radic2682 commited on
Commit
d4c3d69
1 Parent(s): 034f88d

End of training

Browse files
README.md CHANGED
@@ -3,6 +3,8 @@ license: apache-2.0
3
  base_model: google/bigbird-roberta-large
4
  tags:
5
  - generated_from_trainer
 
 
6
  model-index:
7
  - name: bigBird-large-fine-tuning-squad-B16R1_bias
8
  results: []
@@ -14,7 +16,7 @@ should probably proofread and complete it, then remove this comment. -->
14
  [<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="200" height="32"/>](https://wandb.ai/radic2682-unist/bigBird-large-fine-tuning-squad-b16r1_bias/runs/0j9jq8s8)
15
  # bigBird-large-fine-tuning-squad-B16R1_bias
16
 
17
- This model is a fine-tuned version of [google/bigbird-roberta-large](https://huggingface.co/google/bigbird-roberta-large) on an unknown dataset.
18
 
19
  ## Model description
20
 
 
3
  base_model: google/bigbird-roberta-large
4
  tags:
5
  - generated_from_trainer
6
+ datasets:
7
+ - squad
8
  model-index:
9
  - name: bigBird-large-fine-tuning-squad-B16R1_bias
10
  results: []
 
16
  [<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="200" height="32"/>](https://wandb.ai/radic2682-unist/bigBird-large-fine-tuning-squad-b16r1_bias/runs/0j9jq8s8)
17
  # bigBird-large-fine-tuning-squad-B16R1_bias
18
 
19
+ This model is a fine-tuned version of [google/bigbird-roberta-large](https://huggingface.co/google/bigbird-roberta-large) on the squad dataset.
20
 
21
  ## Model description
22
 
all_results.json ADDED
@@ -0,0 +1,15 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "epoch": 3.0,
3
+ "eval_exact_match": 86.04541154210028,
4
+ "eval_f1": 92.72239300927416,
5
+ "eval_runtime": 371.1027,
6
+ "eval_samples": 10570,
7
+ "eval_samples_per_second": 28.483,
8
+ "eval_steps_per_second": 1.781,
9
+ "total_flos": 2.006738209660207e+18,
10
+ "train_loss": 0.6803066000655361,
11
+ "train_runtime": 54119.8344,
12
+ "train_samples": 87599,
13
+ "train_samples_per_second": 4.856,
14
+ "train_steps_per_second": 0.405
15
+ }
eval_nbest_predictions.json CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:8068ca995c84eae35b2926d58d67e311a8a3555a3a4591fad71d8afcc1f7568b
3
- size 45936607
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:bd2c3699fa7e47c85be2b8bfcbfcc0a6e1e517a146256e7c6d31eb2bbf8b7d37
3
+ size 46024172
eval_predictions.json CHANGED
The diff for this file is too large to render. See raw diff
 
eval_results.json ADDED
@@ -0,0 +1,9 @@
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "epoch": 3.0,
3
+ "eval_exact_match": 86.04541154210028,
4
+ "eval_f1": 92.72239300927416,
5
+ "eval_runtime": 371.1027,
6
+ "eval_samples": 10570,
7
+ "eval_samples_per_second": 28.483,
8
+ "eval_steps_per_second": 1.781
9
+ }
log/events.out.tfevents.1723776452.isl-gpu4.1694149.1 ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:847c4e3c640afb4b498fe1d78662870e6308b55ae4401c60620f4cb2cd78e819
3
+ size 418
train_results.json ADDED
@@ -0,0 +1,9 @@
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "epoch": 3.0,
3
+ "total_flos": 2.006738209660207e+18,
4
+ "train_loss": 0.6803066000655361,
5
+ "train_runtime": 54119.8344,
6
+ "train_samples": 87599,
7
+ "train_samples_per_second": 4.856,
8
+ "train_steps_per_second": 0.405
9
+ }
trainer_state.json ADDED
@@ -0,0 +1,3198 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_metric": null,
3
+ "best_model_checkpoint": null,
4
+ "epoch": 3.0,
5
+ "eval_steps": 2000,
6
+ "global_step": 21900,
7
+ "is_hyper_param_search": false,
8
+ "is_local_process_zero": true,
9
+ "is_world_process_zero": true,
10
+ "log_history": [
11
+ {
12
+ "epoch": 0.00684931506849315,
13
+ "grad_norm": 341.1622619628906,
14
+ "learning_rate": 2.9945205479452056e-05,
15
+ "loss": 4.9651,
16
+ "step": 50
17
+ },
18
+ {
19
+ "epoch": 0.0136986301369863,
20
+ "grad_norm": 47.20112609863281,
21
+ "learning_rate": 2.9876712328767122e-05,
22
+ "loss": 2.5643,
23
+ "step": 100
24
+ },
25
+ {
26
+ "epoch": 0.02054794520547945,
27
+ "grad_norm": 136.01480102539062,
28
+ "learning_rate": 2.980821917808219e-05,
29
+ "loss": 2.492,
30
+ "step": 150
31
+ },
32
+ {
33
+ "epoch": 0.0273972602739726,
34
+ "grad_norm": 34.74509048461914,
35
+ "learning_rate": 2.973972602739726e-05,
36
+ "loss": 1.8855,
37
+ "step": 200
38
+ },
39
+ {
40
+ "epoch": 0.03424657534246575,
41
+ "grad_norm": 415.1113586425781,
42
+ "learning_rate": 2.967123287671233e-05,
43
+ "loss": 1.8193,
44
+ "step": 250
45
+ },
46
+ {
47
+ "epoch": 0.0410958904109589,
48
+ "grad_norm": 46.783470153808594,
49
+ "learning_rate": 2.9602739726027396e-05,
50
+ "loss": 1.6777,
51
+ "step": 300
52
+ },
53
+ {
54
+ "epoch": 0.04794520547945205,
55
+ "grad_norm": 49.481300354003906,
56
+ "learning_rate": 2.9534246575342466e-05,
57
+ "loss": 1.6324,
58
+ "step": 350
59
+ },
60
+ {
61
+ "epoch": 0.0547945205479452,
62
+ "grad_norm": 54.750755310058594,
63
+ "learning_rate": 2.9467123287671234e-05,
64
+ "loss": 1.4367,
65
+ "step": 400
66
+ },
67
+ {
68
+ "epoch": 0.06164383561643835,
69
+ "grad_norm": 49.342838287353516,
70
+ "learning_rate": 2.93986301369863e-05,
71
+ "loss": 1.4989,
72
+ "step": 450
73
+ },
74
+ {
75
+ "epoch": 0.0684931506849315,
76
+ "grad_norm": 11.364151000976562,
77
+ "learning_rate": 2.933013698630137e-05,
78
+ "loss": 1.5344,
79
+ "step": 500
80
+ },
81
+ {
82
+ "epoch": 0.07534246575342465,
83
+ "grad_norm": 77.4140396118164,
84
+ "learning_rate": 2.926164383561644e-05,
85
+ "loss": 1.51,
86
+ "step": 550
87
+ },
88
+ {
89
+ "epoch": 0.0821917808219178,
90
+ "grad_norm": 20.35340690612793,
91
+ "learning_rate": 2.919315068493151e-05,
92
+ "loss": 1.4193,
93
+ "step": 600
94
+ },
95
+ {
96
+ "epoch": 0.08904109589041095,
97
+ "grad_norm": 45.406463623046875,
98
+ "learning_rate": 2.9124657534246575e-05,
99
+ "loss": 1.3835,
100
+ "step": 650
101
+ },
102
+ {
103
+ "epoch": 0.0958904109589041,
104
+ "grad_norm": 21.045604705810547,
105
+ "learning_rate": 2.9056164383561644e-05,
106
+ "loss": 1.2977,
107
+ "step": 700
108
+ },
109
+ {
110
+ "epoch": 0.10273972602739725,
111
+ "grad_norm": 45.87715530395508,
112
+ "learning_rate": 2.8987671232876714e-05,
113
+ "loss": 1.3941,
114
+ "step": 750
115
+ },
116
+ {
117
+ "epoch": 0.1095890410958904,
118
+ "grad_norm": 50.6860466003418,
119
+ "learning_rate": 2.8919178082191783e-05,
120
+ "loss": 1.4132,
121
+ "step": 800
122
+ },
123
+ {
124
+ "epoch": 0.11643835616438356,
125
+ "grad_norm": 35.442527770996094,
126
+ "learning_rate": 2.885068493150685e-05,
127
+ "loss": 1.3313,
128
+ "step": 850
129
+ },
130
+ {
131
+ "epoch": 0.1232876712328767,
132
+ "grad_norm": 37.033992767333984,
133
+ "learning_rate": 2.878219178082192e-05,
134
+ "loss": 1.2819,
135
+ "step": 900
136
+ },
137
+ {
138
+ "epoch": 0.13013698630136986,
139
+ "grad_norm": 21.093502044677734,
140
+ "learning_rate": 2.871369863013699e-05,
141
+ "loss": 1.2457,
142
+ "step": 950
143
+ },
144
+ {
145
+ "epoch": 0.136986301369863,
146
+ "grad_norm": 19.11823081970215,
147
+ "learning_rate": 2.8645205479452058e-05,
148
+ "loss": 1.2022,
149
+ "step": 1000
150
+ },
151
+ {
152
+ "epoch": 0.14383561643835616,
153
+ "grad_norm": 24.3985538482666,
154
+ "learning_rate": 2.8576712328767124e-05,
155
+ "loss": 1.2132,
156
+ "step": 1050
157
+ },
158
+ {
159
+ "epoch": 0.1506849315068493,
160
+ "grad_norm": 29.999114990234375,
161
+ "learning_rate": 2.8508219178082194e-05,
162
+ "loss": 1.4006,
163
+ "step": 1100
164
+ },
165
+ {
166
+ "epoch": 0.15753424657534246,
167
+ "grad_norm": 61.78759002685547,
168
+ "learning_rate": 2.8439726027397263e-05,
169
+ "loss": 1.4269,
170
+ "step": 1150
171
+ },
172
+ {
173
+ "epoch": 0.1643835616438356,
174
+ "grad_norm": 28.08926773071289,
175
+ "learning_rate": 2.8371232876712332e-05,
176
+ "loss": 1.2884,
177
+ "step": 1200
178
+ },
179
+ {
180
+ "epoch": 0.17123287671232876,
181
+ "grad_norm": 31.31874656677246,
182
+ "learning_rate": 2.8302739726027395e-05,
183
+ "loss": 1.1787,
184
+ "step": 1250
185
+ },
186
+ {
187
+ "epoch": 0.1780821917808219,
188
+ "grad_norm": 27.130922317504883,
189
+ "learning_rate": 2.8234246575342465e-05,
190
+ "loss": 1.1857,
191
+ "step": 1300
192
+ },
193
+ {
194
+ "epoch": 0.18493150684931506,
195
+ "grad_norm": 18.046369552612305,
196
+ "learning_rate": 2.8165753424657534e-05,
197
+ "loss": 1.1351,
198
+ "step": 1350
199
+ },
200
+ {
201
+ "epoch": 0.1917808219178082,
202
+ "grad_norm": 71.45783996582031,
203
+ "learning_rate": 2.8097260273972604e-05,
204
+ "loss": 1.196,
205
+ "step": 1400
206
+ },
207
+ {
208
+ "epoch": 0.19863013698630136,
209
+ "grad_norm": 12.047041893005371,
210
+ "learning_rate": 2.803013698630137e-05,
211
+ "loss": 1.3001,
212
+ "step": 1450
213
+ },
214
+ {
215
+ "epoch": 0.2054794520547945,
216
+ "grad_norm": 15.405315399169922,
217
+ "learning_rate": 2.796164383561644e-05,
218
+ "loss": 1.147,
219
+ "step": 1500
220
+ },
221
+ {
222
+ "epoch": 0.21232876712328766,
223
+ "grad_norm": 25.710603713989258,
224
+ "learning_rate": 2.7893150684931508e-05,
225
+ "loss": 1.1912,
226
+ "step": 1550
227
+ },
228
+ {
229
+ "epoch": 0.2191780821917808,
230
+ "grad_norm": 52.69472885131836,
231
+ "learning_rate": 2.7824657534246574e-05,
232
+ "loss": 1.0702,
233
+ "step": 1600
234
+ },
235
+ {
236
+ "epoch": 0.22602739726027396,
237
+ "grad_norm": 19.084321975708008,
238
+ "learning_rate": 2.7756164383561643e-05,
239
+ "loss": 1.2096,
240
+ "step": 1650
241
+ },
242
+ {
243
+ "epoch": 0.2328767123287671,
244
+ "grad_norm": 18.86844253540039,
245
+ "learning_rate": 2.7687671232876713e-05,
246
+ "loss": 1.0732,
247
+ "step": 1700
248
+ },
249
+ {
250
+ "epoch": 0.23972602739726026,
251
+ "grad_norm": 20.677623748779297,
252
+ "learning_rate": 2.7619178082191782e-05,
253
+ "loss": 1.0515,
254
+ "step": 1750
255
+ },
256
+ {
257
+ "epoch": 0.2465753424657534,
258
+ "grad_norm": 22.844743728637695,
259
+ "learning_rate": 2.755068493150685e-05,
260
+ "loss": 1.0897,
261
+ "step": 1800
262
+ },
263
+ {
264
+ "epoch": 0.2534246575342466,
265
+ "grad_norm": 22.20302963256836,
266
+ "learning_rate": 2.7482191780821918e-05,
267
+ "loss": 1.0234,
268
+ "step": 1850
269
+ },
270
+ {
271
+ "epoch": 0.2602739726027397,
272
+ "grad_norm": 21.382713317871094,
273
+ "learning_rate": 2.7413698630136987e-05,
274
+ "loss": 1.0679,
275
+ "step": 1900
276
+ },
277
+ {
278
+ "epoch": 0.2671232876712329,
279
+ "grad_norm": 38.08824920654297,
280
+ "learning_rate": 2.7345205479452057e-05,
281
+ "loss": 1.0237,
282
+ "step": 1950
283
+ },
284
+ {
285
+ "epoch": 0.273972602739726,
286
+ "grad_norm": 64.6864013671875,
287
+ "learning_rate": 2.7276712328767123e-05,
288
+ "loss": 0.9552,
289
+ "step": 2000
290
+ },
291
+ {
292
+ "epoch": 0.273972602739726,
293
+ "eval_exact_match": 81.20151371807,
294
+ "eval_f1": 89.11978143319536,
295
+ "eval_runtime": 373.3956,
296
+ "eval_samples_per_second": 28.308,
297
+ "eval_steps_per_second": 1.77,
298
+ "step": 2000
299
+ },
300
+ {
301
+ "epoch": 0.2808219178082192,
302
+ "grad_norm": 35.17247009277344,
303
+ "learning_rate": 2.7208219178082192e-05,
304
+ "loss": 1.0625,
305
+ "step": 2050
306
+ },
307
+ {
308
+ "epoch": 0.2876712328767123,
309
+ "grad_norm": 14.59727954864502,
310
+ "learning_rate": 2.7139726027397262e-05,
311
+ "loss": 0.896,
312
+ "step": 2100
313
+ },
314
+ {
315
+ "epoch": 0.2945205479452055,
316
+ "grad_norm": 17.56501579284668,
317
+ "learning_rate": 2.707123287671233e-05,
318
+ "loss": 0.9751,
319
+ "step": 2150
320
+ },
321
+ {
322
+ "epoch": 0.3013698630136986,
323
+ "grad_norm": 39.82829666137695,
324
+ "learning_rate": 2.7002739726027397e-05,
325
+ "loss": 0.9483,
326
+ "step": 2200
327
+ },
328
+ {
329
+ "epoch": 0.3082191780821918,
330
+ "grad_norm": 52.49971008300781,
331
+ "learning_rate": 2.6934246575342467e-05,
332
+ "loss": 0.9356,
333
+ "step": 2250
334
+ },
335
+ {
336
+ "epoch": 0.3150684931506849,
337
+ "grad_norm": 12.524872779846191,
338
+ "learning_rate": 2.6865753424657536e-05,
339
+ "loss": 1.0543,
340
+ "step": 2300
341
+ },
342
+ {
343
+ "epoch": 0.3219178082191781,
344
+ "grad_norm": 26.332027435302734,
345
+ "learning_rate": 2.6797260273972606e-05,
346
+ "loss": 0.9407,
347
+ "step": 2350
348
+ },
349
+ {
350
+ "epoch": 0.3287671232876712,
351
+ "grad_norm": 56.26033020019531,
352
+ "learning_rate": 2.6728767123287672e-05,
353
+ "loss": 1.0,
354
+ "step": 2400
355
+ },
356
+ {
357
+ "epoch": 0.3356164383561644,
358
+ "grad_norm": 33.63979721069336,
359
+ "learning_rate": 2.666027397260274e-05,
360
+ "loss": 1.0453,
361
+ "step": 2450
362
+ },
363
+ {
364
+ "epoch": 0.3424657534246575,
365
+ "grad_norm": 11.63798713684082,
366
+ "learning_rate": 2.659178082191781e-05,
367
+ "loss": 1.0912,
368
+ "step": 2500
369
+ },
370
+ {
371
+ "epoch": 0.3493150684931507,
372
+ "grad_norm": 48.529258728027344,
373
+ "learning_rate": 2.652328767123288e-05,
374
+ "loss": 1.0498,
375
+ "step": 2550
376
+ },
377
+ {
378
+ "epoch": 0.3561643835616438,
379
+ "grad_norm": 11.467239379882812,
380
+ "learning_rate": 2.6454794520547943e-05,
381
+ "loss": 0.9941,
382
+ "step": 2600
383
+ },
384
+ {
385
+ "epoch": 0.363013698630137,
386
+ "grad_norm": 18.566442489624023,
387
+ "learning_rate": 2.6386301369863013e-05,
388
+ "loss": 0.9262,
389
+ "step": 2650
390
+ },
391
+ {
392
+ "epoch": 0.3698630136986301,
393
+ "grad_norm": 6.612974166870117,
394
+ "learning_rate": 2.6317808219178082e-05,
395
+ "loss": 0.9856,
396
+ "step": 2700
397
+ },
398
+ {
399
+ "epoch": 0.3767123287671233,
400
+ "grad_norm": 14.778943061828613,
401
+ "learning_rate": 2.624931506849315e-05,
402
+ "loss": 0.9819,
403
+ "step": 2750
404
+ },
405
+ {
406
+ "epoch": 0.3835616438356164,
407
+ "grad_norm": 23.16988754272461,
408
+ "learning_rate": 2.6180821917808218e-05,
409
+ "loss": 1.0082,
410
+ "step": 2800
411
+ },
412
+ {
413
+ "epoch": 0.3904109589041096,
414
+ "grad_norm": 18.585800170898438,
415
+ "learning_rate": 2.6112328767123287e-05,
416
+ "loss": 0.9695,
417
+ "step": 2850
418
+ },
419
+ {
420
+ "epoch": 0.3972602739726027,
421
+ "grad_norm": 28.559650421142578,
422
+ "learning_rate": 2.6043835616438357e-05,
423
+ "loss": 0.961,
424
+ "step": 2900
425
+ },
426
+ {
427
+ "epoch": 0.4041095890410959,
428
+ "grad_norm": 53.306453704833984,
429
+ "learning_rate": 2.5975342465753426e-05,
430
+ "loss": 0.9382,
431
+ "step": 2950
432
+ },
433
+ {
434
+ "epoch": 0.410958904109589,
435
+ "grad_norm": 21.294361114501953,
436
+ "learning_rate": 2.5906849315068492e-05,
437
+ "loss": 0.9482,
438
+ "step": 3000
439
+ },
440
+ {
441
+ "epoch": 0.4178082191780822,
442
+ "grad_norm": 74.29987335205078,
443
+ "learning_rate": 2.583835616438356e-05,
444
+ "loss": 0.969,
445
+ "step": 3050
446
+ },
447
+ {
448
+ "epoch": 0.4246575342465753,
449
+ "grad_norm": 38.378807067871094,
450
+ "learning_rate": 2.576986301369863e-05,
451
+ "loss": 0.869,
452
+ "step": 3100
453
+ },
454
+ {
455
+ "epoch": 0.4315068493150685,
456
+ "grad_norm": 20.193374633789062,
457
+ "learning_rate": 2.57013698630137e-05,
458
+ "loss": 0.9143,
459
+ "step": 3150
460
+ },
461
+ {
462
+ "epoch": 0.4383561643835616,
463
+ "grad_norm": 22.409589767456055,
464
+ "learning_rate": 2.5632876712328767e-05,
465
+ "loss": 0.993,
466
+ "step": 3200
467
+ },
468
+ {
469
+ "epoch": 0.4452054794520548,
470
+ "grad_norm": 11.131108283996582,
471
+ "learning_rate": 2.5564383561643836e-05,
472
+ "loss": 1.0915,
473
+ "step": 3250
474
+ },
475
+ {
476
+ "epoch": 0.4520547945205479,
477
+ "grad_norm": 20.399301528930664,
478
+ "learning_rate": 2.5495890410958906e-05,
479
+ "loss": 0.9514,
480
+ "step": 3300
481
+ },
482
+ {
483
+ "epoch": 0.4589041095890411,
484
+ "grad_norm": 19.632505416870117,
485
+ "learning_rate": 2.5427397260273975e-05,
486
+ "loss": 0.9821,
487
+ "step": 3350
488
+ },
489
+ {
490
+ "epoch": 0.4657534246575342,
491
+ "grad_norm": 9.592618942260742,
492
+ "learning_rate": 2.535890410958904e-05,
493
+ "loss": 0.9956,
494
+ "step": 3400
495
+ },
496
+ {
497
+ "epoch": 0.4726027397260274,
498
+ "grad_norm": 34.0085334777832,
499
+ "learning_rate": 2.529041095890411e-05,
500
+ "loss": 0.9384,
501
+ "step": 3450
502
+ },
503
+ {
504
+ "epoch": 0.4794520547945205,
505
+ "grad_norm": 29.698089599609375,
506
+ "learning_rate": 2.522191780821918e-05,
507
+ "loss": 0.8727,
508
+ "step": 3500
509
+ },
510
+ {
511
+ "epoch": 0.4863013698630137,
512
+ "grad_norm": 4.650140762329102,
513
+ "learning_rate": 2.515342465753425e-05,
514
+ "loss": 0.9278,
515
+ "step": 3550
516
+ },
517
+ {
518
+ "epoch": 0.4931506849315068,
519
+ "grad_norm": 47.80159378051758,
520
+ "learning_rate": 2.5084931506849316e-05,
521
+ "loss": 0.9,
522
+ "step": 3600
523
+ },
524
+ {
525
+ "epoch": 0.5,
526
+ "grad_norm": 27.069276809692383,
527
+ "learning_rate": 2.5016438356164385e-05,
528
+ "loss": 0.91,
529
+ "step": 3650
530
+ },
531
+ {
532
+ "epoch": 0.5068493150684932,
533
+ "grad_norm": 21.940160751342773,
534
+ "learning_rate": 2.4947945205479455e-05,
535
+ "loss": 1.159,
536
+ "step": 3700
537
+ },
538
+ {
539
+ "epoch": 0.5136986301369864,
540
+ "grad_norm": 34.344852447509766,
541
+ "learning_rate": 2.4879452054794524e-05,
542
+ "loss": 0.9166,
543
+ "step": 3750
544
+ },
545
+ {
546
+ "epoch": 0.5205479452054794,
547
+ "grad_norm": 45.67475128173828,
548
+ "learning_rate": 2.481095890410959e-05,
549
+ "loss": 0.947,
550
+ "step": 3800
551
+ },
552
+ {
553
+ "epoch": 0.5273972602739726,
554
+ "grad_norm": 45.106163024902344,
555
+ "learning_rate": 2.474246575342466e-05,
556
+ "loss": 0.9908,
557
+ "step": 3850
558
+ },
559
+ {
560
+ "epoch": 0.5342465753424658,
561
+ "grad_norm": 20.590816497802734,
562
+ "learning_rate": 2.4673972602739726e-05,
563
+ "loss": 0.9051,
564
+ "step": 3900
565
+ },
566
+ {
567
+ "epoch": 0.541095890410959,
568
+ "grad_norm": 27.564393997192383,
569
+ "learning_rate": 2.4605479452054795e-05,
570
+ "loss": 0.9555,
571
+ "step": 3950
572
+ },
573
+ {
574
+ "epoch": 0.547945205479452,
575
+ "grad_norm": 7.4184956550598145,
576
+ "learning_rate": 2.453698630136986e-05,
577
+ "loss": 0.9574,
578
+ "step": 4000
579
+ },
580
+ {
581
+ "epoch": 0.547945205479452,
582
+ "eval_exact_match": 82.3841059602649,
583
+ "eval_f1": 90.0771836682692,
584
+ "eval_runtime": 374.3076,
585
+ "eval_samples_per_second": 28.239,
586
+ "eval_steps_per_second": 1.766,
587
+ "step": 4000
588
+ },
589
+ {
590
+ "epoch": 0.5547945205479452,
591
+ "grad_norm": 17.022262573242188,
592
+ "learning_rate": 2.446849315068493e-05,
593
+ "loss": 0.986,
594
+ "step": 4050
595
+ },
596
+ {
597
+ "epoch": 0.5616438356164384,
598
+ "grad_norm": 22.404705047607422,
599
+ "learning_rate": 2.44e-05,
600
+ "loss": 0.956,
601
+ "step": 4100
602
+ },
603
+ {
604
+ "epoch": 0.5684931506849316,
605
+ "grad_norm": 22.185340881347656,
606
+ "learning_rate": 2.433150684931507e-05,
607
+ "loss": 0.8592,
608
+ "step": 4150
609
+ },
610
+ {
611
+ "epoch": 0.5753424657534246,
612
+ "grad_norm": 38.17957305908203,
613
+ "learning_rate": 2.4263013698630136e-05,
614
+ "loss": 0.9033,
615
+ "step": 4200
616
+ },
617
+ {
618
+ "epoch": 0.5821917808219178,
619
+ "grad_norm": 19.095006942749023,
620
+ "learning_rate": 2.4194520547945205e-05,
621
+ "loss": 0.9732,
622
+ "step": 4250
623
+ },
624
+ {
625
+ "epoch": 0.589041095890411,
626
+ "grad_norm": 7.960810661315918,
627
+ "learning_rate": 2.4126027397260275e-05,
628
+ "loss": 0.9306,
629
+ "step": 4300
630
+ },
631
+ {
632
+ "epoch": 0.5958904109589042,
633
+ "grad_norm": 14.839760780334473,
634
+ "learning_rate": 2.4057534246575344e-05,
635
+ "loss": 0.8492,
636
+ "step": 4350
637
+ },
638
+ {
639
+ "epoch": 0.6027397260273972,
640
+ "grad_norm": 14.839119911193848,
641
+ "learning_rate": 2.398904109589041e-05,
642
+ "loss": 0.8939,
643
+ "step": 4400
644
+ },
645
+ {
646
+ "epoch": 0.6095890410958904,
647
+ "grad_norm": 9.723929405212402,
648
+ "learning_rate": 2.392054794520548e-05,
649
+ "loss": 1.0003,
650
+ "step": 4450
651
+ },
652
+ {
653
+ "epoch": 0.6164383561643836,
654
+ "grad_norm": 26.83091163635254,
655
+ "learning_rate": 2.385205479452055e-05,
656
+ "loss": 0.8949,
657
+ "step": 4500
658
+ },
659
+ {
660
+ "epoch": 0.6232876712328768,
661
+ "grad_norm": 12.107084274291992,
662
+ "learning_rate": 2.378356164383562e-05,
663
+ "loss": 0.9106,
664
+ "step": 4550
665
+ },
666
+ {
667
+ "epoch": 0.6301369863013698,
668
+ "grad_norm": 8.986040115356445,
669
+ "learning_rate": 2.3715068493150685e-05,
670
+ "loss": 0.9329,
671
+ "step": 4600
672
+ },
673
+ {
674
+ "epoch": 0.636986301369863,
675
+ "grad_norm": 6.278331756591797,
676
+ "learning_rate": 2.3646575342465754e-05,
677
+ "loss": 0.9002,
678
+ "step": 4650
679
+ },
680
+ {
681
+ "epoch": 0.6438356164383562,
682
+ "grad_norm": 5.5899434089660645,
683
+ "learning_rate": 2.3578082191780824e-05,
684
+ "loss": 0.8955,
685
+ "step": 4700
686
+ },
687
+ {
688
+ "epoch": 0.6506849315068494,
689
+ "grad_norm": 37.710784912109375,
690
+ "learning_rate": 2.3509589041095893e-05,
691
+ "loss": 0.9641,
692
+ "step": 4750
693
+ },
694
+ {
695
+ "epoch": 0.6575342465753424,
696
+ "grad_norm": 18.405412673950195,
697
+ "learning_rate": 2.344109589041096e-05,
698
+ "loss": 0.7766,
699
+ "step": 4800
700
+ },
701
+ {
702
+ "epoch": 0.6643835616438356,
703
+ "grad_norm": 18.17953872680664,
704
+ "learning_rate": 2.337260273972603e-05,
705
+ "loss": 1.0796,
706
+ "step": 4850
707
+ },
708
+ {
709
+ "epoch": 0.6712328767123288,
710
+ "grad_norm": 20.769283294677734,
711
+ "learning_rate": 2.3304109589041098e-05,
712
+ "loss": 0.9752,
713
+ "step": 4900
714
+ },
715
+ {
716
+ "epoch": 0.678082191780822,
717
+ "grad_norm": 19.938074111938477,
718
+ "learning_rate": 2.3235616438356168e-05,
719
+ "loss": 0.875,
720
+ "step": 4950
721
+ },
722
+ {
723
+ "epoch": 0.684931506849315,
724
+ "grad_norm": 26.178194046020508,
725
+ "learning_rate": 2.3167123287671234e-05,
726
+ "loss": 0.9007,
727
+ "step": 5000
728
+ },
729
+ {
730
+ "epoch": 0.6917808219178082,
731
+ "grad_norm": 21.135181427001953,
732
+ "learning_rate": 2.3098630136986303e-05,
733
+ "loss": 0.8955,
734
+ "step": 5050
735
+ },
736
+ {
737
+ "epoch": 0.6986301369863014,
738
+ "grad_norm": 24.87206268310547,
739
+ "learning_rate": 2.3030136986301373e-05,
740
+ "loss": 0.9886,
741
+ "step": 5100
742
+ },
743
+ {
744
+ "epoch": 0.7054794520547946,
745
+ "grad_norm": 16.213960647583008,
746
+ "learning_rate": 2.296164383561644e-05,
747
+ "loss": 1.0165,
748
+ "step": 5150
749
+ },
750
+ {
751
+ "epoch": 0.7123287671232876,
752
+ "grad_norm": 12.362586975097656,
753
+ "learning_rate": 2.2893150684931505e-05,
754
+ "loss": 1.0008,
755
+ "step": 5200
756
+ },
757
+ {
758
+ "epoch": 0.7191780821917808,
759
+ "grad_norm": 1259.0946044921875,
760
+ "learning_rate": 2.2824657534246574e-05,
761
+ "loss": 0.9962,
762
+ "step": 5250
763
+ },
764
+ {
765
+ "epoch": 0.726027397260274,
766
+ "grad_norm": 16.600799560546875,
767
+ "learning_rate": 2.2756164383561644e-05,
768
+ "loss": 0.8839,
769
+ "step": 5300
770
+ },
771
+ {
772
+ "epoch": 0.7328767123287672,
773
+ "grad_norm": 33.82933044433594,
774
+ "learning_rate": 2.2687671232876713e-05,
775
+ "loss": 0.9854,
776
+ "step": 5350
777
+ },
778
+ {
779
+ "epoch": 0.7397260273972602,
780
+ "grad_norm": 15.420291900634766,
781
+ "learning_rate": 2.261917808219178e-05,
782
+ "loss": 0.9803,
783
+ "step": 5400
784
+ },
785
+ {
786
+ "epoch": 0.7465753424657534,
787
+ "grad_norm": 32.19168472290039,
788
+ "learning_rate": 2.255068493150685e-05,
789
+ "loss": 0.9143,
790
+ "step": 5450
791
+ },
792
+ {
793
+ "epoch": 0.7534246575342466,
794
+ "grad_norm": 32.13875198364258,
795
+ "learning_rate": 2.248219178082192e-05,
796
+ "loss": 1.0092,
797
+ "step": 5500
798
+ },
799
+ {
800
+ "epoch": 0.7602739726027398,
801
+ "grad_norm": 12.64287281036377,
802
+ "learning_rate": 2.2413698630136988e-05,
803
+ "loss": 0.9426,
804
+ "step": 5550
805
+ },
806
+ {
807
+ "epoch": 0.7671232876712328,
808
+ "grad_norm": 12.699542999267578,
809
+ "learning_rate": 2.2345205479452054e-05,
810
+ "loss": 0.8253,
811
+ "step": 5600
812
+ },
813
+ {
814
+ "epoch": 0.773972602739726,
815
+ "grad_norm": 8.844592094421387,
816
+ "learning_rate": 2.2276712328767123e-05,
817
+ "loss": 0.8658,
818
+ "step": 5650
819
+ },
820
+ {
821
+ "epoch": 0.7808219178082192,
822
+ "grad_norm": 28.156341552734375,
823
+ "learning_rate": 2.2208219178082193e-05,
824
+ "loss": 0.9257,
825
+ "step": 5700
826
+ },
827
+ {
828
+ "epoch": 0.7876712328767124,
829
+ "grad_norm": 12.614666938781738,
830
+ "learning_rate": 2.2139726027397262e-05,
831
+ "loss": 0.8974,
832
+ "step": 5750
833
+ },
834
+ {
835
+ "epoch": 0.7945205479452054,
836
+ "grad_norm": 16.726621627807617,
837
+ "learning_rate": 2.207123287671233e-05,
838
+ "loss": 0.9291,
839
+ "step": 5800
840
+ },
841
+ {
842
+ "epoch": 0.8013698630136986,
843
+ "grad_norm": 10.39370346069336,
844
+ "learning_rate": 2.2002739726027398e-05,
845
+ "loss": 0.9179,
846
+ "step": 5850
847
+ },
848
+ {
849
+ "epoch": 0.8082191780821918,
850
+ "grad_norm": 21.894121170043945,
851
+ "learning_rate": 2.1934246575342467e-05,
852
+ "loss": 0.8794,
853
+ "step": 5900
854
+ },
855
+ {
856
+ "epoch": 0.815068493150685,
857
+ "grad_norm": 24.440290451049805,
858
+ "learning_rate": 2.1865753424657537e-05,
859
+ "loss": 0.8238,
860
+ "step": 5950
861
+ },
862
+ {
863
+ "epoch": 0.821917808219178,
864
+ "grad_norm": 12.202630996704102,
865
+ "learning_rate": 2.1797260273972603e-05,
866
+ "loss": 0.8661,
867
+ "step": 6000
868
+ },
869
+ {
870
+ "epoch": 0.821917808219178,
871
+ "eval_exact_match": 83.85052034058657,
872
+ "eval_f1": 90.9800111426571,
873
+ "eval_runtime": 373.5608,
874
+ "eval_samples_per_second": 28.295,
875
+ "eval_steps_per_second": 1.769,
876
+ "step": 6000
877
+ },
878
+ {
879
+ "epoch": 0.8287671232876712,
880
+ "grad_norm": 32.982906341552734,
881
+ "learning_rate": 2.1728767123287672e-05,
882
+ "loss": 0.8246,
883
+ "step": 6050
884
+ },
885
+ {
886
+ "epoch": 0.8356164383561644,
887
+ "grad_norm": 18.63083839416504,
888
+ "learning_rate": 2.1660273972602742e-05,
889
+ "loss": 0.7897,
890
+ "step": 6100
891
+ },
892
+ {
893
+ "epoch": 0.8424657534246576,
894
+ "grad_norm": 41.52643585205078,
895
+ "learning_rate": 2.159178082191781e-05,
896
+ "loss": 0.9554,
897
+ "step": 6150
898
+ },
899
+ {
900
+ "epoch": 0.8493150684931506,
901
+ "grad_norm": 7.247984409332275,
902
+ "learning_rate": 2.1523287671232877e-05,
903
+ "loss": 0.8986,
904
+ "step": 6200
905
+ },
906
+ {
907
+ "epoch": 0.8561643835616438,
908
+ "grad_norm": 35.788936614990234,
909
+ "learning_rate": 2.1454794520547947e-05,
910
+ "loss": 0.8827,
911
+ "step": 6250
912
+ },
913
+ {
914
+ "epoch": 0.863013698630137,
915
+ "grad_norm": 14.294588088989258,
916
+ "learning_rate": 2.1386301369863016e-05,
917
+ "loss": 0.8467,
918
+ "step": 6300
919
+ },
920
+ {
921
+ "epoch": 0.8698630136986302,
922
+ "grad_norm": 7.7929253578186035,
923
+ "learning_rate": 2.1317808219178086e-05,
924
+ "loss": 0.8478,
925
+ "step": 6350
926
+ },
927
+ {
928
+ "epoch": 0.8767123287671232,
929
+ "grad_norm": 22.97696876525879,
930
+ "learning_rate": 2.1249315068493152e-05,
931
+ "loss": 0.828,
932
+ "step": 6400
933
+ },
934
+ {
935
+ "epoch": 0.8835616438356164,
936
+ "grad_norm": 9.756913185119629,
937
+ "learning_rate": 2.1180821917808218e-05,
938
+ "loss": 0.8868,
939
+ "step": 6450
940
+ },
941
+ {
942
+ "epoch": 0.8904109589041096,
943
+ "grad_norm": 10.705896377563477,
944
+ "learning_rate": 2.1112328767123287e-05,
945
+ "loss": 0.8307,
946
+ "step": 6500
947
+ },
948
+ {
949
+ "epoch": 0.8972602739726028,
950
+ "grad_norm": 10.845613479614258,
951
+ "learning_rate": 2.1043835616438357e-05,
952
+ "loss": 0.7624,
953
+ "step": 6550
954
+ },
955
+ {
956
+ "epoch": 0.9041095890410958,
957
+ "grad_norm": 19.542699813842773,
958
+ "learning_rate": 2.0975342465753423e-05,
959
+ "loss": 0.8325,
960
+ "step": 6600
961
+ },
962
+ {
963
+ "epoch": 0.910958904109589,
964
+ "grad_norm": 13.544864654541016,
965
+ "learning_rate": 2.0906849315068493e-05,
966
+ "loss": 0.851,
967
+ "step": 6650
968
+ },
969
+ {
970
+ "epoch": 0.9178082191780822,
971
+ "grad_norm": 6.318390369415283,
972
+ "learning_rate": 2.0838356164383562e-05,
973
+ "loss": 0.8091,
974
+ "step": 6700
975
+ },
976
+ {
977
+ "epoch": 0.9246575342465754,
978
+ "grad_norm": 9.816180229187012,
979
+ "learning_rate": 2.076986301369863e-05,
980
+ "loss": 0.8832,
981
+ "step": 6750
982
+ },
983
+ {
984
+ "epoch": 0.9315068493150684,
985
+ "grad_norm": 15.709238052368164,
986
+ "learning_rate": 2.0701369863013698e-05,
987
+ "loss": 0.808,
988
+ "step": 6800
989
+ },
990
+ {
991
+ "epoch": 0.9383561643835616,
992
+ "grad_norm": 14.45374870300293,
993
+ "learning_rate": 2.0632876712328767e-05,
994
+ "loss": 0.8885,
995
+ "step": 6850
996
+ },
997
+ {
998
+ "epoch": 0.9452054794520548,
999
+ "grad_norm": 17.111806869506836,
1000
+ "learning_rate": 2.0564383561643836e-05,
1001
+ "loss": 0.7972,
1002
+ "step": 6900
1003
+ },
1004
+ {
1005
+ "epoch": 0.952054794520548,
1006
+ "grad_norm": 20.28083610534668,
1007
+ "learning_rate": 2.0495890410958906e-05,
1008
+ "loss": 0.8979,
1009
+ "step": 6950
1010
+ },
1011
+ {
1012
+ "epoch": 0.958904109589041,
1013
+ "grad_norm": 27.66487693786621,
1014
+ "learning_rate": 2.0427397260273972e-05,
1015
+ "loss": 0.8672,
1016
+ "step": 7000
1017
+ },
1018
+ {
1019
+ "epoch": 0.9657534246575342,
1020
+ "grad_norm": 12.894664764404297,
1021
+ "learning_rate": 2.035890410958904e-05,
1022
+ "loss": 0.9069,
1023
+ "step": 7050
1024
+ },
1025
+ {
1026
+ "epoch": 0.9726027397260274,
1027
+ "grad_norm": 30.51468849182129,
1028
+ "learning_rate": 2.029041095890411e-05,
1029
+ "loss": 0.8747,
1030
+ "step": 7100
1031
+ },
1032
+ {
1033
+ "epoch": 0.9794520547945206,
1034
+ "grad_norm": 39.097129821777344,
1035
+ "learning_rate": 2.022191780821918e-05,
1036
+ "loss": 0.8729,
1037
+ "step": 7150
1038
+ },
1039
+ {
1040
+ "epoch": 0.9863013698630136,
1041
+ "grad_norm": 32.58139419555664,
1042
+ "learning_rate": 2.0153424657534247e-05,
1043
+ "loss": 0.8815,
1044
+ "step": 7200
1045
+ },
1046
+ {
1047
+ "epoch": 0.9931506849315068,
1048
+ "grad_norm": 56.9384651184082,
1049
+ "learning_rate": 2.0084931506849316e-05,
1050
+ "loss": 0.8372,
1051
+ "step": 7250
1052
+ },
1053
+ {
1054
+ "epoch": 1.0,
1055
+ "grad_norm": 41.42207717895508,
1056
+ "learning_rate": 2.0016438356164386e-05,
1057
+ "loss": 0.7201,
1058
+ "step": 7300
1059
+ },
1060
+ {
1061
+ "epoch": 1.0068493150684932,
1062
+ "grad_norm": 12.120720863342285,
1063
+ "learning_rate": 1.9947945205479455e-05,
1064
+ "loss": 0.6208,
1065
+ "step": 7350
1066
+ },
1067
+ {
1068
+ "epoch": 1.0136986301369864,
1069
+ "grad_norm": 13.257436752319336,
1070
+ "learning_rate": 1.987945205479452e-05,
1071
+ "loss": 0.6044,
1072
+ "step": 7400
1073
+ },
1074
+ {
1075
+ "epoch": 1.0205479452054795,
1076
+ "grad_norm": 13.67995548248291,
1077
+ "learning_rate": 1.981095890410959e-05,
1078
+ "loss": 0.6329,
1079
+ "step": 7450
1080
+ },
1081
+ {
1082
+ "epoch": 1.0273972602739727,
1083
+ "grad_norm": 9.850571632385254,
1084
+ "learning_rate": 1.974246575342466e-05,
1085
+ "loss": 0.6957,
1086
+ "step": 7500
1087
+ },
1088
+ {
1089
+ "epoch": 1.0342465753424657,
1090
+ "grad_norm": 10.688873291015625,
1091
+ "learning_rate": 1.9673972602739726e-05,
1092
+ "loss": 0.6464,
1093
+ "step": 7550
1094
+ },
1095
+ {
1096
+ "epoch": 1.0410958904109588,
1097
+ "grad_norm": 8.531394004821777,
1098
+ "learning_rate": 1.9605479452054796e-05,
1099
+ "loss": 0.6109,
1100
+ "step": 7600
1101
+ },
1102
+ {
1103
+ "epoch": 1.047945205479452,
1104
+ "grad_norm": 10.75566577911377,
1105
+ "learning_rate": 1.9536986301369865e-05,
1106
+ "loss": 0.6616,
1107
+ "step": 7650
1108
+ },
1109
+ {
1110
+ "epoch": 1.0547945205479452,
1111
+ "grad_norm": 8.011566162109375,
1112
+ "learning_rate": 1.9468493150684935e-05,
1113
+ "loss": 0.5976,
1114
+ "step": 7700
1115
+ },
1116
+ {
1117
+ "epoch": 1.0616438356164384,
1118
+ "grad_norm": 20.438060760498047,
1119
+ "learning_rate": 1.9399999999999997e-05,
1120
+ "loss": 0.6787,
1121
+ "step": 7750
1122
+ },
1123
+ {
1124
+ "epoch": 1.0684931506849316,
1125
+ "grad_norm": 7.955737113952637,
1126
+ "learning_rate": 1.9331506849315067e-05,
1127
+ "loss": 0.5945,
1128
+ "step": 7800
1129
+ },
1130
+ {
1131
+ "epoch": 1.0753424657534247,
1132
+ "grad_norm": 11.127422332763672,
1133
+ "learning_rate": 1.9263013698630136e-05,
1134
+ "loss": 0.6308,
1135
+ "step": 7850
1136
+ },
1137
+ {
1138
+ "epoch": 1.0821917808219177,
1139
+ "grad_norm": 38.58836364746094,
1140
+ "learning_rate": 1.9194520547945206e-05,
1141
+ "loss": 0.6206,
1142
+ "step": 7900
1143
+ },
1144
+ {
1145
+ "epoch": 1.0890410958904109,
1146
+ "grad_norm": 32.406192779541016,
1147
+ "learning_rate": 1.9126027397260272e-05,
1148
+ "loss": 0.701,
1149
+ "step": 7950
1150
+ },
1151
+ {
1152
+ "epoch": 1.095890410958904,
1153
+ "grad_norm": 10.007853507995605,
1154
+ "learning_rate": 1.905753424657534e-05,
1155
+ "loss": 0.5769,
1156
+ "step": 8000
1157
+ },
1158
+ {
1159
+ "epoch": 1.095890410958904,
1160
+ "eval_exact_match": 85.44938505203406,
1161
+ "eval_f1": 92.14833349343365,
1162
+ "eval_runtime": 374.398,
1163
+ "eval_samples_per_second": 28.232,
1164
+ "eval_steps_per_second": 1.766,
1165
+ "step": 8000
1166
+ },
1167
+ {
1168
+ "epoch": 1.1027397260273972,
1169
+ "grad_norm": 28.756309509277344,
1170
+ "learning_rate": 1.898904109589041e-05,
1171
+ "loss": 0.6004,
1172
+ "step": 8050
1173
+ },
1174
+ {
1175
+ "epoch": 1.1095890410958904,
1176
+ "grad_norm": 7.047467231750488,
1177
+ "learning_rate": 1.892054794520548e-05,
1178
+ "loss": 0.6181,
1179
+ "step": 8100
1180
+ },
1181
+ {
1182
+ "epoch": 1.1164383561643836,
1183
+ "grad_norm": 8.658169746398926,
1184
+ "learning_rate": 1.8852054794520546e-05,
1185
+ "loss": 0.7291,
1186
+ "step": 8150
1187
+ },
1188
+ {
1189
+ "epoch": 1.1232876712328768,
1190
+ "grad_norm": 13.879542350769043,
1191
+ "learning_rate": 1.8783561643835616e-05,
1192
+ "loss": 0.6838,
1193
+ "step": 8200
1194
+ },
1195
+ {
1196
+ "epoch": 1.13013698630137,
1197
+ "grad_norm": 22.860614776611328,
1198
+ "learning_rate": 1.8715068493150685e-05,
1199
+ "loss": 0.608,
1200
+ "step": 8250
1201
+ },
1202
+ {
1203
+ "epoch": 1.1369863013698631,
1204
+ "grad_norm": 16.130298614501953,
1205
+ "learning_rate": 1.8646575342465755e-05,
1206
+ "loss": 0.6373,
1207
+ "step": 8300
1208
+ },
1209
+ {
1210
+ "epoch": 1.143835616438356,
1211
+ "grad_norm": 10.36241340637207,
1212
+ "learning_rate": 1.857808219178082e-05,
1213
+ "loss": 0.5687,
1214
+ "step": 8350
1215
+ },
1216
+ {
1217
+ "epoch": 1.1506849315068493,
1218
+ "grad_norm": 16.204782485961914,
1219
+ "learning_rate": 1.850958904109589e-05,
1220
+ "loss": 0.5777,
1221
+ "step": 8400
1222
+ },
1223
+ {
1224
+ "epoch": 1.1575342465753424,
1225
+ "grad_norm": 12.540966033935547,
1226
+ "learning_rate": 1.844109589041096e-05,
1227
+ "loss": 0.6184,
1228
+ "step": 8450
1229
+ },
1230
+ {
1231
+ "epoch": 1.1643835616438356,
1232
+ "grad_norm": 10.892577171325684,
1233
+ "learning_rate": 1.837260273972603e-05,
1234
+ "loss": 0.5981,
1235
+ "step": 8500
1236
+ },
1237
+ {
1238
+ "epoch": 1.1712328767123288,
1239
+ "grad_norm": 35.12110137939453,
1240
+ "learning_rate": 1.8304109589041095e-05,
1241
+ "loss": 0.6206,
1242
+ "step": 8550
1243
+ },
1244
+ {
1245
+ "epoch": 1.178082191780822,
1246
+ "grad_norm": 59.20553970336914,
1247
+ "learning_rate": 1.8235616438356165e-05,
1248
+ "loss": 0.6139,
1249
+ "step": 8600
1250
+ },
1251
+ {
1252
+ "epoch": 1.1849315068493151,
1253
+ "grad_norm": 10.697203636169434,
1254
+ "learning_rate": 1.8167123287671234e-05,
1255
+ "loss": 0.6646,
1256
+ "step": 8650
1257
+ },
1258
+ {
1259
+ "epoch": 1.191780821917808,
1260
+ "grad_norm": 14.472150802612305,
1261
+ "learning_rate": 1.8098630136986304e-05,
1262
+ "loss": 0.6595,
1263
+ "step": 8700
1264
+ },
1265
+ {
1266
+ "epoch": 1.1986301369863013,
1267
+ "grad_norm": 72.91890716552734,
1268
+ "learning_rate": 1.803013698630137e-05,
1269
+ "loss": 0.6285,
1270
+ "step": 8750
1271
+ },
1272
+ {
1273
+ "epoch": 1.2054794520547945,
1274
+ "grad_norm": 17.10064697265625,
1275
+ "learning_rate": 1.796164383561644e-05,
1276
+ "loss": 0.6663,
1277
+ "step": 8800
1278
+ },
1279
+ {
1280
+ "epoch": 1.2123287671232876,
1281
+ "grad_norm": 20.469289779663086,
1282
+ "learning_rate": 1.789315068493151e-05,
1283
+ "loss": 0.7494,
1284
+ "step": 8850
1285
+ },
1286
+ {
1287
+ "epoch": 1.2191780821917808,
1288
+ "grad_norm": 26.936960220336914,
1289
+ "learning_rate": 1.7824657534246578e-05,
1290
+ "loss": 0.709,
1291
+ "step": 8900
1292
+ },
1293
+ {
1294
+ "epoch": 1.226027397260274,
1295
+ "grad_norm": 46.11455535888672,
1296
+ "learning_rate": 1.7756164383561644e-05,
1297
+ "loss": 0.7078,
1298
+ "step": 8950
1299
+ },
1300
+ {
1301
+ "epoch": 1.2328767123287672,
1302
+ "grad_norm": 19.011287689208984,
1303
+ "learning_rate": 1.7687671232876714e-05,
1304
+ "loss": 0.6223,
1305
+ "step": 9000
1306
+ },
1307
+ {
1308
+ "epoch": 1.2397260273972603,
1309
+ "grad_norm": 14.254953384399414,
1310
+ "learning_rate": 1.7620547945205482e-05,
1311
+ "loss": 0.7151,
1312
+ "step": 9050
1313
+ },
1314
+ {
1315
+ "epoch": 1.2465753424657535,
1316
+ "grad_norm": 13.175114631652832,
1317
+ "learning_rate": 1.7552054794520545e-05,
1318
+ "loss": 0.6855,
1319
+ "step": 9100
1320
+ },
1321
+ {
1322
+ "epoch": 1.2534246575342465,
1323
+ "grad_norm": 7.520362854003906,
1324
+ "learning_rate": 1.7483561643835615e-05,
1325
+ "loss": 0.6629,
1326
+ "step": 9150
1327
+ },
1328
+ {
1329
+ "epoch": 1.2602739726027397,
1330
+ "grad_norm": 12.215356826782227,
1331
+ "learning_rate": 1.7415068493150684e-05,
1332
+ "loss": 0.5965,
1333
+ "step": 9200
1334
+ },
1335
+ {
1336
+ "epoch": 1.2671232876712328,
1337
+ "grad_norm": 12.193058013916016,
1338
+ "learning_rate": 1.7346575342465754e-05,
1339
+ "loss": 0.6565,
1340
+ "step": 9250
1341
+ },
1342
+ {
1343
+ "epoch": 1.273972602739726,
1344
+ "grad_norm": 32.37642288208008,
1345
+ "learning_rate": 1.727808219178082e-05,
1346
+ "loss": 0.5647,
1347
+ "step": 9300
1348
+ },
1349
+ {
1350
+ "epoch": 1.2808219178082192,
1351
+ "grad_norm": 31.779830932617188,
1352
+ "learning_rate": 1.720958904109589e-05,
1353
+ "loss": 0.6011,
1354
+ "step": 9350
1355
+ },
1356
+ {
1357
+ "epoch": 1.2876712328767124,
1358
+ "grad_norm": 21.49200439453125,
1359
+ "learning_rate": 1.714109589041096e-05,
1360
+ "loss": 0.6918,
1361
+ "step": 9400
1362
+ },
1363
+ {
1364
+ "epoch": 1.2945205479452055,
1365
+ "grad_norm": 5.468780517578125,
1366
+ "learning_rate": 1.7072602739726028e-05,
1367
+ "loss": 0.5157,
1368
+ "step": 9450
1369
+ },
1370
+ {
1371
+ "epoch": 1.3013698630136985,
1372
+ "grad_norm": 28.108797073364258,
1373
+ "learning_rate": 1.7004109589041094e-05,
1374
+ "loss": 0.6383,
1375
+ "step": 9500
1376
+ },
1377
+ {
1378
+ "epoch": 1.308219178082192,
1379
+ "grad_norm": 23.633098602294922,
1380
+ "learning_rate": 1.6935616438356164e-05,
1381
+ "loss": 0.6621,
1382
+ "step": 9550
1383
+ },
1384
+ {
1385
+ "epoch": 1.3150684931506849,
1386
+ "grad_norm": 22.421751022338867,
1387
+ "learning_rate": 1.6867123287671233e-05,
1388
+ "loss": 0.5817,
1389
+ "step": 9600
1390
+ },
1391
+ {
1392
+ "epoch": 1.321917808219178,
1393
+ "grad_norm": 15.235234260559082,
1394
+ "learning_rate": 1.6798630136986303e-05,
1395
+ "loss": 0.6597,
1396
+ "step": 9650
1397
+ },
1398
+ {
1399
+ "epoch": 1.3287671232876712,
1400
+ "grad_norm": 35.48225402832031,
1401
+ "learning_rate": 1.673013698630137e-05,
1402
+ "loss": 0.579,
1403
+ "step": 9700
1404
+ },
1405
+ {
1406
+ "epoch": 1.3356164383561644,
1407
+ "grad_norm": 15.125396728515625,
1408
+ "learning_rate": 1.6661643835616438e-05,
1409
+ "loss": 0.6055,
1410
+ "step": 9750
1411
+ },
1412
+ {
1413
+ "epoch": 1.3424657534246576,
1414
+ "grad_norm": 18.926666259765625,
1415
+ "learning_rate": 1.6593150684931508e-05,
1416
+ "loss": 0.6323,
1417
+ "step": 9800
1418
+ },
1419
+ {
1420
+ "epoch": 1.3493150684931507,
1421
+ "grad_norm": 8.361820220947266,
1422
+ "learning_rate": 1.6524657534246577e-05,
1423
+ "loss": 0.6317,
1424
+ "step": 9850
1425
+ },
1426
+ {
1427
+ "epoch": 1.356164383561644,
1428
+ "grad_norm": 26.376338958740234,
1429
+ "learning_rate": 1.6456164383561643e-05,
1430
+ "loss": 0.5951,
1431
+ "step": 9900
1432
+ },
1433
+ {
1434
+ "epoch": 1.3630136986301369,
1435
+ "grad_norm": 27.7407169342041,
1436
+ "learning_rate": 1.6387671232876713e-05,
1437
+ "loss": 0.6338,
1438
+ "step": 9950
1439
+ },
1440
+ {
1441
+ "epoch": 1.36986301369863,
1442
+ "grad_norm": 26.390640258789062,
1443
+ "learning_rate": 1.6319178082191782e-05,
1444
+ "loss": 0.6335,
1445
+ "step": 10000
1446
+ },
1447
+ {
1448
+ "epoch": 1.36986301369863,
1449
+ "eval_exact_match": 84.70198675496688,
1450
+ "eval_f1": 91.62789345682066,
1451
+ "eval_runtime": 374.2131,
1452
+ "eval_samples_per_second": 28.246,
1453
+ "eval_steps_per_second": 1.766,
1454
+ "step": 10000
1455
+ },
1456
+ {
1457
+ "epoch": 1.3767123287671232,
1458
+ "grad_norm": 5.783433437347412,
1459
+ "learning_rate": 1.625068493150685e-05,
1460
+ "loss": 0.6771,
1461
+ "step": 10050
1462
+ },
1463
+ {
1464
+ "epoch": 1.3835616438356164,
1465
+ "grad_norm": 9.566642761230469,
1466
+ "learning_rate": 1.6182191780821918e-05,
1467
+ "loss": 0.498,
1468
+ "step": 10100
1469
+ },
1470
+ {
1471
+ "epoch": 1.3904109589041096,
1472
+ "grad_norm": 9.79062271118164,
1473
+ "learning_rate": 1.6113698630136987e-05,
1474
+ "loss": 0.6378,
1475
+ "step": 10150
1476
+ },
1477
+ {
1478
+ "epoch": 1.3972602739726028,
1479
+ "grad_norm": 12.324602127075195,
1480
+ "learning_rate": 1.6045205479452057e-05,
1481
+ "loss": 0.5836,
1482
+ "step": 10200
1483
+ },
1484
+ {
1485
+ "epoch": 1.404109589041096,
1486
+ "grad_norm": 20.825387954711914,
1487
+ "learning_rate": 1.5976712328767126e-05,
1488
+ "loss": 0.5341,
1489
+ "step": 10250
1490
+ },
1491
+ {
1492
+ "epoch": 1.410958904109589,
1493
+ "grad_norm": 5.5393829345703125,
1494
+ "learning_rate": 1.5908219178082192e-05,
1495
+ "loss": 0.4899,
1496
+ "step": 10300
1497
+ },
1498
+ {
1499
+ "epoch": 1.4178082191780823,
1500
+ "grad_norm": 16.400829315185547,
1501
+ "learning_rate": 1.5839726027397258e-05,
1502
+ "loss": 0.7078,
1503
+ "step": 10350
1504
+ },
1505
+ {
1506
+ "epoch": 1.4246575342465753,
1507
+ "grad_norm": 4.527399063110352,
1508
+ "learning_rate": 1.5771232876712328e-05,
1509
+ "loss": 0.6155,
1510
+ "step": 10400
1511
+ },
1512
+ {
1513
+ "epoch": 1.4315068493150684,
1514
+ "grad_norm": 27.31574058532715,
1515
+ "learning_rate": 1.5702739726027397e-05,
1516
+ "loss": 0.6125,
1517
+ "step": 10450
1518
+ },
1519
+ {
1520
+ "epoch": 1.4383561643835616,
1521
+ "grad_norm": 10.297114372253418,
1522
+ "learning_rate": 1.5634246575342463e-05,
1523
+ "loss": 0.6478,
1524
+ "step": 10500
1525
+ },
1526
+ {
1527
+ "epoch": 1.4452054794520548,
1528
+ "grad_norm": 15.242220878601074,
1529
+ "learning_rate": 1.5565753424657533e-05,
1530
+ "loss": 0.5599,
1531
+ "step": 10550
1532
+ },
1533
+ {
1534
+ "epoch": 1.452054794520548,
1535
+ "grad_norm": 16.776491165161133,
1536
+ "learning_rate": 1.5497260273972602e-05,
1537
+ "loss": 0.6219,
1538
+ "step": 10600
1539
+ },
1540
+ {
1541
+ "epoch": 1.4589041095890412,
1542
+ "grad_norm": 37.072898864746094,
1543
+ "learning_rate": 1.5428767123287672e-05,
1544
+ "loss": 0.693,
1545
+ "step": 10650
1546
+ },
1547
+ {
1548
+ "epoch": 1.4657534246575343,
1549
+ "grad_norm": 14.27625560760498,
1550
+ "learning_rate": 1.5360273972602738e-05,
1551
+ "loss": 0.6377,
1552
+ "step": 10700
1553
+ },
1554
+ {
1555
+ "epoch": 1.4726027397260273,
1556
+ "grad_norm": 88.88594055175781,
1557
+ "learning_rate": 1.5291780821917807e-05,
1558
+ "loss": 0.5319,
1559
+ "step": 10750
1560
+ },
1561
+ {
1562
+ "epoch": 1.4794520547945205,
1563
+ "grad_norm": 32.19773483276367,
1564
+ "learning_rate": 1.5223287671232877e-05,
1565
+ "loss": 0.6918,
1566
+ "step": 10800
1567
+ },
1568
+ {
1569
+ "epoch": 1.4863013698630136,
1570
+ "grad_norm": 11.865937232971191,
1571
+ "learning_rate": 1.5154794520547946e-05,
1572
+ "loss": 0.5923,
1573
+ "step": 10850
1574
+ },
1575
+ {
1576
+ "epoch": 1.4931506849315068,
1577
+ "grad_norm": 7.134413719177246,
1578
+ "learning_rate": 1.5086301369863012e-05,
1579
+ "loss": 0.639,
1580
+ "step": 10900
1581
+ },
1582
+ {
1583
+ "epoch": 1.5,
1584
+ "grad_norm": 23.235034942626953,
1585
+ "learning_rate": 1.5017808219178082e-05,
1586
+ "loss": 0.5687,
1587
+ "step": 10950
1588
+ },
1589
+ {
1590
+ "epoch": 1.5068493150684932,
1591
+ "grad_norm": 9.480228424072266,
1592
+ "learning_rate": 1.4949315068493151e-05,
1593
+ "loss": 0.6373,
1594
+ "step": 11000
1595
+ },
1596
+ {
1597
+ "epoch": 1.5136986301369864,
1598
+ "grad_norm": 14.618119239807129,
1599
+ "learning_rate": 1.4880821917808219e-05,
1600
+ "loss": 0.6153,
1601
+ "step": 11050
1602
+ },
1603
+ {
1604
+ "epoch": 1.5205479452054793,
1605
+ "grad_norm": 17.39520263671875,
1606
+ "learning_rate": 1.4812328767123289e-05,
1607
+ "loss": 0.6147,
1608
+ "step": 11100
1609
+ },
1610
+ {
1611
+ "epoch": 1.5273972602739727,
1612
+ "grad_norm": 18.27179527282715,
1613
+ "learning_rate": 1.4743835616438356e-05,
1614
+ "loss": 0.638,
1615
+ "step": 11150
1616
+ },
1617
+ {
1618
+ "epoch": 1.5342465753424657,
1619
+ "grad_norm": 29.771127700805664,
1620
+ "learning_rate": 1.4675342465753426e-05,
1621
+ "loss": 0.5823,
1622
+ "step": 11200
1623
+ },
1624
+ {
1625
+ "epoch": 1.541095890410959,
1626
+ "grad_norm": 10.72756290435791,
1627
+ "learning_rate": 1.4606849315068494e-05,
1628
+ "loss": 0.6456,
1629
+ "step": 11250
1630
+ },
1631
+ {
1632
+ "epoch": 1.547945205479452,
1633
+ "grad_norm": 7.729266166687012,
1634
+ "learning_rate": 1.4538356164383563e-05,
1635
+ "loss": 0.5763,
1636
+ "step": 11300
1637
+ },
1638
+ {
1639
+ "epoch": 1.5547945205479452,
1640
+ "grad_norm": 10.376163482666016,
1641
+ "learning_rate": 1.4469863013698629e-05,
1642
+ "loss": 0.6476,
1643
+ "step": 11350
1644
+ },
1645
+ {
1646
+ "epoch": 1.5616438356164384,
1647
+ "grad_norm": 24.55621337890625,
1648
+ "learning_rate": 1.4401369863013699e-05,
1649
+ "loss": 0.694,
1650
+ "step": 11400
1651
+ },
1652
+ {
1653
+ "epoch": 1.5684931506849316,
1654
+ "grad_norm": 27.07891845703125,
1655
+ "learning_rate": 1.4332876712328766e-05,
1656
+ "loss": 0.6128,
1657
+ "step": 11450
1658
+ },
1659
+ {
1660
+ "epoch": 1.5753424657534247,
1661
+ "grad_norm": 11.695100784301758,
1662
+ "learning_rate": 1.4264383561643836e-05,
1663
+ "loss": 0.5408,
1664
+ "step": 11500
1665
+ },
1666
+ {
1667
+ "epoch": 1.5821917808219177,
1668
+ "grad_norm": 9.359724998474121,
1669
+ "learning_rate": 1.4195890410958904e-05,
1670
+ "loss": 0.6425,
1671
+ "step": 11550
1672
+ },
1673
+ {
1674
+ "epoch": 1.589041095890411,
1675
+ "grad_norm": 5.442782878875732,
1676
+ "learning_rate": 1.4127397260273973e-05,
1677
+ "loss": 0.6208,
1678
+ "step": 11600
1679
+ },
1680
+ {
1681
+ "epoch": 1.595890410958904,
1682
+ "grad_norm": 12.379018783569336,
1683
+ "learning_rate": 1.4058904109589041e-05,
1684
+ "loss": 0.6293,
1685
+ "step": 11650
1686
+ },
1687
+ {
1688
+ "epoch": 1.6027397260273972,
1689
+ "grad_norm": 7.264742851257324,
1690
+ "learning_rate": 1.399041095890411e-05,
1691
+ "loss": 0.5549,
1692
+ "step": 11700
1693
+ },
1694
+ {
1695
+ "epoch": 1.6095890410958904,
1696
+ "grad_norm": 9.013050079345703,
1697
+ "learning_rate": 1.3921917808219178e-05,
1698
+ "loss": 0.6517,
1699
+ "step": 11750
1700
+ },
1701
+ {
1702
+ "epoch": 1.6164383561643836,
1703
+ "grad_norm": 8.451722145080566,
1704
+ "learning_rate": 1.3853424657534248e-05,
1705
+ "loss": 0.6393,
1706
+ "step": 11800
1707
+ },
1708
+ {
1709
+ "epoch": 1.6232876712328768,
1710
+ "grad_norm": 28.516525268554688,
1711
+ "learning_rate": 1.3784931506849315e-05,
1712
+ "loss": 0.5393,
1713
+ "step": 11850
1714
+ },
1715
+ {
1716
+ "epoch": 1.6301369863013697,
1717
+ "grad_norm": 12.159906387329102,
1718
+ "learning_rate": 1.3716438356164385e-05,
1719
+ "loss": 0.5287,
1720
+ "step": 11900
1721
+ },
1722
+ {
1723
+ "epoch": 1.6369863013698631,
1724
+ "grad_norm": 12.206666946411133,
1725
+ "learning_rate": 1.3647945205479453e-05,
1726
+ "loss": 0.5779,
1727
+ "step": 11950
1728
+ },
1729
+ {
1730
+ "epoch": 1.643835616438356,
1731
+ "grad_norm": 11.194659233093262,
1732
+ "learning_rate": 1.357945205479452e-05,
1733
+ "loss": 0.5891,
1734
+ "step": 12000
1735
+ },
1736
+ {
1737
+ "epoch": 1.643835616438356,
1738
+ "eval_exact_match": 86.26300851466415,
1739
+ "eval_f1": 92.63117973024548,
1740
+ "eval_runtime": 373.981,
1741
+ "eval_samples_per_second": 28.263,
1742
+ "eval_steps_per_second": 1.767,
1743
+ "step": 12000
1744
+ },
1745
+ {
1746
+ "epoch": 1.6506849315068495,
1747
+ "grad_norm": 9.522333145141602,
1748
+ "learning_rate": 1.3510958904109588e-05,
1749
+ "loss": 0.5278,
1750
+ "step": 12050
1751
+ },
1752
+ {
1753
+ "epoch": 1.6575342465753424,
1754
+ "grad_norm": 6.968531608581543,
1755
+ "learning_rate": 1.3442465753424658e-05,
1756
+ "loss": 0.6286,
1757
+ "step": 12100
1758
+ },
1759
+ {
1760
+ "epoch": 1.6643835616438356,
1761
+ "grad_norm": 14.288814544677734,
1762
+ "learning_rate": 1.3373972602739725e-05,
1763
+ "loss": 0.6047,
1764
+ "step": 12150
1765
+ },
1766
+ {
1767
+ "epoch": 1.6712328767123288,
1768
+ "grad_norm": 9.370450019836426,
1769
+ "learning_rate": 1.3305479452054795e-05,
1770
+ "loss": 0.6241,
1771
+ "step": 12200
1772
+ },
1773
+ {
1774
+ "epoch": 1.678082191780822,
1775
+ "grad_norm": 15.267229080200195,
1776
+ "learning_rate": 1.3236986301369863e-05,
1777
+ "loss": 0.6022,
1778
+ "step": 12250
1779
+ },
1780
+ {
1781
+ "epoch": 1.6849315068493151,
1782
+ "grad_norm": 4.616830348968506,
1783
+ "learning_rate": 1.3168493150684932e-05,
1784
+ "loss": 0.556,
1785
+ "step": 12300
1786
+ },
1787
+ {
1788
+ "epoch": 1.691780821917808,
1789
+ "grad_norm": 34.63910675048828,
1790
+ "learning_rate": 1.31e-05,
1791
+ "loss": 0.6593,
1792
+ "step": 12350
1793
+ },
1794
+ {
1795
+ "epoch": 1.6986301369863015,
1796
+ "grad_norm": 38.46183776855469,
1797
+ "learning_rate": 1.303150684931507e-05,
1798
+ "loss": 0.6686,
1799
+ "step": 12400
1800
+ },
1801
+ {
1802
+ "epoch": 1.7054794520547945,
1803
+ "grad_norm": 8.761494636535645,
1804
+ "learning_rate": 1.2963013698630137e-05,
1805
+ "loss": 0.6229,
1806
+ "step": 12450
1807
+ },
1808
+ {
1809
+ "epoch": 1.7123287671232876,
1810
+ "grad_norm": 8.143457412719727,
1811
+ "learning_rate": 1.2894520547945207e-05,
1812
+ "loss": 0.5573,
1813
+ "step": 12500
1814
+ },
1815
+ {
1816
+ "epoch": 1.7191780821917808,
1817
+ "grad_norm": 9.30538272857666,
1818
+ "learning_rate": 1.2826027397260274e-05,
1819
+ "loss": 0.5749,
1820
+ "step": 12550
1821
+ },
1822
+ {
1823
+ "epoch": 1.726027397260274,
1824
+ "grad_norm": 23.49202537536621,
1825
+ "learning_rate": 1.2757534246575342e-05,
1826
+ "loss": 0.4989,
1827
+ "step": 12600
1828
+ },
1829
+ {
1830
+ "epoch": 1.7328767123287672,
1831
+ "grad_norm": 64.99909210205078,
1832
+ "learning_rate": 1.268904109589041e-05,
1833
+ "loss": 0.5611,
1834
+ "step": 12650
1835
+ },
1836
+ {
1837
+ "epoch": 1.7397260273972601,
1838
+ "grad_norm": 8.76978588104248,
1839
+ "learning_rate": 1.262054794520548e-05,
1840
+ "loss": 0.5026,
1841
+ "step": 12700
1842
+ },
1843
+ {
1844
+ "epoch": 1.7465753424657535,
1845
+ "grad_norm": 18.690654754638672,
1846
+ "learning_rate": 1.2552054794520547e-05,
1847
+ "loss": 0.5583,
1848
+ "step": 12750
1849
+ },
1850
+ {
1851
+ "epoch": 1.7534246575342465,
1852
+ "grad_norm": 13.614333152770996,
1853
+ "learning_rate": 1.2483561643835617e-05,
1854
+ "loss": 0.664,
1855
+ "step": 12800
1856
+ },
1857
+ {
1858
+ "epoch": 1.7602739726027399,
1859
+ "grad_norm": 4.357183933258057,
1860
+ "learning_rate": 1.2415068493150685e-05,
1861
+ "loss": 0.5702,
1862
+ "step": 12850
1863
+ },
1864
+ {
1865
+ "epoch": 1.7671232876712328,
1866
+ "grad_norm": 17.687780380249023,
1867
+ "learning_rate": 1.2346575342465754e-05,
1868
+ "loss": 0.5633,
1869
+ "step": 12900
1870
+ },
1871
+ {
1872
+ "epoch": 1.773972602739726,
1873
+ "grad_norm": 18.73659896850586,
1874
+ "learning_rate": 1.2278082191780822e-05,
1875
+ "loss": 0.5673,
1876
+ "step": 12950
1877
+ },
1878
+ {
1879
+ "epoch": 1.7808219178082192,
1880
+ "grad_norm": 26.50644874572754,
1881
+ "learning_rate": 1.2209589041095891e-05,
1882
+ "loss": 0.6397,
1883
+ "step": 13000
1884
+ },
1885
+ {
1886
+ "epoch": 1.7876712328767124,
1887
+ "grad_norm": 18.648330688476562,
1888
+ "learning_rate": 1.2141095890410959e-05,
1889
+ "loss": 0.623,
1890
+ "step": 13050
1891
+ },
1892
+ {
1893
+ "epoch": 1.7945205479452055,
1894
+ "grad_norm": 9.746988296508789,
1895
+ "learning_rate": 1.2072602739726028e-05,
1896
+ "loss": 0.605,
1897
+ "step": 13100
1898
+ },
1899
+ {
1900
+ "epoch": 1.8013698630136985,
1901
+ "grad_norm": 18.111595153808594,
1902
+ "learning_rate": 1.2004109589041096e-05,
1903
+ "loss": 0.6267,
1904
+ "step": 13150
1905
+ },
1906
+ {
1907
+ "epoch": 1.808219178082192,
1908
+ "grad_norm": 4.0696120262146,
1909
+ "learning_rate": 1.1935616438356166e-05,
1910
+ "loss": 0.5834,
1911
+ "step": 13200
1912
+ },
1913
+ {
1914
+ "epoch": 1.8150684931506849,
1915
+ "grad_norm": 6.453619480133057,
1916
+ "learning_rate": 1.1867123287671232e-05,
1917
+ "loss": 0.5391,
1918
+ "step": 13250
1919
+ },
1920
+ {
1921
+ "epoch": 1.821917808219178,
1922
+ "grad_norm": 13.60524845123291,
1923
+ "learning_rate": 1.1798630136986301e-05,
1924
+ "loss": 0.5457,
1925
+ "step": 13300
1926
+ },
1927
+ {
1928
+ "epoch": 1.8287671232876712,
1929
+ "grad_norm": 15.015334129333496,
1930
+ "learning_rate": 1.1730136986301369e-05,
1931
+ "loss": 0.5734,
1932
+ "step": 13350
1933
+ },
1934
+ {
1935
+ "epoch": 1.8356164383561644,
1936
+ "grad_norm": 37.3073844909668,
1937
+ "learning_rate": 1.1661643835616439e-05,
1938
+ "loss": 0.6094,
1939
+ "step": 13400
1940
+ },
1941
+ {
1942
+ "epoch": 1.8424657534246576,
1943
+ "grad_norm": 18.685808181762695,
1944
+ "learning_rate": 1.1593150684931506e-05,
1945
+ "loss": 0.5903,
1946
+ "step": 13450
1947
+ },
1948
+ {
1949
+ "epoch": 1.8493150684931505,
1950
+ "grad_norm": 14.505097389221191,
1951
+ "learning_rate": 1.1524657534246576e-05,
1952
+ "loss": 0.6347,
1953
+ "step": 13500
1954
+ },
1955
+ {
1956
+ "epoch": 1.856164383561644,
1957
+ "grad_norm": 9.019182205200195,
1958
+ "learning_rate": 1.1456164383561644e-05,
1959
+ "loss": 0.6303,
1960
+ "step": 13550
1961
+ },
1962
+ {
1963
+ "epoch": 1.8630136986301369,
1964
+ "grad_norm": 10.008683204650879,
1965
+ "learning_rate": 1.1387671232876713e-05,
1966
+ "loss": 0.6534,
1967
+ "step": 13600
1968
+ },
1969
+ {
1970
+ "epoch": 1.8698630136986303,
1971
+ "grad_norm": 41.62886047363281,
1972
+ "learning_rate": 1.131917808219178e-05,
1973
+ "loss": 0.6067,
1974
+ "step": 13650
1975
+ },
1976
+ {
1977
+ "epoch": 1.8767123287671232,
1978
+ "grad_norm": 16.496919631958008,
1979
+ "learning_rate": 1.125068493150685e-05,
1980
+ "loss": 0.6346,
1981
+ "step": 13700
1982
+ },
1983
+ {
1984
+ "epoch": 1.8835616438356164,
1985
+ "grad_norm": 9.691319465637207,
1986
+ "learning_rate": 1.1182191780821918e-05,
1987
+ "loss": 0.5597,
1988
+ "step": 13750
1989
+ },
1990
+ {
1991
+ "epoch": 1.8904109589041096,
1992
+ "grad_norm": 8.646857261657715,
1993
+ "learning_rate": 1.1113698630136988e-05,
1994
+ "loss": 0.5628,
1995
+ "step": 13800
1996
+ },
1997
+ {
1998
+ "epoch": 1.8972602739726028,
1999
+ "grad_norm": 11.704099655151367,
2000
+ "learning_rate": 1.1045205479452055e-05,
2001
+ "loss": 0.5685,
2002
+ "step": 13850
2003
+ },
2004
+ {
2005
+ "epoch": 1.904109589041096,
2006
+ "grad_norm": 8.259442329406738,
2007
+ "learning_rate": 1.0976712328767123e-05,
2008
+ "loss": 0.5124,
2009
+ "step": 13900
2010
+ },
2011
+ {
2012
+ "epoch": 1.910958904109589,
2013
+ "grad_norm": 11.258965492248535,
2014
+ "learning_rate": 1.0908219178082191e-05,
2015
+ "loss": 0.6225,
2016
+ "step": 13950
2017
+ },
2018
+ {
2019
+ "epoch": 1.9178082191780823,
2020
+ "grad_norm": 6.926393985748291,
2021
+ "learning_rate": 1.083972602739726e-05,
2022
+ "loss": 0.5896,
2023
+ "step": 14000
2024
+ },
2025
+ {
2026
+ "epoch": 1.9178082191780823,
2027
+ "eval_exact_match": 86.45222327341533,
2028
+ "eval_f1": 92.99265968366515,
2029
+ "eval_runtime": 374.4115,
2030
+ "eval_samples_per_second": 28.231,
2031
+ "eval_steps_per_second": 1.765,
2032
+ "step": 14000
2033
+ },
2034
+ {
2035
+ "epoch": 1.9246575342465753,
2036
+ "grad_norm": 29.349151611328125,
2037
+ "learning_rate": 1.0771232876712328e-05,
2038
+ "loss": 0.5955,
2039
+ "step": 14050
2040
+ },
2041
+ {
2042
+ "epoch": 1.9315068493150684,
2043
+ "grad_norm": 17.9901123046875,
2044
+ "learning_rate": 1.0702739726027398e-05,
2045
+ "loss": 0.6424,
2046
+ "step": 14100
2047
+ },
2048
+ {
2049
+ "epoch": 1.9383561643835616,
2050
+ "grad_norm": 28.261518478393555,
2051
+ "learning_rate": 1.0634246575342465e-05,
2052
+ "loss": 0.5522,
2053
+ "step": 14150
2054
+ },
2055
+ {
2056
+ "epoch": 1.9452054794520548,
2057
+ "grad_norm": 27.7220401763916,
2058
+ "learning_rate": 1.0565753424657535e-05,
2059
+ "loss": 0.5946,
2060
+ "step": 14200
2061
+ },
2062
+ {
2063
+ "epoch": 1.952054794520548,
2064
+ "grad_norm": 29.411664962768555,
2065
+ "learning_rate": 1.0497260273972603e-05,
2066
+ "loss": 0.6488,
2067
+ "step": 14250
2068
+ },
2069
+ {
2070
+ "epoch": 1.958904109589041,
2071
+ "grad_norm": 18.539878845214844,
2072
+ "learning_rate": 1.0428767123287672e-05,
2073
+ "loss": 0.5892,
2074
+ "step": 14300
2075
+ },
2076
+ {
2077
+ "epoch": 1.9657534246575343,
2078
+ "grad_norm": 40.02704620361328,
2079
+ "learning_rate": 1.036027397260274e-05,
2080
+ "loss": 0.6774,
2081
+ "step": 14350
2082
+ },
2083
+ {
2084
+ "epoch": 1.9726027397260273,
2085
+ "grad_norm": 10.566826820373535,
2086
+ "learning_rate": 1.029178082191781e-05,
2087
+ "loss": 0.584,
2088
+ "step": 14400
2089
+ },
2090
+ {
2091
+ "epoch": 1.9794520547945207,
2092
+ "grad_norm": 119.12139129638672,
2093
+ "learning_rate": 1.0223287671232877e-05,
2094
+ "loss": 0.5327,
2095
+ "step": 14450
2096
+ },
2097
+ {
2098
+ "epoch": 1.9863013698630136,
2099
+ "grad_norm": 7.952827453613281,
2100
+ "learning_rate": 1.0154794520547947e-05,
2101
+ "loss": 0.6381,
2102
+ "step": 14500
2103
+ },
2104
+ {
2105
+ "epoch": 1.9931506849315068,
2106
+ "grad_norm": 7.785494327545166,
2107
+ "learning_rate": 1.0086301369863013e-05,
2108
+ "loss": 0.5943,
2109
+ "step": 14550
2110
+ },
2111
+ {
2112
+ "epoch": 2.0,
2113
+ "grad_norm": 14.003286361694336,
2114
+ "learning_rate": 1.0017808219178082e-05,
2115
+ "loss": 0.6213,
2116
+ "step": 14600
2117
+ },
2118
+ {
2119
+ "epoch": 2.006849315068493,
2120
+ "grad_norm": 13.985429763793945,
2121
+ "learning_rate": 9.94931506849315e-06,
2122
+ "loss": 0.3419,
2123
+ "step": 14650
2124
+ },
2125
+ {
2126
+ "epoch": 2.0136986301369864,
2127
+ "grad_norm": 9.347712516784668,
2128
+ "learning_rate": 9.88082191780822e-06,
2129
+ "loss": 0.3652,
2130
+ "step": 14700
2131
+ },
2132
+ {
2133
+ "epoch": 2.0205479452054793,
2134
+ "grad_norm": 10.267210006713867,
2135
+ "learning_rate": 9.812328767123287e-06,
2136
+ "loss": 0.3994,
2137
+ "step": 14750
2138
+ },
2139
+ {
2140
+ "epoch": 2.0273972602739727,
2141
+ "grad_norm": 49.33255386352539,
2142
+ "learning_rate": 9.743835616438357e-06,
2143
+ "loss": 0.3548,
2144
+ "step": 14800
2145
+ },
2146
+ {
2147
+ "epoch": 2.0342465753424657,
2148
+ "grad_norm": 6.08221435546875,
2149
+ "learning_rate": 9.675342465753424e-06,
2150
+ "loss": 0.3511,
2151
+ "step": 14850
2152
+ },
2153
+ {
2154
+ "epoch": 2.041095890410959,
2155
+ "grad_norm": 3.6202051639556885,
2156
+ "learning_rate": 9.606849315068494e-06,
2157
+ "loss": 0.3856,
2158
+ "step": 14900
2159
+ },
2160
+ {
2161
+ "epoch": 2.047945205479452,
2162
+ "grad_norm": 30.515443801879883,
2163
+ "learning_rate": 9.538356164383562e-06,
2164
+ "loss": 0.3352,
2165
+ "step": 14950
2166
+ },
2167
+ {
2168
+ "epoch": 2.0547945205479454,
2169
+ "grad_norm": 15.059028625488281,
2170
+ "learning_rate": 9.469863013698631e-06,
2171
+ "loss": 0.3396,
2172
+ "step": 15000
2173
+ },
2174
+ {
2175
+ "epoch": 2.0616438356164384,
2176
+ "grad_norm": 16.944942474365234,
2177
+ "learning_rate": 9.401369863013699e-06,
2178
+ "loss": 0.4043,
2179
+ "step": 15050
2180
+ },
2181
+ {
2182
+ "epoch": 2.0684931506849313,
2183
+ "grad_norm": 12.575927734375,
2184
+ "learning_rate": 9.332876712328768e-06,
2185
+ "loss": 0.3958,
2186
+ "step": 15100
2187
+ },
2188
+ {
2189
+ "epoch": 2.0753424657534247,
2190
+ "grad_norm": 5.4868574142456055,
2191
+ "learning_rate": 9.264383561643836e-06,
2192
+ "loss": 0.3482,
2193
+ "step": 15150
2194
+ },
2195
+ {
2196
+ "epoch": 2.0821917808219177,
2197
+ "grad_norm": 6.648189544677734,
2198
+ "learning_rate": 9.195890410958904e-06,
2199
+ "loss": 0.3973,
2200
+ "step": 15200
2201
+ },
2202
+ {
2203
+ "epoch": 2.089041095890411,
2204
+ "grad_norm": 14.415315628051758,
2205
+ "learning_rate": 9.127397260273972e-06,
2206
+ "loss": 0.3581,
2207
+ "step": 15250
2208
+ },
2209
+ {
2210
+ "epoch": 2.095890410958904,
2211
+ "grad_norm": 16.45214080810547,
2212
+ "learning_rate": 9.058904109589041e-06,
2213
+ "loss": 0.3387,
2214
+ "step": 15300
2215
+ },
2216
+ {
2217
+ "epoch": 2.1027397260273974,
2218
+ "grad_norm": 21.584300994873047,
2219
+ "learning_rate": 8.990410958904109e-06,
2220
+ "loss": 0.3634,
2221
+ "step": 15350
2222
+ },
2223
+ {
2224
+ "epoch": 2.1095890410958904,
2225
+ "grad_norm": 17.63618278503418,
2226
+ "learning_rate": 8.923287671232876e-06,
2227
+ "loss": 0.3903,
2228
+ "step": 15400
2229
+ },
2230
+ {
2231
+ "epoch": 2.1164383561643834,
2232
+ "grad_norm": 11.995582580566406,
2233
+ "learning_rate": 8.854794520547946e-06,
2234
+ "loss": 0.3552,
2235
+ "step": 15450
2236
+ },
2237
+ {
2238
+ "epoch": 2.1232876712328768,
2239
+ "grad_norm": 8.57909870147705,
2240
+ "learning_rate": 8.786301369863013e-06,
2241
+ "loss": 0.3398,
2242
+ "step": 15500
2243
+ },
2244
+ {
2245
+ "epoch": 2.1301369863013697,
2246
+ "grad_norm": 37.580360412597656,
2247
+ "learning_rate": 8.717808219178083e-06,
2248
+ "loss": 0.3554,
2249
+ "step": 15550
2250
+ },
2251
+ {
2252
+ "epoch": 2.136986301369863,
2253
+ "grad_norm": 10.59188461303711,
2254
+ "learning_rate": 8.64931506849315e-06,
2255
+ "loss": 0.374,
2256
+ "step": 15600
2257
+ },
2258
+ {
2259
+ "epoch": 2.143835616438356,
2260
+ "grad_norm": 9.80274486541748,
2261
+ "learning_rate": 8.58082191780822e-06,
2262
+ "loss": 0.3954,
2263
+ "step": 15650
2264
+ },
2265
+ {
2266
+ "epoch": 2.1506849315068495,
2267
+ "grad_norm": 12.254220008850098,
2268
+ "learning_rate": 8.512328767123288e-06,
2269
+ "loss": 0.3623,
2270
+ "step": 15700
2271
+ },
2272
+ {
2273
+ "epoch": 2.1575342465753424,
2274
+ "grad_norm": 52.04378128051758,
2275
+ "learning_rate": 8.443835616438357e-06,
2276
+ "loss": 0.3648,
2277
+ "step": 15750
2278
+ },
2279
+ {
2280
+ "epoch": 2.1643835616438354,
2281
+ "grad_norm": 11.195460319519043,
2282
+ "learning_rate": 8.375342465753425e-06,
2283
+ "loss": 0.3791,
2284
+ "step": 15800
2285
+ },
2286
+ {
2287
+ "epoch": 2.171232876712329,
2288
+ "grad_norm": 24.721216201782227,
2289
+ "learning_rate": 8.306849315068495e-06,
2290
+ "loss": 0.3589,
2291
+ "step": 15850
2292
+ },
2293
+ {
2294
+ "epoch": 2.1780821917808217,
2295
+ "grad_norm": 14.407581329345703,
2296
+ "learning_rate": 8.23835616438356e-06,
2297
+ "loss": 0.3242,
2298
+ "step": 15900
2299
+ },
2300
+ {
2301
+ "epoch": 2.184931506849315,
2302
+ "grad_norm": 3.953585147857666,
2303
+ "learning_rate": 8.16986301369863e-06,
2304
+ "loss": 0.3214,
2305
+ "step": 15950
2306
+ },
2307
+ {
2308
+ "epoch": 2.191780821917808,
2309
+ "grad_norm": 2.40246319770813,
2310
+ "learning_rate": 8.101369863013698e-06,
2311
+ "loss": 0.4225,
2312
+ "step": 16000
2313
+ },
2314
+ {
2315
+ "epoch": 2.191780821917808,
2316
+ "eval_exact_match": 85.84673604541155,
2317
+ "eval_f1": 92.62008664474187,
2318
+ "eval_runtime": 373.8017,
2319
+ "eval_samples_per_second": 28.277,
2320
+ "eval_steps_per_second": 1.768,
2321
+ "step": 16000
2322
+ },
2323
+ {
2324
+ "epoch": 2.1986301369863015,
2325
+ "grad_norm": 1.9170202016830444,
2326
+ "learning_rate": 8.032876712328767e-06,
2327
+ "loss": 0.3246,
2328
+ "step": 16050
2329
+ },
2330
+ {
2331
+ "epoch": 2.2054794520547945,
2332
+ "grad_norm": 11.83944034576416,
2333
+ "learning_rate": 7.964383561643835e-06,
2334
+ "loss": 0.3439,
2335
+ "step": 16100
2336
+ },
2337
+ {
2338
+ "epoch": 2.212328767123288,
2339
+ "grad_norm": 19.029552459716797,
2340
+ "learning_rate": 7.895890410958905e-06,
2341
+ "loss": 0.3921,
2342
+ "step": 16150
2343
+ },
2344
+ {
2345
+ "epoch": 2.219178082191781,
2346
+ "grad_norm": 8.53359317779541,
2347
+ "learning_rate": 7.827397260273972e-06,
2348
+ "loss": 0.3652,
2349
+ "step": 16200
2350
+ },
2351
+ {
2352
+ "epoch": 2.2260273972602738,
2353
+ "grad_norm": 14.722824096679688,
2354
+ "learning_rate": 7.758904109589042e-06,
2355
+ "loss": 0.3759,
2356
+ "step": 16250
2357
+ },
2358
+ {
2359
+ "epoch": 2.232876712328767,
2360
+ "grad_norm": 13.773172378540039,
2361
+ "learning_rate": 7.69041095890411e-06,
2362
+ "loss": 0.3888,
2363
+ "step": 16300
2364
+ },
2365
+ {
2366
+ "epoch": 2.23972602739726,
2367
+ "grad_norm": 57.0293083190918,
2368
+ "learning_rate": 7.621917808219179e-06,
2369
+ "loss": 0.4037,
2370
+ "step": 16350
2371
+ },
2372
+ {
2373
+ "epoch": 2.2465753424657535,
2374
+ "grad_norm": 12.52489948272705,
2375
+ "learning_rate": 7.553424657534246e-06,
2376
+ "loss": 0.3284,
2377
+ "step": 16400
2378
+ },
2379
+ {
2380
+ "epoch": 2.2534246575342465,
2381
+ "grad_norm": 7.030215263366699,
2382
+ "learning_rate": 7.484931506849315e-06,
2383
+ "loss": 0.4432,
2384
+ "step": 16450
2385
+ },
2386
+ {
2387
+ "epoch": 2.26027397260274,
2388
+ "grad_norm": 16.76194190979004,
2389
+ "learning_rate": 7.416438356164383e-06,
2390
+ "loss": 0.3826,
2391
+ "step": 16500
2392
+ },
2393
+ {
2394
+ "epoch": 2.267123287671233,
2395
+ "grad_norm": 18.368928909301758,
2396
+ "learning_rate": 7.347945205479452e-06,
2397
+ "loss": 0.3668,
2398
+ "step": 16550
2399
+ },
2400
+ {
2401
+ "epoch": 2.2739726027397262,
2402
+ "grad_norm": 9.03032398223877,
2403
+ "learning_rate": 7.2794520547945206e-06,
2404
+ "loss": 0.3559,
2405
+ "step": 16600
2406
+ },
2407
+ {
2408
+ "epoch": 2.280821917808219,
2409
+ "grad_norm": 20.22943878173828,
2410
+ "learning_rate": 7.210958904109589e-06,
2411
+ "loss": 0.375,
2412
+ "step": 16650
2413
+ },
2414
+ {
2415
+ "epoch": 2.287671232876712,
2416
+ "grad_norm": 82.04647827148438,
2417
+ "learning_rate": 7.142465753424657e-06,
2418
+ "loss": 0.4216,
2419
+ "step": 16700
2420
+ },
2421
+ {
2422
+ "epoch": 2.2945205479452055,
2423
+ "grad_norm": 30.627729415893555,
2424
+ "learning_rate": 7.073972602739726e-06,
2425
+ "loss": 0.3863,
2426
+ "step": 16750
2427
+ },
2428
+ {
2429
+ "epoch": 2.3013698630136985,
2430
+ "grad_norm": 29.063501358032227,
2431
+ "learning_rate": 7.005479452054794e-06,
2432
+ "loss": 0.3599,
2433
+ "step": 16800
2434
+ },
2435
+ {
2436
+ "epoch": 2.308219178082192,
2437
+ "grad_norm": 22.352022171020508,
2438
+ "learning_rate": 6.936986301369863e-06,
2439
+ "loss": 0.4223,
2440
+ "step": 16850
2441
+ },
2442
+ {
2443
+ "epoch": 2.315068493150685,
2444
+ "grad_norm": 9.427127838134766,
2445
+ "learning_rate": 6.8684931506849315e-06,
2446
+ "loss": 0.3762,
2447
+ "step": 16900
2448
+ },
2449
+ {
2450
+ "epoch": 2.3219178082191783,
2451
+ "grad_norm": 82.33016204833984,
2452
+ "learning_rate": 6.8e-06,
2453
+ "loss": 0.4001,
2454
+ "step": 16950
2455
+ },
2456
+ {
2457
+ "epoch": 2.328767123287671,
2458
+ "grad_norm": 11.738672256469727,
2459
+ "learning_rate": 6.731506849315069e-06,
2460
+ "loss": 0.334,
2461
+ "step": 17000
2462
+ },
2463
+ {
2464
+ "epoch": 2.3356164383561646,
2465
+ "grad_norm": 7.739569187164307,
2466
+ "learning_rate": 6.6630136986301365e-06,
2467
+ "loss": 0.3344,
2468
+ "step": 17050
2469
+ },
2470
+ {
2471
+ "epoch": 2.3424657534246576,
2472
+ "grad_norm": 17.13344383239746,
2473
+ "learning_rate": 6.594520547945205e-06,
2474
+ "loss": 0.3847,
2475
+ "step": 17100
2476
+ },
2477
+ {
2478
+ "epoch": 2.3493150684931505,
2479
+ "grad_norm": 19.908540725708008,
2480
+ "learning_rate": 6.526027397260274e-06,
2481
+ "loss": 0.3276,
2482
+ "step": 17150
2483
+ },
2484
+ {
2485
+ "epoch": 2.356164383561644,
2486
+ "grad_norm": 13.234891891479492,
2487
+ "learning_rate": 6.457534246575342e-06,
2488
+ "loss": 0.3489,
2489
+ "step": 17200
2490
+ },
2491
+ {
2492
+ "epoch": 2.363013698630137,
2493
+ "grad_norm": 14.126317024230957,
2494
+ "learning_rate": 6.389041095890411e-06,
2495
+ "loss": 0.3892,
2496
+ "step": 17250
2497
+ },
2498
+ {
2499
+ "epoch": 2.3698630136986303,
2500
+ "grad_norm": 1.4812201261520386,
2501
+ "learning_rate": 6.32054794520548e-06,
2502
+ "loss": 0.3717,
2503
+ "step": 17300
2504
+ },
2505
+ {
2506
+ "epoch": 2.3767123287671232,
2507
+ "grad_norm": 8.576751708984375,
2508
+ "learning_rate": 6.2520547945205474e-06,
2509
+ "loss": 0.3515,
2510
+ "step": 17350
2511
+ },
2512
+ {
2513
+ "epoch": 2.383561643835616,
2514
+ "grad_norm": 13.8392333984375,
2515
+ "learning_rate": 6.183561643835616e-06,
2516
+ "loss": 0.3399,
2517
+ "step": 17400
2518
+ },
2519
+ {
2520
+ "epoch": 2.3904109589041096,
2521
+ "grad_norm": 8.925323486328125,
2522
+ "learning_rate": 6.115068493150685e-06,
2523
+ "loss": 0.3598,
2524
+ "step": 17450
2525
+ },
2526
+ {
2527
+ "epoch": 2.3972602739726026,
2528
+ "grad_norm": 9.674339294433594,
2529
+ "learning_rate": 6.046575342465753e-06,
2530
+ "loss": 0.3573,
2531
+ "step": 17500
2532
+ },
2533
+ {
2534
+ "epoch": 2.404109589041096,
2535
+ "grad_norm": 4.276260852813721,
2536
+ "learning_rate": 5.978082191780822e-06,
2537
+ "loss": 0.3596,
2538
+ "step": 17550
2539
+ },
2540
+ {
2541
+ "epoch": 2.410958904109589,
2542
+ "grad_norm": 8.640230178833008,
2543
+ "learning_rate": 5.9095890410958906e-06,
2544
+ "loss": 0.3591,
2545
+ "step": 17600
2546
+ },
2547
+ {
2548
+ "epoch": 2.4178082191780823,
2549
+ "grad_norm": 24.30743408203125,
2550
+ "learning_rate": 5.841095890410958e-06,
2551
+ "loss": 0.3721,
2552
+ "step": 17650
2553
+ },
2554
+ {
2555
+ "epoch": 2.4246575342465753,
2556
+ "grad_norm": 14.108036041259766,
2557
+ "learning_rate": 5.772602739726027e-06,
2558
+ "loss": 0.4469,
2559
+ "step": 17700
2560
+ },
2561
+ {
2562
+ "epoch": 2.4315068493150687,
2563
+ "grad_norm": 6.523674488067627,
2564
+ "learning_rate": 5.704109589041096e-06,
2565
+ "loss": 0.356,
2566
+ "step": 17750
2567
+ },
2568
+ {
2569
+ "epoch": 2.4383561643835616,
2570
+ "grad_norm": 14.432558059692383,
2571
+ "learning_rate": 5.635616438356164e-06,
2572
+ "loss": 0.3651,
2573
+ "step": 17800
2574
+ },
2575
+ {
2576
+ "epoch": 2.4452054794520546,
2577
+ "grad_norm": 42.44483947753906,
2578
+ "learning_rate": 5.567123287671233e-06,
2579
+ "loss": 0.3245,
2580
+ "step": 17850
2581
+ },
2582
+ {
2583
+ "epoch": 2.452054794520548,
2584
+ "grad_norm": 32.770179748535156,
2585
+ "learning_rate": 5.4986301369863015e-06,
2586
+ "loss": 0.3644,
2587
+ "step": 17900
2588
+ },
2589
+ {
2590
+ "epoch": 2.458904109589041,
2591
+ "grad_norm": 15.61273193359375,
2592
+ "learning_rate": 5.43013698630137e-06,
2593
+ "loss": 0.4216,
2594
+ "step": 17950
2595
+ },
2596
+ {
2597
+ "epoch": 2.4657534246575343,
2598
+ "grad_norm": 6.411821365356445,
2599
+ "learning_rate": 5.361643835616438e-06,
2600
+ "loss": 0.3787,
2601
+ "step": 18000
2602
+ },
2603
+ {
2604
+ "epoch": 2.4657534246575343,
2605
+ "eval_exact_match": 86.03595080416272,
2606
+ "eval_f1": 92.59598379751915,
2607
+ "eval_runtime": 374.3115,
2608
+ "eval_samples_per_second": 28.239,
2609
+ "eval_steps_per_second": 1.766,
2610
+ "step": 18000
2611
+ },
2612
+ {
2613
+ "epoch": 2.4726027397260273,
2614
+ "grad_norm": 8.469440460205078,
2615
+ "learning_rate": 5.2931506849315065e-06,
2616
+ "loss": 0.3794,
2617
+ "step": 18050
2618
+ },
2619
+ {
2620
+ "epoch": 2.4794520547945207,
2621
+ "grad_norm": 34.662200927734375,
2622
+ "learning_rate": 5.224657534246575e-06,
2623
+ "loss": 0.3383,
2624
+ "step": 18100
2625
+ },
2626
+ {
2627
+ "epoch": 2.4863013698630136,
2628
+ "grad_norm": 9.564376831054688,
2629
+ "learning_rate": 5.156164383561644e-06,
2630
+ "loss": 0.3725,
2631
+ "step": 18150
2632
+ },
2633
+ {
2634
+ "epoch": 2.493150684931507,
2635
+ "grad_norm": 21.028474807739258,
2636
+ "learning_rate": 5.087671232876712e-06,
2637
+ "loss": 0.3401,
2638
+ "step": 18200
2639
+ },
2640
+ {
2641
+ "epoch": 2.5,
2642
+ "grad_norm": 30.721982955932617,
2643
+ "learning_rate": 5.019178082191781e-06,
2644
+ "loss": 0.4297,
2645
+ "step": 18250
2646
+ },
2647
+ {
2648
+ "epoch": 2.506849315068493,
2649
+ "grad_norm": 13.996516227722168,
2650
+ "learning_rate": 4.950684931506849e-06,
2651
+ "loss": 0.3357,
2652
+ "step": 18300
2653
+ },
2654
+ {
2655
+ "epoch": 2.5136986301369864,
2656
+ "grad_norm": 17.068370819091797,
2657
+ "learning_rate": 4.8821917808219174e-06,
2658
+ "loss": 0.3447,
2659
+ "step": 18350
2660
+ },
2661
+ {
2662
+ "epoch": 2.5205479452054793,
2663
+ "grad_norm": 17.016204833984375,
2664
+ "learning_rate": 4.813698630136986e-06,
2665
+ "loss": 0.4224,
2666
+ "step": 18400
2667
+ },
2668
+ {
2669
+ "epoch": 2.5273972602739727,
2670
+ "grad_norm": 24.968732833862305,
2671
+ "learning_rate": 4.746575342465753e-06,
2672
+ "loss": 0.3144,
2673
+ "step": 18450
2674
+ },
2675
+ {
2676
+ "epoch": 2.5342465753424657,
2677
+ "grad_norm": 9.2473783493042,
2678
+ "learning_rate": 4.678082191780822e-06,
2679
+ "loss": 0.3584,
2680
+ "step": 18500
2681
+ },
2682
+ {
2683
+ "epoch": 2.541095890410959,
2684
+ "grad_norm": 4.206846714019775,
2685
+ "learning_rate": 4.60958904109589e-06,
2686
+ "loss": 0.4063,
2687
+ "step": 18550
2688
+ },
2689
+ {
2690
+ "epoch": 2.547945205479452,
2691
+ "grad_norm": 23.909751892089844,
2692
+ "learning_rate": 4.541095890410959e-06,
2693
+ "loss": 0.4532,
2694
+ "step": 18600
2695
+ },
2696
+ {
2697
+ "epoch": 2.5547945205479454,
2698
+ "grad_norm": 7.862274169921875,
2699
+ "learning_rate": 4.4726027397260276e-06,
2700
+ "loss": 0.3294,
2701
+ "step": 18650
2702
+ },
2703
+ {
2704
+ "epoch": 2.5616438356164384,
2705
+ "grad_norm": 11.439240455627441,
2706
+ "learning_rate": 4.404109589041095e-06,
2707
+ "loss": 0.35,
2708
+ "step": 18700
2709
+ },
2710
+ {
2711
+ "epoch": 2.5684931506849313,
2712
+ "grad_norm": 88.37039184570312,
2713
+ "learning_rate": 4.335616438356164e-06,
2714
+ "loss": 0.3066,
2715
+ "step": 18750
2716
+ },
2717
+ {
2718
+ "epoch": 2.5753424657534247,
2719
+ "grad_norm": 11.26742172241211,
2720
+ "learning_rate": 4.267123287671233e-06,
2721
+ "loss": 0.3356,
2722
+ "step": 18800
2723
+ },
2724
+ {
2725
+ "epoch": 2.5821917808219177,
2726
+ "grad_norm": 6.460461616516113,
2727
+ "learning_rate": 4.198630136986301e-06,
2728
+ "loss": 0.3016,
2729
+ "step": 18850
2730
+ },
2731
+ {
2732
+ "epoch": 2.589041095890411,
2733
+ "grad_norm": 16.87274742126465,
2734
+ "learning_rate": 4.13013698630137e-06,
2735
+ "loss": 0.3711,
2736
+ "step": 18900
2737
+ },
2738
+ {
2739
+ "epoch": 2.595890410958904,
2740
+ "grad_norm": 9.084839820861816,
2741
+ "learning_rate": 4.0616438356164385e-06,
2742
+ "loss": 0.368,
2743
+ "step": 18950
2744
+ },
2745
+ {
2746
+ "epoch": 2.602739726027397,
2747
+ "grad_norm": 14.624054908752441,
2748
+ "learning_rate": 3.993150684931506e-06,
2749
+ "loss": 0.3217,
2750
+ "step": 19000
2751
+ },
2752
+ {
2753
+ "epoch": 2.6095890410958904,
2754
+ "grad_norm": 9.953332901000977,
2755
+ "learning_rate": 3.924657534246575e-06,
2756
+ "loss": 0.3739,
2757
+ "step": 19050
2758
+ },
2759
+ {
2760
+ "epoch": 2.616438356164384,
2761
+ "grad_norm": 23.690486907958984,
2762
+ "learning_rate": 3.8561643835616435e-06,
2763
+ "loss": 0.3504,
2764
+ "step": 19100
2765
+ },
2766
+ {
2767
+ "epoch": 2.6232876712328768,
2768
+ "grad_norm": 15.352545738220215,
2769
+ "learning_rate": 3.787671232876712e-06,
2770
+ "loss": 0.3248,
2771
+ "step": 19150
2772
+ },
2773
+ {
2774
+ "epoch": 2.6301369863013697,
2775
+ "grad_norm": 9.884965896606445,
2776
+ "learning_rate": 3.7205479452054796e-06,
2777
+ "loss": 0.4217,
2778
+ "step": 19200
2779
+ },
2780
+ {
2781
+ "epoch": 2.636986301369863,
2782
+ "grad_norm": 6.916888236999512,
2783
+ "learning_rate": 3.652054794520548e-06,
2784
+ "loss": 0.3578,
2785
+ "step": 19250
2786
+ },
2787
+ {
2788
+ "epoch": 2.643835616438356,
2789
+ "grad_norm": 31.198816299438477,
2790
+ "learning_rate": 3.5835616438356164e-06,
2791
+ "loss": 0.354,
2792
+ "step": 19300
2793
+ },
2794
+ {
2795
+ "epoch": 2.6506849315068495,
2796
+ "grad_norm": 19.81708335876465,
2797
+ "learning_rate": 3.515068493150685e-06,
2798
+ "loss": 0.3645,
2799
+ "step": 19350
2800
+ },
2801
+ {
2802
+ "epoch": 2.6575342465753424,
2803
+ "grad_norm": 13.156720161437988,
2804
+ "learning_rate": 3.4465753424657536e-06,
2805
+ "loss": 0.3673,
2806
+ "step": 19400
2807
+ },
2808
+ {
2809
+ "epoch": 2.6643835616438354,
2810
+ "grad_norm": 2.532683849334717,
2811
+ "learning_rate": 3.378082191780822e-06,
2812
+ "loss": 0.3605,
2813
+ "step": 19450
2814
+ },
2815
+ {
2816
+ "epoch": 2.671232876712329,
2817
+ "grad_norm": 21.692689895629883,
2818
+ "learning_rate": 3.3095890410958905e-06,
2819
+ "loss": 0.4003,
2820
+ "step": 19500
2821
+ },
2822
+ {
2823
+ "epoch": 2.678082191780822,
2824
+ "grad_norm": 12.005087852478027,
2825
+ "learning_rate": 3.241095890410959e-06,
2826
+ "loss": 0.3284,
2827
+ "step": 19550
2828
+ },
2829
+ {
2830
+ "epoch": 2.684931506849315,
2831
+ "grad_norm": 11.013394355773926,
2832
+ "learning_rate": 3.1726027397260277e-06,
2833
+ "loss": 0.3844,
2834
+ "step": 19600
2835
+ },
2836
+ {
2837
+ "epoch": 2.691780821917808,
2838
+ "grad_norm": 4.333644866943359,
2839
+ "learning_rate": 3.104109589041096e-06,
2840
+ "loss": 0.3349,
2841
+ "step": 19650
2842
+ },
2843
+ {
2844
+ "epoch": 2.6986301369863015,
2845
+ "grad_norm": 19.21991729736328,
2846
+ "learning_rate": 3.0356164383561646e-06,
2847
+ "loss": 0.4117,
2848
+ "step": 19700
2849
+ },
2850
+ {
2851
+ "epoch": 2.7054794520547945,
2852
+ "grad_norm": 4.89330530166626,
2853
+ "learning_rate": 2.967123287671233e-06,
2854
+ "loss": 0.3275,
2855
+ "step": 19750
2856
+ },
2857
+ {
2858
+ "epoch": 2.712328767123288,
2859
+ "grad_norm": 18.977140426635742,
2860
+ "learning_rate": 2.8986301369863014e-06,
2861
+ "loss": 0.2834,
2862
+ "step": 19800
2863
+ },
2864
+ {
2865
+ "epoch": 2.719178082191781,
2866
+ "grad_norm": 12.3119535446167,
2867
+ "learning_rate": 2.83013698630137e-06,
2868
+ "loss": 0.3581,
2869
+ "step": 19850
2870
+ },
2871
+ {
2872
+ "epoch": 2.7260273972602738,
2873
+ "grad_norm": 17.003293991088867,
2874
+ "learning_rate": 2.7616438356164386e-06,
2875
+ "loss": 0.3172,
2876
+ "step": 19900
2877
+ },
2878
+ {
2879
+ "epoch": 2.732876712328767,
2880
+ "grad_norm": 11.635333061218262,
2881
+ "learning_rate": 2.693150684931507e-06,
2882
+ "loss": 0.3026,
2883
+ "step": 19950
2884
+ },
2885
+ {
2886
+ "epoch": 2.73972602739726,
2887
+ "grad_norm": 69.9380874633789,
2888
+ "learning_rate": 2.6246575342465755e-06,
2889
+ "loss": 0.3742,
2890
+ "step": 20000
2891
+ },
2892
+ {
2893
+ "epoch": 2.73972602739726,
2894
+ "eval_exact_match": 86.20624408703878,
2895
+ "eval_f1": 92.65137657035267,
2896
+ "eval_runtime": 374.5596,
2897
+ "eval_samples_per_second": 28.22,
2898
+ "eval_steps_per_second": 1.765,
2899
+ "step": 20000
2900
+ },
2901
+ {
2902
+ "epoch": 2.7465753424657535,
2903
+ "grad_norm": 9.264750480651855,
2904
+ "learning_rate": 2.556164383561644e-06,
2905
+ "loss": 0.3425,
2906
+ "step": 20050
2907
+ },
2908
+ {
2909
+ "epoch": 2.7534246575342465,
2910
+ "grad_norm": 16.502531051635742,
2911
+ "learning_rate": 2.4876712328767123e-06,
2912
+ "loss": 0.3694,
2913
+ "step": 20100
2914
+ },
2915
+ {
2916
+ "epoch": 2.76027397260274,
2917
+ "grad_norm": 8.838066101074219,
2918
+ "learning_rate": 2.419178082191781e-06,
2919
+ "loss": 0.3469,
2920
+ "step": 20150
2921
+ },
2922
+ {
2923
+ "epoch": 2.767123287671233,
2924
+ "grad_norm": 19.364974975585938,
2925
+ "learning_rate": 2.3506849315068496e-06,
2926
+ "loss": 0.349,
2927
+ "step": 20200
2928
+ },
2929
+ {
2930
+ "epoch": 2.7739726027397262,
2931
+ "grad_norm": 5.768221855163574,
2932
+ "learning_rate": 2.2821917808219178e-06,
2933
+ "loss": 0.346,
2934
+ "step": 20250
2935
+ },
2936
+ {
2937
+ "epoch": 2.780821917808219,
2938
+ "grad_norm": 14.016840934753418,
2939
+ "learning_rate": 2.2136986301369864e-06,
2940
+ "loss": 0.3712,
2941
+ "step": 20300
2942
+ },
2943
+ {
2944
+ "epoch": 2.787671232876712,
2945
+ "grad_norm": 11.506481170654297,
2946
+ "learning_rate": 2.1465753424657534e-06,
2947
+ "loss": 0.3534,
2948
+ "step": 20350
2949
+ },
2950
+ {
2951
+ "epoch": 2.7945205479452055,
2952
+ "grad_norm": 10.090023040771484,
2953
+ "learning_rate": 2.078082191780822e-06,
2954
+ "loss": 0.3401,
2955
+ "step": 20400
2956
+ },
2957
+ {
2958
+ "epoch": 2.8013698630136985,
2959
+ "grad_norm": 13.737336158752441,
2960
+ "learning_rate": 2.0095890410958906e-06,
2961
+ "loss": 0.354,
2962
+ "step": 20450
2963
+ },
2964
+ {
2965
+ "epoch": 2.808219178082192,
2966
+ "grad_norm": 12.264633178710938,
2967
+ "learning_rate": 1.941095890410959e-06,
2968
+ "loss": 0.3419,
2969
+ "step": 20500
2970
+ },
2971
+ {
2972
+ "epoch": 2.815068493150685,
2973
+ "grad_norm": 13.820444107055664,
2974
+ "learning_rate": 1.8726027397260275e-06,
2975
+ "loss": 0.3269,
2976
+ "step": 20550
2977
+ },
2978
+ {
2979
+ "epoch": 2.821917808219178,
2980
+ "grad_norm": 21.030885696411133,
2981
+ "learning_rate": 1.8041095890410959e-06,
2982
+ "loss": 0.3196,
2983
+ "step": 20600
2984
+ },
2985
+ {
2986
+ "epoch": 2.828767123287671,
2987
+ "grad_norm": 57.07254409790039,
2988
+ "learning_rate": 1.7356164383561645e-06,
2989
+ "loss": 0.3293,
2990
+ "step": 20650
2991
+ },
2992
+ {
2993
+ "epoch": 2.8356164383561646,
2994
+ "grad_norm": 12.856677055358887,
2995
+ "learning_rate": 1.667123287671233e-06,
2996
+ "loss": 0.3315,
2997
+ "step": 20700
2998
+ },
2999
+ {
3000
+ "epoch": 2.8424657534246576,
3001
+ "grad_norm": 12.119853019714355,
3002
+ "learning_rate": 1.5986301369863013e-06,
3003
+ "loss": 0.3586,
3004
+ "step": 20750
3005
+ },
3006
+ {
3007
+ "epoch": 2.8493150684931505,
3008
+ "grad_norm": 14.653212547302246,
3009
+ "learning_rate": 1.53013698630137e-06,
3010
+ "loss": 0.3567,
3011
+ "step": 20800
3012
+ },
3013
+ {
3014
+ "epoch": 2.856164383561644,
3015
+ "grad_norm": 73.28644561767578,
3016
+ "learning_rate": 1.4616438356164384e-06,
3017
+ "loss": 0.3455,
3018
+ "step": 20850
3019
+ },
3020
+ {
3021
+ "epoch": 2.863013698630137,
3022
+ "grad_norm": 8.310192108154297,
3023
+ "learning_rate": 1.393150684931507e-06,
3024
+ "loss": 0.3657,
3025
+ "step": 20900
3026
+ },
3027
+ {
3028
+ "epoch": 2.8698630136986303,
3029
+ "grad_norm": 7.967892169952393,
3030
+ "learning_rate": 1.3246575342465754e-06,
3031
+ "loss": 0.3304,
3032
+ "step": 20950
3033
+ },
3034
+ {
3035
+ "epoch": 2.8767123287671232,
3036
+ "grad_norm": 17.915605545043945,
3037
+ "learning_rate": 1.2561643835616438e-06,
3038
+ "loss": 0.366,
3039
+ "step": 21000
3040
+ },
3041
+ {
3042
+ "epoch": 2.883561643835616,
3043
+ "grad_norm": 25.84489631652832,
3044
+ "learning_rate": 1.1876712328767125e-06,
3045
+ "loss": 0.3038,
3046
+ "step": 21050
3047
+ },
3048
+ {
3049
+ "epoch": 2.8904109589041096,
3050
+ "grad_norm": 16.457599639892578,
3051
+ "learning_rate": 1.1191780821917809e-06,
3052
+ "loss": 0.355,
3053
+ "step": 21100
3054
+ },
3055
+ {
3056
+ "epoch": 2.897260273972603,
3057
+ "grad_norm": 6.114046573638916,
3058
+ "learning_rate": 1.0506849315068493e-06,
3059
+ "loss": 0.3422,
3060
+ "step": 21150
3061
+ },
3062
+ {
3063
+ "epoch": 2.904109589041096,
3064
+ "grad_norm": 5.753522872924805,
3065
+ "learning_rate": 9.82191780821918e-07,
3066
+ "loss": 0.3282,
3067
+ "step": 21200
3068
+ },
3069
+ {
3070
+ "epoch": 2.910958904109589,
3071
+ "grad_norm": 10.73289966583252,
3072
+ "learning_rate": 9.136986301369863e-07,
3073
+ "loss": 0.3226,
3074
+ "step": 21250
3075
+ },
3076
+ {
3077
+ "epoch": 2.9178082191780823,
3078
+ "grad_norm": 6.898795127868652,
3079
+ "learning_rate": 8.452054794520548e-07,
3080
+ "loss": 0.3129,
3081
+ "step": 21300
3082
+ },
3083
+ {
3084
+ "epoch": 2.9246575342465753,
3085
+ "grad_norm": 27.09336280822754,
3086
+ "learning_rate": 7.767123287671233e-07,
3087
+ "loss": 0.2969,
3088
+ "step": 21350
3089
+ },
3090
+ {
3091
+ "epoch": 2.9315068493150687,
3092
+ "grad_norm": 5.278433799743652,
3093
+ "learning_rate": 7.082191780821918e-07,
3094
+ "loss": 0.3627,
3095
+ "step": 21400
3096
+ },
3097
+ {
3098
+ "epoch": 2.9383561643835616,
3099
+ "grad_norm": 19.34138298034668,
3100
+ "learning_rate": 6.397260273972602e-07,
3101
+ "loss": 0.3751,
3102
+ "step": 21450
3103
+ },
3104
+ {
3105
+ "epoch": 2.9452054794520546,
3106
+ "grad_norm": 6.466626167297363,
3107
+ "learning_rate": 5.712328767123287e-07,
3108
+ "loss": 0.3006,
3109
+ "step": 21500
3110
+ },
3111
+ {
3112
+ "epoch": 2.952054794520548,
3113
+ "grad_norm": 12.599709510803223,
3114
+ "learning_rate": 5.027397260273973e-07,
3115
+ "loss": 0.3446,
3116
+ "step": 21550
3117
+ },
3118
+ {
3119
+ "epoch": 2.958904109589041,
3120
+ "grad_norm": 12.089503288269043,
3121
+ "learning_rate": 4.342465753424658e-07,
3122
+ "loss": 0.3768,
3123
+ "step": 21600
3124
+ },
3125
+ {
3126
+ "epoch": 2.9657534246575343,
3127
+ "grad_norm": 36.18865203857422,
3128
+ "learning_rate": 3.6575342465753424e-07,
3129
+ "loss": 0.311,
3130
+ "step": 21650
3131
+ },
3132
+ {
3133
+ "epoch": 2.9726027397260273,
3134
+ "grad_norm": 3.4642269611358643,
3135
+ "learning_rate": 2.972602739726027e-07,
3136
+ "loss": 0.3611,
3137
+ "step": 21700
3138
+ },
3139
+ {
3140
+ "epoch": 2.9794520547945207,
3141
+ "grad_norm": 19.14399528503418,
3142
+ "learning_rate": 2.2876712328767126e-07,
3143
+ "loss": 0.3402,
3144
+ "step": 21750
3145
+ },
3146
+ {
3147
+ "epoch": 2.9863013698630136,
3148
+ "grad_norm": 7.870481967926025,
3149
+ "learning_rate": 1.6027397260273975e-07,
3150
+ "loss": 0.3231,
3151
+ "step": 21800
3152
+ },
3153
+ {
3154
+ "epoch": 2.993150684931507,
3155
+ "grad_norm": 23.812009811401367,
3156
+ "learning_rate": 9.178082191780822e-08,
3157
+ "loss": 0.3451,
3158
+ "step": 21850
3159
+ },
3160
+ {
3161
+ "epoch": 3.0,
3162
+ "grad_norm": 54.19838333129883,
3163
+ "learning_rate": 2.3287671232876715e-08,
3164
+ "loss": 0.3079,
3165
+ "step": 21900
3166
+ },
3167
+ {
3168
+ "epoch": 3.0,
3169
+ "step": 21900,
3170
+ "total_flos": 2.006738209660207e+18,
3171
+ "train_loss": 0.6803066000655361,
3172
+ "train_runtime": 54119.8344,
3173
+ "train_samples_per_second": 4.856,
3174
+ "train_steps_per_second": 0.405
3175
+ }
3176
+ ],
3177
+ "logging_steps": 50,
3178
+ "max_steps": 21900,
3179
+ "num_input_tokens_seen": 0,
3180
+ "num_train_epochs": 3,
3181
+ "save_steps": 5000,
3182
+ "stateful_callbacks": {
3183
+ "TrainerControl": {
3184
+ "args": {
3185
+ "should_epoch_stop": false,
3186
+ "should_evaluate": false,
3187
+ "should_log": false,
3188
+ "should_save": true,
3189
+ "should_training_stop": true
3190
+ },
3191
+ "attributes": {}
3192
+ }
3193
+ },
3194
+ "total_flos": 2.006738209660207e+18,
3195
+ "train_batch_size": 3,
3196
+ "trial_name": null,
3197
+ "trial_params": null
3198
+ }