zodi1121 commited on
Commit
e47ac0d
1 Parent(s): 4fe5f90

Model save

Browse files
README.md ADDED
@@ -0,0 +1,66 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ license: apache-2.0
3
+ base_model: mistralai/Mistral-7B-v0.1
4
+ tags:
5
+ - trl
6
+ - sft
7
+ - generated_from_trainer
8
+ datasets:
9
+ - generator
10
+ model-index:
11
+ - name: zephyr-7b-sft-full
12
+ results: []
13
+ ---
14
+
15
+ <!-- This model card has been generated automatically according to the information the Trainer had access to. You
16
+ should probably proofread and complete it, then remove this comment. -->
17
+
18
+ # zephyr-7b-sft-full
19
+
20
+ This model is a fine-tuned version of [mistralai/Mistral-7B-v0.1](https://huggingface.co/mistralai/Mistral-7B-v0.1) on the generator dataset.
21
+ It achieves the following results on the evaluation set:
22
+ - Loss: 0.9540
23
+
24
+ ## Model description
25
+
26
+ More information needed
27
+
28
+ ## Intended uses & limitations
29
+
30
+ More information needed
31
+
32
+ ## Training and evaluation data
33
+
34
+ More information needed
35
+
36
+ ## Training procedure
37
+
38
+ ### Training hyperparameters
39
+
40
+ The following hyperparameters were used during training:
41
+ - learning_rate: 2e-05
42
+ - train_batch_size: 8
43
+ - eval_batch_size: 8
44
+ - seed: 42
45
+ - distributed_type: multi-GPU
46
+ - num_devices: 8
47
+ - total_train_batch_size: 64
48
+ - total_eval_batch_size: 64
49
+ - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
50
+ - lr_scheduler_type: cosine
51
+ - lr_scheduler_warmup_ratio: 0.1
52
+ - num_epochs: 1
53
+
54
+ ### Training results
55
+
56
+ | Training Loss | Epoch | Step | Validation Loss |
57
+ |:-------------:|:-----:|:----:|:---------------:|
58
+ | 0.973 | 1.0 | 2167 | 0.9540 |
59
+
60
+
61
+ ### Framework versions
62
+
63
+ - Transformers 4.44.0
64
+ - Pytorch 2.1.2+cu121
65
+ - Datasets 2.21.0
66
+ - Tokenizers 0.19.1
all_results.json ADDED
@@ -0,0 +1,9 @@
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "epoch": 1.0,
3
+ "total_flos": 453725713858560.0,
4
+ "train_loss": 1.0076359760722753,
5
+ "train_runtime": 13620.7718,
6
+ "train_samples": 207864,
7
+ "train_samples_per_second": 10.182,
8
+ "train_steps_per_second": 0.159
9
+ }
generation_config.json ADDED
@@ -0,0 +1,6 @@
 
 
 
 
 
 
 
1
+ {
2
+ "_from_model_config": true,
3
+ "bos_token_id": 1,
4
+ "eos_token_id": 2,
5
+ "transformers_version": "4.44.0"
6
+ }
runs/Aug19_01-30-44_simpo-8-0-0/events.out.tfevents.1724056267.simpo-8-0-0.29615.0 CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:d50a930a2246ed89702124c938dba2c050cb89e12c55eb4510d99bb7d619a7fd
3
- size 96969
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:43f7d9ab526565bf90a7e066c227ba26ef7cc416ef943cbfead2f5121f938367
3
+ size 97594
train_results.json ADDED
@@ -0,0 +1,9 @@
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "epoch": 1.0,
3
+ "total_flos": 453725713858560.0,
4
+ "train_loss": 1.0076359760722753,
5
+ "train_runtime": 13620.7718,
6
+ "train_samples": 207864,
7
+ "train_samples_per_second": 10.182,
8
+ "train_steps_per_second": 0.159
9
+ }
trainer_state.json ADDED
@@ -0,0 +1,3088 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_metric": null,
3
+ "best_model_checkpoint": null,
4
+ "epoch": 1.0,
5
+ "eval_steps": 500,
6
+ "global_step": 2167,
7
+ "is_hyper_param_search": false,
8
+ "is_local_process_zero": true,
9
+ "is_world_process_zero": true,
10
+ "log_history": [
11
+ {
12
+ "epoch": 0.00046146746654360867,
13
+ "grad_norm": 9.51411938145824,
14
+ "learning_rate": 9.216589861751152e-08,
15
+ "loss": 1.1509,
16
+ "step": 1
17
+ },
18
+ {
19
+ "epoch": 0.0023073373327180432,
20
+ "grad_norm": 9.594129890510615,
21
+ "learning_rate": 4.608294930875577e-07,
22
+ "loss": 1.1369,
23
+ "step": 5
24
+ },
25
+ {
26
+ "epoch": 0.0046146746654360865,
27
+ "grad_norm": 5.144220521250804,
28
+ "learning_rate": 9.216589861751154e-07,
29
+ "loss": 1.0949,
30
+ "step": 10
31
+ },
32
+ {
33
+ "epoch": 0.00692201199815413,
34
+ "grad_norm": 3.40382562328973,
35
+ "learning_rate": 1.382488479262673e-06,
36
+ "loss": 1.0191,
37
+ "step": 15
38
+ },
39
+ {
40
+ "epoch": 0.009229349330872173,
41
+ "grad_norm": 3.215915212337555,
42
+ "learning_rate": 1.8433179723502307e-06,
43
+ "loss": 1.0296,
44
+ "step": 20
45
+ },
46
+ {
47
+ "epoch": 0.011536686663590217,
48
+ "grad_norm": 2.650742433924389,
49
+ "learning_rate": 2.3041474654377884e-06,
50
+ "loss": 0.976,
51
+ "step": 25
52
+ },
53
+ {
54
+ "epoch": 0.01384402399630826,
55
+ "grad_norm": 2.7902393320247687,
56
+ "learning_rate": 2.764976958525346e-06,
57
+ "loss": 1.0089,
58
+ "step": 30
59
+ },
60
+ {
61
+ "epoch": 0.016151361329026302,
62
+ "grad_norm": 2.4654209985126148,
63
+ "learning_rate": 3.225806451612903e-06,
64
+ "loss": 0.9951,
65
+ "step": 35
66
+ },
67
+ {
68
+ "epoch": 0.018458698661744346,
69
+ "grad_norm": 2.527650306992279,
70
+ "learning_rate": 3.6866359447004615e-06,
71
+ "loss": 0.9988,
72
+ "step": 40
73
+ },
74
+ {
75
+ "epoch": 0.02076603599446239,
76
+ "grad_norm": 2.655474988385568,
77
+ "learning_rate": 4.147465437788019e-06,
78
+ "loss": 1.004,
79
+ "step": 45
80
+ },
81
+ {
82
+ "epoch": 0.023073373327180433,
83
+ "grad_norm": 2.537803872777302,
84
+ "learning_rate": 4.608294930875577e-06,
85
+ "loss": 0.9863,
86
+ "step": 50
87
+ },
88
+ {
89
+ "epoch": 0.025380710659898477,
90
+ "grad_norm": 2.6464740488754366,
91
+ "learning_rate": 5.0691244239631346e-06,
92
+ "loss": 0.9694,
93
+ "step": 55
94
+ },
95
+ {
96
+ "epoch": 0.02768804799261652,
97
+ "grad_norm": 2.7507142522196566,
98
+ "learning_rate": 5.529953917050692e-06,
99
+ "loss": 0.9688,
100
+ "step": 60
101
+ },
102
+ {
103
+ "epoch": 0.029995385325334564,
104
+ "grad_norm": 2.836749382191462,
105
+ "learning_rate": 5.9907834101382485e-06,
106
+ "loss": 0.9968,
107
+ "step": 65
108
+ },
109
+ {
110
+ "epoch": 0.032302722658052604,
111
+ "grad_norm": 3.048439725741993,
112
+ "learning_rate": 6.451612903225806e-06,
113
+ "loss": 1.0023,
114
+ "step": 70
115
+ },
116
+ {
117
+ "epoch": 0.03461005999077065,
118
+ "grad_norm": 3.072103382083384,
119
+ "learning_rate": 6.912442396313365e-06,
120
+ "loss": 0.9909,
121
+ "step": 75
122
+ },
123
+ {
124
+ "epoch": 0.03691739732348869,
125
+ "grad_norm": 2.4206649546182386,
126
+ "learning_rate": 7.373271889400923e-06,
127
+ "loss": 1.0277,
128
+ "step": 80
129
+ },
130
+ {
131
+ "epoch": 0.03922473465620674,
132
+ "grad_norm": 2.6546178755277254,
133
+ "learning_rate": 7.83410138248848e-06,
134
+ "loss": 1.0123,
135
+ "step": 85
136
+ },
137
+ {
138
+ "epoch": 0.04153207198892478,
139
+ "grad_norm": 2.3888921486796058,
140
+ "learning_rate": 8.294930875576038e-06,
141
+ "loss": 0.9688,
142
+ "step": 90
143
+ },
144
+ {
145
+ "epoch": 0.043839409321642826,
146
+ "grad_norm": 2.32499977135365,
147
+ "learning_rate": 8.755760368663595e-06,
148
+ "loss": 0.9903,
149
+ "step": 95
150
+ },
151
+ {
152
+ "epoch": 0.046146746654360866,
153
+ "grad_norm": 2.392443248966377,
154
+ "learning_rate": 9.216589861751153e-06,
155
+ "loss": 0.9893,
156
+ "step": 100
157
+ },
158
+ {
159
+ "epoch": 0.048454083987078914,
160
+ "grad_norm": 2.680320857358668,
161
+ "learning_rate": 9.67741935483871e-06,
162
+ "loss": 0.9846,
163
+ "step": 105
164
+ },
165
+ {
166
+ "epoch": 0.050761421319796954,
167
+ "grad_norm": 2.532469504703905,
168
+ "learning_rate": 1.0138248847926269e-05,
169
+ "loss": 1.0089,
170
+ "step": 110
171
+ },
172
+ {
173
+ "epoch": 0.053068758652515,
174
+ "grad_norm": 3.1046898569172945,
175
+ "learning_rate": 1.0599078341013826e-05,
176
+ "loss": 1.0266,
177
+ "step": 115
178
+ },
179
+ {
180
+ "epoch": 0.05537609598523304,
181
+ "grad_norm": 2.5574603903328743,
182
+ "learning_rate": 1.1059907834101385e-05,
183
+ "loss": 1.002,
184
+ "step": 120
185
+ },
186
+ {
187
+ "epoch": 0.05768343331795108,
188
+ "grad_norm": 2.452071743693235,
189
+ "learning_rate": 1.152073732718894e-05,
190
+ "loss": 1.03,
191
+ "step": 125
192
+ },
193
+ {
194
+ "epoch": 0.05999077065066913,
195
+ "grad_norm": 2.418236004711402,
196
+ "learning_rate": 1.1981566820276497e-05,
197
+ "loss": 1.006,
198
+ "step": 130
199
+ },
200
+ {
201
+ "epoch": 0.06229810798338717,
202
+ "grad_norm": 2.378674843033103,
203
+ "learning_rate": 1.2442396313364056e-05,
204
+ "loss": 0.9717,
205
+ "step": 135
206
+ },
207
+ {
208
+ "epoch": 0.06460544531610521,
209
+ "grad_norm": 2.288433336347559,
210
+ "learning_rate": 1.2903225806451613e-05,
211
+ "loss": 1.0247,
212
+ "step": 140
213
+ },
214
+ {
215
+ "epoch": 0.06691278264882326,
216
+ "grad_norm": 2.7611308296401282,
217
+ "learning_rate": 1.3364055299539171e-05,
218
+ "loss": 1.003,
219
+ "step": 145
220
+ },
221
+ {
222
+ "epoch": 0.0692201199815413,
223
+ "grad_norm": 2.421569626628109,
224
+ "learning_rate": 1.382488479262673e-05,
225
+ "loss": 1.0197,
226
+ "step": 150
227
+ },
228
+ {
229
+ "epoch": 0.07152745731425934,
230
+ "grad_norm": 2.3978303307399247,
231
+ "learning_rate": 1.4285714285714287e-05,
232
+ "loss": 0.9898,
233
+ "step": 155
234
+ },
235
+ {
236
+ "epoch": 0.07383479464697738,
237
+ "grad_norm": 2.980112762291027,
238
+ "learning_rate": 1.4746543778801846e-05,
239
+ "loss": 1.0275,
240
+ "step": 160
241
+ },
242
+ {
243
+ "epoch": 0.07614213197969544,
244
+ "grad_norm": 2.6176775912790404,
245
+ "learning_rate": 1.5207373271889403e-05,
246
+ "loss": 1.0382,
247
+ "step": 165
248
+ },
249
+ {
250
+ "epoch": 0.07844946931241348,
251
+ "grad_norm": 2.44164739077761,
252
+ "learning_rate": 1.566820276497696e-05,
253
+ "loss": 1.0236,
254
+ "step": 170
255
+ },
256
+ {
257
+ "epoch": 0.08075680664513152,
258
+ "grad_norm": 2.404929271261824,
259
+ "learning_rate": 1.6129032258064517e-05,
260
+ "loss": 1.0304,
261
+ "step": 175
262
+ },
263
+ {
264
+ "epoch": 0.08306414397784956,
265
+ "grad_norm": 2.3566906067196105,
266
+ "learning_rate": 1.6589861751152075e-05,
267
+ "loss": 1.0355,
268
+ "step": 180
269
+ },
270
+ {
271
+ "epoch": 0.0853714813105676,
272
+ "grad_norm": 2.6391147388298246,
273
+ "learning_rate": 1.705069124423963e-05,
274
+ "loss": 1.0417,
275
+ "step": 185
276
+ },
277
+ {
278
+ "epoch": 0.08767881864328565,
279
+ "grad_norm": 2.684091771591401,
280
+ "learning_rate": 1.751152073732719e-05,
281
+ "loss": 1.0434,
282
+ "step": 190
283
+ },
284
+ {
285
+ "epoch": 0.08998615597600369,
286
+ "grad_norm": 2.482023036660176,
287
+ "learning_rate": 1.7972350230414748e-05,
288
+ "loss": 1.0638,
289
+ "step": 195
290
+ },
291
+ {
292
+ "epoch": 0.09229349330872173,
293
+ "grad_norm": 2.4167958259613944,
294
+ "learning_rate": 1.8433179723502307e-05,
295
+ "loss": 1.0422,
296
+ "step": 200
297
+ },
298
+ {
299
+ "epoch": 0.09460083064143977,
300
+ "grad_norm": 2.5336845010658586,
301
+ "learning_rate": 1.8894009216589862e-05,
302
+ "loss": 1.0711,
303
+ "step": 205
304
+ },
305
+ {
306
+ "epoch": 0.09690816797415783,
307
+ "grad_norm": 2.51621301326488,
308
+ "learning_rate": 1.935483870967742e-05,
309
+ "loss": 1.0881,
310
+ "step": 210
311
+ },
312
+ {
313
+ "epoch": 0.09921550530687587,
314
+ "grad_norm": 2.4344384988965175,
315
+ "learning_rate": 1.981566820276498e-05,
316
+ "loss": 1.0735,
317
+ "step": 215
318
+ },
319
+ {
320
+ "epoch": 0.10152284263959391,
321
+ "grad_norm": 2.5052346642024728,
322
+ "learning_rate": 1.9999883200175286e-05,
323
+ "loss": 1.0593,
324
+ "step": 220
325
+ },
326
+ {
327
+ "epoch": 0.10383017997231195,
328
+ "grad_norm": 2.3275673568454986,
329
+ "learning_rate": 1.9999169433349454e-05,
330
+ "loss": 1.0766,
331
+ "step": 225
332
+ },
333
+ {
334
+ "epoch": 0.10613751730503,
335
+ "grad_norm": 2.444969349213072,
336
+ "learning_rate": 1.9997806834748455e-05,
337
+ "loss": 1.0805,
338
+ "step": 230
339
+ },
340
+ {
341
+ "epoch": 0.10844485463774804,
342
+ "grad_norm": 2.5019688689621455,
343
+ "learning_rate": 1.9995795492789368e-05,
344
+ "loss": 1.0795,
345
+ "step": 235
346
+ },
347
+ {
348
+ "epoch": 0.11075219197046608,
349
+ "grad_norm": 2.41754553967893,
350
+ "learning_rate": 1.9993135537985285e-05,
351
+ "loss": 1.0419,
352
+ "step": 240
353
+ },
354
+ {
355
+ "epoch": 0.11305952930318412,
356
+ "grad_norm": 2.4632725320939297,
357
+ "learning_rate": 1.9989827142936864e-05,
358
+ "loss": 1.1022,
359
+ "step": 245
360
+ },
361
+ {
362
+ "epoch": 0.11536686663590216,
363
+ "grad_norm": 2.1283515103999004,
364
+ "learning_rate": 1.9985870522321118e-05,
365
+ "loss": 1.0727,
366
+ "step": 250
367
+ },
368
+ {
369
+ "epoch": 0.11767420396862022,
370
+ "grad_norm": 2.5373992715116316,
371
+ "learning_rate": 1.9981265932877486e-05,
372
+ "loss": 1.0595,
373
+ "step": 255
374
+ },
375
+ {
376
+ "epoch": 0.11998154130133826,
377
+ "grad_norm": 2.382000156883209,
378
+ "learning_rate": 1.9976013673391185e-05,
379
+ "loss": 1.0585,
380
+ "step": 260
381
+ },
382
+ {
383
+ "epoch": 0.1222888786340563,
384
+ "grad_norm": 2.4022206882693857,
385
+ "learning_rate": 1.9970114084673796e-05,
386
+ "loss": 1.089,
387
+ "step": 265
388
+ },
389
+ {
390
+ "epoch": 0.12459621596677434,
391
+ "grad_norm": 2.4577010071803707,
392
+ "learning_rate": 1.996356754954119e-05,
393
+ "loss": 1.0971,
394
+ "step": 270
395
+ },
396
+ {
397
+ "epoch": 0.12690355329949238,
398
+ "grad_norm": 2.973750019978815,
399
+ "learning_rate": 1.995637449278864e-05,
400
+ "loss": 1.083,
401
+ "step": 275
402
+ },
403
+ {
404
+ "epoch": 0.12921089063221042,
405
+ "grad_norm": 2.771443155668778,
406
+ "learning_rate": 1.994853538116329e-05,
407
+ "loss": 1.0948,
408
+ "step": 280
409
+ },
410
+ {
411
+ "epoch": 0.13151822796492849,
412
+ "grad_norm": 2.2945686154224902,
413
+ "learning_rate": 1.9940050723333867e-05,
414
+ "loss": 1.0684,
415
+ "step": 285
416
+ },
417
+ {
418
+ "epoch": 0.13382556529764653,
419
+ "grad_norm": 2.2402037197255864,
420
+ "learning_rate": 1.9930921069857653e-05,
421
+ "loss": 1.0605,
422
+ "step": 290
423
+ },
424
+ {
425
+ "epoch": 0.13613290263036457,
426
+ "grad_norm": 3.0321973969800955,
427
+ "learning_rate": 1.9921147013144782e-05,
428
+ "loss": 1.0629,
429
+ "step": 295
430
+ },
431
+ {
432
+ "epoch": 0.1384402399630826,
433
+ "grad_norm": 2.4295781427476215,
434
+ "learning_rate": 1.991072918741978e-05,
435
+ "loss": 1.0353,
436
+ "step": 300
437
+ },
438
+ {
439
+ "epoch": 0.14074757729580065,
440
+ "grad_norm": 2.5121504192318698,
441
+ "learning_rate": 1.9899668268680438e-05,
442
+ "loss": 1.1156,
443
+ "step": 305
444
+ },
445
+ {
446
+ "epoch": 0.1430549146285187,
447
+ "grad_norm": 2.454863605026453,
448
+ "learning_rate": 1.988796497465392e-05,
449
+ "loss": 1.0921,
450
+ "step": 310
451
+ },
452
+ {
453
+ "epoch": 0.14536225196123673,
454
+ "grad_norm": 2.2532325296884532,
455
+ "learning_rate": 1.98756200647502e-05,
456
+ "loss": 1.0683,
457
+ "step": 315
458
+ },
459
+ {
460
+ "epoch": 0.14766958929395477,
461
+ "grad_norm": 2.3557373973476334,
462
+ "learning_rate": 1.9862634340012796e-05,
463
+ "loss": 1.0559,
464
+ "step": 320
465
+ },
466
+ {
467
+ "epoch": 0.1499769266266728,
468
+ "grad_norm": 2.493215513816939,
469
+ "learning_rate": 1.9849008643066774e-05,
470
+ "loss": 1.0725,
471
+ "step": 325
472
+ },
473
+ {
474
+ "epoch": 0.15228426395939088,
475
+ "grad_norm": 3.2539520651857594,
476
+ "learning_rate": 1.983474385806408e-05,
477
+ "loss": 1.0674,
478
+ "step": 330
479
+ },
480
+ {
481
+ "epoch": 0.15459160129210892,
482
+ "grad_norm": 2.2486130234020165,
483
+ "learning_rate": 1.9819840910626174e-05,
484
+ "loss": 1.0705,
485
+ "step": 335
486
+ },
487
+ {
488
+ "epoch": 0.15689893862482696,
489
+ "grad_norm": 2.237162636902425,
490
+ "learning_rate": 1.9804300767783958e-05,
491
+ "loss": 1.0772,
492
+ "step": 340
493
+ },
494
+ {
495
+ "epoch": 0.159206275957545,
496
+ "grad_norm": 6.51182752032121,
497
+ "learning_rate": 1.9788124437915034e-05,
498
+ "loss": 1.0837,
499
+ "step": 345
500
+ },
501
+ {
502
+ "epoch": 0.16151361329026304,
503
+ "grad_norm": 2.322519163352806,
504
+ "learning_rate": 1.9771312970678258e-05,
505
+ "loss": 1.0405,
506
+ "step": 350
507
+ },
508
+ {
509
+ "epoch": 0.16382095062298108,
510
+ "grad_norm": 2.2704370082078773,
511
+ "learning_rate": 1.9753867456945653e-05,
512
+ "loss": 1.0632,
513
+ "step": 355
514
+ },
515
+ {
516
+ "epoch": 0.16612828795569912,
517
+ "grad_norm": 2.1581678351113602,
518
+ "learning_rate": 1.9735789028731603e-05,
519
+ "loss": 1.0818,
520
+ "step": 360
521
+ },
522
+ {
523
+ "epoch": 0.16843562528841716,
524
+ "grad_norm": 2.0342475926569583,
525
+ "learning_rate": 1.971707885911941e-05,
526
+ "loss": 1.0679,
527
+ "step": 365
528
+ },
529
+ {
530
+ "epoch": 0.1707429626211352,
531
+ "grad_norm": 2.2080262528668957,
532
+ "learning_rate": 1.9697738162185163e-05,
533
+ "loss": 1.0813,
534
+ "step": 370
535
+ },
536
+ {
537
+ "epoch": 0.17305029995385326,
538
+ "grad_norm": 2.627310254608405,
539
+ "learning_rate": 1.9677768192918973e-05,
540
+ "loss": 1.0682,
541
+ "step": 375
542
+ },
543
+ {
544
+ "epoch": 0.1753576372865713,
545
+ "grad_norm": 31.427071093107436,
546
+ "learning_rate": 1.9657170247143526e-05,
547
+ "loss": 1.06,
548
+ "step": 380
549
+ },
550
+ {
551
+ "epoch": 0.17766497461928935,
552
+ "grad_norm": 2.4322378895965016,
553
+ "learning_rate": 1.9635945661430006e-05,
554
+ "loss": 1.0648,
555
+ "step": 385
556
+ },
557
+ {
558
+ "epoch": 0.17997231195200739,
559
+ "grad_norm": 2.446435285466414,
560
+ "learning_rate": 1.9614095813011366e-05,
561
+ "loss": 1.0795,
562
+ "step": 390
563
+ },
564
+ {
565
+ "epoch": 0.18227964928472543,
566
+ "grad_norm": 2.6478307008342745,
567
+ "learning_rate": 1.9591622119692953e-05,
568
+ "loss": 1.0655,
569
+ "step": 395
570
+ },
571
+ {
572
+ "epoch": 0.18458698661744347,
573
+ "grad_norm": 3.5462973637007433,
574
+ "learning_rate": 1.956852603976052e-05,
575
+ "loss": 1.074,
576
+ "step": 400
577
+ },
578
+ {
579
+ "epoch": 0.1868943239501615,
580
+ "grad_norm": 2.1952483345123834,
581
+ "learning_rate": 1.9544809071885603e-05,
582
+ "loss": 1.066,
583
+ "step": 405
584
+ },
585
+ {
586
+ "epoch": 0.18920166128287955,
587
+ "grad_norm": 2.2118543537817397,
588
+ "learning_rate": 1.9520472755028256e-05,
589
+ "loss": 1.0567,
590
+ "step": 410
591
+ },
592
+ {
593
+ "epoch": 0.1915089986155976,
594
+ "grad_norm": 2.1220225112366085,
595
+ "learning_rate": 1.9495518668337204e-05,
596
+ "loss": 1.0485,
597
+ "step": 415
598
+ },
599
+ {
600
+ "epoch": 0.19381633594831565,
601
+ "grad_norm": 2.0821093984759433,
602
+ "learning_rate": 1.946994843104737e-05,
603
+ "loss": 1.0374,
604
+ "step": 420
605
+ },
606
+ {
607
+ "epoch": 0.1961236732810337,
608
+ "grad_norm": 2.0190113966629433,
609
+ "learning_rate": 1.944376370237481e-05,
610
+ "loss": 1.064,
611
+ "step": 425
612
+ },
613
+ {
614
+ "epoch": 0.19843101061375173,
615
+ "grad_norm": 2.056684419876963,
616
+ "learning_rate": 1.9416966181409047e-05,
617
+ "loss": 1.0524,
618
+ "step": 430
619
+ },
620
+ {
621
+ "epoch": 0.20073834794646978,
622
+ "grad_norm": 2.366243541981115,
623
+ "learning_rate": 1.9389557607002808e-05,
624
+ "loss": 1.0587,
625
+ "step": 435
626
+ },
627
+ {
628
+ "epoch": 0.20304568527918782,
629
+ "grad_norm": 2.3366923572205356,
630
+ "learning_rate": 1.9361539757659212e-05,
631
+ "loss": 1.104,
632
+ "step": 440
633
+ },
634
+ {
635
+ "epoch": 0.20535302261190586,
636
+ "grad_norm": 2.135135120153321,
637
+ "learning_rate": 1.933291445141635e-05,
638
+ "loss": 1.0838,
639
+ "step": 445
640
+ },
641
+ {
642
+ "epoch": 0.2076603599446239,
643
+ "grad_norm": 2.1686749928093367,
644
+ "learning_rate": 1.930368354572932e-05,
645
+ "loss": 1.0889,
646
+ "step": 450
647
+ },
648
+ {
649
+ "epoch": 0.20996769727734194,
650
+ "grad_norm": 2.18295591084296,
651
+ "learning_rate": 1.9273848937349712e-05,
652
+ "loss": 1.0517,
653
+ "step": 455
654
+ },
655
+ {
656
+ "epoch": 0.21227503461006,
657
+ "grad_norm": 2.015301818923552,
658
+ "learning_rate": 1.92434125622025e-05,
659
+ "loss": 1.0766,
660
+ "step": 460
661
+ },
662
+ {
663
+ "epoch": 0.21458237194277804,
664
+ "grad_norm": 2.0741949328544984,
665
+ "learning_rate": 1.9212376395260447e-05,
666
+ "loss": 1.0896,
667
+ "step": 465
668
+ },
669
+ {
670
+ "epoch": 0.21688970927549608,
671
+ "grad_norm": 2.15451982178122,
672
+ "learning_rate": 1.9180742450415962e-05,
673
+ "loss": 1.0763,
674
+ "step": 470
675
+ },
676
+ {
677
+ "epoch": 0.21919704660821412,
678
+ "grad_norm": 2.0906260465476967,
679
+ "learning_rate": 1.9148512780350384e-05,
680
+ "loss": 1.086,
681
+ "step": 475
682
+ },
683
+ {
684
+ "epoch": 0.22150438394093216,
685
+ "grad_norm": 2.031559261836197,
686
+ "learning_rate": 1.9115689476400817e-05,
687
+ "loss": 1.059,
688
+ "step": 480
689
+ },
690
+ {
691
+ "epoch": 0.2238117212736502,
692
+ "grad_norm": 2.07650174311531,
693
+ "learning_rate": 1.9082274668424423e-05,
694
+ "loss": 1.0679,
695
+ "step": 485
696
+ },
697
+ {
698
+ "epoch": 0.22611905860636825,
699
+ "grad_norm": 2.126208239890011,
700
+ "learning_rate": 1.9048270524660197e-05,
701
+ "loss": 1.0809,
702
+ "step": 490
703
+ },
704
+ {
705
+ "epoch": 0.22842639593908629,
706
+ "grad_norm": 1.9929349716624978,
707
+ "learning_rate": 1.9013679251588304e-05,
708
+ "loss": 1.085,
709
+ "step": 495
710
+ },
711
+ {
712
+ "epoch": 0.23073373327180433,
713
+ "grad_norm": 3.001431077273745,
714
+ "learning_rate": 1.8978503093786882e-05,
715
+ "loss": 1.0558,
716
+ "step": 500
717
+ },
718
+ {
719
+ "epoch": 0.2330410706045224,
720
+ "grad_norm": 1.9284000626000521,
721
+ "learning_rate": 1.89427443337864e-05,
722
+ "loss": 1.0685,
723
+ "step": 505
724
+ },
725
+ {
726
+ "epoch": 0.23534840793724043,
727
+ "grad_norm": 2.156814659249471,
728
+ "learning_rate": 1.890640529192155e-05,
729
+ "loss": 1.0857,
730
+ "step": 510
731
+ },
732
+ {
733
+ "epoch": 0.23765574526995847,
734
+ "grad_norm": 2.2063349330204174,
735
+ "learning_rate": 1.8869488326180682e-05,
736
+ "loss": 1.092,
737
+ "step": 515
738
+ },
739
+ {
740
+ "epoch": 0.23996308260267651,
741
+ "grad_norm": 1.8963715836357997,
742
+ "learning_rate": 1.8831995832052802e-05,
743
+ "loss": 1.0694,
744
+ "step": 520
745
+ },
746
+ {
747
+ "epoch": 0.24227041993539455,
748
+ "grad_norm": 2.0285632136378613,
749
+ "learning_rate": 1.8793930242372117e-05,
750
+ "loss": 1.0795,
751
+ "step": 525
752
+ },
753
+ {
754
+ "epoch": 0.2445777572681126,
755
+ "grad_norm": 2.099474069037447,
756
+ "learning_rate": 1.8755294027160203e-05,
757
+ "loss": 1.0893,
758
+ "step": 530
759
+ },
760
+ {
761
+ "epoch": 0.24688509460083063,
762
+ "grad_norm": 2.0358502445768165,
763
+ "learning_rate": 1.8716089693465696e-05,
764
+ "loss": 1.086,
765
+ "step": 535
766
+ },
767
+ {
768
+ "epoch": 0.24919243193354867,
769
+ "grad_norm": 2.1218454361521633,
770
+ "learning_rate": 1.8676319785201617e-05,
771
+ "loss": 1.0842,
772
+ "step": 540
773
+ },
774
+ {
775
+ "epoch": 0.2514997692662667,
776
+ "grad_norm": 2.0341225955626583,
777
+ "learning_rate": 1.8635986882980325e-05,
778
+ "loss": 1.0625,
779
+ "step": 545
780
+ },
781
+ {
782
+ "epoch": 0.25380710659898476,
783
+ "grad_norm": 2.3910625184538747,
784
+ "learning_rate": 1.8595093603946053e-05,
785
+ "loss": 1.0727,
786
+ "step": 550
787
+ },
788
+ {
789
+ "epoch": 0.2561144439317028,
790
+ "grad_norm": 1.98644765469211,
791
+ "learning_rate": 1.855364260160507e-05,
792
+ "loss": 1.0595,
793
+ "step": 555
794
+ },
795
+ {
796
+ "epoch": 0.25842178126442084,
797
+ "grad_norm": 2.208738179396901,
798
+ "learning_rate": 1.851163656565351e-05,
799
+ "loss": 1.0936,
800
+ "step": 560
801
+ },
802
+ {
803
+ "epoch": 0.2607291185971389,
804
+ "grad_norm": 2.0209364206754645,
805
+ "learning_rate": 1.846907822180286e-05,
806
+ "loss": 1.0684,
807
+ "step": 565
808
+ },
809
+ {
810
+ "epoch": 0.26303645592985697,
811
+ "grad_norm": 1.925369099665116,
812
+ "learning_rate": 1.842597033160306e-05,
813
+ "loss": 1.0669,
814
+ "step": 570
815
+ },
816
+ {
817
+ "epoch": 0.265343793262575,
818
+ "grad_norm": 2.169504176441067,
819
+ "learning_rate": 1.8382315692263324e-05,
820
+ "loss": 1.0914,
821
+ "step": 575
822
+ },
823
+ {
824
+ "epoch": 0.26765113059529305,
825
+ "grad_norm": 2.0095996014073503,
826
+ "learning_rate": 1.8338117136470648e-05,
827
+ "loss": 1.0679,
828
+ "step": 580
829
+ },
830
+ {
831
+ "epoch": 0.2699584679280111,
832
+ "grad_norm": 2.0780448467433468,
833
+ "learning_rate": 1.829337753220597e-05,
834
+ "loss": 1.0823,
835
+ "step": 585
836
+ },
837
+ {
838
+ "epoch": 0.27226580526072913,
839
+ "grad_norm": 1.9092130149771946,
840
+ "learning_rate": 1.8248099782558103e-05,
841
+ "loss": 1.0485,
842
+ "step": 590
843
+ },
844
+ {
845
+ "epoch": 0.2745731425934472,
846
+ "grad_norm": 2.2904699258286914,
847
+ "learning_rate": 1.820228682553533e-05,
848
+ "loss": 1.0676,
849
+ "step": 595
850
+ },
851
+ {
852
+ "epoch": 0.2768804799261652,
853
+ "grad_norm": 2.1592942059891884,
854
+ "learning_rate": 1.8155941633874787e-05,
855
+ "loss": 1.0862,
856
+ "step": 600
857
+ },
858
+ {
859
+ "epoch": 0.27918781725888325,
860
+ "grad_norm": 1.9056960337173154,
861
+ "learning_rate": 1.810906721484954e-05,
862
+ "loss": 1.027,
863
+ "step": 605
864
+ },
865
+ {
866
+ "epoch": 0.2814951545916013,
867
+ "grad_norm": 2.029717811241469,
868
+ "learning_rate": 1.8061666610073465e-05,
869
+ "loss": 1.0638,
870
+ "step": 610
871
+ },
872
+ {
873
+ "epoch": 0.28380249192431933,
874
+ "grad_norm": 2.0411421295106873,
875
+ "learning_rate": 1.8013742895303883e-05,
876
+ "loss": 1.0667,
877
+ "step": 615
878
+ },
879
+ {
880
+ "epoch": 0.2861098292570374,
881
+ "grad_norm": 1.924799713813513,
882
+ "learning_rate": 1.7965299180241963e-05,
883
+ "loss": 1.0685,
884
+ "step": 620
885
+ },
886
+ {
887
+ "epoch": 0.2884171665897554,
888
+ "grad_norm": 2.171875799314523,
889
+ "learning_rate": 1.791633860833096e-05,
890
+ "loss": 1.0463,
891
+ "step": 625
892
+ },
893
+ {
894
+ "epoch": 0.29072450392247345,
895
+ "grad_norm": 2.068372996208825,
896
+ "learning_rate": 1.7866864356552215e-05,
897
+ "loss": 1.0715,
898
+ "step": 630
899
+ },
900
+ {
901
+ "epoch": 0.2930318412551915,
902
+ "grad_norm": 1.8601211490681129,
903
+ "learning_rate": 1.7816879635219028e-05,
904
+ "loss": 1.0576,
905
+ "step": 635
906
+ },
907
+ {
908
+ "epoch": 0.29533917858790953,
909
+ "grad_norm": 1.9725316785259686,
910
+ "learning_rate": 1.7766387687768338e-05,
911
+ "loss": 1.0648,
912
+ "step": 640
913
+ },
914
+ {
915
+ "epoch": 0.2976465159206276,
916
+ "grad_norm": 2.1844471268704515,
917
+ "learning_rate": 1.7715391790550255e-05,
918
+ "loss": 1.0637,
919
+ "step": 645
920
+ },
921
+ {
922
+ "epoch": 0.2999538532533456,
923
+ "grad_norm": 1.933021204525043,
924
+ "learning_rate": 1.766389525261547e-05,
925
+ "loss": 1.0803,
926
+ "step": 650
927
+ },
928
+ {
929
+ "epoch": 0.30226119058606365,
930
+ "grad_norm": 2.1351960039602695,
931
+ "learning_rate": 1.7611901415500536e-05,
932
+ "loss": 1.0979,
933
+ "step": 655
934
+ },
935
+ {
936
+ "epoch": 0.30456852791878175,
937
+ "grad_norm": 1.9611319269471612,
938
+ "learning_rate": 1.7559413653011027e-05,
939
+ "loss": 1.0652,
940
+ "step": 660
941
+ },
942
+ {
943
+ "epoch": 0.3068758652514998,
944
+ "grad_norm": 2.033679368734863,
945
+ "learning_rate": 1.7506435371002635e-05,
946
+ "loss": 1.0749,
947
+ "step": 665
948
+ },
949
+ {
950
+ "epoch": 0.30918320258421783,
951
+ "grad_norm": 2.0279720872015354,
952
+ "learning_rate": 1.745297000716016e-05,
953
+ "loss": 1.078,
954
+ "step": 670
955
+ },
956
+ {
957
+ "epoch": 0.31149053991693587,
958
+ "grad_norm": 1.989733876253561,
959
+ "learning_rate": 1.7399021030774443e-05,
960
+ "loss": 1.0639,
961
+ "step": 675
962
+ },
963
+ {
964
+ "epoch": 0.3137978772496539,
965
+ "grad_norm": 1.9037569950190747,
966
+ "learning_rate": 1.734459194251725e-05,
967
+ "loss": 1.0721,
968
+ "step": 680
969
+ },
970
+ {
971
+ "epoch": 0.31610521458237195,
972
+ "grad_norm": 2.183774346551292,
973
+ "learning_rate": 1.7289686274214116e-05,
974
+ "loss": 1.0755,
975
+ "step": 685
976
+ },
977
+ {
978
+ "epoch": 0.31841255191509,
979
+ "grad_norm": 1.992668508208317,
980
+ "learning_rate": 1.7234307588615177e-05,
981
+ "loss": 1.0761,
982
+ "step": 690
983
+ },
984
+ {
985
+ "epoch": 0.32071988924780803,
986
+ "grad_norm": 1.9985850630928745,
987
+ "learning_rate": 1.717845947916398e-05,
988
+ "loss": 1.0575,
989
+ "step": 695
990
+ },
991
+ {
992
+ "epoch": 0.3230272265805261,
993
+ "grad_norm": 2.1480400724448883,
994
+ "learning_rate": 1.712214556976431e-05,
995
+ "loss": 1.0404,
996
+ "step": 700
997
+ },
998
+ {
999
+ "epoch": 0.3253345639132441,
1000
+ "grad_norm": 1.9503339704430334,
1001
+ "learning_rate": 1.7065369514545054e-05,
1002
+ "loss": 1.0579,
1003
+ "step": 705
1004
+ },
1005
+ {
1006
+ "epoch": 0.32764190124596215,
1007
+ "grad_norm": 1.971699140050545,
1008
+ "learning_rate": 1.7008134997623066e-05,
1009
+ "loss": 1.0629,
1010
+ "step": 710
1011
+ },
1012
+ {
1013
+ "epoch": 0.3299492385786802,
1014
+ "grad_norm": 1.97358622805482,
1015
+ "learning_rate": 1.695044573286413e-05,
1016
+ "loss": 1.039,
1017
+ "step": 715
1018
+ },
1019
+ {
1020
+ "epoch": 0.33225657591139823,
1021
+ "grad_norm": 1.8903289514072814,
1022
+ "learning_rate": 1.6892305463641967e-05,
1023
+ "loss": 1.0996,
1024
+ "step": 720
1025
+ },
1026
+ {
1027
+ "epoch": 0.3345639132441163,
1028
+ "grad_norm": 1.9171530806208752,
1029
+ "learning_rate": 1.6833717962595327e-05,
1030
+ "loss": 1.0587,
1031
+ "step": 725
1032
+ },
1033
+ {
1034
+ "epoch": 0.3368712505768343,
1035
+ "grad_norm": 2.0292768253738855,
1036
+ "learning_rate": 1.677468703138319e-05,
1037
+ "loss": 1.0534,
1038
+ "step": 730
1039
+ },
1040
+ {
1041
+ "epoch": 0.33917858790955235,
1042
+ "grad_norm": 1.9857495035997068,
1043
+ "learning_rate": 1.6715216500438093e-05,
1044
+ "loss": 1.0805,
1045
+ "step": 735
1046
+ },
1047
+ {
1048
+ "epoch": 0.3414859252422704,
1049
+ "grad_norm": 5.464414796561983,
1050
+ "learning_rate": 1.6655310228717565e-05,
1051
+ "loss": 1.0802,
1052
+ "step": 740
1053
+ },
1054
+ {
1055
+ "epoch": 0.3437932625749885,
1056
+ "grad_norm": 1.909425909480839,
1057
+ "learning_rate": 1.6594972103453727e-05,
1058
+ "loss": 1.0813,
1059
+ "step": 745
1060
+ },
1061
+ {
1062
+ "epoch": 0.34610059990770653,
1063
+ "grad_norm": 1.9164783421961078,
1064
+ "learning_rate": 1.6534206039901057e-05,
1065
+ "loss": 1.0466,
1066
+ "step": 750
1067
+ },
1068
+ {
1069
+ "epoch": 0.34840793724042457,
1070
+ "grad_norm": 4.300395520109931,
1071
+ "learning_rate": 1.647301598108234e-05,
1072
+ "loss": 1.0326,
1073
+ "step": 755
1074
+ },
1075
+ {
1076
+ "epoch": 0.3507152745731426,
1077
+ "grad_norm": 2.2226539635666827,
1078
+ "learning_rate": 1.64114058975328e-05,
1079
+ "loss": 1.0824,
1080
+ "step": 760
1081
+ },
1082
+ {
1083
+ "epoch": 0.35302261190586065,
1084
+ "grad_norm": 2.08738140836867,
1085
+ "learning_rate": 1.6349379787042478e-05,
1086
+ "loss": 1.0445,
1087
+ "step": 765
1088
+ },
1089
+ {
1090
+ "epoch": 0.3553299492385787,
1091
+ "grad_norm": 1.7956395961308758,
1092
+ "learning_rate": 1.6286941674396788e-05,
1093
+ "loss": 1.0283,
1094
+ "step": 770
1095
+ },
1096
+ {
1097
+ "epoch": 0.35763728657129673,
1098
+ "grad_norm": 1.9001406773036147,
1099
+ "learning_rate": 1.6224095611115385e-05,
1100
+ "loss": 1.0558,
1101
+ "step": 775
1102
+ },
1103
+ {
1104
+ "epoch": 0.35994462390401477,
1105
+ "grad_norm": 1.8584506601925908,
1106
+ "learning_rate": 1.6160845675189254e-05,
1107
+ "loss": 1.0315,
1108
+ "step": 780
1109
+ },
1110
+ {
1111
+ "epoch": 0.3622519612367328,
1112
+ "grad_norm": 1.8994200106765273,
1113
+ "learning_rate": 1.6097195970816094e-05,
1114
+ "loss": 1.0736,
1115
+ "step": 785
1116
+ },
1117
+ {
1118
+ "epoch": 0.36455929856945085,
1119
+ "grad_norm": 2.396252821544053,
1120
+ "learning_rate": 1.603315062813401e-05,
1121
+ "loss": 1.0605,
1122
+ "step": 790
1123
+ },
1124
+ {
1125
+ "epoch": 0.3668666359021689,
1126
+ "grad_norm": 1.798952489279231,
1127
+ "learning_rate": 1.596871380295351e-05,
1128
+ "loss": 1.0439,
1129
+ "step": 795
1130
+ },
1131
+ {
1132
+ "epoch": 0.36917397323488693,
1133
+ "grad_norm": 1.8907451459454219,
1134
+ "learning_rate": 1.5903889676487832e-05,
1135
+ "loss": 1.047,
1136
+ "step": 800
1137
+ },
1138
+ {
1139
+ "epoch": 0.37148131056760497,
1140
+ "grad_norm": 1.9272449578154556,
1141
+ "learning_rate": 1.5838682455081657e-05,
1142
+ "loss": 1.0557,
1143
+ "step": 805
1144
+ },
1145
+ {
1146
+ "epoch": 0.373788647900323,
1147
+ "grad_norm": 1.8500068465129675,
1148
+ "learning_rate": 1.5773096369938125e-05,
1149
+ "loss": 1.0448,
1150
+ "step": 810
1151
+ },
1152
+ {
1153
+ "epoch": 0.37609598523304105,
1154
+ "grad_norm": 2.024989082401722,
1155
+ "learning_rate": 1.570713567684432e-05,
1156
+ "loss": 1.0444,
1157
+ "step": 815
1158
+ },
1159
+ {
1160
+ "epoch": 0.3784033225657591,
1161
+ "grad_norm": 1.864545609223796,
1162
+ "learning_rate": 1.5640804655895086e-05,
1163
+ "loss": 1.0316,
1164
+ "step": 820
1165
+ },
1166
+ {
1167
+ "epoch": 0.38071065989847713,
1168
+ "grad_norm": 1.9810163039010853,
1169
+ "learning_rate": 1.557410761121532e-05,
1170
+ "loss": 1.0476,
1171
+ "step": 825
1172
+ },
1173
+ {
1174
+ "epoch": 0.3830179972311952,
1175
+ "grad_norm": 1.9715732068507474,
1176
+ "learning_rate": 1.5507048870680668e-05,
1177
+ "loss": 1.0092,
1178
+ "step": 830
1179
+ },
1180
+ {
1181
+ "epoch": 0.38532533456391327,
1182
+ "grad_norm": 1.9346233566232378,
1183
+ "learning_rate": 1.5439632785636707e-05,
1184
+ "loss": 1.0834,
1185
+ "step": 835
1186
+ },
1187
+ {
1188
+ "epoch": 0.3876326718966313,
1189
+ "grad_norm": 2.2247085368619164,
1190
+ "learning_rate": 1.5371863730616586e-05,
1191
+ "loss": 1.0608,
1192
+ "step": 840
1193
+ },
1194
+ {
1195
+ "epoch": 0.38994000922934935,
1196
+ "grad_norm": 1.855445999462738,
1197
+ "learning_rate": 1.5303746103057163e-05,
1198
+ "loss": 1.0311,
1199
+ "step": 845
1200
+ },
1201
+ {
1202
+ "epoch": 0.3922473465620674,
1203
+ "grad_norm": 1.8433500481185805,
1204
+ "learning_rate": 1.5235284323013674e-05,
1205
+ "loss": 1.0513,
1206
+ "step": 850
1207
+ },
1208
+ {
1209
+ "epoch": 0.39455468389478543,
1210
+ "grad_norm": 1.9238020550812749,
1211
+ "learning_rate": 1.5166482832872923e-05,
1212
+ "loss": 1.0611,
1213
+ "step": 855
1214
+ },
1215
+ {
1216
+ "epoch": 0.39686202122750347,
1217
+ "grad_norm": 2.034539491931288,
1218
+ "learning_rate": 1.5097346097065008e-05,
1219
+ "loss": 1.0369,
1220
+ "step": 860
1221
+ },
1222
+ {
1223
+ "epoch": 0.3991693585602215,
1224
+ "grad_norm": 1.8719773240320596,
1225
+ "learning_rate": 1.5027878601773633e-05,
1226
+ "loss": 1.031,
1227
+ "step": 865
1228
+ },
1229
+ {
1230
+ "epoch": 0.40147669589293955,
1231
+ "grad_norm": 1.8218549093076317,
1232
+ "learning_rate": 1.4958084854645018e-05,
1233
+ "loss": 1.027,
1234
+ "step": 870
1235
+ },
1236
+ {
1237
+ "epoch": 0.4037840332256576,
1238
+ "grad_norm": 1.908377236915306,
1239
+ "learning_rate": 1.4887969384495403e-05,
1240
+ "loss": 1.0505,
1241
+ "step": 875
1242
+ },
1243
+ {
1244
+ "epoch": 0.40609137055837563,
1245
+ "grad_norm": 1.882874108335332,
1246
+ "learning_rate": 1.4817536741017153e-05,
1247
+ "loss": 1.0421,
1248
+ "step": 880
1249
+ },
1250
+ {
1251
+ "epoch": 0.40839870789109367,
1252
+ "grad_norm": 2.0217065440618622,
1253
+ "learning_rate": 1.4746791494483584e-05,
1254
+ "loss": 1.0533,
1255
+ "step": 885
1256
+ },
1257
+ {
1258
+ "epoch": 0.4107060452238117,
1259
+ "grad_norm": 1.8717323475177303,
1260
+ "learning_rate": 1.4675738235452352e-05,
1261
+ "loss": 1.0279,
1262
+ "step": 890
1263
+ },
1264
+ {
1265
+ "epoch": 0.41301338255652975,
1266
+ "grad_norm": 1.9788825364185045,
1267
+ "learning_rate": 1.4604381574467616e-05,
1268
+ "loss": 1.042,
1269
+ "step": 895
1270
+ },
1271
+ {
1272
+ "epoch": 0.4153207198892478,
1273
+ "grad_norm": 1.9327030504589935,
1274
+ "learning_rate": 1.4532726141760849e-05,
1275
+ "loss": 1.06,
1276
+ "step": 900
1277
+ },
1278
+ {
1279
+ "epoch": 0.41762805722196583,
1280
+ "grad_norm": 1.8050202525178007,
1281
+ "learning_rate": 1.4460776586950393e-05,
1282
+ "loss": 1.0176,
1283
+ "step": 905
1284
+ },
1285
+ {
1286
+ "epoch": 0.41993539455468387,
1287
+ "grad_norm": 1.7140772518888605,
1288
+ "learning_rate": 1.438853757873975e-05,
1289
+ "loss": 1.0336,
1290
+ "step": 910
1291
+ },
1292
+ {
1293
+ "epoch": 0.4222427318874019,
1294
+ "grad_norm": 1.9381284110778458,
1295
+ "learning_rate": 1.4316013804614644e-05,
1296
+ "loss": 1.0283,
1297
+ "step": 915
1298
+ },
1299
+ {
1300
+ "epoch": 0.42455006922012,
1301
+ "grad_norm": 1.8569863683755345,
1302
+ "learning_rate": 1.4243209970538846e-05,
1303
+ "loss": 1.0295,
1304
+ "step": 920
1305
+ },
1306
+ {
1307
+ "epoch": 0.42685740655283805,
1308
+ "grad_norm": 1.7584125894267681,
1309
+ "learning_rate": 1.4170130800648814e-05,
1310
+ "loss": 1.0451,
1311
+ "step": 925
1312
+ },
1313
+ {
1314
+ "epoch": 0.4291647438855561,
1315
+ "grad_norm": 1.8468563006595364,
1316
+ "learning_rate": 1.4096781036947159e-05,
1317
+ "loss": 1.0329,
1318
+ "step": 930
1319
+ },
1320
+ {
1321
+ "epoch": 0.43147208121827413,
1322
+ "grad_norm": 1.8005410726866136,
1323
+ "learning_rate": 1.4023165438994933e-05,
1324
+ "loss": 1.0523,
1325
+ "step": 935
1326
+ },
1327
+ {
1328
+ "epoch": 0.43377941855099217,
1329
+ "grad_norm": 1.7881203203680747,
1330
+ "learning_rate": 1.394928878360279e-05,
1331
+ "loss": 1.052,
1332
+ "step": 940
1333
+ },
1334
+ {
1335
+ "epoch": 0.4360867558837102,
1336
+ "grad_norm": 1.9402582404112974,
1337
+ "learning_rate": 1.3875155864521031e-05,
1338
+ "loss": 1.0418,
1339
+ "step": 945
1340
+ },
1341
+ {
1342
+ "epoch": 0.43839409321642825,
1343
+ "grad_norm": 1.926002050119894,
1344
+ "learning_rate": 1.3800771492128537e-05,
1345
+ "loss": 1.0491,
1346
+ "step": 950
1347
+ },
1348
+ {
1349
+ "epoch": 0.4407014305491463,
1350
+ "grad_norm": 1.8807563751664647,
1351
+ "learning_rate": 1.3726140493120639e-05,
1352
+ "loss": 1.032,
1353
+ "step": 955
1354
+ },
1355
+ {
1356
+ "epoch": 0.44300876788186433,
1357
+ "grad_norm": 1.9189485256851713,
1358
+ "learning_rate": 1.3651267710195909e-05,
1359
+ "loss": 1.0355,
1360
+ "step": 960
1361
+ },
1362
+ {
1363
+ "epoch": 0.44531610521458237,
1364
+ "grad_norm": 1.9803461150155048,
1365
+ "learning_rate": 1.3576158001741932e-05,
1366
+ "loss": 1.0569,
1367
+ "step": 965
1368
+ },
1369
+ {
1370
+ "epoch": 0.4476234425473004,
1371
+ "grad_norm": 2.018305042251882,
1372
+ "learning_rate": 1.3500816241520059e-05,
1373
+ "loss": 1.04,
1374
+ "step": 970
1375
+ },
1376
+ {
1377
+ "epoch": 0.44993077988001845,
1378
+ "grad_norm": 1.7580864552202506,
1379
+ "learning_rate": 1.3425247318349137e-05,
1380
+ "loss": 1.0075,
1381
+ "step": 975
1382
+ },
1383
+ {
1384
+ "epoch": 0.4522381172127365,
1385
+ "grad_norm": 1.8967387580024155,
1386
+ "learning_rate": 1.3349456135788298e-05,
1387
+ "loss": 1.0429,
1388
+ "step": 980
1389
+ },
1390
+ {
1391
+ "epoch": 0.45454545454545453,
1392
+ "grad_norm": 2.2301409193225985,
1393
+ "learning_rate": 1.3273447611818768e-05,
1394
+ "loss": 1.0244,
1395
+ "step": 985
1396
+ },
1397
+ {
1398
+ "epoch": 0.45685279187817257,
1399
+ "grad_norm": 1.8218900361937265,
1400
+ "learning_rate": 1.3197226678524739e-05,
1401
+ "loss": 1.0006,
1402
+ "step": 990
1403
+ },
1404
+ {
1405
+ "epoch": 0.4591601292108906,
1406
+ "grad_norm": 1.8705871989801575,
1407
+ "learning_rate": 1.3120798281773346e-05,
1408
+ "loss": 1.0382,
1409
+ "step": 995
1410
+ },
1411
+ {
1412
+ "epoch": 0.46146746654360865,
1413
+ "grad_norm": 1.8993921065361903,
1414
+ "learning_rate": 1.3044167380893726e-05,
1415
+ "loss": 1.0543,
1416
+ "step": 1000
1417
+ },
1418
+ {
1419
+ "epoch": 0.46377480387632675,
1420
+ "grad_norm": 1.762141098208751,
1421
+ "learning_rate": 1.2967338948355217e-05,
1422
+ "loss": 1.031,
1423
+ "step": 1005
1424
+ },
1425
+ {
1426
+ "epoch": 0.4660821412090448,
1427
+ "grad_norm": 1.8349620217027005,
1428
+ "learning_rate": 1.2890317969444716e-05,
1429
+ "loss": 1.0104,
1430
+ "step": 1010
1431
+ },
1432
+ {
1433
+ "epoch": 0.4683894785417628,
1434
+ "grad_norm": 1.9527169882770812,
1435
+ "learning_rate": 1.2813109441943166e-05,
1436
+ "loss": 1.0325,
1437
+ "step": 1015
1438
+ },
1439
+ {
1440
+ "epoch": 0.47069681587448087,
1441
+ "grad_norm": 1.7594153130967782,
1442
+ "learning_rate": 1.273571837580127e-05,
1443
+ "loss": 1.0476,
1444
+ "step": 1020
1445
+ },
1446
+ {
1447
+ "epoch": 0.4730041532071989,
1448
+ "grad_norm": 1.7823802580407797,
1449
+ "learning_rate": 1.2658149792814405e-05,
1450
+ "loss": 1.0397,
1451
+ "step": 1025
1452
+ },
1453
+ {
1454
+ "epoch": 0.47531149053991695,
1455
+ "grad_norm": 1.7288773807653248,
1456
+ "learning_rate": 1.258040872629676e-05,
1457
+ "loss": 1.0419,
1458
+ "step": 1030
1459
+ },
1460
+ {
1461
+ "epoch": 0.477618827872635,
1462
+ "grad_norm": 1.8969879276116197,
1463
+ "learning_rate": 1.2502500220754736e-05,
1464
+ "loss": 1.0538,
1465
+ "step": 1035
1466
+ },
1467
+ {
1468
+ "epoch": 0.47992616520535303,
1469
+ "grad_norm": 1.9748280209096565,
1470
+ "learning_rate": 1.242442933155961e-05,
1471
+ "loss": 1.0088,
1472
+ "step": 1040
1473
+ },
1474
+ {
1475
+ "epoch": 0.48223350253807107,
1476
+ "grad_norm": 1.8630834023430007,
1477
+ "learning_rate": 1.2346201124619502e-05,
1478
+ "loss": 1.0041,
1479
+ "step": 1045
1480
+ },
1481
+ {
1482
+ "epoch": 0.4845408398707891,
1483
+ "grad_norm": 1.93282001404706,
1484
+ "learning_rate": 1.2267820676050657e-05,
1485
+ "loss": 1.0117,
1486
+ "step": 1050
1487
+ },
1488
+ {
1489
+ "epoch": 0.48684817720350715,
1490
+ "grad_norm": 1.7732915883551568,
1491
+ "learning_rate": 1.2189293071848051e-05,
1492
+ "loss": 1.0395,
1493
+ "step": 1055
1494
+ },
1495
+ {
1496
+ "epoch": 0.4891555145362252,
1497
+ "grad_norm": 1.7668917225682153,
1498
+ "learning_rate": 1.2110623407555398e-05,
1499
+ "loss": 1.0055,
1500
+ "step": 1060
1501
+ },
1502
+ {
1503
+ "epoch": 0.49146285186894323,
1504
+ "grad_norm": 1.770548333794891,
1505
+ "learning_rate": 1.2031816787934465e-05,
1506
+ "loss": 1.0198,
1507
+ "step": 1065
1508
+ },
1509
+ {
1510
+ "epoch": 0.49377018920166127,
1511
+ "grad_norm": 1.804504292487286,
1512
+ "learning_rate": 1.1952878326633872e-05,
1513
+ "loss": 0.9925,
1514
+ "step": 1070
1515
+ },
1516
+ {
1517
+ "epoch": 0.4960775265343793,
1518
+ "grad_norm": 1.8384240011850799,
1519
+ "learning_rate": 1.187381314585725e-05,
1520
+ "loss": 1.0167,
1521
+ "step": 1075
1522
+ },
1523
+ {
1524
+ "epoch": 0.49838486386709735,
1525
+ "grad_norm": 1.8738489698458378,
1526
+ "learning_rate": 1.1794626376030866e-05,
1527
+ "loss": 1.0266,
1528
+ "step": 1080
1529
+ },
1530
+ {
1531
+ "epoch": 0.5006922011998154,
1532
+ "grad_norm": 1.7963716989600227,
1533
+ "learning_rate": 1.1715323155470745e-05,
1534
+ "loss": 1.0203,
1535
+ "step": 1085
1536
+ },
1537
+ {
1538
+ "epoch": 0.5029995385325334,
1539
+ "grad_norm": 1.7950924324700734,
1540
+ "learning_rate": 1.163590863004922e-05,
1541
+ "loss": 1.0014,
1542
+ "step": 1090
1543
+ },
1544
+ {
1545
+ "epoch": 0.5053068758652515,
1546
+ "grad_norm": 1.7996992785566162,
1547
+ "learning_rate": 1.1556387952861036e-05,
1548
+ "loss": 1.0147,
1549
+ "step": 1095
1550
+ },
1551
+ {
1552
+ "epoch": 0.5076142131979695,
1553
+ "grad_norm": 1.9262189643769105,
1554
+ "learning_rate": 1.1476766283888986e-05,
1555
+ "loss": 1.0176,
1556
+ "step": 1100
1557
+ },
1558
+ {
1559
+ "epoch": 0.5099215505306876,
1560
+ "grad_norm": 1.738673259571015,
1561
+ "learning_rate": 1.1397048789669061e-05,
1562
+ "loss": 1.0221,
1563
+ "step": 1105
1564
+ },
1565
+ {
1566
+ "epoch": 0.5122288878634056,
1567
+ "grad_norm": 1.7993896869653003,
1568
+ "learning_rate": 1.1317240642955226e-05,
1569
+ "loss": 1.0232,
1570
+ "step": 1110
1571
+ },
1572
+ {
1573
+ "epoch": 0.5145362251961236,
1574
+ "grad_norm": 1.8492729168966688,
1575
+ "learning_rate": 1.1237347022383747e-05,
1576
+ "loss": 1.0138,
1577
+ "step": 1115
1578
+ },
1579
+ {
1580
+ "epoch": 0.5168435625288417,
1581
+ "grad_norm": 1.792127722956897,
1582
+ "learning_rate": 1.1157373112137171e-05,
1583
+ "loss": 1.011,
1584
+ "step": 1120
1585
+ },
1586
+ {
1587
+ "epoch": 0.5191508998615597,
1588
+ "grad_norm": 1.767761412954839,
1589
+ "learning_rate": 1.107732410160793e-05,
1590
+ "loss": 0.9917,
1591
+ "step": 1125
1592
+ },
1593
+ {
1594
+ "epoch": 0.5214582371942778,
1595
+ "grad_norm": 1.78861016845621,
1596
+ "learning_rate": 1.0997205185061599e-05,
1597
+ "loss": 1.024,
1598
+ "step": 1130
1599
+ },
1600
+ {
1601
+ "epoch": 0.5237655745269958,
1602
+ "grad_norm": 1.796111964851059,
1603
+ "learning_rate": 1.0917021561299864e-05,
1604
+ "loss": 1.0094,
1605
+ "step": 1135
1606
+ },
1607
+ {
1608
+ "epoch": 0.5260729118597139,
1609
+ "grad_norm": 1.6839699201837544,
1610
+ "learning_rate": 1.083677843332316e-05,
1611
+ "loss": 1.0019,
1612
+ "step": 1140
1613
+ },
1614
+ {
1615
+ "epoch": 0.528380249192432,
1616
+ "grad_norm": 1.735381208836221,
1617
+ "learning_rate": 1.0756481007993063e-05,
1618
+ "loss": 0.9979,
1619
+ "step": 1145
1620
+ },
1621
+ {
1622
+ "epoch": 0.53068758652515,
1623
+ "grad_norm": 1.7283238773850635,
1624
+ "learning_rate": 1.0676134495694439e-05,
1625
+ "loss": 1.0127,
1626
+ "step": 1150
1627
+ },
1628
+ {
1629
+ "epoch": 0.5329949238578681,
1630
+ "grad_norm": 1.8700927823490678,
1631
+ "learning_rate": 1.0595744109997326e-05,
1632
+ "loss": 0.9897,
1633
+ "step": 1155
1634
+ },
1635
+ {
1636
+ "epoch": 0.5353022611905861,
1637
+ "grad_norm": 1.7850898978429104,
1638
+ "learning_rate": 1.0515315067318652e-05,
1639
+ "loss": 1.0155,
1640
+ "step": 1160
1641
+ },
1642
+ {
1643
+ "epoch": 0.5376095985233041,
1644
+ "grad_norm": 1.8867979217718087,
1645
+ "learning_rate": 1.0434852586583737e-05,
1646
+ "loss": 0.9996,
1647
+ "step": 1165
1648
+ },
1649
+ {
1650
+ "epoch": 0.5399169358560222,
1651
+ "grad_norm": 1.8409069763382047,
1652
+ "learning_rate": 1.0354361888887642e-05,
1653
+ "loss": 1.0038,
1654
+ "step": 1170
1655
+ },
1656
+ {
1657
+ "epoch": 0.5422242731887402,
1658
+ "grad_norm": 1.9318197730416369,
1659
+ "learning_rate": 1.0273848197156401e-05,
1660
+ "loss": 0.9893,
1661
+ "step": 1175
1662
+ },
1663
+ {
1664
+ "epoch": 0.5445316105214583,
1665
+ "grad_norm": 1.7534602196952722,
1666
+ "learning_rate": 1.0193316735808085e-05,
1667
+ "loss": 0.993,
1668
+ "step": 1180
1669
+ },
1670
+ {
1671
+ "epoch": 0.5468389478541763,
1672
+ "grad_norm": 1.7436059512387687,
1673
+ "learning_rate": 1.0112772730413816e-05,
1674
+ "loss": 1.0079,
1675
+ "step": 1185
1676
+ },
1677
+ {
1678
+ "epoch": 0.5491462851868943,
1679
+ "grad_norm": 1.8076118426423142,
1680
+ "learning_rate": 1.0032221407358683e-05,
1681
+ "loss": 1.0336,
1682
+ "step": 1190
1683
+ },
1684
+ {
1685
+ "epoch": 0.5514536225196124,
1686
+ "grad_norm": 1.9044420451434694,
1687
+ "learning_rate": 9.951667993502599e-06,
1688
+ "loss": 1.0152,
1689
+ "step": 1195
1690
+ },
1691
+ {
1692
+ "epoch": 0.5537609598523304,
1693
+ "grad_norm": 1.842329102136153,
1694
+ "learning_rate": 9.871117715841151e-06,
1695
+ "loss": 0.9783,
1696
+ "step": 1200
1697
+ },
1698
+ {
1699
+ "epoch": 0.5560682971850485,
1700
+ "grad_norm": 1.8583622986365993,
1701
+ "learning_rate": 9.790575801166432e-06,
1702
+ "loss": 1.0054,
1703
+ "step": 1205
1704
+ },
1705
+ {
1706
+ "epoch": 0.5583756345177665,
1707
+ "grad_norm": 1.7004919095912332,
1708
+ "learning_rate": 9.710047475727854e-06,
1709
+ "loss": 1.0011,
1710
+ "step": 1210
1711
+ },
1712
+ {
1713
+ "epoch": 0.5606829718504845,
1714
+ "grad_norm": 1.7280460978374188,
1715
+ "learning_rate": 9.629537964893063e-06,
1716
+ "loss": 1.0299,
1717
+ "step": 1215
1718
+ },
1719
+ {
1720
+ "epoch": 0.5629903091832026,
1721
+ "grad_norm": 1.7174011953937558,
1722
+ "learning_rate": 9.549052492808834e-06,
1723
+ "loss": 0.9946,
1724
+ "step": 1220
1725
+ },
1726
+ {
1727
+ "epoch": 0.5652976465159206,
1728
+ "grad_norm": 1.8215498597720168,
1729
+ "learning_rate": 9.468596282062114e-06,
1730
+ "loss": 1.0113,
1731
+ "step": 1225
1732
+ },
1733
+ {
1734
+ "epoch": 0.5676049838486387,
1735
+ "grad_norm": 1.6911500192296895,
1736
+ "learning_rate": 9.38817455334112e-06,
1737
+ "loss": 0.9855,
1738
+ "step": 1230
1739
+ },
1740
+ {
1741
+ "epoch": 0.5699123211813567,
1742
+ "grad_norm": 1.8405046704539174,
1743
+ "learning_rate": 9.307792525096582e-06,
1744
+ "loss": 1.0113,
1745
+ "step": 1235
1746
+ },
1747
+ {
1748
+ "epoch": 0.5722196585140747,
1749
+ "grad_norm": 1.838204327540361,
1750
+ "learning_rate": 9.227455413203115e-06,
1751
+ "loss": 0.9947,
1752
+ "step": 1240
1753
+ },
1754
+ {
1755
+ "epoch": 0.5745269958467928,
1756
+ "grad_norm": 1.656688699609939,
1757
+ "learning_rate": 9.147168430620788e-06,
1758
+ "loss": 0.9892,
1759
+ "step": 1245
1760
+ },
1761
+ {
1762
+ "epoch": 0.5768343331795108,
1763
+ "grad_norm": 1.7231036061816765,
1764
+ "learning_rate": 9.066936787056843e-06,
1765
+ "loss": 0.9944,
1766
+ "step": 1250
1767
+ },
1768
+ {
1769
+ "epoch": 0.5791416705122289,
1770
+ "grad_norm": 1.645605940940624,
1771
+ "learning_rate": 8.986765688627652e-06,
1772
+ "loss": 0.9936,
1773
+ "step": 1255
1774
+ },
1775
+ {
1776
+ "epoch": 0.5814490078449469,
1777
+ "grad_norm": 1.8141527360329759,
1778
+ "learning_rate": 8.906660337520903e-06,
1779
+ "loss": 1.0096,
1780
+ "step": 1260
1781
+ },
1782
+ {
1783
+ "epoch": 0.583756345177665,
1784
+ "grad_norm": 1.856808726362016,
1785
+ "learning_rate": 8.82662593165804e-06,
1786
+ "loss": 1.0032,
1787
+ "step": 1265
1788
+ },
1789
+ {
1790
+ "epoch": 0.586063682510383,
1791
+ "grad_norm": 1.8593818092553211,
1792
+ "learning_rate": 8.746667664356957e-06,
1793
+ "loss": 1.0177,
1794
+ "step": 1270
1795
+ },
1796
+ {
1797
+ "epoch": 0.588371019843101,
1798
+ "grad_norm": 1.7318701186944272,
1799
+ "learning_rate": 8.666790723995043e-06,
1800
+ "loss": 0.9933,
1801
+ "step": 1275
1802
+ },
1803
+ {
1804
+ "epoch": 0.5906783571758191,
1805
+ "grad_norm": 1.8632249625406112,
1806
+ "learning_rate": 8.587000293672482e-06,
1807
+ "loss": 1.0278,
1808
+ "step": 1280
1809
+ },
1810
+ {
1811
+ "epoch": 0.5929856945085371,
1812
+ "grad_norm": 1.8482080793994375,
1813
+ "learning_rate": 8.50730155087596e-06,
1814
+ "loss": 0.9753,
1815
+ "step": 1285
1816
+ },
1817
+ {
1818
+ "epoch": 0.5952930318412551,
1819
+ "grad_norm": 1.6654816438940703,
1820
+ "learning_rate": 8.427699667142681e-06,
1821
+ "loss": 0.9923,
1822
+ "step": 1290
1823
+ },
1824
+ {
1825
+ "epoch": 0.5976003691739732,
1826
+ "grad_norm": 1.816789112483473,
1827
+ "learning_rate": 8.348199807724806e-06,
1828
+ "loss": 0.9951,
1829
+ "step": 1295
1830
+ },
1831
+ {
1832
+ "epoch": 0.5999077065066912,
1833
+ "grad_norm": 1.8671938825009406,
1834
+ "learning_rate": 8.268807131254288e-06,
1835
+ "loss": 1.0063,
1836
+ "step": 1300
1837
+ },
1838
+ {
1839
+ "epoch": 0.6022150438394093,
1840
+ "grad_norm": 1.736173419625791,
1841
+ "learning_rate": 8.189526789408123e-06,
1842
+ "loss": 0.9942,
1843
+ "step": 1305
1844
+ },
1845
+ {
1846
+ "epoch": 0.6045223811721273,
1847
+ "grad_norm": 1.7397594354717327,
1848
+ "learning_rate": 8.110363926574088e-06,
1849
+ "loss": 0.9899,
1850
+ "step": 1310
1851
+ },
1852
+ {
1853
+ "epoch": 0.6068297185048455,
1854
+ "grad_norm": 1.7112354026341845,
1855
+ "learning_rate": 8.0313236795169e-06,
1856
+ "loss": 0.9981,
1857
+ "step": 1315
1858
+ },
1859
+ {
1860
+ "epoch": 0.6091370558375635,
1861
+ "grad_norm": 1.7633777819452738,
1862
+ "learning_rate": 7.952411177044923e-06,
1863
+ "loss": 0.9667,
1864
+ "step": 1320
1865
+ },
1866
+ {
1867
+ "epoch": 0.6114443931702815,
1868
+ "grad_norm": 1.7477692209080626,
1869
+ "learning_rate": 7.873631539677364e-06,
1870
+ "loss": 0.9979,
1871
+ "step": 1325
1872
+ },
1873
+ {
1874
+ "epoch": 0.6137517305029996,
1875
+ "grad_norm": 1.7532055508610305,
1876
+ "learning_rate": 7.794989879311991e-06,
1877
+ "loss": 0.9869,
1878
+ "step": 1330
1879
+ },
1880
+ {
1881
+ "epoch": 0.6160590678357176,
1882
+ "grad_norm": 1.8525858143415055,
1883
+ "learning_rate": 7.716491298893443e-06,
1884
+ "loss": 0.9834,
1885
+ "step": 1335
1886
+ },
1887
+ {
1888
+ "epoch": 0.6183664051684357,
1889
+ "grad_norm": 1.749585519245075,
1890
+ "learning_rate": 7.638140892082118e-06,
1891
+ "loss": 1.0092,
1892
+ "step": 1340
1893
+ },
1894
+ {
1895
+ "epoch": 0.6206737425011537,
1896
+ "grad_norm": 1.8420135288729067,
1897
+ "learning_rate": 7.559943742923626e-06,
1898
+ "loss": 0.9797,
1899
+ "step": 1345
1900
+ },
1901
+ {
1902
+ "epoch": 0.6229810798338717,
1903
+ "grad_norm": 1.7361527256574634,
1904
+ "learning_rate": 7.4819049255189215e-06,
1905
+ "loss": 1.0084,
1906
+ "step": 1350
1907
+ },
1908
+ {
1909
+ "epoch": 0.6252884171665898,
1910
+ "grad_norm": 1.8341519418326866,
1911
+ "learning_rate": 7.404029503695028e-06,
1912
+ "loss": 0.978,
1913
+ "step": 1355
1914
+ },
1915
+ {
1916
+ "epoch": 0.6275957544993078,
1917
+ "grad_norm": 1.8293945335237427,
1918
+ "learning_rate": 7.326322530676471e-06,
1919
+ "loss": 0.9949,
1920
+ "step": 1360
1921
+ },
1922
+ {
1923
+ "epoch": 0.6299030918320259,
1924
+ "grad_norm": 1.8042095660293147,
1925
+ "learning_rate": 7.248789048757368e-06,
1926
+ "loss": 0.9708,
1927
+ "step": 1365
1928
+ },
1929
+ {
1930
+ "epoch": 0.6322104291647439,
1931
+ "grad_norm": 1.845467719423503,
1932
+ "learning_rate": 7.171434088974252e-06,
1933
+ "loss": 0.9965,
1934
+ "step": 1370
1935
+ },
1936
+ {
1937
+ "epoch": 0.6345177664974619,
1938
+ "grad_norm": 1.6543843384272663,
1939
+ "learning_rate": 7.094262670779611e-06,
1940
+ "loss": 0.9745,
1941
+ "step": 1375
1942
+ },
1943
+ {
1944
+ "epoch": 0.63682510383018,
1945
+ "grad_norm": 1.78812671106571,
1946
+ "learning_rate": 7.017279801716177e-06,
1947
+ "loss": 0.9913,
1948
+ "step": 1380
1949
+ },
1950
+ {
1951
+ "epoch": 0.639132441162898,
1952
+ "grad_norm": 1.6947334759904245,
1953
+ "learning_rate": 6.940490477092004e-06,
1954
+ "loss": 0.9852,
1955
+ "step": 1385
1956
+ },
1957
+ {
1958
+ "epoch": 0.6414397784956161,
1959
+ "grad_norm": 1.8535301270043634,
1960
+ "learning_rate": 6.8638996796563275e-06,
1961
+ "loss": 1.007,
1962
+ "step": 1390
1963
+ },
1964
+ {
1965
+ "epoch": 0.6437471158283341,
1966
+ "grad_norm": 1.7676355127694694,
1967
+ "learning_rate": 6.78751237927623e-06,
1968
+ "loss": 0.9514,
1969
+ "step": 1395
1970
+ },
1971
+ {
1972
+ "epoch": 0.6460544531610521,
1973
+ "grad_norm": 1.6769380120076558,
1974
+ "learning_rate": 6.711333532614168e-06,
1975
+ "loss": 0.9698,
1976
+ "step": 1400
1977
+ },
1978
+ {
1979
+ "epoch": 0.6483617904937702,
1980
+ "grad_norm": 1.7272039849376555,
1981
+ "learning_rate": 6.6353680828063306e-06,
1982
+ "loss": 0.948,
1983
+ "step": 1405
1984
+ },
1985
+ {
1986
+ "epoch": 0.6506691278264882,
1987
+ "grad_norm": 1.7909691104530978,
1988
+ "learning_rate": 6.559620959141897e-06,
1989
+ "loss": 0.9741,
1990
+ "step": 1410
1991
+ },
1992
+ {
1993
+ "epoch": 0.6529764651592063,
1994
+ "grad_norm": 1.7584119603336634,
1995
+ "learning_rate": 6.48409707674317e-06,
1996
+ "loss": 0.9825,
1997
+ "step": 1415
1998
+ },
1999
+ {
2000
+ "epoch": 0.6552838024919243,
2001
+ "grad_norm": 1.704146715339984,
2002
+ "learning_rate": 6.408801336246645e-06,
2003
+ "loss": 0.9473,
2004
+ "step": 1420
2005
+ },
2006
+ {
2007
+ "epoch": 0.6575911398246423,
2008
+ "grad_norm": 1.675928516675119,
2009
+ "learning_rate": 6.3337386234850255e-06,
2010
+ "loss": 0.9726,
2011
+ "step": 1425
2012
+ },
2013
+ {
2014
+ "epoch": 0.6598984771573604,
2015
+ "grad_norm": 1.8640939079623915,
2016
+ "learning_rate": 6.258913809170169e-06,
2017
+ "loss": 0.9899,
2018
+ "step": 1430
2019
+ },
2020
+ {
2021
+ "epoch": 0.6622058144900784,
2022
+ "grad_norm": 1.7077639495220778,
2023
+ "learning_rate": 6.18433174857705e-06,
2024
+ "loss": 0.9856,
2025
+ "step": 1435
2026
+ },
2027
+ {
2028
+ "epoch": 0.6645131518227965,
2029
+ "grad_norm": 1.7756594990657744,
2030
+ "learning_rate": 6.1099972812287e-06,
2031
+ "loss": 0.9766,
2032
+ "step": 1440
2033
+ },
2034
+ {
2035
+ "epoch": 0.6668204891555145,
2036
+ "grad_norm": 1.9246917842171538,
2037
+ "learning_rate": 6.035915230582176e-06,
2038
+ "loss": 0.9802,
2039
+ "step": 1445
2040
+ },
2041
+ {
2042
+ "epoch": 0.6691278264882325,
2043
+ "grad_norm": 1.7061051671690723,
2044
+ "learning_rate": 5.962090403715592e-06,
2045
+ "loss": 0.9589,
2046
+ "step": 1450
2047
+ },
2048
+ {
2049
+ "epoch": 0.6714351638209506,
2050
+ "grad_norm": 1.9209301423646885,
2051
+ "learning_rate": 5.8885275910161574e-06,
2052
+ "loss": 0.9661,
2053
+ "step": 1455
2054
+ },
2055
+ {
2056
+ "epoch": 0.6737425011536686,
2057
+ "grad_norm": 1.7522165825796936,
2058
+ "learning_rate": 5.815231565869377e-06,
2059
+ "loss": 0.9683,
2060
+ "step": 1460
2061
+ },
2062
+ {
2063
+ "epoch": 0.6760498384863867,
2064
+ "grad_norm": 1.7093168808099815,
2065
+ "learning_rate": 5.742207084349274e-06,
2066
+ "loss": 0.9787,
2067
+ "step": 1465
2068
+ },
2069
+ {
2070
+ "epoch": 0.6783571758191047,
2071
+ "grad_norm": 1.7331687059615726,
2072
+ "learning_rate": 5.669458884909815e-06,
2073
+ "loss": 0.962,
2074
+ "step": 1470
2075
+ },
2076
+ {
2077
+ "epoch": 0.6806645131518227,
2078
+ "grad_norm": 1.7125984142423774,
2079
+ "learning_rate": 5.596991688077409e-06,
2080
+ "loss": 0.9749,
2081
+ "step": 1475
2082
+ },
2083
+ {
2084
+ "epoch": 0.6829718504845408,
2085
+ "grad_norm": 1.7116106483633,
2086
+ "learning_rate": 5.5248101961446065e-06,
2087
+ "loss": 0.9646,
2088
+ "step": 1480
2089
+ },
2090
+ {
2091
+ "epoch": 0.6852791878172588,
2092
+ "grad_norm": 1.7871177917200074,
2093
+ "learning_rate": 5.452919092864976e-06,
2094
+ "loss": 0.9869,
2095
+ "step": 1485
2096
+ },
2097
+ {
2098
+ "epoch": 0.687586525149977,
2099
+ "grad_norm": 1.7422263712914812,
2100
+ "learning_rate": 5.381323043149192e-06,
2101
+ "loss": 0.9598,
2102
+ "step": 1490
2103
+ },
2104
+ {
2105
+ "epoch": 0.689893862482695,
2106
+ "grad_norm": 1.827833481936086,
2107
+ "learning_rate": 5.310026692762316e-06,
2108
+ "loss": 0.9674,
2109
+ "step": 1495
2110
+ },
2111
+ {
2112
+ "epoch": 0.6922011998154131,
2113
+ "grad_norm": 1.8013595644003924,
2114
+ "learning_rate": 5.239034668022353e-06,
2115
+ "loss": 0.9573,
2116
+ "step": 1500
2117
+ },
2118
+ {
2119
+ "epoch": 0.6945085371481311,
2120
+ "grad_norm": 1.8007495209856474,
2121
+ "learning_rate": 5.168351575500049e-06,
2122
+ "loss": 0.9719,
2123
+ "step": 1505
2124
+ },
2125
+ {
2126
+ "epoch": 0.6968158744808491,
2127
+ "grad_norm": 1.7404494760342795,
2128
+ "learning_rate": 5.097982001719994e-06,
2129
+ "loss": 0.9724,
2130
+ "step": 1510
2131
+ },
2132
+ {
2133
+ "epoch": 0.6991232118135672,
2134
+ "grad_norm": 1.8207400554800481,
2135
+ "learning_rate": 5.027930512862976e-06,
2136
+ "loss": 0.9643,
2137
+ "step": 1515
2138
+ },
2139
+ {
2140
+ "epoch": 0.7014305491462852,
2141
+ "grad_norm": 1.6503774911907483,
2142
+ "learning_rate": 4.958201654469731e-06,
2143
+ "loss": 0.9718,
2144
+ "step": 1520
2145
+ },
2146
+ {
2147
+ "epoch": 0.7037378864790033,
2148
+ "grad_norm": 1.7042499652030019,
2149
+ "learning_rate": 4.888799951145948e-06,
2150
+ "loss": 0.9786,
2151
+ "step": 1525
2152
+ },
2153
+ {
2154
+ "epoch": 0.7060452238117213,
2155
+ "grad_norm": 1.691429781718496,
2156
+ "learning_rate": 4.8197299062687e-06,
2157
+ "loss": 0.9584,
2158
+ "step": 1530
2159
+ },
2160
+ {
2161
+ "epoch": 0.7083525611444393,
2162
+ "grad_norm": 1.789471718965235,
2163
+ "learning_rate": 4.750996001694215e-06,
2164
+ "loss": 0.978,
2165
+ "step": 1535
2166
+ },
2167
+ {
2168
+ "epoch": 0.7106598984771574,
2169
+ "grad_norm": 1.762516310353455,
2170
+ "learning_rate": 4.6826026974670665e-06,
2171
+ "loss": 0.9536,
2172
+ "step": 1540
2173
+ },
2174
+ {
2175
+ "epoch": 0.7129672358098754,
2176
+ "grad_norm": 1.6808685507807348,
2177
+ "learning_rate": 4.614554431530754e-06,
2178
+ "loss": 0.9453,
2179
+ "step": 1545
2180
+ },
2181
+ {
2182
+ "epoch": 0.7152745731425935,
2183
+ "grad_norm": 1.695661878440997,
2184
+ "learning_rate": 4.546855619439734e-06,
2185
+ "loss": 0.9674,
2186
+ "step": 1550
2187
+ },
2188
+ {
2189
+ "epoch": 0.7175819104753115,
2190
+ "grad_norm": 1.780885617378124,
2191
+ "learning_rate": 4.479510654072909e-06,
2192
+ "loss": 0.9724,
2193
+ "step": 1555
2194
+ },
2195
+ {
2196
+ "epoch": 0.7198892478080295,
2197
+ "grad_norm": 1.7441807694903777,
2198
+ "learning_rate": 4.412523905348568e-06,
2199
+ "loss": 0.9422,
2200
+ "step": 1560
2201
+ },
2202
+ {
2203
+ "epoch": 0.7221965851407476,
2204
+ "grad_norm": 1.7666139001524914,
2205
+ "learning_rate": 4.345899719940844e-06,
2206
+ "loss": 0.9496,
2207
+ "step": 1565
2208
+ },
2209
+ {
2210
+ "epoch": 0.7245039224734656,
2211
+ "grad_norm": 1.6463010573052135,
2212
+ "learning_rate": 4.279642420997655e-06,
2213
+ "loss": 0.9635,
2214
+ "step": 1570
2215
+ },
2216
+ {
2217
+ "epoch": 0.7268112598061837,
2218
+ "grad_norm": 1.7790169033851828,
2219
+ "learning_rate": 4.213756307860175e-06,
2220
+ "loss": 0.9795,
2221
+ "step": 1575
2222
+ },
2223
+ {
2224
+ "epoch": 0.7291185971389017,
2225
+ "grad_norm": 1.709252193673288,
2226
+ "learning_rate": 4.148245655783869e-06,
2227
+ "loss": 0.9542,
2228
+ "step": 1580
2229
+ },
2230
+ {
2231
+ "epoch": 0.7314259344716197,
2232
+ "grad_norm": 1.7064646780964507,
2233
+ "learning_rate": 4.083114715661069e-06,
2234
+ "loss": 0.9494,
2235
+ "step": 1585
2236
+ },
2237
+ {
2238
+ "epoch": 0.7337332718043378,
2239
+ "grad_norm": 1.7203471522785316,
2240
+ "learning_rate": 4.018367713745137e-06,
2241
+ "loss": 0.9513,
2242
+ "step": 1590
2243
+ },
2244
+ {
2245
+ "epoch": 0.7360406091370558,
2246
+ "grad_norm": 1.7329896835019194,
2247
+ "learning_rate": 3.954008851376252e-06,
2248
+ "loss": 0.9464,
2249
+ "step": 1595
2250
+ },
2251
+ {
2252
+ "epoch": 0.7383479464697739,
2253
+ "grad_norm": 1.6668720129339225,
2254
+ "learning_rate": 3.890042304708758e-06,
2255
+ "loss": 0.9349,
2256
+ "step": 1600
2257
+ },
2258
+ {
2259
+ "epoch": 0.7406552838024919,
2260
+ "grad_norm": 1.6612958616670062,
2261
+ "learning_rate": 3.826472224440202e-06,
2262
+ "loss": 0.9753,
2263
+ "step": 1605
2264
+ },
2265
+ {
2266
+ "epoch": 0.7429626211352099,
2267
+ "grad_norm": 1.689937062434287,
2268
+ "learning_rate": 3.763302735541987e-06,
2269
+ "loss": 0.9755,
2270
+ "step": 1610
2271
+ },
2272
+ {
2273
+ "epoch": 0.745269958467928,
2274
+ "grad_norm": 1.8524303075498816,
2275
+ "learning_rate": 3.700537936991733e-06,
2276
+ "loss": 0.9919,
2277
+ "step": 1615
2278
+ },
2279
+ {
2280
+ "epoch": 0.747577295800646,
2281
+ "grad_norm": 1.7330330880413027,
2282
+ "learning_rate": 3.6381819015072652e-06,
2283
+ "loss": 0.9968,
2284
+ "step": 1620
2285
+ },
2286
+ {
2287
+ "epoch": 0.7498846331333641,
2288
+ "grad_norm": 1.732375990079818,
2289
+ "learning_rate": 3.5762386752823643e-06,
2290
+ "loss": 0.9598,
2291
+ "step": 1625
2292
+ },
2293
+ {
2294
+ "epoch": 0.7521919704660821,
2295
+ "grad_norm": 1.6723382538398348,
2296
+ "learning_rate": 3.5147122777242203e-06,
2297
+ "loss": 0.9826,
2298
+ "step": 1630
2299
+ },
2300
+ {
2301
+ "epoch": 0.7544993077988001,
2302
+ "grad_norm": 1.698445076932435,
2303
+ "learning_rate": 3.4536067011925945e-06,
2304
+ "loss": 0.975,
2305
+ "step": 1635
2306
+ },
2307
+ {
2308
+ "epoch": 0.7568066451315182,
2309
+ "grad_norm": 1.6756544799204833,
2310
+ "learning_rate": 3.3929259107407785e-06,
2311
+ "loss": 0.9596,
2312
+ "step": 1640
2313
+ },
2314
+ {
2315
+ "epoch": 0.7591139824642362,
2316
+ "grad_norm": 1.7323687941815844,
2317
+ "learning_rate": 3.3326738438583116e-06,
2318
+ "loss": 0.9471,
2319
+ "step": 1645
2320
+ },
2321
+ {
2322
+ "epoch": 0.7614213197969543,
2323
+ "grad_norm": 1.6841658818773522,
2324
+ "learning_rate": 3.272854410215467e-06,
2325
+ "loss": 0.9478,
2326
+ "step": 1650
2327
+ },
2328
+ {
2329
+ "epoch": 0.7637286571296723,
2330
+ "grad_norm": 1.7258401397718819,
2331
+ "learning_rate": 3.213471491409568e-06,
2332
+ "loss": 0.9545,
2333
+ "step": 1655
2334
+ },
2335
+ {
2336
+ "epoch": 0.7660359944623903,
2337
+ "grad_norm": 1.754250495342998,
2338
+ "learning_rate": 3.1545289407131128e-06,
2339
+ "loss": 0.9557,
2340
+ "step": 1660
2341
+ },
2342
+ {
2343
+ "epoch": 0.7683433317951085,
2344
+ "grad_norm": 1.7109892895946872,
2345
+ "learning_rate": 3.0960305828237568e-06,
2346
+ "loss": 0.9649,
2347
+ "step": 1665
2348
+ },
2349
+ {
2350
+ "epoch": 0.7706506691278265,
2351
+ "grad_norm": 1.8321981237158624,
2352
+ "learning_rate": 3.0379802136161073e-06,
2353
+ "loss": 0.9612,
2354
+ "step": 1670
2355
+ },
2356
+ {
2357
+ "epoch": 0.7729580064605446,
2358
+ "grad_norm": 1.6838996787097582,
2359
+ "learning_rate": 2.9803815998954334e-06,
2360
+ "loss": 0.9701,
2361
+ "step": 1675
2362
+ },
2363
+ {
2364
+ "epoch": 0.7752653437932626,
2365
+ "grad_norm": 1.7069776476837635,
2366
+ "learning_rate": 2.9232384791532377e-06,
2367
+ "loss": 0.9724,
2368
+ "step": 1680
2369
+ },
2370
+ {
2371
+ "epoch": 0.7775726811259807,
2372
+ "grad_norm": 1.6302606016182208,
2373
+ "learning_rate": 2.866554559324731e-06,
2374
+ "loss": 0.9441,
2375
+ "step": 1685
2376
+ },
2377
+ {
2378
+ "epoch": 0.7798800184586987,
2379
+ "grad_norm": 1.6451304542174006,
2380
+ "learning_rate": 2.810333518548246e-06,
2381
+ "loss": 0.9337,
2382
+ "step": 1690
2383
+ },
2384
+ {
2385
+ "epoch": 0.7821873557914167,
2386
+ "grad_norm": 1.763422741436097,
2387
+ "learning_rate": 2.7545790049265506e-06,
2388
+ "loss": 0.9542,
2389
+ "step": 1695
2390
+ },
2391
+ {
2392
+ "epoch": 0.7844946931241348,
2393
+ "grad_norm": 1.6780739225283752,
2394
+ "learning_rate": 2.699294636290134e-06,
2395
+ "loss": 0.9468,
2396
+ "step": 1700
2397
+ },
2398
+ {
2399
+ "epoch": 0.7868020304568528,
2400
+ "grad_norm": 1.7170452157015115,
2401
+ "learning_rate": 2.6444839999624496e-06,
2402
+ "loss": 0.9333,
2403
+ "step": 1705
2404
+ },
2405
+ {
2406
+ "epoch": 0.7891093677895709,
2407
+ "grad_norm": 1.6339639009427172,
2408
+ "learning_rate": 2.5901506525271424e-06,
2409
+ "loss": 0.9656,
2410
+ "step": 1710
2411
+ },
2412
+ {
2413
+ "epoch": 0.7914167051222889,
2414
+ "grad_norm": 1.7076055984466658,
2415
+ "learning_rate": 2.5362981195972627e-06,
2416
+ "loss": 0.9292,
2417
+ "step": 1715
2418
+ },
2419
+ {
2420
+ "epoch": 0.7937240424550069,
2421
+ "grad_norm": 1.694775381636099,
2422
+ "learning_rate": 2.4829298955865022e-06,
2423
+ "loss": 0.9621,
2424
+ "step": 1720
2425
+ },
2426
+ {
2427
+ "epoch": 0.796031379787725,
2428
+ "grad_norm": 1.6448376757312444,
2429
+ "learning_rate": 2.4300494434824373e-06,
2430
+ "loss": 0.9323,
2431
+ "step": 1725
2432
+ },
2433
+ {
2434
+ "epoch": 0.798338717120443,
2435
+ "grad_norm": 1.7190721711044321,
2436
+ "learning_rate": 2.3776601946218225e-06,
2437
+ "loss": 0.9536,
2438
+ "step": 1730
2439
+ },
2440
+ {
2441
+ "epoch": 0.8006460544531611,
2442
+ "grad_norm": 1.7369056682520372,
2443
+ "learning_rate": 2.3257655484679376e-06,
2444
+ "loss": 0.9474,
2445
+ "step": 1735
2446
+ },
2447
+ {
2448
+ "epoch": 0.8029533917858791,
2449
+ "grad_norm": 1.9277048905233987,
2450
+ "learning_rate": 2.274368872390009e-06,
2451
+ "loss": 0.953,
2452
+ "step": 1740
2453
+ },
2454
+ {
2455
+ "epoch": 0.8052607291185971,
2456
+ "grad_norm": 1.6988058479966548,
2457
+ "learning_rate": 2.2234735014446905e-06,
2458
+ "loss": 0.9546,
2459
+ "step": 1745
2460
+ },
2461
+ {
2462
+ "epoch": 0.8075680664513152,
2463
+ "grad_norm": 1.708926311661711,
2464
+ "learning_rate": 2.1730827381596643e-06,
2465
+ "loss": 0.9442,
2466
+ "step": 1750
2467
+ },
2468
+ {
2469
+ "epoch": 0.8098754037840332,
2470
+ "grad_norm": 1.7384137551353784,
2471
+ "learning_rate": 2.123199852319352e-06,
2472
+ "loss": 0.9415,
2473
+ "step": 1755
2474
+ },
2475
+ {
2476
+ "epoch": 0.8121827411167513,
2477
+ "grad_norm": 1.706865871432203,
2478
+ "learning_rate": 2.073828080752728e-06,
2479
+ "loss": 0.9514,
2480
+ "step": 1760
2481
+ },
2482
+ {
2483
+ "epoch": 0.8144900784494693,
2484
+ "grad_norm": 1.631591345911517,
2485
+ "learning_rate": 2.024970627123295e-06,
2486
+ "loss": 0.9593,
2487
+ "step": 1765
2488
+ },
2489
+ {
2490
+ "epoch": 0.8167974157821873,
2491
+ "grad_norm": 1.7250014472303201,
2492
+ "learning_rate": 1.976630661721207e-06,
2493
+ "loss": 0.9312,
2494
+ "step": 1770
2495
+ },
2496
+ {
2497
+ "epoch": 0.8191047531149054,
2498
+ "grad_norm": 1.7176929983275837,
2499
+ "learning_rate": 1.9288113212575454e-06,
2500
+ "loss": 0.9392,
2501
+ "step": 1775
2502
+ },
2503
+ {
2504
+ "epoch": 0.8214120904476234,
2505
+ "grad_norm": 1.7515517183747666,
2506
+ "learning_rate": 1.8815157086607826e-06,
2507
+ "loss": 0.9461,
2508
+ "step": 1780
2509
+ },
2510
+ {
2511
+ "epoch": 0.8237194277803415,
2512
+ "grad_norm": 1.7256573401014044,
2513
+ "learning_rate": 1.8347468928754408e-06,
2514
+ "loss": 0.9625,
2515
+ "step": 1785
2516
+ },
2517
+ {
2518
+ "epoch": 0.8260267651130595,
2519
+ "grad_norm": 1.6925351828448565,
2520
+ "learning_rate": 1.7885079086629598e-06,
2521
+ "loss": 0.9618,
2522
+ "step": 1790
2523
+ },
2524
+ {
2525
+ "epoch": 0.8283341024457775,
2526
+ "grad_norm": 1.6848423059711715,
2527
+ "learning_rate": 1.7428017564047594e-06,
2528
+ "loss": 0.957,
2529
+ "step": 1795
2530
+ },
2531
+ {
2532
+ "epoch": 0.8306414397784956,
2533
+ "grad_norm": 1.685378392680059,
2534
+ "learning_rate": 1.697631401907559e-06,
2535
+ "loss": 0.9405,
2536
+ "step": 1800
2537
+ },
2538
+ {
2539
+ "epoch": 0.8329487771112136,
2540
+ "grad_norm": 1.779147836504438,
2541
+ "learning_rate": 1.6529997762109319e-06,
2542
+ "loss": 0.9475,
2543
+ "step": 1805
2544
+ },
2545
+ {
2546
+ "epoch": 0.8352561144439317,
2547
+ "grad_norm": 1.6862245640499274,
2548
+ "learning_rate": 1.6089097753971061e-06,
2549
+ "loss": 0.9433,
2550
+ "step": 1810
2551
+ },
2552
+ {
2553
+ "epoch": 0.8375634517766497,
2554
+ "grad_norm": 1.6387699919494911,
2555
+ "learning_rate": 1.565364260403055e-06,
2556
+ "loss": 0.9393,
2557
+ "step": 1815
2558
+ },
2559
+ {
2560
+ "epoch": 0.8398707891093677,
2561
+ "grad_norm": 1.7088328181524817,
2562
+ "learning_rate": 1.522366056834844e-06,
2563
+ "loss": 0.9322,
2564
+ "step": 1820
2565
+ },
2566
+ {
2567
+ "epoch": 0.8421781264420858,
2568
+ "grad_norm": 1.717214554275275,
2569
+ "learning_rate": 1.4799179547842823e-06,
2570
+ "loss": 0.9393,
2571
+ "step": 1825
2572
+ },
2573
+ {
2574
+ "epoch": 0.8444854637748038,
2575
+ "grad_norm": 1.717143943169584,
2576
+ "learning_rate": 1.4380227086478816e-06,
2577
+ "loss": 0.96,
2578
+ "step": 1830
2579
+ },
2580
+ {
2581
+ "epoch": 0.846792801107522,
2582
+ "grad_norm": 1.7390583641873172,
2583
+ "learning_rate": 1.3966830369481231e-06,
2584
+ "loss": 0.9487,
2585
+ "step": 1835
2586
+ },
2587
+ {
2588
+ "epoch": 0.84910013844024,
2589
+ "grad_norm": 1.6483510037137357,
2590
+ "learning_rate": 1.3559016221570663e-06,
2591
+ "loss": 0.9315,
2592
+ "step": 1840
2593
+ },
2594
+ {
2595
+ "epoch": 0.8514074757729581,
2596
+ "grad_norm": 1.7716145374153562,
2597
+ "learning_rate": 1.3156811105222723e-06,
2598
+ "loss": 0.9375,
2599
+ "step": 1845
2600
+ },
2601
+ {
2602
+ "epoch": 0.8537148131056761,
2603
+ "grad_norm": 1.7136369284376767,
2604
+ "learning_rate": 1.276024111895101e-06,
2605
+ "loss": 0.9592,
2606
+ "step": 1850
2607
+ },
2608
+ {
2609
+ "epoch": 0.8560221504383941,
2610
+ "grad_norm": 1.659445261277345,
2611
+ "learning_rate": 1.2369331995613664e-06,
2612
+ "loss": 0.9466,
2613
+ "step": 1855
2614
+ },
2615
+ {
2616
+ "epoch": 0.8583294877711122,
2617
+ "grad_norm": 1.7022849150801465,
2618
+ "learning_rate": 1.1984109100743445e-06,
2619
+ "loss": 0.934,
2620
+ "step": 1860
2621
+ },
2622
+ {
2623
+ "epoch": 0.8606368251038302,
2624
+ "grad_norm": 1.7296616243070897,
2625
+ "learning_rate": 1.1604597430902032e-06,
2626
+ "loss": 0.9413,
2627
+ "step": 1865
2628
+ },
2629
+ {
2630
+ "epoch": 0.8629441624365483,
2631
+ "grad_norm": 1.70400411645417,
2632
+ "learning_rate": 1.123082161205775e-06,
2633
+ "loss": 0.9192,
2634
+ "step": 1870
2635
+ },
2636
+ {
2637
+ "epoch": 0.8652514997692663,
2638
+ "grad_norm": 1.7716704719549248,
2639
+ "learning_rate": 1.0862805897987894e-06,
2640
+ "loss": 0.9313,
2641
+ "step": 1875
2642
+ },
2643
+ {
2644
+ "epoch": 0.8675588371019843,
2645
+ "grad_norm": 1.6028791905428008,
2646
+ "learning_rate": 1.0500574168704746e-06,
2647
+ "loss": 0.9222,
2648
+ "step": 1880
2649
+ },
2650
+ {
2651
+ "epoch": 0.8698661744347024,
2652
+ "grad_norm": 1.6811903757943443,
2653
+ "learning_rate": 1.014414992890611e-06,
2654
+ "loss": 0.9613,
2655
+ "step": 1885
2656
+ },
2657
+ {
2658
+ "epoch": 0.8721735117674204,
2659
+ "grad_norm": 1.6582769629121996,
2660
+ "learning_rate": 9.793556306450125e-07,
2661
+ "loss": 0.9397,
2662
+ "step": 1890
2663
+ },
2664
+ {
2665
+ "epoch": 0.8744808491001385,
2666
+ "grad_norm": 1.7329477389715338,
2667
+ "learning_rate": 9.448816050854559e-07,
2668
+ "loss": 0.9456,
2669
+ "step": 1895
2670
+ },
2671
+ {
2672
+ "epoch": 0.8767881864328565,
2673
+ "grad_norm": 1.6579278218600528,
2674
+ "learning_rate": 9.10995153182056e-07,
2675
+ "loss": 0.9622,
2676
+ "step": 1900
2677
+ },
2678
+ {
2679
+ "epoch": 0.8790955237655745,
2680
+ "grad_norm": 1.7059466024322731,
2681
+ "learning_rate": 8.776984737781135e-07,
2682
+ "loss": 0.9247,
2683
+ "step": 1905
2684
+ },
2685
+ {
2686
+ "epoch": 0.8814028610982926,
2687
+ "grad_norm": 1.6587934531932846,
2688
+ "learning_rate": 8.449937274474396e-07,
2689
+ "loss": 0.9287,
2690
+ "step": 1910
2691
+ },
2692
+ {
2693
+ "epoch": 0.8837101984310106,
2694
+ "grad_norm": 1.7000421816452764,
2695
+ "learning_rate": 8.128830363541574e-07,
2696
+ "loss": 0.9579,
2697
+ "step": 1915
2698
+ },
2699
+ {
2700
+ "epoch": 0.8860175357637287,
2701
+ "grad_norm": 1.5982289727068608,
2702
+ "learning_rate": 7.81368484114996e-07,
2703
+ "loss": 0.9252,
2704
+ "step": 1920
2705
+ },
2706
+ {
2707
+ "epoch": 0.8883248730964467,
2708
+ "grad_norm": 1.6595039047537794,
2709
+ "learning_rate": 7.504521156640854e-07,
2710
+ "loss": 0.9535,
2711
+ "step": 1925
2712
+ },
2713
+ {
2714
+ "epoch": 0.8906322104291647,
2715
+ "grad_norm": 1.67142320517366,
2716
+ "learning_rate": 7.201359371202698e-07,
2717
+ "loss": 0.9342,
2718
+ "step": 1930
2719
+ },
2720
+ {
2721
+ "epoch": 0.8929395477618828,
2722
+ "grad_norm": 1.724210373217245,
2723
+ "learning_rate": 6.904219156569325e-07,
2724
+ "loss": 0.9537,
2725
+ "step": 1935
2726
+ },
2727
+ {
2728
+ "epoch": 0.8952468850946008,
2729
+ "grad_norm": 1.775137829218875,
2730
+ "learning_rate": 6.613119793743428e-07,
2731
+ "loss": 0.9407,
2732
+ "step": 1940
2733
+ },
2734
+ {
2735
+ "epoch": 0.8975542224273189,
2736
+ "grad_norm": 1.6829966494434596,
2737
+ "learning_rate": 6.32808017174551e-07,
2738
+ "loss": 0.9271,
2739
+ "step": 1945
2740
+ },
2741
+ {
2742
+ "epoch": 0.8998615597600369,
2743
+ "grad_norm": 1.7666732440040138,
2744
+ "learning_rate": 6.049118786388153e-07,
2745
+ "loss": 0.9299,
2746
+ "step": 1950
2747
+ },
2748
+ {
2749
+ "epoch": 0.9021688970927549,
2750
+ "grad_norm": 1.7328446243608238,
2751
+ "learning_rate": 5.776253739075887e-07,
2752
+ "loss": 0.9368,
2753
+ "step": 1955
2754
+ },
2755
+ {
2756
+ "epoch": 0.904476234425473,
2757
+ "grad_norm": 1.794453478228994,
2758
+ "learning_rate": 5.509502735630601e-07,
2759
+ "loss": 0.9584,
2760
+ "step": 1960
2761
+ },
2762
+ {
2763
+ "epoch": 0.906783571758191,
2764
+ "grad_norm": 1.8595416734645607,
2765
+ "learning_rate": 5.248883085142653e-07,
2766
+ "loss": 0.9278,
2767
+ "step": 1965
2768
+ },
2769
+ {
2770
+ "epoch": 0.9090909090909091,
2771
+ "grad_norm": 1.8064599818138745,
2772
+ "learning_rate": 4.994411698847668e-07,
2773
+ "loss": 0.9521,
2774
+ "step": 1970
2775
+ },
2776
+ {
2777
+ "epoch": 0.9113982464236271,
2778
+ "grad_norm": 11.97761580494739,
2779
+ "learning_rate": 4.746105089029229e-07,
2780
+ "loss": 0.9353,
2781
+ "step": 1975
2782
+ },
2783
+ {
2784
+ "epoch": 0.9137055837563451,
2785
+ "grad_norm": 1.91129591540662,
2786
+ "learning_rate": 4.50397936794742e-07,
2787
+ "loss": 0.9518,
2788
+ "step": 1980
2789
+ },
2790
+ {
2791
+ "epoch": 0.9160129210890632,
2792
+ "grad_norm": 1.68892958160335,
2793
+ "learning_rate": 4.268050246793276e-07,
2794
+ "loss": 0.9417,
2795
+ "step": 1985
2796
+ },
2797
+ {
2798
+ "epoch": 0.9183202584217812,
2799
+ "grad_norm": 1.7682216031642473,
2800
+ "learning_rate": 4.038333034669406e-07,
2801
+ "loss": 0.9575,
2802
+ "step": 1990
2803
+ },
2804
+ {
2805
+ "epoch": 0.9206275957544993,
2806
+ "grad_norm": 1.6202959145852942,
2807
+ "learning_rate": 3.814842637596483e-07,
2808
+ "loss": 0.9202,
2809
+ "step": 1995
2810
+ },
2811
+ {
2812
+ "epoch": 0.9229349330872173,
2813
+ "grad_norm": 1.7355964322786217,
2814
+ "learning_rate": 3.5975935575461083e-07,
2815
+ "loss": 0.9408,
2816
+ "step": 2000
2817
+ },
2818
+ {
2819
+ "epoch": 0.9252422704199353,
2820
+ "grad_norm": 1.784833888232325,
2821
+ "learning_rate": 3.3865998914997645e-07,
2822
+ "loss": 0.9451,
2823
+ "step": 2005
2824
+ },
2825
+ {
2826
+ "epoch": 0.9275496077526535,
2827
+ "grad_norm": 1.7347540917405002,
2828
+ "learning_rate": 3.1818753305340566e-07,
2829
+ "loss": 0.9503,
2830
+ "step": 2010
2831
+ },
2832
+ {
2833
+ "epoch": 0.9298569450853715,
2834
+ "grad_norm": 1.7098932522181238,
2835
+ "learning_rate": 2.9834331589323697e-07,
2836
+ "loss": 0.9648,
2837
+ "step": 2015
2838
+ },
2839
+ {
2840
+ "epoch": 0.9321642824180896,
2841
+ "grad_norm": 1.7375733049730988,
2842
+ "learning_rate": 2.791286253322856e-07,
2843
+ "loss": 0.9325,
2844
+ "step": 2020
2845
+ },
2846
+ {
2847
+ "epoch": 0.9344716197508076,
2848
+ "grad_norm": 1.7376811511996035,
2849
+ "learning_rate": 2.605447081842838e-07,
2850
+ "loss": 0.9236,
2851
+ "step": 2025
2852
+ },
2853
+ {
2854
+ "epoch": 0.9367789570835257,
2855
+ "grad_norm": 1.6285382014408727,
2856
+ "learning_rate": 2.425927703329856e-07,
2857
+ "loss": 0.9374,
2858
+ "step": 2030
2859
+ },
2860
+ {
2861
+ "epoch": 0.9390862944162437,
2862
+ "grad_norm": 1.7187090366001978,
2863
+ "learning_rate": 2.2527397665391026e-07,
2864
+ "loss": 0.9408,
2865
+ "step": 2035
2866
+ },
2867
+ {
2868
+ "epoch": 0.9413936317489617,
2869
+ "grad_norm": 1.6018424242699771,
2870
+ "learning_rate": 2.0858945093876315e-07,
2871
+ "loss": 0.9255,
2872
+ "step": 2040
2873
+ },
2874
+ {
2875
+ "epoch": 0.9437009690816798,
2876
+ "grad_norm": 1.7403672056926338,
2877
+ "learning_rate": 1.9254027582250588e-07,
2878
+ "loss": 0.9386,
2879
+ "step": 2045
2880
+ },
2881
+ {
2882
+ "epoch": 0.9460083064143978,
2883
+ "grad_norm": 1.6413885110477684,
2884
+ "learning_rate": 1.7712749271311392e-07,
2885
+ "loss": 0.9463,
2886
+ "step": 2050
2887
+ },
2888
+ {
2889
+ "epoch": 0.9483156437471159,
2890
+ "grad_norm": 1.6584652712298515,
2891
+ "learning_rate": 1.6235210172399373e-07,
2892
+ "loss": 0.9197,
2893
+ "step": 2055
2894
+ },
2895
+ {
2896
+ "epoch": 0.9506229810798339,
2897
+ "grad_norm": 1.7146073811212112,
2898
+ "learning_rate": 1.4821506160909492e-07,
2899
+ "loss": 0.9325,
2900
+ "step": 2060
2901
+ },
2902
+ {
2903
+ "epoch": 0.9529303184125519,
2904
+ "grad_norm": 1.7862356926674563,
2905
+ "learning_rate": 1.3471728970068986e-07,
2906
+ "loss": 0.9415,
2907
+ "step": 2065
2908
+ },
2909
+ {
2910
+ "epoch": 0.95523765574527,
2911
+ "grad_norm": 1.7900835474706864,
2912
+ "learning_rate": 1.2185966184985687e-07,
2913
+ "loss": 0.9516,
2914
+ "step": 2070
2915
+ },
2916
+ {
2917
+ "epoch": 0.957544993077988,
2918
+ "grad_norm": 1.61965861822062,
2919
+ "learning_rate": 1.0964301236963904e-07,
2920
+ "loss": 0.9272,
2921
+ "step": 2075
2922
+ },
2923
+ {
2924
+ "epoch": 0.9598523304107061,
2925
+ "grad_norm": 1.752477339334271,
2926
+ "learning_rate": 9.806813398091419e-08,
2927
+ "loss": 0.9231,
2928
+ "step": 2080
2929
+ },
2930
+ {
2931
+ "epoch": 0.9621596677434241,
2932
+ "grad_norm": 1.6566621651012274,
2933
+ "learning_rate": 8.713577776095494e-08,
2934
+ "loss": 0.9293,
2935
+ "step": 2085
2936
+ },
2937
+ {
2938
+ "epoch": 0.9644670050761421,
2939
+ "grad_norm": 1.637994937785989,
2940
+ "learning_rate": 7.684665309468875e-08,
2941
+ "loss": 0.9539,
2942
+ "step": 2090
2943
+ },
2944
+ {
2945
+ "epoch": 0.9667743424088602,
2946
+ "grad_norm": 1.6112435656292767,
2947
+ "learning_rate": 6.720142762867032e-08,
2948
+ "loss": 0.9558,
2949
+ "step": 2095
2950
+ },
2951
+ {
2952
+ "epoch": 0.9690816797415782,
2953
+ "grad_norm": 1.7629733611663445,
2954
+ "learning_rate": 5.820072722775849e-08,
2955
+ "loss": 0.9441,
2956
+ "step": 2100
2957
+ },
2958
+ {
2959
+ "epoch": 0.9713890170742963,
2960
+ "grad_norm": 1.6502417380976349,
2961
+ "learning_rate": 4.984513593450424e-08,
2962
+ "loss": 0.9527,
2963
+ "step": 2105
2964
+ },
2965
+ {
2966
+ "epoch": 0.9736963544070143,
2967
+ "grad_norm": 1.697689686578805,
2968
+ "learning_rate": 4.2135195931249925e-08,
2969
+ "loss": 0.9468,
2970
+ "step": 2110
2971
+ },
2972
+ {
2973
+ "epoch": 0.9760036917397323,
2974
+ "grad_norm": 1.7391293446601994,
2975
+ "learning_rate": 3.50714075049563e-08,
2976
+ "loss": 0.932,
2977
+ "step": 2115
2978
+ },
2979
+ {
2980
+ "epoch": 0.9783110290724504,
2981
+ "grad_norm": 1.7092970910189305,
2982
+ "learning_rate": 2.8654229014730694e-08,
2983
+ "loss": 0.9377,
2984
+ "step": 2120
2985
+ },
2986
+ {
2987
+ "epoch": 0.9806183664051684,
2988
+ "grad_norm": 1.6908979053958657,
2989
+ "learning_rate": 2.2884076862089712e-08,
2990
+ "loss": 0.9238,
2991
+ "step": 2125
2992
+ },
2993
+ {
2994
+ "epoch": 0.9829257037378865,
2995
+ "grad_norm": 1.634296694613385,
2996
+ "learning_rate": 1.7761325463937495e-08,
2997
+ "loss": 0.9473,
2998
+ "step": 2130
2999
+ },
3000
+ {
3001
+ "epoch": 0.9852330410706045,
3002
+ "grad_norm": 1.700195091519778,
3003
+ "learning_rate": 1.3286307228269623e-08,
3004
+ "loss": 0.9491,
3005
+ "step": 2135
3006
+ },
3007
+ {
3008
+ "epoch": 0.9875403784033225,
3009
+ "grad_norm": 1.6899977441806657,
3010
+ "learning_rate": 9.459312532608122e-09,
3011
+ "loss": 0.9393,
3012
+ "step": 2140
3013
+ },
3014
+ {
3015
+ "epoch": 0.9898477157360406,
3016
+ "grad_norm": 1.6459431767651571,
3017
+ "learning_rate": 6.280589705153217e-09,
3018
+ "loss": 0.9316,
3019
+ "step": 2145
3020
+ },
3021
+ {
3022
+ "epoch": 0.9921550530687586,
3023
+ "grad_norm": 1.6824622254831971,
3024
+ "learning_rate": 3.750345008675105e-09,
3025
+ "loss": 0.9455,
3026
+ "step": 2150
3027
+ },
3028
+ {
3029
+ "epoch": 0.9944623904014767,
3030
+ "grad_norm": 1.6711402676574085,
3031
+ "learning_rate": 1.8687426271246646e-09,
3032
+ "loss": 0.9299,
3033
+ "step": 2155
3034
+ },
3035
+ {
3036
+ "epoch": 0.9967697277341947,
3037
+ "grad_norm": 1.7394983815714609,
3038
+ "learning_rate": 6.359046549864189e-10,
3039
+ "loss": 0.9262,
3040
+ "step": 2160
3041
+ },
3042
+ {
3043
+ "epoch": 0.9990770650669127,
3044
+ "grad_norm": 1.9029748936658466,
3045
+ "learning_rate": 5.1911089347100876e-11,
3046
+ "loss": 0.973,
3047
+ "step": 2165
3048
+ },
3049
+ {
3050
+ "epoch": 1.0,
3051
+ "eval_loss": 0.9539673924446106,
3052
+ "eval_runtime": 317.6397,
3053
+ "eval_samples_per_second": 48.325,
3054
+ "eval_steps_per_second": 0.756,
3055
+ "step": 2167
3056
+ },
3057
+ {
3058
+ "epoch": 1.0,
3059
+ "step": 2167,
3060
+ "total_flos": 453725713858560.0,
3061
+ "train_loss": 1.0076359760722753,
3062
+ "train_runtime": 13620.7718,
3063
+ "train_samples_per_second": 10.182,
3064
+ "train_steps_per_second": 0.159
3065
+ }
3066
+ ],
3067
+ "logging_steps": 5,
3068
+ "max_steps": 2167,
3069
+ "num_input_tokens_seen": 0,
3070
+ "num_train_epochs": 1,
3071
+ "save_steps": 100,
3072
+ "stateful_callbacks": {
3073
+ "TrainerControl": {
3074
+ "args": {
3075
+ "should_epoch_stop": false,
3076
+ "should_evaluate": false,
3077
+ "should_log": false,
3078
+ "should_save": true,
3079
+ "should_training_stop": true
3080
+ },
3081
+ "attributes": {}
3082
+ }
3083
+ },
3084
+ "total_flos": 453725713858560.0,
3085
+ "train_batch_size": 8,
3086
+ "trial_name": null,
3087
+ "trial_params": null
3088
+ }