Muhammad Khalifa
commited on
Commit
·
c4f009c
1
Parent(s):
99cb18a
add llama 2 13B alpaqca
Browse files- text_models/llama-2-13b/best_model/adapter_config.json +21 -0
- text_models/llama-2-13b/best_model/adapter_model.bin +3 -0
- text_models/llama-2-13b/best_model/optimizer.pt +3 -0
- text_models/llama-2-13b/best_model/rng_state.pth +3 -0
- text_models/llama-2-13b/best_model/scheduler.pt +3 -0
- text_models/llama-2-13b/best_model/trainer_state.json +1811 -0
- text_models/llama-2-13b/best_model/training_args.bin +3 -0
text_models/llama-2-13b/best_model/adapter_config.json
ADDED
|
@@ -0,0 +1,21 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"base_model_name_or_path": "NousResearch/Llama-2-13b-hf",
|
| 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 |
+
}
|
text_models/llama-2-13b/best_model/adapter_model.bin
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:26c639990d44f621124ab332166a312f55a74a31ce968fed0bf4025fbdd67943
|
| 3 |
+
size 104973389
|
text_models/llama-2-13b/best_model/optimizer.pt
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:52e93f15ed6de6254762463e2f47f8968bbdde6663699e64593d7a3696a30bb0
|
| 3 |
+
size 209984517
|
text_models/llama-2-13b/best_model/rng_state.pth
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:450d35f81387194759fe85acf4c25f8b61d4b757565f8d66b4dde749027a68e4
|
| 3 |
+
size 14575
|
text_models/llama-2-13b/best_model/scheduler.pt
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:1cc6dae27a4febc82f7e8b57b82cc10c001bd89b4cd9a206eb08faa6b21c39f6
|
| 3 |
+
size 627
|
text_models/llama-2-13b/best_model/trainer_state.json
ADDED
|
@@ -0,0 +1,1811 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"best_metric": 1.0179498195648193,
|
| 3 |
+
"best_model_checkpoint": "checkpoints/instrucode/text_models/llama-2-13b/checkpoint-2800",
|
| 4 |
+
"epoch": 0.8959283257339413,
|
| 5 |
+
"eval_steps": 200,
|
| 6 |
+
"global_step": 2800,
|
| 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": 1.8454,
|
| 15 |
+
"step": 10
|
| 16 |
+
},
|
| 17 |
+
{
|
| 18 |
+
"epoch": 0.01,
|
| 19 |
+
"learning_rate": 5.6999999999999996e-05,
|
| 20 |
+
"loss": 1.8044,
|
| 21 |
+
"step": 20
|
| 22 |
+
},
|
| 23 |
+
{
|
| 24 |
+
"epoch": 0.01,
|
| 25 |
+
"learning_rate": 8.4e-05,
|
| 26 |
+
"loss": 1.507,
|
| 27 |
+
"step": 30
|
| 28 |
+
},
|
| 29 |
+
{
|
| 30 |
+
"epoch": 0.01,
|
| 31 |
+
"learning_rate": 0.00011399999999999999,
|
| 32 |
+
"loss": 1.1827,
|
| 33 |
+
"step": 40
|
| 34 |
+
},
|
| 35 |
+
{
|
| 36 |
+
"epoch": 0.02,
|
| 37 |
+
"learning_rate": 0.00014399999999999998,
|
| 38 |
+
"loss": 1.0971,
|
| 39 |
+
"step": 50
|
| 40 |
+
},
|
| 41 |
+
{
|
| 42 |
+
"epoch": 0.02,
|
| 43 |
+
"learning_rate": 0.00017399999999999997,
|
| 44 |
+
"loss": 1.0697,
|
| 45 |
+
"step": 60
|
| 46 |
+
},
|
| 47 |
+
{
|
| 48 |
+
"epoch": 0.02,
|
| 49 |
+
"learning_rate": 0.000204,
|
| 50 |
+
"loss": 1.0575,
|
| 51 |
+
"step": 70
|
| 52 |
+
},
|
| 53 |
+
{
|
| 54 |
+
"epoch": 0.03,
|
| 55 |
+
"learning_rate": 0.000234,
|
| 56 |
+
"loss": 1.05,
|
| 57 |
+
"step": 80
|
| 58 |
+
},
|
| 59 |
+
{
|
| 60 |
+
"epoch": 0.03,
|
| 61 |
+
"learning_rate": 0.000261,
|
| 62 |
+
"loss": 1.0358,
|
| 63 |
+
"step": 90
|
| 64 |
+
},
|
| 65 |
+
{
|
| 66 |
+
"epoch": 0.03,
|
| 67 |
+
"learning_rate": 0.00029099999999999997,
|
| 68 |
+
"loss": 1.0837,
|
| 69 |
+
"step": 100
|
| 70 |
+
},
|
| 71 |
+
{
|
| 72 |
+
"epoch": 0.04,
|
| 73 |
+
"learning_rate": 0.00029986473429951686,
|
| 74 |
+
"loss": 1.0567,
|
| 75 |
+
"step": 110
|
| 76 |
+
},
|
| 77 |
+
{
|
| 78 |
+
"epoch": 0.04,
|
| 79 |
+
"learning_rate": 0.000299671497584541,
|
| 80 |
+
"loss": 1.0588,
|
| 81 |
+
"step": 120
|
| 82 |
+
},
|
| 83 |
+
{
|
| 84 |
+
"epoch": 0.04,
|
| 85 |
+
"learning_rate": 0.0002994782608695652,
|
| 86 |
+
"loss": 1.0403,
|
| 87 |
+
"step": 130
|
| 88 |
+
},
|
| 89 |
+
{
|
| 90 |
+
"epoch": 0.04,
|
| 91 |
+
"learning_rate": 0.00029928502415458934,
|
| 92 |
+
"loss": 1.085,
|
| 93 |
+
"step": 140
|
| 94 |
+
},
|
| 95 |
+
{
|
| 96 |
+
"epoch": 0.05,
|
| 97 |
+
"learning_rate": 0.0002990917874396135,
|
| 98 |
+
"loss": 1.0444,
|
| 99 |
+
"step": 150
|
| 100 |
+
},
|
| 101 |
+
{
|
| 102 |
+
"epoch": 0.05,
|
| 103 |
+
"learning_rate": 0.00029889855072463763,
|
| 104 |
+
"loss": 1.0612,
|
| 105 |
+
"step": 160
|
| 106 |
+
},
|
| 107 |
+
{
|
| 108 |
+
"epoch": 0.05,
|
| 109 |
+
"learning_rate": 0.0002987053140096618,
|
| 110 |
+
"loss": 1.0615,
|
| 111 |
+
"step": 170
|
| 112 |
+
},
|
| 113 |
+
{
|
| 114 |
+
"epoch": 0.06,
|
| 115 |
+
"learning_rate": 0.00029851207729468597,
|
| 116 |
+
"loss": 1.0609,
|
| 117 |
+
"step": 180
|
| 118 |
+
},
|
| 119 |
+
{
|
| 120 |
+
"epoch": 0.06,
|
| 121 |
+
"learning_rate": 0.0002983188405797101,
|
| 122 |
+
"loss": 1.0435,
|
| 123 |
+
"step": 190
|
| 124 |
+
},
|
| 125 |
+
{
|
| 126 |
+
"epoch": 0.06,
|
| 127 |
+
"learning_rate": 0.00029812560386473425,
|
| 128 |
+
"loss": 1.0539,
|
| 129 |
+
"step": 200
|
| 130 |
+
},
|
| 131 |
+
{
|
| 132 |
+
"epoch": 0.06,
|
| 133 |
+
"eval_loss": 1.0482171773910522,
|
| 134 |
+
"eval_runtime": 155.5549,
|
| 135 |
+
"eval_samples_per_second": 12.857,
|
| 136 |
+
"eval_steps_per_second": 1.607,
|
| 137 |
+
"step": 200
|
| 138 |
+
},
|
| 139 |
+
{
|
| 140 |
+
"epoch": 0.07,
|
| 141 |
+
"learning_rate": 0.00029793236714975845,
|
| 142 |
+
"loss": 1.0065,
|
| 143 |
+
"step": 210
|
| 144 |
+
},
|
| 145 |
+
{
|
| 146 |
+
"epoch": 0.07,
|
| 147 |
+
"learning_rate": 0.0002977391304347826,
|
| 148 |
+
"loss": 1.0197,
|
| 149 |
+
"step": 220
|
| 150 |
+
},
|
| 151 |
+
{
|
| 152 |
+
"epoch": 0.07,
|
| 153 |
+
"learning_rate": 0.00029754589371980674,
|
| 154 |
+
"loss": 1.0223,
|
| 155 |
+
"step": 230
|
| 156 |
+
},
|
| 157 |
+
{
|
| 158 |
+
"epoch": 0.08,
|
| 159 |
+
"learning_rate": 0.0002973526570048309,
|
| 160 |
+
"loss": 1.0403,
|
| 161 |
+
"step": 240
|
| 162 |
+
},
|
| 163 |
+
{
|
| 164 |
+
"epoch": 0.08,
|
| 165 |
+
"learning_rate": 0.000297159420289855,
|
| 166 |
+
"loss": 1.012,
|
| 167 |
+
"step": 250
|
| 168 |
+
},
|
| 169 |
+
{
|
| 170 |
+
"epoch": 0.08,
|
| 171 |
+
"learning_rate": 0.0002969661835748792,
|
| 172 |
+
"loss": 1.0601,
|
| 173 |
+
"step": 260
|
| 174 |
+
},
|
| 175 |
+
{
|
| 176 |
+
"epoch": 0.09,
|
| 177 |
+
"learning_rate": 0.00029677294685990336,
|
| 178 |
+
"loss": 0.9868,
|
| 179 |
+
"step": 270
|
| 180 |
+
},
|
| 181 |
+
{
|
| 182 |
+
"epoch": 0.09,
|
| 183 |
+
"learning_rate": 0.0002965797101449275,
|
| 184 |
+
"loss": 1.0102,
|
| 185 |
+
"step": 280
|
| 186 |
+
},
|
| 187 |
+
{
|
| 188 |
+
"epoch": 0.09,
|
| 189 |
+
"learning_rate": 0.00029638647342995165,
|
| 190 |
+
"loss": 1.0128,
|
| 191 |
+
"step": 290
|
| 192 |
+
},
|
| 193 |
+
{
|
| 194 |
+
"epoch": 0.1,
|
| 195 |
+
"learning_rate": 0.00029619323671497584,
|
| 196 |
+
"loss": 1.0341,
|
| 197 |
+
"step": 300
|
| 198 |
+
},
|
| 199 |
+
{
|
| 200 |
+
"epoch": 0.1,
|
| 201 |
+
"learning_rate": 0.000296,
|
| 202 |
+
"loss": 1.0528,
|
| 203 |
+
"step": 310
|
| 204 |
+
},
|
| 205 |
+
{
|
| 206 |
+
"epoch": 0.1,
|
| 207 |
+
"learning_rate": 0.00029580676328502413,
|
| 208 |
+
"loss": 1.0241,
|
| 209 |
+
"step": 320
|
| 210 |
+
},
|
| 211 |
+
{
|
| 212 |
+
"epoch": 0.11,
|
| 213 |
+
"learning_rate": 0.00029561352657004827,
|
| 214 |
+
"loss": 1.0447,
|
| 215 |
+
"step": 330
|
| 216 |
+
},
|
| 217 |
+
{
|
| 218 |
+
"epoch": 0.11,
|
| 219 |
+
"learning_rate": 0.0002954202898550724,
|
| 220 |
+
"loss": 1.0127,
|
| 221 |
+
"step": 340
|
| 222 |
+
},
|
| 223 |
+
{
|
| 224 |
+
"epoch": 0.11,
|
| 225 |
+
"learning_rate": 0.0002952270531400966,
|
| 226 |
+
"loss": 1.0284,
|
| 227 |
+
"step": 350
|
| 228 |
+
},
|
| 229 |
+
{
|
| 230 |
+
"epoch": 0.12,
|
| 231 |
+
"learning_rate": 0.00029503381642512075,
|
| 232 |
+
"loss": 1.0415,
|
| 233 |
+
"step": 360
|
| 234 |
+
},
|
| 235 |
+
{
|
| 236 |
+
"epoch": 0.12,
|
| 237 |
+
"learning_rate": 0.0002948405797101449,
|
| 238 |
+
"loss": 1.057,
|
| 239 |
+
"step": 370
|
| 240 |
+
},
|
| 241 |
+
{
|
| 242 |
+
"epoch": 0.12,
|
| 243 |
+
"learning_rate": 0.00029464734299516904,
|
| 244 |
+
"loss": 1.0175,
|
| 245 |
+
"step": 380
|
| 246 |
+
},
|
| 247 |
+
{
|
| 248 |
+
"epoch": 0.12,
|
| 249 |
+
"learning_rate": 0.00029445410628019323,
|
| 250 |
+
"loss": 1.0623,
|
| 251 |
+
"step": 390
|
| 252 |
+
},
|
| 253 |
+
{
|
| 254 |
+
"epoch": 0.13,
|
| 255 |
+
"learning_rate": 0.0002942608695652174,
|
| 256 |
+
"loss": 1.0163,
|
| 257 |
+
"step": 400
|
| 258 |
+
},
|
| 259 |
+
{
|
| 260 |
+
"epoch": 0.13,
|
| 261 |
+
"eval_loss": 1.037875771522522,
|
| 262 |
+
"eval_runtime": 155.5921,
|
| 263 |
+
"eval_samples_per_second": 12.854,
|
| 264 |
+
"eval_steps_per_second": 1.607,
|
| 265 |
+
"step": 400
|
| 266 |
+
},
|
| 267 |
+
{
|
| 268 |
+
"epoch": 0.13,
|
| 269 |
+
"learning_rate": 0.0002940676328502415,
|
| 270 |
+
"loss": 1.0738,
|
| 271 |
+
"step": 410
|
| 272 |
+
},
|
| 273 |
+
{
|
| 274 |
+
"epoch": 0.13,
|
| 275 |
+
"learning_rate": 0.00029387439613526566,
|
| 276 |
+
"loss": 1.0522,
|
| 277 |
+
"step": 420
|
| 278 |
+
},
|
| 279 |
+
{
|
| 280 |
+
"epoch": 0.14,
|
| 281 |
+
"learning_rate": 0.0002936811594202898,
|
| 282 |
+
"loss": 1.0204,
|
| 283 |
+
"step": 430
|
| 284 |
+
},
|
| 285 |
+
{
|
| 286 |
+
"epoch": 0.14,
|
| 287 |
+
"learning_rate": 0.000293487922705314,
|
| 288 |
+
"loss": 1.05,
|
| 289 |
+
"step": 440
|
| 290 |
+
},
|
| 291 |
+
{
|
| 292 |
+
"epoch": 0.14,
|
| 293 |
+
"learning_rate": 0.00029329468599033814,
|
| 294 |
+
"loss": 1.0065,
|
| 295 |
+
"step": 450
|
| 296 |
+
},
|
| 297 |
+
{
|
| 298 |
+
"epoch": 0.15,
|
| 299 |
+
"learning_rate": 0.0002931014492753623,
|
| 300 |
+
"loss": 1.0789,
|
| 301 |
+
"step": 460
|
| 302 |
+
},
|
| 303 |
+
{
|
| 304 |
+
"epoch": 0.15,
|
| 305 |
+
"learning_rate": 0.00029290821256038643,
|
| 306 |
+
"loss": 1.0547,
|
| 307 |
+
"step": 470
|
| 308 |
+
},
|
| 309 |
+
{
|
| 310 |
+
"epoch": 0.15,
|
| 311 |
+
"learning_rate": 0.0002927149758454106,
|
| 312 |
+
"loss": 1.0315,
|
| 313 |
+
"step": 480
|
| 314 |
+
},
|
| 315 |
+
{
|
| 316 |
+
"epoch": 0.16,
|
| 317 |
+
"learning_rate": 0.00029252173913043477,
|
| 318 |
+
"loss": 1.0516,
|
| 319 |
+
"step": 490
|
| 320 |
+
},
|
| 321 |
+
{
|
| 322 |
+
"epoch": 0.16,
|
| 323 |
+
"learning_rate": 0.0002923285024154589,
|
| 324 |
+
"loss": 1.0288,
|
| 325 |
+
"step": 500
|
| 326 |
+
},
|
| 327 |
+
{
|
| 328 |
+
"epoch": 0.16,
|
| 329 |
+
"learning_rate": 0.00029213526570048305,
|
| 330 |
+
"loss": 1.0698,
|
| 331 |
+
"step": 510
|
| 332 |
+
},
|
| 333 |
+
{
|
| 334 |
+
"epoch": 0.17,
|
| 335 |
+
"learning_rate": 0.00029194202898550725,
|
| 336 |
+
"loss": 1.0411,
|
| 337 |
+
"step": 520
|
| 338 |
+
},
|
| 339 |
+
{
|
| 340 |
+
"epoch": 0.17,
|
| 341 |
+
"learning_rate": 0.0002917487922705314,
|
| 342 |
+
"loss": 0.98,
|
| 343 |
+
"step": 530
|
| 344 |
+
},
|
| 345 |
+
{
|
| 346 |
+
"epoch": 0.17,
|
| 347 |
+
"learning_rate": 0.00029155555555555553,
|
| 348 |
+
"loss": 1.0629,
|
| 349 |
+
"step": 540
|
| 350 |
+
},
|
| 351 |
+
{
|
| 352 |
+
"epoch": 0.18,
|
| 353 |
+
"learning_rate": 0.0002913623188405797,
|
| 354 |
+
"loss": 0.9911,
|
| 355 |
+
"step": 550
|
| 356 |
+
},
|
| 357 |
+
{
|
| 358 |
+
"epoch": 0.18,
|
| 359 |
+
"learning_rate": 0.0002911690821256038,
|
| 360 |
+
"loss": 1.0405,
|
| 361 |
+
"step": 560
|
| 362 |
+
},
|
| 363 |
+
{
|
| 364 |
+
"epoch": 0.18,
|
| 365 |
+
"learning_rate": 0.000290975845410628,
|
| 366 |
+
"loss": 1.0156,
|
| 367 |
+
"step": 570
|
| 368 |
+
},
|
| 369 |
+
{
|
| 370 |
+
"epoch": 0.19,
|
| 371 |
+
"learning_rate": 0.00029078260869565216,
|
| 372 |
+
"loss": 1.0208,
|
| 373 |
+
"step": 580
|
| 374 |
+
},
|
| 375 |
+
{
|
| 376 |
+
"epoch": 0.19,
|
| 377 |
+
"learning_rate": 0.0002905893719806763,
|
| 378 |
+
"loss": 1.0496,
|
| 379 |
+
"step": 590
|
| 380 |
+
},
|
| 381 |
+
{
|
| 382 |
+
"epoch": 0.19,
|
| 383 |
+
"learning_rate": 0.00029039613526570044,
|
| 384 |
+
"loss": 1.064,
|
| 385 |
+
"step": 600
|
| 386 |
+
},
|
| 387 |
+
{
|
| 388 |
+
"epoch": 0.19,
|
| 389 |
+
"eval_loss": 1.035084843635559,
|
| 390 |
+
"eval_runtime": 155.5047,
|
| 391 |
+
"eval_samples_per_second": 12.861,
|
| 392 |
+
"eval_steps_per_second": 1.608,
|
| 393 |
+
"step": 600
|
| 394 |
+
},
|
| 395 |
+
{
|
| 396 |
+
"epoch": 0.2,
|
| 397 |
+
"learning_rate": 0.00029020289855072464,
|
| 398 |
+
"loss": 1.0018,
|
| 399 |
+
"step": 610
|
| 400 |
+
},
|
| 401 |
+
{
|
| 402 |
+
"epoch": 0.2,
|
| 403 |
+
"learning_rate": 0.0002900096618357488,
|
| 404 |
+
"loss": 1.0337,
|
| 405 |
+
"step": 620
|
| 406 |
+
},
|
| 407 |
+
{
|
| 408 |
+
"epoch": 0.2,
|
| 409 |
+
"learning_rate": 0.0002898164251207729,
|
| 410 |
+
"loss": 1.0067,
|
| 411 |
+
"step": 630
|
| 412 |
+
},
|
| 413 |
+
{
|
| 414 |
+
"epoch": 0.2,
|
| 415 |
+
"learning_rate": 0.00028962318840579707,
|
| 416 |
+
"loss": 1.0422,
|
| 417 |
+
"step": 640
|
| 418 |
+
},
|
| 419 |
+
{
|
| 420 |
+
"epoch": 0.21,
|
| 421 |
+
"learning_rate": 0.0002894299516908212,
|
| 422 |
+
"loss": 0.9804,
|
| 423 |
+
"step": 650
|
| 424 |
+
},
|
| 425 |
+
{
|
| 426 |
+
"epoch": 0.21,
|
| 427 |
+
"learning_rate": 0.0002892367149758454,
|
| 428 |
+
"loss": 1.0381,
|
| 429 |
+
"step": 660
|
| 430 |
+
},
|
| 431 |
+
{
|
| 432 |
+
"epoch": 0.21,
|
| 433 |
+
"learning_rate": 0.00028904347826086955,
|
| 434 |
+
"loss": 1.0252,
|
| 435 |
+
"step": 670
|
| 436 |
+
},
|
| 437 |
+
{
|
| 438 |
+
"epoch": 0.22,
|
| 439 |
+
"learning_rate": 0.0002888502415458937,
|
| 440 |
+
"loss": 1.0213,
|
| 441 |
+
"step": 680
|
| 442 |
+
},
|
| 443 |
+
{
|
| 444 |
+
"epoch": 0.22,
|
| 445 |
+
"learning_rate": 0.00028865700483091784,
|
| 446 |
+
"loss": 1.0747,
|
| 447 |
+
"step": 690
|
| 448 |
+
},
|
| 449 |
+
{
|
| 450 |
+
"epoch": 0.22,
|
| 451 |
+
"learning_rate": 0.00028846376811594203,
|
| 452 |
+
"loss": 1.0647,
|
| 453 |
+
"step": 700
|
| 454 |
+
},
|
| 455 |
+
{
|
| 456 |
+
"epoch": 0.23,
|
| 457 |
+
"learning_rate": 0.0002882705314009662,
|
| 458 |
+
"loss": 1.0133,
|
| 459 |
+
"step": 710
|
| 460 |
+
},
|
| 461 |
+
{
|
| 462 |
+
"epoch": 0.23,
|
| 463 |
+
"learning_rate": 0.0002880772946859903,
|
| 464 |
+
"loss": 1.0453,
|
| 465 |
+
"step": 720
|
| 466 |
+
},
|
| 467 |
+
{
|
| 468 |
+
"epoch": 0.23,
|
| 469 |
+
"learning_rate": 0.00028788405797101446,
|
| 470 |
+
"loss": 1.0131,
|
| 471 |
+
"step": 730
|
| 472 |
+
},
|
| 473 |
+
{
|
| 474 |
+
"epoch": 0.24,
|
| 475 |
+
"learning_rate": 0.0002876908212560386,
|
| 476 |
+
"loss": 1.0185,
|
| 477 |
+
"step": 740
|
| 478 |
+
},
|
| 479 |
+
{
|
| 480 |
+
"epoch": 0.24,
|
| 481 |
+
"learning_rate": 0.0002874975845410628,
|
| 482 |
+
"loss": 0.9947,
|
| 483 |
+
"step": 750
|
| 484 |
+
},
|
| 485 |
+
{
|
| 486 |
+
"epoch": 0.24,
|
| 487 |
+
"learning_rate": 0.00028730434782608694,
|
| 488 |
+
"loss": 1.0273,
|
| 489 |
+
"step": 760
|
| 490 |
+
},
|
| 491 |
+
{
|
| 492 |
+
"epoch": 0.25,
|
| 493 |
+
"learning_rate": 0.0002871111111111111,
|
| 494 |
+
"loss": 1.0582,
|
| 495 |
+
"step": 770
|
| 496 |
+
},
|
| 497 |
+
{
|
| 498 |
+
"epoch": 0.25,
|
| 499 |
+
"learning_rate": 0.00028691787439613523,
|
| 500 |
+
"loss": 0.9851,
|
| 501 |
+
"step": 780
|
| 502 |
+
},
|
| 503 |
+
{
|
| 504 |
+
"epoch": 0.25,
|
| 505 |
+
"learning_rate": 0.0002867246376811594,
|
| 506 |
+
"loss": 1.0683,
|
| 507 |
+
"step": 790
|
| 508 |
+
},
|
| 509 |
+
{
|
| 510 |
+
"epoch": 0.26,
|
| 511 |
+
"learning_rate": 0.00028653140096618357,
|
| 512 |
+
"loss": 1.0849,
|
| 513 |
+
"step": 800
|
| 514 |
+
},
|
| 515 |
+
{
|
| 516 |
+
"epoch": 0.26,
|
| 517 |
+
"eval_loss": 1.0320836305618286,
|
| 518 |
+
"eval_runtime": 155.6154,
|
| 519 |
+
"eval_samples_per_second": 12.852,
|
| 520 |
+
"eval_steps_per_second": 1.607,
|
| 521 |
+
"step": 800
|
| 522 |
+
},
|
| 523 |
+
{
|
| 524 |
+
"epoch": 0.26,
|
| 525 |
+
"learning_rate": 0.0002863381642512077,
|
| 526 |
+
"loss": 1.029,
|
| 527 |
+
"step": 810
|
| 528 |
+
},
|
| 529 |
+
{
|
| 530 |
+
"epoch": 0.26,
|
| 531 |
+
"learning_rate": 0.00028614492753623185,
|
| 532 |
+
"loss": 0.9788,
|
| 533 |
+
"step": 820
|
| 534 |
+
},
|
| 535 |
+
{
|
| 536 |
+
"epoch": 0.27,
|
| 537 |
+
"learning_rate": 0.00028595169082125605,
|
| 538 |
+
"loss": 0.9943,
|
| 539 |
+
"step": 830
|
| 540 |
+
},
|
| 541 |
+
{
|
| 542 |
+
"epoch": 0.27,
|
| 543 |
+
"learning_rate": 0.0002857584541062802,
|
| 544 |
+
"loss": 1.0384,
|
| 545 |
+
"step": 840
|
| 546 |
+
},
|
| 547 |
+
{
|
| 548 |
+
"epoch": 0.27,
|
| 549 |
+
"learning_rate": 0.00028556521739130433,
|
| 550 |
+
"loss": 1.0553,
|
| 551 |
+
"step": 850
|
| 552 |
+
},
|
| 553 |
+
{
|
| 554 |
+
"epoch": 0.28,
|
| 555 |
+
"learning_rate": 0.0002853719806763285,
|
| 556 |
+
"loss": 1.044,
|
| 557 |
+
"step": 860
|
| 558 |
+
},
|
| 559 |
+
{
|
| 560 |
+
"epoch": 0.28,
|
| 561 |
+
"learning_rate": 0.0002851787439613526,
|
| 562 |
+
"loss": 1.0023,
|
| 563 |
+
"step": 870
|
| 564 |
+
},
|
| 565 |
+
{
|
| 566 |
+
"epoch": 0.28,
|
| 567 |
+
"learning_rate": 0.0002849855072463768,
|
| 568 |
+
"loss": 1.0155,
|
| 569 |
+
"step": 880
|
| 570 |
+
},
|
| 571 |
+
{
|
| 572 |
+
"epoch": 0.28,
|
| 573 |
+
"learning_rate": 0.00028479227053140096,
|
| 574 |
+
"loss": 1.0201,
|
| 575 |
+
"step": 890
|
| 576 |
+
},
|
| 577 |
+
{
|
| 578 |
+
"epoch": 0.29,
|
| 579 |
+
"learning_rate": 0.0002845990338164251,
|
| 580 |
+
"loss": 1.0142,
|
| 581 |
+
"step": 900
|
| 582 |
+
},
|
| 583 |
+
{
|
| 584 |
+
"epoch": 0.29,
|
| 585 |
+
"learning_rate": 0.00028440579710144924,
|
| 586 |
+
"loss": 1.0334,
|
| 587 |
+
"step": 910
|
| 588 |
+
},
|
| 589 |
+
{
|
| 590 |
+
"epoch": 0.29,
|
| 591 |
+
"learning_rate": 0.00028421256038647344,
|
| 592 |
+
"loss": 0.9959,
|
| 593 |
+
"step": 920
|
| 594 |
+
},
|
| 595 |
+
{
|
| 596 |
+
"epoch": 0.3,
|
| 597 |
+
"learning_rate": 0.0002840193236714976,
|
| 598 |
+
"loss": 1.0047,
|
| 599 |
+
"step": 930
|
| 600 |
+
},
|
| 601 |
+
{
|
| 602 |
+
"epoch": 0.3,
|
| 603 |
+
"learning_rate": 0.0002838260869565217,
|
| 604 |
+
"loss": 1.0466,
|
| 605 |
+
"step": 940
|
| 606 |
+
},
|
| 607 |
+
{
|
| 608 |
+
"epoch": 0.3,
|
| 609 |
+
"learning_rate": 0.00028363285024154587,
|
| 610 |
+
"loss": 1.0273,
|
| 611 |
+
"step": 950
|
| 612 |
+
},
|
| 613 |
+
{
|
| 614 |
+
"epoch": 0.31,
|
| 615 |
+
"learning_rate": 0.00028343961352657,
|
| 616 |
+
"loss": 1.0104,
|
| 617 |
+
"step": 960
|
| 618 |
+
},
|
| 619 |
+
{
|
| 620 |
+
"epoch": 0.31,
|
| 621 |
+
"learning_rate": 0.0002832463768115942,
|
| 622 |
+
"loss": 1.0162,
|
| 623 |
+
"step": 970
|
| 624 |
+
},
|
| 625 |
+
{
|
| 626 |
+
"epoch": 0.31,
|
| 627 |
+
"learning_rate": 0.00028305314009661835,
|
| 628 |
+
"loss": 1.0219,
|
| 629 |
+
"step": 980
|
| 630 |
+
},
|
| 631 |
+
{
|
| 632 |
+
"epoch": 0.32,
|
| 633 |
+
"learning_rate": 0.0002828599033816425,
|
| 634 |
+
"loss": 1.0621,
|
| 635 |
+
"step": 990
|
| 636 |
+
},
|
| 637 |
+
{
|
| 638 |
+
"epoch": 0.32,
|
| 639 |
+
"learning_rate": 0.00028266666666666663,
|
| 640 |
+
"loss": 1.0275,
|
| 641 |
+
"step": 1000
|
| 642 |
+
},
|
| 643 |
+
{
|
| 644 |
+
"epoch": 0.32,
|
| 645 |
+
"eval_loss": 1.0296404361724854,
|
| 646 |
+
"eval_runtime": 155.549,
|
| 647 |
+
"eval_samples_per_second": 12.858,
|
| 648 |
+
"eval_steps_per_second": 1.607,
|
| 649 |
+
"step": 1000
|
| 650 |
+
},
|
| 651 |
+
{
|
| 652 |
+
"epoch": 0.32,
|
| 653 |
+
"learning_rate": 0.00028247342995169083,
|
| 654 |
+
"loss": 1.0425,
|
| 655 |
+
"step": 1010
|
| 656 |
+
},
|
| 657 |
+
{
|
| 658 |
+
"epoch": 0.33,
|
| 659 |
+
"learning_rate": 0.000282280193236715,
|
| 660 |
+
"loss": 1.0261,
|
| 661 |
+
"step": 1020
|
| 662 |
+
},
|
| 663 |
+
{
|
| 664 |
+
"epoch": 0.33,
|
| 665 |
+
"learning_rate": 0.0002820869565217391,
|
| 666 |
+
"loss": 1.0279,
|
| 667 |
+
"step": 1030
|
| 668 |
+
},
|
| 669 |
+
{
|
| 670 |
+
"epoch": 0.33,
|
| 671 |
+
"learning_rate": 0.00028189371980676326,
|
| 672 |
+
"loss": 0.997,
|
| 673 |
+
"step": 1040
|
| 674 |
+
},
|
| 675 |
+
{
|
| 676 |
+
"epoch": 0.34,
|
| 677 |
+
"learning_rate": 0.0002817004830917874,
|
| 678 |
+
"loss": 1.0383,
|
| 679 |
+
"step": 1050
|
| 680 |
+
},
|
| 681 |
+
{
|
| 682 |
+
"epoch": 0.34,
|
| 683 |
+
"learning_rate": 0.0002815072463768116,
|
| 684 |
+
"loss": 0.9996,
|
| 685 |
+
"step": 1060
|
| 686 |
+
},
|
| 687 |
+
{
|
| 688 |
+
"epoch": 0.34,
|
| 689 |
+
"learning_rate": 0.00028131400966183574,
|
| 690 |
+
"loss": 1.0255,
|
| 691 |
+
"step": 1070
|
| 692 |
+
},
|
| 693 |
+
{
|
| 694 |
+
"epoch": 0.35,
|
| 695 |
+
"learning_rate": 0.0002811207729468599,
|
| 696 |
+
"loss": 1.0687,
|
| 697 |
+
"step": 1080
|
| 698 |
+
},
|
| 699 |
+
{
|
| 700 |
+
"epoch": 0.35,
|
| 701 |
+
"learning_rate": 0.000280927536231884,
|
| 702 |
+
"loss": 1.0425,
|
| 703 |
+
"step": 1090
|
| 704 |
+
},
|
| 705 |
+
{
|
| 706 |
+
"epoch": 0.35,
|
| 707 |
+
"learning_rate": 0.0002807342995169082,
|
| 708 |
+
"loss": 1.0009,
|
| 709 |
+
"step": 1100
|
| 710 |
+
},
|
| 711 |
+
{
|
| 712 |
+
"epoch": 0.36,
|
| 713 |
+
"learning_rate": 0.00028054106280193237,
|
| 714 |
+
"loss": 1.0413,
|
| 715 |
+
"step": 1110
|
| 716 |
+
},
|
| 717 |
+
{
|
| 718 |
+
"epoch": 0.36,
|
| 719 |
+
"learning_rate": 0.0002803478260869565,
|
| 720 |
+
"loss": 1.018,
|
| 721 |
+
"step": 1120
|
| 722 |
+
},
|
| 723 |
+
{
|
| 724 |
+
"epoch": 0.36,
|
| 725 |
+
"learning_rate": 0.00028015458937198065,
|
| 726 |
+
"loss": 0.9868,
|
| 727 |
+
"step": 1130
|
| 728 |
+
},
|
| 729 |
+
{
|
| 730 |
+
"epoch": 0.36,
|
| 731 |
+
"learning_rate": 0.00027996135265700485,
|
| 732 |
+
"loss": 1.042,
|
| 733 |
+
"step": 1140
|
| 734 |
+
},
|
| 735 |
+
{
|
| 736 |
+
"epoch": 0.37,
|
| 737 |
+
"learning_rate": 0.000279768115942029,
|
| 738 |
+
"loss": 1.059,
|
| 739 |
+
"step": 1150
|
| 740 |
+
},
|
| 741 |
+
{
|
| 742 |
+
"epoch": 0.37,
|
| 743 |
+
"learning_rate": 0.00027957487922705313,
|
| 744 |
+
"loss": 1.0019,
|
| 745 |
+
"step": 1160
|
| 746 |
+
},
|
| 747 |
+
{
|
| 748 |
+
"epoch": 0.37,
|
| 749 |
+
"learning_rate": 0.0002793816425120773,
|
| 750 |
+
"loss": 1.0572,
|
| 751 |
+
"step": 1170
|
| 752 |
+
},
|
| 753 |
+
{
|
| 754 |
+
"epoch": 0.38,
|
| 755 |
+
"learning_rate": 0.0002791884057971014,
|
| 756 |
+
"loss": 1.0218,
|
| 757 |
+
"step": 1180
|
| 758 |
+
},
|
| 759 |
+
{
|
| 760 |
+
"epoch": 0.38,
|
| 761 |
+
"learning_rate": 0.0002789951690821256,
|
| 762 |
+
"loss": 1.0039,
|
| 763 |
+
"step": 1190
|
| 764 |
+
},
|
| 765 |
+
{
|
| 766 |
+
"epoch": 0.38,
|
| 767 |
+
"learning_rate": 0.00027880193236714976,
|
| 768 |
+
"loss": 1.0319,
|
| 769 |
+
"step": 1200
|
| 770 |
+
},
|
| 771 |
+
{
|
| 772 |
+
"epoch": 0.38,
|
| 773 |
+
"eval_loss": 1.0265305042266846,
|
| 774 |
+
"eval_runtime": 155.6743,
|
| 775 |
+
"eval_samples_per_second": 12.847,
|
| 776 |
+
"eval_steps_per_second": 1.606,
|
| 777 |
+
"step": 1200
|
| 778 |
+
},
|
| 779 |
+
{
|
| 780 |
+
"epoch": 0.39,
|
| 781 |
+
"learning_rate": 0.0002786086956521739,
|
| 782 |
+
"loss": 1.0032,
|
| 783 |
+
"step": 1210
|
| 784 |
+
},
|
| 785 |
+
{
|
| 786 |
+
"epoch": 0.39,
|
| 787 |
+
"learning_rate": 0.00027841545893719804,
|
| 788 |
+
"loss": 1.0386,
|
| 789 |
+
"step": 1220
|
| 790 |
+
},
|
| 791 |
+
{
|
| 792 |
+
"epoch": 0.39,
|
| 793 |
+
"learning_rate": 0.00027822222222222224,
|
| 794 |
+
"loss": 1.0307,
|
| 795 |
+
"step": 1230
|
| 796 |
+
},
|
| 797 |
+
{
|
| 798 |
+
"epoch": 0.4,
|
| 799 |
+
"learning_rate": 0.0002780289855072464,
|
| 800 |
+
"loss": 1.0164,
|
| 801 |
+
"step": 1240
|
| 802 |
+
},
|
| 803 |
+
{
|
| 804 |
+
"epoch": 0.4,
|
| 805 |
+
"learning_rate": 0.0002778357487922705,
|
| 806 |
+
"loss": 1.0167,
|
| 807 |
+
"step": 1250
|
| 808 |
+
},
|
| 809 |
+
{
|
| 810 |
+
"epoch": 0.4,
|
| 811 |
+
"learning_rate": 0.00027764251207729467,
|
| 812 |
+
"loss": 1.0656,
|
| 813 |
+
"step": 1260
|
| 814 |
+
},
|
| 815 |
+
{
|
| 816 |
+
"epoch": 0.41,
|
| 817 |
+
"learning_rate": 0.0002774492753623188,
|
| 818 |
+
"loss": 1.0917,
|
| 819 |
+
"step": 1270
|
| 820 |
+
},
|
| 821 |
+
{
|
| 822 |
+
"epoch": 0.41,
|
| 823 |
+
"learning_rate": 0.000277256038647343,
|
| 824 |
+
"loss": 1.0291,
|
| 825 |
+
"step": 1280
|
| 826 |
+
},
|
| 827 |
+
{
|
| 828 |
+
"epoch": 0.41,
|
| 829 |
+
"learning_rate": 0.00027706280193236715,
|
| 830 |
+
"loss": 1.0077,
|
| 831 |
+
"step": 1290
|
| 832 |
+
},
|
| 833 |
+
{
|
| 834 |
+
"epoch": 0.42,
|
| 835 |
+
"learning_rate": 0.0002768695652173913,
|
| 836 |
+
"loss": 1.0466,
|
| 837 |
+
"step": 1300
|
| 838 |
+
},
|
| 839 |
+
{
|
| 840 |
+
"epoch": 0.42,
|
| 841 |
+
"learning_rate": 0.00027667632850241543,
|
| 842 |
+
"loss": 0.9951,
|
| 843 |
+
"step": 1310
|
| 844 |
+
},
|
| 845 |
+
{
|
| 846 |
+
"epoch": 0.42,
|
| 847 |
+
"learning_rate": 0.00027648309178743963,
|
| 848 |
+
"loss": 1.0229,
|
| 849 |
+
"step": 1320
|
| 850 |
+
},
|
| 851 |
+
{
|
| 852 |
+
"epoch": 0.43,
|
| 853 |
+
"learning_rate": 0.00027628985507246377,
|
| 854 |
+
"loss": 1.0179,
|
| 855 |
+
"step": 1330
|
| 856 |
+
},
|
| 857 |
+
{
|
| 858 |
+
"epoch": 0.43,
|
| 859 |
+
"learning_rate": 0.0002760966183574879,
|
| 860 |
+
"loss": 1.0246,
|
| 861 |
+
"step": 1340
|
| 862 |
+
},
|
| 863 |
+
{
|
| 864 |
+
"epoch": 0.43,
|
| 865 |
+
"learning_rate": 0.00027590338164251206,
|
| 866 |
+
"loss": 1.0035,
|
| 867 |
+
"step": 1350
|
| 868 |
+
},
|
| 869 |
+
{
|
| 870 |
+
"epoch": 0.44,
|
| 871 |
+
"learning_rate": 0.0002757101449275362,
|
| 872 |
+
"loss": 1.0491,
|
| 873 |
+
"step": 1360
|
| 874 |
+
},
|
| 875 |
+
{
|
| 876 |
+
"epoch": 0.44,
|
| 877 |
+
"learning_rate": 0.0002755169082125604,
|
| 878 |
+
"loss": 1.0414,
|
| 879 |
+
"step": 1370
|
| 880 |
+
},
|
| 881 |
+
{
|
| 882 |
+
"epoch": 0.44,
|
| 883 |
+
"learning_rate": 0.00027532367149758454,
|
| 884 |
+
"loss": 1.0505,
|
| 885 |
+
"step": 1380
|
| 886 |
+
},
|
| 887 |
+
{
|
| 888 |
+
"epoch": 0.44,
|
| 889 |
+
"learning_rate": 0.0002751304347826087,
|
| 890 |
+
"loss": 1.0518,
|
| 891 |
+
"step": 1390
|
| 892 |
+
},
|
| 893 |
+
{
|
| 894 |
+
"epoch": 0.45,
|
| 895 |
+
"learning_rate": 0.0002749371980676328,
|
| 896 |
+
"loss": 0.9515,
|
| 897 |
+
"step": 1400
|
| 898 |
+
},
|
| 899 |
+
{
|
| 900 |
+
"epoch": 0.45,
|
| 901 |
+
"eval_loss": 1.0252455472946167,
|
| 902 |
+
"eval_runtime": 155.152,
|
| 903 |
+
"eval_samples_per_second": 12.891,
|
| 904 |
+
"eval_steps_per_second": 1.611,
|
| 905 |
+
"step": 1400
|
| 906 |
+
},
|
| 907 |
+
{
|
| 908 |
+
"epoch": 0.45,
|
| 909 |
+
"learning_rate": 0.00027474396135265697,
|
| 910 |
+
"loss": 0.9879,
|
| 911 |
+
"step": 1410
|
| 912 |
+
},
|
| 913 |
+
{
|
| 914 |
+
"epoch": 0.45,
|
| 915 |
+
"learning_rate": 0.00027455072463768116,
|
| 916 |
+
"loss": 1.0464,
|
| 917 |
+
"step": 1420
|
| 918 |
+
},
|
| 919 |
+
{
|
| 920 |
+
"epoch": 0.46,
|
| 921 |
+
"learning_rate": 0.0002743574879227053,
|
| 922 |
+
"loss": 1.0252,
|
| 923 |
+
"step": 1430
|
| 924 |
+
},
|
| 925 |
+
{
|
| 926 |
+
"epoch": 0.46,
|
| 927 |
+
"learning_rate": 0.00027416425120772945,
|
| 928 |
+
"loss": 1.0347,
|
| 929 |
+
"step": 1440
|
| 930 |
+
},
|
| 931 |
+
{
|
| 932 |
+
"epoch": 0.46,
|
| 933 |
+
"learning_rate": 0.0002739710144927536,
|
| 934 |
+
"loss": 0.9957,
|
| 935 |
+
"step": 1450
|
| 936 |
+
},
|
| 937 |
+
{
|
| 938 |
+
"epoch": 0.47,
|
| 939 |
+
"learning_rate": 0.0002737777777777778,
|
| 940 |
+
"loss": 0.9806,
|
| 941 |
+
"step": 1460
|
| 942 |
+
},
|
| 943 |
+
{
|
| 944 |
+
"epoch": 0.47,
|
| 945 |
+
"learning_rate": 0.00027358454106280193,
|
| 946 |
+
"loss": 1.0245,
|
| 947 |
+
"step": 1470
|
| 948 |
+
},
|
| 949 |
+
{
|
| 950 |
+
"epoch": 0.47,
|
| 951 |
+
"learning_rate": 0.0002733913043478261,
|
| 952 |
+
"loss": 1.0056,
|
| 953 |
+
"step": 1480
|
| 954 |
+
},
|
| 955 |
+
{
|
| 956 |
+
"epoch": 0.48,
|
| 957 |
+
"learning_rate": 0.0002731980676328502,
|
| 958 |
+
"loss": 1.0,
|
| 959 |
+
"step": 1490
|
| 960 |
+
},
|
| 961 |
+
{
|
| 962 |
+
"epoch": 0.48,
|
| 963 |
+
"learning_rate": 0.00027300483091787436,
|
| 964 |
+
"loss": 0.9525,
|
| 965 |
+
"step": 1500
|
| 966 |
+
},
|
| 967 |
+
{
|
| 968 |
+
"epoch": 0.48,
|
| 969 |
+
"learning_rate": 0.00027281159420289856,
|
| 970 |
+
"loss": 0.9732,
|
| 971 |
+
"step": 1510
|
| 972 |
+
},
|
| 973 |
+
{
|
| 974 |
+
"epoch": 0.49,
|
| 975 |
+
"learning_rate": 0.0002726183574879227,
|
| 976 |
+
"loss": 1.0144,
|
| 977 |
+
"step": 1520
|
| 978 |
+
},
|
| 979 |
+
{
|
| 980 |
+
"epoch": 0.49,
|
| 981 |
+
"learning_rate": 0.00027242512077294684,
|
| 982 |
+
"loss": 1.0393,
|
| 983 |
+
"step": 1530
|
| 984 |
+
},
|
| 985 |
+
{
|
| 986 |
+
"epoch": 0.49,
|
| 987 |
+
"learning_rate": 0.000272231884057971,
|
| 988 |
+
"loss": 1.0473,
|
| 989 |
+
"step": 1540
|
| 990 |
+
},
|
| 991 |
+
{
|
| 992 |
+
"epoch": 0.5,
|
| 993 |
+
"learning_rate": 0.0002720386473429951,
|
| 994 |
+
"loss": 1.0474,
|
| 995 |
+
"step": 1550
|
| 996 |
+
},
|
| 997 |
+
{
|
| 998 |
+
"epoch": 0.5,
|
| 999 |
+
"learning_rate": 0.0002718454106280193,
|
| 1000 |
+
"loss": 1.0187,
|
| 1001 |
+
"step": 1560
|
| 1002 |
+
},
|
| 1003 |
+
{
|
| 1004 |
+
"epoch": 0.5,
|
| 1005 |
+
"learning_rate": 0.00027165217391304347,
|
| 1006 |
+
"loss": 1.0152,
|
| 1007 |
+
"step": 1570
|
| 1008 |
+
},
|
| 1009 |
+
{
|
| 1010 |
+
"epoch": 0.51,
|
| 1011 |
+
"learning_rate": 0.0002714589371980676,
|
| 1012 |
+
"loss": 1.0292,
|
| 1013 |
+
"step": 1580
|
| 1014 |
+
},
|
| 1015 |
+
{
|
| 1016 |
+
"epoch": 0.51,
|
| 1017 |
+
"learning_rate": 0.00027126570048309175,
|
| 1018 |
+
"loss": 1.0128,
|
| 1019 |
+
"step": 1590
|
| 1020 |
+
},
|
| 1021 |
+
{
|
| 1022 |
+
"epoch": 0.51,
|
| 1023 |
+
"learning_rate": 0.00027107246376811595,
|
| 1024 |
+
"loss": 1.0336,
|
| 1025 |
+
"step": 1600
|
| 1026 |
+
},
|
| 1027 |
+
{
|
| 1028 |
+
"epoch": 0.51,
|
| 1029 |
+
"eval_loss": 1.0240451097488403,
|
| 1030 |
+
"eval_runtime": 154.8505,
|
| 1031 |
+
"eval_samples_per_second": 12.916,
|
| 1032 |
+
"eval_steps_per_second": 1.614,
|
| 1033 |
+
"step": 1600
|
| 1034 |
+
},
|
| 1035 |
+
{
|
| 1036 |
+
"epoch": 0.52,
|
| 1037 |
+
"learning_rate": 0.0002708792270531401,
|
| 1038 |
+
"loss": 0.9981,
|
| 1039 |
+
"step": 1610
|
| 1040 |
+
},
|
| 1041 |
+
{
|
| 1042 |
+
"epoch": 0.52,
|
| 1043 |
+
"learning_rate": 0.00027068599033816423,
|
| 1044 |
+
"loss": 1.0425,
|
| 1045 |
+
"step": 1620
|
| 1046 |
+
},
|
| 1047 |
+
{
|
| 1048 |
+
"epoch": 0.52,
|
| 1049 |
+
"learning_rate": 0.0002704927536231884,
|
| 1050 |
+
"loss": 0.9953,
|
| 1051 |
+
"step": 1630
|
| 1052 |
+
},
|
| 1053 |
+
{
|
| 1054 |
+
"epoch": 0.52,
|
| 1055 |
+
"learning_rate": 0.0002702995169082125,
|
| 1056 |
+
"loss": 1.0266,
|
| 1057 |
+
"step": 1640
|
| 1058 |
+
},
|
| 1059 |
+
{
|
| 1060 |
+
"epoch": 0.53,
|
| 1061 |
+
"learning_rate": 0.0002701062801932367,
|
| 1062 |
+
"loss": 0.9791,
|
| 1063 |
+
"step": 1650
|
| 1064 |
+
},
|
| 1065 |
+
{
|
| 1066 |
+
"epoch": 0.53,
|
| 1067 |
+
"learning_rate": 0.00026991304347826086,
|
| 1068 |
+
"loss": 0.9972,
|
| 1069 |
+
"step": 1660
|
| 1070 |
+
},
|
| 1071 |
+
{
|
| 1072 |
+
"epoch": 0.53,
|
| 1073 |
+
"learning_rate": 0.000269719806763285,
|
| 1074 |
+
"loss": 1.0455,
|
| 1075 |
+
"step": 1670
|
| 1076 |
+
},
|
| 1077 |
+
{
|
| 1078 |
+
"epoch": 0.54,
|
| 1079 |
+
"learning_rate": 0.00026952657004830914,
|
| 1080 |
+
"loss": 1.0315,
|
| 1081 |
+
"step": 1680
|
| 1082 |
+
},
|
| 1083 |
+
{
|
| 1084 |
+
"epoch": 0.54,
|
| 1085 |
+
"learning_rate": 0.00026933333333333334,
|
| 1086 |
+
"loss": 1.0055,
|
| 1087 |
+
"step": 1690
|
| 1088 |
+
},
|
| 1089 |
+
{
|
| 1090 |
+
"epoch": 0.54,
|
| 1091 |
+
"learning_rate": 0.0002691400966183575,
|
| 1092 |
+
"loss": 1.0167,
|
| 1093 |
+
"step": 1700
|
| 1094 |
+
},
|
| 1095 |
+
{
|
| 1096 |
+
"epoch": 0.55,
|
| 1097 |
+
"learning_rate": 0.0002689468599033816,
|
| 1098 |
+
"loss": 1.0144,
|
| 1099 |
+
"step": 1710
|
| 1100 |
+
},
|
| 1101 |
+
{
|
| 1102 |
+
"epoch": 0.55,
|
| 1103 |
+
"learning_rate": 0.00026875362318840577,
|
| 1104 |
+
"loss": 0.9962,
|
| 1105 |
+
"step": 1720
|
| 1106 |
+
},
|
| 1107 |
+
{
|
| 1108 |
+
"epoch": 0.55,
|
| 1109 |
+
"learning_rate": 0.0002685603864734299,
|
| 1110 |
+
"loss": 1.0314,
|
| 1111 |
+
"step": 1730
|
| 1112 |
+
},
|
| 1113 |
+
{
|
| 1114 |
+
"epoch": 0.56,
|
| 1115 |
+
"learning_rate": 0.0002683671497584541,
|
| 1116 |
+
"loss": 0.9594,
|
| 1117 |
+
"step": 1740
|
| 1118 |
+
},
|
| 1119 |
+
{
|
| 1120 |
+
"epoch": 0.56,
|
| 1121 |
+
"learning_rate": 0.00026817391304347825,
|
| 1122 |
+
"loss": 0.9602,
|
| 1123 |
+
"step": 1750
|
| 1124 |
+
},
|
| 1125 |
+
{
|
| 1126 |
+
"epoch": 0.56,
|
| 1127 |
+
"learning_rate": 0.0002679806763285024,
|
| 1128 |
+
"loss": 0.9885,
|
| 1129 |
+
"step": 1760
|
| 1130 |
+
},
|
| 1131 |
+
{
|
| 1132 |
+
"epoch": 0.57,
|
| 1133 |
+
"learning_rate": 0.00026778743961352653,
|
| 1134 |
+
"loss": 1.0228,
|
| 1135 |
+
"step": 1770
|
| 1136 |
+
},
|
| 1137 |
+
{
|
| 1138 |
+
"epoch": 0.57,
|
| 1139 |
+
"learning_rate": 0.0002675942028985507,
|
| 1140 |
+
"loss": 1.0312,
|
| 1141 |
+
"step": 1780
|
| 1142 |
+
},
|
| 1143 |
+
{
|
| 1144 |
+
"epoch": 0.57,
|
| 1145 |
+
"learning_rate": 0.00026740096618357487,
|
| 1146 |
+
"loss": 1.0597,
|
| 1147 |
+
"step": 1790
|
| 1148 |
+
},
|
| 1149 |
+
{
|
| 1150 |
+
"epoch": 0.58,
|
| 1151 |
+
"learning_rate": 0.000267207729468599,
|
| 1152 |
+
"loss": 1.0179,
|
| 1153 |
+
"step": 1800
|
| 1154 |
+
},
|
| 1155 |
+
{
|
| 1156 |
+
"epoch": 0.58,
|
| 1157 |
+
"eval_loss": 1.0231000185012817,
|
| 1158 |
+
"eval_runtime": 154.7726,
|
| 1159 |
+
"eval_samples_per_second": 12.922,
|
| 1160 |
+
"eval_steps_per_second": 1.615,
|
| 1161 |
+
"step": 1800
|
| 1162 |
+
},
|
| 1163 |
+
{
|
| 1164 |
+
"epoch": 0.58,
|
| 1165 |
+
"learning_rate": 0.00026701449275362316,
|
| 1166 |
+
"loss": 0.9948,
|
| 1167 |
+
"step": 1810
|
| 1168 |
+
},
|
| 1169 |
+
{
|
| 1170 |
+
"epoch": 0.58,
|
| 1171 |
+
"learning_rate": 0.0002668212560386473,
|
| 1172 |
+
"loss": 1.0203,
|
| 1173 |
+
"step": 1820
|
| 1174 |
+
},
|
| 1175 |
+
{
|
| 1176 |
+
"epoch": 0.59,
|
| 1177 |
+
"learning_rate": 0.0002666280193236715,
|
| 1178 |
+
"loss": 1.0641,
|
| 1179 |
+
"step": 1830
|
| 1180 |
+
},
|
| 1181 |
+
{
|
| 1182 |
+
"epoch": 0.59,
|
| 1183 |
+
"learning_rate": 0.00026643478260869564,
|
| 1184 |
+
"loss": 1.0058,
|
| 1185 |
+
"step": 1840
|
| 1186 |
+
},
|
| 1187 |
+
{
|
| 1188 |
+
"epoch": 0.59,
|
| 1189 |
+
"learning_rate": 0.0002662415458937198,
|
| 1190 |
+
"loss": 1.0136,
|
| 1191 |
+
"step": 1850
|
| 1192 |
+
},
|
| 1193 |
+
{
|
| 1194 |
+
"epoch": 0.6,
|
| 1195 |
+
"learning_rate": 0.0002660483091787439,
|
| 1196 |
+
"loss": 1.0401,
|
| 1197 |
+
"step": 1860
|
| 1198 |
+
},
|
| 1199 |
+
{
|
| 1200 |
+
"epoch": 0.6,
|
| 1201 |
+
"learning_rate": 0.00026585507246376807,
|
| 1202 |
+
"loss": 1.0441,
|
| 1203 |
+
"step": 1870
|
| 1204 |
+
},
|
| 1205 |
+
{
|
| 1206 |
+
"epoch": 0.6,
|
| 1207 |
+
"learning_rate": 0.00026566183574879226,
|
| 1208 |
+
"loss": 1.026,
|
| 1209 |
+
"step": 1880
|
| 1210 |
+
},
|
| 1211 |
+
{
|
| 1212 |
+
"epoch": 0.6,
|
| 1213 |
+
"learning_rate": 0.0002654685990338164,
|
| 1214 |
+
"loss": 0.9868,
|
| 1215 |
+
"step": 1890
|
| 1216 |
+
},
|
| 1217 |
+
{
|
| 1218 |
+
"epoch": 0.61,
|
| 1219 |
+
"learning_rate": 0.00026527536231884055,
|
| 1220 |
+
"loss": 1.0035,
|
| 1221 |
+
"step": 1900
|
| 1222 |
+
},
|
| 1223 |
+
{
|
| 1224 |
+
"epoch": 0.61,
|
| 1225 |
+
"learning_rate": 0.0002650821256038647,
|
| 1226 |
+
"loss": 1.0447,
|
| 1227 |
+
"step": 1910
|
| 1228 |
+
},
|
| 1229 |
+
{
|
| 1230 |
+
"epoch": 0.61,
|
| 1231 |
+
"learning_rate": 0.0002648888888888889,
|
| 1232 |
+
"loss": 0.9744,
|
| 1233 |
+
"step": 1920
|
| 1234 |
+
},
|
| 1235 |
+
{
|
| 1236 |
+
"epoch": 0.62,
|
| 1237 |
+
"learning_rate": 0.00026469565217391303,
|
| 1238 |
+
"loss": 0.9643,
|
| 1239 |
+
"step": 1930
|
| 1240 |
+
},
|
| 1241 |
+
{
|
| 1242 |
+
"epoch": 0.62,
|
| 1243 |
+
"learning_rate": 0.0002645024154589372,
|
| 1244 |
+
"loss": 1.0032,
|
| 1245 |
+
"step": 1940
|
| 1246 |
+
},
|
| 1247 |
+
{
|
| 1248 |
+
"epoch": 0.62,
|
| 1249 |
+
"learning_rate": 0.0002643091787439613,
|
| 1250 |
+
"loss": 1.0302,
|
| 1251 |
+
"step": 1950
|
| 1252 |
+
},
|
| 1253 |
+
{
|
| 1254 |
+
"epoch": 0.63,
|
| 1255 |
+
"learning_rate": 0.00026411594202898546,
|
| 1256 |
+
"loss": 1.015,
|
| 1257 |
+
"step": 1960
|
| 1258 |
+
},
|
| 1259 |
+
{
|
| 1260 |
+
"epoch": 0.63,
|
| 1261 |
+
"learning_rate": 0.00026392270531400966,
|
| 1262 |
+
"loss": 1.0102,
|
| 1263 |
+
"step": 1970
|
| 1264 |
+
},
|
| 1265 |
+
{
|
| 1266 |
+
"epoch": 0.63,
|
| 1267 |
+
"learning_rate": 0.0002637294685990338,
|
| 1268 |
+
"loss": 1.0508,
|
| 1269 |
+
"step": 1980
|
| 1270 |
+
},
|
| 1271 |
+
{
|
| 1272 |
+
"epoch": 0.64,
|
| 1273 |
+
"learning_rate": 0.00026353623188405794,
|
| 1274 |
+
"loss": 0.9881,
|
| 1275 |
+
"step": 1990
|
| 1276 |
+
},
|
| 1277 |
+
{
|
| 1278 |
+
"epoch": 0.64,
|
| 1279 |
+
"learning_rate": 0.0002633429951690821,
|
| 1280 |
+
"loss": 1.0574,
|
| 1281 |
+
"step": 2000
|
| 1282 |
+
},
|
| 1283 |
+
{
|
| 1284 |
+
"epoch": 0.64,
|
| 1285 |
+
"eval_loss": 1.0227478742599487,
|
| 1286 |
+
"eval_runtime": 154.4442,
|
| 1287 |
+
"eval_samples_per_second": 12.95,
|
| 1288 |
+
"eval_steps_per_second": 1.619,
|
| 1289 |
+
"step": 2000
|
| 1290 |
+
},
|
| 1291 |
+
{
|
| 1292 |
+
"epoch": 0.64,
|
| 1293 |
+
"learning_rate": 0.0002631497584541062,
|
| 1294 |
+
"loss": 1.0135,
|
| 1295 |
+
"step": 2010
|
| 1296 |
+
},
|
| 1297 |
+
{
|
| 1298 |
+
"epoch": 0.65,
|
| 1299 |
+
"learning_rate": 0.0002629565217391304,
|
| 1300 |
+
"loss": 1.0523,
|
| 1301 |
+
"step": 2020
|
| 1302 |
+
},
|
| 1303 |
+
{
|
| 1304 |
+
"epoch": 0.65,
|
| 1305 |
+
"learning_rate": 0.00026276328502415457,
|
| 1306 |
+
"loss": 1.0318,
|
| 1307 |
+
"step": 2030
|
| 1308 |
+
},
|
| 1309 |
+
{
|
| 1310 |
+
"epoch": 0.65,
|
| 1311 |
+
"learning_rate": 0.0002625700483091787,
|
| 1312 |
+
"loss": 1.0035,
|
| 1313 |
+
"step": 2040
|
| 1314 |
+
},
|
| 1315 |
+
{
|
| 1316 |
+
"epoch": 0.66,
|
| 1317 |
+
"learning_rate": 0.00026237681159420285,
|
| 1318 |
+
"loss": 1.0198,
|
| 1319 |
+
"step": 2050
|
| 1320 |
+
},
|
| 1321 |
+
{
|
| 1322 |
+
"epoch": 0.66,
|
| 1323 |
+
"learning_rate": 0.00026218357487922705,
|
| 1324 |
+
"loss": 1.0441,
|
| 1325 |
+
"step": 2060
|
| 1326 |
+
},
|
| 1327 |
+
{
|
| 1328 |
+
"epoch": 0.66,
|
| 1329 |
+
"learning_rate": 0.0002619903381642512,
|
| 1330 |
+
"loss": 1.0143,
|
| 1331 |
+
"step": 2070
|
| 1332 |
+
},
|
| 1333 |
+
{
|
| 1334 |
+
"epoch": 0.67,
|
| 1335 |
+
"learning_rate": 0.00026179710144927533,
|
| 1336 |
+
"loss": 1.0097,
|
| 1337 |
+
"step": 2080
|
| 1338 |
+
},
|
| 1339 |
+
{
|
| 1340 |
+
"epoch": 0.67,
|
| 1341 |
+
"learning_rate": 0.0002616038647342995,
|
| 1342 |
+
"loss": 0.9959,
|
| 1343 |
+
"step": 2090
|
| 1344 |
+
},
|
| 1345 |
+
{
|
| 1346 |
+
"epoch": 0.67,
|
| 1347 |
+
"learning_rate": 0.0002614106280193236,
|
| 1348 |
+
"loss": 1.0193,
|
| 1349 |
+
"step": 2100
|
| 1350 |
+
},
|
| 1351 |
+
{
|
| 1352 |
+
"epoch": 0.68,
|
| 1353 |
+
"learning_rate": 0.0002612173913043478,
|
| 1354 |
+
"loss": 1.0288,
|
| 1355 |
+
"step": 2110
|
| 1356 |
+
},
|
| 1357 |
+
{
|
| 1358 |
+
"epoch": 0.68,
|
| 1359 |
+
"learning_rate": 0.00026102415458937196,
|
| 1360 |
+
"loss": 0.9519,
|
| 1361 |
+
"step": 2120
|
| 1362 |
+
},
|
| 1363 |
+
{
|
| 1364 |
+
"epoch": 0.68,
|
| 1365 |
+
"learning_rate": 0.0002608309178743961,
|
| 1366 |
+
"loss": 1.0112,
|
| 1367 |
+
"step": 2130
|
| 1368 |
+
},
|
| 1369 |
+
{
|
| 1370 |
+
"epoch": 0.68,
|
| 1371 |
+
"learning_rate": 0.00026063768115942024,
|
| 1372 |
+
"loss": 1.0429,
|
| 1373 |
+
"step": 2140
|
| 1374 |
+
},
|
| 1375 |
+
{
|
| 1376 |
+
"epoch": 0.69,
|
| 1377 |
+
"learning_rate": 0.0002604444444444444,
|
| 1378 |
+
"loss": 0.9686,
|
| 1379 |
+
"step": 2150
|
| 1380 |
+
},
|
| 1381 |
+
{
|
| 1382 |
+
"epoch": 0.69,
|
| 1383 |
+
"learning_rate": 0.0002602512077294686,
|
| 1384 |
+
"loss": 1.0055,
|
| 1385 |
+
"step": 2160
|
| 1386 |
+
},
|
| 1387 |
+
{
|
| 1388 |
+
"epoch": 0.69,
|
| 1389 |
+
"learning_rate": 0.0002600579710144927,
|
| 1390 |
+
"loss": 0.9741,
|
| 1391 |
+
"step": 2170
|
| 1392 |
+
},
|
| 1393 |
+
{
|
| 1394 |
+
"epoch": 0.7,
|
| 1395 |
+
"learning_rate": 0.00025986473429951687,
|
| 1396 |
+
"loss": 1.0377,
|
| 1397 |
+
"step": 2180
|
| 1398 |
+
},
|
| 1399 |
+
{
|
| 1400 |
+
"epoch": 0.7,
|
| 1401 |
+
"learning_rate": 0.000259671497584541,
|
| 1402 |
+
"loss": 1.0687,
|
| 1403 |
+
"step": 2190
|
| 1404 |
+
},
|
| 1405 |
+
{
|
| 1406 |
+
"epoch": 0.7,
|
| 1407 |
+
"learning_rate": 0.0002594782608695652,
|
| 1408 |
+
"loss": 1.0381,
|
| 1409 |
+
"step": 2200
|
| 1410 |
+
},
|
| 1411 |
+
{
|
| 1412 |
+
"epoch": 0.7,
|
| 1413 |
+
"eval_loss": 1.020608901977539,
|
| 1414 |
+
"eval_runtime": 154.4089,
|
| 1415 |
+
"eval_samples_per_second": 12.953,
|
| 1416 |
+
"eval_steps_per_second": 1.619,
|
| 1417 |
+
"step": 2200
|
| 1418 |
+
},
|
| 1419 |
+
{
|
| 1420 |
+
"epoch": 0.71,
|
| 1421 |
+
"learning_rate": 0.00025928502415458935,
|
| 1422 |
+
"loss": 1.0184,
|
| 1423 |
+
"step": 2210
|
| 1424 |
+
},
|
| 1425 |
+
{
|
| 1426 |
+
"epoch": 0.71,
|
| 1427 |
+
"learning_rate": 0.0002590917874396135,
|
| 1428 |
+
"loss": 1.009,
|
| 1429 |
+
"step": 2220
|
| 1430 |
+
},
|
| 1431 |
+
{
|
| 1432 |
+
"epoch": 0.71,
|
| 1433 |
+
"learning_rate": 0.00025889855072463763,
|
| 1434 |
+
"loss": 0.9985,
|
| 1435 |
+
"step": 2230
|
| 1436 |
+
},
|
| 1437 |
+
{
|
| 1438 |
+
"epoch": 0.72,
|
| 1439 |
+
"learning_rate": 0.0002587053140096618,
|
| 1440 |
+
"loss": 1.0315,
|
| 1441 |
+
"step": 2240
|
| 1442 |
+
},
|
| 1443 |
+
{
|
| 1444 |
+
"epoch": 0.72,
|
| 1445 |
+
"learning_rate": 0.00025851207729468597,
|
| 1446 |
+
"loss": 1.037,
|
| 1447 |
+
"step": 2250
|
| 1448 |
+
},
|
| 1449 |
+
{
|
| 1450 |
+
"epoch": 0.72,
|
| 1451 |
+
"learning_rate": 0.0002583188405797101,
|
| 1452 |
+
"loss": 1.0592,
|
| 1453 |
+
"step": 2260
|
| 1454 |
+
},
|
| 1455 |
+
{
|
| 1456 |
+
"epoch": 0.73,
|
| 1457 |
+
"learning_rate": 0.00025812560386473426,
|
| 1458 |
+
"loss": 0.9978,
|
| 1459 |
+
"step": 2270
|
| 1460 |
+
},
|
| 1461 |
+
{
|
| 1462 |
+
"epoch": 0.73,
|
| 1463 |
+
"learning_rate": 0.0002579323671497584,
|
| 1464 |
+
"loss": 1.0645,
|
| 1465 |
+
"step": 2280
|
| 1466 |
+
},
|
| 1467 |
+
{
|
| 1468 |
+
"epoch": 0.73,
|
| 1469 |
+
"learning_rate": 0.0002577391304347826,
|
| 1470 |
+
"loss": 0.9953,
|
| 1471 |
+
"step": 2290
|
| 1472 |
+
},
|
| 1473 |
+
{
|
| 1474 |
+
"epoch": 0.74,
|
| 1475 |
+
"learning_rate": 0.00025754589371980674,
|
| 1476 |
+
"loss": 1.0127,
|
| 1477 |
+
"step": 2300
|
| 1478 |
+
},
|
| 1479 |
+
{
|
| 1480 |
+
"epoch": 0.74,
|
| 1481 |
+
"learning_rate": 0.0002573526570048309,
|
| 1482 |
+
"loss": 1.0203,
|
| 1483 |
+
"step": 2310
|
| 1484 |
+
},
|
| 1485 |
+
{
|
| 1486 |
+
"epoch": 0.74,
|
| 1487 |
+
"learning_rate": 0.000257159420289855,
|
| 1488 |
+
"loss": 1.0161,
|
| 1489 |
+
"step": 2320
|
| 1490 |
+
},
|
| 1491 |
+
{
|
| 1492 |
+
"epoch": 0.75,
|
| 1493 |
+
"learning_rate": 0.00025696618357487917,
|
| 1494 |
+
"loss": 0.9968,
|
| 1495 |
+
"step": 2330
|
| 1496 |
+
},
|
| 1497 |
+
{
|
| 1498 |
+
"epoch": 0.75,
|
| 1499 |
+
"learning_rate": 0.00025677294685990336,
|
| 1500 |
+
"loss": 1.0435,
|
| 1501 |
+
"step": 2340
|
| 1502 |
+
},
|
| 1503 |
+
{
|
| 1504 |
+
"epoch": 0.75,
|
| 1505 |
+
"learning_rate": 0.0002565797101449275,
|
| 1506 |
+
"loss": 1.0001,
|
| 1507 |
+
"step": 2350
|
| 1508 |
+
},
|
| 1509 |
+
{
|
| 1510 |
+
"epoch": 0.76,
|
| 1511 |
+
"learning_rate": 0.00025638647342995165,
|
| 1512 |
+
"loss": 1.0143,
|
| 1513 |
+
"step": 2360
|
| 1514 |
+
},
|
| 1515 |
+
{
|
| 1516 |
+
"epoch": 0.76,
|
| 1517 |
+
"learning_rate": 0.0002561932367149758,
|
| 1518 |
+
"loss": 0.988,
|
| 1519 |
+
"step": 2370
|
| 1520 |
+
},
|
| 1521 |
+
{
|
| 1522 |
+
"epoch": 0.76,
|
| 1523 |
+
"learning_rate": 0.000256,
|
| 1524 |
+
"loss": 1.0125,
|
| 1525 |
+
"step": 2380
|
| 1526 |
+
},
|
| 1527 |
+
{
|
| 1528 |
+
"epoch": 0.76,
|
| 1529 |
+
"learning_rate": 0.00025580676328502413,
|
| 1530 |
+
"loss": 1.0384,
|
| 1531 |
+
"step": 2390
|
| 1532 |
+
},
|
| 1533 |
+
{
|
| 1534 |
+
"epoch": 0.77,
|
| 1535 |
+
"learning_rate": 0.0002556135265700483,
|
| 1536 |
+
"loss": 1.07,
|
| 1537 |
+
"step": 2400
|
| 1538 |
+
},
|
| 1539 |
+
{
|
| 1540 |
+
"epoch": 0.77,
|
| 1541 |
+
"eval_loss": 1.0209141969680786,
|
| 1542 |
+
"eval_runtime": 154.3327,
|
| 1543 |
+
"eval_samples_per_second": 12.959,
|
| 1544 |
+
"eval_steps_per_second": 1.62,
|
| 1545 |
+
"step": 2400
|
| 1546 |
+
},
|
| 1547 |
+
{
|
| 1548 |
+
"epoch": 0.77,
|
| 1549 |
+
"learning_rate": 0.0002554202898550724,
|
| 1550 |
+
"loss": 1.0005,
|
| 1551 |
+
"step": 2410
|
| 1552 |
+
},
|
| 1553 |
+
{
|
| 1554 |
+
"epoch": 0.77,
|
| 1555 |
+
"learning_rate": 0.00025522705314009656,
|
| 1556 |
+
"loss": 1.0415,
|
| 1557 |
+
"step": 2420
|
| 1558 |
+
},
|
| 1559 |
+
{
|
| 1560 |
+
"epoch": 0.78,
|
| 1561 |
+
"learning_rate": 0.00025503381642512076,
|
| 1562 |
+
"loss": 1.0284,
|
| 1563 |
+
"step": 2430
|
| 1564 |
+
},
|
| 1565 |
+
{
|
| 1566 |
+
"epoch": 0.78,
|
| 1567 |
+
"learning_rate": 0.0002548405797101449,
|
| 1568 |
+
"loss": 1.0551,
|
| 1569 |
+
"step": 2440
|
| 1570 |
+
},
|
| 1571 |
+
{
|
| 1572 |
+
"epoch": 0.78,
|
| 1573 |
+
"learning_rate": 0.00025464734299516904,
|
| 1574 |
+
"loss": 1.0003,
|
| 1575 |
+
"step": 2450
|
| 1576 |
+
},
|
| 1577 |
+
{
|
| 1578 |
+
"epoch": 0.79,
|
| 1579 |
+
"learning_rate": 0.0002544541062801932,
|
| 1580 |
+
"loss": 1.0168,
|
| 1581 |
+
"step": 2460
|
| 1582 |
+
},
|
| 1583 |
+
{
|
| 1584 |
+
"epoch": 0.79,
|
| 1585 |
+
"learning_rate": 0.0002542608695652174,
|
| 1586 |
+
"loss": 0.9755,
|
| 1587 |
+
"step": 2470
|
| 1588 |
+
},
|
| 1589 |
+
{
|
| 1590 |
+
"epoch": 0.79,
|
| 1591 |
+
"learning_rate": 0.0002540676328502415,
|
| 1592 |
+
"loss": 1.036,
|
| 1593 |
+
"step": 2480
|
| 1594 |
+
},
|
| 1595 |
+
{
|
| 1596 |
+
"epoch": 0.8,
|
| 1597 |
+
"learning_rate": 0.00025387439613526566,
|
| 1598 |
+
"loss": 1.042,
|
| 1599 |
+
"step": 2490
|
| 1600 |
+
},
|
| 1601 |
+
{
|
| 1602 |
+
"epoch": 0.8,
|
| 1603 |
+
"learning_rate": 0.0002536811594202898,
|
| 1604 |
+
"loss": 1.0172,
|
| 1605 |
+
"step": 2500
|
| 1606 |
+
},
|
| 1607 |
+
{
|
| 1608 |
+
"epoch": 0.8,
|
| 1609 |
+
"learning_rate": 0.00025348792270531395,
|
| 1610 |
+
"loss": 0.9807,
|
| 1611 |
+
"step": 2510
|
| 1612 |
+
},
|
| 1613 |
+
{
|
| 1614 |
+
"epoch": 0.81,
|
| 1615 |
+
"learning_rate": 0.00025329468599033815,
|
| 1616 |
+
"loss": 0.9866,
|
| 1617 |
+
"step": 2520
|
| 1618 |
+
},
|
| 1619 |
+
{
|
| 1620 |
+
"epoch": 0.81,
|
| 1621 |
+
"learning_rate": 0.0002531014492753623,
|
| 1622 |
+
"loss": 1.0194,
|
| 1623 |
+
"step": 2530
|
| 1624 |
+
},
|
| 1625 |
+
{
|
| 1626 |
+
"epoch": 0.81,
|
| 1627 |
+
"learning_rate": 0.00025290821256038643,
|
| 1628 |
+
"loss": 1.0491,
|
| 1629 |
+
"step": 2540
|
| 1630 |
+
},
|
| 1631 |
+
{
|
| 1632 |
+
"epoch": 0.82,
|
| 1633 |
+
"learning_rate": 0.0002527149758454106,
|
| 1634 |
+
"loss": 0.9762,
|
| 1635 |
+
"step": 2550
|
| 1636 |
+
},
|
| 1637 |
+
{
|
| 1638 |
+
"epoch": 0.82,
|
| 1639 |
+
"learning_rate": 0.00025252173913043477,
|
| 1640 |
+
"loss": 1.0185,
|
| 1641 |
+
"step": 2560
|
| 1642 |
+
},
|
| 1643 |
+
{
|
| 1644 |
+
"epoch": 0.82,
|
| 1645 |
+
"learning_rate": 0.0002523285024154589,
|
| 1646 |
+
"loss": 1.0102,
|
| 1647 |
+
"step": 2570
|
| 1648 |
+
},
|
| 1649 |
+
{
|
| 1650 |
+
"epoch": 0.83,
|
| 1651 |
+
"learning_rate": 0.00025213526570048306,
|
| 1652 |
+
"loss": 1.0538,
|
| 1653 |
+
"step": 2580
|
| 1654 |
+
},
|
| 1655 |
+
{
|
| 1656 |
+
"epoch": 0.83,
|
| 1657 |
+
"learning_rate": 0.0002519420289855072,
|
| 1658 |
+
"loss": 1.0014,
|
| 1659 |
+
"step": 2590
|
| 1660 |
+
},
|
| 1661 |
+
{
|
| 1662 |
+
"epoch": 0.83,
|
| 1663 |
+
"learning_rate": 0.00025174879227053134,
|
| 1664 |
+
"loss": 1.0062,
|
| 1665 |
+
"step": 2600
|
| 1666 |
+
},
|
| 1667 |
+
{
|
| 1668 |
+
"epoch": 0.83,
|
| 1669 |
+
"eval_loss": 1.0198272466659546,
|
| 1670 |
+
"eval_runtime": 154.3595,
|
| 1671 |
+
"eval_samples_per_second": 12.957,
|
| 1672 |
+
"eval_steps_per_second": 1.62,
|
| 1673 |
+
"step": 2600
|
| 1674 |
+
},
|
| 1675 |
+
{
|
| 1676 |
+
"epoch": 0.84,
|
| 1677 |
+
"learning_rate": 0.00025155555555555554,
|
| 1678 |
+
"loss": 1.0389,
|
| 1679 |
+
"step": 2610
|
| 1680 |
+
},
|
| 1681 |
+
{
|
| 1682 |
+
"epoch": 0.84,
|
| 1683 |
+
"learning_rate": 0.0002513623188405797,
|
| 1684 |
+
"loss": 0.9965,
|
| 1685 |
+
"step": 2620
|
| 1686 |
+
},
|
| 1687 |
+
{
|
| 1688 |
+
"epoch": 0.84,
|
| 1689 |
+
"learning_rate": 0.0002511690821256038,
|
| 1690 |
+
"loss": 1.0292,
|
| 1691 |
+
"step": 2630
|
| 1692 |
+
},
|
| 1693 |
+
{
|
| 1694 |
+
"epoch": 0.84,
|
| 1695 |
+
"learning_rate": 0.00025097584541062797,
|
| 1696 |
+
"loss": 1.0444,
|
| 1697 |
+
"step": 2640
|
| 1698 |
+
},
|
| 1699 |
+
{
|
| 1700 |
+
"epoch": 0.85,
|
| 1701 |
+
"learning_rate": 0.00025078260869565216,
|
| 1702 |
+
"loss": 1.0396,
|
| 1703 |
+
"step": 2650
|
| 1704 |
+
},
|
| 1705 |
+
{
|
| 1706 |
+
"epoch": 0.85,
|
| 1707 |
+
"learning_rate": 0.0002505893719806763,
|
| 1708 |
+
"loss": 1.0269,
|
| 1709 |
+
"step": 2660
|
| 1710 |
+
},
|
| 1711 |
+
{
|
| 1712 |
+
"epoch": 0.85,
|
| 1713 |
+
"learning_rate": 0.00025039613526570045,
|
| 1714 |
+
"loss": 1.0417,
|
| 1715 |
+
"step": 2670
|
| 1716 |
+
},
|
| 1717 |
+
{
|
| 1718 |
+
"epoch": 0.86,
|
| 1719 |
+
"learning_rate": 0.0002502028985507246,
|
| 1720 |
+
"loss": 0.9936,
|
| 1721 |
+
"step": 2680
|
| 1722 |
+
},
|
| 1723 |
+
{
|
| 1724 |
+
"epoch": 0.86,
|
| 1725 |
+
"learning_rate": 0.0002500096618357488,
|
| 1726 |
+
"loss": 1.0638,
|
| 1727 |
+
"step": 2690
|
| 1728 |
+
},
|
| 1729 |
+
{
|
| 1730 |
+
"epoch": 0.86,
|
| 1731 |
+
"learning_rate": 0.00024981642512077293,
|
| 1732 |
+
"loss": 0.9991,
|
| 1733 |
+
"step": 2700
|
| 1734 |
+
},
|
| 1735 |
+
{
|
| 1736 |
+
"epoch": 0.87,
|
| 1737 |
+
"learning_rate": 0.00024962318840579707,
|
| 1738 |
+
"loss": 1.0298,
|
| 1739 |
+
"step": 2710
|
| 1740 |
+
},
|
| 1741 |
+
{
|
| 1742 |
+
"epoch": 0.87,
|
| 1743 |
+
"learning_rate": 0.0002494299516908212,
|
| 1744 |
+
"loss": 1.044,
|
| 1745 |
+
"step": 2720
|
| 1746 |
+
},
|
| 1747 |
+
{
|
| 1748 |
+
"epoch": 0.87,
|
| 1749 |
+
"learning_rate": 0.00024923671497584536,
|
| 1750 |
+
"loss": 0.9888,
|
| 1751 |
+
"step": 2730
|
| 1752 |
+
},
|
| 1753 |
+
{
|
| 1754 |
+
"epoch": 0.88,
|
| 1755 |
+
"learning_rate": 0.00024904347826086955,
|
| 1756 |
+
"loss": 1.0518,
|
| 1757 |
+
"step": 2740
|
| 1758 |
+
},
|
| 1759 |
+
{
|
| 1760 |
+
"epoch": 0.88,
|
| 1761 |
+
"learning_rate": 0.0002488502415458937,
|
| 1762 |
+
"loss": 1.0247,
|
| 1763 |
+
"step": 2750
|
| 1764 |
+
},
|
| 1765 |
+
{
|
| 1766 |
+
"epoch": 0.88,
|
| 1767 |
+
"learning_rate": 0.00024865700483091784,
|
| 1768 |
+
"loss": 1.0104,
|
| 1769 |
+
"step": 2760
|
| 1770 |
+
},
|
| 1771 |
+
{
|
| 1772 |
+
"epoch": 0.89,
|
| 1773 |
+
"learning_rate": 0.000248463768115942,
|
| 1774 |
+
"loss": 1.0126,
|
| 1775 |
+
"step": 2770
|
| 1776 |
+
},
|
| 1777 |
+
{
|
| 1778 |
+
"epoch": 0.89,
|
| 1779 |
+
"learning_rate": 0.0002482705314009662,
|
| 1780 |
+
"loss": 0.9907,
|
| 1781 |
+
"step": 2780
|
| 1782 |
+
},
|
| 1783 |
+
{
|
| 1784 |
+
"epoch": 0.89,
|
| 1785 |
+
"learning_rate": 0.0002480772946859903,
|
| 1786 |
+
"loss": 1.0412,
|
| 1787 |
+
"step": 2790
|
| 1788 |
+
},
|
| 1789 |
+
{
|
| 1790 |
+
"epoch": 0.9,
|
| 1791 |
+
"learning_rate": 0.00024788405797101446,
|
| 1792 |
+
"loss": 1.0184,
|
| 1793 |
+
"step": 2800
|
| 1794 |
+
},
|
| 1795 |
+
{
|
| 1796 |
+
"epoch": 0.9,
|
| 1797 |
+
"eval_loss": 1.0179498195648193,
|
| 1798 |
+
"eval_runtime": 154.3621,
|
| 1799 |
+
"eval_samples_per_second": 12.957,
|
| 1800 |
+
"eval_steps_per_second": 1.62,
|
| 1801 |
+
"step": 2800
|
| 1802 |
+
}
|
| 1803 |
+
],
|
| 1804 |
+
"logging_steps": 10,
|
| 1805 |
+
"max_steps": 15625,
|
| 1806 |
+
"num_train_epochs": 5,
|
| 1807 |
+
"save_steps": 200,
|
| 1808 |
+
"total_flos": 6.003451634879693e+17,
|
| 1809 |
+
"trial_name": null,
|
| 1810 |
+
"trial_params": null
|
| 1811 |
+
}
|
text_models/llama-2-13b/best_model/training_args.bin
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:0af6ccc2cc2b4b87d4eabacd85f7c979febeda4cf2af7b0536f20d1c70964a56
|
| 3 |
+
size 4027
|