Muhammad Khalifa commited on
Commit
39c097c
1 Parent(s): 877878e

first commit

Browse files
1a_52k/best_model/adapter_config.json ADDED
@@ -0,0 +1,21 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "base_model_name_or_path": "huggyllama/llama-7b",
3
+ "bias": "none",
4
+ "enable_lora": null,
5
+ "fan_in_fan_out": false,
6
+ "inference_mode": true,
7
+ "init_lora_weights": true,
8
+ "lora_alpha": 16,
9
+ "lora_dropout": 0.05,
10
+ "merge_weights": false,
11
+ "modules_to_save": null,
12
+ "peft_type": "LORA",
13
+ "r": 16,
14
+ "target_modules": [
15
+ "q_proj",
16
+ "k_proj",
17
+ "v_proj",
18
+ "o_proj"
19
+ ],
20
+ "task_type": "CAUSAL_LM"
21
+ }
1a_52k/best_model/adapter_model.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:6e5871c6d2fa0fb90709370431883c7b20149cacf4175bd9f4766aaf362d279f
3
+ size 67201357
1a_52k/best_model/optimizer.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:a64ca6663da69a276883fb6a52102ace936f93df4122e0382ef35b92c0ad6755
3
+ size 134433093
1a_52k/best_model/rng_state.pth ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:75c52bef46030966bb63ec38778f49d8a8b7d813cc4b4b7b3ba6d83599ed5777
3
+ size 14575
1a_52k/best_model/scheduler.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:25fbc276672b2f61745ccf7554abaf6f5ce340e9f74caad0df42e27f32a75c00
3
+ size 627
1a_52k/best_model/trainer_state.json ADDED
@@ -0,0 +1,3987 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_metric": 0.6827040314674377,
3
+ "best_model_checkpoint": "checkpoints/1a_52k/checkpoint-6200",
4
+ "epoch": 1.9838412926965843,
5
+ "eval_steps": 200,
6
+ "global_step": 6200,
7
+ "is_hyper_param_search": false,
8
+ "is_local_process_zero": true,
9
+ "is_world_process_zero": true,
10
+ "log_history": [
11
+ {
12
+ "epoch": 0.0,
13
+ "learning_rate": 2.6999999999999996e-05,
14
+ "loss": 2.0256,
15
+ "step": 10
16
+ },
17
+ {
18
+ "epoch": 0.01,
19
+ "learning_rate": 5.399999999999999e-05,
20
+ "loss": 1.9236,
21
+ "step": 20
22
+ },
23
+ {
24
+ "epoch": 0.01,
25
+ "learning_rate": 7.8e-05,
26
+ "loss": 1.712,
27
+ "step": 30
28
+ },
29
+ {
30
+ "epoch": 0.01,
31
+ "learning_rate": 0.00010799999999999998,
32
+ "loss": 1.2747,
33
+ "step": 40
34
+ },
35
+ {
36
+ "epoch": 0.02,
37
+ "learning_rate": 0.000138,
38
+ "loss": 1.0657,
39
+ "step": 50
40
+ },
41
+ {
42
+ "epoch": 0.02,
43
+ "learning_rate": 0.000168,
44
+ "loss": 0.973,
45
+ "step": 60
46
+ },
47
+ {
48
+ "epoch": 0.02,
49
+ "learning_rate": 0.000198,
50
+ "loss": 0.8178,
51
+ "step": 70
52
+ },
53
+ {
54
+ "epoch": 0.03,
55
+ "learning_rate": 0.00022799999999999999,
56
+ "loss": 0.7901,
57
+ "step": 80
58
+ },
59
+ {
60
+ "epoch": 0.03,
61
+ "learning_rate": 0.000258,
62
+ "loss": 0.7289,
63
+ "step": 90
64
+ },
65
+ {
66
+ "epoch": 0.03,
67
+ "learning_rate": 0.00028799999999999995,
68
+ "loss": 0.7429,
69
+ "step": 100
70
+ },
71
+ {
72
+ "epoch": 0.04,
73
+ "learning_rate": 0.0002998840579710145,
74
+ "loss": 0.7631,
75
+ "step": 110
76
+ },
77
+ {
78
+ "epoch": 0.04,
79
+ "learning_rate": 0.0002996908212560386,
80
+ "loss": 0.7339,
81
+ "step": 120
82
+ },
83
+ {
84
+ "epoch": 0.04,
85
+ "learning_rate": 0.00029949758454106277,
86
+ "loss": 0.7435,
87
+ "step": 130
88
+ },
89
+ {
90
+ "epoch": 0.04,
91
+ "learning_rate": 0.00029930434782608696,
92
+ "loss": 0.7333,
93
+ "step": 140
94
+ },
95
+ {
96
+ "epoch": 0.05,
97
+ "learning_rate": 0.0002991111111111111,
98
+ "loss": 0.769,
99
+ "step": 150
100
+ },
101
+ {
102
+ "epoch": 0.05,
103
+ "learning_rate": 0.00029891787439613525,
104
+ "loss": 0.7644,
105
+ "step": 160
106
+ },
107
+ {
108
+ "epoch": 0.05,
109
+ "learning_rate": 0.0002987246376811594,
110
+ "loss": 0.7517,
111
+ "step": 170
112
+ },
113
+ {
114
+ "epoch": 0.06,
115
+ "learning_rate": 0.0002985314009661836,
116
+ "loss": 0.7212,
117
+ "step": 180
118
+ },
119
+ {
120
+ "epoch": 0.06,
121
+ "learning_rate": 0.00029833816425120773,
122
+ "loss": 0.745,
123
+ "step": 190
124
+ },
125
+ {
126
+ "epoch": 0.06,
127
+ "learning_rate": 0.00029814492753623187,
128
+ "loss": 0.7023,
129
+ "step": 200
130
+ },
131
+ {
132
+ "epoch": 0.06,
133
+ "eval_loss": 0.7244767546653748,
134
+ "eval_runtime": 150.1014,
135
+ "eval_samples_per_second": 13.324,
136
+ "eval_steps_per_second": 1.666,
137
+ "step": 200
138
+ },
139
+ {
140
+ "epoch": 0.07,
141
+ "learning_rate": 0.000297951690821256,
142
+ "loss": 0.6783,
143
+ "step": 210
144
+ },
145
+ {
146
+ "epoch": 0.07,
147
+ "learning_rate": 0.00029775845410628016,
148
+ "loss": 0.7327,
149
+ "step": 220
150
+ },
151
+ {
152
+ "epoch": 0.07,
153
+ "learning_rate": 0.00029756521739130435,
154
+ "loss": 0.69,
155
+ "step": 230
156
+ },
157
+ {
158
+ "epoch": 0.08,
159
+ "learning_rate": 0.0002973719806763285,
160
+ "loss": 0.7069,
161
+ "step": 240
162
+ },
163
+ {
164
+ "epoch": 0.08,
165
+ "learning_rate": 0.00029717874396135264,
166
+ "loss": 0.7276,
167
+ "step": 250
168
+ },
169
+ {
170
+ "epoch": 0.08,
171
+ "learning_rate": 0.0002969855072463768,
172
+ "loss": 0.7356,
173
+ "step": 260
174
+ },
175
+ {
176
+ "epoch": 0.09,
177
+ "learning_rate": 0.000296792270531401,
178
+ "loss": 0.7103,
179
+ "step": 270
180
+ },
181
+ {
182
+ "epoch": 0.09,
183
+ "learning_rate": 0.0002965990338164251,
184
+ "loss": 0.7224,
185
+ "step": 280
186
+ },
187
+ {
188
+ "epoch": 0.09,
189
+ "learning_rate": 0.00029640579710144926,
190
+ "loss": 0.6898,
191
+ "step": 290
192
+ },
193
+ {
194
+ "epoch": 0.1,
195
+ "learning_rate": 0.0002962125603864734,
196
+ "loss": 0.7222,
197
+ "step": 300
198
+ },
199
+ {
200
+ "epoch": 0.1,
201
+ "learning_rate": 0.00029601932367149755,
202
+ "loss": 0.685,
203
+ "step": 310
204
+ },
205
+ {
206
+ "epoch": 0.1,
207
+ "learning_rate": 0.00029582608695652175,
208
+ "loss": 0.7389,
209
+ "step": 320
210
+ },
211
+ {
212
+ "epoch": 0.11,
213
+ "learning_rate": 0.0002956328502415459,
214
+ "loss": 0.6956,
215
+ "step": 330
216
+ },
217
+ {
218
+ "epoch": 0.11,
219
+ "learning_rate": 0.00029543961352657003,
220
+ "loss": 0.7191,
221
+ "step": 340
222
+ },
223
+ {
224
+ "epoch": 0.11,
225
+ "learning_rate": 0.0002952463768115942,
226
+ "loss": 0.6938,
227
+ "step": 350
228
+ },
229
+ {
230
+ "epoch": 0.12,
231
+ "learning_rate": 0.00029505314009661837,
232
+ "loss": 0.695,
233
+ "step": 360
234
+ },
235
+ {
236
+ "epoch": 0.12,
237
+ "learning_rate": 0.0002948599033816425,
238
+ "loss": 0.7169,
239
+ "step": 370
240
+ },
241
+ {
242
+ "epoch": 0.12,
243
+ "learning_rate": 0.00029466666666666666,
244
+ "loss": 0.7313,
245
+ "step": 380
246
+ },
247
+ {
248
+ "epoch": 0.12,
249
+ "learning_rate": 0.0002944734299516908,
250
+ "loss": 0.7016,
251
+ "step": 390
252
+ },
253
+ {
254
+ "epoch": 0.13,
255
+ "learning_rate": 0.00029428019323671494,
256
+ "loss": 0.7149,
257
+ "step": 400
258
+ },
259
+ {
260
+ "epoch": 0.13,
261
+ "eval_loss": 0.7104699611663818,
262
+ "eval_runtime": 150.0015,
263
+ "eval_samples_per_second": 13.333,
264
+ "eval_steps_per_second": 1.667,
265
+ "step": 400
266
+ },
267
+ {
268
+ "epoch": 0.13,
269
+ "learning_rate": 0.00029408695652173914,
270
+ "loss": 0.7133,
271
+ "step": 410
272
+ },
273
+ {
274
+ "epoch": 0.13,
275
+ "learning_rate": 0.0002938937198067633,
276
+ "loss": 0.7568,
277
+ "step": 420
278
+ },
279
+ {
280
+ "epoch": 0.14,
281
+ "learning_rate": 0.0002937004830917874,
282
+ "loss": 0.7159,
283
+ "step": 430
284
+ },
285
+ {
286
+ "epoch": 0.14,
287
+ "learning_rate": 0.00029350724637681156,
288
+ "loss": 0.7356,
289
+ "step": 440
290
+ },
291
+ {
292
+ "epoch": 0.14,
293
+ "learning_rate": 0.00029331400966183576,
294
+ "loss": 0.665,
295
+ "step": 450
296
+ },
297
+ {
298
+ "epoch": 0.15,
299
+ "learning_rate": 0.0002931207729468599,
300
+ "loss": 0.7017,
301
+ "step": 460
302
+ },
303
+ {
304
+ "epoch": 0.15,
305
+ "learning_rate": 0.00029292753623188405,
306
+ "loss": 0.6979,
307
+ "step": 470
308
+ },
309
+ {
310
+ "epoch": 0.15,
311
+ "learning_rate": 0.0002927342995169082,
312
+ "loss": 0.7104,
313
+ "step": 480
314
+ },
315
+ {
316
+ "epoch": 0.16,
317
+ "learning_rate": 0.00029254106280193233,
318
+ "loss": 0.6907,
319
+ "step": 490
320
+ },
321
+ {
322
+ "epoch": 0.16,
323
+ "learning_rate": 0.00029234782608695653,
324
+ "loss": 0.7407,
325
+ "step": 500
326
+ },
327
+ {
328
+ "epoch": 0.16,
329
+ "learning_rate": 0.00029215458937198067,
330
+ "loss": 0.7028,
331
+ "step": 510
332
+ },
333
+ {
334
+ "epoch": 0.17,
335
+ "learning_rate": 0.0002919613526570048,
336
+ "loss": 0.7102,
337
+ "step": 520
338
+ },
339
+ {
340
+ "epoch": 0.17,
341
+ "learning_rate": 0.00029176811594202896,
342
+ "loss": 0.6956,
343
+ "step": 530
344
+ },
345
+ {
346
+ "epoch": 0.17,
347
+ "learning_rate": 0.00029157487922705315,
348
+ "loss": 0.6926,
349
+ "step": 540
350
+ },
351
+ {
352
+ "epoch": 0.18,
353
+ "learning_rate": 0.0002913816425120773,
354
+ "loss": 0.7114,
355
+ "step": 550
356
+ },
357
+ {
358
+ "epoch": 0.18,
359
+ "learning_rate": 0.00029118840579710144,
360
+ "loss": 0.7066,
361
+ "step": 560
362
+ },
363
+ {
364
+ "epoch": 0.18,
365
+ "learning_rate": 0.0002909951690821256,
366
+ "loss": 0.6853,
367
+ "step": 570
368
+ },
369
+ {
370
+ "epoch": 0.19,
371
+ "learning_rate": 0.0002908019323671497,
372
+ "loss": 0.7063,
373
+ "step": 580
374
+ },
375
+ {
376
+ "epoch": 0.19,
377
+ "learning_rate": 0.0002906086956521739,
378
+ "loss": 0.7064,
379
+ "step": 590
380
+ },
381
+ {
382
+ "epoch": 0.19,
383
+ "learning_rate": 0.00029041545893719806,
384
+ "loss": 0.729,
385
+ "step": 600
386
+ },
387
+ {
388
+ "epoch": 0.19,
389
+ "eval_loss": 0.7055845856666565,
390
+ "eval_runtime": 149.8446,
391
+ "eval_samples_per_second": 13.347,
392
+ "eval_steps_per_second": 1.668,
393
+ "step": 600
394
+ },
395
+ {
396
+ "epoch": 0.2,
397
+ "learning_rate": 0.0002902222222222222,
398
+ "loss": 0.7098,
399
+ "step": 610
400
+ },
401
+ {
402
+ "epoch": 0.2,
403
+ "learning_rate": 0.00029002898550724635,
404
+ "loss": 0.6363,
405
+ "step": 620
406
+ },
407
+ {
408
+ "epoch": 0.2,
409
+ "learning_rate": 0.0002898357487922705,
410
+ "loss": 0.7128,
411
+ "step": 630
412
+ },
413
+ {
414
+ "epoch": 0.2,
415
+ "learning_rate": 0.0002896425120772947,
416
+ "loss": 0.692,
417
+ "step": 640
418
+ },
419
+ {
420
+ "epoch": 0.21,
421
+ "learning_rate": 0.00028944927536231883,
422
+ "loss": 0.7068,
423
+ "step": 650
424
+ },
425
+ {
426
+ "epoch": 0.21,
427
+ "learning_rate": 0.00028925603864734297,
428
+ "loss": 0.7191,
429
+ "step": 660
430
+ },
431
+ {
432
+ "epoch": 0.21,
433
+ "learning_rate": 0.0002890628019323671,
434
+ "loss": 0.6865,
435
+ "step": 670
436
+ },
437
+ {
438
+ "epoch": 0.22,
439
+ "learning_rate": 0.0002888695652173913,
440
+ "loss": 0.7331,
441
+ "step": 680
442
+ },
443
+ {
444
+ "epoch": 0.22,
445
+ "learning_rate": 0.00028867632850241545,
446
+ "loss": 0.652,
447
+ "step": 690
448
+ },
449
+ {
450
+ "epoch": 0.22,
451
+ "learning_rate": 0.0002884830917874396,
452
+ "loss": 0.7188,
453
+ "step": 700
454
+ },
455
+ {
456
+ "epoch": 0.23,
457
+ "learning_rate": 0.00028828985507246374,
458
+ "loss": 0.6834,
459
+ "step": 710
460
+ },
461
+ {
462
+ "epoch": 0.23,
463
+ "learning_rate": 0.0002880966183574879,
464
+ "loss": 0.693,
465
+ "step": 720
466
+ },
467
+ {
468
+ "epoch": 0.23,
469
+ "learning_rate": 0.0002879033816425121,
470
+ "loss": 0.7445,
471
+ "step": 730
472
+ },
473
+ {
474
+ "epoch": 0.24,
475
+ "learning_rate": 0.0002877101449275362,
476
+ "loss": 0.6904,
477
+ "step": 740
478
+ },
479
+ {
480
+ "epoch": 0.24,
481
+ "learning_rate": 0.00028751690821256036,
482
+ "loss": 0.7547,
483
+ "step": 750
484
+ },
485
+ {
486
+ "epoch": 0.24,
487
+ "learning_rate": 0.0002873236714975845,
488
+ "loss": 0.7068,
489
+ "step": 760
490
+ },
491
+ {
492
+ "epoch": 0.25,
493
+ "learning_rate": 0.0002871304347826087,
494
+ "loss": 0.6677,
495
+ "step": 770
496
+ },
497
+ {
498
+ "epoch": 0.25,
499
+ "learning_rate": 0.00028693719806763285,
500
+ "loss": 0.6808,
501
+ "step": 780
502
+ },
503
+ {
504
+ "epoch": 0.25,
505
+ "learning_rate": 0.000286743961352657,
506
+ "loss": 0.7142,
507
+ "step": 790
508
+ },
509
+ {
510
+ "epoch": 0.26,
511
+ "learning_rate": 0.00028655072463768113,
512
+ "loss": 0.7126,
513
+ "step": 800
514
+ },
515
+ {
516
+ "epoch": 0.26,
517
+ "eval_loss": 0.7015364766120911,
518
+ "eval_runtime": 149.6299,
519
+ "eval_samples_per_second": 13.366,
520
+ "eval_steps_per_second": 1.671,
521
+ "step": 800
522
+ },
523
+ {
524
+ "epoch": 0.26,
525
+ "learning_rate": 0.0002863574879227053,
526
+ "loss": 0.69,
527
+ "step": 810
528
+ },
529
+ {
530
+ "epoch": 0.26,
531
+ "learning_rate": 0.00028616425120772947,
532
+ "loss": 0.6772,
533
+ "step": 820
534
+ },
535
+ {
536
+ "epoch": 0.27,
537
+ "learning_rate": 0.0002859710144927536,
538
+ "loss": 0.6881,
539
+ "step": 830
540
+ },
541
+ {
542
+ "epoch": 0.27,
543
+ "learning_rate": 0.00028577777777777776,
544
+ "loss": 0.6509,
545
+ "step": 840
546
+ },
547
+ {
548
+ "epoch": 0.27,
549
+ "learning_rate": 0.0002855845410628019,
550
+ "loss": 0.6924,
551
+ "step": 850
552
+ },
553
+ {
554
+ "epoch": 0.28,
555
+ "learning_rate": 0.00028539130434782604,
556
+ "loss": 0.7116,
557
+ "step": 860
558
+ },
559
+ {
560
+ "epoch": 0.28,
561
+ "learning_rate": 0.00028519806763285024,
562
+ "loss": 0.711,
563
+ "step": 870
564
+ },
565
+ {
566
+ "epoch": 0.28,
567
+ "learning_rate": 0.0002850048309178744,
568
+ "loss": 0.6897,
569
+ "step": 880
570
+ },
571
+ {
572
+ "epoch": 0.28,
573
+ "learning_rate": 0.0002848115942028985,
574
+ "loss": 0.6689,
575
+ "step": 890
576
+ },
577
+ {
578
+ "epoch": 0.29,
579
+ "learning_rate": 0.00028461835748792266,
580
+ "loss": 0.6891,
581
+ "step": 900
582
+ },
583
+ {
584
+ "epoch": 0.29,
585
+ "learning_rate": 0.00028442512077294686,
586
+ "loss": 0.6985,
587
+ "step": 910
588
+ },
589
+ {
590
+ "epoch": 0.29,
591
+ "learning_rate": 0.000284231884057971,
592
+ "loss": 0.6643,
593
+ "step": 920
594
+ },
595
+ {
596
+ "epoch": 0.3,
597
+ "learning_rate": 0.00028403864734299515,
598
+ "loss": 0.7277,
599
+ "step": 930
600
+ },
601
+ {
602
+ "epoch": 0.3,
603
+ "learning_rate": 0.0002838454106280193,
604
+ "loss": 0.703,
605
+ "step": 940
606
+ },
607
+ {
608
+ "epoch": 0.3,
609
+ "learning_rate": 0.00028365217391304343,
610
+ "loss": 0.6678,
611
+ "step": 950
612
+ },
613
+ {
614
+ "epoch": 0.31,
615
+ "learning_rate": 0.00028345893719806763,
616
+ "loss": 0.6836,
617
+ "step": 960
618
+ },
619
+ {
620
+ "epoch": 0.31,
621
+ "learning_rate": 0.00028326570048309177,
622
+ "loss": 0.7164,
623
+ "step": 970
624
+ },
625
+ {
626
+ "epoch": 0.31,
627
+ "learning_rate": 0.0002830724637681159,
628
+ "loss": 0.6382,
629
+ "step": 980
630
+ },
631
+ {
632
+ "epoch": 0.32,
633
+ "learning_rate": 0.00028287922705314006,
634
+ "loss": 0.7,
635
+ "step": 990
636
+ },
637
+ {
638
+ "epoch": 0.32,
639
+ "learning_rate": 0.0002826859903381642,
640
+ "loss": 0.6974,
641
+ "step": 1000
642
+ },
643
+ {
644
+ "epoch": 0.32,
645
+ "eval_loss": 0.6978325843811035,
646
+ "eval_runtime": 149.6863,
647
+ "eval_samples_per_second": 13.361,
648
+ "eval_steps_per_second": 1.67,
649
+ "step": 1000
650
+ },
651
+ {
652
+ "epoch": 0.32,
653
+ "learning_rate": 0.0002824927536231884,
654
+ "loss": 0.6644,
655
+ "step": 1010
656
+ },
657
+ {
658
+ "epoch": 0.33,
659
+ "learning_rate": 0.00028229951690821254,
660
+ "loss": 0.672,
661
+ "step": 1020
662
+ },
663
+ {
664
+ "epoch": 0.33,
665
+ "learning_rate": 0.0002821062801932367,
666
+ "loss": 0.7036,
667
+ "step": 1030
668
+ },
669
+ {
670
+ "epoch": 0.33,
671
+ "learning_rate": 0.0002819130434782608,
672
+ "loss": 0.7049,
673
+ "step": 1040
674
+ },
675
+ {
676
+ "epoch": 0.34,
677
+ "learning_rate": 0.000281719806763285,
678
+ "loss": 0.7033,
679
+ "step": 1050
680
+ },
681
+ {
682
+ "epoch": 0.34,
683
+ "learning_rate": 0.00028152657004830916,
684
+ "loss": 0.7059,
685
+ "step": 1060
686
+ },
687
+ {
688
+ "epoch": 0.34,
689
+ "learning_rate": 0.0002813333333333333,
690
+ "loss": 0.6915,
691
+ "step": 1070
692
+ },
693
+ {
694
+ "epoch": 0.35,
695
+ "learning_rate": 0.00028114009661835745,
696
+ "loss": 0.7609,
697
+ "step": 1080
698
+ },
699
+ {
700
+ "epoch": 0.35,
701
+ "learning_rate": 0.0002809468599033816,
702
+ "loss": 0.6756,
703
+ "step": 1090
704
+ },
705
+ {
706
+ "epoch": 0.35,
707
+ "learning_rate": 0.0002807536231884058,
708
+ "loss": 0.7127,
709
+ "step": 1100
710
+ },
711
+ {
712
+ "epoch": 0.36,
713
+ "learning_rate": 0.00028056038647342993,
714
+ "loss": 0.7212,
715
+ "step": 1110
716
+ },
717
+ {
718
+ "epoch": 0.36,
719
+ "learning_rate": 0.00028036714975845407,
720
+ "loss": 0.6974,
721
+ "step": 1120
722
+ },
723
+ {
724
+ "epoch": 0.36,
725
+ "learning_rate": 0.0002801739130434782,
726
+ "loss": 0.6948,
727
+ "step": 1130
728
+ },
729
+ {
730
+ "epoch": 0.36,
731
+ "learning_rate": 0.0002799806763285024,
732
+ "loss": 0.73,
733
+ "step": 1140
734
+ },
735
+ {
736
+ "epoch": 0.37,
737
+ "learning_rate": 0.00027978743961352655,
738
+ "loss": 0.7154,
739
+ "step": 1150
740
+ },
741
+ {
742
+ "epoch": 0.37,
743
+ "learning_rate": 0.0002795942028985507,
744
+ "loss": 0.7007,
745
+ "step": 1160
746
+ },
747
+ {
748
+ "epoch": 0.37,
749
+ "learning_rate": 0.00027940096618357484,
750
+ "loss": 0.6854,
751
+ "step": 1170
752
+ },
753
+ {
754
+ "epoch": 0.38,
755
+ "learning_rate": 0.000279207729468599,
756
+ "loss": 0.7075,
757
+ "step": 1180
758
+ },
759
+ {
760
+ "epoch": 0.38,
761
+ "learning_rate": 0.0002790144927536232,
762
+ "loss": 0.6942,
763
+ "step": 1190
764
+ },
765
+ {
766
+ "epoch": 0.38,
767
+ "learning_rate": 0.0002788212560386473,
768
+ "loss": 0.7389,
769
+ "step": 1200
770
+ },
771
+ {
772
+ "epoch": 0.38,
773
+ "eval_loss": 0.6969788670539856,
774
+ "eval_runtime": 149.7859,
775
+ "eval_samples_per_second": 13.352,
776
+ "eval_steps_per_second": 1.669,
777
+ "step": 1200
778
+ },
779
+ {
780
+ "epoch": 0.39,
781
+ "learning_rate": 0.00027862801932367146,
782
+ "loss": 0.6633,
783
+ "step": 1210
784
+ },
785
+ {
786
+ "epoch": 0.39,
787
+ "learning_rate": 0.0002784347826086956,
788
+ "loss": 0.6741,
789
+ "step": 1220
790
+ },
791
+ {
792
+ "epoch": 0.39,
793
+ "learning_rate": 0.00027824154589371975,
794
+ "loss": 0.702,
795
+ "step": 1230
796
+ },
797
+ {
798
+ "epoch": 0.4,
799
+ "learning_rate": 0.00027804830917874395,
800
+ "loss": 0.691,
801
+ "step": 1240
802
+ },
803
+ {
804
+ "epoch": 0.4,
805
+ "learning_rate": 0.0002778550724637681,
806
+ "loss": 0.7049,
807
+ "step": 1250
808
+ },
809
+ {
810
+ "epoch": 0.4,
811
+ "learning_rate": 0.00027766183574879223,
812
+ "loss": 0.7254,
813
+ "step": 1260
814
+ },
815
+ {
816
+ "epoch": 0.41,
817
+ "learning_rate": 0.0002774685990338164,
818
+ "loss": 0.6732,
819
+ "step": 1270
820
+ },
821
+ {
822
+ "epoch": 0.41,
823
+ "learning_rate": 0.00027727536231884057,
824
+ "loss": 0.6995,
825
+ "step": 1280
826
+ },
827
+ {
828
+ "epoch": 0.41,
829
+ "learning_rate": 0.0002770821256038647,
830
+ "loss": 0.687,
831
+ "step": 1290
832
+ },
833
+ {
834
+ "epoch": 0.42,
835
+ "learning_rate": 0.00027688888888888885,
836
+ "loss": 0.6831,
837
+ "step": 1300
838
+ },
839
+ {
840
+ "epoch": 0.42,
841
+ "learning_rate": 0.000276695652173913,
842
+ "loss": 0.7189,
843
+ "step": 1310
844
+ },
845
+ {
846
+ "epoch": 0.42,
847
+ "learning_rate": 0.00027650241545893714,
848
+ "loss": 0.6996,
849
+ "step": 1320
850
+ },
851
+ {
852
+ "epoch": 0.43,
853
+ "learning_rate": 0.00027630917874396134,
854
+ "loss": 0.696,
855
+ "step": 1330
856
+ },
857
+ {
858
+ "epoch": 0.43,
859
+ "learning_rate": 0.0002761159420289855,
860
+ "loss": 0.7237,
861
+ "step": 1340
862
+ },
863
+ {
864
+ "epoch": 0.43,
865
+ "learning_rate": 0.0002759227053140096,
866
+ "loss": 0.7266,
867
+ "step": 1350
868
+ },
869
+ {
870
+ "epoch": 0.44,
871
+ "learning_rate": 0.00027572946859903376,
872
+ "loss": 0.6745,
873
+ "step": 1360
874
+ },
875
+ {
876
+ "epoch": 0.44,
877
+ "learning_rate": 0.0002755362318840579,
878
+ "loss": 0.7102,
879
+ "step": 1370
880
+ },
881
+ {
882
+ "epoch": 0.44,
883
+ "learning_rate": 0.0002753429951690821,
884
+ "loss": 0.6922,
885
+ "step": 1380
886
+ },
887
+ {
888
+ "epoch": 0.44,
889
+ "learning_rate": 0.00027514975845410625,
890
+ "loss": 0.7059,
891
+ "step": 1390
892
+ },
893
+ {
894
+ "epoch": 0.45,
895
+ "learning_rate": 0.0002749565217391304,
896
+ "loss": 0.7198,
897
+ "step": 1400
898
+ },
899
+ {
900
+ "epoch": 0.45,
901
+ "eval_loss": 0.6949622631072998,
902
+ "eval_runtime": 150.1806,
903
+ "eval_samples_per_second": 13.317,
904
+ "eval_steps_per_second": 1.665,
905
+ "step": 1400
906
+ },
907
+ {
908
+ "epoch": 0.45,
909
+ "learning_rate": 0.00027476328502415453,
910
+ "loss": 0.6608,
911
+ "step": 1410
912
+ },
913
+ {
914
+ "epoch": 0.45,
915
+ "learning_rate": 0.00027457004830917873,
916
+ "loss": 0.6699,
917
+ "step": 1420
918
+ },
919
+ {
920
+ "epoch": 0.46,
921
+ "learning_rate": 0.00027437681159420287,
922
+ "loss": 0.6817,
923
+ "step": 1430
924
+ },
925
+ {
926
+ "epoch": 0.46,
927
+ "learning_rate": 0.000274183574879227,
928
+ "loss": 0.7019,
929
+ "step": 1440
930
+ },
931
+ {
932
+ "epoch": 0.46,
933
+ "learning_rate": 0.00027399033816425116,
934
+ "loss": 0.6839,
935
+ "step": 1450
936
+ },
937
+ {
938
+ "epoch": 0.47,
939
+ "learning_rate": 0.0002737971014492753,
940
+ "loss": 0.6725,
941
+ "step": 1460
942
+ },
943
+ {
944
+ "epoch": 0.47,
945
+ "learning_rate": 0.0002736038647342995,
946
+ "loss": 0.7065,
947
+ "step": 1470
948
+ },
949
+ {
950
+ "epoch": 0.47,
951
+ "learning_rate": 0.00027341062801932364,
952
+ "loss": 0.6728,
953
+ "step": 1480
954
+ },
955
+ {
956
+ "epoch": 0.48,
957
+ "learning_rate": 0.0002732173913043478,
958
+ "loss": 0.6449,
959
+ "step": 1490
960
+ },
961
+ {
962
+ "epoch": 0.48,
963
+ "learning_rate": 0.0002730241545893719,
964
+ "loss": 0.7094,
965
+ "step": 1500
966
+ },
967
+ {
968
+ "epoch": 0.48,
969
+ "learning_rate": 0.0002728309178743961,
970
+ "loss": 0.6881,
971
+ "step": 1510
972
+ },
973
+ {
974
+ "epoch": 0.49,
975
+ "learning_rate": 0.00027263768115942026,
976
+ "loss": 0.6804,
977
+ "step": 1520
978
+ },
979
+ {
980
+ "epoch": 0.49,
981
+ "learning_rate": 0.0002724444444444444,
982
+ "loss": 0.6822,
983
+ "step": 1530
984
+ },
985
+ {
986
+ "epoch": 0.49,
987
+ "learning_rate": 0.00027225120772946855,
988
+ "loss": 0.6816,
989
+ "step": 1540
990
+ },
991
+ {
992
+ "epoch": 0.5,
993
+ "learning_rate": 0.0002720579710144927,
994
+ "loss": 0.6615,
995
+ "step": 1550
996
+ },
997
+ {
998
+ "epoch": 0.5,
999
+ "learning_rate": 0.0002718647342995169,
1000
+ "loss": 0.6945,
1001
+ "step": 1560
1002
+ },
1003
+ {
1004
+ "epoch": 0.5,
1005
+ "learning_rate": 0.00027167149758454103,
1006
+ "loss": 0.7249,
1007
+ "step": 1570
1008
+ },
1009
+ {
1010
+ "epoch": 0.51,
1011
+ "learning_rate": 0.00027147826086956517,
1012
+ "loss": 0.7061,
1013
+ "step": 1580
1014
+ },
1015
+ {
1016
+ "epoch": 0.51,
1017
+ "learning_rate": 0.0002712850241545893,
1018
+ "loss": 0.6909,
1019
+ "step": 1590
1020
+ },
1021
+ {
1022
+ "epoch": 0.51,
1023
+ "learning_rate": 0.0002710917874396135,
1024
+ "loss": 0.7214,
1025
+ "step": 1600
1026
+ },
1027
+ {
1028
+ "epoch": 0.51,
1029
+ "eval_loss": 0.6923746466636658,
1030
+ "eval_runtime": 150.1003,
1031
+ "eval_samples_per_second": 13.324,
1032
+ "eval_steps_per_second": 1.666,
1033
+ "step": 1600
1034
+ },
1035
+ {
1036
+ "epoch": 0.52,
1037
+ "learning_rate": 0.00027089855072463765,
1038
+ "loss": 0.7448,
1039
+ "step": 1610
1040
+ },
1041
+ {
1042
+ "epoch": 0.52,
1043
+ "learning_rate": 0.0002707053140096618,
1044
+ "loss": 0.6746,
1045
+ "step": 1620
1046
+ },
1047
+ {
1048
+ "epoch": 0.52,
1049
+ "learning_rate": 0.00027051207729468594,
1050
+ "loss": 0.6952,
1051
+ "step": 1630
1052
+ },
1053
+ {
1054
+ "epoch": 0.52,
1055
+ "learning_rate": 0.0002703188405797101,
1056
+ "loss": 0.6985,
1057
+ "step": 1640
1058
+ },
1059
+ {
1060
+ "epoch": 0.53,
1061
+ "learning_rate": 0.0002701256038647343,
1062
+ "loss": 0.706,
1063
+ "step": 1650
1064
+ },
1065
+ {
1066
+ "epoch": 0.53,
1067
+ "learning_rate": 0.0002699323671497584,
1068
+ "loss": 0.6838,
1069
+ "step": 1660
1070
+ },
1071
+ {
1072
+ "epoch": 0.53,
1073
+ "learning_rate": 0.00026973913043478256,
1074
+ "loss": 0.6809,
1075
+ "step": 1670
1076
+ },
1077
+ {
1078
+ "epoch": 0.54,
1079
+ "learning_rate": 0.0002695458937198067,
1080
+ "loss": 0.7066,
1081
+ "step": 1680
1082
+ },
1083
+ {
1084
+ "epoch": 0.54,
1085
+ "learning_rate": 0.0002693526570048309,
1086
+ "loss": 0.6828,
1087
+ "step": 1690
1088
+ },
1089
+ {
1090
+ "epoch": 0.54,
1091
+ "learning_rate": 0.00026915942028985505,
1092
+ "loss": 0.6653,
1093
+ "step": 1700
1094
+ },
1095
+ {
1096
+ "epoch": 0.55,
1097
+ "learning_rate": 0.0002689661835748792,
1098
+ "loss": 0.6772,
1099
+ "step": 1710
1100
+ },
1101
+ {
1102
+ "epoch": 0.55,
1103
+ "learning_rate": 0.00026877294685990333,
1104
+ "loss": 0.6798,
1105
+ "step": 1720
1106
+ },
1107
+ {
1108
+ "epoch": 0.55,
1109
+ "learning_rate": 0.00026857971014492753,
1110
+ "loss": 0.6838,
1111
+ "step": 1730
1112
+ },
1113
+ {
1114
+ "epoch": 0.56,
1115
+ "learning_rate": 0.00026838647342995167,
1116
+ "loss": 0.7115,
1117
+ "step": 1740
1118
+ },
1119
+ {
1120
+ "epoch": 0.56,
1121
+ "learning_rate": 0.0002681932367149758,
1122
+ "loss": 0.6907,
1123
+ "step": 1750
1124
+ },
1125
+ {
1126
+ "epoch": 0.56,
1127
+ "learning_rate": 0.00026799999999999995,
1128
+ "loss": 0.6587,
1129
+ "step": 1760
1130
+ },
1131
+ {
1132
+ "epoch": 0.57,
1133
+ "learning_rate": 0.0002678067632850241,
1134
+ "loss": 0.7089,
1135
+ "step": 1770
1136
+ },
1137
+ {
1138
+ "epoch": 0.57,
1139
+ "learning_rate": 0.0002676135265700483,
1140
+ "loss": 0.6947,
1141
+ "step": 1780
1142
+ },
1143
+ {
1144
+ "epoch": 0.57,
1145
+ "learning_rate": 0.00026742028985507244,
1146
+ "loss": 0.698,
1147
+ "step": 1790
1148
+ },
1149
+ {
1150
+ "epoch": 0.58,
1151
+ "learning_rate": 0.0002672270531400966,
1152
+ "loss": 0.7183,
1153
+ "step": 1800
1154
+ },
1155
+ {
1156
+ "epoch": 0.58,
1157
+ "eval_loss": 0.6911550164222717,
1158
+ "eval_runtime": 368.3262,
1159
+ "eval_samples_per_second": 5.43,
1160
+ "eval_steps_per_second": 0.679,
1161
+ "step": 1800
1162
+ },
1163
+ {
1164
+ "epoch": 0.58,
1165
+ "learning_rate": 0.0002670338164251207,
1166
+ "loss": 0.7501,
1167
+ "step": 1810
1168
+ },
1169
+ {
1170
+ "epoch": 0.58,
1171
+ "learning_rate": 0.0002668405797101449,
1172
+ "loss": 0.6472,
1173
+ "step": 1820
1174
+ },
1175
+ {
1176
+ "epoch": 0.59,
1177
+ "learning_rate": 0.00026664734299516906,
1178
+ "loss": 0.6773,
1179
+ "step": 1830
1180
+ },
1181
+ {
1182
+ "epoch": 0.59,
1183
+ "learning_rate": 0.0002664541062801932,
1184
+ "loss": 0.7195,
1185
+ "step": 1840
1186
+ },
1187
+ {
1188
+ "epoch": 0.59,
1189
+ "learning_rate": 0.00026626086956521735,
1190
+ "loss": 0.7111,
1191
+ "step": 1850
1192
+ },
1193
+ {
1194
+ "epoch": 0.6,
1195
+ "learning_rate": 0.0002660676328502415,
1196
+ "loss": 0.6921,
1197
+ "step": 1860
1198
+ },
1199
+ {
1200
+ "epoch": 0.6,
1201
+ "learning_rate": 0.0002658743961352657,
1202
+ "loss": 0.6776,
1203
+ "step": 1870
1204
+ },
1205
+ {
1206
+ "epoch": 0.6,
1207
+ "learning_rate": 0.00026568115942028983,
1208
+ "loss": 0.6911,
1209
+ "step": 1880
1210
+ },
1211
+ {
1212
+ "epoch": 0.6,
1213
+ "learning_rate": 0.00026548792270531397,
1214
+ "loss": 0.7253,
1215
+ "step": 1890
1216
+ },
1217
+ {
1218
+ "epoch": 0.61,
1219
+ "learning_rate": 0.0002652946859903381,
1220
+ "loss": 0.672,
1221
+ "step": 1900
1222
+ },
1223
+ {
1224
+ "epoch": 0.61,
1225
+ "learning_rate": 0.0002651014492753623,
1226
+ "loss": 0.7156,
1227
+ "step": 1910
1228
+ },
1229
+ {
1230
+ "epoch": 0.61,
1231
+ "learning_rate": 0.00026490821256038645,
1232
+ "loss": 0.6929,
1233
+ "step": 1920
1234
+ },
1235
+ {
1236
+ "epoch": 0.62,
1237
+ "learning_rate": 0.0002647149758454106,
1238
+ "loss": 0.714,
1239
+ "step": 1930
1240
+ },
1241
+ {
1242
+ "epoch": 0.62,
1243
+ "learning_rate": 0.00026452173913043474,
1244
+ "loss": 0.6834,
1245
+ "step": 1940
1246
+ },
1247
+ {
1248
+ "epoch": 0.62,
1249
+ "learning_rate": 0.0002643285024154589,
1250
+ "loss": 0.7413,
1251
+ "step": 1950
1252
+ },
1253
+ {
1254
+ "epoch": 0.63,
1255
+ "learning_rate": 0.0002641352657004831,
1256
+ "loss": 0.6369,
1257
+ "step": 1960
1258
+ },
1259
+ {
1260
+ "epoch": 0.63,
1261
+ "learning_rate": 0.0002639420289855072,
1262
+ "loss": 0.6581,
1263
+ "step": 1970
1264
+ },
1265
+ {
1266
+ "epoch": 0.63,
1267
+ "learning_rate": 0.00026374879227053136,
1268
+ "loss": 0.644,
1269
+ "step": 1980
1270
+ },
1271
+ {
1272
+ "epoch": 0.64,
1273
+ "learning_rate": 0.0002635555555555555,
1274
+ "loss": 0.675,
1275
+ "step": 1990
1276
+ },
1277
+ {
1278
+ "epoch": 0.64,
1279
+ "learning_rate": 0.0002633623188405797,
1280
+ "loss": 0.6935,
1281
+ "step": 2000
1282
+ },
1283
+ {
1284
+ "epoch": 0.64,
1285
+ "eval_loss": 0.6894997954368591,
1286
+ "eval_runtime": 384.4995,
1287
+ "eval_samples_per_second": 5.202,
1288
+ "eval_steps_per_second": 0.65,
1289
+ "step": 2000
1290
+ },
1291
+ {
1292
+ "epoch": 0.64,
1293
+ "learning_rate": 0.00026316908212560384,
1294
+ "loss": 0.6739,
1295
+ "step": 2010
1296
+ },
1297
+ {
1298
+ "epoch": 0.65,
1299
+ "learning_rate": 0.000262975845410628,
1300
+ "loss": 0.719,
1301
+ "step": 2020
1302
+ },
1303
+ {
1304
+ "epoch": 0.65,
1305
+ "learning_rate": 0.00026278260869565213,
1306
+ "loss": 0.6724,
1307
+ "step": 2030
1308
+ },
1309
+ {
1310
+ "epoch": 0.65,
1311
+ "learning_rate": 0.0002625893719806763,
1312
+ "loss": 0.6736,
1313
+ "step": 2040
1314
+ },
1315
+ {
1316
+ "epoch": 0.66,
1317
+ "learning_rate": 0.00026239613526570047,
1318
+ "loss": 0.675,
1319
+ "step": 2050
1320
+ },
1321
+ {
1322
+ "epoch": 0.66,
1323
+ "learning_rate": 0.0002622028985507246,
1324
+ "loss": 0.7289,
1325
+ "step": 2060
1326
+ },
1327
+ {
1328
+ "epoch": 0.66,
1329
+ "learning_rate": 0.00026200966183574875,
1330
+ "loss": 0.7081,
1331
+ "step": 2070
1332
+ },
1333
+ {
1334
+ "epoch": 0.67,
1335
+ "learning_rate": 0.0002618164251207729,
1336
+ "loss": 0.6529,
1337
+ "step": 2080
1338
+ },
1339
+ {
1340
+ "epoch": 0.67,
1341
+ "learning_rate": 0.0002616231884057971,
1342
+ "loss": 0.6659,
1343
+ "step": 2090
1344
+ },
1345
+ {
1346
+ "epoch": 0.67,
1347
+ "learning_rate": 0.00026142995169082124,
1348
+ "loss": 0.663,
1349
+ "step": 2100
1350
+ },
1351
+ {
1352
+ "epoch": 0.68,
1353
+ "learning_rate": 0.0002612367149758454,
1354
+ "loss": 0.7021,
1355
+ "step": 2110
1356
+ },
1357
+ {
1358
+ "epoch": 0.68,
1359
+ "learning_rate": 0.0002610434782608695,
1360
+ "loss": 0.6856,
1361
+ "step": 2120
1362
+ },
1363
+ {
1364
+ "epoch": 0.68,
1365
+ "learning_rate": 0.0002608502415458937,
1366
+ "loss": 0.6762,
1367
+ "step": 2130
1368
+ },
1369
+ {
1370
+ "epoch": 0.68,
1371
+ "learning_rate": 0.00026065700483091786,
1372
+ "loss": 0.6754,
1373
+ "step": 2140
1374
+ },
1375
+ {
1376
+ "epoch": 0.69,
1377
+ "learning_rate": 0.000260463768115942,
1378
+ "loss": 0.7019,
1379
+ "step": 2150
1380
+ },
1381
+ {
1382
+ "epoch": 0.69,
1383
+ "learning_rate": 0.00026027053140096615,
1384
+ "loss": 0.6847,
1385
+ "step": 2160
1386
+ },
1387
+ {
1388
+ "epoch": 0.69,
1389
+ "learning_rate": 0.0002600772946859903,
1390
+ "loss": 0.6971,
1391
+ "step": 2170
1392
+ },
1393
+ {
1394
+ "epoch": 0.7,
1395
+ "learning_rate": 0.0002598840579710145,
1396
+ "loss": 0.6819,
1397
+ "step": 2180
1398
+ },
1399
+ {
1400
+ "epoch": 0.7,
1401
+ "learning_rate": 0.0002596908212560386,
1402
+ "loss": 0.6898,
1403
+ "step": 2190
1404
+ },
1405
+ {
1406
+ "epoch": 0.7,
1407
+ "learning_rate": 0.00025949758454106277,
1408
+ "loss": 0.698,
1409
+ "step": 2200
1410
+ },
1411
+ {
1412
+ "epoch": 0.7,
1413
+ "eval_loss": 0.6893799304962158,
1414
+ "eval_runtime": 386.4657,
1415
+ "eval_samples_per_second": 5.175,
1416
+ "eval_steps_per_second": 0.647,
1417
+ "step": 2200
1418
+ },
1419
+ {
1420
+ "epoch": 0.71,
1421
+ "learning_rate": 0.0002593043478260869,
1422
+ "loss": 0.6876,
1423
+ "step": 2210
1424
+ },
1425
+ {
1426
+ "epoch": 0.71,
1427
+ "learning_rate": 0.0002591111111111111,
1428
+ "loss": 0.6798,
1429
+ "step": 2220
1430
+ },
1431
+ {
1432
+ "epoch": 0.71,
1433
+ "learning_rate": 0.00025891787439613525,
1434
+ "loss": 0.706,
1435
+ "step": 2230
1436
+ },
1437
+ {
1438
+ "epoch": 0.72,
1439
+ "learning_rate": 0.0002587246376811594,
1440
+ "loss": 0.6495,
1441
+ "step": 2240
1442
+ },
1443
+ {
1444
+ "epoch": 0.72,
1445
+ "learning_rate": 0.00025853140096618354,
1446
+ "loss": 0.6646,
1447
+ "step": 2250
1448
+ },
1449
+ {
1450
+ "epoch": 0.72,
1451
+ "learning_rate": 0.0002583381642512077,
1452
+ "loss": 0.6417,
1453
+ "step": 2260
1454
+ },
1455
+ {
1456
+ "epoch": 0.73,
1457
+ "learning_rate": 0.0002581449275362319,
1458
+ "loss": 0.6681,
1459
+ "step": 2270
1460
+ },
1461
+ {
1462
+ "epoch": 0.73,
1463
+ "learning_rate": 0.000257951690821256,
1464
+ "loss": 0.6689,
1465
+ "step": 2280
1466
+ },
1467
+ {
1468
+ "epoch": 0.73,
1469
+ "learning_rate": 0.00025775845410628016,
1470
+ "loss": 0.6837,
1471
+ "step": 2290
1472
+ },
1473
+ {
1474
+ "epoch": 0.74,
1475
+ "learning_rate": 0.0002575652173913043,
1476
+ "loss": 0.7031,
1477
+ "step": 2300
1478
+ },
1479
+ {
1480
+ "epoch": 0.74,
1481
+ "learning_rate": 0.0002573719806763285,
1482
+ "loss": 0.6746,
1483
+ "step": 2310
1484
+ },
1485
+ {
1486
+ "epoch": 0.74,
1487
+ "learning_rate": 0.00025717874396135264,
1488
+ "loss": 0.6951,
1489
+ "step": 2320
1490
+ },
1491
+ {
1492
+ "epoch": 0.75,
1493
+ "learning_rate": 0.0002569855072463768,
1494
+ "loss": 0.6988,
1495
+ "step": 2330
1496
+ },
1497
+ {
1498
+ "epoch": 0.75,
1499
+ "learning_rate": 0.00025679227053140093,
1500
+ "loss": 0.6541,
1501
+ "step": 2340
1502
+ },
1503
+ {
1504
+ "epoch": 0.75,
1505
+ "learning_rate": 0.0002565990338164251,
1506
+ "loss": 0.6366,
1507
+ "step": 2350
1508
+ },
1509
+ {
1510
+ "epoch": 0.76,
1511
+ "learning_rate": 0.00025640579710144927,
1512
+ "loss": 0.7011,
1513
+ "step": 2360
1514
+ },
1515
+ {
1516
+ "epoch": 0.76,
1517
+ "learning_rate": 0.0002562125603864734,
1518
+ "loss": 0.6935,
1519
+ "step": 2370
1520
+ },
1521
+ {
1522
+ "epoch": 0.76,
1523
+ "learning_rate": 0.00025601932367149755,
1524
+ "loss": 0.6931,
1525
+ "step": 2380
1526
+ },
1527
+ {
1528
+ "epoch": 0.76,
1529
+ "learning_rate": 0.0002558260869565217,
1530
+ "loss": 0.7004,
1531
+ "step": 2390
1532
+ },
1533
+ {
1534
+ "epoch": 0.77,
1535
+ "learning_rate": 0.0002556328502415459,
1536
+ "loss": 0.6556,
1537
+ "step": 2400
1538
+ },
1539
+ {
1540
+ "epoch": 0.77,
1541
+ "eval_loss": 0.6892030239105225,
1542
+ "eval_runtime": 391.4843,
1543
+ "eval_samples_per_second": 5.109,
1544
+ "eval_steps_per_second": 0.639,
1545
+ "step": 2400
1546
+ },
1547
+ {
1548
+ "epoch": 0.77,
1549
+ "learning_rate": 0.00025543961352657003,
1550
+ "loss": 0.664,
1551
+ "step": 2410
1552
+ },
1553
+ {
1554
+ "epoch": 0.77,
1555
+ "learning_rate": 0.0002552463768115942,
1556
+ "loss": 0.7162,
1557
+ "step": 2420
1558
+ },
1559
+ {
1560
+ "epoch": 0.78,
1561
+ "learning_rate": 0.0002550531400966183,
1562
+ "loss": 0.646,
1563
+ "step": 2430
1564
+ },
1565
+ {
1566
+ "epoch": 0.78,
1567
+ "learning_rate": 0.0002548599033816425,
1568
+ "loss": 0.6515,
1569
+ "step": 2440
1570
+ },
1571
+ {
1572
+ "epoch": 0.78,
1573
+ "learning_rate": 0.00025466666666666666,
1574
+ "loss": 0.6953,
1575
+ "step": 2450
1576
+ },
1577
+ {
1578
+ "epoch": 0.79,
1579
+ "learning_rate": 0.0002544734299516908,
1580
+ "loss": 0.6887,
1581
+ "step": 2460
1582
+ },
1583
+ {
1584
+ "epoch": 0.79,
1585
+ "learning_rate": 0.00025428019323671494,
1586
+ "loss": 0.6739,
1587
+ "step": 2470
1588
+ },
1589
+ {
1590
+ "epoch": 0.79,
1591
+ "learning_rate": 0.0002540869565217391,
1592
+ "loss": 0.6923,
1593
+ "step": 2480
1594
+ },
1595
+ {
1596
+ "epoch": 0.8,
1597
+ "learning_rate": 0.0002538937198067633,
1598
+ "loss": 0.6877,
1599
+ "step": 2490
1600
+ },
1601
+ {
1602
+ "epoch": 0.8,
1603
+ "learning_rate": 0.0002537004830917874,
1604
+ "loss": 0.6865,
1605
+ "step": 2500
1606
+ },
1607
+ {
1608
+ "epoch": 0.8,
1609
+ "learning_rate": 0.00025350724637681157,
1610
+ "loss": 0.6337,
1611
+ "step": 2510
1612
+ },
1613
+ {
1614
+ "epoch": 0.81,
1615
+ "learning_rate": 0.0002533140096618357,
1616
+ "loss": 0.7073,
1617
+ "step": 2520
1618
+ },
1619
+ {
1620
+ "epoch": 0.81,
1621
+ "learning_rate": 0.0002531207729468599,
1622
+ "loss": 0.6973,
1623
+ "step": 2530
1624
+ },
1625
+ {
1626
+ "epoch": 0.81,
1627
+ "learning_rate": 0.00025292753623188405,
1628
+ "loss": 0.6719,
1629
+ "step": 2540
1630
+ },
1631
+ {
1632
+ "epoch": 0.82,
1633
+ "learning_rate": 0.0002527342995169082,
1634
+ "loss": 0.6674,
1635
+ "step": 2550
1636
+ },
1637
+ {
1638
+ "epoch": 0.82,
1639
+ "learning_rate": 0.00025254106280193234,
1640
+ "loss": 0.6745,
1641
+ "step": 2560
1642
+ },
1643
+ {
1644
+ "epoch": 0.82,
1645
+ "learning_rate": 0.0002523478260869565,
1646
+ "loss": 0.6914,
1647
+ "step": 2570
1648
+ },
1649
+ {
1650
+ "epoch": 0.83,
1651
+ "learning_rate": 0.0002521545893719807,
1652
+ "loss": 0.6382,
1653
+ "step": 2580
1654
+ },
1655
+ {
1656
+ "epoch": 0.83,
1657
+ "learning_rate": 0.0002519613526570048,
1658
+ "loss": 0.6644,
1659
+ "step": 2590
1660
+ },
1661
+ {
1662
+ "epoch": 0.83,
1663
+ "learning_rate": 0.00025176811594202896,
1664
+ "loss": 0.6892,
1665
+ "step": 2600
1666
+ },
1667
+ {
1668
+ "epoch": 0.83,
1669
+ "eval_loss": 0.6873727440834045,
1670
+ "eval_runtime": 390.6367,
1671
+ "eval_samples_per_second": 5.12,
1672
+ "eval_steps_per_second": 0.64,
1673
+ "step": 2600
1674
+ },
1675
+ {
1676
+ "epoch": 0.84,
1677
+ "learning_rate": 0.0002515748792270531,
1678
+ "loss": 0.6592,
1679
+ "step": 2610
1680
+ },
1681
+ {
1682
+ "epoch": 0.84,
1683
+ "learning_rate": 0.0002513816425120773,
1684
+ "loss": 0.6827,
1685
+ "step": 2620
1686
+ },
1687
+ {
1688
+ "epoch": 0.84,
1689
+ "learning_rate": 0.00025118840579710144,
1690
+ "loss": 0.6436,
1691
+ "step": 2630
1692
+ },
1693
+ {
1694
+ "epoch": 0.84,
1695
+ "learning_rate": 0.0002509951690821256,
1696
+ "loss": 0.6969,
1697
+ "step": 2640
1698
+ },
1699
+ {
1700
+ "epoch": 0.85,
1701
+ "learning_rate": 0.0002508019323671497,
1702
+ "loss": 0.6747,
1703
+ "step": 2650
1704
+ },
1705
+ {
1706
+ "epoch": 0.85,
1707
+ "learning_rate": 0.0002506086956521739,
1708
+ "loss": 0.697,
1709
+ "step": 2660
1710
+ },
1711
+ {
1712
+ "epoch": 0.85,
1713
+ "learning_rate": 0.00025041545893719807,
1714
+ "loss": 0.7146,
1715
+ "step": 2670
1716
+ },
1717
+ {
1718
+ "epoch": 0.86,
1719
+ "learning_rate": 0.0002502222222222222,
1720
+ "loss": 0.689,
1721
+ "step": 2680
1722
+ },
1723
+ {
1724
+ "epoch": 0.86,
1725
+ "learning_rate": 0.00025002898550724635,
1726
+ "loss": 0.6957,
1727
+ "step": 2690
1728
+ },
1729
+ {
1730
+ "epoch": 0.86,
1731
+ "learning_rate": 0.0002498357487922705,
1732
+ "loss": 0.708,
1733
+ "step": 2700
1734
+ },
1735
+ {
1736
+ "epoch": 0.87,
1737
+ "learning_rate": 0.0002496425120772947,
1738
+ "loss": 0.7306,
1739
+ "step": 2710
1740
+ },
1741
+ {
1742
+ "epoch": 0.87,
1743
+ "learning_rate": 0.00024944927536231883,
1744
+ "loss": 0.6418,
1745
+ "step": 2720
1746
+ },
1747
+ {
1748
+ "epoch": 0.87,
1749
+ "learning_rate": 0.000249256038647343,
1750
+ "loss": 0.6888,
1751
+ "step": 2730
1752
+ },
1753
+ {
1754
+ "epoch": 0.88,
1755
+ "learning_rate": 0.0002490628019323671,
1756
+ "loss": 0.6573,
1757
+ "step": 2740
1758
+ },
1759
+ {
1760
+ "epoch": 0.88,
1761
+ "learning_rate": 0.0002488695652173913,
1762
+ "loss": 0.7008,
1763
+ "step": 2750
1764
+ },
1765
+ {
1766
+ "epoch": 0.88,
1767
+ "learning_rate": 0.00024867632850241546,
1768
+ "loss": 0.689,
1769
+ "step": 2760
1770
+ },
1771
+ {
1772
+ "epoch": 0.89,
1773
+ "learning_rate": 0.0002484830917874396,
1774
+ "loss": 0.6739,
1775
+ "step": 2770
1776
+ },
1777
+ {
1778
+ "epoch": 0.89,
1779
+ "learning_rate": 0.00024828985507246374,
1780
+ "loss": 0.6867,
1781
+ "step": 2780
1782
+ },
1783
+ {
1784
+ "epoch": 0.89,
1785
+ "learning_rate": 0.0002480966183574879,
1786
+ "loss": 0.6874,
1787
+ "step": 2790
1788
+ },
1789
+ {
1790
+ "epoch": 0.9,
1791
+ "learning_rate": 0.0002479033816425121,
1792
+ "loss": 0.6858,
1793
+ "step": 2800
1794
+ },
1795
+ {
1796
+ "epoch": 0.9,
1797
+ "eval_loss": 0.686144232749939,
1798
+ "eval_runtime": 396.2716,
1799
+ "eval_samples_per_second": 5.047,
1800
+ "eval_steps_per_second": 0.631,
1801
+ "step": 2800
1802
+ },
1803
+ {
1804
+ "epoch": 0.9,
1805
+ "learning_rate": 0.0002477101449275362,
1806
+ "loss": 0.659,
1807
+ "step": 2810
1808
+ },
1809
+ {
1810
+ "epoch": 0.9,
1811
+ "learning_rate": 0.00024751690821256037,
1812
+ "loss": 0.6537,
1813
+ "step": 2820
1814
+ },
1815
+ {
1816
+ "epoch": 0.91,
1817
+ "learning_rate": 0.0002473236714975845,
1818
+ "loss": 0.7331,
1819
+ "step": 2830
1820
+ },
1821
+ {
1822
+ "epoch": 0.91,
1823
+ "learning_rate": 0.0002471304347826087,
1824
+ "loss": 0.6855,
1825
+ "step": 2840
1826
+ },
1827
+ {
1828
+ "epoch": 0.91,
1829
+ "learning_rate": 0.00024693719806763285,
1830
+ "loss": 0.7252,
1831
+ "step": 2850
1832
+ },
1833
+ {
1834
+ "epoch": 0.92,
1835
+ "learning_rate": 0.000246743961352657,
1836
+ "loss": 0.7,
1837
+ "step": 2860
1838
+ },
1839
+ {
1840
+ "epoch": 0.92,
1841
+ "learning_rate": 0.00024655072463768113,
1842
+ "loss": 0.6917,
1843
+ "step": 2870
1844
+ },
1845
+ {
1846
+ "epoch": 0.92,
1847
+ "learning_rate": 0.0002463574879227053,
1848
+ "loss": 0.6828,
1849
+ "step": 2880
1850
+ },
1851
+ {
1852
+ "epoch": 0.92,
1853
+ "learning_rate": 0.0002461642512077295,
1854
+ "loss": 0.6747,
1855
+ "step": 2890
1856
+ },
1857
+ {
1858
+ "epoch": 0.93,
1859
+ "learning_rate": 0.0002459710144927536,
1860
+ "loss": 0.696,
1861
+ "step": 2900
1862
+ },
1863
+ {
1864
+ "epoch": 0.93,
1865
+ "learning_rate": 0.00024577777777777776,
1866
+ "loss": 0.6573,
1867
+ "step": 2910
1868
+ },
1869
+ {
1870
+ "epoch": 0.93,
1871
+ "learning_rate": 0.0002455845410628019,
1872
+ "loss": 0.6811,
1873
+ "step": 2920
1874
+ },
1875
+ {
1876
+ "epoch": 0.94,
1877
+ "learning_rate": 0.0002453913043478261,
1878
+ "loss": 0.6992,
1879
+ "step": 2930
1880
+ },
1881
+ {
1882
+ "epoch": 0.94,
1883
+ "learning_rate": 0.00024519806763285024,
1884
+ "loss": 0.6972,
1885
+ "step": 2940
1886
+ },
1887
+ {
1888
+ "epoch": 0.94,
1889
+ "learning_rate": 0.0002450048309178744,
1890
+ "loss": 0.6685,
1891
+ "step": 2950
1892
+ },
1893
+ {
1894
+ "epoch": 0.95,
1895
+ "learning_rate": 0.0002448115942028985,
1896
+ "loss": 0.6531,
1897
+ "step": 2960
1898
+ },
1899
+ {
1900
+ "epoch": 0.95,
1901
+ "learning_rate": 0.0002446183574879227,
1902
+ "loss": 0.6749,
1903
+ "step": 2970
1904
+ },
1905
+ {
1906
+ "epoch": 0.95,
1907
+ "learning_rate": 0.00024442512077294686,
1908
+ "loss": 0.6811,
1909
+ "step": 2980
1910
+ },
1911
+ {
1912
+ "epoch": 0.96,
1913
+ "learning_rate": 0.000244231884057971,
1914
+ "loss": 0.6904,
1915
+ "step": 2990
1916
+ },
1917
+ {
1918
+ "epoch": 0.96,
1919
+ "learning_rate": 0.00024403864734299515,
1920
+ "loss": 0.6819,
1921
+ "step": 3000
1922
+ },
1923
+ {
1924
+ "epoch": 0.96,
1925
+ "eval_loss": 0.6858677864074707,
1926
+ "eval_runtime": 418.7569,
1927
+ "eval_samples_per_second": 4.776,
1928
+ "eval_steps_per_second": 0.597,
1929
+ "step": 3000
1930
+ },
1931
+ {
1932
+ "epoch": 0.96,
1933
+ "learning_rate": 0.0002438454106280193,
1934
+ "loss": 0.6773,
1935
+ "step": 3010
1936
+ },
1937
+ {
1938
+ "epoch": 0.97,
1939
+ "learning_rate": 0.00024365217391304346,
1940
+ "loss": 0.7034,
1941
+ "step": 3020
1942
+ },
1943
+ {
1944
+ "epoch": 0.97,
1945
+ "learning_rate": 0.0002434589371980676,
1946
+ "loss": 0.6804,
1947
+ "step": 3030
1948
+ },
1949
+ {
1950
+ "epoch": 0.97,
1951
+ "learning_rate": 0.00024326570048309177,
1952
+ "loss": 0.6912,
1953
+ "step": 3040
1954
+ },
1955
+ {
1956
+ "epoch": 0.98,
1957
+ "learning_rate": 0.00024307246376811592,
1958
+ "loss": 0.683,
1959
+ "step": 3050
1960
+ },
1961
+ {
1962
+ "epoch": 0.98,
1963
+ "learning_rate": 0.0002428792270531401,
1964
+ "loss": 0.6767,
1965
+ "step": 3060
1966
+ },
1967
+ {
1968
+ "epoch": 0.98,
1969
+ "learning_rate": 0.00024268599033816423,
1970
+ "loss": 0.6683,
1971
+ "step": 3070
1972
+ },
1973
+ {
1974
+ "epoch": 0.99,
1975
+ "learning_rate": 0.00024249275362318837,
1976
+ "loss": 0.6777,
1977
+ "step": 3080
1978
+ },
1979
+ {
1980
+ "epoch": 0.99,
1981
+ "learning_rate": 0.00024229951690821254,
1982
+ "loss": 0.6813,
1983
+ "step": 3090
1984
+ },
1985
+ {
1986
+ "epoch": 0.99,
1987
+ "learning_rate": 0.00024210628019323668,
1988
+ "loss": 0.6878,
1989
+ "step": 3100
1990
+ },
1991
+ {
1992
+ "epoch": 1.0,
1993
+ "learning_rate": 0.00024191304347826085,
1994
+ "loss": 0.6885,
1995
+ "step": 3110
1996
+ },
1997
+ {
1998
+ "epoch": 1.0,
1999
+ "learning_rate": 0.000241719806763285,
2000
+ "loss": 0.6373,
2001
+ "step": 3120
2002
+ },
2003
+ {
2004
+ "epoch": 1.0,
2005
+ "learning_rate": 0.00024152657004830917,
2006
+ "loss": 0.6982,
2007
+ "step": 3130
2008
+ },
2009
+ {
2010
+ "epoch": 1.0,
2011
+ "learning_rate": 0.0002413333333333333,
2012
+ "loss": 0.6485,
2013
+ "step": 3140
2014
+ },
2015
+ {
2016
+ "epoch": 1.01,
2017
+ "learning_rate": 0.00024114009661835748,
2018
+ "loss": 0.6522,
2019
+ "step": 3150
2020
+ },
2021
+ {
2022
+ "epoch": 1.01,
2023
+ "learning_rate": 0.00024094685990338162,
2024
+ "loss": 0.6092,
2025
+ "step": 3160
2026
+ },
2027
+ {
2028
+ "epoch": 1.01,
2029
+ "learning_rate": 0.00024075362318840576,
2030
+ "loss": 0.6362,
2031
+ "step": 3170
2032
+ },
2033
+ {
2034
+ "epoch": 1.02,
2035
+ "learning_rate": 0.00024056038647342993,
2036
+ "loss": 0.6725,
2037
+ "step": 3180
2038
+ },
2039
+ {
2040
+ "epoch": 1.02,
2041
+ "learning_rate": 0.00024036714975845408,
2042
+ "loss": 0.6718,
2043
+ "step": 3190
2044
+ },
2045
+ {
2046
+ "epoch": 1.02,
2047
+ "learning_rate": 0.00024017391304347825,
2048
+ "loss": 0.6738,
2049
+ "step": 3200
2050
+ },
2051
+ {
2052
+ "epoch": 1.02,
2053
+ "eval_loss": 0.6860418915748596,
2054
+ "eval_runtime": 407.1637,
2055
+ "eval_samples_per_second": 4.912,
2056
+ "eval_steps_per_second": 0.614,
2057
+ "step": 3200
2058
+ },
2059
+ {
2060
+ "epoch": 1.03,
2061
+ "learning_rate": 0.0002399806763285024,
2062
+ "loss": 0.658,
2063
+ "step": 3210
2064
+ },
2065
+ {
2066
+ "epoch": 1.03,
2067
+ "learning_rate": 0.00023978743961352656,
2068
+ "loss": 0.6325,
2069
+ "step": 3220
2070
+ },
2071
+ {
2072
+ "epoch": 1.03,
2073
+ "learning_rate": 0.0002395942028985507,
2074
+ "loss": 0.6372,
2075
+ "step": 3230
2076
+ },
2077
+ {
2078
+ "epoch": 1.04,
2079
+ "learning_rate": 0.00023940096618357487,
2080
+ "loss": 0.6075,
2081
+ "step": 3240
2082
+ },
2083
+ {
2084
+ "epoch": 1.04,
2085
+ "learning_rate": 0.000239207729468599,
2086
+ "loss": 0.6212,
2087
+ "step": 3250
2088
+ },
2089
+ {
2090
+ "epoch": 1.04,
2091
+ "learning_rate": 0.00023901449275362315,
2092
+ "loss": 0.6373,
2093
+ "step": 3260
2094
+ },
2095
+ {
2096
+ "epoch": 1.05,
2097
+ "learning_rate": 0.00023882125603864732,
2098
+ "loss": 0.6799,
2099
+ "step": 3270
2100
+ },
2101
+ {
2102
+ "epoch": 1.05,
2103
+ "learning_rate": 0.0002386280193236715,
2104
+ "loss": 0.6769,
2105
+ "step": 3280
2106
+ },
2107
+ {
2108
+ "epoch": 1.05,
2109
+ "learning_rate": 0.00023843478260869564,
2110
+ "loss": 0.6265,
2111
+ "step": 3290
2112
+ },
2113
+ {
2114
+ "epoch": 1.06,
2115
+ "learning_rate": 0.00023824154589371978,
2116
+ "loss": 0.6627,
2117
+ "step": 3300
2118
+ },
2119
+ {
2120
+ "epoch": 1.06,
2121
+ "learning_rate": 0.00023804830917874392,
2122
+ "loss": 0.6602,
2123
+ "step": 3310
2124
+ },
2125
+ {
2126
+ "epoch": 1.06,
2127
+ "learning_rate": 0.0002378550724637681,
2128
+ "loss": 0.671,
2129
+ "step": 3320
2130
+ },
2131
+ {
2132
+ "epoch": 1.07,
2133
+ "learning_rate": 0.00023766183574879226,
2134
+ "loss": 0.6297,
2135
+ "step": 3330
2136
+ },
2137
+ {
2138
+ "epoch": 1.07,
2139
+ "learning_rate": 0.0002374685990338164,
2140
+ "loss": 0.662,
2141
+ "step": 3340
2142
+ },
2143
+ {
2144
+ "epoch": 1.07,
2145
+ "learning_rate": 0.00023727536231884055,
2146
+ "loss": 0.6224,
2147
+ "step": 3350
2148
+ },
2149
+ {
2150
+ "epoch": 1.08,
2151
+ "learning_rate": 0.00023708212560386472,
2152
+ "loss": 0.6527,
2153
+ "step": 3360
2154
+ },
2155
+ {
2156
+ "epoch": 1.08,
2157
+ "learning_rate": 0.00023688888888888889,
2158
+ "loss": 0.6388,
2159
+ "step": 3370
2160
+ },
2161
+ {
2162
+ "epoch": 1.08,
2163
+ "learning_rate": 0.00023669565217391303,
2164
+ "loss": 0.6626,
2165
+ "step": 3380
2166
+ },
2167
+ {
2168
+ "epoch": 1.08,
2169
+ "learning_rate": 0.00023650241545893717,
2170
+ "loss": 0.6522,
2171
+ "step": 3390
2172
+ },
2173
+ {
2174
+ "epoch": 1.09,
2175
+ "learning_rate": 0.0002363091787439613,
2176
+ "loss": 0.6514,
2177
+ "step": 3400
2178
+ },
2179
+ {
2180
+ "epoch": 1.09,
2181
+ "eval_loss": 0.6873291730880737,
2182
+ "eval_runtime": 392.2057,
2183
+ "eval_samples_per_second": 5.099,
2184
+ "eval_steps_per_second": 0.637,
2185
+ "step": 3400
2186
+ },
2187
+ {
2188
+ "epoch": 1.09,
2189
+ "learning_rate": 0.00023611594202898548,
2190
+ "loss": 0.6147,
2191
+ "step": 3410
2192
+ },
2193
+ {
2194
+ "epoch": 1.09,
2195
+ "learning_rate": 0.00023592270531400965,
2196
+ "loss": 0.6282,
2197
+ "step": 3420
2198
+ },
2199
+ {
2200
+ "epoch": 1.1,
2201
+ "learning_rate": 0.0002357294685990338,
2202
+ "loss": 0.6168,
2203
+ "step": 3430
2204
+ },
2205
+ {
2206
+ "epoch": 1.1,
2207
+ "learning_rate": 0.00023553623188405794,
2208
+ "loss": 0.6858,
2209
+ "step": 3440
2210
+ },
2211
+ {
2212
+ "epoch": 1.1,
2213
+ "learning_rate": 0.00023534299516908208,
2214
+ "loss": 0.6219,
2215
+ "step": 3450
2216
+ },
2217
+ {
2218
+ "epoch": 1.11,
2219
+ "learning_rate": 0.00023514975845410628,
2220
+ "loss": 0.6566,
2221
+ "step": 3460
2222
+ },
2223
+ {
2224
+ "epoch": 1.11,
2225
+ "learning_rate": 0.00023495652173913042,
2226
+ "loss": 0.6633,
2227
+ "step": 3470
2228
+ },
2229
+ {
2230
+ "epoch": 1.11,
2231
+ "learning_rate": 0.00023476328502415456,
2232
+ "loss": 0.6526,
2233
+ "step": 3480
2234
+ },
2235
+ {
2236
+ "epoch": 1.12,
2237
+ "learning_rate": 0.0002345700483091787,
2238
+ "loss": 0.6544,
2239
+ "step": 3490
2240
+ },
2241
+ {
2242
+ "epoch": 1.12,
2243
+ "learning_rate": 0.00023437681159420287,
2244
+ "loss": 0.6588,
2245
+ "step": 3500
2246
+ },
2247
+ {
2248
+ "epoch": 1.12,
2249
+ "learning_rate": 0.00023418357487922704,
2250
+ "loss": 0.6477,
2251
+ "step": 3510
2252
+ },
2253
+ {
2254
+ "epoch": 1.13,
2255
+ "learning_rate": 0.0002339903381642512,
2256
+ "loss": 0.6494,
2257
+ "step": 3520
2258
+ },
2259
+ {
2260
+ "epoch": 1.13,
2261
+ "learning_rate": 0.00023379710144927533,
2262
+ "loss": 0.6219,
2263
+ "step": 3530
2264
+ },
2265
+ {
2266
+ "epoch": 1.13,
2267
+ "learning_rate": 0.00023360386473429947,
2268
+ "loss": 0.6369,
2269
+ "step": 3540
2270
+ },
2271
+ {
2272
+ "epoch": 1.14,
2273
+ "learning_rate": 0.00023341062801932367,
2274
+ "loss": 0.6647,
2275
+ "step": 3550
2276
+ },
2277
+ {
2278
+ "epoch": 1.14,
2279
+ "learning_rate": 0.0002332173913043478,
2280
+ "loss": 0.6477,
2281
+ "step": 3560
2282
+ },
2283
+ {
2284
+ "epoch": 1.14,
2285
+ "learning_rate": 0.00023302415458937195,
2286
+ "loss": 0.6721,
2287
+ "step": 3570
2288
+ },
2289
+ {
2290
+ "epoch": 1.15,
2291
+ "learning_rate": 0.0002328309178743961,
2292
+ "loss": 0.6327,
2293
+ "step": 3580
2294
+ },
2295
+ {
2296
+ "epoch": 1.15,
2297
+ "learning_rate": 0.0002326376811594203,
2298
+ "loss": 0.6668,
2299
+ "step": 3590
2300
+ },
2301
+ {
2302
+ "epoch": 1.15,
2303
+ "learning_rate": 0.00023244444444444444,
2304
+ "loss": 0.6422,
2305
+ "step": 3600
2306
+ },
2307
+ {
2308
+ "epoch": 1.15,
2309
+ "eval_loss": 0.6869779229164124,
2310
+ "eval_runtime": 396.5319,
2311
+ "eval_samples_per_second": 5.044,
2312
+ "eval_steps_per_second": 0.63,
2313
+ "step": 3600
2314
+ },
2315
+ {
2316
+ "epoch": 1.16,
2317
+ "learning_rate": 0.00023225120772946858,
2318
+ "loss": 0.6774,
2319
+ "step": 3610
2320
+ },
2321
+ {
2322
+ "epoch": 1.16,
2323
+ "learning_rate": 0.00023205797101449272,
2324
+ "loss": 0.6663,
2325
+ "step": 3620
2326
+ },
2327
+ {
2328
+ "epoch": 1.16,
2329
+ "learning_rate": 0.00023186473429951686,
2330
+ "loss": 0.6903,
2331
+ "step": 3630
2332
+ },
2333
+ {
2334
+ "epoch": 1.16,
2335
+ "learning_rate": 0.00023167149758454106,
2336
+ "loss": 0.6362,
2337
+ "step": 3640
2338
+ },
2339
+ {
2340
+ "epoch": 1.17,
2341
+ "learning_rate": 0.0002314782608695652,
2342
+ "loss": 0.6187,
2343
+ "step": 3650
2344
+ },
2345
+ {
2346
+ "epoch": 1.17,
2347
+ "learning_rate": 0.00023128502415458935,
2348
+ "loss": 0.6256,
2349
+ "step": 3660
2350
+ },
2351
+ {
2352
+ "epoch": 1.17,
2353
+ "learning_rate": 0.0002310917874396135,
2354
+ "loss": 0.6493,
2355
+ "step": 3670
2356
+ },
2357
+ {
2358
+ "epoch": 1.18,
2359
+ "learning_rate": 0.00023089855072463768,
2360
+ "loss": 0.635,
2361
+ "step": 3680
2362
+ },
2363
+ {
2364
+ "epoch": 1.18,
2365
+ "learning_rate": 0.00023070531400966183,
2366
+ "loss": 0.6973,
2367
+ "step": 3690
2368
+ },
2369
+ {
2370
+ "epoch": 1.18,
2371
+ "learning_rate": 0.00023051207729468597,
2372
+ "loss": 0.6562,
2373
+ "step": 3700
2374
+ },
2375
+ {
2376
+ "epoch": 1.19,
2377
+ "learning_rate": 0.0002303188405797101,
2378
+ "loss": 0.6327,
2379
+ "step": 3710
2380
+ },
2381
+ {
2382
+ "epoch": 1.19,
2383
+ "learning_rate": 0.00023012560386473425,
2384
+ "loss": 0.6736,
2385
+ "step": 3720
2386
+ },
2387
+ {
2388
+ "epoch": 1.19,
2389
+ "learning_rate": 0.00022993236714975845,
2390
+ "loss": 0.6178,
2391
+ "step": 3730
2392
+ },
2393
+ {
2394
+ "epoch": 1.2,
2395
+ "learning_rate": 0.0002297391304347826,
2396
+ "loss": 0.6574,
2397
+ "step": 3740
2398
+ },
2399
+ {
2400
+ "epoch": 1.2,
2401
+ "learning_rate": 0.00022954589371980674,
2402
+ "loss": 0.6848,
2403
+ "step": 3750
2404
+ },
2405
+ {
2406
+ "epoch": 1.2,
2407
+ "learning_rate": 0.00022935265700483088,
2408
+ "loss": 0.6478,
2409
+ "step": 3760
2410
+ },
2411
+ {
2412
+ "epoch": 1.21,
2413
+ "learning_rate": 0.00022915942028985508,
2414
+ "loss": 0.6144,
2415
+ "step": 3770
2416
+ },
2417
+ {
2418
+ "epoch": 1.21,
2419
+ "learning_rate": 0.00022896618357487922,
2420
+ "loss": 0.6609,
2421
+ "step": 3780
2422
+ },
2423
+ {
2424
+ "epoch": 1.21,
2425
+ "learning_rate": 0.00022877294685990336,
2426
+ "loss": 0.6744,
2427
+ "step": 3790
2428
+ },
2429
+ {
2430
+ "epoch": 1.22,
2431
+ "learning_rate": 0.0002285797101449275,
2432
+ "loss": 0.636,
2433
+ "step": 3800
2434
+ },
2435
+ {
2436
+ "epoch": 1.22,
2437
+ "eval_loss": 0.6865532398223877,
2438
+ "eval_runtime": 393.5432,
2439
+ "eval_samples_per_second": 5.082,
2440
+ "eval_steps_per_second": 0.635,
2441
+ "step": 3800
2442
+ },
2443
+ {
2444
+ "epoch": 1.22,
2445
+ "learning_rate": 0.00022838647342995165,
2446
+ "loss": 0.654,
2447
+ "step": 3810
2448
+ },
2449
+ {
2450
+ "epoch": 1.22,
2451
+ "learning_rate": 0.00022819323671497584,
2452
+ "loss": 0.6442,
2453
+ "step": 3820
2454
+ },
2455
+ {
2456
+ "epoch": 1.23,
2457
+ "learning_rate": 0.00022799999999999999,
2458
+ "loss": 0.6835,
2459
+ "step": 3830
2460
+ },
2461
+ {
2462
+ "epoch": 1.23,
2463
+ "learning_rate": 0.00022780676328502413,
2464
+ "loss": 0.6339,
2465
+ "step": 3840
2466
+ },
2467
+ {
2468
+ "epoch": 1.23,
2469
+ "learning_rate": 0.00022761352657004827,
2470
+ "loss": 0.6512,
2471
+ "step": 3850
2472
+ },
2473
+ {
2474
+ "epoch": 1.24,
2475
+ "learning_rate": 0.00022742028985507247,
2476
+ "loss": 0.622,
2477
+ "step": 3860
2478
+ },
2479
+ {
2480
+ "epoch": 1.24,
2481
+ "learning_rate": 0.0002272270531400966,
2482
+ "loss": 0.6802,
2483
+ "step": 3870
2484
+ },
2485
+ {
2486
+ "epoch": 1.24,
2487
+ "learning_rate": 0.00022703381642512075,
2488
+ "loss": 0.6911,
2489
+ "step": 3880
2490
+ },
2491
+ {
2492
+ "epoch": 1.24,
2493
+ "learning_rate": 0.0002268405797101449,
2494
+ "loss": 0.6815,
2495
+ "step": 3890
2496
+ },
2497
+ {
2498
+ "epoch": 1.25,
2499
+ "learning_rate": 0.0002266473429951691,
2500
+ "loss": 0.6569,
2501
+ "step": 3900
2502
+ },
2503
+ {
2504
+ "epoch": 1.25,
2505
+ "learning_rate": 0.00022645410628019323,
2506
+ "loss": 0.6363,
2507
+ "step": 3910
2508
+ },
2509
+ {
2510
+ "epoch": 1.25,
2511
+ "learning_rate": 0.00022626086956521738,
2512
+ "loss": 0.6371,
2513
+ "step": 3920
2514
+ },
2515
+ {
2516
+ "epoch": 1.26,
2517
+ "learning_rate": 0.00022606763285024152,
2518
+ "loss": 0.6458,
2519
+ "step": 3930
2520
+ },
2521
+ {
2522
+ "epoch": 1.26,
2523
+ "learning_rate": 0.00022587439613526566,
2524
+ "loss": 0.668,
2525
+ "step": 3940
2526
+ },
2527
+ {
2528
+ "epoch": 1.26,
2529
+ "learning_rate": 0.00022568115942028986,
2530
+ "loss": 0.6676,
2531
+ "step": 3950
2532
+ },
2533
+ {
2534
+ "epoch": 1.27,
2535
+ "learning_rate": 0.000225487922705314,
2536
+ "loss": 0.6692,
2537
+ "step": 3960
2538
+ },
2539
+ {
2540
+ "epoch": 1.27,
2541
+ "learning_rate": 0.00022529468599033814,
2542
+ "loss": 0.6502,
2543
+ "step": 3970
2544
+ },
2545
+ {
2546
+ "epoch": 1.27,
2547
+ "learning_rate": 0.0002251014492753623,
2548
+ "loss": 0.6387,
2549
+ "step": 3980
2550
+ },
2551
+ {
2552
+ "epoch": 1.28,
2553
+ "learning_rate": 0.00022490821256038646,
2554
+ "loss": 0.6475,
2555
+ "step": 3990
2556
+ },
2557
+ {
2558
+ "epoch": 1.28,
2559
+ "learning_rate": 0.00022471497584541063,
2560
+ "loss": 0.6627,
2561
+ "step": 4000
2562
+ },
2563
+ {
2564
+ "epoch": 1.28,
2565
+ "eval_loss": 0.6856961846351624,
2566
+ "eval_runtime": 387.1458,
2567
+ "eval_samples_per_second": 5.166,
2568
+ "eval_steps_per_second": 0.646,
2569
+ "step": 4000
2570
+ },
2571
+ {
2572
+ "epoch": 1.28,
2573
+ "learning_rate": 0.00022452173913043477,
2574
+ "loss": 0.6346,
2575
+ "step": 4010
2576
+ },
2577
+ {
2578
+ "epoch": 1.29,
2579
+ "learning_rate": 0.0002243285024154589,
2580
+ "loss": 0.6593,
2581
+ "step": 4020
2582
+ },
2583
+ {
2584
+ "epoch": 1.29,
2585
+ "learning_rate": 0.00022413526570048305,
2586
+ "loss": 0.6397,
2587
+ "step": 4030
2588
+ },
2589
+ {
2590
+ "epoch": 1.29,
2591
+ "learning_rate": 0.00022394202898550725,
2592
+ "loss": 0.641,
2593
+ "step": 4040
2594
+ },
2595
+ {
2596
+ "epoch": 1.3,
2597
+ "learning_rate": 0.0002237487922705314,
2598
+ "loss": 0.6766,
2599
+ "step": 4050
2600
+ },
2601
+ {
2602
+ "epoch": 1.3,
2603
+ "learning_rate": 0.00022355555555555554,
2604
+ "loss": 0.6931,
2605
+ "step": 4060
2606
+ },
2607
+ {
2608
+ "epoch": 1.3,
2609
+ "learning_rate": 0.00022336231884057968,
2610
+ "loss": 0.6618,
2611
+ "step": 4070
2612
+ },
2613
+ {
2614
+ "epoch": 1.31,
2615
+ "learning_rate": 0.00022316908212560385,
2616
+ "loss": 0.6655,
2617
+ "step": 4080
2618
+ },
2619
+ {
2620
+ "epoch": 1.31,
2621
+ "learning_rate": 0.00022297584541062802,
2622
+ "loss": 0.647,
2623
+ "step": 4090
2624
+ },
2625
+ {
2626
+ "epoch": 1.31,
2627
+ "learning_rate": 0.00022278260869565216,
2628
+ "loss": 0.6337,
2629
+ "step": 4100
2630
+ },
2631
+ {
2632
+ "epoch": 1.32,
2633
+ "learning_rate": 0.0002225893719806763,
2634
+ "loss": 0.6957,
2635
+ "step": 4110
2636
+ },
2637
+ {
2638
+ "epoch": 1.32,
2639
+ "learning_rate": 0.00022239613526570044,
2640
+ "loss": 0.6435,
2641
+ "step": 4120
2642
+ },
2643
+ {
2644
+ "epoch": 1.32,
2645
+ "learning_rate": 0.00022220289855072464,
2646
+ "loss": 0.6272,
2647
+ "step": 4130
2648
+ },
2649
+ {
2650
+ "epoch": 1.32,
2651
+ "learning_rate": 0.00022200966183574878,
2652
+ "loss": 0.6502,
2653
+ "step": 4140
2654
+ },
2655
+ {
2656
+ "epoch": 1.33,
2657
+ "learning_rate": 0.00022181642512077293,
2658
+ "loss": 0.6514,
2659
+ "step": 4150
2660
+ },
2661
+ {
2662
+ "epoch": 1.33,
2663
+ "learning_rate": 0.00022162318840579707,
2664
+ "loss": 0.6625,
2665
+ "step": 4160
2666
+ },
2667
+ {
2668
+ "epoch": 1.33,
2669
+ "learning_rate": 0.00022142995169082124,
2670
+ "loss": 0.6284,
2671
+ "step": 4170
2672
+ },
2673
+ {
2674
+ "epoch": 1.34,
2675
+ "learning_rate": 0.0002212367149758454,
2676
+ "loss": 0.6503,
2677
+ "step": 4180
2678
+ },
2679
+ {
2680
+ "epoch": 1.34,
2681
+ "learning_rate": 0.00022104347826086955,
2682
+ "loss": 0.6425,
2683
+ "step": 4190
2684
+ },
2685
+ {
2686
+ "epoch": 1.34,
2687
+ "learning_rate": 0.0002208502415458937,
2688
+ "loss": 0.6818,
2689
+ "step": 4200
2690
+ },
2691
+ {
2692
+ "epoch": 1.34,
2693
+ "eval_loss": 0.6859603524208069,
2694
+ "eval_runtime": 382.589,
2695
+ "eval_samples_per_second": 5.228,
2696
+ "eval_steps_per_second": 0.653,
2697
+ "step": 4200
2698
+ },
2699
+ {
2700
+ "epoch": 1.35,
2701
+ "learning_rate": 0.00022065700483091784,
2702
+ "loss": 0.6299,
2703
+ "step": 4210
2704
+ },
2705
+ {
2706
+ "epoch": 1.35,
2707
+ "learning_rate": 0.000220463768115942,
2708
+ "loss": 0.6508,
2709
+ "step": 4220
2710
+ },
2711
+ {
2712
+ "epoch": 1.35,
2713
+ "learning_rate": 0.00022027053140096618,
2714
+ "loss": 0.6572,
2715
+ "step": 4230
2716
+ },
2717
+ {
2718
+ "epoch": 1.36,
2719
+ "learning_rate": 0.00022007729468599032,
2720
+ "loss": 0.6781,
2721
+ "step": 4240
2722
+ },
2723
+ {
2724
+ "epoch": 1.36,
2725
+ "learning_rate": 0.00021988405797101446,
2726
+ "loss": 0.6806,
2727
+ "step": 4250
2728
+ },
2729
+ {
2730
+ "epoch": 1.36,
2731
+ "learning_rate": 0.00021969082125603863,
2732
+ "loss": 0.632,
2733
+ "step": 4260
2734
+ },
2735
+ {
2736
+ "epoch": 1.37,
2737
+ "learning_rate": 0.0002194975845410628,
2738
+ "loss": 0.6631,
2739
+ "step": 4270
2740
+ },
2741
+ {
2742
+ "epoch": 1.37,
2743
+ "learning_rate": 0.00021930434782608694,
2744
+ "loss": 0.6729,
2745
+ "step": 4280
2746
+ },
2747
+ {
2748
+ "epoch": 1.37,
2749
+ "learning_rate": 0.00021911111111111109,
2750
+ "loss": 0.6618,
2751
+ "step": 4290
2752
+ },
2753
+ {
2754
+ "epoch": 1.38,
2755
+ "learning_rate": 0.00021891787439613525,
2756
+ "loss": 0.6132,
2757
+ "step": 4300
2758
+ },
2759
+ {
2760
+ "epoch": 1.38,
2761
+ "learning_rate": 0.0002187246376811594,
2762
+ "loss": 0.6457,
2763
+ "step": 4310
2764
+ },
2765
+ {
2766
+ "epoch": 1.38,
2767
+ "learning_rate": 0.00021853140096618357,
2768
+ "loss": 0.6443,
2769
+ "step": 4320
2770
+ },
2771
+ {
2772
+ "epoch": 1.39,
2773
+ "learning_rate": 0.0002183381642512077,
2774
+ "loss": 0.653,
2775
+ "step": 4330
2776
+ },
2777
+ {
2778
+ "epoch": 1.39,
2779
+ "learning_rate": 0.00021814492753623185,
2780
+ "loss": 0.6706,
2781
+ "step": 4340
2782
+ },
2783
+ {
2784
+ "epoch": 1.39,
2785
+ "learning_rate": 0.00021795169082125602,
2786
+ "loss": 0.6684,
2787
+ "step": 4350
2788
+ },
2789
+ {
2790
+ "epoch": 1.4,
2791
+ "learning_rate": 0.00021775845410628016,
2792
+ "loss": 0.6597,
2793
+ "step": 4360
2794
+ },
2795
+ {
2796
+ "epoch": 1.4,
2797
+ "learning_rate": 0.00021756521739130433,
2798
+ "loss": 0.6478,
2799
+ "step": 4370
2800
+ },
2801
+ {
2802
+ "epoch": 1.4,
2803
+ "learning_rate": 0.00021737198067632848,
2804
+ "loss": 0.6411,
2805
+ "step": 4380
2806
+ },
2807
+ {
2808
+ "epoch": 1.4,
2809
+ "learning_rate": 0.00021717874396135265,
2810
+ "loss": 0.657,
2811
+ "step": 4390
2812
+ },
2813
+ {
2814
+ "epoch": 1.41,
2815
+ "learning_rate": 0.0002169855072463768,
2816
+ "loss": 0.663,
2817
+ "step": 4400
2818
+ },
2819
+ {
2820
+ "epoch": 1.41,
2821
+ "eval_loss": 0.6874400973320007,
2822
+ "eval_runtime": 387.4088,
2823
+ "eval_samples_per_second": 5.163,
2824
+ "eval_steps_per_second": 0.645,
2825
+ "step": 4400
2826
+ },
2827
+ {
2828
+ "epoch": 1.41,
2829
+ "learning_rate": 0.00021679227053140096,
2830
+ "loss": 0.6833,
2831
+ "step": 4410
2832
+ },
2833
+ {
2834
+ "epoch": 1.41,
2835
+ "learning_rate": 0.0002165990338164251,
2836
+ "loss": 0.6827,
2837
+ "step": 4420
2838
+ },
2839
+ {
2840
+ "epoch": 1.42,
2841
+ "learning_rate": 0.00021640579710144924,
2842
+ "loss": 0.6789,
2843
+ "step": 4430
2844
+ },
2845
+ {
2846
+ "epoch": 1.42,
2847
+ "learning_rate": 0.0002162125603864734,
2848
+ "loss": 0.6582,
2849
+ "step": 4440
2850
+ },
2851
+ {
2852
+ "epoch": 1.42,
2853
+ "learning_rate": 0.00021601932367149756,
2854
+ "loss": 0.6222,
2855
+ "step": 4450
2856
+ },
2857
+ {
2858
+ "epoch": 1.43,
2859
+ "learning_rate": 0.00021582608695652173,
2860
+ "loss": 0.6314,
2861
+ "step": 4460
2862
+ },
2863
+ {
2864
+ "epoch": 1.43,
2865
+ "learning_rate": 0.00021563285024154587,
2866
+ "loss": 0.6466,
2867
+ "step": 4470
2868
+ },
2869
+ {
2870
+ "epoch": 1.43,
2871
+ "learning_rate": 0.00021543961352657004,
2872
+ "loss": 0.6734,
2873
+ "step": 4480
2874
+ },
2875
+ {
2876
+ "epoch": 1.44,
2877
+ "learning_rate": 0.00021524637681159418,
2878
+ "loss": 0.6552,
2879
+ "step": 4490
2880
+ },
2881
+ {
2882
+ "epoch": 1.44,
2883
+ "learning_rate": 0.00021505314009661835,
2884
+ "loss": 0.7156,
2885
+ "step": 4500
2886
+ },
2887
+ {
2888
+ "epoch": 1.44,
2889
+ "learning_rate": 0.0002148599033816425,
2890
+ "loss": 0.6548,
2891
+ "step": 4510
2892
+ },
2893
+ {
2894
+ "epoch": 1.45,
2895
+ "learning_rate": 0.00021466666666666664,
2896
+ "loss": 0.7265,
2897
+ "step": 4520
2898
+ },
2899
+ {
2900
+ "epoch": 1.45,
2901
+ "learning_rate": 0.0002144734299516908,
2902
+ "loss": 0.6757,
2903
+ "step": 4530
2904
+ },
2905
+ {
2906
+ "epoch": 1.45,
2907
+ "learning_rate": 0.00021428019323671495,
2908
+ "loss": 0.6914,
2909
+ "step": 4540
2910
+ },
2911
+ {
2912
+ "epoch": 1.46,
2913
+ "learning_rate": 0.00021408695652173912,
2914
+ "loss": 0.6746,
2915
+ "step": 4550
2916
+ },
2917
+ {
2918
+ "epoch": 1.46,
2919
+ "learning_rate": 0.00021389371980676326,
2920
+ "loss": 0.7085,
2921
+ "step": 4560
2922
+ },
2923
+ {
2924
+ "epoch": 1.46,
2925
+ "learning_rate": 0.00021370048309178743,
2926
+ "loss": 0.7058,
2927
+ "step": 4570
2928
+ },
2929
+ {
2930
+ "epoch": 1.47,
2931
+ "learning_rate": 0.00021350724637681157,
2932
+ "loss": 0.6599,
2933
+ "step": 4580
2934
+ },
2935
+ {
2936
+ "epoch": 1.47,
2937
+ "learning_rate": 0.00021331400966183571,
2938
+ "loss": 0.6653,
2939
+ "step": 4590
2940
+ },
2941
+ {
2942
+ "epoch": 1.47,
2943
+ "learning_rate": 0.00021312077294685988,
2944
+ "loss": 0.6757,
2945
+ "step": 4600
2946
+ },
2947
+ {
2948
+ "epoch": 1.47,
2949
+ "eval_loss": 0.6850671172142029,
2950
+ "eval_runtime": 410.1023,
2951
+ "eval_samples_per_second": 4.877,
2952
+ "eval_steps_per_second": 0.61,
2953
+ "step": 4600
2954
+ },
2955
+ {
2956
+ "epoch": 1.48,
2957
+ "learning_rate": 0.00021292753623188405,
2958
+ "loss": 0.6644,
2959
+ "step": 4610
2960
+ },
2961
+ {
2962
+ "epoch": 1.48,
2963
+ "learning_rate": 0.0002127342995169082,
2964
+ "loss": 0.6444,
2965
+ "step": 4620
2966
+ },
2967
+ {
2968
+ "epoch": 1.48,
2969
+ "learning_rate": 0.00021254106280193234,
2970
+ "loss": 0.6548,
2971
+ "step": 4630
2972
+ },
2973
+ {
2974
+ "epoch": 1.48,
2975
+ "learning_rate": 0.0002123478260869565,
2976
+ "loss": 0.6361,
2977
+ "step": 4640
2978
+ },
2979
+ {
2980
+ "epoch": 1.49,
2981
+ "learning_rate": 0.00021215458937198065,
2982
+ "loss": 0.6726,
2983
+ "step": 4650
2984
+ },
2985
+ {
2986
+ "epoch": 1.49,
2987
+ "learning_rate": 0.00021196135265700482,
2988
+ "loss": 0.6451,
2989
+ "step": 4660
2990
+ },
2991
+ {
2992
+ "epoch": 1.49,
2993
+ "learning_rate": 0.00021176811594202896,
2994
+ "loss": 0.6939,
2995
+ "step": 4670
2996
+ },
2997
+ {
2998
+ "epoch": 1.5,
2999
+ "learning_rate": 0.0002115748792270531,
3000
+ "loss": 0.6569,
3001
+ "step": 4680
3002
+ },
3003
+ {
3004
+ "epoch": 1.5,
3005
+ "learning_rate": 0.00021138164251207728,
3006
+ "loss": 0.6405,
3007
+ "step": 4690
3008
+ },
3009
+ {
3010
+ "epoch": 1.5,
3011
+ "learning_rate": 0.00021118840579710145,
3012
+ "loss": 0.6261,
3013
+ "step": 4700
3014
+ },
3015
+ {
3016
+ "epoch": 1.51,
3017
+ "learning_rate": 0.0002109951690821256,
3018
+ "loss": 0.6544,
3019
+ "step": 4710
3020
+ },
3021
+ {
3022
+ "epoch": 1.51,
3023
+ "learning_rate": 0.00021080193236714973,
3024
+ "loss": 0.6367,
3025
+ "step": 4720
3026
+ },
3027
+ {
3028
+ "epoch": 1.51,
3029
+ "learning_rate": 0.0002106086956521739,
3030
+ "loss": 0.6691,
3031
+ "step": 4730
3032
+ },
3033
+ {
3034
+ "epoch": 1.52,
3035
+ "learning_rate": 0.00021041545893719804,
3036
+ "loss": 0.6228,
3037
+ "step": 4740
3038
+ },
3039
+ {
3040
+ "epoch": 1.52,
3041
+ "learning_rate": 0.0002102222222222222,
3042
+ "loss": 0.6628,
3043
+ "step": 4750
3044
+ },
3045
+ {
3046
+ "epoch": 1.52,
3047
+ "learning_rate": 0.00021002898550724635,
3048
+ "loss": 0.6678,
3049
+ "step": 4760
3050
+ },
3051
+ {
3052
+ "epoch": 1.53,
3053
+ "learning_rate": 0.0002098357487922705,
3054
+ "loss": 0.6699,
3055
+ "step": 4770
3056
+ },
3057
+ {
3058
+ "epoch": 1.53,
3059
+ "learning_rate": 0.00020964251207729467,
3060
+ "loss": 0.683,
3061
+ "step": 4780
3062
+ },
3063
+ {
3064
+ "epoch": 1.53,
3065
+ "learning_rate": 0.00020944927536231884,
3066
+ "loss": 0.688,
3067
+ "step": 4790
3068
+ },
3069
+ {
3070
+ "epoch": 1.54,
3071
+ "learning_rate": 0.00020925603864734298,
3072
+ "loss": 0.6661,
3073
+ "step": 4800
3074
+ },
3075
+ {
3076
+ "epoch": 1.54,
3077
+ "eval_loss": 0.6855675578117371,
3078
+ "eval_runtime": 385.7747,
3079
+ "eval_samples_per_second": 5.184,
3080
+ "eval_steps_per_second": 0.648,
3081
+ "step": 4800
3082
+ },
3083
+ {
3084
+ "epoch": 1.54,
3085
+ "learning_rate": 0.00020906280193236712,
3086
+ "loss": 0.6605,
3087
+ "step": 4810
3088
+ },
3089
+ {
3090
+ "epoch": 1.54,
3091
+ "learning_rate": 0.00020886956521739126,
3092
+ "loss": 0.7119,
3093
+ "step": 4820
3094
+ },
3095
+ {
3096
+ "epoch": 1.55,
3097
+ "learning_rate": 0.00020867632850241543,
3098
+ "loss": 0.6181,
3099
+ "step": 4830
3100
+ },
3101
+ {
3102
+ "epoch": 1.55,
3103
+ "learning_rate": 0.0002084830917874396,
3104
+ "loss": 0.6484,
3105
+ "step": 4840
3106
+ },
3107
+ {
3108
+ "epoch": 1.55,
3109
+ "learning_rate": 0.00020828985507246375,
3110
+ "loss": 0.6747,
3111
+ "step": 4850
3112
+ },
3113
+ {
3114
+ "epoch": 1.56,
3115
+ "learning_rate": 0.0002080966183574879,
3116
+ "loss": 0.6455,
3117
+ "step": 4860
3118
+ },
3119
+ {
3120
+ "epoch": 1.56,
3121
+ "learning_rate": 0.00020790338164251206,
3122
+ "loss": 0.6591,
3123
+ "step": 4870
3124
+ },
3125
+ {
3126
+ "epoch": 1.56,
3127
+ "learning_rate": 0.00020771014492753623,
3128
+ "loss": 0.6898,
3129
+ "step": 4880
3130
+ },
3131
+ {
3132
+ "epoch": 1.56,
3133
+ "learning_rate": 0.00020751690821256037,
3134
+ "loss": 0.6491,
3135
+ "step": 4890
3136
+ },
3137
+ {
3138
+ "epoch": 1.57,
3139
+ "learning_rate": 0.0002073236714975845,
3140
+ "loss": 0.66,
3141
+ "step": 4900
3142
+ },
3143
+ {
3144
+ "epoch": 1.57,
3145
+ "learning_rate": 0.00020713043478260866,
3146
+ "loss": 0.6423,
3147
+ "step": 4910
3148
+ },
3149
+ {
3150
+ "epoch": 1.57,
3151
+ "learning_rate": 0.00020693719806763285,
3152
+ "loss": 0.6102,
3153
+ "step": 4920
3154
+ },
3155
+ {
3156
+ "epoch": 1.58,
3157
+ "learning_rate": 0.000206743961352657,
3158
+ "loss": 0.6709,
3159
+ "step": 4930
3160
+ },
3161
+ {
3162
+ "epoch": 1.58,
3163
+ "learning_rate": 0.00020655072463768114,
3164
+ "loss": 0.6432,
3165
+ "step": 4940
3166
+ },
3167
+ {
3168
+ "epoch": 1.58,
3169
+ "learning_rate": 0.00020635748792270528,
3170
+ "loss": 0.6388,
3171
+ "step": 4950
3172
+ },
3173
+ {
3174
+ "epoch": 1.59,
3175
+ "learning_rate": 0.00020616425120772942,
3176
+ "loss": 0.6574,
3177
+ "step": 4960
3178
+ },
3179
+ {
3180
+ "epoch": 1.59,
3181
+ "learning_rate": 0.00020597101449275362,
3182
+ "loss": 0.6687,
3183
+ "step": 4970
3184
+ },
3185
+ {
3186
+ "epoch": 1.59,
3187
+ "learning_rate": 0.00020577777777777776,
3188
+ "loss": 0.674,
3189
+ "step": 4980
3190
+ },
3191
+ {
3192
+ "epoch": 1.6,
3193
+ "learning_rate": 0.0002055845410628019,
3194
+ "loss": 0.618,
3195
+ "step": 4990
3196
+ },
3197
+ {
3198
+ "epoch": 1.6,
3199
+ "learning_rate": 0.00020539130434782605,
3200
+ "loss": 0.689,
3201
+ "step": 5000
3202
+ },
3203
+ {
3204
+ "epoch": 1.6,
3205
+ "eval_loss": 0.6850703358650208,
3206
+ "eval_runtime": 372.4881,
3207
+ "eval_samples_per_second": 5.369,
3208
+ "eval_steps_per_second": 0.671,
3209
+ "step": 5000
3210
+ },
3211
+ {
3212
+ "epoch": 1.6,
3213
+ "learning_rate": 0.00020519806763285024,
3214
+ "loss": 0.6865,
3215
+ "step": 5010
3216
+ },
3217
+ {
3218
+ "epoch": 1.61,
3219
+ "learning_rate": 0.0002050048309178744,
3220
+ "loss": 0.6529,
3221
+ "step": 5020
3222
+ },
3223
+ {
3224
+ "epoch": 1.61,
3225
+ "learning_rate": 0.00020481159420289853,
3226
+ "loss": 0.6495,
3227
+ "step": 5030
3228
+ },
3229
+ {
3230
+ "epoch": 1.61,
3231
+ "learning_rate": 0.00020461835748792267,
3232
+ "loss": 0.6517,
3233
+ "step": 5040
3234
+ },
3235
+ {
3236
+ "epoch": 1.62,
3237
+ "learning_rate": 0.00020442512077294681,
3238
+ "loss": 0.6684,
3239
+ "step": 5050
3240
+ },
3241
+ {
3242
+ "epoch": 1.62,
3243
+ "learning_rate": 0.000204231884057971,
3244
+ "loss": 0.6412,
3245
+ "step": 5060
3246
+ },
3247
+ {
3248
+ "epoch": 1.62,
3249
+ "learning_rate": 0.00020403864734299515,
3250
+ "loss": 0.6463,
3251
+ "step": 5070
3252
+ },
3253
+ {
3254
+ "epoch": 1.63,
3255
+ "learning_rate": 0.0002038454106280193,
3256
+ "loss": 0.633,
3257
+ "step": 5080
3258
+ },
3259
+ {
3260
+ "epoch": 1.63,
3261
+ "learning_rate": 0.00020365217391304344,
3262
+ "loss": 0.6473,
3263
+ "step": 5090
3264
+ },
3265
+ {
3266
+ "epoch": 1.63,
3267
+ "learning_rate": 0.00020345893719806764,
3268
+ "loss": 0.6102,
3269
+ "step": 5100
3270
+ },
3271
+ {
3272
+ "epoch": 1.64,
3273
+ "learning_rate": 0.00020326570048309178,
3274
+ "loss": 0.6816,
3275
+ "step": 5110
3276
+ },
3277
+ {
3278
+ "epoch": 1.64,
3279
+ "learning_rate": 0.00020307246376811592,
3280
+ "loss": 0.6743,
3281
+ "step": 5120
3282
+ },
3283
+ {
3284
+ "epoch": 1.64,
3285
+ "learning_rate": 0.00020287922705314006,
3286
+ "loss": 0.6745,
3287
+ "step": 5130
3288
+ },
3289
+ {
3290
+ "epoch": 1.64,
3291
+ "learning_rate": 0.0002026859903381642,
3292
+ "loss": 0.6435,
3293
+ "step": 5140
3294
+ },
3295
+ {
3296
+ "epoch": 1.65,
3297
+ "learning_rate": 0.0002024927536231884,
3298
+ "loss": 0.6675,
3299
+ "step": 5150
3300
+ },
3301
+ {
3302
+ "epoch": 1.65,
3303
+ "learning_rate": 0.00020229951690821255,
3304
+ "loss": 0.6547,
3305
+ "step": 5160
3306
+ },
3307
+ {
3308
+ "epoch": 1.65,
3309
+ "learning_rate": 0.0002021062801932367,
3310
+ "loss": 0.6464,
3311
+ "step": 5170
3312
+ },
3313
+ {
3314
+ "epoch": 1.66,
3315
+ "learning_rate": 0.00020191304347826083,
3316
+ "loss": 0.6894,
3317
+ "step": 5180
3318
+ },
3319
+ {
3320
+ "epoch": 1.66,
3321
+ "learning_rate": 0.00020171980676328503,
3322
+ "loss": 0.6613,
3323
+ "step": 5190
3324
+ },
3325
+ {
3326
+ "epoch": 1.66,
3327
+ "learning_rate": 0.00020152657004830917,
3328
+ "loss": 0.6362,
3329
+ "step": 5200
3330
+ },
3331
+ {
3332
+ "epoch": 1.66,
3333
+ "eval_loss": 0.6850407719612122,
3334
+ "eval_runtime": 377.0156,
3335
+ "eval_samples_per_second": 5.305,
3336
+ "eval_steps_per_second": 0.663,
3337
+ "step": 5200
3338
+ },
3339
+ {
3340
+ "epoch": 1.67,
3341
+ "learning_rate": 0.0002013333333333333,
3342
+ "loss": 0.636,
3343
+ "step": 5210
3344
+ },
3345
+ {
3346
+ "epoch": 1.67,
3347
+ "learning_rate": 0.00020114009661835745,
3348
+ "loss": 0.6731,
3349
+ "step": 5220
3350
+ },
3351
+ {
3352
+ "epoch": 1.67,
3353
+ "learning_rate": 0.00020094685990338165,
3354
+ "loss": 0.6429,
3355
+ "step": 5230
3356
+ },
3357
+ {
3358
+ "epoch": 1.68,
3359
+ "learning_rate": 0.0002007536231884058,
3360
+ "loss": 0.6808,
3361
+ "step": 5240
3362
+ },
3363
+ {
3364
+ "epoch": 1.68,
3365
+ "learning_rate": 0.00020056038647342994,
3366
+ "loss": 0.6728,
3367
+ "step": 5250
3368
+ },
3369
+ {
3370
+ "epoch": 1.68,
3371
+ "learning_rate": 0.00020036714975845408,
3372
+ "loss": 0.6377,
3373
+ "step": 5260
3374
+ },
3375
+ {
3376
+ "epoch": 1.69,
3377
+ "learning_rate": 0.00020017391304347822,
3378
+ "loss": 0.6616,
3379
+ "step": 5270
3380
+ },
3381
+ {
3382
+ "epoch": 1.69,
3383
+ "learning_rate": 0.00019998067632850242,
3384
+ "loss": 0.6571,
3385
+ "step": 5280
3386
+ },
3387
+ {
3388
+ "epoch": 1.69,
3389
+ "learning_rate": 0.00019978743961352656,
3390
+ "loss": 0.6765,
3391
+ "step": 5290
3392
+ },
3393
+ {
3394
+ "epoch": 1.7,
3395
+ "learning_rate": 0.0001995942028985507,
3396
+ "loss": 0.6636,
3397
+ "step": 5300
3398
+ },
3399
+ {
3400
+ "epoch": 1.7,
3401
+ "learning_rate": 0.00019940096618357485,
3402
+ "loss": 0.6621,
3403
+ "step": 5310
3404
+ },
3405
+ {
3406
+ "epoch": 1.7,
3407
+ "learning_rate": 0.00019920772946859904,
3408
+ "loss": 0.6788,
3409
+ "step": 5320
3410
+ },
3411
+ {
3412
+ "epoch": 1.71,
3413
+ "learning_rate": 0.00019901449275362319,
3414
+ "loss": 0.6491,
3415
+ "step": 5330
3416
+ },
3417
+ {
3418
+ "epoch": 1.71,
3419
+ "learning_rate": 0.00019882125603864733,
3420
+ "loss": 0.6413,
3421
+ "step": 5340
3422
+ },
3423
+ {
3424
+ "epoch": 1.71,
3425
+ "learning_rate": 0.00019862801932367147,
3426
+ "loss": 0.6287,
3427
+ "step": 5350
3428
+ },
3429
+ {
3430
+ "epoch": 1.72,
3431
+ "learning_rate": 0.0001984347826086956,
3432
+ "loss": 0.6624,
3433
+ "step": 5360
3434
+ },
3435
+ {
3436
+ "epoch": 1.72,
3437
+ "learning_rate": 0.0001982415458937198,
3438
+ "loss": 0.6657,
3439
+ "step": 5370
3440
+ },
3441
+ {
3442
+ "epoch": 1.72,
3443
+ "learning_rate": 0.00019804830917874395,
3444
+ "loss": 0.6617,
3445
+ "step": 5380
3446
+ },
3447
+ {
3448
+ "epoch": 1.72,
3449
+ "learning_rate": 0.0001978550724637681,
3450
+ "loss": 0.6791,
3451
+ "step": 5390
3452
+ },
3453
+ {
3454
+ "epoch": 1.73,
3455
+ "learning_rate": 0.00019766183574879224,
3456
+ "loss": 0.6537,
3457
+ "step": 5400
3458
+ },
3459
+ {
3460
+ "epoch": 1.73,
3461
+ "eval_loss": 0.683772623538971,
3462
+ "eval_runtime": 380.6447,
3463
+ "eval_samples_per_second": 5.254,
3464
+ "eval_steps_per_second": 0.657,
3465
+ "step": 5400
3466
+ },
3467
+ {
3468
+ "epoch": 1.73,
3469
+ "learning_rate": 0.00019746859903381643,
3470
+ "loss": 0.5705,
3471
+ "step": 5410
3472
+ },
3473
+ {
3474
+ "epoch": 1.73,
3475
+ "learning_rate": 0.00019727536231884058,
3476
+ "loss": 0.634,
3477
+ "step": 5420
3478
+ },
3479
+ {
3480
+ "epoch": 1.74,
3481
+ "learning_rate": 0.00019708212560386472,
3482
+ "loss": 0.6558,
3483
+ "step": 5430
3484
+ },
3485
+ {
3486
+ "epoch": 1.74,
3487
+ "learning_rate": 0.00019688888888888886,
3488
+ "loss": 0.657,
3489
+ "step": 5440
3490
+ },
3491
+ {
3492
+ "epoch": 1.74,
3493
+ "learning_rate": 0.000196695652173913,
3494
+ "loss": 0.6615,
3495
+ "step": 5450
3496
+ },
3497
+ {
3498
+ "epoch": 1.75,
3499
+ "learning_rate": 0.0001965024154589372,
3500
+ "loss": 0.6656,
3501
+ "step": 5460
3502
+ },
3503
+ {
3504
+ "epoch": 1.75,
3505
+ "learning_rate": 0.00019630917874396134,
3506
+ "loss": 0.6286,
3507
+ "step": 5470
3508
+ },
3509
+ {
3510
+ "epoch": 1.75,
3511
+ "learning_rate": 0.0001961159420289855,
3512
+ "loss": 0.657,
3513
+ "step": 5480
3514
+ },
3515
+ {
3516
+ "epoch": 1.76,
3517
+ "learning_rate": 0.00019592270531400963,
3518
+ "loss": 0.6891,
3519
+ "step": 5490
3520
+ },
3521
+ {
3522
+ "epoch": 1.76,
3523
+ "learning_rate": 0.0001957294685990338,
3524
+ "loss": 0.6539,
3525
+ "step": 5500
3526
+ },
3527
+ {
3528
+ "epoch": 1.76,
3529
+ "learning_rate": 0.00019553623188405797,
3530
+ "loss": 0.6335,
3531
+ "step": 5510
3532
+ },
3533
+ {
3534
+ "epoch": 1.77,
3535
+ "learning_rate": 0.0001953429951690821,
3536
+ "loss": 0.6625,
3537
+ "step": 5520
3538
+ },
3539
+ {
3540
+ "epoch": 1.77,
3541
+ "learning_rate": 0.00019514975845410625,
3542
+ "loss": 0.6597,
3543
+ "step": 5530
3544
+ },
3545
+ {
3546
+ "epoch": 1.77,
3547
+ "learning_rate": 0.00019495652173913042,
3548
+ "loss": 0.6753,
3549
+ "step": 5540
3550
+ },
3551
+ {
3552
+ "epoch": 1.78,
3553
+ "learning_rate": 0.0001947632850241546,
3554
+ "loss": 0.6644,
3555
+ "step": 5550
3556
+ },
3557
+ {
3558
+ "epoch": 1.78,
3559
+ "learning_rate": 0.00019457004830917874,
3560
+ "loss": 0.6434,
3561
+ "step": 5560
3562
+ },
3563
+ {
3564
+ "epoch": 1.78,
3565
+ "learning_rate": 0.00019437681159420288,
3566
+ "loss": 0.6604,
3567
+ "step": 5570
3568
+ },
3569
+ {
3570
+ "epoch": 1.79,
3571
+ "learning_rate": 0.00019418357487922702,
3572
+ "loss": 0.6538,
3573
+ "step": 5580
3574
+ },
3575
+ {
3576
+ "epoch": 1.79,
3577
+ "learning_rate": 0.0001939903381642512,
3578
+ "loss": 0.639,
3579
+ "step": 5590
3580
+ },
3581
+ {
3582
+ "epoch": 1.79,
3583
+ "learning_rate": 0.00019379710144927536,
3584
+ "loss": 0.6668,
3585
+ "step": 5600
3586
+ },
3587
+ {
3588
+ "epoch": 1.79,
3589
+ "eval_loss": 0.6843588352203369,
3590
+ "eval_runtime": 378.4765,
3591
+ "eval_samples_per_second": 5.284,
3592
+ "eval_steps_per_second": 0.661,
3593
+ "step": 5600
3594
+ },
3595
+ {
3596
+ "epoch": 1.8,
3597
+ "learning_rate": 0.0001936038647342995,
3598
+ "loss": 0.6375,
3599
+ "step": 5610
3600
+ },
3601
+ {
3602
+ "epoch": 1.8,
3603
+ "learning_rate": 0.00019341062801932364,
3604
+ "loss": 0.6455,
3605
+ "step": 5620
3606
+ },
3607
+ {
3608
+ "epoch": 1.8,
3609
+ "learning_rate": 0.00019321739130434781,
3610
+ "loss": 0.6856,
3611
+ "step": 5630
3612
+ },
3613
+ {
3614
+ "epoch": 1.8,
3615
+ "learning_rate": 0.00019302415458937198,
3616
+ "loss": 0.648,
3617
+ "step": 5640
3618
+ },
3619
+ {
3620
+ "epoch": 1.81,
3621
+ "learning_rate": 0.00019283091787439613,
3622
+ "loss": 0.6005,
3623
+ "step": 5650
3624
+ },
3625
+ {
3626
+ "epoch": 1.81,
3627
+ "learning_rate": 0.00019263768115942027,
3628
+ "loss": 0.6719,
3629
+ "step": 5660
3630
+ },
3631
+ {
3632
+ "epoch": 1.81,
3633
+ "learning_rate": 0.0001924444444444444,
3634
+ "loss": 0.6588,
3635
+ "step": 5670
3636
+ },
3637
+ {
3638
+ "epoch": 1.82,
3639
+ "learning_rate": 0.00019225120772946858,
3640
+ "loss": 0.6517,
3641
+ "step": 5680
3642
+ },
3643
+ {
3644
+ "epoch": 1.82,
3645
+ "learning_rate": 0.00019205797101449275,
3646
+ "loss": 0.6489,
3647
+ "step": 5690
3648
+ },
3649
+ {
3650
+ "epoch": 1.82,
3651
+ "learning_rate": 0.0001918647342995169,
3652
+ "loss": 0.6283,
3653
+ "step": 5700
3654
+ },
3655
+ {
3656
+ "epoch": 1.83,
3657
+ "learning_rate": 0.00019167149758454104,
3658
+ "loss": 0.6523,
3659
+ "step": 5710
3660
+ },
3661
+ {
3662
+ "epoch": 1.83,
3663
+ "learning_rate": 0.0001914782608695652,
3664
+ "loss": 0.5914,
3665
+ "step": 5720
3666
+ },
3667
+ {
3668
+ "epoch": 1.83,
3669
+ "learning_rate": 0.00019128502415458935,
3670
+ "loss": 0.6403,
3671
+ "step": 5730
3672
+ },
3673
+ {
3674
+ "epoch": 1.84,
3675
+ "learning_rate": 0.00019109178743961352,
3676
+ "loss": 0.6426,
3677
+ "step": 5740
3678
+ },
3679
+ {
3680
+ "epoch": 1.84,
3681
+ "learning_rate": 0.00019089855072463766,
3682
+ "loss": 0.6609,
3683
+ "step": 5750
3684
+ },
3685
+ {
3686
+ "epoch": 1.84,
3687
+ "learning_rate": 0.0001907053140096618,
3688
+ "loss": 0.6394,
3689
+ "step": 5760
3690
+ },
3691
+ {
3692
+ "epoch": 1.85,
3693
+ "learning_rate": 0.00019051207729468597,
3694
+ "loss": 0.6546,
3695
+ "step": 5770
3696
+ },
3697
+ {
3698
+ "epoch": 1.85,
3699
+ "learning_rate": 0.00019031884057971014,
3700
+ "loss": 0.6879,
3701
+ "step": 5780
3702
+ },
3703
+ {
3704
+ "epoch": 1.85,
3705
+ "learning_rate": 0.00019012560386473429,
3706
+ "loss": 0.6116,
3707
+ "step": 5790
3708
+ },
3709
+ {
3710
+ "epoch": 1.86,
3711
+ "learning_rate": 0.00018993236714975843,
3712
+ "loss": 0.6477,
3713
+ "step": 5800
3714
+ },
3715
+ {
3716
+ "epoch": 1.86,
3717
+ "eval_loss": 0.6840969920158386,
3718
+ "eval_runtime": 385.7288,
3719
+ "eval_samples_per_second": 5.185,
3720
+ "eval_steps_per_second": 0.648,
3721
+ "step": 5800
3722
+ },
3723
+ {
3724
+ "epoch": 1.86,
3725
+ "learning_rate": 0.0001897391304347826,
3726
+ "loss": 0.6657,
3727
+ "step": 5810
3728
+ },
3729
+ {
3730
+ "epoch": 1.86,
3731
+ "learning_rate": 0.00018954589371980674,
3732
+ "loss": 0.6399,
3733
+ "step": 5820
3734
+ },
3735
+ {
3736
+ "epoch": 1.87,
3737
+ "learning_rate": 0.0001893526570048309,
3738
+ "loss": 0.6587,
3739
+ "step": 5830
3740
+ },
3741
+ {
3742
+ "epoch": 1.87,
3743
+ "learning_rate": 0.00018915942028985505,
3744
+ "loss": 0.6333,
3745
+ "step": 5840
3746
+ },
3747
+ {
3748
+ "epoch": 1.87,
3749
+ "learning_rate": 0.00018896618357487922,
3750
+ "loss": 0.6327,
3751
+ "step": 5850
3752
+ },
3753
+ {
3754
+ "epoch": 1.88,
3755
+ "learning_rate": 0.00018877294685990336,
3756
+ "loss": 0.6788,
3757
+ "step": 5860
3758
+ },
3759
+ {
3760
+ "epoch": 1.88,
3761
+ "learning_rate": 0.0001885797101449275,
3762
+ "loss": 0.6765,
3763
+ "step": 5870
3764
+ },
3765
+ {
3766
+ "epoch": 1.88,
3767
+ "learning_rate": 0.00018838647342995168,
3768
+ "loss": 0.6742,
3769
+ "step": 5880
3770
+ },
3771
+ {
3772
+ "epoch": 1.88,
3773
+ "learning_rate": 0.00018819323671497582,
3774
+ "loss": 0.6462,
3775
+ "step": 5890
3776
+ },
3777
+ {
3778
+ "epoch": 1.89,
3779
+ "learning_rate": 0.000188,
3780
+ "loss": 0.6907,
3781
+ "step": 5900
3782
+ },
3783
+ {
3784
+ "epoch": 1.89,
3785
+ "learning_rate": 0.00018780676328502413,
3786
+ "loss": 0.6645,
3787
+ "step": 5910
3788
+ },
3789
+ {
3790
+ "epoch": 1.89,
3791
+ "learning_rate": 0.0001876135265700483,
3792
+ "loss": 0.6719,
3793
+ "step": 5920
3794
+ },
3795
+ {
3796
+ "epoch": 1.9,
3797
+ "learning_rate": 0.00018742028985507244,
3798
+ "loss": 0.6417,
3799
+ "step": 5930
3800
+ },
3801
+ {
3802
+ "epoch": 1.9,
3803
+ "learning_rate": 0.0001872270531400966,
3804
+ "loss": 0.6383,
3805
+ "step": 5940
3806
+ },
3807
+ {
3808
+ "epoch": 1.9,
3809
+ "learning_rate": 0.00018703381642512076,
3810
+ "loss": 0.6342,
3811
+ "step": 5950
3812
+ },
3813
+ {
3814
+ "epoch": 1.91,
3815
+ "learning_rate": 0.0001868405797101449,
3816
+ "loss": 0.657,
3817
+ "step": 5960
3818
+ },
3819
+ {
3820
+ "epoch": 1.91,
3821
+ "learning_rate": 0.00018664734299516907,
3822
+ "loss": 0.6832,
3823
+ "step": 5970
3824
+ },
3825
+ {
3826
+ "epoch": 1.91,
3827
+ "learning_rate": 0.0001864541062801932,
3828
+ "loss": 0.6658,
3829
+ "step": 5980
3830
+ },
3831
+ {
3832
+ "epoch": 1.92,
3833
+ "learning_rate": 0.00018626086956521738,
3834
+ "loss": 0.6614,
3835
+ "step": 5990
3836
+ },
3837
+ {
3838
+ "epoch": 1.92,
3839
+ "learning_rate": 0.00018606763285024152,
3840
+ "loss": 0.6878,
3841
+ "step": 6000
3842
+ },
3843
+ {
3844
+ "epoch": 1.92,
3845
+ "eval_loss": 0.6828343272209167,
3846
+ "eval_runtime": 392.2472,
3847
+ "eval_samples_per_second": 5.099,
3848
+ "eval_steps_per_second": 0.637,
3849
+ "step": 6000
3850
+ },
3851
+ {
3852
+ "epoch": 1.92,
3853
+ "learning_rate": 0.0001858743961352657,
3854
+ "loss": 0.6408,
3855
+ "step": 6010
3856
+ },
3857
+ {
3858
+ "epoch": 1.93,
3859
+ "learning_rate": 0.00018568115942028984,
3860
+ "loss": 0.6498,
3861
+ "step": 6020
3862
+ },
3863
+ {
3864
+ "epoch": 1.93,
3865
+ "learning_rate": 0.000185487922705314,
3866
+ "loss": 0.6598,
3867
+ "step": 6030
3868
+ },
3869
+ {
3870
+ "epoch": 1.93,
3871
+ "learning_rate": 0.00018529468599033815,
3872
+ "loss": 0.6231,
3873
+ "step": 6040
3874
+ },
3875
+ {
3876
+ "epoch": 1.94,
3877
+ "learning_rate": 0.0001851014492753623,
3878
+ "loss": 0.6906,
3879
+ "step": 6050
3880
+ },
3881
+ {
3882
+ "epoch": 1.94,
3883
+ "learning_rate": 0.00018490821256038646,
3884
+ "loss": 0.6467,
3885
+ "step": 6060
3886
+ },
3887
+ {
3888
+ "epoch": 1.94,
3889
+ "learning_rate": 0.0001847149758454106,
3890
+ "loss": 0.6355,
3891
+ "step": 6070
3892
+ },
3893
+ {
3894
+ "epoch": 1.95,
3895
+ "learning_rate": 0.00018452173913043477,
3896
+ "loss": 0.6794,
3897
+ "step": 6080
3898
+ },
3899
+ {
3900
+ "epoch": 1.95,
3901
+ "learning_rate": 0.00018432850241545891,
3902
+ "loss": 0.6475,
3903
+ "step": 6090
3904
+ },
3905
+ {
3906
+ "epoch": 1.95,
3907
+ "learning_rate": 0.00018413526570048306,
3908
+ "loss": 0.6165,
3909
+ "step": 6100
3910
+ },
3911
+ {
3912
+ "epoch": 1.96,
3913
+ "learning_rate": 0.00018394202898550723,
3914
+ "loss": 0.6281,
3915
+ "step": 6110
3916
+ },
3917
+ {
3918
+ "epoch": 1.96,
3919
+ "learning_rate": 0.0001837487922705314,
3920
+ "loss": 0.6473,
3921
+ "step": 6120
3922
+ },
3923
+ {
3924
+ "epoch": 1.96,
3925
+ "learning_rate": 0.00018355555555555554,
3926
+ "loss": 0.6415,
3927
+ "step": 6130
3928
+ },
3929
+ {
3930
+ "epoch": 1.96,
3931
+ "learning_rate": 0.00018336231884057968,
3932
+ "loss": 0.659,
3933
+ "step": 6140
3934
+ },
3935
+ {
3936
+ "epoch": 1.97,
3937
+ "learning_rate": 0.00018316908212560385,
3938
+ "loss": 0.6821,
3939
+ "step": 6150
3940
+ },
3941
+ {
3942
+ "epoch": 1.97,
3943
+ "learning_rate": 0.00018297584541062802,
3944
+ "loss": 0.6631,
3945
+ "step": 6160
3946
+ },
3947
+ {
3948
+ "epoch": 1.97,
3949
+ "learning_rate": 0.00018278260869565216,
3950
+ "loss": 0.6332,
3951
+ "step": 6170
3952
+ },
3953
+ {
3954
+ "epoch": 1.98,
3955
+ "learning_rate": 0.0001825893719806763,
3956
+ "loss": 0.6561,
3957
+ "step": 6180
3958
+ },
3959
+ {
3960
+ "epoch": 1.98,
3961
+ "learning_rate": 0.00018239613526570045,
3962
+ "loss": 0.6654,
3963
+ "step": 6190
3964
+ },
3965
+ {
3966
+ "epoch": 1.98,
3967
+ "learning_rate": 0.00018220289855072462,
3968
+ "loss": 0.6656,
3969
+ "step": 6200
3970
+ },
3971
+ {
3972
+ "epoch": 1.98,
3973
+ "eval_loss": 0.6827040314674377,
3974
+ "eval_runtime": 411.107,
3975
+ "eval_samples_per_second": 4.865,
3976
+ "eval_steps_per_second": 0.608,
3977
+ "step": 6200
3978
+ }
3979
+ ],
3980
+ "logging_steps": 10,
3981
+ "max_steps": 15625,
3982
+ "num_train_epochs": 5,
3983
+ "save_steps": 200,
3984
+ "total_flos": 9.076709518992998e+17,
3985
+ "trial_name": null,
3986
+ "trial_params": null
3987
+ }
1a_52k/best_model/training_args.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:9d7061c7af35fd492ca3f6488de8df547618d812380d9bafbcd899a141e4439a
3
+ size 4027
1b_52k/best_model/adapter_config.json ADDED
@@ -0,0 +1,21 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "base_model_name_or_path": "huggyllama/llama-7b",
3
+ "bias": "none",
4
+ "enable_lora": null,
5
+ "fan_in_fan_out": false,
6
+ "inference_mode": true,
7
+ "init_lora_weights": true,
8
+ "lora_alpha": 16,
9
+ "lora_dropout": 0.05,
10
+ "merge_weights": false,
11
+ "modules_to_save": null,
12
+ "peft_type": "LORA",
13
+ "r": 16,
14
+ "target_modules": [
15
+ "q_proj",
16
+ "k_proj",
17
+ "v_proj",
18
+ "o_proj"
19
+ ],
20
+ "task_type": "CAUSAL_LM"
21
+ }
1b_52k/best_model/adapter_model.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:e0c9ec4bd365e976e6dd3756be389a4ba67a7a717d24e40ab3e92bce8a4aeb9b
3
+ size 67201357
1b_52k/best_model/optimizer.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:e09c4a4fffc8d2697b85bc45adb2186c5375b110db55628526cab3c41ee7ec51
3
+ size 134433093
1b_52k/best_model/rng_state.pth ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:a7d6f96c7f113a40e55242b894882813a652bd0bf62a9dddb84e671e6c82e98a
3
+ size 14575
1b_52k/best_model/scheduler.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:34396d061373c501d7b53ce6f3a85b6a9bb7a6872aad71fe1d037c07b8516fe0
3
+ size 627
1b_52k/best_model/trainer_state.json ADDED
@@ -0,0 +1,3987 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_metric": 0.4666987955570221,
3
+ "best_model_checkpoint": "checkpoints/1b_52k/checkpoint-6200",
4
+ "epoch": 1.9935691318327975,
5
+ "eval_steps": 200,
6
+ "global_step": 6200,
7
+ "is_hyper_param_search": false,
8
+ "is_local_process_zero": true,
9
+ "is_world_process_zero": true,
10
+ "log_history": [
11
+ {
12
+ "epoch": 0.0,
13
+ "learning_rate": 2.6999999999999996e-05,
14
+ "loss": 1.2981,
15
+ "step": 10
16
+ },
17
+ {
18
+ "epoch": 0.01,
19
+ "learning_rate": 5.1e-05,
20
+ "loss": 1.2597,
21
+ "step": 20
22
+ },
23
+ {
24
+ "epoch": 0.01,
25
+ "learning_rate": 8.1e-05,
26
+ "loss": 1.1419,
27
+ "step": 30
28
+ },
29
+ {
30
+ "epoch": 0.01,
31
+ "learning_rate": 0.00011099999999999999,
32
+ "loss": 0.8779,
33
+ "step": 40
34
+ },
35
+ {
36
+ "epoch": 0.02,
37
+ "learning_rate": 0.00014099999999999998,
38
+ "loss": 0.7661,
39
+ "step": 50
40
+ },
41
+ {
42
+ "epoch": 0.02,
43
+ "learning_rate": 0.00017099999999999998,
44
+ "loss": 0.7354,
45
+ "step": 60
46
+ },
47
+ {
48
+ "epoch": 0.02,
49
+ "learning_rate": 0.000201,
50
+ "loss": 0.5858,
51
+ "step": 70
52
+ },
53
+ {
54
+ "epoch": 0.03,
55
+ "learning_rate": 0.00023099999999999998,
56
+ "loss": 0.5491,
57
+ "step": 80
58
+ },
59
+ {
60
+ "epoch": 0.03,
61
+ "learning_rate": 0.000261,
62
+ "loss": 0.5445,
63
+ "step": 90
64
+ },
65
+ {
66
+ "epoch": 0.03,
67
+ "learning_rate": 0.00029099999999999997,
68
+ "loss": 0.5566,
69
+ "step": 100
70
+ },
71
+ {
72
+ "epoch": 0.04,
73
+ "learning_rate": 0.0002998640776699029,
74
+ "loss": 0.5398,
75
+ "step": 110
76
+ },
77
+ {
78
+ "epoch": 0.04,
79
+ "learning_rate": 0.0002996699029126213,
80
+ "loss": 0.528,
81
+ "step": 120
82
+ },
83
+ {
84
+ "epoch": 0.04,
85
+ "learning_rate": 0.0002994757281553398,
86
+ "loss": 0.5818,
87
+ "step": 130
88
+ },
89
+ {
90
+ "epoch": 0.05,
91
+ "learning_rate": 0.00029928155339805826,
92
+ "loss": 0.5048,
93
+ "step": 140
94
+ },
95
+ {
96
+ "epoch": 0.05,
97
+ "learning_rate": 0.0002990873786407767,
98
+ "loss": 0.5234,
99
+ "step": 150
100
+ },
101
+ {
102
+ "epoch": 0.05,
103
+ "learning_rate": 0.00029889320388349516,
104
+ "loss": 0.5353,
105
+ "step": 160
106
+ },
107
+ {
108
+ "epoch": 0.05,
109
+ "learning_rate": 0.0002986990291262136,
110
+ "loss": 0.5341,
111
+ "step": 170
112
+ },
113
+ {
114
+ "epoch": 0.06,
115
+ "learning_rate": 0.000298504854368932,
116
+ "loss": 0.5185,
117
+ "step": 180
118
+ },
119
+ {
120
+ "epoch": 0.06,
121
+ "learning_rate": 0.00029831067961165047,
122
+ "loss": 0.5046,
123
+ "step": 190
124
+ },
125
+ {
126
+ "epoch": 0.06,
127
+ "learning_rate": 0.0002981165048543689,
128
+ "loss": 0.4929,
129
+ "step": 200
130
+ },
131
+ {
132
+ "epoch": 0.06,
133
+ "eval_loss": 0.5254431366920471,
134
+ "eval_runtime": 503.7885,
135
+ "eval_samples_per_second": 3.97,
136
+ "eval_steps_per_second": 0.496,
137
+ "step": 200
138
+ },
139
+ {
140
+ "epoch": 0.07,
141
+ "learning_rate": 0.00029792233009708736,
142
+ "loss": 0.5269,
143
+ "step": 210
144
+ },
145
+ {
146
+ "epoch": 0.07,
147
+ "learning_rate": 0.0002977281553398058,
148
+ "loss": 0.5073,
149
+ "step": 220
150
+ },
151
+ {
152
+ "epoch": 0.07,
153
+ "learning_rate": 0.00029753398058252425,
154
+ "loss": 0.5534,
155
+ "step": 230
156
+ },
157
+ {
158
+ "epoch": 0.08,
159
+ "learning_rate": 0.00029733980582524267,
160
+ "loss": 0.5466,
161
+ "step": 240
162
+ },
163
+ {
164
+ "epoch": 0.08,
165
+ "learning_rate": 0.00029714563106796114,
166
+ "loss": 0.5065,
167
+ "step": 250
168
+ },
169
+ {
170
+ "epoch": 0.08,
171
+ "learning_rate": 0.0002969514563106796,
172
+ "loss": 0.5038,
173
+ "step": 260
174
+ },
175
+ {
176
+ "epoch": 0.09,
177
+ "learning_rate": 0.00029675728155339803,
178
+ "loss": 0.5398,
179
+ "step": 270
180
+ },
181
+ {
182
+ "epoch": 0.09,
183
+ "learning_rate": 0.0002965631067961165,
184
+ "loss": 0.5068,
185
+ "step": 280
186
+ },
187
+ {
188
+ "epoch": 0.09,
189
+ "learning_rate": 0.0002963689320388349,
190
+ "loss": 0.496,
191
+ "step": 290
192
+ },
193
+ {
194
+ "epoch": 0.1,
195
+ "learning_rate": 0.0002961747572815534,
196
+ "loss": 0.5276,
197
+ "step": 300
198
+ },
199
+ {
200
+ "epoch": 0.1,
201
+ "learning_rate": 0.0002959805825242718,
202
+ "loss": 0.5269,
203
+ "step": 310
204
+ },
205
+ {
206
+ "epoch": 0.1,
207
+ "learning_rate": 0.00029578640776699023,
208
+ "loss": 0.504,
209
+ "step": 320
210
+ },
211
+ {
212
+ "epoch": 0.11,
213
+ "learning_rate": 0.0002955922330097087,
214
+ "loss": 0.5183,
215
+ "step": 330
216
+ },
217
+ {
218
+ "epoch": 0.11,
219
+ "learning_rate": 0.0002953980582524271,
220
+ "loss": 0.4911,
221
+ "step": 340
222
+ },
223
+ {
224
+ "epoch": 0.11,
225
+ "learning_rate": 0.0002952038834951456,
226
+ "loss": 0.4937,
227
+ "step": 350
228
+ },
229
+ {
230
+ "epoch": 0.12,
231
+ "learning_rate": 0.00029500970873786407,
232
+ "loss": 0.4942,
233
+ "step": 360
234
+ },
235
+ {
236
+ "epoch": 0.12,
237
+ "learning_rate": 0.0002948155339805825,
238
+ "loss": 0.4763,
239
+ "step": 370
240
+ },
241
+ {
242
+ "epoch": 0.12,
243
+ "learning_rate": 0.00029462135922330096,
244
+ "loss": 0.5261,
245
+ "step": 380
246
+ },
247
+ {
248
+ "epoch": 0.13,
249
+ "learning_rate": 0.0002944271844660194,
250
+ "loss": 0.5031,
251
+ "step": 390
252
+ },
253
+ {
254
+ "epoch": 0.13,
255
+ "learning_rate": 0.00029423300970873786,
256
+ "loss": 0.5103,
257
+ "step": 400
258
+ },
259
+ {
260
+ "epoch": 0.13,
261
+ "eval_loss": 0.5078505873680115,
262
+ "eval_runtime": 523.4102,
263
+ "eval_samples_per_second": 3.821,
264
+ "eval_steps_per_second": 0.478,
265
+ "step": 400
266
+ },
267
+ {
268
+ "epoch": 0.13,
269
+ "learning_rate": 0.0002940388349514563,
270
+ "loss": 0.5134,
271
+ "step": 410
272
+ },
273
+ {
274
+ "epoch": 0.14,
275
+ "learning_rate": 0.00029384466019417475,
276
+ "loss": 0.5013,
277
+ "step": 420
278
+ },
279
+ {
280
+ "epoch": 0.14,
281
+ "learning_rate": 0.00029365048543689317,
282
+ "loss": 0.5222,
283
+ "step": 430
284
+ },
285
+ {
286
+ "epoch": 0.14,
287
+ "learning_rate": 0.00029345631067961164,
288
+ "loss": 0.5072,
289
+ "step": 440
290
+ },
291
+ {
292
+ "epoch": 0.14,
293
+ "learning_rate": 0.00029326213592233006,
294
+ "loss": 0.4943,
295
+ "step": 450
296
+ },
297
+ {
298
+ "epoch": 0.15,
299
+ "learning_rate": 0.00029306796116504853,
300
+ "loss": 0.4941,
301
+ "step": 460
302
+ },
303
+ {
304
+ "epoch": 0.15,
305
+ "learning_rate": 0.00029287378640776695,
306
+ "loss": 0.4767,
307
+ "step": 470
308
+ },
309
+ {
310
+ "epoch": 0.15,
311
+ "learning_rate": 0.0002926796116504854,
312
+ "loss": 0.5166,
313
+ "step": 480
314
+ },
315
+ {
316
+ "epoch": 0.16,
317
+ "learning_rate": 0.00029248543689320384,
318
+ "loss": 0.487,
319
+ "step": 490
320
+ },
321
+ {
322
+ "epoch": 0.16,
323
+ "learning_rate": 0.0002922912621359223,
324
+ "loss": 0.5165,
325
+ "step": 500
326
+ },
327
+ {
328
+ "epoch": 0.16,
329
+ "learning_rate": 0.00029209708737864073,
330
+ "loss": 0.4742,
331
+ "step": 510
332
+ },
333
+ {
334
+ "epoch": 0.17,
335
+ "learning_rate": 0.0002919029126213592,
336
+ "loss": 0.496,
337
+ "step": 520
338
+ },
339
+ {
340
+ "epoch": 0.17,
341
+ "learning_rate": 0.0002917087378640776,
342
+ "loss": 0.4934,
343
+ "step": 530
344
+ },
345
+ {
346
+ "epoch": 0.17,
347
+ "learning_rate": 0.0002915145631067961,
348
+ "loss": 0.4915,
349
+ "step": 540
350
+ },
351
+ {
352
+ "epoch": 0.18,
353
+ "learning_rate": 0.00029132038834951457,
354
+ "loss": 0.4783,
355
+ "step": 550
356
+ },
357
+ {
358
+ "epoch": 0.18,
359
+ "learning_rate": 0.000291126213592233,
360
+ "loss": 0.4869,
361
+ "step": 560
362
+ },
363
+ {
364
+ "epoch": 0.18,
365
+ "learning_rate": 0.00029093203883495146,
366
+ "loss": 0.4802,
367
+ "step": 570
368
+ },
369
+ {
370
+ "epoch": 0.19,
371
+ "learning_rate": 0.0002907378640776699,
372
+ "loss": 0.4953,
373
+ "step": 580
374
+ },
375
+ {
376
+ "epoch": 0.19,
377
+ "learning_rate": 0.00029054368932038835,
378
+ "loss": 0.4859,
379
+ "step": 590
380
+ },
381
+ {
382
+ "epoch": 0.19,
383
+ "learning_rate": 0.00029034951456310677,
384
+ "loss": 0.5093,
385
+ "step": 600
386
+ },
387
+ {
388
+ "epoch": 0.19,
389
+ "eval_loss": 0.4987016022205353,
390
+ "eval_runtime": 527.0047,
391
+ "eval_samples_per_second": 3.795,
392
+ "eval_steps_per_second": 0.474,
393
+ "step": 600
394
+ },
395
+ {
396
+ "epoch": 0.2,
397
+ "learning_rate": 0.0002901553398058252,
398
+ "loss": 0.4876,
399
+ "step": 610
400
+ },
401
+ {
402
+ "epoch": 0.2,
403
+ "learning_rate": 0.00028996116504854366,
404
+ "loss": 0.5086,
405
+ "step": 620
406
+ },
407
+ {
408
+ "epoch": 0.2,
409
+ "learning_rate": 0.0002897669902912621,
410
+ "loss": 0.5089,
411
+ "step": 630
412
+ },
413
+ {
414
+ "epoch": 0.21,
415
+ "learning_rate": 0.00028957281553398056,
416
+ "loss": 0.5143,
417
+ "step": 640
418
+ },
419
+ {
420
+ "epoch": 0.21,
421
+ "learning_rate": 0.000289378640776699,
422
+ "loss": 0.5274,
423
+ "step": 650
424
+ },
425
+ {
426
+ "epoch": 0.21,
427
+ "learning_rate": 0.00028918446601941745,
428
+ "loss": 0.4704,
429
+ "step": 660
430
+ },
431
+ {
432
+ "epoch": 0.22,
433
+ "learning_rate": 0.0002889902912621359,
434
+ "loss": 0.4951,
435
+ "step": 670
436
+ },
437
+ {
438
+ "epoch": 0.22,
439
+ "learning_rate": 0.00028879611650485434,
440
+ "loss": 0.4949,
441
+ "step": 680
442
+ },
443
+ {
444
+ "epoch": 0.22,
445
+ "learning_rate": 0.0002886019417475728,
446
+ "loss": 0.465,
447
+ "step": 690
448
+ },
449
+ {
450
+ "epoch": 0.23,
451
+ "learning_rate": 0.00028840776699029123,
452
+ "loss": 0.4942,
453
+ "step": 700
454
+ },
455
+ {
456
+ "epoch": 0.23,
457
+ "learning_rate": 0.0002882135922330097,
458
+ "loss": 0.4861,
459
+ "step": 710
460
+ },
461
+ {
462
+ "epoch": 0.23,
463
+ "learning_rate": 0.0002880194174757281,
464
+ "loss": 0.4591,
465
+ "step": 720
466
+ },
467
+ {
468
+ "epoch": 0.23,
469
+ "learning_rate": 0.0002878252427184466,
470
+ "loss": 0.4983,
471
+ "step": 730
472
+ },
473
+ {
474
+ "epoch": 0.24,
475
+ "learning_rate": 0.000287631067961165,
476
+ "loss": 0.4883,
477
+ "step": 740
478
+ },
479
+ {
480
+ "epoch": 0.24,
481
+ "learning_rate": 0.00028743689320388343,
482
+ "loss": 0.485,
483
+ "step": 750
484
+ },
485
+ {
486
+ "epoch": 0.24,
487
+ "learning_rate": 0.0002872427184466019,
488
+ "loss": 0.4901,
489
+ "step": 760
490
+ },
491
+ {
492
+ "epoch": 0.25,
493
+ "learning_rate": 0.0002870485436893204,
494
+ "loss": 0.5018,
495
+ "step": 770
496
+ },
497
+ {
498
+ "epoch": 0.25,
499
+ "learning_rate": 0.0002868543689320388,
500
+ "loss": 0.4737,
501
+ "step": 780
502
+ },
503
+ {
504
+ "epoch": 0.25,
505
+ "learning_rate": 0.00028666019417475727,
506
+ "loss": 0.4885,
507
+ "step": 790
508
+ },
509
+ {
510
+ "epoch": 0.26,
511
+ "learning_rate": 0.0002864660194174757,
512
+ "loss": 0.4958,
513
+ "step": 800
514
+ },
515
+ {
516
+ "epoch": 0.26,
517
+ "eval_loss": 0.4947653114795685,
518
+ "eval_runtime": 537.1211,
519
+ "eval_samples_per_second": 3.724,
520
+ "eval_steps_per_second": 0.465,
521
+ "step": 800
522
+ },
523
+ {
524
+ "epoch": 0.26,
525
+ "learning_rate": 0.00028627184466019416,
526
+ "loss": 0.4811,
527
+ "step": 810
528
+ },
529
+ {
530
+ "epoch": 0.26,
531
+ "learning_rate": 0.0002860776699029126,
532
+ "loss": 0.5244,
533
+ "step": 820
534
+ },
535
+ {
536
+ "epoch": 0.27,
537
+ "learning_rate": 0.00028588349514563105,
538
+ "loss": 0.4735,
539
+ "step": 830
540
+ },
541
+ {
542
+ "epoch": 0.27,
543
+ "learning_rate": 0.00028568932038834947,
544
+ "loss": 0.5116,
545
+ "step": 840
546
+ },
547
+ {
548
+ "epoch": 0.27,
549
+ "learning_rate": 0.00028549514563106794,
550
+ "loss": 0.5015,
551
+ "step": 850
552
+ },
553
+ {
554
+ "epoch": 0.28,
555
+ "learning_rate": 0.0002853009708737864,
556
+ "loss": 0.4914,
557
+ "step": 860
558
+ },
559
+ {
560
+ "epoch": 0.28,
561
+ "learning_rate": 0.00028510679611650484,
562
+ "loss": 0.5336,
563
+ "step": 870
564
+ },
565
+ {
566
+ "epoch": 0.28,
567
+ "learning_rate": 0.0002849126213592233,
568
+ "loss": 0.4975,
569
+ "step": 880
570
+ },
571
+ {
572
+ "epoch": 0.29,
573
+ "learning_rate": 0.00028471844660194173,
574
+ "loss": 0.4693,
575
+ "step": 890
576
+ },
577
+ {
578
+ "epoch": 0.29,
579
+ "learning_rate": 0.00028452427184466015,
580
+ "loss": 0.4915,
581
+ "step": 900
582
+ },
583
+ {
584
+ "epoch": 0.29,
585
+ "learning_rate": 0.0002843300970873786,
586
+ "loss": 0.4595,
587
+ "step": 910
588
+ },
589
+ {
590
+ "epoch": 0.3,
591
+ "learning_rate": 0.00028413592233009704,
592
+ "loss": 0.5101,
593
+ "step": 920
594
+ },
595
+ {
596
+ "epoch": 0.3,
597
+ "learning_rate": 0.0002839417475728155,
598
+ "loss": 0.4835,
599
+ "step": 930
600
+ },
601
+ {
602
+ "epoch": 0.3,
603
+ "learning_rate": 0.00028374757281553393,
604
+ "loss": 0.4749,
605
+ "step": 940
606
+ },
607
+ {
608
+ "epoch": 0.31,
609
+ "learning_rate": 0.0002835533980582524,
610
+ "loss": 0.4943,
611
+ "step": 950
612
+ },
613
+ {
614
+ "epoch": 0.31,
615
+ "learning_rate": 0.0002833592233009709,
616
+ "loss": 0.5031,
617
+ "step": 960
618
+ },
619
+ {
620
+ "epoch": 0.31,
621
+ "learning_rate": 0.0002831650485436893,
622
+ "loss": 0.472,
623
+ "step": 970
624
+ },
625
+ {
626
+ "epoch": 0.32,
627
+ "learning_rate": 0.00028297087378640777,
628
+ "loss": 0.5117,
629
+ "step": 980
630
+ },
631
+ {
632
+ "epoch": 0.32,
633
+ "learning_rate": 0.0002827766990291262,
634
+ "loss": 0.4917,
635
+ "step": 990
636
+ },
637
+ {
638
+ "epoch": 0.32,
639
+ "learning_rate": 0.00028258252427184466,
640
+ "loss": 0.4764,
641
+ "step": 1000
642
+ },
643
+ {
644
+ "epoch": 0.32,
645
+ "eval_loss": 0.49110785126686096,
646
+ "eval_runtime": 534.8721,
647
+ "eval_samples_per_second": 3.739,
648
+ "eval_steps_per_second": 0.467,
649
+ "step": 1000
650
+ },
651
+ {
652
+ "epoch": 0.32,
653
+ "learning_rate": 0.0002823883495145631,
654
+ "loss": 0.4696,
655
+ "step": 1010
656
+ },
657
+ {
658
+ "epoch": 0.33,
659
+ "learning_rate": 0.00028219417475728155,
660
+ "loss": 0.4927,
661
+ "step": 1020
662
+ },
663
+ {
664
+ "epoch": 0.33,
665
+ "learning_rate": 0.00028199999999999997,
666
+ "loss": 0.4699,
667
+ "step": 1030
668
+ },
669
+ {
670
+ "epoch": 0.33,
671
+ "learning_rate": 0.0002818058252427184,
672
+ "loss": 0.4746,
673
+ "step": 1040
674
+ },
675
+ {
676
+ "epoch": 0.34,
677
+ "learning_rate": 0.00028161165048543686,
678
+ "loss": 0.4837,
679
+ "step": 1050
680
+ },
681
+ {
682
+ "epoch": 0.34,
683
+ "learning_rate": 0.0002814174757281553,
684
+ "loss": 0.4655,
685
+ "step": 1060
686
+ },
687
+ {
688
+ "epoch": 0.34,
689
+ "learning_rate": 0.00028122330097087375,
690
+ "loss": 0.4977,
691
+ "step": 1070
692
+ },
693
+ {
694
+ "epoch": 0.35,
695
+ "learning_rate": 0.0002810291262135922,
696
+ "loss": 0.4806,
697
+ "step": 1080
698
+ },
699
+ {
700
+ "epoch": 0.35,
701
+ "learning_rate": 0.00028083495145631064,
702
+ "loss": 0.4728,
703
+ "step": 1090
704
+ },
705
+ {
706
+ "epoch": 0.35,
707
+ "learning_rate": 0.0002806407766990291,
708
+ "loss": 0.4704,
709
+ "step": 1100
710
+ },
711
+ {
712
+ "epoch": 0.36,
713
+ "learning_rate": 0.00028044660194174754,
714
+ "loss": 0.4583,
715
+ "step": 1110
716
+ },
717
+ {
718
+ "epoch": 0.36,
719
+ "learning_rate": 0.000280252427184466,
720
+ "loss": 0.4733,
721
+ "step": 1120
722
+ },
723
+ {
724
+ "epoch": 0.36,
725
+ "learning_rate": 0.00028005825242718443,
726
+ "loss": 0.4797,
727
+ "step": 1130
728
+ },
729
+ {
730
+ "epoch": 0.37,
731
+ "learning_rate": 0.0002798640776699029,
732
+ "loss": 0.4971,
733
+ "step": 1140
734
+ },
735
+ {
736
+ "epoch": 0.37,
737
+ "learning_rate": 0.0002796699029126213,
738
+ "loss": 0.4556,
739
+ "step": 1150
740
+ },
741
+ {
742
+ "epoch": 0.37,
743
+ "learning_rate": 0.0002794757281553398,
744
+ "loss": 0.4836,
745
+ "step": 1160
746
+ },
747
+ {
748
+ "epoch": 0.38,
749
+ "learning_rate": 0.00027928155339805827,
750
+ "loss": 0.4931,
751
+ "step": 1170
752
+ },
753
+ {
754
+ "epoch": 0.38,
755
+ "learning_rate": 0.0002790873786407767,
756
+ "loss": 0.4741,
757
+ "step": 1180
758
+ },
759
+ {
760
+ "epoch": 0.38,
761
+ "learning_rate": 0.0002788932038834951,
762
+ "loss": 0.4926,
763
+ "step": 1190
764
+ },
765
+ {
766
+ "epoch": 0.39,
767
+ "learning_rate": 0.0002786990291262136,
768
+ "loss": 0.4791,
769
+ "step": 1200
770
+ },
771
+ {
772
+ "epoch": 0.39,
773
+ "eval_loss": 0.48850855231285095,
774
+ "eval_runtime": 532.9556,
775
+ "eval_samples_per_second": 3.753,
776
+ "eval_steps_per_second": 0.469,
777
+ "step": 1200
778
+ },
779
+ {
780
+ "epoch": 0.39,
781
+ "learning_rate": 0.000278504854368932,
782
+ "loss": 0.4925,
783
+ "step": 1210
784
+ },
785
+ {
786
+ "epoch": 0.39,
787
+ "learning_rate": 0.00027831067961165047,
788
+ "loss": 0.4947,
789
+ "step": 1220
790
+ },
791
+ {
792
+ "epoch": 0.4,
793
+ "learning_rate": 0.0002781165048543689,
794
+ "loss": 0.4804,
795
+ "step": 1230
796
+ },
797
+ {
798
+ "epoch": 0.4,
799
+ "learning_rate": 0.00027792233009708736,
800
+ "loss": 0.5022,
801
+ "step": 1240
802
+ },
803
+ {
804
+ "epoch": 0.4,
805
+ "learning_rate": 0.0002777281553398058,
806
+ "loss": 0.5123,
807
+ "step": 1250
808
+ },
809
+ {
810
+ "epoch": 0.41,
811
+ "learning_rate": 0.00027753398058252425,
812
+ "loss": 0.5035,
813
+ "step": 1260
814
+ },
815
+ {
816
+ "epoch": 0.41,
817
+ "learning_rate": 0.0002773398058252427,
818
+ "loss": 0.4622,
819
+ "step": 1270
820
+ },
821
+ {
822
+ "epoch": 0.41,
823
+ "learning_rate": 0.00027714563106796114,
824
+ "loss": 0.4921,
825
+ "step": 1280
826
+ },
827
+ {
828
+ "epoch": 0.41,
829
+ "learning_rate": 0.0002769514563106796,
830
+ "loss": 0.4908,
831
+ "step": 1290
832
+ },
833
+ {
834
+ "epoch": 0.42,
835
+ "learning_rate": 0.00027675728155339803,
836
+ "loss": 0.4937,
837
+ "step": 1300
838
+ },
839
+ {
840
+ "epoch": 0.42,
841
+ "learning_rate": 0.0002765631067961165,
842
+ "loss": 0.4787,
843
+ "step": 1310
844
+ },
845
+ {
846
+ "epoch": 0.42,
847
+ "learning_rate": 0.0002763689320388349,
848
+ "loss": 0.4844,
849
+ "step": 1320
850
+ },
851
+ {
852
+ "epoch": 0.43,
853
+ "learning_rate": 0.00027617475728155334,
854
+ "loss": 0.4835,
855
+ "step": 1330
856
+ },
857
+ {
858
+ "epoch": 0.43,
859
+ "learning_rate": 0.0002759805825242718,
860
+ "loss": 0.4707,
861
+ "step": 1340
862
+ },
863
+ {
864
+ "epoch": 0.43,
865
+ "learning_rate": 0.00027578640776699024,
866
+ "loss": 0.4695,
867
+ "step": 1350
868
+ },
869
+ {
870
+ "epoch": 0.44,
871
+ "learning_rate": 0.0002755922330097087,
872
+ "loss": 0.4692,
873
+ "step": 1360
874
+ },
875
+ {
876
+ "epoch": 0.44,
877
+ "learning_rate": 0.0002753980582524272,
878
+ "loss": 0.4865,
879
+ "step": 1370
880
+ },
881
+ {
882
+ "epoch": 0.44,
883
+ "learning_rate": 0.0002752038834951456,
884
+ "loss": 0.4816,
885
+ "step": 1380
886
+ },
887
+ {
888
+ "epoch": 0.45,
889
+ "learning_rate": 0.0002750097087378641,
890
+ "loss": 0.4665,
891
+ "step": 1390
892
+ },
893
+ {
894
+ "epoch": 0.45,
895
+ "learning_rate": 0.0002748155339805825,
896
+ "loss": 0.5001,
897
+ "step": 1400
898
+ },
899
+ {
900
+ "epoch": 0.45,
901
+ "eval_loss": 0.4845764636993408,
902
+ "eval_runtime": 528.8954,
903
+ "eval_samples_per_second": 3.781,
904
+ "eval_steps_per_second": 0.473,
905
+ "step": 1400
906
+ },
907
+ {
908
+ "epoch": 0.45,
909
+ "learning_rate": 0.00027462135922330097,
910
+ "loss": 0.4748,
911
+ "step": 1410
912
+ },
913
+ {
914
+ "epoch": 0.46,
915
+ "learning_rate": 0.0002744271844660194,
916
+ "loss": 0.4855,
917
+ "step": 1420
918
+ },
919
+ {
920
+ "epoch": 0.46,
921
+ "learning_rate": 0.00027423300970873786,
922
+ "loss": 0.4921,
923
+ "step": 1430
924
+ },
925
+ {
926
+ "epoch": 0.46,
927
+ "learning_rate": 0.0002740388349514563,
928
+ "loss": 0.4978,
929
+ "step": 1440
930
+ },
931
+ {
932
+ "epoch": 0.47,
933
+ "learning_rate": 0.00027384466019417475,
934
+ "loss": 0.4807,
935
+ "step": 1450
936
+ },
937
+ {
938
+ "epoch": 0.47,
939
+ "learning_rate": 0.0002736504854368932,
940
+ "loss": 0.49,
941
+ "step": 1460
942
+ },
943
+ {
944
+ "epoch": 0.47,
945
+ "learning_rate": 0.0002734563106796116,
946
+ "loss": 0.4812,
947
+ "step": 1470
948
+ },
949
+ {
950
+ "epoch": 0.48,
951
+ "learning_rate": 0.00027326213592233006,
952
+ "loss": 0.4823,
953
+ "step": 1480
954
+ },
955
+ {
956
+ "epoch": 0.48,
957
+ "learning_rate": 0.00027306796116504853,
958
+ "loss": 0.4581,
959
+ "step": 1490
960
+ },
961
+ {
962
+ "epoch": 0.48,
963
+ "learning_rate": 0.00027287378640776695,
964
+ "loss": 0.4975,
965
+ "step": 1500
966
+ },
967
+ {
968
+ "epoch": 0.49,
969
+ "learning_rate": 0.0002726796116504854,
970
+ "loss": 0.4859,
971
+ "step": 1510
972
+ },
973
+ {
974
+ "epoch": 0.49,
975
+ "learning_rate": 0.00027248543689320384,
976
+ "loss": 0.4661,
977
+ "step": 1520
978
+ },
979
+ {
980
+ "epoch": 0.49,
981
+ "learning_rate": 0.0002722912621359223,
982
+ "loss": 0.4699,
983
+ "step": 1530
984
+ },
985
+ {
986
+ "epoch": 0.5,
987
+ "learning_rate": 0.00027209708737864073,
988
+ "loss": 0.4768,
989
+ "step": 1540
990
+ },
991
+ {
992
+ "epoch": 0.5,
993
+ "learning_rate": 0.0002719029126213592,
994
+ "loss": 0.5059,
995
+ "step": 1550
996
+ },
997
+ {
998
+ "epoch": 0.5,
999
+ "learning_rate": 0.0002717087378640776,
1000
+ "loss": 0.49,
1001
+ "step": 1560
1002
+ },
1003
+ {
1004
+ "epoch": 0.5,
1005
+ "learning_rate": 0.0002715145631067961,
1006
+ "loss": 0.495,
1007
+ "step": 1570
1008
+ },
1009
+ {
1010
+ "epoch": 0.51,
1011
+ "learning_rate": 0.00027132038834951457,
1012
+ "loss": 0.4662,
1013
+ "step": 1580
1014
+ },
1015
+ {
1016
+ "epoch": 0.51,
1017
+ "learning_rate": 0.000271126213592233,
1018
+ "loss": 0.4845,
1019
+ "step": 1590
1020
+ },
1021
+ {
1022
+ "epoch": 0.51,
1023
+ "learning_rate": 0.00027093203883495146,
1024
+ "loss": 0.4706,
1025
+ "step": 1600
1026
+ },
1027
+ {
1028
+ "epoch": 0.51,
1029
+ "eval_loss": 0.48333096504211426,
1030
+ "eval_runtime": 527.3194,
1031
+ "eval_samples_per_second": 3.793,
1032
+ "eval_steps_per_second": 0.474,
1033
+ "step": 1600
1034
+ },
1035
+ {
1036
+ "epoch": 0.52,
1037
+ "learning_rate": 0.0002707378640776699,
1038
+ "loss": 0.4668,
1039
+ "step": 1610
1040
+ },
1041
+ {
1042
+ "epoch": 0.52,
1043
+ "learning_rate": 0.0002705436893203883,
1044
+ "loss": 0.4956,
1045
+ "step": 1620
1046
+ },
1047
+ {
1048
+ "epoch": 0.52,
1049
+ "learning_rate": 0.0002703495145631068,
1050
+ "loss": 0.4624,
1051
+ "step": 1630
1052
+ },
1053
+ {
1054
+ "epoch": 0.53,
1055
+ "learning_rate": 0.0002701553398058252,
1056
+ "loss": 0.5262,
1057
+ "step": 1640
1058
+ },
1059
+ {
1060
+ "epoch": 0.53,
1061
+ "learning_rate": 0.00026996116504854367,
1062
+ "loss": 0.4741,
1063
+ "step": 1650
1064
+ },
1065
+ {
1066
+ "epoch": 0.53,
1067
+ "learning_rate": 0.0002697669902912621,
1068
+ "loss": 0.4764,
1069
+ "step": 1660
1070
+ },
1071
+ {
1072
+ "epoch": 0.54,
1073
+ "learning_rate": 0.00026957281553398056,
1074
+ "loss": 0.4791,
1075
+ "step": 1670
1076
+ },
1077
+ {
1078
+ "epoch": 0.54,
1079
+ "learning_rate": 0.00026937864077669903,
1080
+ "loss": 0.4867,
1081
+ "step": 1680
1082
+ },
1083
+ {
1084
+ "epoch": 0.54,
1085
+ "learning_rate": 0.00026918446601941745,
1086
+ "loss": 0.4743,
1087
+ "step": 1690
1088
+ },
1089
+ {
1090
+ "epoch": 0.55,
1091
+ "learning_rate": 0.0002689902912621359,
1092
+ "loss": 0.4764,
1093
+ "step": 1700
1094
+ },
1095
+ {
1096
+ "epoch": 0.55,
1097
+ "learning_rate": 0.00026879611650485434,
1098
+ "loss": 0.4837,
1099
+ "step": 1710
1100
+ },
1101
+ {
1102
+ "epoch": 0.55,
1103
+ "learning_rate": 0.0002686019417475728,
1104
+ "loss": 0.4765,
1105
+ "step": 1720
1106
+ },
1107
+ {
1108
+ "epoch": 0.56,
1109
+ "learning_rate": 0.00026840776699029123,
1110
+ "loss": 0.4898,
1111
+ "step": 1730
1112
+ },
1113
+ {
1114
+ "epoch": 0.56,
1115
+ "learning_rate": 0.0002682135922330097,
1116
+ "loss": 0.4708,
1117
+ "step": 1740
1118
+ },
1119
+ {
1120
+ "epoch": 0.56,
1121
+ "learning_rate": 0.0002680194174757281,
1122
+ "loss": 0.5113,
1123
+ "step": 1750
1124
+ },
1125
+ {
1126
+ "epoch": 0.57,
1127
+ "learning_rate": 0.00026782524271844654,
1128
+ "loss": 0.4852,
1129
+ "step": 1760
1130
+ },
1131
+ {
1132
+ "epoch": 0.57,
1133
+ "learning_rate": 0.000267631067961165,
1134
+ "loss": 0.4643,
1135
+ "step": 1770
1136
+ },
1137
+ {
1138
+ "epoch": 0.57,
1139
+ "learning_rate": 0.0002674368932038835,
1140
+ "loss": 0.4666,
1141
+ "step": 1780
1142
+ },
1143
+ {
1144
+ "epoch": 0.58,
1145
+ "learning_rate": 0.0002672427184466019,
1146
+ "loss": 0.4927,
1147
+ "step": 1790
1148
+ },
1149
+ {
1150
+ "epoch": 0.58,
1151
+ "learning_rate": 0.0002670485436893204,
1152
+ "loss": 0.4778,
1153
+ "step": 1800
1154
+ },
1155
+ {
1156
+ "epoch": 0.58,
1157
+ "eval_loss": 0.4814455807209015,
1158
+ "eval_runtime": 528.5641,
1159
+ "eval_samples_per_second": 3.784,
1160
+ "eval_steps_per_second": 0.473,
1161
+ "step": 1800
1162
+ },
1163
+ {
1164
+ "epoch": 0.58,
1165
+ "learning_rate": 0.0002668543689320388,
1166
+ "loss": 0.4695,
1167
+ "step": 1810
1168
+ },
1169
+ {
1170
+ "epoch": 0.59,
1171
+ "learning_rate": 0.00026666019417475727,
1172
+ "loss": 0.468,
1173
+ "step": 1820
1174
+ },
1175
+ {
1176
+ "epoch": 0.59,
1177
+ "learning_rate": 0.0002664660194174757,
1178
+ "loss": 0.4492,
1179
+ "step": 1830
1180
+ },
1181
+ {
1182
+ "epoch": 0.59,
1183
+ "learning_rate": 0.00026627184466019416,
1184
+ "loss": 0.4654,
1185
+ "step": 1840
1186
+ },
1187
+ {
1188
+ "epoch": 0.59,
1189
+ "learning_rate": 0.0002660776699029126,
1190
+ "loss": 0.4909,
1191
+ "step": 1850
1192
+ },
1193
+ {
1194
+ "epoch": 0.6,
1195
+ "learning_rate": 0.00026588349514563106,
1196
+ "loss": 0.4786,
1197
+ "step": 1860
1198
+ },
1199
+ {
1200
+ "epoch": 0.6,
1201
+ "learning_rate": 0.00026568932038834953,
1202
+ "loss": 0.4633,
1203
+ "step": 1870
1204
+ },
1205
+ {
1206
+ "epoch": 0.6,
1207
+ "learning_rate": 0.00026549514563106795,
1208
+ "loss": 0.4826,
1209
+ "step": 1880
1210
+ },
1211
+ {
1212
+ "epoch": 0.61,
1213
+ "learning_rate": 0.0002653009708737864,
1214
+ "loss": 0.4644,
1215
+ "step": 1890
1216
+ },
1217
+ {
1218
+ "epoch": 0.61,
1219
+ "learning_rate": 0.00026510679611650484,
1220
+ "loss": 0.4573,
1221
+ "step": 1900
1222
+ },
1223
+ {
1224
+ "epoch": 0.61,
1225
+ "learning_rate": 0.00026491262135922326,
1226
+ "loss": 0.4402,
1227
+ "step": 1910
1228
+ },
1229
+ {
1230
+ "epoch": 0.62,
1231
+ "learning_rate": 0.00026471844660194173,
1232
+ "loss": 0.5006,
1233
+ "step": 1920
1234
+ },
1235
+ {
1236
+ "epoch": 0.62,
1237
+ "learning_rate": 0.00026452427184466015,
1238
+ "loss": 0.5296,
1239
+ "step": 1930
1240
+ },
1241
+ {
1242
+ "epoch": 0.62,
1243
+ "learning_rate": 0.0002643300970873786,
1244
+ "loss": 0.4689,
1245
+ "step": 1940
1246
+ },
1247
+ {
1248
+ "epoch": 0.63,
1249
+ "learning_rate": 0.00026413592233009704,
1250
+ "loss": 0.4728,
1251
+ "step": 1950
1252
+ },
1253
+ {
1254
+ "epoch": 0.63,
1255
+ "learning_rate": 0.0002639417475728155,
1256
+ "loss": 0.476,
1257
+ "step": 1960
1258
+ },
1259
+ {
1260
+ "epoch": 0.63,
1261
+ "learning_rate": 0.00026374757281553393,
1262
+ "loss": 0.4545,
1263
+ "step": 1970
1264
+ },
1265
+ {
1266
+ "epoch": 0.64,
1267
+ "learning_rate": 0.0002635533980582524,
1268
+ "loss": 0.47,
1269
+ "step": 1980
1270
+ },
1271
+ {
1272
+ "epoch": 0.64,
1273
+ "learning_rate": 0.0002633592233009709,
1274
+ "loss": 0.5014,
1275
+ "step": 1990
1276
+ },
1277
+ {
1278
+ "epoch": 0.64,
1279
+ "learning_rate": 0.0002631650485436893,
1280
+ "loss": 0.4726,
1281
+ "step": 2000
1282
+ },
1283
+ {
1284
+ "epoch": 0.64,
1285
+ "eval_loss": 0.4796612560749054,
1286
+ "eval_runtime": 521.7692,
1287
+ "eval_samples_per_second": 3.833,
1288
+ "eval_steps_per_second": 0.479,
1289
+ "step": 2000
1290
+ },
1291
+ {
1292
+ "epoch": 0.65,
1293
+ "learning_rate": 0.00026297087378640777,
1294
+ "loss": 0.4673,
1295
+ "step": 2010
1296
+ },
1297
+ {
1298
+ "epoch": 0.65,
1299
+ "learning_rate": 0.0002627766990291262,
1300
+ "loss": 0.4892,
1301
+ "step": 2020
1302
+ },
1303
+ {
1304
+ "epoch": 0.65,
1305
+ "learning_rate": 0.00026258252427184466,
1306
+ "loss": 0.47,
1307
+ "step": 2030
1308
+ },
1309
+ {
1310
+ "epoch": 0.66,
1311
+ "learning_rate": 0.0002623883495145631,
1312
+ "loss": 0.4532,
1313
+ "step": 2040
1314
+ },
1315
+ {
1316
+ "epoch": 0.66,
1317
+ "learning_rate": 0.0002621941747572815,
1318
+ "loss": 0.4949,
1319
+ "step": 2050
1320
+ },
1321
+ {
1322
+ "epoch": 0.66,
1323
+ "learning_rate": 0.00026199999999999997,
1324
+ "loss": 0.493,
1325
+ "step": 2060
1326
+ },
1327
+ {
1328
+ "epoch": 0.67,
1329
+ "learning_rate": 0.0002618058252427184,
1330
+ "loss": 0.4609,
1331
+ "step": 2070
1332
+ },
1333
+ {
1334
+ "epoch": 0.67,
1335
+ "learning_rate": 0.00026161165048543686,
1336
+ "loss": 0.5041,
1337
+ "step": 2080
1338
+ },
1339
+ {
1340
+ "epoch": 0.67,
1341
+ "learning_rate": 0.00026141747572815534,
1342
+ "loss": 0.4871,
1343
+ "step": 2090
1344
+ },
1345
+ {
1346
+ "epoch": 0.68,
1347
+ "learning_rate": 0.00026122330097087375,
1348
+ "loss": 0.4476,
1349
+ "step": 2100
1350
+ },
1351
+ {
1352
+ "epoch": 0.68,
1353
+ "learning_rate": 0.00026102912621359223,
1354
+ "loss": 0.4874,
1355
+ "step": 2110
1356
+ },
1357
+ {
1358
+ "epoch": 0.68,
1359
+ "learning_rate": 0.00026083495145631065,
1360
+ "loss": 0.478,
1361
+ "step": 2120
1362
+ },
1363
+ {
1364
+ "epoch": 0.68,
1365
+ "learning_rate": 0.0002606407766990291,
1366
+ "loss": 0.5009,
1367
+ "step": 2130
1368
+ },
1369
+ {
1370
+ "epoch": 0.69,
1371
+ "learning_rate": 0.00026044660194174754,
1372
+ "loss": 0.4905,
1373
+ "step": 2140
1374
+ },
1375
+ {
1376
+ "epoch": 0.69,
1377
+ "learning_rate": 0.000260252427184466,
1378
+ "loss": 0.4664,
1379
+ "step": 2150
1380
+ },
1381
+ {
1382
+ "epoch": 0.69,
1383
+ "learning_rate": 0.00026005825242718443,
1384
+ "loss": 0.4743,
1385
+ "step": 2160
1386
+ },
1387
+ {
1388
+ "epoch": 0.7,
1389
+ "learning_rate": 0.0002598640776699029,
1390
+ "loss": 0.4867,
1391
+ "step": 2170
1392
+ },
1393
+ {
1394
+ "epoch": 0.7,
1395
+ "learning_rate": 0.0002596699029126214,
1396
+ "loss": 0.4851,
1397
+ "step": 2180
1398
+ },
1399
+ {
1400
+ "epoch": 0.7,
1401
+ "learning_rate": 0.0002594757281553398,
1402
+ "loss": 0.4743,
1403
+ "step": 2190
1404
+ },
1405
+ {
1406
+ "epoch": 0.71,
1407
+ "learning_rate": 0.0002592815533980582,
1408
+ "loss": 0.5097,
1409
+ "step": 2200
1410
+ },
1411
+ {
1412
+ "epoch": 0.71,
1413
+ "eval_loss": 0.47833874821662903,
1414
+ "eval_runtime": 519.0074,
1415
+ "eval_samples_per_second": 3.854,
1416
+ "eval_steps_per_second": 0.482,
1417
+ "step": 2200
1418
+ },
1419
+ {
1420
+ "epoch": 0.71,
1421
+ "learning_rate": 0.0002590873786407767,
1422
+ "loss": 0.4953,
1423
+ "step": 2210
1424
+ },
1425
+ {
1426
+ "epoch": 0.71,
1427
+ "learning_rate": 0.0002588932038834951,
1428
+ "loss": 0.4722,
1429
+ "step": 2220
1430
+ },
1431
+ {
1432
+ "epoch": 0.72,
1433
+ "learning_rate": 0.0002586990291262136,
1434
+ "loss": 0.4592,
1435
+ "step": 2230
1436
+ },
1437
+ {
1438
+ "epoch": 0.72,
1439
+ "learning_rate": 0.000258504854368932,
1440
+ "loss": 0.4625,
1441
+ "step": 2240
1442
+ },
1443
+ {
1444
+ "epoch": 0.72,
1445
+ "learning_rate": 0.00025831067961165047,
1446
+ "loss": 0.4712,
1447
+ "step": 2250
1448
+ },
1449
+ {
1450
+ "epoch": 0.73,
1451
+ "learning_rate": 0.0002581165048543689,
1452
+ "loss": 0.4728,
1453
+ "step": 2260
1454
+ },
1455
+ {
1456
+ "epoch": 0.73,
1457
+ "learning_rate": 0.00025792233009708736,
1458
+ "loss": 0.4849,
1459
+ "step": 2270
1460
+ },
1461
+ {
1462
+ "epoch": 0.73,
1463
+ "learning_rate": 0.00025772815533980583,
1464
+ "loss": 0.4907,
1465
+ "step": 2280
1466
+ },
1467
+ {
1468
+ "epoch": 0.74,
1469
+ "learning_rate": 0.00025753398058252425,
1470
+ "loss": 0.4499,
1471
+ "step": 2290
1472
+ },
1473
+ {
1474
+ "epoch": 0.74,
1475
+ "learning_rate": 0.0002573398058252427,
1476
+ "loss": 0.4648,
1477
+ "step": 2300
1478
+ },
1479
+ {
1480
+ "epoch": 0.74,
1481
+ "learning_rate": 0.00025714563106796114,
1482
+ "loss": 0.4616,
1483
+ "step": 2310
1484
+ },
1485
+ {
1486
+ "epoch": 0.75,
1487
+ "learning_rate": 0.0002569514563106796,
1488
+ "loss": 0.4872,
1489
+ "step": 2320
1490
+ },
1491
+ {
1492
+ "epoch": 0.75,
1493
+ "learning_rate": 0.00025675728155339804,
1494
+ "loss": 0.4986,
1495
+ "step": 2330
1496
+ },
1497
+ {
1498
+ "epoch": 0.75,
1499
+ "learning_rate": 0.00025656310679611645,
1500
+ "loss": 0.4899,
1501
+ "step": 2340
1502
+ },
1503
+ {
1504
+ "epoch": 0.76,
1505
+ "learning_rate": 0.00025636893203883493,
1506
+ "loss": 0.4848,
1507
+ "step": 2350
1508
+ },
1509
+ {
1510
+ "epoch": 0.76,
1511
+ "learning_rate": 0.00025617475728155335,
1512
+ "loss": 0.4586,
1513
+ "step": 2360
1514
+ },
1515
+ {
1516
+ "epoch": 0.76,
1517
+ "learning_rate": 0.0002559805825242718,
1518
+ "loss": 0.4641,
1519
+ "step": 2370
1520
+ },
1521
+ {
1522
+ "epoch": 0.77,
1523
+ "learning_rate": 0.00025578640776699024,
1524
+ "loss": 0.4726,
1525
+ "step": 2380
1526
+ },
1527
+ {
1528
+ "epoch": 0.77,
1529
+ "learning_rate": 0.0002555922330097087,
1530
+ "loss": 0.4858,
1531
+ "step": 2390
1532
+ },
1533
+ {
1534
+ "epoch": 0.77,
1535
+ "learning_rate": 0.0002553980582524272,
1536
+ "loss": 0.4631,
1537
+ "step": 2400
1538
+ },
1539
+ {
1540
+ "epoch": 0.77,
1541
+ "eval_loss": 0.47692033648490906,
1542
+ "eval_runtime": 523.0687,
1543
+ "eval_samples_per_second": 3.824,
1544
+ "eval_steps_per_second": 0.478,
1545
+ "step": 2400
1546
+ },
1547
+ {
1548
+ "epoch": 0.77,
1549
+ "learning_rate": 0.0002552038834951456,
1550
+ "loss": 0.4537,
1551
+ "step": 2410
1552
+ },
1553
+ {
1554
+ "epoch": 0.78,
1555
+ "learning_rate": 0.0002550097087378641,
1556
+ "loss": 0.5043,
1557
+ "step": 2420
1558
+ },
1559
+ {
1560
+ "epoch": 0.78,
1561
+ "learning_rate": 0.0002548155339805825,
1562
+ "loss": 0.4889,
1563
+ "step": 2430
1564
+ },
1565
+ {
1566
+ "epoch": 0.78,
1567
+ "learning_rate": 0.00025462135922330097,
1568
+ "loss": 0.4713,
1569
+ "step": 2440
1570
+ },
1571
+ {
1572
+ "epoch": 0.79,
1573
+ "learning_rate": 0.0002544271844660194,
1574
+ "loss": 0.4593,
1575
+ "step": 2450
1576
+ },
1577
+ {
1578
+ "epoch": 0.79,
1579
+ "learning_rate": 0.00025423300970873786,
1580
+ "loss": 0.4617,
1581
+ "step": 2460
1582
+ },
1583
+ {
1584
+ "epoch": 0.79,
1585
+ "learning_rate": 0.0002540388349514563,
1586
+ "loss": 0.4587,
1587
+ "step": 2470
1588
+ },
1589
+ {
1590
+ "epoch": 0.8,
1591
+ "learning_rate": 0.0002538446601941747,
1592
+ "loss": 0.4471,
1593
+ "step": 2480
1594
+ },
1595
+ {
1596
+ "epoch": 0.8,
1597
+ "learning_rate": 0.00025365048543689317,
1598
+ "loss": 0.4732,
1599
+ "step": 2490
1600
+ },
1601
+ {
1602
+ "epoch": 0.8,
1603
+ "learning_rate": 0.00025345631067961164,
1604
+ "loss": 0.4999,
1605
+ "step": 2500
1606
+ },
1607
+ {
1608
+ "epoch": 0.81,
1609
+ "learning_rate": 0.00025326213592233006,
1610
+ "loss": 0.4736,
1611
+ "step": 2510
1612
+ },
1613
+ {
1614
+ "epoch": 0.81,
1615
+ "learning_rate": 0.00025306796116504853,
1616
+ "loss": 0.4893,
1617
+ "step": 2520
1618
+ },
1619
+ {
1620
+ "epoch": 0.81,
1621
+ "learning_rate": 0.00025287378640776695,
1622
+ "loss": 0.476,
1623
+ "step": 2530
1624
+ },
1625
+ {
1626
+ "epoch": 0.82,
1627
+ "learning_rate": 0.0002526796116504854,
1628
+ "loss": 0.4713,
1629
+ "step": 2540
1630
+ },
1631
+ {
1632
+ "epoch": 0.82,
1633
+ "learning_rate": 0.00025248543689320384,
1634
+ "loss": 0.4982,
1635
+ "step": 2550
1636
+ },
1637
+ {
1638
+ "epoch": 0.82,
1639
+ "learning_rate": 0.0002522912621359223,
1640
+ "loss": 0.4694,
1641
+ "step": 2560
1642
+ },
1643
+ {
1644
+ "epoch": 0.83,
1645
+ "learning_rate": 0.00025209708737864074,
1646
+ "loss": 0.4822,
1647
+ "step": 2570
1648
+ },
1649
+ {
1650
+ "epoch": 0.83,
1651
+ "learning_rate": 0.0002519029126213592,
1652
+ "loss": 0.4657,
1653
+ "step": 2580
1654
+ },
1655
+ {
1656
+ "epoch": 0.83,
1657
+ "learning_rate": 0.0002517087378640777,
1658
+ "loss": 0.4796,
1659
+ "step": 2590
1660
+ },
1661
+ {
1662
+ "epoch": 0.84,
1663
+ "learning_rate": 0.0002515145631067961,
1664
+ "loss": 0.4606,
1665
+ "step": 2600
1666
+ },
1667
+ {
1668
+ "epoch": 0.84,
1669
+ "eval_loss": 0.4760785698890686,
1670
+ "eval_runtime": 515.4107,
1671
+ "eval_samples_per_second": 3.88,
1672
+ "eval_steps_per_second": 0.485,
1673
+ "step": 2600
1674
+ },
1675
+ {
1676
+ "epoch": 0.84,
1677
+ "learning_rate": 0.0002513203883495146,
1678
+ "loss": 0.4735,
1679
+ "step": 2610
1680
+ },
1681
+ {
1682
+ "epoch": 0.84,
1683
+ "learning_rate": 0.000251126213592233,
1684
+ "loss": 0.4597,
1685
+ "step": 2620
1686
+ },
1687
+ {
1688
+ "epoch": 0.85,
1689
+ "learning_rate": 0.0002509320388349514,
1690
+ "loss": 0.4722,
1691
+ "step": 2630
1692
+ },
1693
+ {
1694
+ "epoch": 0.85,
1695
+ "learning_rate": 0.0002507378640776699,
1696
+ "loss": 0.4378,
1697
+ "step": 2640
1698
+ },
1699
+ {
1700
+ "epoch": 0.85,
1701
+ "learning_rate": 0.0002505436893203883,
1702
+ "loss": 0.438,
1703
+ "step": 2650
1704
+ },
1705
+ {
1706
+ "epoch": 0.86,
1707
+ "learning_rate": 0.0002503495145631068,
1708
+ "loss": 0.4754,
1709
+ "step": 2660
1710
+ },
1711
+ {
1712
+ "epoch": 0.86,
1713
+ "learning_rate": 0.0002501553398058252,
1714
+ "loss": 0.4753,
1715
+ "step": 2670
1716
+ },
1717
+ {
1718
+ "epoch": 0.86,
1719
+ "learning_rate": 0.00024996116504854367,
1720
+ "loss": 0.4605,
1721
+ "step": 2680
1722
+ },
1723
+ {
1724
+ "epoch": 0.86,
1725
+ "learning_rate": 0.00024976699029126214,
1726
+ "loss": 0.4981,
1727
+ "step": 2690
1728
+ },
1729
+ {
1730
+ "epoch": 0.87,
1731
+ "learning_rate": 0.00024957281553398056,
1732
+ "loss": 0.4848,
1733
+ "step": 2700
1734
+ },
1735
+ {
1736
+ "epoch": 0.87,
1737
+ "learning_rate": 0.00024937864077669903,
1738
+ "loss": 0.4493,
1739
+ "step": 2710
1740
+ },
1741
+ {
1742
+ "epoch": 0.87,
1743
+ "learning_rate": 0.00024918446601941745,
1744
+ "loss": 0.4865,
1745
+ "step": 2720
1746
+ },
1747
+ {
1748
+ "epoch": 0.88,
1749
+ "learning_rate": 0.0002489902912621359,
1750
+ "loss": 0.4728,
1751
+ "step": 2730
1752
+ },
1753
+ {
1754
+ "epoch": 0.88,
1755
+ "learning_rate": 0.00024879611650485434,
1756
+ "loss": 0.4769,
1757
+ "step": 2740
1758
+ },
1759
+ {
1760
+ "epoch": 0.88,
1761
+ "learning_rate": 0.0002486019417475728,
1762
+ "loss": 0.4817,
1763
+ "step": 2750
1764
+ },
1765
+ {
1766
+ "epoch": 0.89,
1767
+ "learning_rate": 0.00024840776699029123,
1768
+ "loss": 0.4685,
1769
+ "step": 2760
1770
+ },
1771
+ {
1772
+ "epoch": 0.89,
1773
+ "learning_rate": 0.00024821359223300965,
1774
+ "loss": 0.4718,
1775
+ "step": 2770
1776
+ },
1777
+ {
1778
+ "epoch": 0.89,
1779
+ "learning_rate": 0.0002480194174757281,
1780
+ "loss": 0.4627,
1781
+ "step": 2780
1782
+ },
1783
+ {
1784
+ "epoch": 0.9,
1785
+ "learning_rate": 0.00024782524271844654,
1786
+ "loss": 0.4779,
1787
+ "step": 2790
1788
+ },
1789
+ {
1790
+ "epoch": 0.9,
1791
+ "learning_rate": 0.000247631067961165,
1792
+ "loss": 0.4673,
1793
+ "step": 2800
1794
+ },
1795
+ {
1796
+ "epoch": 0.9,
1797
+ "eval_loss": 0.47458600997924805,
1798
+ "eval_runtime": 513.2712,
1799
+ "eval_samples_per_second": 3.897,
1800
+ "eval_steps_per_second": 0.487,
1801
+ "step": 2800
1802
+ },
1803
+ {
1804
+ "epoch": 0.9,
1805
+ "learning_rate": 0.0002474368932038835,
1806
+ "loss": 0.4714,
1807
+ "step": 2810
1808
+ },
1809
+ {
1810
+ "epoch": 0.91,
1811
+ "learning_rate": 0.0002472427184466019,
1812
+ "loss": 0.5071,
1813
+ "step": 2820
1814
+ },
1815
+ {
1816
+ "epoch": 0.91,
1817
+ "learning_rate": 0.0002470485436893204,
1818
+ "loss": 0.478,
1819
+ "step": 2830
1820
+ },
1821
+ {
1822
+ "epoch": 0.91,
1823
+ "learning_rate": 0.0002468543689320388,
1824
+ "loss": 0.4769,
1825
+ "step": 2840
1826
+ },
1827
+ {
1828
+ "epoch": 0.92,
1829
+ "learning_rate": 0.0002466601941747573,
1830
+ "loss": 0.4871,
1831
+ "step": 2850
1832
+ },
1833
+ {
1834
+ "epoch": 0.92,
1835
+ "learning_rate": 0.0002464660194174757,
1836
+ "loss": 0.5094,
1837
+ "step": 2860
1838
+ },
1839
+ {
1840
+ "epoch": 0.92,
1841
+ "learning_rate": 0.00024627184466019417,
1842
+ "loss": 0.4551,
1843
+ "step": 2870
1844
+ },
1845
+ {
1846
+ "epoch": 0.93,
1847
+ "learning_rate": 0.0002460776699029126,
1848
+ "loss": 0.4891,
1849
+ "step": 2880
1850
+ },
1851
+ {
1852
+ "epoch": 0.93,
1853
+ "learning_rate": 0.00024588349514563106,
1854
+ "loss": 0.4588,
1855
+ "step": 2890
1856
+ },
1857
+ {
1858
+ "epoch": 0.93,
1859
+ "learning_rate": 0.00024568932038834953,
1860
+ "loss": 0.4609,
1861
+ "step": 2900
1862
+ },
1863
+ {
1864
+ "epoch": 0.94,
1865
+ "learning_rate": 0.00024549514563106795,
1866
+ "loss": 0.4792,
1867
+ "step": 2910
1868
+ },
1869
+ {
1870
+ "epoch": 0.94,
1871
+ "learning_rate": 0.00024530097087378637,
1872
+ "loss": 0.4758,
1873
+ "step": 2920
1874
+ },
1875
+ {
1876
+ "epoch": 0.94,
1877
+ "learning_rate": 0.00024510679611650484,
1878
+ "loss": 0.5096,
1879
+ "step": 2930
1880
+ },
1881
+ {
1882
+ "epoch": 0.95,
1883
+ "learning_rate": 0.00024491262135922326,
1884
+ "loss": 0.4798,
1885
+ "step": 2940
1886
+ },
1887
+ {
1888
+ "epoch": 0.95,
1889
+ "learning_rate": 0.00024471844660194173,
1890
+ "loss": 0.4777,
1891
+ "step": 2950
1892
+ },
1893
+ {
1894
+ "epoch": 0.95,
1895
+ "learning_rate": 0.00024452427184466015,
1896
+ "loss": 0.4827,
1897
+ "step": 2960
1898
+ },
1899
+ {
1900
+ "epoch": 0.95,
1901
+ "learning_rate": 0.0002443300970873786,
1902
+ "loss": 0.4713,
1903
+ "step": 2970
1904
+ },
1905
+ {
1906
+ "epoch": 0.96,
1907
+ "learning_rate": 0.00024413592233009707,
1908
+ "loss": 0.4716,
1909
+ "step": 2980
1910
+ },
1911
+ {
1912
+ "epoch": 0.96,
1913
+ "learning_rate": 0.00024394174757281552,
1914
+ "loss": 0.4644,
1915
+ "step": 2990
1916
+ },
1917
+ {
1918
+ "epoch": 0.96,
1919
+ "learning_rate": 0.00024374757281553396,
1920
+ "loss": 0.4695,
1921
+ "step": 3000
1922
+ },
1923
+ {
1924
+ "epoch": 0.96,
1925
+ "eval_loss": 0.4740288257598877,
1926
+ "eval_runtime": 514.5469,
1927
+ "eval_samples_per_second": 3.887,
1928
+ "eval_steps_per_second": 0.486,
1929
+ "step": 3000
1930
+ },
1931
+ {
1932
+ "epoch": 0.97,
1933
+ "learning_rate": 0.0002435533980582524,
1934
+ "loss": 0.4763,
1935
+ "step": 3010
1936
+ },
1937
+ {
1938
+ "epoch": 0.97,
1939
+ "learning_rate": 0.00024335922330097085,
1940
+ "loss": 0.4761,
1941
+ "step": 3020
1942
+ },
1943
+ {
1944
+ "epoch": 0.97,
1945
+ "learning_rate": 0.0002431650485436893,
1946
+ "loss": 0.4926,
1947
+ "step": 3030
1948
+ },
1949
+ {
1950
+ "epoch": 0.98,
1951
+ "learning_rate": 0.00024297087378640777,
1952
+ "loss": 0.4571,
1953
+ "step": 3040
1954
+ },
1955
+ {
1956
+ "epoch": 0.98,
1957
+ "learning_rate": 0.00024277669902912616,
1958
+ "loss": 0.4774,
1959
+ "step": 3050
1960
+ },
1961
+ {
1962
+ "epoch": 0.98,
1963
+ "learning_rate": 0.00024258252427184464,
1964
+ "loss": 0.4651,
1965
+ "step": 3060
1966
+ },
1967
+ {
1968
+ "epoch": 0.99,
1969
+ "learning_rate": 0.00024238834951456308,
1970
+ "loss": 0.4816,
1971
+ "step": 3070
1972
+ },
1973
+ {
1974
+ "epoch": 0.99,
1975
+ "learning_rate": 0.00024219417475728153,
1976
+ "loss": 0.4713,
1977
+ "step": 3080
1978
+ },
1979
+ {
1980
+ "epoch": 0.99,
1981
+ "learning_rate": 0.00024199999999999997,
1982
+ "loss": 0.503,
1983
+ "step": 3090
1984
+ },
1985
+ {
1986
+ "epoch": 1.0,
1987
+ "learning_rate": 0.00024180582524271842,
1988
+ "loss": 0.5096,
1989
+ "step": 3100
1990
+ },
1991
+ {
1992
+ "epoch": 1.0,
1993
+ "learning_rate": 0.00024161165048543687,
1994
+ "loss": 0.4786,
1995
+ "step": 3110
1996
+ },
1997
+ {
1998
+ "epoch": 1.0,
1999
+ "learning_rate": 0.0002414174757281553,
2000
+ "loss": 0.4194,
2001
+ "step": 3120
2002
+ },
2003
+ {
2004
+ "epoch": 1.01,
2005
+ "learning_rate": 0.00024122330097087376,
2006
+ "loss": 0.4373,
2007
+ "step": 3130
2008
+ },
2009
+ {
2010
+ "epoch": 1.01,
2011
+ "learning_rate": 0.00024102912621359223,
2012
+ "loss": 0.4531,
2013
+ "step": 3140
2014
+ },
2015
+ {
2016
+ "epoch": 1.01,
2017
+ "learning_rate": 0.00024083495145631068,
2018
+ "loss": 0.4706,
2019
+ "step": 3150
2020
+ },
2021
+ {
2022
+ "epoch": 1.02,
2023
+ "learning_rate": 0.00024064077669902912,
2024
+ "loss": 0.4283,
2025
+ "step": 3160
2026
+ },
2027
+ {
2028
+ "epoch": 1.02,
2029
+ "learning_rate": 0.00024044660194174757,
2030
+ "loss": 0.4589,
2031
+ "step": 3170
2032
+ },
2033
+ {
2034
+ "epoch": 1.02,
2035
+ "learning_rate": 0.000240252427184466,
2036
+ "loss": 0.4506,
2037
+ "step": 3180
2038
+ },
2039
+ {
2040
+ "epoch": 1.03,
2041
+ "learning_rate": 0.00024005825242718446,
2042
+ "loss": 0.4305,
2043
+ "step": 3190
2044
+ },
2045
+ {
2046
+ "epoch": 1.03,
2047
+ "learning_rate": 0.00023986407766990288,
2048
+ "loss": 0.451,
2049
+ "step": 3200
2050
+ },
2051
+ {
2052
+ "epoch": 1.03,
2053
+ "eval_loss": 0.4739780128002167,
2054
+ "eval_runtime": 520.0007,
2055
+ "eval_samples_per_second": 3.846,
2056
+ "eval_steps_per_second": 0.481,
2057
+ "step": 3200
2058
+ },
2059
+ {
2060
+ "epoch": 1.03,
2061
+ "learning_rate": 0.00023966990291262132,
2062
+ "loss": 0.4354,
2063
+ "step": 3210
2064
+ },
2065
+ {
2066
+ "epoch": 1.04,
2067
+ "learning_rate": 0.00023947572815533977,
2068
+ "loss": 0.4396,
2069
+ "step": 3220
2070
+ },
2071
+ {
2072
+ "epoch": 1.04,
2073
+ "learning_rate": 0.00023928155339805821,
2074
+ "loss": 0.423,
2075
+ "step": 3230
2076
+ },
2077
+ {
2078
+ "epoch": 1.04,
2079
+ "learning_rate": 0.00023908737864077666,
2080
+ "loss": 0.4737,
2081
+ "step": 3240
2082
+ },
2083
+ {
2084
+ "epoch": 1.05,
2085
+ "learning_rate": 0.00023889320388349513,
2086
+ "loss": 0.4466,
2087
+ "step": 3250
2088
+ },
2089
+ {
2090
+ "epoch": 1.05,
2091
+ "learning_rate": 0.00023869902912621358,
2092
+ "loss": 0.4624,
2093
+ "step": 3260
2094
+ },
2095
+ {
2096
+ "epoch": 1.05,
2097
+ "learning_rate": 0.00023850485436893203,
2098
+ "loss": 0.455,
2099
+ "step": 3270
2100
+ },
2101
+ {
2102
+ "epoch": 1.05,
2103
+ "learning_rate": 0.00023831067961165047,
2104
+ "loss": 0.4699,
2105
+ "step": 3280
2106
+ },
2107
+ {
2108
+ "epoch": 1.06,
2109
+ "learning_rate": 0.00023811650485436892,
2110
+ "loss": 0.4218,
2111
+ "step": 3290
2112
+ },
2113
+ {
2114
+ "epoch": 1.06,
2115
+ "learning_rate": 0.00023792233009708736,
2116
+ "loss": 0.4495,
2117
+ "step": 3300
2118
+ },
2119
+ {
2120
+ "epoch": 1.06,
2121
+ "learning_rate": 0.0002377281553398058,
2122
+ "loss": 0.4738,
2123
+ "step": 3310
2124
+ },
2125
+ {
2126
+ "epoch": 1.07,
2127
+ "learning_rate": 0.00023753398058252425,
2128
+ "loss": 0.4574,
2129
+ "step": 3320
2130
+ },
2131
+ {
2132
+ "epoch": 1.07,
2133
+ "learning_rate": 0.0002373398058252427,
2134
+ "loss": 0.4699,
2135
+ "step": 3330
2136
+ },
2137
+ {
2138
+ "epoch": 1.07,
2139
+ "learning_rate": 0.00023714563106796112,
2140
+ "loss": 0.454,
2141
+ "step": 3340
2142
+ },
2143
+ {
2144
+ "epoch": 1.08,
2145
+ "learning_rate": 0.00023695145631067956,
2146
+ "loss": 0.463,
2147
+ "step": 3350
2148
+ },
2149
+ {
2150
+ "epoch": 1.08,
2151
+ "learning_rate": 0.00023675728155339804,
2152
+ "loss": 0.4533,
2153
+ "step": 3360
2154
+ },
2155
+ {
2156
+ "epoch": 1.08,
2157
+ "learning_rate": 0.00023656310679611648,
2158
+ "loss": 0.4525,
2159
+ "step": 3370
2160
+ },
2161
+ {
2162
+ "epoch": 1.09,
2163
+ "learning_rate": 0.00023636893203883493,
2164
+ "loss": 0.4391,
2165
+ "step": 3380
2166
+ },
2167
+ {
2168
+ "epoch": 1.09,
2169
+ "learning_rate": 0.00023617475728155338,
2170
+ "loss": 0.4542,
2171
+ "step": 3390
2172
+ },
2173
+ {
2174
+ "epoch": 1.09,
2175
+ "learning_rate": 0.00023598058252427182,
2176
+ "loss": 0.4255,
2177
+ "step": 3400
2178
+ },
2179
+ {
2180
+ "epoch": 1.09,
2181
+ "eval_loss": 0.47360363602638245,
2182
+ "eval_runtime": 513.4848,
2183
+ "eval_samples_per_second": 3.895,
2184
+ "eval_steps_per_second": 0.487,
2185
+ "step": 3400
2186
+ },
2187
+ {
2188
+ "epoch": 1.1,
2189
+ "learning_rate": 0.00023578640776699027,
2190
+ "loss": 0.4341,
2191
+ "step": 3410
2192
+ },
2193
+ {
2194
+ "epoch": 1.1,
2195
+ "learning_rate": 0.0002355922330097087,
2196
+ "loss": 0.4439,
2197
+ "step": 3420
2198
+ },
2199
+ {
2200
+ "epoch": 1.1,
2201
+ "learning_rate": 0.00023539805825242716,
2202
+ "loss": 0.4512,
2203
+ "step": 3430
2204
+ },
2205
+ {
2206
+ "epoch": 1.11,
2207
+ "learning_rate": 0.0002352038834951456,
2208
+ "loss": 0.4454,
2209
+ "step": 3440
2210
+ },
2211
+ {
2212
+ "epoch": 1.11,
2213
+ "learning_rate": 0.00023500970873786408,
2214
+ "loss": 0.4621,
2215
+ "step": 3450
2216
+ },
2217
+ {
2218
+ "epoch": 1.11,
2219
+ "learning_rate": 0.00023481553398058252,
2220
+ "loss": 0.4597,
2221
+ "step": 3460
2222
+ },
2223
+ {
2224
+ "epoch": 1.12,
2225
+ "learning_rate": 0.00023462135922330097,
2226
+ "loss": 0.4546,
2227
+ "step": 3470
2228
+ },
2229
+ {
2230
+ "epoch": 1.12,
2231
+ "learning_rate": 0.00023442718446601941,
2232
+ "loss": 0.4488,
2233
+ "step": 3480
2234
+ },
2235
+ {
2236
+ "epoch": 1.12,
2237
+ "learning_rate": 0.00023423300970873783,
2238
+ "loss": 0.4553,
2239
+ "step": 3490
2240
+ },
2241
+ {
2242
+ "epoch": 1.13,
2243
+ "learning_rate": 0.00023403883495145628,
2244
+ "loss": 0.4334,
2245
+ "step": 3500
2246
+ },
2247
+ {
2248
+ "epoch": 1.13,
2249
+ "learning_rate": 0.00023384466019417473,
2250
+ "loss": 0.4609,
2251
+ "step": 3510
2252
+ },
2253
+ {
2254
+ "epoch": 1.13,
2255
+ "learning_rate": 0.00023365048543689317,
2256
+ "loss": 0.4517,
2257
+ "step": 3520
2258
+ },
2259
+ {
2260
+ "epoch": 1.14,
2261
+ "learning_rate": 0.00023345631067961162,
2262
+ "loss": 0.4627,
2263
+ "step": 3530
2264
+ },
2265
+ {
2266
+ "epoch": 1.14,
2267
+ "learning_rate": 0.00023326213592233006,
2268
+ "loss": 0.4355,
2269
+ "step": 3540
2270
+ },
2271
+ {
2272
+ "epoch": 1.14,
2273
+ "learning_rate": 0.00023306796116504854,
2274
+ "loss": 0.4451,
2275
+ "step": 3550
2276
+ },
2277
+ {
2278
+ "epoch": 1.14,
2279
+ "learning_rate": 0.00023287378640776698,
2280
+ "loss": 0.4565,
2281
+ "step": 3560
2282
+ },
2283
+ {
2284
+ "epoch": 1.15,
2285
+ "learning_rate": 0.00023267961165048543,
2286
+ "loss": 0.4652,
2287
+ "step": 3570
2288
+ },
2289
+ {
2290
+ "epoch": 1.15,
2291
+ "learning_rate": 0.00023248543689320387,
2292
+ "loss": 0.4422,
2293
+ "step": 3580
2294
+ },
2295
+ {
2296
+ "epoch": 1.15,
2297
+ "learning_rate": 0.00023229126213592232,
2298
+ "loss": 0.4361,
2299
+ "step": 3590
2300
+ },
2301
+ {
2302
+ "epoch": 1.16,
2303
+ "learning_rate": 0.00023209708737864076,
2304
+ "loss": 0.4279,
2305
+ "step": 3600
2306
+ },
2307
+ {
2308
+ "epoch": 1.16,
2309
+ "eval_loss": 0.4739069640636444,
2310
+ "eval_runtime": 517.674,
2311
+ "eval_samples_per_second": 3.863,
2312
+ "eval_steps_per_second": 0.483,
2313
+ "step": 3600
2314
+ },
2315
+ {
2316
+ "epoch": 1.16,
2317
+ "learning_rate": 0.0002319029126213592,
2318
+ "loss": 0.4432,
2319
+ "step": 3610
2320
+ },
2321
+ {
2322
+ "epoch": 1.16,
2323
+ "learning_rate": 0.00023170873786407766,
2324
+ "loss": 0.4719,
2325
+ "step": 3620
2326
+ },
2327
+ {
2328
+ "epoch": 1.17,
2329
+ "learning_rate": 0.00023151456310679608,
2330
+ "loss": 0.4603,
2331
+ "step": 3630
2332
+ },
2333
+ {
2334
+ "epoch": 1.17,
2335
+ "learning_rate": 0.00023132038834951452,
2336
+ "loss": 0.4878,
2337
+ "step": 3640
2338
+ },
2339
+ {
2340
+ "epoch": 1.17,
2341
+ "learning_rate": 0.00023112621359223297,
2342
+ "loss": 0.4439,
2343
+ "step": 3650
2344
+ },
2345
+ {
2346
+ "epoch": 1.18,
2347
+ "learning_rate": 0.00023093203883495144,
2348
+ "loss": 0.4301,
2349
+ "step": 3660
2350
+ },
2351
+ {
2352
+ "epoch": 1.18,
2353
+ "learning_rate": 0.00023073786407766989,
2354
+ "loss": 0.4362,
2355
+ "step": 3670
2356
+ },
2357
+ {
2358
+ "epoch": 1.18,
2359
+ "learning_rate": 0.00023054368932038833,
2360
+ "loss": 0.4612,
2361
+ "step": 3680
2362
+ },
2363
+ {
2364
+ "epoch": 1.19,
2365
+ "learning_rate": 0.00023034951456310678,
2366
+ "loss": 0.4681,
2367
+ "step": 3690
2368
+ },
2369
+ {
2370
+ "epoch": 1.19,
2371
+ "learning_rate": 0.00023015533980582522,
2372
+ "loss": 0.4303,
2373
+ "step": 3700
2374
+ },
2375
+ {
2376
+ "epoch": 1.19,
2377
+ "learning_rate": 0.00022996116504854367,
2378
+ "loss": 0.4663,
2379
+ "step": 3710
2380
+ },
2381
+ {
2382
+ "epoch": 1.2,
2383
+ "learning_rate": 0.00022976699029126211,
2384
+ "loss": 0.4523,
2385
+ "step": 3720
2386
+ },
2387
+ {
2388
+ "epoch": 1.2,
2389
+ "learning_rate": 0.00022957281553398056,
2390
+ "loss": 0.4478,
2391
+ "step": 3730
2392
+ },
2393
+ {
2394
+ "epoch": 1.2,
2395
+ "learning_rate": 0.000229378640776699,
2396
+ "loss": 0.4428,
2397
+ "step": 3740
2398
+ },
2399
+ {
2400
+ "epoch": 1.21,
2401
+ "learning_rate": 0.00022918446601941748,
2402
+ "loss": 0.4427,
2403
+ "step": 3750
2404
+ },
2405
+ {
2406
+ "epoch": 1.21,
2407
+ "learning_rate": 0.00022899029126213593,
2408
+ "loss": 0.4247,
2409
+ "step": 3760
2410
+ },
2411
+ {
2412
+ "epoch": 1.21,
2413
+ "learning_rate": 0.00022879611650485437,
2414
+ "loss": 0.4431,
2415
+ "step": 3770
2416
+ },
2417
+ {
2418
+ "epoch": 1.22,
2419
+ "learning_rate": 0.0002286019417475728,
2420
+ "loss": 0.466,
2421
+ "step": 3780
2422
+ },
2423
+ {
2424
+ "epoch": 1.22,
2425
+ "learning_rate": 0.00022840776699029124,
2426
+ "loss": 0.4704,
2427
+ "step": 3790
2428
+ },
2429
+ {
2430
+ "epoch": 1.22,
2431
+ "learning_rate": 0.00022821359223300968,
2432
+ "loss": 0.4698,
2433
+ "step": 3800
2434
+ },
2435
+ {
2436
+ "epoch": 1.22,
2437
+ "eval_loss": 0.4726303517818451,
2438
+ "eval_runtime": 519.452,
2439
+ "eval_samples_per_second": 3.85,
2440
+ "eval_steps_per_second": 0.481,
2441
+ "step": 3800
2442
+ },
2443
+ {
2444
+ "epoch": 1.23,
2445
+ "learning_rate": 0.00022801941747572813,
2446
+ "loss": 0.4643,
2447
+ "step": 3810
2448
+ },
2449
+ {
2450
+ "epoch": 1.23,
2451
+ "learning_rate": 0.00022782524271844657,
2452
+ "loss": 0.4357,
2453
+ "step": 3820
2454
+ },
2455
+ {
2456
+ "epoch": 1.23,
2457
+ "learning_rate": 0.00022763106796116502,
2458
+ "loss": 0.4749,
2459
+ "step": 3830
2460
+ },
2461
+ {
2462
+ "epoch": 1.23,
2463
+ "learning_rate": 0.00022743689320388346,
2464
+ "loss": 0.428,
2465
+ "step": 3840
2466
+ },
2467
+ {
2468
+ "epoch": 1.24,
2469
+ "learning_rate": 0.0002272427184466019,
2470
+ "loss": 0.4705,
2471
+ "step": 3850
2472
+ },
2473
+ {
2474
+ "epoch": 1.24,
2475
+ "learning_rate": 0.00022704854368932038,
2476
+ "loss": 0.4448,
2477
+ "step": 3860
2478
+ },
2479
+ {
2480
+ "epoch": 1.24,
2481
+ "learning_rate": 0.00022685436893203883,
2482
+ "loss": 0.4613,
2483
+ "step": 3870
2484
+ },
2485
+ {
2486
+ "epoch": 1.25,
2487
+ "learning_rate": 0.00022666019417475728,
2488
+ "loss": 0.4643,
2489
+ "step": 3880
2490
+ },
2491
+ {
2492
+ "epoch": 1.25,
2493
+ "learning_rate": 0.00022646601941747572,
2494
+ "loss": 0.4416,
2495
+ "step": 3890
2496
+ },
2497
+ {
2498
+ "epoch": 1.25,
2499
+ "learning_rate": 0.00022627184466019417,
2500
+ "loss": 0.4494,
2501
+ "step": 3900
2502
+ },
2503
+ {
2504
+ "epoch": 1.26,
2505
+ "learning_rate": 0.0002260776699029126,
2506
+ "loss": 0.4343,
2507
+ "step": 3910
2508
+ },
2509
+ {
2510
+ "epoch": 1.26,
2511
+ "learning_rate": 0.00022588349514563103,
2512
+ "loss": 0.4322,
2513
+ "step": 3920
2514
+ },
2515
+ {
2516
+ "epoch": 1.26,
2517
+ "learning_rate": 0.00022568932038834948,
2518
+ "loss": 0.454,
2519
+ "step": 3930
2520
+ },
2521
+ {
2522
+ "epoch": 1.27,
2523
+ "learning_rate": 0.00022549514563106792,
2524
+ "loss": 0.4432,
2525
+ "step": 3940
2526
+ },
2527
+ {
2528
+ "epoch": 1.27,
2529
+ "learning_rate": 0.00022530097087378637,
2530
+ "loss": 0.4393,
2531
+ "step": 3950
2532
+ },
2533
+ {
2534
+ "epoch": 1.27,
2535
+ "learning_rate": 0.00022510679611650484,
2536
+ "loss": 0.4438,
2537
+ "step": 3960
2538
+ },
2539
+ {
2540
+ "epoch": 1.28,
2541
+ "learning_rate": 0.0002249126213592233,
2542
+ "loss": 0.4144,
2543
+ "step": 3970
2544
+ },
2545
+ {
2546
+ "epoch": 1.28,
2547
+ "learning_rate": 0.00022471844660194173,
2548
+ "loss": 0.4304,
2549
+ "step": 3980
2550
+ },
2551
+ {
2552
+ "epoch": 1.28,
2553
+ "learning_rate": 0.00022452427184466018,
2554
+ "loss": 0.454,
2555
+ "step": 3990
2556
+ },
2557
+ {
2558
+ "epoch": 1.29,
2559
+ "learning_rate": 0.00022433009708737863,
2560
+ "loss": 0.4663,
2561
+ "step": 4000
2562
+ },
2563
+ {
2564
+ "epoch": 1.29,
2565
+ "eval_loss": 0.4728265702724457,
2566
+ "eval_runtime": 520.4674,
2567
+ "eval_samples_per_second": 3.843,
2568
+ "eval_steps_per_second": 0.48,
2569
+ "step": 4000
2570
+ },
2571
+ {
2572
+ "epoch": 1.29,
2573
+ "learning_rate": 0.00022413592233009707,
2574
+ "loss": 0.4803,
2575
+ "step": 4010
2576
+ },
2577
+ {
2578
+ "epoch": 1.29,
2579
+ "learning_rate": 0.00022394174757281552,
2580
+ "loss": 0.4528,
2581
+ "step": 4020
2582
+ },
2583
+ {
2584
+ "epoch": 1.3,
2585
+ "learning_rate": 0.00022374757281553396,
2586
+ "loss": 0.4333,
2587
+ "step": 4030
2588
+ },
2589
+ {
2590
+ "epoch": 1.3,
2591
+ "learning_rate": 0.0002235533980582524,
2592
+ "loss": 0.4548,
2593
+ "step": 4040
2594
+ },
2595
+ {
2596
+ "epoch": 1.3,
2597
+ "learning_rate": 0.00022335922330097088,
2598
+ "loss": 0.4533,
2599
+ "step": 4050
2600
+ },
2601
+ {
2602
+ "epoch": 1.31,
2603
+ "learning_rate": 0.00022316504854368927,
2604
+ "loss": 0.4269,
2605
+ "step": 4060
2606
+ },
2607
+ {
2608
+ "epoch": 1.31,
2609
+ "learning_rate": 0.00022297087378640775,
2610
+ "loss": 0.4489,
2611
+ "step": 4070
2612
+ },
2613
+ {
2614
+ "epoch": 1.31,
2615
+ "learning_rate": 0.0002227766990291262,
2616
+ "loss": 0.4581,
2617
+ "step": 4080
2618
+ },
2619
+ {
2620
+ "epoch": 1.32,
2621
+ "learning_rate": 0.00022258252427184464,
2622
+ "loss": 0.4474,
2623
+ "step": 4090
2624
+ },
2625
+ {
2626
+ "epoch": 1.32,
2627
+ "learning_rate": 0.00022238834951456308,
2628
+ "loss": 0.4498,
2629
+ "step": 4100
2630
+ },
2631
+ {
2632
+ "epoch": 1.32,
2633
+ "learning_rate": 0.00022219417475728153,
2634
+ "loss": 0.4737,
2635
+ "step": 4110
2636
+ },
2637
+ {
2638
+ "epoch": 1.32,
2639
+ "learning_rate": 0.00022199999999999998,
2640
+ "loss": 0.4412,
2641
+ "step": 4120
2642
+ },
2643
+ {
2644
+ "epoch": 1.33,
2645
+ "learning_rate": 0.00022180582524271842,
2646
+ "loss": 0.4365,
2647
+ "step": 4130
2648
+ },
2649
+ {
2650
+ "epoch": 1.33,
2651
+ "learning_rate": 0.00022161165048543687,
2652
+ "loss": 0.4266,
2653
+ "step": 4140
2654
+ },
2655
+ {
2656
+ "epoch": 1.33,
2657
+ "learning_rate": 0.0002214174757281553,
2658
+ "loss": 0.4492,
2659
+ "step": 4150
2660
+ },
2661
+ {
2662
+ "epoch": 1.34,
2663
+ "learning_rate": 0.00022122330097087379,
2664
+ "loss": 0.4472,
2665
+ "step": 4160
2666
+ },
2667
+ {
2668
+ "epoch": 1.34,
2669
+ "learning_rate": 0.00022102912621359223,
2670
+ "loss": 0.4137,
2671
+ "step": 4170
2672
+ },
2673
+ {
2674
+ "epoch": 1.34,
2675
+ "learning_rate": 0.00022083495145631068,
2676
+ "loss": 0.4497,
2677
+ "step": 4180
2678
+ },
2679
+ {
2680
+ "epoch": 1.35,
2681
+ "learning_rate": 0.00022064077669902912,
2682
+ "loss": 0.4324,
2683
+ "step": 4190
2684
+ },
2685
+ {
2686
+ "epoch": 1.35,
2687
+ "learning_rate": 0.00022044660194174757,
2688
+ "loss": 0.4332,
2689
+ "step": 4200
2690
+ },
2691
+ {
2692
+ "epoch": 1.35,
2693
+ "eval_loss": 0.471797376871109,
2694
+ "eval_runtime": 518.6631,
2695
+ "eval_samples_per_second": 3.856,
2696
+ "eval_steps_per_second": 0.482,
2697
+ "step": 4200
2698
+ },
2699
+ {
2700
+ "epoch": 1.35,
2701
+ "learning_rate": 0.000220252427184466,
2702
+ "loss": 0.452,
2703
+ "step": 4210
2704
+ },
2705
+ {
2706
+ "epoch": 1.36,
2707
+ "learning_rate": 0.00022005825242718443,
2708
+ "loss": 0.4372,
2709
+ "step": 4220
2710
+ },
2711
+ {
2712
+ "epoch": 1.36,
2713
+ "learning_rate": 0.00021986407766990288,
2714
+ "loss": 0.4346,
2715
+ "step": 4230
2716
+ },
2717
+ {
2718
+ "epoch": 1.36,
2719
+ "learning_rate": 0.00021966990291262133,
2720
+ "loss": 0.4511,
2721
+ "step": 4240
2722
+ },
2723
+ {
2724
+ "epoch": 1.37,
2725
+ "learning_rate": 0.00021947572815533977,
2726
+ "loss": 0.4594,
2727
+ "step": 4250
2728
+ },
2729
+ {
2730
+ "epoch": 1.37,
2731
+ "learning_rate": 0.00021928155339805822,
2732
+ "loss": 0.4655,
2733
+ "step": 4260
2734
+ },
2735
+ {
2736
+ "epoch": 1.37,
2737
+ "learning_rate": 0.0002190873786407767,
2738
+ "loss": 0.4613,
2739
+ "step": 4270
2740
+ },
2741
+ {
2742
+ "epoch": 1.38,
2743
+ "learning_rate": 0.00021889320388349514,
2744
+ "loss": 0.4436,
2745
+ "step": 4280
2746
+ },
2747
+ {
2748
+ "epoch": 1.38,
2749
+ "learning_rate": 0.00021869902912621358,
2750
+ "loss": 0.4434,
2751
+ "step": 4290
2752
+ },
2753
+ {
2754
+ "epoch": 1.38,
2755
+ "learning_rate": 0.00021850485436893203,
2756
+ "loss": 0.4554,
2757
+ "step": 4300
2758
+ },
2759
+ {
2760
+ "epoch": 1.39,
2761
+ "learning_rate": 0.00021831067961165047,
2762
+ "loss": 0.4838,
2763
+ "step": 4310
2764
+ },
2765
+ {
2766
+ "epoch": 1.39,
2767
+ "learning_rate": 0.00021811650485436892,
2768
+ "loss": 0.4451,
2769
+ "step": 4320
2770
+ },
2771
+ {
2772
+ "epoch": 1.39,
2773
+ "learning_rate": 0.00021792233009708736,
2774
+ "loss": 0.4606,
2775
+ "step": 4330
2776
+ },
2777
+ {
2778
+ "epoch": 1.4,
2779
+ "learning_rate": 0.0002177281553398058,
2780
+ "loss": 0.4239,
2781
+ "step": 4340
2782
+ },
2783
+ {
2784
+ "epoch": 1.4,
2785
+ "learning_rate": 0.00021753398058252423,
2786
+ "loss": 0.4328,
2787
+ "step": 4350
2788
+ },
2789
+ {
2790
+ "epoch": 1.4,
2791
+ "learning_rate": 0.00021733980582524268,
2792
+ "loss": 0.4712,
2793
+ "step": 4360
2794
+ },
2795
+ {
2796
+ "epoch": 1.41,
2797
+ "learning_rate": 0.00021714563106796112,
2798
+ "loss": 0.4412,
2799
+ "step": 4370
2800
+ },
2801
+ {
2802
+ "epoch": 1.41,
2803
+ "learning_rate": 0.0002169514563106796,
2804
+ "loss": 0.4629,
2805
+ "step": 4380
2806
+ },
2807
+ {
2808
+ "epoch": 1.41,
2809
+ "learning_rate": 0.00021675728155339804,
2810
+ "loss": 0.4536,
2811
+ "step": 4390
2812
+ },
2813
+ {
2814
+ "epoch": 1.41,
2815
+ "learning_rate": 0.00021656310679611649,
2816
+ "loss": 0.4208,
2817
+ "step": 4400
2818
+ },
2819
+ {
2820
+ "epoch": 1.41,
2821
+ "eval_loss": 0.4719524681568146,
2822
+ "eval_runtime": 524.6738,
2823
+ "eval_samples_per_second": 3.812,
2824
+ "eval_steps_per_second": 0.476,
2825
+ "step": 4400
2826
+ },
2827
+ {
2828
+ "epoch": 1.42,
2829
+ "learning_rate": 0.00021636893203883493,
2830
+ "loss": 0.438,
2831
+ "step": 4410
2832
+ },
2833
+ {
2834
+ "epoch": 1.42,
2835
+ "learning_rate": 0.00021617475728155338,
2836
+ "loss": 0.4399,
2837
+ "step": 4420
2838
+ },
2839
+ {
2840
+ "epoch": 1.42,
2841
+ "learning_rate": 0.00021598058252427182,
2842
+ "loss": 0.4568,
2843
+ "step": 4430
2844
+ },
2845
+ {
2846
+ "epoch": 1.43,
2847
+ "learning_rate": 0.00021578640776699027,
2848
+ "loss": 0.4695,
2849
+ "step": 4440
2850
+ },
2851
+ {
2852
+ "epoch": 1.43,
2853
+ "learning_rate": 0.00021559223300970871,
2854
+ "loss": 0.4387,
2855
+ "step": 4450
2856
+ },
2857
+ {
2858
+ "epoch": 1.43,
2859
+ "learning_rate": 0.0002153980582524272,
2860
+ "loss": 0.4466,
2861
+ "step": 4460
2862
+ },
2863
+ {
2864
+ "epoch": 1.44,
2865
+ "learning_rate": 0.00021520388349514563,
2866
+ "loss": 0.4652,
2867
+ "step": 4470
2868
+ },
2869
+ {
2870
+ "epoch": 1.44,
2871
+ "learning_rate": 0.00021500970873786408,
2872
+ "loss": 0.4155,
2873
+ "step": 4480
2874
+ },
2875
+ {
2876
+ "epoch": 1.44,
2877
+ "learning_rate": 0.00021481553398058253,
2878
+ "loss": 0.4457,
2879
+ "step": 4490
2880
+ },
2881
+ {
2882
+ "epoch": 1.45,
2883
+ "learning_rate": 0.00021462135922330094,
2884
+ "loss": 0.4349,
2885
+ "step": 4500
2886
+ },
2887
+ {
2888
+ "epoch": 1.45,
2889
+ "learning_rate": 0.0002144271844660194,
2890
+ "loss": 0.4304,
2891
+ "step": 4510
2892
+ },
2893
+ {
2894
+ "epoch": 1.45,
2895
+ "learning_rate": 0.00021423300970873784,
2896
+ "loss": 0.4222,
2897
+ "step": 4520
2898
+ },
2899
+ {
2900
+ "epoch": 1.46,
2901
+ "learning_rate": 0.00021403883495145628,
2902
+ "loss": 0.4373,
2903
+ "step": 4530
2904
+ },
2905
+ {
2906
+ "epoch": 1.46,
2907
+ "learning_rate": 0.00021384466019417473,
2908
+ "loss": 0.4526,
2909
+ "step": 4540
2910
+ },
2911
+ {
2912
+ "epoch": 1.46,
2913
+ "learning_rate": 0.00021365048543689317,
2914
+ "loss": 0.4804,
2915
+ "step": 4550
2916
+ },
2917
+ {
2918
+ "epoch": 1.47,
2919
+ "learning_rate": 0.00021345631067961162,
2920
+ "loss": 0.468,
2921
+ "step": 4560
2922
+ },
2923
+ {
2924
+ "epoch": 1.47,
2925
+ "learning_rate": 0.0002132621359223301,
2926
+ "loss": 0.4664,
2927
+ "step": 4570
2928
+ },
2929
+ {
2930
+ "epoch": 1.47,
2931
+ "learning_rate": 0.00021306796116504854,
2932
+ "loss": 0.4688,
2933
+ "step": 4580
2934
+ },
2935
+ {
2936
+ "epoch": 1.48,
2937
+ "learning_rate": 0.00021287378640776698,
2938
+ "loss": 0.4262,
2939
+ "step": 4590
2940
+ },
2941
+ {
2942
+ "epoch": 1.48,
2943
+ "learning_rate": 0.00021267961165048543,
2944
+ "loss": 0.4431,
2945
+ "step": 4600
2946
+ },
2947
+ {
2948
+ "epoch": 1.48,
2949
+ "eval_loss": 0.47054779529571533,
2950
+ "eval_runtime": 526.5834,
2951
+ "eval_samples_per_second": 3.798,
2952
+ "eval_steps_per_second": 0.475,
2953
+ "step": 4600
2954
+ },
2955
+ {
2956
+ "epoch": 1.48,
2957
+ "learning_rate": 0.00021248543689320387,
2958
+ "loss": 0.4371,
2959
+ "step": 4610
2960
+ },
2961
+ {
2962
+ "epoch": 1.49,
2963
+ "learning_rate": 0.00021229126213592232,
2964
+ "loss": 0.4555,
2965
+ "step": 4620
2966
+ },
2967
+ {
2968
+ "epoch": 1.49,
2969
+ "learning_rate": 0.00021209708737864077,
2970
+ "loss": 0.4538,
2971
+ "step": 4630
2972
+ },
2973
+ {
2974
+ "epoch": 1.49,
2975
+ "learning_rate": 0.00021190291262135919,
2976
+ "loss": 0.4501,
2977
+ "step": 4640
2978
+ },
2979
+ {
2980
+ "epoch": 1.5,
2981
+ "learning_rate": 0.00021170873786407763,
2982
+ "loss": 0.4201,
2983
+ "step": 4650
2984
+ },
2985
+ {
2986
+ "epoch": 1.5,
2987
+ "learning_rate": 0.00021151456310679608,
2988
+ "loss": 0.4346,
2989
+ "step": 4660
2990
+ },
2991
+ {
2992
+ "epoch": 1.5,
2993
+ "learning_rate": 0.00021132038834951452,
2994
+ "loss": 0.447,
2995
+ "step": 4670
2996
+ },
2997
+ {
2998
+ "epoch": 1.5,
2999
+ "learning_rate": 0.000211126213592233,
3000
+ "loss": 0.451,
3001
+ "step": 4680
3002
+ },
3003
+ {
3004
+ "epoch": 1.51,
3005
+ "learning_rate": 0.00021093203883495144,
3006
+ "loss": 0.4548,
3007
+ "step": 4690
3008
+ },
3009
+ {
3010
+ "epoch": 1.51,
3011
+ "learning_rate": 0.0002107378640776699,
3012
+ "loss": 0.4386,
3013
+ "step": 4700
3014
+ },
3015
+ {
3016
+ "epoch": 1.51,
3017
+ "learning_rate": 0.00021054368932038833,
3018
+ "loss": 0.4408,
3019
+ "step": 4710
3020
+ },
3021
+ {
3022
+ "epoch": 1.52,
3023
+ "learning_rate": 0.00021034951456310678,
3024
+ "loss": 0.467,
3025
+ "step": 4720
3026
+ },
3027
+ {
3028
+ "epoch": 1.52,
3029
+ "learning_rate": 0.00021015533980582522,
3030
+ "loss": 0.4447,
3031
+ "step": 4730
3032
+ },
3033
+ {
3034
+ "epoch": 1.52,
3035
+ "learning_rate": 0.00020996116504854367,
3036
+ "loss": 0.4566,
3037
+ "step": 4740
3038
+ },
3039
+ {
3040
+ "epoch": 1.53,
3041
+ "learning_rate": 0.00020976699029126212,
3042
+ "loss": 0.4391,
3043
+ "step": 4750
3044
+ },
3045
+ {
3046
+ "epoch": 1.53,
3047
+ "learning_rate": 0.00020957281553398056,
3048
+ "loss": 0.4547,
3049
+ "step": 4760
3050
+ },
3051
+ {
3052
+ "epoch": 1.53,
3053
+ "learning_rate": 0.00020937864077669904,
3054
+ "loss": 0.4466,
3055
+ "step": 4770
3056
+ },
3057
+ {
3058
+ "epoch": 1.54,
3059
+ "learning_rate": 0.00020918446601941748,
3060
+ "loss": 0.4368,
3061
+ "step": 4780
3062
+ },
3063
+ {
3064
+ "epoch": 1.54,
3065
+ "learning_rate": 0.0002089902912621359,
3066
+ "loss": 0.446,
3067
+ "step": 4790
3068
+ },
3069
+ {
3070
+ "epoch": 1.54,
3071
+ "learning_rate": 0.00020879611650485435,
3072
+ "loss": 0.4228,
3073
+ "step": 4800
3074
+ },
3075
+ {
3076
+ "epoch": 1.54,
3077
+ "eval_loss": 0.4704694151878357,
3078
+ "eval_runtime": 522.9734,
3079
+ "eval_samples_per_second": 3.824,
3080
+ "eval_steps_per_second": 0.478,
3081
+ "step": 4800
3082
+ },
3083
+ {
3084
+ "epoch": 1.55,
3085
+ "learning_rate": 0.0002086019417475728,
3086
+ "loss": 0.4241,
3087
+ "step": 4810
3088
+ },
3089
+ {
3090
+ "epoch": 1.55,
3091
+ "learning_rate": 0.00020840776699029124,
3092
+ "loss": 0.4635,
3093
+ "step": 4820
3094
+ },
3095
+ {
3096
+ "epoch": 1.55,
3097
+ "learning_rate": 0.00020821359223300968,
3098
+ "loss": 0.4618,
3099
+ "step": 4830
3100
+ },
3101
+ {
3102
+ "epoch": 1.56,
3103
+ "learning_rate": 0.00020801941747572813,
3104
+ "loss": 0.4364,
3105
+ "step": 4840
3106
+ },
3107
+ {
3108
+ "epoch": 1.56,
3109
+ "learning_rate": 0.00020782524271844657,
3110
+ "loss": 0.4532,
3111
+ "step": 4850
3112
+ },
3113
+ {
3114
+ "epoch": 1.56,
3115
+ "learning_rate": 0.00020763106796116502,
3116
+ "loss": 0.4522,
3117
+ "step": 4860
3118
+ },
3119
+ {
3120
+ "epoch": 1.57,
3121
+ "learning_rate": 0.0002074368932038835,
3122
+ "loss": 0.4459,
3123
+ "step": 4870
3124
+ },
3125
+ {
3126
+ "epoch": 1.57,
3127
+ "learning_rate": 0.00020724271844660194,
3128
+ "loss": 0.4599,
3129
+ "step": 4880
3130
+ },
3131
+ {
3132
+ "epoch": 1.57,
3133
+ "learning_rate": 0.00020704854368932039,
3134
+ "loss": 0.4526,
3135
+ "step": 4890
3136
+ },
3137
+ {
3138
+ "epoch": 1.58,
3139
+ "learning_rate": 0.00020685436893203883,
3140
+ "loss": 0.4497,
3141
+ "step": 4900
3142
+ },
3143
+ {
3144
+ "epoch": 1.58,
3145
+ "learning_rate": 0.00020666019417475728,
3146
+ "loss": 0.4357,
3147
+ "step": 4910
3148
+ },
3149
+ {
3150
+ "epoch": 1.58,
3151
+ "learning_rate": 0.00020646601941747572,
3152
+ "loss": 0.4353,
3153
+ "step": 4920
3154
+ },
3155
+ {
3156
+ "epoch": 1.59,
3157
+ "learning_rate": 0.00020627184466019414,
3158
+ "loss": 0.4383,
3159
+ "step": 4930
3160
+ },
3161
+ {
3162
+ "epoch": 1.59,
3163
+ "learning_rate": 0.0002060776699029126,
3164
+ "loss": 0.4654,
3165
+ "step": 4940
3166
+ },
3167
+ {
3168
+ "epoch": 1.59,
3169
+ "learning_rate": 0.00020588349514563103,
3170
+ "loss": 0.455,
3171
+ "step": 4950
3172
+ },
3173
+ {
3174
+ "epoch": 1.59,
3175
+ "learning_rate": 0.00020568932038834948,
3176
+ "loss": 0.4544,
3177
+ "step": 4960
3178
+ },
3179
+ {
3180
+ "epoch": 1.6,
3181
+ "learning_rate": 0.00020549514563106792,
3182
+ "loss": 0.4531,
3183
+ "step": 4970
3184
+ },
3185
+ {
3186
+ "epoch": 1.6,
3187
+ "learning_rate": 0.0002053009708737864,
3188
+ "loss": 0.4586,
3189
+ "step": 4980
3190
+ },
3191
+ {
3192
+ "epoch": 1.6,
3193
+ "learning_rate": 0.00020510679611650484,
3194
+ "loss": 0.4648,
3195
+ "step": 4990
3196
+ },
3197
+ {
3198
+ "epoch": 1.61,
3199
+ "learning_rate": 0.0002049126213592233,
3200
+ "loss": 0.4527,
3201
+ "step": 5000
3202
+ },
3203
+ {
3204
+ "epoch": 1.61,
3205
+ "eval_loss": 0.47035008668899536,
3206
+ "eval_runtime": 520.9438,
3207
+ "eval_samples_per_second": 3.839,
3208
+ "eval_steps_per_second": 0.48,
3209
+ "step": 5000
3210
+ },
3211
+ {
3212
+ "epoch": 1.61,
3213
+ "learning_rate": 0.00020471844660194174,
3214
+ "loss": 0.4497,
3215
+ "step": 5010
3216
+ },
3217
+ {
3218
+ "epoch": 1.61,
3219
+ "learning_rate": 0.00020452427184466018,
3220
+ "loss": 0.4321,
3221
+ "step": 5020
3222
+ },
3223
+ {
3224
+ "epoch": 1.62,
3225
+ "learning_rate": 0.00020433009708737863,
3226
+ "loss": 0.4548,
3227
+ "step": 5030
3228
+ },
3229
+ {
3230
+ "epoch": 1.62,
3231
+ "learning_rate": 0.00020413592233009707,
3232
+ "loss": 0.4687,
3233
+ "step": 5040
3234
+ },
3235
+ {
3236
+ "epoch": 1.62,
3237
+ "learning_rate": 0.00020394174757281552,
3238
+ "loss": 0.4773,
3239
+ "step": 5050
3240
+ },
3241
+ {
3242
+ "epoch": 1.63,
3243
+ "learning_rate": 0.00020374757281553396,
3244
+ "loss": 0.4692,
3245
+ "step": 5060
3246
+ },
3247
+ {
3248
+ "epoch": 1.63,
3249
+ "learning_rate": 0.00020355339805825244,
3250
+ "loss": 0.4443,
3251
+ "step": 5070
3252
+ },
3253
+ {
3254
+ "epoch": 1.63,
3255
+ "learning_rate": 0.00020335922330097083,
3256
+ "loss": 0.4751,
3257
+ "step": 5080
3258
+ },
3259
+ {
3260
+ "epoch": 1.64,
3261
+ "learning_rate": 0.0002031650485436893,
3262
+ "loss": 0.4473,
3263
+ "step": 5090
3264
+ },
3265
+ {
3266
+ "epoch": 1.64,
3267
+ "learning_rate": 0.00020297087378640775,
3268
+ "loss": 0.4551,
3269
+ "step": 5100
3270
+ },
3271
+ {
3272
+ "epoch": 1.64,
3273
+ "learning_rate": 0.0002027766990291262,
3274
+ "loss": 0.4753,
3275
+ "step": 5110
3276
+ },
3277
+ {
3278
+ "epoch": 1.65,
3279
+ "learning_rate": 0.00020258252427184464,
3280
+ "loss": 0.4325,
3281
+ "step": 5120
3282
+ },
3283
+ {
3284
+ "epoch": 1.65,
3285
+ "learning_rate": 0.00020238834951456309,
3286
+ "loss": 0.4563,
3287
+ "step": 5130
3288
+ },
3289
+ {
3290
+ "epoch": 1.65,
3291
+ "learning_rate": 0.00020219417475728153,
3292
+ "loss": 0.456,
3293
+ "step": 5140
3294
+ },
3295
+ {
3296
+ "epoch": 1.66,
3297
+ "learning_rate": 0.00020199999999999998,
3298
+ "loss": 0.4598,
3299
+ "step": 5150
3300
+ },
3301
+ {
3302
+ "epoch": 1.66,
3303
+ "learning_rate": 0.00020180582524271842,
3304
+ "loss": 0.4407,
3305
+ "step": 5160
3306
+ },
3307
+ {
3308
+ "epoch": 1.66,
3309
+ "learning_rate": 0.00020161165048543687,
3310
+ "loss": 0.4424,
3311
+ "step": 5170
3312
+ },
3313
+ {
3314
+ "epoch": 1.67,
3315
+ "learning_rate": 0.00020141747572815534,
3316
+ "loss": 0.4291,
3317
+ "step": 5180
3318
+ },
3319
+ {
3320
+ "epoch": 1.67,
3321
+ "learning_rate": 0.0002012233009708738,
3322
+ "loss": 0.4544,
3323
+ "step": 5190
3324
+ },
3325
+ {
3326
+ "epoch": 1.67,
3327
+ "learning_rate": 0.00020102912621359223,
3328
+ "loss": 0.4351,
3329
+ "step": 5200
3330
+ },
3331
+ {
3332
+ "epoch": 1.67,
3333
+ "eval_loss": 0.46933242678642273,
3334
+ "eval_runtime": 521.6481,
3335
+ "eval_samples_per_second": 3.834,
3336
+ "eval_steps_per_second": 0.479,
3337
+ "step": 5200
3338
+ },
3339
+ {
3340
+ "epoch": 1.68,
3341
+ "learning_rate": 0.00020083495145631068,
3342
+ "loss": 0.4503,
3343
+ "step": 5210
3344
+ },
3345
+ {
3346
+ "epoch": 1.68,
3347
+ "learning_rate": 0.0002006407766990291,
3348
+ "loss": 0.4352,
3349
+ "step": 5220
3350
+ },
3351
+ {
3352
+ "epoch": 1.68,
3353
+ "learning_rate": 0.00020044660194174754,
3354
+ "loss": 0.4509,
3355
+ "step": 5230
3356
+ },
3357
+ {
3358
+ "epoch": 1.68,
3359
+ "learning_rate": 0.000200252427184466,
3360
+ "loss": 0.4656,
3361
+ "step": 5240
3362
+ },
3363
+ {
3364
+ "epoch": 1.69,
3365
+ "learning_rate": 0.00020005825242718444,
3366
+ "loss": 0.4578,
3367
+ "step": 5250
3368
+ },
3369
+ {
3370
+ "epoch": 1.69,
3371
+ "learning_rate": 0.00019986407766990288,
3372
+ "loss": 0.4338,
3373
+ "step": 5260
3374
+ },
3375
+ {
3376
+ "epoch": 1.69,
3377
+ "learning_rate": 0.00019966990291262133,
3378
+ "loss": 0.4285,
3379
+ "step": 5270
3380
+ },
3381
+ {
3382
+ "epoch": 1.7,
3383
+ "learning_rate": 0.0001994757281553398,
3384
+ "loss": 0.4219,
3385
+ "step": 5280
3386
+ },
3387
+ {
3388
+ "epoch": 1.7,
3389
+ "learning_rate": 0.00019928155339805825,
3390
+ "loss": 0.4709,
3391
+ "step": 5290
3392
+ },
3393
+ {
3394
+ "epoch": 1.7,
3395
+ "learning_rate": 0.0001990873786407767,
3396
+ "loss": 0.4335,
3397
+ "step": 5300
3398
+ },
3399
+ {
3400
+ "epoch": 1.71,
3401
+ "learning_rate": 0.00019889320388349514,
3402
+ "loss": 0.421,
3403
+ "step": 5310
3404
+ },
3405
+ {
3406
+ "epoch": 1.71,
3407
+ "learning_rate": 0.00019869902912621358,
3408
+ "loss": 0.4594,
3409
+ "step": 5320
3410
+ },
3411
+ {
3412
+ "epoch": 1.71,
3413
+ "learning_rate": 0.00019850485436893203,
3414
+ "loss": 0.4361,
3415
+ "step": 5330
3416
+ },
3417
+ {
3418
+ "epoch": 1.72,
3419
+ "learning_rate": 0.00019831067961165047,
3420
+ "loss": 0.4673,
3421
+ "step": 5340
3422
+ },
3423
+ {
3424
+ "epoch": 1.72,
3425
+ "learning_rate": 0.00019811650485436892,
3426
+ "loss": 0.4499,
3427
+ "step": 5350
3428
+ },
3429
+ {
3430
+ "epoch": 1.72,
3431
+ "learning_rate": 0.00019792233009708734,
3432
+ "loss": 0.4634,
3433
+ "step": 5360
3434
+ },
3435
+ {
3436
+ "epoch": 1.73,
3437
+ "learning_rate": 0.00019772815533980579,
3438
+ "loss": 0.4267,
3439
+ "step": 5370
3440
+ },
3441
+ {
3442
+ "epoch": 1.73,
3443
+ "learning_rate": 0.00019753398058252423,
3444
+ "loss": 0.453,
3445
+ "step": 5380
3446
+ },
3447
+ {
3448
+ "epoch": 1.73,
3449
+ "learning_rate": 0.0001973398058252427,
3450
+ "loss": 0.4406,
3451
+ "step": 5390
3452
+ },
3453
+ {
3454
+ "epoch": 1.74,
3455
+ "learning_rate": 0.00019714563106796115,
3456
+ "loss": 0.4516,
3457
+ "step": 5400
3458
+ },
3459
+ {
3460
+ "epoch": 1.74,
3461
+ "eval_loss": 0.4691580832004547,
3462
+ "eval_runtime": 518.7603,
3463
+ "eval_samples_per_second": 3.855,
3464
+ "eval_steps_per_second": 0.482,
3465
+ "step": 5400
3466
+ },
3467
+ {
3468
+ "epoch": 1.74,
3469
+ "learning_rate": 0.0001969514563106796,
3470
+ "loss": 0.4744,
3471
+ "step": 5410
3472
+ },
3473
+ {
3474
+ "epoch": 1.74,
3475
+ "learning_rate": 0.00019675728155339804,
3476
+ "loss": 0.4744,
3477
+ "step": 5420
3478
+ },
3479
+ {
3480
+ "epoch": 1.75,
3481
+ "learning_rate": 0.0001965631067961165,
3482
+ "loss": 0.4546,
3483
+ "step": 5430
3484
+ },
3485
+ {
3486
+ "epoch": 1.75,
3487
+ "learning_rate": 0.00019636893203883493,
3488
+ "loss": 0.4553,
3489
+ "step": 5440
3490
+ },
3491
+ {
3492
+ "epoch": 1.75,
3493
+ "learning_rate": 0.00019617475728155338,
3494
+ "loss": 0.4562,
3495
+ "step": 5450
3496
+ },
3497
+ {
3498
+ "epoch": 1.76,
3499
+ "learning_rate": 0.00019598058252427182,
3500
+ "loss": 0.4426,
3501
+ "step": 5460
3502
+ },
3503
+ {
3504
+ "epoch": 1.76,
3505
+ "learning_rate": 0.00019578640776699027,
3506
+ "loss": 0.4425,
3507
+ "step": 5470
3508
+ },
3509
+ {
3510
+ "epoch": 1.76,
3511
+ "learning_rate": 0.00019559223300970874,
3512
+ "loss": 0.4288,
3513
+ "step": 5480
3514
+ },
3515
+ {
3516
+ "epoch": 1.77,
3517
+ "learning_rate": 0.0001953980582524272,
3518
+ "loss": 0.4413,
3519
+ "step": 5490
3520
+ },
3521
+ {
3522
+ "epoch": 1.77,
3523
+ "learning_rate": 0.00019520388349514564,
3524
+ "loss": 0.4488,
3525
+ "step": 5500
3526
+ },
3527
+ {
3528
+ "epoch": 1.77,
3529
+ "learning_rate": 0.00019500970873786405,
3530
+ "loss": 0.4461,
3531
+ "step": 5510
3532
+ },
3533
+ {
3534
+ "epoch": 1.77,
3535
+ "learning_rate": 0.0001948155339805825,
3536
+ "loss": 0.4361,
3537
+ "step": 5520
3538
+ },
3539
+ {
3540
+ "epoch": 1.78,
3541
+ "learning_rate": 0.00019462135922330095,
3542
+ "loss": 0.4146,
3543
+ "step": 5530
3544
+ },
3545
+ {
3546
+ "epoch": 1.78,
3547
+ "learning_rate": 0.0001944271844660194,
3548
+ "loss": 0.4378,
3549
+ "step": 5540
3550
+ },
3551
+ {
3552
+ "epoch": 1.78,
3553
+ "learning_rate": 0.00019423300970873784,
3554
+ "loss": 0.4375,
3555
+ "step": 5550
3556
+ },
3557
+ {
3558
+ "epoch": 1.79,
3559
+ "learning_rate": 0.00019403883495145628,
3560
+ "loss": 0.4541,
3561
+ "step": 5560
3562
+ },
3563
+ {
3564
+ "epoch": 1.79,
3565
+ "learning_rate": 0.00019384466019417473,
3566
+ "loss": 0.4228,
3567
+ "step": 5570
3568
+ },
3569
+ {
3570
+ "epoch": 1.79,
3571
+ "learning_rate": 0.00019365048543689317,
3572
+ "loss": 0.4349,
3573
+ "step": 5580
3574
+ },
3575
+ {
3576
+ "epoch": 1.8,
3577
+ "learning_rate": 0.00019345631067961165,
3578
+ "loss": 0.4401,
3579
+ "step": 5590
3580
+ },
3581
+ {
3582
+ "epoch": 1.8,
3583
+ "learning_rate": 0.0001932621359223301,
3584
+ "loss": 0.4494,
3585
+ "step": 5600
3586
+ },
3587
+ {
3588
+ "epoch": 1.8,
3589
+ "eval_loss": 0.46821147203445435,
3590
+ "eval_runtime": 516.2558,
3591
+ "eval_samples_per_second": 3.874,
3592
+ "eval_steps_per_second": 0.484,
3593
+ "step": 5600
3594
+ },
3595
+ {
3596
+ "epoch": 1.8,
3597
+ "learning_rate": 0.00019306796116504854,
3598
+ "loss": 0.4666,
3599
+ "step": 5610
3600
+ },
3601
+ {
3602
+ "epoch": 1.81,
3603
+ "learning_rate": 0.00019287378640776699,
3604
+ "loss": 0.4385,
3605
+ "step": 5620
3606
+ },
3607
+ {
3608
+ "epoch": 1.81,
3609
+ "learning_rate": 0.00019267961165048543,
3610
+ "loss": 0.4202,
3611
+ "step": 5630
3612
+ },
3613
+ {
3614
+ "epoch": 1.81,
3615
+ "learning_rate": 0.00019248543689320388,
3616
+ "loss": 0.4564,
3617
+ "step": 5640
3618
+ },
3619
+ {
3620
+ "epoch": 1.82,
3621
+ "learning_rate": 0.0001922912621359223,
3622
+ "loss": 0.4315,
3623
+ "step": 5650
3624
+ },
3625
+ {
3626
+ "epoch": 1.82,
3627
+ "learning_rate": 0.00019209708737864074,
3628
+ "loss": 0.4549,
3629
+ "step": 5660
3630
+ },
3631
+ {
3632
+ "epoch": 1.82,
3633
+ "learning_rate": 0.0001919029126213592,
3634
+ "loss": 0.4515,
3635
+ "step": 5670
3636
+ },
3637
+ {
3638
+ "epoch": 1.83,
3639
+ "learning_rate": 0.00019170873786407763,
3640
+ "loss": 0.4478,
3641
+ "step": 5680
3642
+ },
3643
+ {
3644
+ "epoch": 1.83,
3645
+ "learning_rate": 0.0001915145631067961,
3646
+ "loss": 0.4541,
3647
+ "step": 5690
3648
+ },
3649
+ {
3650
+ "epoch": 1.83,
3651
+ "learning_rate": 0.00019132038834951455,
3652
+ "loss": 0.4282,
3653
+ "step": 5700
3654
+ },
3655
+ {
3656
+ "epoch": 1.84,
3657
+ "learning_rate": 0.000191126213592233,
3658
+ "loss": 0.4333,
3659
+ "step": 5710
3660
+ },
3661
+ {
3662
+ "epoch": 1.84,
3663
+ "learning_rate": 0.00019093203883495144,
3664
+ "loss": 0.4587,
3665
+ "step": 5720
3666
+ },
3667
+ {
3668
+ "epoch": 1.84,
3669
+ "learning_rate": 0.0001907378640776699,
3670
+ "loss": 0.4671,
3671
+ "step": 5730
3672
+ },
3673
+ {
3674
+ "epoch": 1.85,
3675
+ "learning_rate": 0.00019054368932038834,
3676
+ "loss": 0.4618,
3677
+ "step": 5740
3678
+ },
3679
+ {
3680
+ "epoch": 1.85,
3681
+ "learning_rate": 0.00019034951456310678,
3682
+ "loss": 0.4576,
3683
+ "step": 5750
3684
+ },
3685
+ {
3686
+ "epoch": 1.85,
3687
+ "learning_rate": 0.00019015533980582523,
3688
+ "loss": 0.4435,
3689
+ "step": 5760
3690
+ },
3691
+ {
3692
+ "epoch": 1.86,
3693
+ "learning_rate": 0.00018996116504854367,
3694
+ "loss": 0.4311,
3695
+ "step": 5770
3696
+ },
3697
+ {
3698
+ "epoch": 1.86,
3699
+ "learning_rate": 0.00018976699029126215,
3700
+ "loss": 0.4414,
3701
+ "step": 5780
3702
+ },
3703
+ {
3704
+ "epoch": 1.86,
3705
+ "learning_rate": 0.0001895728155339806,
3706
+ "loss": 0.455,
3707
+ "step": 5790
3708
+ },
3709
+ {
3710
+ "epoch": 1.86,
3711
+ "learning_rate": 0.000189378640776699,
3712
+ "loss": 0.47,
3713
+ "step": 5800
3714
+ },
3715
+ {
3716
+ "epoch": 1.86,
3717
+ "eval_loss": 0.46795403957366943,
3718
+ "eval_runtime": 528.6661,
3719
+ "eval_samples_per_second": 3.783,
3720
+ "eval_steps_per_second": 0.473,
3721
+ "step": 5800
3722
+ },
3723
+ {
3724
+ "epoch": 1.87,
3725
+ "learning_rate": 0.00018918446601941746,
3726
+ "loss": 0.4624,
3727
+ "step": 5810
3728
+ },
3729
+ {
3730
+ "epoch": 1.87,
3731
+ "learning_rate": 0.0001889902912621359,
3732
+ "loss": 0.4606,
3733
+ "step": 5820
3734
+ },
3735
+ {
3736
+ "epoch": 1.87,
3737
+ "learning_rate": 0.00018879611650485435,
3738
+ "loss": 0.4533,
3739
+ "step": 5830
3740
+ },
3741
+ {
3742
+ "epoch": 1.88,
3743
+ "learning_rate": 0.0001886019417475728,
3744
+ "loss": 0.4458,
3745
+ "step": 5840
3746
+ },
3747
+ {
3748
+ "epoch": 1.88,
3749
+ "learning_rate": 0.00018840776699029124,
3750
+ "loss": 0.4455,
3751
+ "step": 5850
3752
+ },
3753
+ {
3754
+ "epoch": 1.88,
3755
+ "learning_rate": 0.00018821359223300968,
3756
+ "loss": 0.4416,
3757
+ "step": 5860
3758
+ },
3759
+ {
3760
+ "epoch": 1.89,
3761
+ "learning_rate": 0.00018801941747572813,
3762
+ "loss": 0.4364,
3763
+ "step": 5870
3764
+ },
3765
+ {
3766
+ "epoch": 1.89,
3767
+ "learning_rate": 0.00018782524271844658,
3768
+ "loss": 0.4537,
3769
+ "step": 5880
3770
+ },
3771
+ {
3772
+ "epoch": 1.89,
3773
+ "learning_rate": 0.00018763106796116505,
3774
+ "loss": 0.4368,
3775
+ "step": 5890
3776
+ },
3777
+ {
3778
+ "epoch": 1.9,
3779
+ "learning_rate": 0.0001874368932038835,
3780
+ "loss": 0.4618,
3781
+ "step": 5900
3782
+ },
3783
+ {
3784
+ "epoch": 1.9,
3785
+ "learning_rate": 0.00018724271844660194,
3786
+ "loss": 0.4295,
3787
+ "step": 5910
3788
+ },
3789
+ {
3790
+ "epoch": 1.9,
3791
+ "learning_rate": 0.0001870485436893204,
3792
+ "loss": 0.437,
3793
+ "step": 5920
3794
+ },
3795
+ {
3796
+ "epoch": 1.91,
3797
+ "learning_rate": 0.00018685436893203883,
3798
+ "loss": 0.4455,
3799
+ "step": 5930
3800
+ },
3801
+ {
3802
+ "epoch": 1.91,
3803
+ "learning_rate": 0.00018666019417475725,
3804
+ "loss": 0.4536,
3805
+ "step": 5940
3806
+ },
3807
+ {
3808
+ "epoch": 1.91,
3809
+ "learning_rate": 0.0001864660194174757,
3810
+ "loss": 0.4268,
3811
+ "step": 5950
3812
+ },
3813
+ {
3814
+ "epoch": 1.92,
3815
+ "learning_rate": 0.00018627184466019414,
3816
+ "loss": 0.4446,
3817
+ "step": 5960
3818
+ },
3819
+ {
3820
+ "epoch": 1.92,
3821
+ "learning_rate": 0.0001860776699029126,
3822
+ "loss": 0.4402,
3823
+ "step": 5970
3824
+ },
3825
+ {
3826
+ "epoch": 1.92,
3827
+ "learning_rate": 0.00018588349514563103,
3828
+ "loss": 0.4461,
3829
+ "step": 5980
3830
+ },
3831
+ {
3832
+ "epoch": 1.93,
3833
+ "learning_rate": 0.00018568932038834948,
3834
+ "loss": 0.4428,
3835
+ "step": 5990
3836
+ },
3837
+ {
3838
+ "epoch": 1.93,
3839
+ "learning_rate": 0.00018549514563106795,
3840
+ "loss": 0.4511,
3841
+ "step": 6000
3842
+ },
3843
+ {
3844
+ "epoch": 1.93,
3845
+ "eval_loss": 0.46734848618507385,
3846
+ "eval_runtime": 541.2095,
3847
+ "eval_samples_per_second": 3.695,
3848
+ "eval_steps_per_second": 0.462,
3849
+ "step": 6000
3850
+ },
3851
+ {
3852
+ "epoch": 1.93,
3853
+ "learning_rate": 0.0001853009708737864,
3854
+ "loss": 0.4351,
3855
+ "step": 6010
3856
+ },
3857
+ {
3858
+ "epoch": 1.94,
3859
+ "learning_rate": 0.00018510679611650485,
3860
+ "loss": 0.4829,
3861
+ "step": 6020
3862
+ },
3863
+ {
3864
+ "epoch": 1.94,
3865
+ "learning_rate": 0.0001849126213592233,
3866
+ "loss": 0.4493,
3867
+ "step": 6030
3868
+ },
3869
+ {
3870
+ "epoch": 1.94,
3871
+ "learning_rate": 0.00018471844660194174,
3872
+ "loss": 0.4435,
3873
+ "step": 6040
3874
+ },
3875
+ {
3876
+ "epoch": 1.95,
3877
+ "learning_rate": 0.00018452427184466018,
3878
+ "loss": 0.4295,
3879
+ "step": 6050
3880
+ },
3881
+ {
3882
+ "epoch": 1.95,
3883
+ "learning_rate": 0.00018433009708737863,
3884
+ "loss": 0.4416,
3885
+ "step": 6060
3886
+ },
3887
+ {
3888
+ "epoch": 1.95,
3889
+ "learning_rate": 0.00018413592233009707,
3890
+ "loss": 0.4233,
3891
+ "step": 6070
3892
+ },
3893
+ {
3894
+ "epoch": 1.95,
3895
+ "learning_rate": 0.00018394174757281555,
3896
+ "loss": 0.4569,
3897
+ "step": 6080
3898
+ },
3899
+ {
3900
+ "epoch": 1.96,
3901
+ "learning_rate": 0.00018374757281553394,
3902
+ "loss": 0.4402,
3903
+ "step": 6090
3904
+ },
3905
+ {
3906
+ "epoch": 1.96,
3907
+ "learning_rate": 0.0001835533980582524,
3908
+ "loss": 0.4358,
3909
+ "step": 6100
3910
+ },
3911
+ {
3912
+ "epoch": 1.96,
3913
+ "learning_rate": 0.00018335922330097086,
3914
+ "loss": 0.4552,
3915
+ "step": 6110
3916
+ },
3917
+ {
3918
+ "epoch": 1.97,
3919
+ "learning_rate": 0.0001831650485436893,
3920
+ "loss": 0.4475,
3921
+ "step": 6120
3922
+ },
3923
+ {
3924
+ "epoch": 1.97,
3925
+ "learning_rate": 0.00018297087378640775,
3926
+ "loss": 0.4479,
3927
+ "step": 6130
3928
+ },
3929
+ {
3930
+ "epoch": 1.97,
3931
+ "learning_rate": 0.0001827766990291262,
3932
+ "loss": 0.4538,
3933
+ "step": 6140
3934
+ },
3935
+ {
3936
+ "epoch": 1.98,
3937
+ "learning_rate": 0.00018258252427184464,
3938
+ "loss": 0.4635,
3939
+ "step": 6150
3940
+ },
3941
+ {
3942
+ "epoch": 1.98,
3943
+ "learning_rate": 0.0001823883495145631,
3944
+ "loss": 0.4366,
3945
+ "step": 6160
3946
+ },
3947
+ {
3948
+ "epoch": 1.98,
3949
+ "learning_rate": 0.00018219417475728153,
3950
+ "loss": 0.4194,
3951
+ "step": 6170
3952
+ },
3953
+ {
3954
+ "epoch": 1.99,
3955
+ "learning_rate": 0.00018199999999999998,
3956
+ "loss": 0.4795,
3957
+ "step": 6180
3958
+ },
3959
+ {
3960
+ "epoch": 1.99,
3961
+ "learning_rate": 0.00018180582524271845,
3962
+ "loss": 0.4484,
3963
+ "step": 6190
3964
+ },
3965
+ {
3966
+ "epoch": 1.99,
3967
+ "learning_rate": 0.0001816116504854369,
3968
+ "loss": 0.4451,
3969
+ "step": 6200
3970
+ },
3971
+ {
3972
+ "epoch": 1.99,
3973
+ "eval_loss": 0.4666987955570221,
3974
+ "eval_runtime": 560.4767,
3975
+ "eval_samples_per_second": 3.568,
3976
+ "eval_steps_per_second": 0.446,
3977
+ "step": 6200
3978
+ }
3979
+ ],
3980
+ "logging_steps": 10,
3981
+ "max_steps": 15550,
3982
+ "num_train_epochs": 5,
3983
+ "save_steps": 200,
3984
+ "total_flos": 1.5245364281459343e+18,
3985
+ "trial_name": null,
3986
+ "trial_params": null
3987
+ }
1b_52k/best_model/training_args.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:d0bbfcf35518c9d4954ee618a998a985354ed72127eb8b29c48fd9060ce68685
3
+ size 4027
alpaca_text_52K/best_model/adapter_config.json ADDED
@@ -0,0 +1,21 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "base_model_name_or_path": "huggyllama/llama-7b",
3
+ "bias": "none",
4
+ "enable_lora": null,
5
+ "fan_in_fan_out": false,
6
+ "inference_mode": true,
7
+ "init_lora_weights": true,
8
+ "lora_alpha": 16,
9
+ "lora_dropout": 0.05,
10
+ "merge_weights": false,
11
+ "modules_to_save": null,
12
+ "peft_type": "LORA",
13
+ "r": 16,
14
+ "target_modules": [
15
+ "q_proj",
16
+ "k_proj",
17
+ "v_proj",
18
+ "o_proj"
19
+ ],
20
+ "task_type": "CAUSAL_LM"
21
+ }
alpaca_text_52K/best_model/adapter_model.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:1cf0eee3aa5238d429c69dd5cda61c3a39c10e37c171ba3b7252ab2f82610f83
3
+ size 67201357
alpaca_text_52K/best_model/optimizer.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:1061da3884c7f2382c57724180759f46a51091bb905941cf000f9f4083ad40b7
3
+ size 134433093
alpaca_text_52K/best_model/rng_state.pth ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:05dd6bdef1188b917af2cf086637afd93711481154b752237000241493a7d9f7
3
+ size 14575
alpaca_text_52K/best_model/scheduler.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:604dec44d466307737354134b927f551b8e9372dcf7e0c7602123bda7cd9adfc
3
+ size 627
alpaca_text_52K/best_model/trainer_state.json ADDED
@@ -0,0 +1,3859 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_metric": 1.0564384460449219,
3
+ "best_model_checkpoint": "checkpoints/alpaca_text_52K/checkpoint-6000",
4
+ "epoch": 1.9198464122870171,
5
+ "eval_steps": 200,
6
+ "global_step": 6000,
7
+ "is_hyper_param_search": false,
8
+ "is_local_process_zero": true,
9
+ "is_world_process_zero": true,
10
+ "log_history": [
11
+ {
12
+ "epoch": 0.0,
13
+ "learning_rate": 1.4999999999999999e-05,
14
+ "loss": 2.2432,
15
+ "step": 10
16
+ },
17
+ {
18
+ "epoch": 0.01,
19
+ "learning_rate": 4.4999999999999996e-05,
20
+ "loss": 2.184,
21
+ "step": 20
22
+ },
23
+ {
24
+ "epoch": 0.01,
25
+ "learning_rate": 7.5e-05,
26
+ "loss": 2.1422,
27
+ "step": 30
28
+ },
29
+ {
30
+ "epoch": 0.01,
31
+ "learning_rate": 0.000102,
32
+ "loss": 1.7323,
33
+ "step": 40
34
+ },
35
+ {
36
+ "epoch": 0.02,
37
+ "learning_rate": 0.00013199999999999998,
38
+ "loss": 1.5829,
39
+ "step": 50
40
+ },
41
+ {
42
+ "epoch": 0.02,
43
+ "learning_rate": 0.000162,
44
+ "loss": 1.5178,
45
+ "step": 60
46
+ },
47
+ {
48
+ "epoch": 0.02,
49
+ "learning_rate": 0.00019199999999999998,
50
+ "loss": 1.2123,
51
+ "step": 70
52
+ },
53
+ {
54
+ "epoch": 0.03,
55
+ "learning_rate": 0.00022199999999999998,
56
+ "loss": 1.1177,
57
+ "step": 80
58
+ },
59
+ {
60
+ "epoch": 0.03,
61
+ "learning_rate": 0.00025199999999999995,
62
+ "loss": 1.1426,
63
+ "step": 90
64
+ },
65
+ {
66
+ "epoch": 0.03,
67
+ "learning_rate": 0.00028199999999999997,
68
+ "loss": 1.1881,
69
+ "step": 100
70
+ },
71
+ {
72
+ "epoch": 0.04,
73
+ "learning_rate": 0.0002999227053140096,
74
+ "loss": 1.1073,
75
+ "step": 110
76
+ },
77
+ {
78
+ "epoch": 0.04,
79
+ "learning_rate": 0.0002997294685990338,
80
+ "loss": 1.1338,
81
+ "step": 120
82
+ },
83
+ {
84
+ "epoch": 0.04,
85
+ "learning_rate": 0.00029953623188405795,
86
+ "loss": 1.0979,
87
+ "step": 130
88
+ },
89
+ {
90
+ "epoch": 0.04,
91
+ "learning_rate": 0.0002993429951690821,
92
+ "loss": 1.1325,
93
+ "step": 140
94
+ },
95
+ {
96
+ "epoch": 0.05,
97
+ "learning_rate": 0.00029914975845410623,
98
+ "loss": 1.1361,
99
+ "step": 150
100
+ },
101
+ {
102
+ "epoch": 0.05,
103
+ "learning_rate": 0.0002989565217391304,
104
+ "loss": 1.1412,
105
+ "step": 160
106
+ },
107
+ {
108
+ "epoch": 0.05,
109
+ "learning_rate": 0.00029876328502415457,
110
+ "loss": 1.0977,
111
+ "step": 170
112
+ },
113
+ {
114
+ "epoch": 0.06,
115
+ "learning_rate": 0.0002985700483091787,
116
+ "loss": 1.1252,
117
+ "step": 180
118
+ },
119
+ {
120
+ "epoch": 0.06,
121
+ "learning_rate": 0.00029837681159420286,
122
+ "loss": 1.1185,
123
+ "step": 190
124
+ },
125
+ {
126
+ "epoch": 0.06,
127
+ "learning_rate": 0.000298183574879227,
128
+ "loss": 1.0904,
129
+ "step": 200
130
+ },
131
+ {
132
+ "epoch": 0.06,
133
+ "eval_loss": 1.1103301048278809,
134
+ "eval_runtime": 299.3056,
135
+ "eval_samples_per_second": 6.682,
136
+ "eval_steps_per_second": 0.835,
137
+ "step": 200
138
+ },
139
+ {
140
+ "epoch": 0.07,
141
+ "learning_rate": 0.0002979903381642512,
142
+ "loss": 1.1097,
143
+ "step": 210
144
+ },
145
+ {
146
+ "epoch": 0.07,
147
+ "learning_rate": 0.00029779710144927534,
148
+ "loss": 1.1154,
149
+ "step": 220
150
+ },
151
+ {
152
+ "epoch": 0.07,
153
+ "learning_rate": 0.0002976038647342995,
154
+ "loss": 1.1053,
155
+ "step": 230
156
+ },
157
+ {
158
+ "epoch": 0.08,
159
+ "learning_rate": 0.0002974106280193236,
160
+ "loss": 1.1247,
161
+ "step": 240
162
+ },
163
+ {
164
+ "epoch": 0.08,
165
+ "learning_rate": 0.00029721739130434777,
166
+ "loss": 1.1455,
167
+ "step": 250
168
+ },
169
+ {
170
+ "epoch": 0.08,
171
+ "learning_rate": 0.00029702415458937196,
172
+ "loss": 1.1066,
173
+ "step": 260
174
+ },
175
+ {
176
+ "epoch": 0.09,
177
+ "learning_rate": 0.0002968309178743961,
178
+ "loss": 1.0765,
179
+ "step": 270
180
+ },
181
+ {
182
+ "epoch": 0.09,
183
+ "learning_rate": 0.00029663768115942025,
184
+ "loss": 1.0976,
185
+ "step": 280
186
+ },
187
+ {
188
+ "epoch": 0.09,
189
+ "learning_rate": 0.0002964444444444444,
190
+ "loss": 1.0866,
191
+ "step": 290
192
+ },
193
+ {
194
+ "epoch": 0.1,
195
+ "learning_rate": 0.0002962512077294686,
196
+ "loss": 1.0844,
197
+ "step": 300
198
+ },
199
+ {
200
+ "epoch": 0.1,
201
+ "learning_rate": 0.00029605797101449273,
202
+ "loss": 1.1352,
203
+ "step": 310
204
+ },
205
+ {
206
+ "epoch": 0.1,
207
+ "learning_rate": 0.0002958647342995169,
208
+ "loss": 1.0878,
209
+ "step": 320
210
+ },
211
+ {
212
+ "epoch": 0.11,
213
+ "learning_rate": 0.000295671497584541,
214
+ "loss": 1.0814,
215
+ "step": 330
216
+ },
217
+ {
218
+ "epoch": 0.11,
219
+ "learning_rate": 0.00029547826086956516,
220
+ "loss": 1.0676,
221
+ "step": 340
222
+ },
223
+ {
224
+ "epoch": 0.11,
225
+ "learning_rate": 0.00029528502415458936,
226
+ "loss": 1.043,
227
+ "step": 350
228
+ },
229
+ {
230
+ "epoch": 0.12,
231
+ "learning_rate": 0.0002950917874396135,
232
+ "loss": 1.0888,
233
+ "step": 360
234
+ },
235
+ {
236
+ "epoch": 0.12,
237
+ "learning_rate": 0.00029489855072463764,
238
+ "loss": 1.0948,
239
+ "step": 370
240
+ },
241
+ {
242
+ "epoch": 0.12,
243
+ "learning_rate": 0.0002947053140096618,
244
+ "loss": 1.0595,
245
+ "step": 380
246
+ },
247
+ {
248
+ "epoch": 0.12,
249
+ "learning_rate": 0.000294512077294686,
250
+ "loss": 1.1063,
251
+ "step": 390
252
+ },
253
+ {
254
+ "epoch": 0.13,
255
+ "learning_rate": 0.0002943188405797101,
256
+ "loss": 1.0437,
257
+ "step": 400
258
+ },
259
+ {
260
+ "epoch": 0.13,
261
+ "eval_loss": 1.0938334465026855,
262
+ "eval_runtime": 298.9118,
263
+ "eval_samples_per_second": 6.691,
264
+ "eval_steps_per_second": 0.836,
265
+ "step": 400
266
+ },
267
+ {
268
+ "epoch": 0.13,
269
+ "learning_rate": 0.00029412560386473427,
270
+ "loss": 1.107,
271
+ "step": 410
272
+ },
273
+ {
274
+ "epoch": 0.13,
275
+ "learning_rate": 0.0002939323671497584,
276
+ "loss": 1.1255,
277
+ "step": 420
278
+ },
279
+ {
280
+ "epoch": 0.14,
281
+ "learning_rate": 0.0002937391304347826,
282
+ "loss": 1.1168,
283
+ "step": 430
284
+ },
285
+ {
286
+ "epoch": 0.14,
287
+ "learning_rate": 0.00029354589371980675,
288
+ "loss": 1.0599,
289
+ "step": 440
290
+ },
291
+ {
292
+ "epoch": 0.14,
293
+ "learning_rate": 0.0002933526570048309,
294
+ "loss": 1.0614,
295
+ "step": 450
296
+ },
297
+ {
298
+ "epoch": 0.15,
299
+ "learning_rate": 0.00029315942028985503,
300
+ "loss": 1.1127,
301
+ "step": 460
302
+ },
303
+ {
304
+ "epoch": 0.15,
305
+ "learning_rate": 0.0002929661835748792,
306
+ "loss": 1.0629,
307
+ "step": 470
308
+ },
309
+ {
310
+ "epoch": 0.15,
311
+ "learning_rate": 0.00029277294685990337,
312
+ "loss": 1.0952,
313
+ "step": 480
314
+ },
315
+ {
316
+ "epoch": 0.16,
317
+ "learning_rate": 0.0002925797101449275,
318
+ "loss": 1.1008,
319
+ "step": 490
320
+ },
321
+ {
322
+ "epoch": 0.16,
323
+ "learning_rate": 0.00029238647342995166,
324
+ "loss": 1.0932,
325
+ "step": 500
326
+ },
327
+ {
328
+ "epoch": 0.16,
329
+ "learning_rate": 0.0002921932367149758,
330
+ "loss": 1.0604,
331
+ "step": 510
332
+ },
333
+ {
334
+ "epoch": 0.17,
335
+ "learning_rate": 0.000292,
336
+ "loss": 1.0925,
337
+ "step": 520
338
+ },
339
+ {
340
+ "epoch": 0.17,
341
+ "learning_rate": 0.00029180676328502414,
342
+ "loss": 1.0489,
343
+ "step": 530
344
+ },
345
+ {
346
+ "epoch": 0.17,
347
+ "learning_rate": 0.0002916135265700483,
348
+ "loss": 1.1185,
349
+ "step": 540
350
+ },
351
+ {
352
+ "epoch": 0.18,
353
+ "learning_rate": 0.0002914202898550724,
354
+ "loss": 1.0939,
355
+ "step": 550
356
+ },
357
+ {
358
+ "epoch": 0.18,
359
+ "learning_rate": 0.00029122705314009657,
360
+ "loss": 1.1288,
361
+ "step": 560
362
+ },
363
+ {
364
+ "epoch": 0.18,
365
+ "learning_rate": 0.00029103381642512076,
366
+ "loss": 1.0368,
367
+ "step": 570
368
+ },
369
+ {
370
+ "epoch": 0.19,
371
+ "learning_rate": 0.0002908405797101449,
372
+ "loss": 1.0762,
373
+ "step": 580
374
+ },
375
+ {
376
+ "epoch": 0.19,
377
+ "learning_rate": 0.00029064734299516905,
378
+ "loss": 1.0966,
379
+ "step": 590
380
+ },
381
+ {
382
+ "epoch": 0.19,
383
+ "learning_rate": 0.0002904541062801932,
384
+ "loss": 1.0941,
385
+ "step": 600
386
+ },
387
+ {
388
+ "epoch": 0.19,
389
+ "eval_loss": 1.0855311155319214,
390
+ "eval_runtime": 299.2543,
391
+ "eval_samples_per_second": 6.683,
392
+ "eval_steps_per_second": 0.835,
393
+ "step": 600
394
+ },
395
+ {
396
+ "epoch": 0.2,
397
+ "learning_rate": 0.0002902608695652174,
398
+ "loss": 1.0732,
399
+ "step": 610
400
+ },
401
+ {
402
+ "epoch": 0.2,
403
+ "learning_rate": 0.00029006763285024153,
404
+ "loss": 1.0497,
405
+ "step": 620
406
+ },
407
+ {
408
+ "epoch": 0.2,
409
+ "learning_rate": 0.00028987439613526567,
410
+ "loss": 1.0601,
411
+ "step": 630
412
+ },
413
+ {
414
+ "epoch": 0.2,
415
+ "learning_rate": 0.0002896811594202898,
416
+ "loss": 1.0886,
417
+ "step": 640
418
+ },
419
+ {
420
+ "epoch": 0.21,
421
+ "learning_rate": 0.00028948792270531396,
422
+ "loss": 1.0681,
423
+ "step": 650
424
+ },
425
+ {
426
+ "epoch": 0.21,
427
+ "learning_rate": 0.00028929468599033815,
428
+ "loss": 1.0559,
429
+ "step": 660
430
+ },
431
+ {
432
+ "epoch": 0.21,
433
+ "learning_rate": 0.0002891014492753623,
434
+ "loss": 1.0879,
435
+ "step": 670
436
+ },
437
+ {
438
+ "epoch": 0.22,
439
+ "learning_rate": 0.00028890821256038644,
440
+ "loss": 1.089,
441
+ "step": 680
442
+ },
443
+ {
444
+ "epoch": 0.22,
445
+ "learning_rate": 0.0002887149758454106,
446
+ "loss": 1.1005,
447
+ "step": 690
448
+ },
449
+ {
450
+ "epoch": 0.22,
451
+ "learning_rate": 0.0002885217391304348,
452
+ "loss": 1.1494,
453
+ "step": 700
454
+ },
455
+ {
456
+ "epoch": 0.23,
457
+ "learning_rate": 0.0002883285024154589,
458
+ "loss": 1.0847,
459
+ "step": 710
460
+ },
461
+ {
462
+ "epoch": 0.23,
463
+ "learning_rate": 0.00028813526570048306,
464
+ "loss": 1.0514,
465
+ "step": 720
466
+ },
467
+ {
468
+ "epoch": 0.23,
469
+ "learning_rate": 0.0002879420289855072,
470
+ "loss": 1.1038,
471
+ "step": 730
472
+ },
473
+ {
474
+ "epoch": 0.24,
475
+ "learning_rate": 0.0002877487922705314,
476
+ "loss": 1.0171,
477
+ "step": 740
478
+ },
479
+ {
480
+ "epoch": 0.24,
481
+ "learning_rate": 0.00028755555555555555,
482
+ "loss": 1.1281,
483
+ "step": 750
484
+ },
485
+ {
486
+ "epoch": 0.24,
487
+ "learning_rate": 0.0002873623188405797,
488
+ "loss": 1.0677,
489
+ "step": 760
490
+ },
491
+ {
492
+ "epoch": 0.25,
493
+ "learning_rate": 0.00028716908212560383,
494
+ "loss": 1.0963,
495
+ "step": 770
496
+ },
497
+ {
498
+ "epoch": 0.25,
499
+ "learning_rate": 0.000286975845410628,
500
+ "loss": 1.1041,
501
+ "step": 780
502
+ },
503
+ {
504
+ "epoch": 0.25,
505
+ "learning_rate": 0.00028678260869565217,
506
+ "loss": 1.0847,
507
+ "step": 790
508
+ },
509
+ {
510
+ "epoch": 0.26,
511
+ "learning_rate": 0.0002865893719806763,
512
+ "loss": 1.0871,
513
+ "step": 800
514
+ },
515
+ {
516
+ "epoch": 0.26,
517
+ "eval_loss": 1.0817850828170776,
518
+ "eval_runtime": 298.1366,
519
+ "eval_samples_per_second": 6.708,
520
+ "eval_steps_per_second": 0.839,
521
+ "step": 800
522
+ },
523
+ {
524
+ "epoch": 0.26,
525
+ "learning_rate": 0.00028639613526570046,
526
+ "loss": 1.0593,
527
+ "step": 810
528
+ },
529
+ {
530
+ "epoch": 0.26,
531
+ "learning_rate": 0.0002862028985507246,
532
+ "loss": 1.0254,
533
+ "step": 820
534
+ },
535
+ {
536
+ "epoch": 0.27,
537
+ "learning_rate": 0.0002860096618357488,
538
+ "loss": 1.0503,
539
+ "step": 830
540
+ },
541
+ {
542
+ "epoch": 0.27,
543
+ "learning_rate": 0.00028581642512077294,
544
+ "loss": 1.1017,
545
+ "step": 840
546
+ },
547
+ {
548
+ "epoch": 0.27,
549
+ "learning_rate": 0.0002856231884057971,
550
+ "loss": 1.0658,
551
+ "step": 850
552
+ },
553
+ {
554
+ "epoch": 0.28,
555
+ "learning_rate": 0.0002854299516908212,
556
+ "loss": 1.1069,
557
+ "step": 860
558
+ },
559
+ {
560
+ "epoch": 0.28,
561
+ "learning_rate": 0.00028523671497584537,
562
+ "loss": 1.0603,
563
+ "step": 870
564
+ },
565
+ {
566
+ "epoch": 0.28,
567
+ "learning_rate": 0.00028504347826086956,
568
+ "loss": 1.082,
569
+ "step": 880
570
+ },
571
+ {
572
+ "epoch": 0.28,
573
+ "learning_rate": 0.0002848502415458937,
574
+ "loss": 1.1248,
575
+ "step": 890
576
+ },
577
+ {
578
+ "epoch": 0.29,
579
+ "learning_rate": 0.00028465700483091785,
580
+ "loss": 1.1223,
581
+ "step": 900
582
+ },
583
+ {
584
+ "epoch": 0.29,
585
+ "learning_rate": 0.000284463768115942,
586
+ "loss": 1.0672,
587
+ "step": 910
588
+ },
589
+ {
590
+ "epoch": 0.29,
591
+ "learning_rate": 0.0002842705314009662,
592
+ "loss": 1.1095,
593
+ "step": 920
594
+ },
595
+ {
596
+ "epoch": 0.3,
597
+ "learning_rate": 0.00028407729468599033,
598
+ "loss": 1.0227,
599
+ "step": 930
600
+ },
601
+ {
602
+ "epoch": 0.3,
603
+ "learning_rate": 0.00028388405797101447,
604
+ "loss": 1.0969,
605
+ "step": 940
606
+ },
607
+ {
608
+ "epoch": 0.3,
609
+ "learning_rate": 0.0002836908212560386,
610
+ "loss": 1.0638,
611
+ "step": 950
612
+ },
613
+ {
614
+ "epoch": 0.31,
615
+ "learning_rate": 0.00028349758454106276,
616
+ "loss": 1.0892,
617
+ "step": 960
618
+ },
619
+ {
620
+ "epoch": 0.31,
621
+ "learning_rate": 0.00028330434782608695,
622
+ "loss": 1.0565,
623
+ "step": 970
624
+ },
625
+ {
626
+ "epoch": 0.31,
627
+ "learning_rate": 0.0002831111111111111,
628
+ "loss": 1.1078,
629
+ "step": 980
630
+ },
631
+ {
632
+ "epoch": 0.32,
633
+ "learning_rate": 0.00028291787439613524,
634
+ "loss": 1.1106,
635
+ "step": 990
636
+ },
637
+ {
638
+ "epoch": 0.32,
639
+ "learning_rate": 0.0002827246376811594,
640
+ "loss": 1.066,
641
+ "step": 1000
642
+ },
643
+ {
644
+ "epoch": 0.32,
645
+ "eval_loss": 1.0781841278076172,
646
+ "eval_runtime": 298.6342,
647
+ "eval_samples_per_second": 6.697,
648
+ "eval_steps_per_second": 0.837,
649
+ "step": 1000
650
+ },
651
+ {
652
+ "epoch": 0.32,
653
+ "learning_rate": 0.0002825314009661836,
654
+ "loss": 1.107,
655
+ "step": 1010
656
+ },
657
+ {
658
+ "epoch": 0.33,
659
+ "learning_rate": 0.0002823381642512077,
660
+ "loss": 1.0654,
661
+ "step": 1020
662
+ },
663
+ {
664
+ "epoch": 0.33,
665
+ "learning_rate": 0.00028214492753623186,
666
+ "loss": 1.0342,
667
+ "step": 1030
668
+ },
669
+ {
670
+ "epoch": 0.33,
671
+ "learning_rate": 0.000281951690821256,
672
+ "loss": 1.088,
673
+ "step": 1040
674
+ },
675
+ {
676
+ "epoch": 0.34,
677
+ "learning_rate": 0.0002817584541062802,
678
+ "loss": 1.0871,
679
+ "step": 1050
680
+ },
681
+ {
682
+ "epoch": 0.34,
683
+ "learning_rate": 0.00028156521739130434,
684
+ "loss": 1.1038,
685
+ "step": 1060
686
+ },
687
+ {
688
+ "epoch": 0.34,
689
+ "learning_rate": 0.0002813719806763285,
690
+ "loss": 1.0912,
691
+ "step": 1070
692
+ },
693
+ {
694
+ "epoch": 0.35,
695
+ "learning_rate": 0.00028117874396135263,
696
+ "loss": 1.0836,
697
+ "step": 1080
698
+ },
699
+ {
700
+ "epoch": 0.35,
701
+ "learning_rate": 0.00028098550724637677,
702
+ "loss": 1.0852,
703
+ "step": 1090
704
+ },
705
+ {
706
+ "epoch": 0.35,
707
+ "learning_rate": 0.00028079227053140097,
708
+ "loss": 1.0757,
709
+ "step": 1100
710
+ },
711
+ {
712
+ "epoch": 0.36,
713
+ "learning_rate": 0.0002805990338164251,
714
+ "loss": 1.0274,
715
+ "step": 1110
716
+ },
717
+ {
718
+ "epoch": 0.36,
719
+ "learning_rate": 0.00028040579710144925,
720
+ "loss": 1.0815,
721
+ "step": 1120
722
+ },
723
+ {
724
+ "epoch": 0.36,
725
+ "learning_rate": 0.0002802125603864734,
726
+ "loss": 1.0917,
727
+ "step": 1130
728
+ },
729
+ {
730
+ "epoch": 0.36,
731
+ "learning_rate": 0.0002800193236714976,
732
+ "loss": 1.0986,
733
+ "step": 1140
734
+ },
735
+ {
736
+ "epoch": 0.37,
737
+ "learning_rate": 0.00027982608695652174,
738
+ "loss": 1.0712,
739
+ "step": 1150
740
+ },
741
+ {
742
+ "epoch": 0.37,
743
+ "learning_rate": 0.0002796328502415459,
744
+ "loss": 1.0725,
745
+ "step": 1160
746
+ },
747
+ {
748
+ "epoch": 0.37,
749
+ "learning_rate": 0.00027943961352657,
750
+ "loss": 1.0358,
751
+ "step": 1170
752
+ },
753
+ {
754
+ "epoch": 0.38,
755
+ "learning_rate": 0.00027924637681159416,
756
+ "loss": 1.0775,
757
+ "step": 1180
758
+ },
759
+ {
760
+ "epoch": 0.38,
761
+ "learning_rate": 0.00027905314009661836,
762
+ "loss": 1.083,
763
+ "step": 1190
764
+ },
765
+ {
766
+ "epoch": 0.38,
767
+ "learning_rate": 0.0002788599033816425,
768
+ "loss": 1.0618,
769
+ "step": 1200
770
+ },
771
+ {
772
+ "epoch": 0.38,
773
+ "eval_loss": 1.0745840072631836,
774
+ "eval_runtime": 300.795,
775
+ "eval_samples_per_second": 6.649,
776
+ "eval_steps_per_second": 0.831,
777
+ "step": 1200
778
+ },
779
+ {
780
+ "epoch": 0.39,
781
+ "learning_rate": 0.00027866666666666665,
782
+ "loss": 1.0851,
783
+ "step": 1210
784
+ },
785
+ {
786
+ "epoch": 0.39,
787
+ "learning_rate": 0.0002784734299516908,
788
+ "loss": 1.1221,
789
+ "step": 1220
790
+ },
791
+ {
792
+ "epoch": 0.39,
793
+ "learning_rate": 0.000278280193236715,
794
+ "loss": 1.1222,
795
+ "step": 1230
796
+ },
797
+ {
798
+ "epoch": 0.4,
799
+ "learning_rate": 0.00027808695652173913,
800
+ "loss": 1.0941,
801
+ "step": 1240
802
+ },
803
+ {
804
+ "epoch": 0.4,
805
+ "learning_rate": 0.00027789371980676327,
806
+ "loss": 1.0994,
807
+ "step": 1250
808
+ },
809
+ {
810
+ "epoch": 0.4,
811
+ "learning_rate": 0.0002777004830917874,
812
+ "loss": 1.0973,
813
+ "step": 1260
814
+ },
815
+ {
816
+ "epoch": 0.41,
817
+ "learning_rate": 0.00027750724637681156,
818
+ "loss": 0.9984,
819
+ "step": 1270
820
+ },
821
+ {
822
+ "epoch": 0.41,
823
+ "learning_rate": 0.00027731400966183575,
824
+ "loss": 1.0531,
825
+ "step": 1280
826
+ },
827
+ {
828
+ "epoch": 0.41,
829
+ "learning_rate": 0.0002771207729468599,
830
+ "loss": 1.0872,
831
+ "step": 1290
832
+ },
833
+ {
834
+ "epoch": 0.42,
835
+ "learning_rate": 0.00027692753623188404,
836
+ "loss": 1.0575,
837
+ "step": 1300
838
+ },
839
+ {
840
+ "epoch": 0.42,
841
+ "learning_rate": 0.0002767342995169082,
842
+ "loss": 1.0515,
843
+ "step": 1310
844
+ },
845
+ {
846
+ "epoch": 0.42,
847
+ "learning_rate": 0.0002765410628019324,
848
+ "loss": 1.0888,
849
+ "step": 1320
850
+ },
851
+ {
852
+ "epoch": 0.43,
853
+ "learning_rate": 0.0002763478260869565,
854
+ "loss": 1.058,
855
+ "step": 1330
856
+ },
857
+ {
858
+ "epoch": 0.43,
859
+ "learning_rate": 0.00027615458937198066,
860
+ "loss": 1.0355,
861
+ "step": 1340
862
+ },
863
+ {
864
+ "epoch": 0.43,
865
+ "learning_rate": 0.0002759613526570048,
866
+ "loss": 1.0612,
867
+ "step": 1350
868
+ },
869
+ {
870
+ "epoch": 0.44,
871
+ "learning_rate": 0.000275768115942029,
872
+ "loss": 1.1059,
873
+ "step": 1360
874
+ },
875
+ {
876
+ "epoch": 0.44,
877
+ "learning_rate": 0.00027557487922705314,
878
+ "loss": 1.0836,
879
+ "step": 1370
880
+ },
881
+ {
882
+ "epoch": 0.44,
883
+ "learning_rate": 0.0002753816425120773,
884
+ "loss": 1.0433,
885
+ "step": 1380
886
+ },
887
+ {
888
+ "epoch": 0.44,
889
+ "learning_rate": 0.00027518840579710143,
890
+ "loss": 1.1255,
891
+ "step": 1390
892
+ },
893
+ {
894
+ "epoch": 0.45,
895
+ "learning_rate": 0.00027499516908212557,
896
+ "loss": 1.0494,
897
+ "step": 1400
898
+ },
899
+ {
900
+ "epoch": 0.45,
901
+ "eval_loss": 1.0709148645401,
902
+ "eval_runtime": 299.6045,
903
+ "eval_samples_per_second": 6.675,
904
+ "eval_steps_per_second": 0.834,
905
+ "step": 1400
906
+ },
907
+ {
908
+ "epoch": 0.45,
909
+ "learning_rate": 0.00027480193236714977,
910
+ "loss": 1.0646,
911
+ "step": 1410
912
+ },
913
+ {
914
+ "epoch": 0.45,
915
+ "learning_rate": 0.0002746086956521739,
916
+ "loss": 1.0492,
917
+ "step": 1420
918
+ },
919
+ {
920
+ "epoch": 0.46,
921
+ "learning_rate": 0.00027441545893719805,
922
+ "loss": 1.1201,
923
+ "step": 1430
924
+ },
925
+ {
926
+ "epoch": 0.46,
927
+ "learning_rate": 0.0002742222222222222,
928
+ "loss": 1.1151,
929
+ "step": 1440
930
+ },
931
+ {
932
+ "epoch": 0.46,
933
+ "learning_rate": 0.0002740289855072464,
934
+ "loss": 1.0785,
935
+ "step": 1450
936
+ },
937
+ {
938
+ "epoch": 0.47,
939
+ "learning_rate": 0.00027383574879227054,
940
+ "loss": 1.1167,
941
+ "step": 1460
942
+ },
943
+ {
944
+ "epoch": 0.47,
945
+ "learning_rate": 0.0002736425120772947,
946
+ "loss": 1.0623,
947
+ "step": 1470
948
+ },
949
+ {
950
+ "epoch": 0.47,
951
+ "learning_rate": 0.0002734492753623188,
952
+ "loss": 1.084,
953
+ "step": 1480
954
+ },
955
+ {
956
+ "epoch": 0.48,
957
+ "learning_rate": 0.00027325603864734296,
958
+ "loss": 1.0931,
959
+ "step": 1490
960
+ },
961
+ {
962
+ "epoch": 0.48,
963
+ "learning_rate": 0.00027306280193236716,
964
+ "loss": 1.0783,
965
+ "step": 1500
966
+ },
967
+ {
968
+ "epoch": 0.48,
969
+ "learning_rate": 0.0002728695652173913,
970
+ "loss": 1.0801,
971
+ "step": 1510
972
+ },
973
+ {
974
+ "epoch": 0.49,
975
+ "learning_rate": 0.00027267632850241544,
976
+ "loss": 1.0362,
977
+ "step": 1520
978
+ },
979
+ {
980
+ "epoch": 0.49,
981
+ "learning_rate": 0.0002724830917874396,
982
+ "loss": 1.1147,
983
+ "step": 1530
984
+ },
985
+ {
986
+ "epoch": 0.49,
987
+ "learning_rate": 0.0002722898550724638,
988
+ "loss": 1.0659,
989
+ "step": 1540
990
+ },
991
+ {
992
+ "epoch": 0.5,
993
+ "learning_rate": 0.0002720966183574879,
994
+ "loss": 1.0629,
995
+ "step": 1550
996
+ },
997
+ {
998
+ "epoch": 0.5,
999
+ "learning_rate": 0.00027190338164251207,
1000
+ "loss": 1.0563,
1001
+ "step": 1560
1002
+ },
1003
+ {
1004
+ "epoch": 0.5,
1005
+ "learning_rate": 0.0002717101449275362,
1006
+ "loss": 1.0661,
1007
+ "step": 1570
1008
+ },
1009
+ {
1010
+ "epoch": 0.51,
1011
+ "learning_rate": 0.00027151690821256035,
1012
+ "loss": 1.0722,
1013
+ "step": 1580
1014
+ },
1015
+ {
1016
+ "epoch": 0.51,
1017
+ "learning_rate": 0.00027132367149758455,
1018
+ "loss": 1.0175,
1019
+ "step": 1590
1020
+ },
1021
+ {
1022
+ "epoch": 0.51,
1023
+ "learning_rate": 0.0002711304347826087,
1024
+ "loss": 1.0829,
1025
+ "step": 1600
1026
+ },
1027
+ {
1028
+ "epoch": 0.51,
1029
+ "eval_loss": 1.0700575113296509,
1030
+ "eval_runtime": 301.3359,
1031
+ "eval_samples_per_second": 6.637,
1032
+ "eval_steps_per_second": 0.83,
1033
+ "step": 1600
1034
+ },
1035
+ {
1036
+ "epoch": 0.52,
1037
+ "learning_rate": 0.00027093719806763284,
1038
+ "loss": 1.0935,
1039
+ "step": 1610
1040
+ },
1041
+ {
1042
+ "epoch": 0.52,
1043
+ "learning_rate": 0.000270743961352657,
1044
+ "loss": 1.094,
1045
+ "step": 1620
1046
+ },
1047
+ {
1048
+ "epoch": 0.52,
1049
+ "learning_rate": 0.0002705507246376812,
1050
+ "loss": 1.0603,
1051
+ "step": 1630
1052
+ },
1053
+ {
1054
+ "epoch": 0.52,
1055
+ "learning_rate": 0.0002703574879227053,
1056
+ "loss": 1.0813,
1057
+ "step": 1640
1058
+ },
1059
+ {
1060
+ "epoch": 0.53,
1061
+ "learning_rate": 0.00027016425120772946,
1062
+ "loss": 1.0836,
1063
+ "step": 1650
1064
+ },
1065
+ {
1066
+ "epoch": 0.53,
1067
+ "learning_rate": 0.0002699710144927536,
1068
+ "loss": 1.0538,
1069
+ "step": 1660
1070
+ },
1071
+ {
1072
+ "epoch": 0.53,
1073
+ "learning_rate": 0.00026977777777777775,
1074
+ "loss": 1.0892,
1075
+ "step": 1670
1076
+ },
1077
+ {
1078
+ "epoch": 0.54,
1079
+ "learning_rate": 0.00026958454106280194,
1080
+ "loss": 1.0814,
1081
+ "step": 1680
1082
+ },
1083
+ {
1084
+ "epoch": 0.54,
1085
+ "learning_rate": 0.0002693913043478261,
1086
+ "loss": 1.0407,
1087
+ "step": 1690
1088
+ },
1089
+ {
1090
+ "epoch": 0.54,
1091
+ "learning_rate": 0.00026919806763285023,
1092
+ "loss": 1.0628,
1093
+ "step": 1700
1094
+ },
1095
+ {
1096
+ "epoch": 0.55,
1097
+ "learning_rate": 0.00026900483091787437,
1098
+ "loss": 1.0678,
1099
+ "step": 1710
1100
+ },
1101
+ {
1102
+ "epoch": 0.55,
1103
+ "learning_rate": 0.0002688115942028985,
1104
+ "loss": 1.0832,
1105
+ "step": 1720
1106
+ },
1107
+ {
1108
+ "epoch": 0.55,
1109
+ "learning_rate": 0.0002686183574879227,
1110
+ "loss": 1.1199,
1111
+ "step": 1730
1112
+ },
1113
+ {
1114
+ "epoch": 0.56,
1115
+ "learning_rate": 0.00026842512077294685,
1116
+ "loss": 1.0674,
1117
+ "step": 1740
1118
+ },
1119
+ {
1120
+ "epoch": 0.56,
1121
+ "learning_rate": 0.000268231884057971,
1122
+ "loss": 1.0719,
1123
+ "step": 1750
1124
+ },
1125
+ {
1126
+ "epoch": 0.56,
1127
+ "learning_rate": 0.00026803864734299514,
1128
+ "loss": 1.0754,
1129
+ "step": 1760
1130
+ },
1131
+ {
1132
+ "epoch": 0.57,
1133
+ "learning_rate": 0.00026784541062801933,
1134
+ "loss": 1.0248,
1135
+ "step": 1770
1136
+ },
1137
+ {
1138
+ "epoch": 0.57,
1139
+ "learning_rate": 0.0002676521739130435,
1140
+ "loss": 1.0659,
1141
+ "step": 1780
1142
+ },
1143
+ {
1144
+ "epoch": 0.57,
1145
+ "learning_rate": 0.0002674589371980676,
1146
+ "loss": 1.0341,
1147
+ "step": 1790
1148
+ },
1149
+ {
1150
+ "epoch": 0.58,
1151
+ "learning_rate": 0.00026726570048309176,
1152
+ "loss": 1.1131,
1153
+ "step": 1800
1154
+ },
1155
+ {
1156
+ "epoch": 0.58,
1157
+ "eval_loss": 1.0687577724456787,
1158
+ "eval_runtime": 298.631,
1159
+ "eval_samples_per_second": 6.697,
1160
+ "eval_steps_per_second": 0.837,
1161
+ "step": 1800
1162
+ },
1163
+ {
1164
+ "epoch": 0.58,
1165
+ "learning_rate": 0.0002670724637681159,
1166
+ "loss": 1.0585,
1167
+ "step": 1810
1168
+ },
1169
+ {
1170
+ "epoch": 0.58,
1171
+ "learning_rate": 0.0002668792270531401,
1172
+ "loss": 1.0657,
1173
+ "step": 1820
1174
+ },
1175
+ {
1176
+ "epoch": 0.59,
1177
+ "learning_rate": 0.00026668599033816424,
1178
+ "loss": 1.0435,
1179
+ "step": 1830
1180
+ },
1181
+ {
1182
+ "epoch": 0.59,
1183
+ "learning_rate": 0.0002664927536231884,
1184
+ "loss": 1.0697,
1185
+ "step": 1840
1186
+ },
1187
+ {
1188
+ "epoch": 0.59,
1189
+ "learning_rate": 0.00026629951690821253,
1190
+ "loss": 1.086,
1191
+ "step": 1850
1192
+ },
1193
+ {
1194
+ "epoch": 0.6,
1195
+ "learning_rate": 0.0002661062801932367,
1196
+ "loss": 1.0853,
1197
+ "step": 1860
1198
+ },
1199
+ {
1200
+ "epoch": 0.6,
1201
+ "learning_rate": 0.00026591304347826087,
1202
+ "loss": 1.0214,
1203
+ "step": 1870
1204
+ },
1205
+ {
1206
+ "epoch": 0.6,
1207
+ "learning_rate": 0.000265719806763285,
1208
+ "loss": 1.069,
1209
+ "step": 1880
1210
+ },
1211
+ {
1212
+ "epoch": 0.6,
1213
+ "learning_rate": 0.00026552657004830915,
1214
+ "loss": 1.0793,
1215
+ "step": 1890
1216
+ },
1217
+ {
1218
+ "epoch": 0.61,
1219
+ "learning_rate": 0.0002653333333333333,
1220
+ "loss": 1.0631,
1221
+ "step": 1900
1222
+ },
1223
+ {
1224
+ "epoch": 0.61,
1225
+ "learning_rate": 0.0002651400966183575,
1226
+ "loss": 1.0605,
1227
+ "step": 1910
1228
+ },
1229
+ {
1230
+ "epoch": 0.61,
1231
+ "learning_rate": 0.00026494685990338163,
1232
+ "loss": 1.0322,
1233
+ "step": 1920
1234
+ },
1235
+ {
1236
+ "epoch": 0.62,
1237
+ "learning_rate": 0.0002647536231884058,
1238
+ "loss": 1.0644,
1239
+ "step": 1930
1240
+ },
1241
+ {
1242
+ "epoch": 0.62,
1243
+ "learning_rate": 0.0002645603864734299,
1244
+ "loss": 1.0665,
1245
+ "step": 1940
1246
+ },
1247
+ {
1248
+ "epoch": 0.62,
1249
+ "learning_rate": 0.00026436714975845406,
1250
+ "loss": 1.1168,
1251
+ "step": 1950
1252
+ },
1253
+ {
1254
+ "epoch": 0.63,
1255
+ "learning_rate": 0.00026417391304347826,
1256
+ "loss": 1.0518,
1257
+ "step": 1960
1258
+ },
1259
+ {
1260
+ "epoch": 0.63,
1261
+ "learning_rate": 0.0002639806763285024,
1262
+ "loss": 1.0634,
1263
+ "step": 1970
1264
+ },
1265
+ {
1266
+ "epoch": 0.63,
1267
+ "learning_rate": 0.00026378743961352654,
1268
+ "loss": 1.0483,
1269
+ "step": 1980
1270
+ },
1271
+ {
1272
+ "epoch": 0.64,
1273
+ "learning_rate": 0.0002635942028985507,
1274
+ "loss": 1.0808,
1275
+ "step": 1990
1276
+ },
1277
+ {
1278
+ "epoch": 0.64,
1279
+ "learning_rate": 0.0002634009661835749,
1280
+ "loss": 1.0519,
1281
+ "step": 2000
1282
+ },
1283
+ {
1284
+ "epoch": 0.64,
1285
+ "eval_loss": 1.0664184093475342,
1286
+ "eval_runtime": 297.6732,
1287
+ "eval_samples_per_second": 6.719,
1288
+ "eval_steps_per_second": 0.84,
1289
+ "step": 2000
1290
+ },
1291
+ {
1292
+ "epoch": 0.64,
1293
+ "learning_rate": 0.000263207729468599,
1294
+ "loss": 1.0351,
1295
+ "step": 2010
1296
+ },
1297
+ {
1298
+ "epoch": 0.65,
1299
+ "learning_rate": 0.00026301449275362317,
1300
+ "loss": 1.0342,
1301
+ "step": 2020
1302
+ },
1303
+ {
1304
+ "epoch": 0.65,
1305
+ "learning_rate": 0.0002628212560386473,
1306
+ "loss": 1.029,
1307
+ "step": 2030
1308
+ },
1309
+ {
1310
+ "epoch": 0.65,
1311
+ "learning_rate": 0.00026262801932367145,
1312
+ "loss": 1.0726,
1313
+ "step": 2040
1314
+ },
1315
+ {
1316
+ "epoch": 0.66,
1317
+ "learning_rate": 0.00026243478260869565,
1318
+ "loss": 1.0187,
1319
+ "step": 2050
1320
+ },
1321
+ {
1322
+ "epoch": 0.66,
1323
+ "learning_rate": 0.0002622415458937198,
1324
+ "loss": 1.0743,
1325
+ "step": 2060
1326
+ },
1327
+ {
1328
+ "epoch": 0.66,
1329
+ "learning_rate": 0.00026204830917874394,
1330
+ "loss": 1.0544,
1331
+ "step": 2070
1332
+ },
1333
+ {
1334
+ "epoch": 0.67,
1335
+ "learning_rate": 0.0002618550724637681,
1336
+ "loss": 1.0619,
1337
+ "step": 2080
1338
+ },
1339
+ {
1340
+ "epoch": 0.67,
1341
+ "learning_rate": 0.0002616618357487922,
1342
+ "loss": 1.0642,
1343
+ "step": 2090
1344
+ },
1345
+ {
1346
+ "epoch": 0.67,
1347
+ "learning_rate": 0.0002614685990338164,
1348
+ "loss": 1.0353,
1349
+ "step": 2100
1350
+ },
1351
+ {
1352
+ "epoch": 0.68,
1353
+ "learning_rate": 0.00026127536231884056,
1354
+ "loss": 1.0435,
1355
+ "step": 2110
1356
+ },
1357
+ {
1358
+ "epoch": 0.68,
1359
+ "learning_rate": 0.0002610821256038647,
1360
+ "loss": 1.0759,
1361
+ "step": 2120
1362
+ },
1363
+ {
1364
+ "epoch": 0.68,
1365
+ "learning_rate": 0.00026088888888888885,
1366
+ "loss": 1.1161,
1367
+ "step": 2130
1368
+ },
1369
+ {
1370
+ "epoch": 0.68,
1371
+ "learning_rate": 0.00026069565217391304,
1372
+ "loss": 1.0283,
1373
+ "step": 2140
1374
+ },
1375
+ {
1376
+ "epoch": 0.69,
1377
+ "learning_rate": 0.0002605024154589372,
1378
+ "loss": 1.0889,
1379
+ "step": 2150
1380
+ },
1381
+ {
1382
+ "epoch": 0.69,
1383
+ "learning_rate": 0.00026030917874396133,
1384
+ "loss": 1.0649,
1385
+ "step": 2160
1386
+ },
1387
+ {
1388
+ "epoch": 0.69,
1389
+ "learning_rate": 0.00026011594202898547,
1390
+ "loss": 1.0541,
1391
+ "step": 2170
1392
+ },
1393
+ {
1394
+ "epoch": 0.7,
1395
+ "learning_rate": 0.0002599227053140096,
1396
+ "loss": 1.086,
1397
+ "step": 2180
1398
+ },
1399
+ {
1400
+ "epoch": 0.7,
1401
+ "learning_rate": 0.0002597294685990338,
1402
+ "loss": 1.0836,
1403
+ "step": 2190
1404
+ },
1405
+ {
1406
+ "epoch": 0.7,
1407
+ "learning_rate": 0.00025953623188405795,
1408
+ "loss": 1.0128,
1409
+ "step": 2200
1410
+ },
1411
+ {
1412
+ "epoch": 0.7,
1413
+ "eval_loss": 1.0654979944229126,
1414
+ "eval_runtime": 298.984,
1415
+ "eval_samples_per_second": 6.689,
1416
+ "eval_steps_per_second": 0.836,
1417
+ "step": 2200
1418
+ },
1419
+ {
1420
+ "epoch": 0.71,
1421
+ "learning_rate": 0.0002593429951690821,
1422
+ "loss": 1.0502,
1423
+ "step": 2210
1424
+ },
1425
+ {
1426
+ "epoch": 0.71,
1427
+ "learning_rate": 0.00025914975845410624,
1428
+ "loss": 1.0275,
1429
+ "step": 2220
1430
+ },
1431
+ {
1432
+ "epoch": 0.71,
1433
+ "learning_rate": 0.00025895652173913043,
1434
+ "loss": 1.0567,
1435
+ "step": 2230
1436
+ },
1437
+ {
1438
+ "epoch": 0.72,
1439
+ "learning_rate": 0.0002587632850241546,
1440
+ "loss": 1.1105,
1441
+ "step": 2240
1442
+ },
1443
+ {
1444
+ "epoch": 0.72,
1445
+ "learning_rate": 0.0002585700483091787,
1446
+ "loss": 1.0271,
1447
+ "step": 2250
1448
+ },
1449
+ {
1450
+ "epoch": 0.72,
1451
+ "learning_rate": 0.00025837681159420286,
1452
+ "loss": 1.0471,
1453
+ "step": 2260
1454
+ },
1455
+ {
1456
+ "epoch": 0.73,
1457
+ "learning_rate": 0.000258183574879227,
1458
+ "loss": 1.0862,
1459
+ "step": 2270
1460
+ },
1461
+ {
1462
+ "epoch": 0.73,
1463
+ "learning_rate": 0.0002579903381642512,
1464
+ "loss": 1.0829,
1465
+ "step": 2280
1466
+ },
1467
+ {
1468
+ "epoch": 0.73,
1469
+ "learning_rate": 0.00025779710144927534,
1470
+ "loss": 1.0542,
1471
+ "step": 2290
1472
+ },
1473
+ {
1474
+ "epoch": 0.74,
1475
+ "learning_rate": 0.0002576038647342995,
1476
+ "loss": 1.0632,
1477
+ "step": 2300
1478
+ },
1479
+ {
1480
+ "epoch": 0.74,
1481
+ "learning_rate": 0.00025741062801932363,
1482
+ "loss": 1.0714,
1483
+ "step": 2310
1484
+ },
1485
+ {
1486
+ "epoch": 0.74,
1487
+ "learning_rate": 0.00025721739130434777,
1488
+ "loss": 0.9918,
1489
+ "step": 2320
1490
+ },
1491
+ {
1492
+ "epoch": 0.75,
1493
+ "learning_rate": 0.00025702415458937197,
1494
+ "loss": 1.0651,
1495
+ "step": 2330
1496
+ },
1497
+ {
1498
+ "epoch": 0.75,
1499
+ "learning_rate": 0.0002568309178743961,
1500
+ "loss": 1.0521,
1501
+ "step": 2340
1502
+ },
1503
+ {
1504
+ "epoch": 0.75,
1505
+ "learning_rate": 0.00025663768115942025,
1506
+ "loss": 1.057,
1507
+ "step": 2350
1508
+ },
1509
+ {
1510
+ "epoch": 0.76,
1511
+ "learning_rate": 0.0002564444444444444,
1512
+ "loss": 1.0675,
1513
+ "step": 2360
1514
+ },
1515
+ {
1516
+ "epoch": 0.76,
1517
+ "learning_rate": 0.0002562512077294686,
1518
+ "loss": 1.1029,
1519
+ "step": 2370
1520
+ },
1521
+ {
1522
+ "epoch": 0.76,
1523
+ "learning_rate": 0.00025605797101449273,
1524
+ "loss": 1.0636,
1525
+ "step": 2380
1526
+ },
1527
+ {
1528
+ "epoch": 0.76,
1529
+ "learning_rate": 0.0002558647342995169,
1530
+ "loss": 1.0586,
1531
+ "step": 2390
1532
+ },
1533
+ {
1534
+ "epoch": 0.77,
1535
+ "learning_rate": 0.000255671497584541,
1536
+ "loss": 1.0517,
1537
+ "step": 2400
1538
+ },
1539
+ {
1540
+ "epoch": 0.77,
1541
+ "eval_loss": 1.0638346672058105,
1542
+ "eval_runtime": 305.5987,
1543
+ "eval_samples_per_second": 6.545,
1544
+ "eval_steps_per_second": 0.818,
1545
+ "step": 2400
1546
+ },
1547
+ {
1548
+ "epoch": 0.77,
1549
+ "learning_rate": 0.00025547826086956516,
1550
+ "loss": 1.0955,
1551
+ "step": 2410
1552
+ },
1553
+ {
1554
+ "epoch": 0.77,
1555
+ "learning_rate": 0.00025528502415458936,
1556
+ "loss": 1.0724,
1557
+ "step": 2420
1558
+ },
1559
+ {
1560
+ "epoch": 0.78,
1561
+ "learning_rate": 0.0002550917874396135,
1562
+ "loss": 1.0682,
1563
+ "step": 2430
1564
+ },
1565
+ {
1566
+ "epoch": 0.78,
1567
+ "learning_rate": 0.00025489855072463764,
1568
+ "loss": 1.0906,
1569
+ "step": 2440
1570
+ },
1571
+ {
1572
+ "epoch": 0.78,
1573
+ "learning_rate": 0.0002547053140096618,
1574
+ "loss": 1.0637,
1575
+ "step": 2450
1576
+ },
1577
+ {
1578
+ "epoch": 0.79,
1579
+ "learning_rate": 0.00025451207729468593,
1580
+ "loss": 1.0794,
1581
+ "step": 2460
1582
+ },
1583
+ {
1584
+ "epoch": 0.79,
1585
+ "learning_rate": 0.0002543188405797101,
1586
+ "loss": 1.0554,
1587
+ "step": 2470
1588
+ },
1589
+ {
1590
+ "epoch": 0.79,
1591
+ "learning_rate": 0.00025412560386473427,
1592
+ "loss": 1.1048,
1593
+ "step": 2480
1594
+ },
1595
+ {
1596
+ "epoch": 0.8,
1597
+ "learning_rate": 0.0002539323671497584,
1598
+ "loss": 1.0526,
1599
+ "step": 2490
1600
+ },
1601
+ {
1602
+ "epoch": 0.8,
1603
+ "learning_rate": 0.00025373913043478255,
1604
+ "loss": 1.1208,
1605
+ "step": 2500
1606
+ },
1607
+ {
1608
+ "epoch": 0.8,
1609
+ "learning_rate": 0.00025354589371980675,
1610
+ "loss": 1.058,
1611
+ "step": 2510
1612
+ },
1613
+ {
1614
+ "epoch": 0.81,
1615
+ "learning_rate": 0.0002533526570048309,
1616
+ "loss": 1.0374,
1617
+ "step": 2520
1618
+ },
1619
+ {
1620
+ "epoch": 0.81,
1621
+ "learning_rate": 0.00025315942028985504,
1622
+ "loss": 1.0768,
1623
+ "step": 2530
1624
+ },
1625
+ {
1626
+ "epoch": 0.81,
1627
+ "learning_rate": 0.0002529661835748792,
1628
+ "loss": 1.0313,
1629
+ "step": 2540
1630
+ },
1631
+ {
1632
+ "epoch": 0.82,
1633
+ "learning_rate": 0.0002527729468599033,
1634
+ "loss": 1.0322,
1635
+ "step": 2550
1636
+ },
1637
+ {
1638
+ "epoch": 0.82,
1639
+ "learning_rate": 0.0002525797101449275,
1640
+ "loss": 1.0753,
1641
+ "step": 2560
1642
+ },
1643
+ {
1644
+ "epoch": 0.82,
1645
+ "learning_rate": 0.00025238647342995166,
1646
+ "loss": 1.0702,
1647
+ "step": 2570
1648
+ },
1649
+ {
1650
+ "epoch": 0.83,
1651
+ "learning_rate": 0.0002521932367149758,
1652
+ "loss": 1.0889,
1653
+ "step": 2580
1654
+ },
1655
+ {
1656
+ "epoch": 0.83,
1657
+ "learning_rate": 0.00025199999999999995,
1658
+ "loss": 1.0907,
1659
+ "step": 2590
1660
+ },
1661
+ {
1662
+ "epoch": 0.83,
1663
+ "learning_rate": 0.00025180676328502414,
1664
+ "loss": 1.0813,
1665
+ "step": 2600
1666
+ },
1667
+ {
1668
+ "epoch": 0.83,
1669
+ "eval_loss": 1.06317138671875,
1670
+ "eval_runtime": 301.103,
1671
+ "eval_samples_per_second": 6.642,
1672
+ "eval_steps_per_second": 0.83,
1673
+ "step": 2600
1674
+ },
1675
+ {
1676
+ "epoch": 0.84,
1677
+ "learning_rate": 0.0002516135265700483,
1678
+ "loss": 1.0696,
1679
+ "step": 2610
1680
+ },
1681
+ {
1682
+ "epoch": 0.84,
1683
+ "learning_rate": 0.00025142028985507243,
1684
+ "loss": 1.05,
1685
+ "step": 2620
1686
+ },
1687
+ {
1688
+ "epoch": 0.84,
1689
+ "learning_rate": 0.00025122705314009657,
1690
+ "loss": 1.049,
1691
+ "step": 2630
1692
+ },
1693
+ {
1694
+ "epoch": 0.84,
1695
+ "learning_rate": 0.0002510338164251207,
1696
+ "loss": 1.0756,
1697
+ "step": 2640
1698
+ },
1699
+ {
1700
+ "epoch": 0.85,
1701
+ "learning_rate": 0.0002508405797101449,
1702
+ "loss": 1.0656,
1703
+ "step": 2650
1704
+ },
1705
+ {
1706
+ "epoch": 0.85,
1707
+ "learning_rate": 0.00025064734299516905,
1708
+ "loss": 1.0376,
1709
+ "step": 2660
1710
+ },
1711
+ {
1712
+ "epoch": 0.85,
1713
+ "learning_rate": 0.0002504541062801932,
1714
+ "loss": 1.0677,
1715
+ "step": 2670
1716
+ },
1717
+ {
1718
+ "epoch": 0.86,
1719
+ "learning_rate": 0.00025026086956521734,
1720
+ "loss": 1.0488,
1721
+ "step": 2680
1722
+ },
1723
+ {
1724
+ "epoch": 0.86,
1725
+ "learning_rate": 0.00025006763285024153,
1726
+ "loss": 1.0751,
1727
+ "step": 2690
1728
+ },
1729
+ {
1730
+ "epoch": 0.86,
1731
+ "learning_rate": 0.0002498743961352657,
1732
+ "loss": 1.054,
1733
+ "step": 2700
1734
+ },
1735
+ {
1736
+ "epoch": 0.87,
1737
+ "learning_rate": 0.0002496811594202898,
1738
+ "loss": 1.0478,
1739
+ "step": 2710
1740
+ },
1741
+ {
1742
+ "epoch": 0.87,
1743
+ "learning_rate": 0.00024948792270531396,
1744
+ "loss": 1.0872,
1745
+ "step": 2720
1746
+ },
1747
+ {
1748
+ "epoch": 0.87,
1749
+ "learning_rate": 0.0002492946859903381,
1750
+ "loss": 1.0308,
1751
+ "step": 2730
1752
+ },
1753
+ {
1754
+ "epoch": 0.88,
1755
+ "learning_rate": 0.0002491014492753623,
1756
+ "loss": 1.0349,
1757
+ "step": 2740
1758
+ },
1759
+ {
1760
+ "epoch": 0.88,
1761
+ "learning_rate": 0.00024890821256038644,
1762
+ "loss": 1.0775,
1763
+ "step": 2750
1764
+ },
1765
+ {
1766
+ "epoch": 0.88,
1767
+ "learning_rate": 0.0002487149758454106,
1768
+ "loss": 1.1327,
1769
+ "step": 2760
1770
+ },
1771
+ {
1772
+ "epoch": 0.89,
1773
+ "learning_rate": 0.00024852173913043473,
1774
+ "loss": 1.0442,
1775
+ "step": 2770
1776
+ },
1777
+ {
1778
+ "epoch": 0.89,
1779
+ "learning_rate": 0.0002483285024154589,
1780
+ "loss": 1.0428,
1781
+ "step": 2780
1782
+ },
1783
+ {
1784
+ "epoch": 0.89,
1785
+ "learning_rate": 0.00024813526570048307,
1786
+ "loss": 1.0661,
1787
+ "step": 2790
1788
+ },
1789
+ {
1790
+ "epoch": 0.9,
1791
+ "learning_rate": 0.0002479420289855072,
1792
+ "loss": 1.1036,
1793
+ "step": 2800
1794
+ },
1795
+ {
1796
+ "epoch": 0.9,
1797
+ "eval_loss": 1.0611621141433716,
1798
+ "eval_runtime": 303.5211,
1799
+ "eval_samples_per_second": 6.589,
1800
+ "eval_steps_per_second": 0.824,
1801
+ "step": 2800
1802
+ },
1803
+ {
1804
+ "epoch": 0.9,
1805
+ "learning_rate": 0.00024774879227053135,
1806
+ "loss": 1.0631,
1807
+ "step": 2810
1808
+ },
1809
+ {
1810
+ "epoch": 0.9,
1811
+ "learning_rate": 0.0002475555555555555,
1812
+ "loss": 1.0571,
1813
+ "step": 2820
1814
+ },
1815
+ {
1816
+ "epoch": 0.91,
1817
+ "learning_rate": 0.0002473623188405797,
1818
+ "loss": 1.0389,
1819
+ "step": 2830
1820
+ },
1821
+ {
1822
+ "epoch": 0.91,
1823
+ "learning_rate": 0.00024716908212560383,
1824
+ "loss": 1.0354,
1825
+ "step": 2840
1826
+ },
1827
+ {
1828
+ "epoch": 0.91,
1829
+ "learning_rate": 0.000246975845410628,
1830
+ "loss": 1.0385,
1831
+ "step": 2850
1832
+ },
1833
+ {
1834
+ "epoch": 0.92,
1835
+ "learning_rate": 0.0002467826086956521,
1836
+ "loss": 1.0689,
1837
+ "step": 2860
1838
+ },
1839
+ {
1840
+ "epoch": 0.92,
1841
+ "learning_rate": 0.0002465893719806763,
1842
+ "loss": 1.0414,
1843
+ "step": 2870
1844
+ },
1845
+ {
1846
+ "epoch": 0.92,
1847
+ "learning_rate": 0.00024639613526570046,
1848
+ "loss": 1.069,
1849
+ "step": 2880
1850
+ },
1851
+ {
1852
+ "epoch": 0.92,
1853
+ "learning_rate": 0.0002462028985507246,
1854
+ "loss": 1.0096,
1855
+ "step": 2890
1856
+ },
1857
+ {
1858
+ "epoch": 0.93,
1859
+ "learning_rate": 0.00024600966183574874,
1860
+ "loss": 1.0859,
1861
+ "step": 2900
1862
+ },
1863
+ {
1864
+ "epoch": 0.93,
1865
+ "learning_rate": 0.00024581642512077294,
1866
+ "loss": 1.0518,
1867
+ "step": 2910
1868
+ },
1869
+ {
1870
+ "epoch": 0.93,
1871
+ "learning_rate": 0.0002456231884057971,
1872
+ "loss": 1.0696,
1873
+ "step": 2920
1874
+ },
1875
+ {
1876
+ "epoch": 0.94,
1877
+ "learning_rate": 0.0002454299516908212,
1878
+ "loss": 1.0559,
1879
+ "step": 2930
1880
+ },
1881
+ {
1882
+ "epoch": 0.94,
1883
+ "learning_rate": 0.00024523671497584537,
1884
+ "loss": 1.0453,
1885
+ "step": 2940
1886
+ },
1887
+ {
1888
+ "epoch": 0.94,
1889
+ "learning_rate": 0.0002450434782608695,
1890
+ "loss": 1.0325,
1891
+ "step": 2950
1892
+ },
1893
+ {
1894
+ "epoch": 0.95,
1895
+ "learning_rate": 0.0002448502415458937,
1896
+ "loss": 1.1118,
1897
+ "step": 2960
1898
+ },
1899
+ {
1900
+ "epoch": 0.95,
1901
+ "learning_rate": 0.00024465700483091785,
1902
+ "loss": 1.0666,
1903
+ "step": 2970
1904
+ },
1905
+ {
1906
+ "epoch": 0.95,
1907
+ "learning_rate": 0.000244463768115942,
1908
+ "loss": 1.0467,
1909
+ "step": 2980
1910
+ },
1911
+ {
1912
+ "epoch": 0.96,
1913
+ "learning_rate": 0.00024427053140096614,
1914
+ "loss": 1.0605,
1915
+ "step": 2990
1916
+ },
1917
+ {
1918
+ "epoch": 0.96,
1919
+ "learning_rate": 0.00024407729468599033,
1920
+ "loss": 1.0787,
1921
+ "step": 3000
1922
+ },
1923
+ {
1924
+ "epoch": 0.96,
1925
+ "eval_loss": 1.0607348680496216,
1926
+ "eval_runtime": 301.6471,
1927
+ "eval_samples_per_second": 6.63,
1928
+ "eval_steps_per_second": 0.829,
1929
+ "step": 3000
1930
+ },
1931
+ {
1932
+ "epoch": 0.96,
1933
+ "learning_rate": 0.00024388405797101448,
1934
+ "loss": 1.0407,
1935
+ "step": 3010
1936
+ },
1937
+ {
1938
+ "epoch": 0.97,
1939
+ "learning_rate": 0.00024369082125603862,
1940
+ "loss": 1.0713,
1941
+ "step": 3020
1942
+ },
1943
+ {
1944
+ "epoch": 0.97,
1945
+ "learning_rate": 0.00024349758454106276,
1946
+ "loss": 1.0489,
1947
+ "step": 3030
1948
+ },
1949
+ {
1950
+ "epoch": 0.97,
1951
+ "learning_rate": 0.00024330434782608693,
1952
+ "loss": 1.0443,
1953
+ "step": 3040
1954
+ },
1955
+ {
1956
+ "epoch": 0.98,
1957
+ "learning_rate": 0.0002431111111111111,
1958
+ "loss": 1.0606,
1959
+ "step": 3050
1960
+ },
1961
+ {
1962
+ "epoch": 0.98,
1963
+ "learning_rate": 0.00024291787439613524,
1964
+ "loss": 1.0929,
1965
+ "step": 3060
1966
+ },
1967
+ {
1968
+ "epoch": 0.98,
1969
+ "learning_rate": 0.00024272463768115938,
1970
+ "loss": 1.0656,
1971
+ "step": 3070
1972
+ },
1973
+ {
1974
+ "epoch": 0.99,
1975
+ "learning_rate": 0.00024253140096618355,
1976
+ "loss": 1.0528,
1977
+ "step": 3080
1978
+ },
1979
+ {
1980
+ "epoch": 0.99,
1981
+ "learning_rate": 0.00024233816425120772,
1982
+ "loss": 1.1073,
1983
+ "step": 3090
1984
+ },
1985
+ {
1986
+ "epoch": 0.99,
1987
+ "learning_rate": 0.00024214492753623187,
1988
+ "loss": 1.0326,
1989
+ "step": 3100
1990
+ },
1991
+ {
1992
+ "epoch": 1.0,
1993
+ "learning_rate": 0.000241951690821256,
1994
+ "loss": 1.0446,
1995
+ "step": 3110
1996
+ },
1997
+ {
1998
+ "epoch": 1.0,
1999
+ "learning_rate": 0.00024175845410628015,
2000
+ "loss": 1.0253,
2001
+ "step": 3120
2002
+ },
2003
+ {
2004
+ "epoch": 1.0,
2005
+ "learning_rate": 0.00024156521739130432,
2006
+ "loss": 1.0186,
2007
+ "step": 3130
2008
+ },
2009
+ {
2010
+ "epoch": 1.0,
2011
+ "learning_rate": 0.0002413719806763285,
2012
+ "loss": 1.0226,
2013
+ "step": 3140
2014
+ },
2015
+ {
2016
+ "epoch": 1.01,
2017
+ "learning_rate": 0.00024117874396135263,
2018
+ "loss": 0.9921,
2019
+ "step": 3150
2020
+ },
2021
+ {
2022
+ "epoch": 1.01,
2023
+ "learning_rate": 0.00024098550724637678,
2024
+ "loss": 0.9769,
2025
+ "step": 3160
2026
+ },
2027
+ {
2028
+ "epoch": 1.01,
2029
+ "learning_rate": 0.00024079227053140095,
2030
+ "loss": 1.0191,
2031
+ "step": 3170
2032
+ },
2033
+ {
2034
+ "epoch": 1.02,
2035
+ "learning_rate": 0.00024059903381642512,
2036
+ "loss": 1.0193,
2037
+ "step": 3180
2038
+ },
2039
+ {
2040
+ "epoch": 1.02,
2041
+ "learning_rate": 0.00024040579710144926,
2042
+ "loss": 1.0023,
2043
+ "step": 3190
2044
+ },
2045
+ {
2046
+ "epoch": 1.02,
2047
+ "learning_rate": 0.0002402125603864734,
2048
+ "loss": 1.0317,
2049
+ "step": 3200
2050
+ },
2051
+ {
2052
+ "epoch": 1.02,
2053
+ "eval_loss": 1.0621122121810913,
2054
+ "eval_runtime": 301.2241,
2055
+ "eval_samples_per_second": 6.64,
2056
+ "eval_steps_per_second": 0.83,
2057
+ "step": 3200
2058
+ },
2059
+ {
2060
+ "epoch": 1.03,
2061
+ "learning_rate": 0.00024001932367149754,
2062
+ "loss": 1.0001,
2063
+ "step": 3210
2064
+ },
2065
+ {
2066
+ "epoch": 1.03,
2067
+ "learning_rate": 0.00023982608695652174,
2068
+ "loss": 0.9865,
2069
+ "step": 3220
2070
+ },
2071
+ {
2072
+ "epoch": 1.03,
2073
+ "learning_rate": 0.00023963285024154588,
2074
+ "loss": 0.9851,
2075
+ "step": 3230
2076
+ },
2077
+ {
2078
+ "epoch": 1.04,
2079
+ "learning_rate": 0.00023943961352657002,
2080
+ "loss": 1.017,
2081
+ "step": 3240
2082
+ },
2083
+ {
2084
+ "epoch": 1.04,
2085
+ "learning_rate": 0.00023924637681159417,
2086
+ "loss": 1.0149,
2087
+ "step": 3250
2088
+ },
2089
+ {
2090
+ "epoch": 1.04,
2091
+ "learning_rate": 0.0002390531400966183,
2092
+ "loss": 0.9958,
2093
+ "step": 3260
2094
+ },
2095
+ {
2096
+ "epoch": 1.05,
2097
+ "learning_rate": 0.0002388599033816425,
2098
+ "loss": 1.0346,
2099
+ "step": 3270
2100
+ },
2101
+ {
2102
+ "epoch": 1.05,
2103
+ "learning_rate": 0.00023866666666666665,
2104
+ "loss": 1.0612,
2105
+ "step": 3280
2106
+ },
2107
+ {
2108
+ "epoch": 1.05,
2109
+ "learning_rate": 0.0002384734299516908,
2110
+ "loss": 0.9862,
2111
+ "step": 3290
2112
+ },
2113
+ {
2114
+ "epoch": 1.06,
2115
+ "learning_rate": 0.00023828019323671493,
2116
+ "loss": 0.9982,
2117
+ "step": 3300
2118
+ },
2119
+ {
2120
+ "epoch": 1.06,
2121
+ "learning_rate": 0.00023808695652173913,
2122
+ "loss": 1.046,
2123
+ "step": 3310
2124
+ },
2125
+ {
2126
+ "epoch": 1.06,
2127
+ "learning_rate": 0.00023789371980676327,
2128
+ "loss": 1.0176,
2129
+ "step": 3320
2130
+ },
2131
+ {
2132
+ "epoch": 1.07,
2133
+ "learning_rate": 0.00023770048309178742,
2134
+ "loss": 0.9974,
2135
+ "step": 3330
2136
+ },
2137
+ {
2138
+ "epoch": 1.07,
2139
+ "learning_rate": 0.00023750724637681156,
2140
+ "loss": 1.0194,
2141
+ "step": 3340
2142
+ },
2143
+ {
2144
+ "epoch": 1.07,
2145
+ "learning_rate": 0.0002373140096618357,
2146
+ "loss": 1.0272,
2147
+ "step": 3350
2148
+ },
2149
+ {
2150
+ "epoch": 1.08,
2151
+ "learning_rate": 0.0002371207729468599,
2152
+ "loss": 1.0707,
2153
+ "step": 3360
2154
+ },
2155
+ {
2156
+ "epoch": 1.08,
2157
+ "learning_rate": 0.00023692753623188404,
2158
+ "loss": 0.9941,
2159
+ "step": 3370
2160
+ },
2161
+ {
2162
+ "epoch": 1.08,
2163
+ "learning_rate": 0.00023673429951690818,
2164
+ "loss": 1.0298,
2165
+ "step": 3380
2166
+ },
2167
+ {
2168
+ "epoch": 1.08,
2169
+ "learning_rate": 0.00023654106280193233,
2170
+ "loss": 1.0192,
2171
+ "step": 3390
2172
+ },
2173
+ {
2174
+ "epoch": 1.09,
2175
+ "learning_rate": 0.00023634782608695652,
2176
+ "loss": 0.99,
2177
+ "step": 3400
2178
+ },
2179
+ {
2180
+ "epoch": 1.09,
2181
+ "eval_loss": 1.0633840560913086,
2182
+ "eval_runtime": 301.1449,
2183
+ "eval_samples_per_second": 6.641,
2184
+ "eval_steps_per_second": 0.83,
2185
+ "step": 3400
2186
+ },
2187
+ {
2188
+ "epoch": 1.09,
2189
+ "learning_rate": 0.00023615458937198067,
2190
+ "loss": 1.0316,
2191
+ "step": 3410
2192
+ },
2193
+ {
2194
+ "epoch": 1.09,
2195
+ "learning_rate": 0.0002359613526570048,
2196
+ "loss": 0.9605,
2197
+ "step": 3420
2198
+ },
2199
+ {
2200
+ "epoch": 1.1,
2201
+ "learning_rate": 0.00023576811594202895,
2202
+ "loss": 0.9902,
2203
+ "step": 3430
2204
+ },
2205
+ {
2206
+ "epoch": 1.1,
2207
+ "learning_rate": 0.0002355748792270531,
2208
+ "loss": 0.99,
2209
+ "step": 3440
2210
+ },
2211
+ {
2212
+ "epoch": 1.1,
2213
+ "learning_rate": 0.0002353816425120773,
2214
+ "loss": 0.9923,
2215
+ "step": 3450
2216
+ },
2217
+ {
2218
+ "epoch": 1.11,
2219
+ "learning_rate": 0.00023518840579710143,
2220
+ "loss": 0.993,
2221
+ "step": 3460
2222
+ },
2223
+ {
2224
+ "epoch": 1.11,
2225
+ "learning_rate": 0.00023499516908212557,
2226
+ "loss": 1.0103,
2227
+ "step": 3470
2228
+ },
2229
+ {
2230
+ "epoch": 1.11,
2231
+ "learning_rate": 0.00023480193236714972,
2232
+ "loss": 1.0536,
2233
+ "step": 3480
2234
+ },
2235
+ {
2236
+ "epoch": 1.12,
2237
+ "learning_rate": 0.00023460869565217391,
2238
+ "loss": 0.9961,
2239
+ "step": 3490
2240
+ },
2241
+ {
2242
+ "epoch": 1.12,
2243
+ "learning_rate": 0.00023441545893719806,
2244
+ "loss": 1.0461,
2245
+ "step": 3500
2246
+ },
2247
+ {
2248
+ "epoch": 1.12,
2249
+ "learning_rate": 0.0002342222222222222,
2250
+ "loss": 0.9959,
2251
+ "step": 3510
2252
+ },
2253
+ {
2254
+ "epoch": 1.13,
2255
+ "learning_rate": 0.00023402898550724634,
2256
+ "loss": 0.9932,
2257
+ "step": 3520
2258
+ },
2259
+ {
2260
+ "epoch": 1.13,
2261
+ "learning_rate": 0.00023383574879227054,
2262
+ "loss": 1.0258,
2263
+ "step": 3530
2264
+ },
2265
+ {
2266
+ "epoch": 1.13,
2267
+ "learning_rate": 0.00023364251207729468,
2268
+ "loss": 1.0591,
2269
+ "step": 3540
2270
+ },
2271
+ {
2272
+ "epoch": 1.14,
2273
+ "learning_rate": 0.00023344927536231882,
2274
+ "loss": 1.0672,
2275
+ "step": 3550
2276
+ },
2277
+ {
2278
+ "epoch": 1.14,
2279
+ "learning_rate": 0.00023325603864734297,
2280
+ "loss": 0.9972,
2281
+ "step": 3560
2282
+ },
2283
+ {
2284
+ "epoch": 1.14,
2285
+ "learning_rate": 0.0002330628019323671,
2286
+ "loss": 1.0063,
2287
+ "step": 3570
2288
+ },
2289
+ {
2290
+ "epoch": 1.15,
2291
+ "learning_rate": 0.0002328695652173913,
2292
+ "loss": 1.0153,
2293
+ "step": 3580
2294
+ },
2295
+ {
2296
+ "epoch": 1.15,
2297
+ "learning_rate": 0.00023267632850241545,
2298
+ "loss": 1.0611,
2299
+ "step": 3590
2300
+ },
2301
+ {
2302
+ "epoch": 1.15,
2303
+ "learning_rate": 0.0002324830917874396,
2304
+ "loss": 1.0215,
2305
+ "step": 3600
2306
+ },
2307
+ {
2308
+ "epoch": 1.15,
2309
+ "eval_loss": 1.0626596212387085,
2310
+ "eval_runtime": 302.4484,
2311
+ "eval_samples_per_second": 6.613,
2312
+ "eval_steps_per_second": 0.827,
2313
+ "step": 3600
2314
+ },
2315
+ {
2316
+ "epoch": 1.16,
2317
+ "learning_rate": 0.00023228985507246373,
2318
+ "loss": 1.0118,
2319
+ "step": 3610
2320
+ },
2321
+ {
2322
+ "epoch": 1.16,
2323
+ "learning_rate": 0.00023209661835748793,
2324
+ "loss": 1.0626,
2325
+ "step": 3620
2326
+ },
2327
+ {
2328
+ "epoch": 1.16,
2329
+ "learning_rate": 0.00023190338164251207,
2330
+ "loss": 1.0051,
2331
+ "step": 3630
2332
+ },
2333
+ {
2334
+ "epoch": 1.16,
2335
+ "learning_rate": 0.00023171014492753622,
2336
+ "loss": 0.9824,
2337
+ "step": 3640
2338
+ },
2339
+ {
2340
+ "epoch": 1.17,
2341
+ "learning_rate": 0.00023151690821256036,
2342
+ "loss": 1.0567,
2343
+ "step": 3650
2344
+ },
2345
+ {
2346
+ "epoch": 1.17,
2347
+ "learning_rate": 0.0002313236714975845,
2348
+ "loss": 1.015,
2349
+ "step": 3660
2350
+ },
2351
+ {
2352
+ "epoch": 1.17,
2353
+ "learning_rate": 0.0002311304347826087,
2354
+ "loss": 1.0129,
2355
+ "step": 3670
2356
+ },
2357
+ {
2358
+ "epoch": 1.18,
2359
+ "learning_rate": 0.00023093719806763284,
2360
+ "loss": 0.9826,
2361
+ "step": 3680
2362
+ },
2363
+ {
2364
+ "epoch": 1.18,
2365
+ "learning_rate": 0.00023074396135265698,
2366
+ "loss": 1.0257,
2367
+ "step": 3690
2368
+ },
2369
+ {
2370
+ "epoch": 1.18,
2371
+ "learning_rate": 0.00023055072463768112,
2372
+ "loss": 1.0426,
2373
+ "step": 3700
2374
+ },
2375
+ {
2376
+ "epoch": 1.19,
2377
+ "learning_rate": 0.00023035748792270532,
2378
+ "loss": 1.0054,
2379
+ "step": 3710
2380
+ },
2381
+ {
2382
+ "epoch": 1.19,
2383
+ "learning_rate": 0.00023016425120772946,
2384
+ "loss": 1.0168,
2385
+ "step": 3720
2386
+ },
2387
+ {
2388
+ "epoch": 1.19,
2389
+ "learning_rate": 0.0002299710144927536,
2390
+ "loss": 1.0,
2391
+ "step": 3730
2392
+ },
2393
+ {
2394
+ "epoch": 1.2,
2395
+ "learning_rate": 0.00022977777777777775,
2396
+ "loss": 1.0138,
2397
+ "step": 3740
2398
+ },
2399
+ {
2400
+ "epoch": 1.2,
2401
+ "learning_rate": 0.0002295845410628019,
2402
+ "loss": 1.0339,
2403
+ "step": 3750
2404
+ },
2405
+ {
2406
+ "epoch": 1.2,
2407
+ "learning_rate": 0.0002293913043478261,
2408
+ "loss": 0.9986,
2409
+ "step": 3760
2410
+ },
2411
+ {
2412
+ "epoch": 1.21,
2413
+ "learning_rate": 0.00022919806763285023,
2414
+ "loss": 1.0171,
2415
+ "step": 3770
2416
+ },
2417
+ {
2418
+ "epoch": 1.21,
2419
+ "learning_rate": 0.00022900483091787437,
2420
+ "loss": 0.9846,
2421
+ "step": 3780
2422
+ },
2423
+ {
2424
+ "epoch": 1.21,
2425
+ "learning_rate": 0.00022881159420289852,
2426
+ "loss": 1.0338,
2427
+ "step": 3790
2428
+ },
2429
+ {
2430
+ "epoch": 1.22,
2431
+ "learning_rate": 0.00022861835748792269,
2432
+ "loss": 1.0161,
2433
+ "step": 3800
2434
+ },
2435
+ {
2436
+ "epoch": 1.22,
2437
+ "eval_loss": 1.0625114440917969,
2438
+ "eval_runtime": 301.9731,
2439
+ "eval_samples_per_second": 6.623,
2440
+ "eval_steps_per_second": 0.828,
2441
+ "step": 3800
2442
+ },
2443
+ {
2444
+ "epoch": 1.22,
2445
+ "learning_rate": 0.00022842512077294686,
2446
+ "loss": 1.0253,
2447
+ "step": 3810
2448
+ },
2449
+ {
2450
+ "epoch": 1.22,
2451
+ "learning_rate": 0.000228231884057971,
2452
+ "loss": 1.0187,
2453
+ "step": 3820
2454
+ },
2455
+ {
2456
+ "epoch": 1.23,
2457
+ "learning_rate": 0.00022803864734299514,
2458
+ "loss": 0.9766,
2459
+ "step": 3830
2460
+ },
2461
+ {
2462
+ "epoch": 1.23,
2463
+ "learning_rate": 0.0002278454106280193,
2464
+ "loss": 1.0336,
2465
+ "step": 3840
2466
+ },
2467
+ {
2468
+ "epoch": 1.23,
2469
+ "learning_rate": 0.00022765217391304348,
2470
+ "loss": 1.0084,
2471
+ "step": 3850
2472
+ },
2473
+ {
2474
+ "epoch": 1.24,
2475
+ "learning_rate": 0.00022745893719806762,
2476
+ "loss": 1.0152,
2477
+ "step": 3860
2478
+ },
2479
+ {
2480
+ "epoch": 1.24,
2481
+ "learning_rate": 0.00022726570048309177,
2482
+ "loss": 0.9628,
2483
+ "step": 3870
2484
+ },
2485
+ {
2486
+ "epoch": 1.24,
2487
+ "learning_rate": 0.0002270724637681159,
2488
+ "loss": 0.9494,
2489
+ "step": 3880
2490
+ },
2491
+ {
2492
+ "epoch": 1.24,
2493
+ "learning_rate": 0.00022687922705314008,
2494
+ "loss": 1.0688,
2495
+ "step": 3890
2496
+ },
2497
+ {
2498
+ "epoch": 1.25,
2499
+ "learning_rate": 0.00022668599033816425,
2500
+ "loss": 1.0242,
2501
+ "step": 3900
2502
+ },
2503
+ {
2504
+ "epoch": 1.25,
2505
+ "learning_rate": 0.0002264927536231884,
2506
+ "loss": 1.0518,
2507
+ "step": 3910
2508
+ },
2509
+ {
2510
+ "epoch": 1.25,
2511
+ "learning_rate": 0.00022629951690821253,
2512
+ "loss": 0.9777,
2513
+ "step": 3920
2514
+ },
2515
+ {
2516
+ "epoch": 1.26,
2517
+ "learning_rate": 0.0002261062801932367,
2518
+ "loss": 0.9929,
2519
+ "step": 3930
2520
+ },
2521
+ {
2522
+ "epoch": 1.26,
2523
+ "learning_rate": 0.00022591304347826084,
2524
+ "loss": 1.0192,
2525
+ "step": 3940
2526
+ },
2527
+ {
2528
+ "epoch": 1.26,
2529
+ "learning_rate": 0.00022571980676328501,
2530
+ "loss": 0.9951,
2531
+ "step": 3950
2532
+ },
2533
+ {
2534
+ "epoch": 1.27,
2535
+ "learning_rate": 0.00022552657004830916,
2536
+ "loss": 1.0014,
2537
+ "step": 3960
2538
+ },
2539
+ {
2540
+ "epoch": 1.27,
2541
+ "learning_rate": 0.0002253333333333333,
2542
+ "loss": 1.035,
2543
+ "step": 3970
2544
+ },
2545
+ {
2546
+ "epoch": 1.27,
2547
+ "learning_rate": 0.00022514009661835747,
2548
+ "loss": 0.9909,
2549
+ "step": 3980
2550
+ },
2551
+ {
2552
+ "epoch": 1.28,
2553
+ "learning_rate": 0.00022494685990338164,
2554
+ "loss": 1.0372,
2555
+ "step": 3990
2556
+ },
2557
+ {
2558
+ "epoch": 1.28,
2559
+ "learning_rate": 0.00022475362318840578,
2560
+ "loss": 0.992,
2561
+ "step": 4000
2562
+ },
2563
+ {
2564
+ "epoch": 1.28,
2565
+ "eval_loss": 1.0622905492782593,
2566
+ "eval_runtime": 303.6073,
2567
+ "eval_samples_per_second": 6.587,
2568
+ "eval_steps_per_second": 0.823,
2569
+ "step": 4000
2570
+ },
2571
+ {
2572
+ "epoch": 1.28,
2573
+ "learning_rate": 0.00022456038647342992,
2574
+ "loss": 1.0224,
2575
+ "step": 4010
2576
+ },
2577
+ {
2578
+ "epoch": 1.29,
2579
+ "learning_rate": 0.0002243671497584541,
2580
+ "loss": 1.0159,
2581
+ "step": 4020
2582
+ },
2583
+ {
2584
+ "epoch": 1.29,
2585
+ "learning_rate": 0.00022417391304347824,
2586
+ "loss": 1.0257,
2587
+ "step": 4030
2588
+ },
2589
+ {
2590
+ "epoch": 1.29,
2591
+ "learning_rate": 0.0002239806763285024,
2592
+ "loss": 1.0391,
2593
+ "step": 4040
2594
+ },
2595
+ {
2596
+ "epoch": 1.3,
2597
+ "learning_rate": 0.00022378743961352655,
2598
+ "loss": 0.9996,
2599
+ "step": 4050
2600
+ },
2601
+ {
2602
+ "epoch": 1.3,
2603
+ "learning_rate": 0.0002235942028985507,
2604
+ "loss": 1.0807,
2605
+ "step": 4060
2606
+ },
2607
+ {
2608
+ "epoch": 1.3,
2609
+ "learning_rate": 0.00022340096618357486,
2610
+ "loss": 0.975,
2611
+ "step": 4070
2612
+ },
2613
+ {
2614
+ "epoch": 1.31,
2615
+ "learning_rate": 0.00022320772946859903,
2616
+ "loss": 1.0069,
2617
+ "step": 4080
2618
+ },
2619
+ {
2620
+ "epoch": 1.31,
2621
+ "learning_rate": 0.00022301449275362317,
2622
+ "loss": 0.9844,
2623
+ "step": 4090
2624
+ },
2625
+ {
2626
+ "epoch": 1.31,
2627
+ "learning_rate": 0.00022282125603864732,
2628
+ "loss": 1.0336,
2629
+ "step": 4100
2630
+ },
2631
+ {
2632
+ "epoch": 1.32,
2633
+ "learning_rate": 0.00022262801932367148,
2634
+ "loss": 1.0124,
2635
+ "step": 4110
2636
+ },
2637
+ {
2638
+ "epoch": 1.32,
2639
+ "learning_rate": 0.00022243478260869563,
2640
+ "loss": 0.9849,
2641
+ "step": 4120
2642
+ },
2643
+ {
2644
+ "epoch": 1.32,
2645
+ "learning_rate": 0.0002222415458937198,
2646
+ "loss": 1.0065,
2647
+ "step": 4130
2648
+ },
2649
+ {
2650
+ "epoch": 1.32,
2651
+ "learning_rate": 0.00022204830917874394,
2652
+ "loss": 1.0319,
2653
+ "step": 4140
2654
+ },
2655
+ {
2656
+ "epoch": 1.33,
2657
+ "learning_rate": 0.00022185507246376808,
2658
+ "loss": 1.0118,
2659
+ "step": 4150
2660
+ },
2661
+ {
2662
+ "epoch": 1.33,
2663
+ "learning_rate": 0.00022166183574879225,
2664
+ "loss": 1.0255,
2665
+ "step": 4160
2666
+ },
2667
+ {
2668
+ "epoch": 1.33,
2669
+ "learning_rate": 0.0002214685990338164,
2670
+ "loss": 0.9649,
2671
+ "step": 4170
2672
+ },
2673
+ {
2674
+ "epoch": 1.34,
2675
+ "learning_rate": 0.00022127536231884056,
2676
+ "loss": 0.9756,
2677
+ "step": 4180
2678
+ },
2679
+ {
2680
+ "epoch": 1.34,
2681
+ "learning_rate": 0.0002210821256038647,
2682
+ "loss": 0.9827,
2683
+ "step": 4190
2684
+ },
2685
+ {
2686
+ "epoch": 1.34,
2687
+ "learning_rate": 0.00022088888888888888,
2688
+ "loss": 1.0245,
2689
+ "step": 4200
2690
+ },
2691
+ {
2692
+ "epoch": 1.34,
2693
+ "eval_loss": 1.0623623132705688,
2694
+ "eval_runtime": 303.2092,
2695
+ "eval_samples_per_second": 6.596,
2696
+ "eval_steps_per_second": 0.825,
2697
+ "step": 4200
2698
+ },
2699
+ {
2700
+ "epoch": 1.35,
2701
+ "learning_rate": 0.00022069565217391302,
2702
+ "loss": 1.0284,
2703
+ "step": 4210
2704
+ },
2705
+ {
2706
+ "epoch": 1.35,
2707
+ "learning_rate": 0.0002205024154589372,
2708
+ "loss": 1.0258,
2709
+ "step": 4220
2710
+ },
2711
+ {
2712
+ "epoch": 1.35,
2713
+ "learning_rate": 0.00022030917874396133,
2714
+ "loss": 1.0665,
2715
+ "step": 4230
2716
+ },
2717
+ {
2718
+ "epoch": 1.36,
2719
+ "learning_rate": 0.0002201159420289855,
2720
+ "loss": 0.9961,
2721
+ "step": 4240
2722
+ },
2723
+ {
2724
+ "epoch": 1.36,
2725
+ "learning_rate": 0.00021992270531400964,
2726
+ "loss": 1.0137,
2727
+ "step": 4250
2728
+ },
2729
+ {
2730
+ "epoch": 1.36,
2731
+ "learning_rate": 0.00021972946859903379,
2732
+ "loss": 0.9965,
2733
+ "step": 4260
2734
+ },
2735
+ {
2736
+ "epoch": 1.37,
2737
+ "learning_rate": 0.00021953623188405796,
2738
+ "loss": 1.0181,
2739
+ "step": 4270
2740
+ },
2741
+ {
2742
+ "epoch": 1.37,
2743
+ "learning_rate": 0.0002193429951690821,
2744
+ "loss": 1.0047,
2745
+ "step": 4280
2746
+ },
2747
+ {
2748
+ "epoch": 1.37,
2749
+ "learning_rate": 0.00021914975845410627,
2750
+ "loss": 1.0193,
2751
+ "step": 4290
2752
+ },
2753
+ {
2754
+ "epoch": 1.38,
2755
+ "learning_rate": 0.0002189565217391304,
2756
+ "loss": 1.011,
2757
+ "step": 4300
2758
+ },
2759
+ {
2760
+ "epoch": 1.38,
2761
+ "learning_rate": 0.00021876328502415458,
2762
+ "loss": 1.0327,
2763
+ "step": 4310
2764
+ },
2765
+ {
2766
+ "epoch": 1.38,
2767
+ "learning_rate": 0.00021857004830917872,
2768
+ "loss": 1.0434,
2769
+ "step": 4320
2770
+ },
2771
+ {
2772
+ "epoch": 1.39,
2773
+ "learning_rate": 0.0002183768115942029,
2774
+ "loss": 1.0138,
2775
+ "step": 4330
2776
+ },
2777
+ {
2778
+ "epoch": 1.39,
2779
+ "learning_rate": 0.00021818357487922703,
2780
+ "loss": 0.9737,
2781
+ "step": 4340
2782
+ },
2783
+ {
2784
+ "epoch": 1.39,
2785
+ "learning_rate": 0.00021799033816425118,
2786
+ "loss": 0.9977,
2787
+ "step": 4350
2788
+ },
2789
+ {
2790
+ "epoch": 1.4,
2791
+ "learning_rate": 0.00021779710144927535,
2792
+ "loss": 1.0181,
2793
+ "step": 4360
2794
+ },
2795
+ {
2796
+ "epoch": 1.4,
2797
+ "learning_rate": 0.0002176038647342995,
2798
+ "loss": 1.0434,
2799
+ "step": 4370
2800
+ },
2801
+ {
2802
+ "epoch": 1.4,
2803
+ "learning_rate": 0.00021741062801932366,
2804
+ "loss": 1.0143,
2805
+ "step": 4380
2806
+ },
2807
+ {
2808
+ "epoch": 1.4,
2809
+ "learning_rate": 0.0002172173913043478,
2810
+ "loss": 0.9786,
2811
+ "step": 4390
2812
+ },
2813
+ {
2814
+ "epoch": 1.41,
2815
+ "learning_rate": 0.00021702415458937194,
2816
+ "loss": 0.9861,
2817
+ "step": 4400
2818
+ },
2819
+ {
2820
+ "epoch": 1.41,
2821
+ "eval_loss": 1.0632884502410889,
2822
+ "eval_runtime": 302.3081,
2823
+ "eval_samples_per_second": 6.616,
2824
+ "eval_steps_per_second": 0.827,
2825
+ "step": 4400
2826
+ },
2827
+ {
2828
+ "epoch": 1.41,
2829
+ "learning_rate": 0.00021683091787439611,
2830
+ "loss": 1.0298,
2831
+ "step": 4410
2832
+ },
2833
+ {
2834
+ "epoch": 1.41,
2835
+ "learning_rate": 0.00021663768115942028,
2836
+ "loss": 1.0203,
2837
+ "step": 4420
2838
+ },
2839
+ {
2840
+ "epoch": 1.42,
2841
+ "learning_rate": 0.00021644444444444443,
2842
+ "loss": 1.0476,
2843
+ "step": 4430
2844
+ },
2845
+ {
2846
+ "epoch": 1.42,
2847
+ "learning_rate": 0.00021625120772946857,
2848
+ "loss": 1.0071,
2849
+ "step": 4440
2850
+ },
2851
+ {
2852
+ "epoch": 1.42,
2853
+ "learning_rate": 0.00021605797101449274,
2854
+ "loss": 1.0125,
2855
+ "step": 4450
2856
+ },
2857
+ {
2858
+ "epoch": 1.43,
2859
+ "learning_rate": 0.00021586473429951688,
2860
+ "loss": 1.0706,
2861
+ "step": 4460
2862
+ },
2863
+ {
2864
+ "epoch": 1.43,
2865
+ "learning_rate": 0.00021567149758454105,
2866
+ "loss": 0.9954,
2867
+ "step": 4470
2868
+ },
2869
+ {
2870
+ "epoch": 1.43,
2871
+ "learning_rate": 0.0002154782608695652,
2872
+ "loss": 1.0229,
2873
+ "step": 4480
2874
+ },
2875
+ {
2876
+ "epoch": 1.44,
2877
+ "learning_rate": 0.00021528502415458934,
2878
+ "loss": 0.9828,
2879
+ "step": 4490
2880
+ },
2881
+ {
2882
+ "epoch": 1.44,
2883
+ "learning_rate": 0.0002150917874396135,
2884
+ "loss": 1.0033,
2885
+ "step": 4500
2886
+ },
2887
+ {
2888
+ "epoch": 1.44,
2889
+ "learning_rate": 0.00021489855072463767,
2890
+ "loss": 1.0132,
2891
+ "step": 4510
2892
+ },
2893
+ {
2894
+ "epoch": 1.45,
2895
+ "learning_rate": 0.00021470531400966182,
2896
+ "loss": 1.0256,
2897
+ "step": 4520
2898
+ },
2899
+ {
2900
+ "epoch": 1.45,
2901
+ "learning_rate": 0.00021451207729468596,
2902
+ "loss": 1.0227,
2903
+ "step": 4530
2904
+ },
2905
+ {
2906
+ "epoch": 1.45,
2907
+ "learning_rate": 0.0002143188405797101,
2908
+ "loss": 1.0434,
2909
+ "step": 4540
2910
+ },
2911
+ {
2912
+ "epoch": 1.46,
2913
+ "learning_rate": 0.0002141256038647343,
2914
+ "loss": 1.0596,
2915
+ "step": 4550
2916
+ },
2917
+ {
2918
+ "epoch": 1.46,
2919
+ "learning_rate": 0.00021393236714975844,
2920
+ "loss": 0.9893,
2921
+ "step": 4560
2922
+ },
2923
+ {
2924
+ "epoch": 1.46,
2925
+ "learning_rate": 0.00021373913043478258,
2926
+ "loss": 1.0225,
2927
+ "step": 4570
2928
+ },
2929
+ {
2930
+ "epoch": 1.47,
2931
+ "learning_rate": 0.00021354589371980673,
2932
+ "loss": 0.981,
2933
+ "step": 4580
2934
+ },
2935
+ {
2936
+ "epoch": 1.47,
2937
+ "learning_rate": 0.0002133526570048309,
2938
+ "loss": 1.0348,
2939
+ "step": 4590
2940
+ },
2941
+ {
2942
+ "epoch": 1.47,
2943
+ "learning_rate": 0.00021315942028985507,
2944
+ "loss": 1.0208,
2945
+ "step": 4600
2946
+ },
2947
+ {
2948
+ "epoch": 1.47,
2949
+ "eval_loss": 1.0610480308532715,
2950
+ "eval_runtime": 302.534,
2951
+ "eval_samples_per_second": 6.611,
2952
+ "eval_steps_per_second": 0.826,
2953
+ "step": 4600
2954
+ },
2955
+ {
2956
+ "epoch": 1.48,
2957
+ "learning_rate": 0.0002129661835748792,
2958
+ "loss": 1.0074,
2959
+ "step": 4610
2960
+ },
2961
+ {
2962
+ "epoch": 1.48,
2963
+ "learning_rate": 0.00021277294685990335,
2964
+ "loss": 1.0173,
2965
+ "step": 4620
2966
+ },
2967
+ {
2968
+ "epoch": 1.48,
2969
+ "learning_rate": 0.0002125797101449275,
2970
+ "loss": 0.9835,
2971
+ "step": 4630
2972
+ },
2973
+ {
2974
+ "epoch": 1.48,
2975
+ "learning_rate": 0.0002123864734299517,
2976
+ "loss": 0.9819,
2977
+ "step": 4640
2978
+ },
2979
+ {
2980
+ "epoch": 1.49,
2981
+ "learning_rate": 0.00021219323671497583,
2982
+ "loss": 1.0399,
2983
+ "step": 4650
2984
+ },
2985
+ {
2986
+ "epoch": 1.49,
2987
+ "learning_rate": 0.00021199999999999998,
2988
+ "loss": 1.0076,
2989
+ "step": 4660
2990
+ },
2991
+ {
2992
+ "epoch": 1.49,
2993
+ "learning_rate": 0.00021180676328502412,
2994
+ "loss": 1.0235,
2995
+ "step": 4670
2996
+ },
2997
+ {
2998
+ "epoch": 1.5,
2999
+ "learning_rate": 0.0002116135265700483,
3000
+ "loss": 1.0269,
3001
+ "step": 4680
3002
+ },
3003
+ {
3004
+ "epoch": 1.5,
3005
+ "learning_rate": 0.00021142028985507246,
3006
+ "loss": 1.0428,
3007
+ "step": 4690
3008
+ },
3009
+ {
3010
+ "epoch": 1.5,
3011
+ "learning_rate": 0.0002112270531400966,
3012
+ "loss": 1.0019,
3013
+ "step": 4700
3014
+ },
3015
+ {
3016
+ "epoch": 1.51,
3017
+ "learning_rate": 0.00021103381642512074,
3018
+ "loss": 0.9701,
3019
+ "step": 4710
3020
+ },
3021
+ {
3022
+ "epoch": 1.51,
3023
+ "learning_rate": 0.00021084057971014489,
3024
+ "loss": 0.977,
3025
+ "step": 4720
3026
+ },
3027
+ {
3028
+ "epoch": 1.51,
3029
+ "learning_rate": 0.00021064734299516908,
3030
+ "loss": 0.9753,
3031
+ "step": 4730
3032
+ },
3033
+ {
3034
+ "epoch": 1.52,
3035
+ "learning_rate": 0.00021045410628019322,
3036
+ "loss": 1.0432,
3037
+ "step": 4740
3038
+ },
3039
+ {
3040
+ "epoch": 1.52,
3041
+ "learning_rate": 0.00021026086956521737,
3042
+ "loss": 1.051,
3043
+ "step": 4750
3044
+ },
3045
+ {
3046
+ "epoch": 1.52,
3047
+ "learning_rate": 0.0002100676328502415,
3048
+ "loss": 1.0301,
3049
+ "step": 4760
3050
+ },
3051
+ {
3052
+ "epoch": 1.53,
3053
+ "learning_rate": 0.00020987439613526565,
3054
+ "loss": 0.9793,
3055
+ "step": 4770
3056
+ },
3057
+ {
3058
+ "epoch": 1.53,
3059
+ "learning_rate": 0.00020968115942028985,
3060
+ "loss": 1.0151,
3061
+ "step": 4780
3062
+ },
3063
+ {
3064
+ "epoch": 1.53,
3065
+ "learning_rate": 0.000209487922705314,
3066
+ "loss": 0.9979,
3067
+ "step": 4790
3068
+ },
3069
+ {
3070
+ "epoch": 1.54,
3071
+ "learning_rate": 0.00020929468599033813,
3072
+ "loss": 1.0126,
3073
+ "step": 4800
3074
+ },
3075
+ {
3076
+ "epoch": 1.54,
3077
+ "eval_loss": 1.0597844123840332,
3078
+ "eval_runtime": 303.6517,
3079
+ "eval_samples_per_second": 6.586,
3080
+ "eval_steps_per_second": 0.823,
3081
+ "step": 4800
3082
+ },
3083
+ {
3084
+ "epoch": 1.54,
3085
+ "learning_rate": 0.00020910144927536228,
3086
+ "loss": 1.0428,
3087
+ "step": 4810
3088
+ },
3089
+ {
3090
+ "epoch": 1.54,
3091
+ "learning_rate": 0.00020890821256038647,
3092
+ "loss": 1.0049,
3093
+ "step": 4820
3094
+ },
3095
+ {
3096
+ "epoch": 1.55,
3097
+ "learning_rate": 0.00020871497584541062,
3098
+ "loss": 1.0006,
3099
+ "step": 4830
3100
+ },
3101
+ {
3102
+ "epoch": 1.55,
3103
+ "learning_rate": 0.00020852173913043476,
3104
+ "loss": 1.022,
3105
+ "step": 4840
3106
+ },
3107
+ {
3108
+ "epoch": 1.55,
3109
+ "learning_rate": 0.0002083285024154589,
3110
+ "loss": 1.0342,
3111
+ "step": 4850
3112
+ },
3113
+ {
3114
+ "epoch": 1.56,
3115
+ "learning_rate": 0.0002081352657004831,
3116
+ "loss": 1.0146,
3117
+ "step": 4860
3118
+ },
3119
+ {
3120
+ "epoch": 1.56,
3121
+ "learning_rate": 0.00020794202898550724,
3122
+ "loss": 1.029,
3123
+ "step": 4870
3124
+ },
3125
+ {
3126
+ "epoch": 1.56,
3127
+ "learning_rate": 0.00020774879227053138,
3128
+ "loss": 1.0381,
3129
+ "step": 4880
3130
+ },
3131
+ {
3132
+ "epoch": 1.56,
3133
+ "learning_rate": 0.00020755555555555553,
3134
+ "loss": 1.0372,
3135
+ "step": 4890
3136
+ },
3137
+ {
3138
+ "epoch": 1.57,
3139
+ "learning_rate": 0.00020736231884057967,
3140
+ "loss": 1.0119,
3141
+ "step": 4900
3142
+ },
3143
+ {
3144
+ "epoch": 1.57,
3145
+ "learning_rate": 0.00020716908212560387,
3146
+ "loss": 1.0797,
3147
+ "step": 4910
3148
+ },
3149
+ {
3150
+ "epoch": 1.57,
3151
+ "learning_rate": 0.000206975845410628,
3152
+ "loss": 0.95,
3153
+ "step": 4920
3154
+ },
3155
+ {
3156
+ "epoch": 1.58,
3157
+ "learning_rate": 0.00020678260869565215,
3158
+ "loss": 1.0012,
3159
+ "step": 4930
3160
+ },
3161
+ {
3162
+ "epoch": 1.58,
3163
+ "learning_rate": 0.0002065893719806763,
3164
+ "loss": 1.0194,
3165
+ "step": 4940
3166
+ },
3167
+ {
3168
+ "epoch": 1.58,
3169
+ "learning_rate": 0.0002063961352657005,
3170
+ "loss": 1.0135,
3171
+ "step": 4950
3172
+ },
3173
+ {
3174
+ "epoch": 1.59,
3175
+ "learning_rate": 0.00020620289855072463,
3176
+ "loss": 1.0294,
3177
+ "step": 4960
3178
+ },
3179
+ {
3180
+ "epoch": 1.59,
3181
+ "learning_rate": 0.00020600966183574877,
3182
+ "loss": 0.9954,
3183
+ "step": 4970
3184
+ },
3185
+ {
3186
+ "epoch": 1.59,
3187
+ "learning_rate": 0.00020581642512077292,
3188
+ "loss": 1.0082,
3189
+ "step": 4980
3190
+ },
3191
+ {
3192
+ "epoch": 1.6,
3193
+ "learning_rate": 0.00020562318840579706,
3194
+ "loss": 1.0343,
3195
+ "step": 4990
3196
+ },
3197
+ {
3198
+ "epoch": 1.6,
3199
+ "learning_rate": 0.00020542995169082126,
3200
+ "loss": 0.9967,
3201
+ "step": 5000
3202
+ },
3203
+ {
3204
+ "epoch": 1.6,
3205
+ "eval_loss": 1.060504674911499,
3206
+ "eval_runtime": 303.6571,
3207
+ "eval_samples_per_second": 6.586,
3208
+ "eval_steps_per_second": 0.823,
3209
+ "step": 5000
3210
+ },
3211
+ {
3212
+ "epoch": 1.6,
3213
+ "learning_rate": 0.0002052367149758454,
3214
+ "loss": 1.0436,
3215
+ "step": 5010
3216
+ },
3217
+ {
3218
+ "epoch": 1.61,
3219
+ "learning_rate": 0.00020504347826086954,
3220
+ "loss": 1.037,
3221
+ "step": 5020
3222
+ },
3223
+ {
3224
+ "epoch": 1.61,
3225
+ "learning_rate": 0.00020485024154589368,
3226
+ "loss": 1.0613,
3227
+ "step": 5030
3228
+ },
3229
+ {
3230
+ "epoch": 1.61,
3231
+ "learning_rate": 0.00020465700483091788,
3232
+ "loss": 1.0305,
3233
+ "step": 5040
3234
+ },
3235
+ {
3236
+ "epoch": 1.62,
3237
+ "learning_rate": 0.00020446376811594202,
3238
+ "loss": 1.0585,
3239
+ "step": 5050
3240
+ },
3241
+ {
3242
+ "epoch": 1.62,
3243
+ "learning_rate": 0.00020427053140096617,
3244
+ "loss": 1.0071,
3245
+ "step": 5060
3246
+ },
3247
+ {
3248
+ "epoch": 1.62,
3249
+ "learning_rate": 0.0002040772946859903,
3250
+ "loss": 0.9929,
3251
+ "step": 5070
3252
+ },
3253
+ {
3254
+ "epoch": 1.63,
3255
+ "learning_rate": 0.00020388405797101445,
3256
+ "loss": 1.051,
3257
+ "step": 5080
3258
+ },
3259
+ {
3260
+ "epoch": 1.63,
3261
+ "learning_rate": 0.00020369082125603865,
3262
+ "loss": 0.9953,
3263
+ "step": 5090
3264
+ },
3265
+ {
3266
+ "epoch": 1.63,
3267
+ "learning_rate": 0.0002034975845410628,
3268
+ "loss": 1.0176,
3269
+ "step": 5100
3270
+ },
3271
+ {
3272
+ "epoch": 1.64,
3273
+ "learning_rate": 0.00020330434782608693,
3274
+ "loss": 1.0107,
3275
+ "step": 5110
3276
+ },
3277
+ {
3278
+ "epoch": 1.64,
3279
+ "learning_rate": 0.00020311111111111108,
3280
+ "loss": 1.0618,
3281
+ "step": 5120
3282
+ },
3283
+ {
3284
+ "epoch": 1.64,
3285
+ "learning_rate": 0.00020291787439613527,
3286
+ "loss": 1.0147,
3287
+ "step": 5130
3288
+ },
3289
+ {
3290
+ "epoch": 1.64,
3291
+ "learning_rate": 0.00020272463768115942,
3292
+ "loss": 0.9754,
3293
+ "step": 5140
3294
+ },
3295
+ {
3296
+ "epoch": 1.65,
3297
+ "learning_rate": 0.00020253140096618356,
3298
+ "loss": 1.0381,
3299
+ "step": 5150
3300
+ },
3301
+ {
3302
+ "epoch": 1.65,
3303
+ "learning_rate": 0.0002023381642512077,
3304
+ "loss": 0.9645,
3305
+ "step": 5160
3306
+ },
3307
+ {
3308
+ "epoch": 1.65,
3309
+ "learning_rate": 0.00020214492753623187,
3310
+ "loss": 0.9645,
3311
+ "step": 5170
3312
+ },
3313
+ {
3314
+ "epoch": 1.66,
3315
+ "learning_rate": 0.00020195169082125604,
3316
+ "loss": 1.0371,
3317
+ "step": 5180
3318
+ },
3319
+ {
3320
+ "epoch": 1.66,
3321
+ "learning_rate": 0.00020175845410628018,
3322
+ "loss": 1.0058,
3323
+ "step": 5190
3324
+ },
3325
+ {
3326
+ "epoch": 1.66,
3327
+ "learning_rate": 0.00020156521739130432,
3328
+ "loss": 1.02,
3329
+ "step": 5200
3330
+ },
3331
+ {
3332
+ "epoch": 1.66,
3333
+ "eval_loss": 1.0592375993728638,
3334
+ "eval_runtime": 303.4125,
3335
+ "eval_samples_per_second": 6.592,
3336
+ "eval_steps_per_second": 0.824,
3337
+ "step": 5200
3338
+ },
3339
+ {
3340
+ "epoch": 1.67,
3341
+ "learning_rate": 0.00020137198067632847,
3342
+ "loss": 1.0409,
3343
+ "step": 5210
3344
+ },
3345
+ {
3346
+ "epoch": 1.67,
3347
+ "learning_rate": 0.00020117874396135266,
3348
+ "loss": 1.0193,
3349
+ "step": 5220
3350
+ },
3351
+ {
3352
+ "epoch": 1.67,
3353
+ "learning_rate": 0.0002009855072463768,
3354
+ "loss": 1.0169,
3355
+ "step": 5230
3356
+ },
3357
+ {
3358
+ "epoch": 1.68,
3359
+ "learning_rate": 0.00020079227053140095,
3360
+ "loss": 1.0484,
3361
+ "step": 5240
3362
+ },
3363
+ {
3364
+ "epoch": 1.68,
3365
+ "learning_rate": 0.0002005990338164251,
3366
+ "loss": 0.9895,
3367
+ "step": 5250
3368
+ },
3369
+ {
3370
+ "epoch": 1.68,
3371
+ "learning_rate": 0.00020040579710144926,
3372
+ "loss": 0.9858,
3373
+ "step": 5260
3374
+ },
3375
+ {
3376
+ "epoch": 1.69,
3377
+ "learning_rate": 0.00020021256038647343,
3378
+ "loss": 0.9993,
3379
+ "step": 5270
3380
+ },
3381
+ {
3382
+ "epoch": 1.69,
3383
+ "learning_rate": 0.00020001932367149757,
3384
+ "loss": 0.9755,
3385
+ "step": 5280
3386
+ },
3387
+ {
3388
+ "epoch": 1.69,
3389
+ "learning_rate": 0.00019982608695652172,
3390
+ "loss": 1.0392,
3391
+ "step": 5290
3392
+ },
3393
+ {
3394
+ "epoch": 1.7,
3395
+ "learning_rate": 0.00019963285024154586,
3396
+ "loss": 1.0123,
3397
+ "step": 5300
3398
+ },
3399
+ {
3400
+ "epoch": 1.7,
3401
+ "learning_rate": 0.00019943961352657003,
3402
+ "loss": 1.0386,
3403
+ "step": 5310
3404
+ },
3405
+ {
3406
+ "epoch": 1.7,
3407
+ "learning_rate": 0.0001992463768115942,
3408
+ "loss": 1.0359,
3409
+ "step": 5320
3410
+ },
3411
+ {
3412
+ "epoch": 1.71,
3413
+ "learning_rate": 0.00019905314009661834,
3414
+ "loss": 1.0003,
3415
+ "step": 5330
3416
+ },
3417
+ {
3418
+ "epoch": 1.71,
3419
+ "learning_rate": 0.00019885990338164248,
3420
+ "loss": 0.9989,
3421
+ "step": 5340
3422
+ },
3423
+ {
3424
+ "epoch": 1.71,
3425
+ "learning_rate": 0.00019866666666666665,
3426
+ "loss": 0.9515,
3427
+ "step": 5350
3428
+ },
3429
+ {
3430
+ "epoch": 1.72,
3431
+ "learning_rate": 0.00019847342995169082,
3432
+ "loss": 1.0035,
3433
+ "step": 5360
3434
+ },
3435
+ {
3436
+ "epoch": 1.72,
3437
+ "learning_rate": 0.00019828019323671497,
3438
+ "loss": 1.0219,
3439
+ "step": 5370
3440
+ },
3441
+ {
3442
+ "epoch": 1.72,
3443
+ "learning_rate": 0.0001980869565217391,
3444
+ "loss": 1.0096,
3445
+ "step": 5380
3446
+ },
3447
+ {
3448
+ "epoch": 1.72,
3449
+ "learning_rate": 0.00019789371980676325,
3450
+ "loss": 1.0077,
3451
+ "step": 5390
3452
+ },
3453
+ {
3454
+ "epoch": 1.73,
3455
+ "learning_rate": 0.00019770048309178742,
3456
+ "loss": 1.0298,
3457
+ "step": 5400
3458
+ },
3459
+ {
3460
+ "epoch": 1.73,
3461
+ "eval_loss": 1.0586228370666504,
3462
+ "eval_runtime": 302.8462,
3463
+ "eval_samples_per_second": 6.604,
3464
+ "eval_steps_per_second": 0.826,
3465
+ "step": 5400
3466
+ },
3467
+ {
3468
+ "epoch": 1.73,
3469
+ "learning_rate": 0.0001975072463768116,
3470
+ "loss": 1.0001,
3471
+ "step": 5410
3472
+ },
3473
+ {
3474
+ "epoch": 1.73,
3475
+ "learning_rate": 0.00019731400966183573,
3476
+ "loss": 1.0465,
3477
+ "step": 5420
3478
+ },
3479
+ {
3480
+ "epoch": 1.74,
3481
+ "learning_rate": 0.00019712077294685987,
3482
+ "loss": 1.0265,
3483
+ "step": 5430
3484
+ },
3485
+ {
3486
+ "epoch": 1.74,
3487
+ "learning_rate": 0.00019692753623188404,
3488
+ "loss": 1.0148,
3489
+ "step": 5440
3490
+ },
3491
+ {
3492
+ "epoch": 1.74,
3493
+ "learning_rate": 0.0001967342995169082,
3494
+ "loss": 0.9763,
3495
+ "step": 5450
3496
+ },
3497
+ {
3498
+ "epoch": 1.75,
3499
+ "learning_rate": 0.00019654106280193236,
3500
+ "loss": 0.9861,
3501
+ "step": 5460
3502
+ },
3503
+ {
3504
+ "epoch": 1.75,
3505
+ "learning_rate": 0.0001963478260869565,
3506
+ "loss": 0.9877,
3507
+ "step": 5470
3508
+ },
3509
+ {
3510
+ "epoch": 1.75,
3511
+ "learning_rate": 0.00019615458937198067,
3512
+ "loss": 0.9489,
3513
+ "step": 5480
3514
+ },
3515
+ {
3516
+ "epoch": 1.76,
3517
+ "learning_rate": 0.0001959613526570048,
3518
+ "loss": 1.0694,
3519
+ "step": 5490
3520
+ },
3521
+ {
3522
+ "epoch": 1.76,
3523
+ "learning_rate": 0.00019576811594202898,
3524
+ "loss": 1.0311,
3525
+ "step": 5500
3526
+ },
3527
+ {
3528
+ "epoch": 1.76,
3529
+ "learning_rate": 0.00019557487922705312,
3530
+ "loss": 1.0494,
3531
+ "step": 5510
3532
+ },
3533
+ {
3534
+ "epoch": 1.77,
3535
+ "learning_rate": 0.00019538164251207727,
3536
+ "loss": 0.9967,
3537
+ "step": 5520
3538
+ },
3539
+ {
3540
+ "epoch": 1.77,
3541
+ "learning_rate": 0.00019518840579710144,
3542
+ "loss": 1.0278,
3543
+ "step": 5530
3544
+ },
3545
+ {
3546
+ "epoch": 1.77,
3547
+ "learning_rate": 0.00019499516908212558,
3548
+ "loss": 1.0384,
3549
+ "step": 5540
3550
+ },
3551
+ {
3552
+ "epoch": 1.78,
3553
+ "learning_rate": 0.00019480193236714975,
3554
+ "loss": 1.0051,
3555
+ "step": 5550
3556
+ },
3557
+ {
3558
+ "epoch": 1.78,
3559
+ "learning_rate": 0.0001946086956521739,
3560
+ "loss": 1.0387,
3561
+ "step": 5560
3562
+ },
3563
+ {
3564
+ "epoch": 1.78,
3565
+ "learning_rate": 0.00019441545893719806,
3566
+ "loss": 1.0094,
3567
+ "step": 5570
3568
+ },
3569
+ {
3570
+ "epoch": 1.79,
3571
+ "learning_rate": 0.0001942222222222222,
3572
+ "loss": 1.0155,
3573
+ "step": 5580
3574
+ },
3575
+ {
3576
+ "epoch": 1.79,
3577
+ "learning_rate": 0.00019402898550724637,
3578
+ "loss": 1.0104,
3579
+ "step": 5590
3580
+ },
3581
+ {
3582
+ "epoch": 1.79,
3583
+ "learning_rate": 0.00019383574879227052,
3584
+ "loss": 1.0264,
3585
+ "step": 5600
3586
+ },
3587
+ {
3588
+ "epoch": 1.79,
3589
+ "eval_loss": 1.058441162109375,
3590
+ "eval_runtime": 301.1664,
3591
+ "eval_samples_per_second": 6.641,
3592
+ "eval_steps_per_second": 0.83,
3593
+ "step": 5600
3594
+ },
3595
+ {
3596
+ "epoch": 1.8,
3597
+ "learning_rate": 0.00019364251207729466,
3598
+ "loss": 0.9823,
3599
+ "step": 5610
3600
+ },
3601
+ {
3602
+ "epoch": 1.8,
3603
+ "learning_rate": 0.00019344927536231883,
3604
+ "loss": 0.9871,
3605
+ "step": 5620
3606
+ },
3607
+ {
3608
+ "epoch": 1.8,
3609
+ "learning_rate": 0.00019325603864734297,
3610
+ "loss": 1.022,
3611
+ "step": 5630
3612
+ },
3613
+ {
3614
+ "epoch": 1.8,
3615
+ "learning_rate": 0.00019306280193236714,
3616
+ "loss": 1.0128,
3617
+ "step": 5640
3618
+ },
3619
+ {
3620
+ "epoch": 1.81,
3621
+ "learning_rate": 0.00019286956521739128,
3622
+ "loss": 1.0502,
3623
+ "step": 5650
3624
+ },
3625
+ {
3626
+ "epoch": 1.81,
3627
+ "learning_rate": 0.00019267632850241545,
3628
+ "loss": 1.0427,
3629
+ "step": 5660
3630
+ },
3631
+ {
3632
+ "epoch": 1.81,
3633
+ "learning_rate": 0.0001924830917874396,
3634
+ "loss": 1.0088,
3635
+ "step": 5670
3636
+ },
3637
+ {
3638
+ "epoch": 1.82,
3639
+ "learning_rate": 0.00019228985507246374,
3640
+ "loss": 1.0319,
3641
+ "step": 5680
3642
+ },
3643
+ {
3644
+ "epoch": 1.82,
3645
+ "learning_rate": 0.0001920966183574879,
3646
+ "loss": 1.02,
3647
+ "step": 5690
3648
+ },
3649
+ {
3650
+ "epoch": 1.82,
3651
+ "learning_rate": 0.00019190338164251205,
3652
+ "loss": 1.0376,
3653
+ "step": 5700
3654
+ },
3655
+ {
3656
+ "epoch": 1.83,
3657
+ "learning_rate": 0.00019171014492753622,
3658
+ "loss": 1.0233,
3659
+ "step": 5710
3660
+ },
3661
+ {
3662
+ "epoch": 1.83,
3663
+ "learning_rate": 0.00019151690821256036,
3664
+ "loss": 1.0285,
3665
+ "step": 5720
3666
+ },
3667
+ {
3668
+ "epoch": 1.83,
3669
+ "learning_rate": 0.00019132367149758453,
3670
+ "loss": 1.0579,
3671
+ "step": 5730
3672
+ },
3673
+ {
3674
+ "epoch": 1.84,
3675
+ "learning_rate": 0.00019113043478260867,
3676
+ "loss": 1.0542,
3677
+ "step": 5740
3678
+ },
3679
+ {
3680
+ "epoch": 1.84,
3681
+ "learning_rate": 0.00019093719806763284,
3682
+ "loss": 1.0427,
3683
+ "step": 5750
3684
+ },
3685
+ {
3686
+ "epoch": 1.84,
3687
+ "learning_rate": 0.00019074396135265699,
3688
+ "loss": 0.9983,
3689
+ "step": 5760
3690
+ },
3691
+ {
3692
+ "epoch": 1.85,
3693
+ "learning_rate": 0.00019055072463768113,
3694
+ "loss": 1.0145,
3695
+ "step": 5770
3696
+ },
3697
+ {
3698
+ "epoch": 1.85,
3699
+ "learning_rate": 0.0001903574879227053,
3700
+ "loss": 1.0471,
3701
+ "step": 5780
3702
+ },
3703
+ {
3704
+ "epoch": 1.85,
3705
+ "learning_rate": 0.00019016425120772947,
3706
+ "loss": 1.0436,
3707
+ "step": 5790
3708
+ },
3709
+ {
3710
+ "epoch": 1.86,
3711
+ "learning_rate": 0.0001899710144927536,
3712
+ "loss": 1.0312,
3713
+ "step": 5800
3714
+ },
3715
+ {
3716
+ "epoch": 1.86,
3717
+ "eval_loss": 1.056977391242981,
3718
+ "eval_runtime": 105.8988,
3719
+ "eval_samples_per_second": 18.886,
3720
+ "eval_steps_per_second": 2.361,
3721
+ "step": 5800
3722
+ },
3723
+ {
3724
+ "epoch": 1.86,
3725
+ "learning_rate": 0.00018977777777777775,
3726
+ "loss": 0.9989,
3727
+ "step": 5810
3728
+ },
3729
+ {
3730
+ "epoch": 1.86,
3731
+ "learning_rate": 0.00018958454106280192,
3732
+ "loss": 1.0022,
3733
+ "step": 5820
3734
+ },
3735
+ {
3736
+ "epoch": 1.87,
3737
+ "learning_rate": 0.00018939130434782606,
3738
+ "loss": 1.0295,
3739
+ "step": 5830
3740
+ },
3741
+ {
3742
+ "epoch": 1.87,
3743
+ "learning_rate": 0.00018919806763285023,
3744
+ "loss": 1.0644,
3745
+ "step": 5840
3746
+ },
3747
+ {
3748
+ "epoch": 1.87,
3749
+ "learning_rate": 0.00018900483091787438,
3750
+ "loss": 1.0238,
3751
+ "step": 5850
3752
+ },
3753
+ {
3754
+ "epoch": 1.88,
3755
+ "learning_rate": 0.00018881159420289852,
3756
+ "loss": 1.06,
3757
+ "step": 5860
3758
+ },
3759
+ {
3760
+ "epoch": 1.88,
3761
+ "learning_rate": 0.0001886183574879227,
3762
+ "loss": 0.9779,
3763
+ "step": 5870
3764
+ },
3765
+ {
3766
+ "epoch": 1.88,
3767
+ "learning_rate": 0.00018842512077294686,
3768
+ "loss": 1.0072,
3769
+ "step": 5880
3770
+ },
3771
+ {
3772
+ "epoch": 1.88,
3773
+ "learning_rate": 0.000188231884057971,
3774
+ "loss": 1.0261,
3775
+ "step": 5890
3776
+ },
3777
+ {
3778
+ "epoch": 1.89,
3779
+ "learning_rate": 0.00018803864734299514,
3780
+ "loss": 1.0632,
3781
+ "step": 5900
3782
+ },
3783
+ {
3784
+ "epoch": 1.89,
3785
+ "learning_rate": 0.0001878454106280193,
3786
+ "loss": 0.9929,
3787
+ "step": 5910
3788
+ },
3789
+ {
3790
+ "epoch": 1.89,
3791
+ "learning_rate": 0.00018765217391304346,
3792
+ "loss": 0.9593,
3793
+ "step": 5920
3794
+ },
3795
+ {
3796
+ "epoch": 1.9,
3797
+ "learning_rate": 0.00018745893719806763,
3798
+ "loss": 1.051,
3799
+ "step": 5930
3800
+ },
3801
+ {
3802
+ "epoch": 1.9,
3803
+ "learning_rate": 0.00018726570048309177,
3804
+ "loss": 1.0117,
3805
+ "step": 5940
3806
+ },
3807
+ {
3808
+ "epoch": 1.9,
3809
+ "learning_rate": 0.0001870724637681159,
3810
+ "loss": 1.041,
3811
+ "step": 5950
3812
+ },
3813
+ {
3814
+ "epoch": 1.91,
3815
+ "learning_rate": 0.00018687922705314008,
3816
+ "loss": 0.9918,
3817
+ "step": 5960
3818
+ },
3819
+ {
3820
+ "epoch": 1.91,
3821
+ "learning_rate": 0.00018668599033816425,
3822
+ "loss": 1.0187,
3823
+ "step": 5970
3824
+ },
3825
+ {
3826
+ "epoch": 1.91,
3827
+ "learning_rate": 0.0001864927536231884,
3828
+ "loss": 1.0205,
3829
+ "step": 5980
3830
+ },
3831
+ {
3832
+ "epoch": 1.92,
3833
+ "learning_rate": 0.00018629951690821254,
3834
+ "loss": 1.0267,
3835
+ "step": 5990
3836
+ },
3837
+ {
3838
+ "epoch": 1.92,
3839
+ "learning_rate": 0.00018610628019323668,
3840
+ "loss": 1.0381,
3841
+ "step": 6000
3842
+ },
3843
+ {
3844
+ "epoch": 1.92,
3845
+ "eval_loss": 1.0564384460449219,
3846
+ "eval_runtime": 105.9283,
3847
+ "eval_samples_per_second": 18.881,
3848
+ "eval_steps_per_second": 2.36,
3849
+ "step": 6000
3850
+ }
3851
+ ],
3852
+ "logging_steps": 10,
3853
+ "max_steps": 15625,
3854
+ "num_train_epochs": 5,
3855
+ "save_steps": 200,
3856
+ "total_flos": 6.618622281779773e+17,
3857
+ "trial_name": null,
3858
+ "trial_params": null
3859
+ }
alpaca_text_52K/best_model/training_args.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:a09cbbfbe6d6c002252235b4476abb50ae8f0d55947cd46a53991e96578a822e
3
+ size 4027