yang335 commited on
Commit
0944742
·
verified ·
1 Parent(s): 68f98df

End of training

Browse files
Files changed (5) hide show
  1. README.md +2 -1
  2. all_results.json +8 -0
  3. train_results.json +8 -0
  4. trainer_state.json +3025 -0
  5. training_loss.png +0 -0
README.md CHANGED
@@ -4,6 +4,7 @@ license: apache-2.0
4
  base_model: Qwen/Qwen2.5-Coder-7B-Instruct
5
  tags:
6
  - llama-factory
 
7
  - generated_from_trainer
8
  model-index:
9
  - name: SWE-BENCH-reproduce-verify-validation-plus-gym-diverse-source_qwen_code_7B
@@ -15,7 +16,7 @@ should probably proofread and complete it, then remove this comment. -->
15
 
16
  # SWE-BENCH-reproduce-verify-validation-plus-gym-diverse-source_qwen_code_7B
17
 
18
- This model is a fine-tuned version of [Qwen/Qwen2.5-Coder-7B-Instruct](https://huggingface.co/Qwen/Qwen2.5-Coder-7B-Instruct) on an unknown dataset.
19
 
20
  ## Model description
21
 
 
4
  base_model: Qwen/Qwen2.5-Coder-7B-Instruct
5
  tags:
6
  - llama-factory
7
+ - full
8
  - generated_from_trainer
9
  model-index:
10
  - name: SWE-BENCH-reproduce-verify-validation-plus-gym-diverse-source_qwen_code_7B
 
16
 
17
  # SWE-BENCH-reproduce-verify-validation-plus-gym-diverse-source_qwen_code_7B
18
 
19
+ This model is a fine-tuned version of [Qwen/Qwen2.5-Coder-7B-Instruct](https://huggingface.co/Qwen/Qwen2.5-Coder-7B-Instruct) on the SWE-BENCH-reproduce-verify-validation-plus-gym-diverse-source dataset.
20
 
21
  ## Model description
22
 
all_results.json ADDED
@@ -0,0 +1,8 @@
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "epoch": 2.9836065573770494,
3
+ "total_flos": 7.440485693207347e+16,
4
+ "train_loss": 0.40016700194475235,
5
+ "train_runtime": 24963.7361,
6
+ "train_samples_per_second": 0.411,
7
+ "train_steps_per_second": 0.017
8
+ }
train_results.json ADDED
@@ -0,0 +1,8 @@
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "epoch": 2.9836065573770494,
3
+ "total_flos": 7.440485693207347e+16,
4
+ "train_loss": 0.40016700194475235,
5
+ "train_runtime": 24963.7361,
6
+ "train_samples_per_second": 0.411,
7
+ "train_steps_per_second": 0.017
8
+ }
trainer_state.json ADDED
@@ -0,0 +1,3025 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_global_step": null,
3
+ "best_metric": null,
4
+ "best_model_checkpoint": null,
5
+ "epoch": 2.9836065573770494,
6
+ "eval_steps": 500,
7
+ "global_step": 426,
8
+ "is_hyper_param_search": false,
9
+ "is_local_process_zero": true,
10
+ "is_world_process_zero": true,
11
+ "log_history": [
12
+ {
13
+ "epoch": 0.00702576112412178,
14
+ "grad_norm": 2.574352979660034,
15
+ "learning_rate": 0.0,
16
+ "loss": 0.8248,
17
+ "step": 1
18
+ },
19
+ {
20
+ "epoch": 0.01405152224824356,
21
+ "grad_norm": 2.1349353790283203,
22
+ "learning_rate": 2.3255813953488374e-07,
23
+ "loss": 0.7537,
24
+ "step": 2
25
+ },
26
+ {
27
+ "epoch": 0.02107728337236534,
28
+ "grad_norm": 2.3432695865631104,
29
+ "learning_rate": 4.651162790697675e-07,
30
+ "loss": 0.7967,
31
+ "step": 3
32
+ },
33
+ {
34
+ "epoch": 0.02810304449648712,
35
+ "grad_norm": 2.618528127670288,
36
+ "learning_rate": 6.976744186046513e-07,
37
+ "loss": 0.8444,
38
+ "step": 4
39
+ },
40
+ {
41
+ "epoch": 0.0351288056206089,
42
+ "grad_norm": 1.9025769233703613,
43
+ "learning_rate": 9.30232558139535e-07,
44
+ "loss": 0.7037,
45
+ "step": 5
46
+ },
47
+ {
48
+ "epoch": 0.04215456674473068,
49
+ "grad_norm": 2.3843185901641846,
50
+ "learning_rate": 1.1627906976744188e-06,
51
+ "loss": 0.8214,
52
+ "step": 6
53
+ },
54
+ {
55
+ "epoch": 0.04918032786885246,
56
+ "grad_norm": 2.20890736579895,
57
+ "learning_rate": 1.3953488372093025e-06,
58
+ "loss": 0.8083,
59
+ "step": 7
60
+ },
61
+ {
62
+ "epoch": 0.05620608899297424,
63
+ "grad_norm": 1.8575512170791626,
64
+ "learning_rate": 1.6279069767441862e-06,
65
+ "loss": 0.7147,
66
+ "step": 8
67
+ },
68
+ {
69
+ "epoch": 0.06323185011709602,
70
+ "grad_norm": 2.092245101928711,
71
+ "learning_rate": 1.86046511627907e-06,
72
+ "loss": 0.7483,
73
+ "step": 9
74
+ },
75
+ {
76
+ "epoch": 0.0702576112412178,
77
+ "grad_norm": 1.4913474321365356,
78
+ "learning_rate": 2.0930232558139536e-06,
79
+ "loss": 0.7233,
80
+ "step": 10
81
+ },
82
+ {
83
+ "epoch": 0.07728337236533958,
84
+ "grad_norm": 1.4805643558502197,
85
+ "learning_rate": 2.3255813953488376e-06,
86
+ "loss": 0.7878,
87
+ "step": 11
88
+ },
89
+ {
90
+ "epoch": 0.08430913348946135,
91
+ "grad_norm": 1.3100932836532593,
92
+ "learning_rate": 2.558139534883721e-06,
93
+ "loss": 0.76,
94
+ "step": 12
95
+ },
96
+ {
97
+ "epoch": 0.09133489461358314,
98
+ "grad_norm": 1.3169656991958618,
99
+ "learning_rate": 2.790697674418605e-06,
100
+ "loss": 0.731,
101
+ "step": 13
102
+ },
103
+ {
104
+ "epoch": 0.09836065573770492,
105
+ "grad_norm": 1.1664108037948608,
106
+ "learning_rate": 3.0232558139534885e-06,
107
+ "loss": 0.7416,
108
+ "step": 14
109
+ },
110
+ {
111
+ "epoch": 0.1053864168618267,
112
+ "grad_norm": 1.3624343872070312,
113
+ "learning_rate": 3.2558139534883724e-06,
114
+ "loss": 0.6906,
115
+ "step": 15
116
+ },
117
+ {
118
+ "epoch": 0.11241217798594848,
119
+ "grad_norm": 1.2343862056732178,
120
+ "learning_rate": 3.4883720930232564e-06,
121
+ "loss": 0.6636,
122
+ "step": 16
123
+ },
124
+ {
125
+ "epoch": 0.11943793911007025,
126
+ "grad_norm": 1.2548797130584717,
127
+ "learning_rate": 3.72093023255814e-06,
128
+ "loss": 0.6339,
129
+ "step": 17
130
+ },
131
+ {
132
+ "epoch": 0.12646370023419204,
133
+ "grad_norm": 1.347133994102478,
134
+ "learning_rate": 3.953488372093024e-06,
135
+ "loss": 0.7124,
136
+ "step": 18
137
+ },
138
+ {
139
+ "epoch": 0.13348946135831383,
140
+ "grad_norm": 1.074514627456665,
141
+ "learning_rate": 4.186046511627907e-06,
142
+ "loss": 0.6496,
143
+ "step": 19
144
+ },
145
+ {
146
+ "epoch": 0.1405152224824356,
147
+ "grad_norm": 1.3441463708877563,
148
+ "learning_rate": 4.418604651162791e-06,
149
+ "loss": 0.7656,
150
+ "step": 20
151
+ },
152
+ {
153
+ "epoch": 0.14754098360655737,
154
+ "grad_norm": 1.066001057624817,
155
+ "learning_rate": 4.651162790697675e-06,
156
+ "loss": 0.6252,
157
+ "step": 21
158
+ },
159
+ {
160
+ "epoch": 0.15456674473067916,
161
+ "grad_norm": 1.124649167060852,
162
+ "learning_rate": 4.883720930232559e-06,
163
+ "loss": 0.646,
164
+ "step": 22
165
+ },
166
+ {
167
+ "epoch": 0.16159250585480095,
168
+ "grad_norm": 1.2024065256118774,
169
+ "learning_rate": 5.116279069767442e-06,
170
+ "loss": 0.7369,
171
+ "step": 23
172
+ },
173
+ {
174
+ "epoch": 0.1686182669789227,
175
+ "grad_norm": 0.9406749606132507,
176
+ "learning_rate": 5.348837209302326e-06,
177
+ "loss": 0.6095,
178
+ "step": 24
179
+ },
180
+ {
181
+ "epoch": 0.1756440281030445,
182
+ "grad_norm": 0.9862017035484314,
183
+ "learning_rate": 5.58139534883721e-06,
184
+ "loss": 0.6875,
185
+ "step": 25
186
+ },
187
+ {
188
+ "epoch": 0.18266978922716628,
189
+ "grad_norm": 0.9771542549133301,
190
+ "learning_rate": 5.8139534883720935e-06,
191
+ "loss": 0.614,
192
+ "step": 26
193
+ },
194
+ {
195
+ "epoch": 0.18969555035128804,
196
+ "grad_norm": 0.9741706252098083,
197
+ "learning_rate": 6.046511627906977e-06,
198
+ "loss": 0.6459,
199
+ "step": 27
200
+ },
201
+ {
202
+ "epoch": 0.19672131147540983,
203
+ "grad_norm": 0.9432346224784851,
204
+ "learning_rate": 6.279069767441861e-06,
205
+ "loss": 0.5888,
206
+ "step": 28
207
+ },
208
+ {
209
+ "epoch": 0.20374707259953162,
210
+ "grad_norm": 1.0036011934280396,
211
+ "learning_rate": 6.511627906976745e-06,
212
+ "loss": 0.6198,
213
+ "step": 29
214
+ },
215
+ {
216
+ "epoch": 0.2107728337236534,
217
+ "grad_norm": 1.0411369800567627,
218
+ "learning_rate": 6.744186046511628e-06,
219
+ "loss": 0.6236,
220
+ "step": 30
221
+ },
222
+ {
223
+ "epoch": 0.21779859484777517,
224
+ "grad_norm": 0.9507374167442322,
225
+ "learning_rate": 6.976744186046513e-06,
226
+ "loss": 0.6386,
227
+ "step": 31
228
+ },
229
+ {
230
+ "epoch": 0.22482435597189696,
231
+ "grad_norm": 0.9232994914054871,
232
+ "learning_rate": 7.209302325581395e-06,
233
+ "loss": 0.5525,
234
+ "step": 32
235
+ },
236
+ {
237
+ "epoch": 0.23185011709601874,
238
+ "grad_norm": 0.9739473462104797,
239
+ "learning_rate": 7.44186046511628e-06,
240
+ "loss": 0.616,
241
+ "step": 33
242
+ },
243
+ {
244
+ "epoch": 0.2388758782201405,
245
+ "grad_norm": 1.0418951511383057,
246
+ "learning_rate": 7.674418604651164e-06,
247
+ "loss": 0.6507,
248
+ "step": 34
249
+ },
250
+ {
251
+ "epoch": 0.2459016393442623,
252
+ "grad_norm": 0.9890851974487305,
253
+ "learning_rate": 7.906976744186048e-06,
254
+ "loss": 0.6007,
255
+ "step": 35
256
+ },
257
+ {
258
+ "epoch": 0.2529274004683841,
259
+ "grad_norm": 1.0349009037017822,
260
+ "learning_rate": 8.139534883720931e-06,
261
+ "loss": 0.5901,
262
+ "step": 36
263
+ },
264
+ {
265
+ "epoch": 0.25995316159250587,
266
+ "grad_norm": 0.9471357464790344,
267
+ "learning_rate": 8.372093023255815e-06,
268
+ "loss": 0.6052,
269
+ "step": 37
270
+ },
271
+ {
272
+ "epoch": 0.26697892271662765,
273
+ "grad_norm": 0.9224464297294617,
274
+ "learning_rate": 8.604651162790698e-06,
275
+ "loss": 0.5328,
276
+ "step": 38
277
+ },
278
+ {
279
+ "epoch": 0.27400468384074944,
280
+ "grad_norm": 1.0249232053756714,
281
+ "learning_rate": 8.837209302325582e-06,
282
+ "loss": 0.5395,
283
+ "step": 39
284
+ },
285
+ {
286
+ "epoch": 0.2810304449648712,
287
+ "grad_norm": 0.8731057643890381,
288
+ "learning_rate": 9.069767441860465e-06,
289
+ "loss": 0.5548,
290
+ "step": 40
291
+ },
292
+ {
293
+ "epoch": 0.28805620608899296,
294
+ "grad_norm": 0.9216372966766357,
295
+ "learning_rate": 9.30232558139535e-06,
296
+ "loss": 0.5724,
297
+ "step": 41
298
+ },
299
+ {
300
+ "epoch": 0.29508196721311475,
301
+ "grad_norm": 1.006893277168274,
302
+ "learning_rate": 9.534883720930234e-06,
303
+ "loss": 0.5813,
304
+ "step": 42
305
+ },
306
+ {
307
+ "epoch": 0.30210772833723654,
308
+ "grad_norm": 0.9753144383430481,
309
+ "learning_rate": 9.767441860465117e-06,
310
+ "loss": 0.5982,
311
+ "step": 43
312
+ },
313
+ {
314
+ "epoch": 0.3091334894613583,
315
+ "grad_norm": 0.8903833627700806,
316
+ "learning_rate": 1e-05,
317
+ "loss": 0.5235,
318
+ "step": 44
319
+ },
320
+ {
321
+ "epoch": 0.3161592505854801,
322
+ "grad_norm": 0.8771428465843201,
323
+ "learning_rate": 9.99983179466314e-06,
324
+ "loss": 0.5212,
325
+ "step": 45
326
+ },
327
+ {
328
+ "epoch": 0.3231850117096019,
329
+ "grad_norm": 0.8775717616081238,
330
+ "learning_rate": 9.999327189969768e-06,
331
+ "loss": 0.5614,
332
+ "step": 46
333
+ },
334
+ {
335
+ "epoch": 0.33021077283372363,
336
+ "grad_norm": 1.019813060760498,
337
+ "learning_rate": 9.998486219870769e-06,
338
+ "loss": 0.6111,
339
+ "step": 47
340
+ },
341
+ {
342
+ "epoch": 0.3372365339578454,
343
+ "grad_norm": 0.8810835480690002,
344
+ "learning_rate": 9.997308940948405e-06,
345
+ "loss": 0.5876,
346
+ "step": 48
347
+ },
348
+ {
349
+ "epoch": 0.3442622950819672,
350
+ "grad_norm": 0.9496193528175354,
351
+ "learning_rate": 9.995795432412513e-06,
352
+ "loss": 0.5635,
353
+ "step": 49
354
+ },
355
+ {
356
+ "epoch": 0.351288056206089,
357
+ "grad_norm": 0.8718122839927673,
358
+ "learning_rate": 9.993945796095183e-06,
359
+ "loss": 0.516,
360
+ "step": 50
361
+ },
362
+ {
363
+ "epoch": 0.3583138173302108,
364
+ "grad_norm": 0.9371446371078491,
365
+ "learning_rate": 9.991760156443892e-06,
366
+ "loss": 0.6481,
367
+ "step": 51
368
+ },
369
+ {
370
+ "epoch": 0.36533957845433257,
371
+ "grad_norm": 0.9381894469261169,
372
+ "learning_rate": 9.989238660513141e-06,
373
+ "loss": 0.5661,
374
+ "step": 52
375
+ },
376
+ {
377
+ "epoch": 0.37236533957845436,
378
+ "grad_norm": 0.8230867385864258,
379
+ "learning_rate": 9.98638147795456e-06,
380
+ "loss": 0.5359,
381
+ "step": 53
382
+ },
383
+ {
384
+ "epoch": 0.3793911007025761,
385
+ "grad_norm": 0.8313586115837097,
386
+ "learning_rate": 9.983188801005492e-06,
387
+ "loss": 0.5787,
388
+ "step": 54
389
+ },
390
+ {
391
+ "epoch": 0.3864168618266979,
392
+ "grad_norm": 0.9128983616828918,
393
+ "learning_rate": 9.979660844476056e-06,
394
+ "loss": 0.5941,
395
+ "step": 55
396
+ },
397
+ {
398
+ "epoch": 0.39344262295081966,
399
+ "grad_norm": 0.9168326258659363,
400
+ "learning_rate": 9.975797845734699e-06,
401
+ "loss": 0.5344,
402
+ "step": 56
403
+ },
404
+ {
405
+ "epoch": 0.40046838407494145,
406
+ "grad_norm": 0.8436552286148071,
407
+ "learning_rate": 9.971600064692222e-06,
408
+ "loss": 0.5526,
409
+ "step": 57
410
+ },
411
+ {
412
+ "epoch": 0.40749414519906324,
413
+ "grad_norm": 0.910169780254364,
414
+ "learning_rate": 9.967067783784297e-06,
415
+ "loss": 0.5758,
416
+ "step": 58
417
+ },
418
+ {
419
+ "epoch": 0.41451990632318503,
420
+ "grad_norm": 0.9464594721794128,
421
+ "learning_rate": 9.962201307952455e-06,
422
+ "loss": 0.5689,
423
+ "step": 59
424
+ },
425
+ {
426
+ "epoch": 0.4215456674473068,
427
+ "grad_norm": 0.8791322112083435,
428
+ "learning_rate": 9.957000964623585e-06,
429
+ "loss": 0.5275,
430
+ "step": 60
431
+ },
432
+ {
433
+ "epoch": 0.42857142857142855,
434
+ "grad_norm": 0.7610299587249756,
435
+ "learning_rate": 9.951467103687879e-06,
436
+ "loss": 0.5131,
437
+ "step": 61
438
+ },
439
+ {
440
+ "epoch": 0.43559718969555034,
441
+ "grad_norm": 0.8980028629302979,
442
+ "learning_rate": 9.945600097475322e-06,
443
+ "loss": 0.5849,
444
+ "step": 62
445
+ },
446
+ {
447
+ "epoch": 0.4426229508196721,
448
+ "grad_norm": 0.8086323738098145,
449
+ "learning_rate": 9.939400340730611e-06,
450
+ "loss": 0.5466,
451
+ "step": 63
452
+ },
453
+ {
454
+ "epoch": 0.4496487119437939,
455
+ "grad_norm": 0.7332218289375305,
456
+ "learning_rate": 9.932868250586619e-06,
457
+ "loss": 0.4886,
458
+ "step": 64
459
+ },
460
+ {
461
+ "epoch": 0.4566744730679157,
462
+ "grad_norm": 0.804356575012207,
463
+ "learning_rate": 9.926004266536314e-06,
464
+ "loss": 0.5459,
465
+ "step": 65
466
+ },
467
+ {
468
+ "epoch": 0.4637002341920375,
469
+ "grad_norm": 0.8725134134292603,
470
+ "learning_rate": 9.918808850403192e-06,
471
+ "loss": 0.5319,
472
+ "step": 66
473
+ },
474
+ {
475
+ "epoch": 0.4707259953161593,
476
+ "grad_norm": 1.0051013231277466,
477
+ "learning_rate": 9.911282486310214e-06,
478
+ "loss": 0.6205,
479
+ "step": 67
480
+ },
481
+ {
482
+ "epoch": 0.477751756440281,
483
+ "grad_norm": 0.8478599786758423,
484
+ "learning_rate": 9.903425680647225e-06,
485
+ "loss": 0.4813,
486
+ "step": 68
487
+ },
488
+ {
489
+ "epoch": 0.4847775175644028,
490
+ "grad_norm": 1.0624728202819824,
491
+ "learning_rate": 9.895238962036878e-06,
492
+ "loss": 0.5635,
493
+ "step": 69
494
+ },
495
+ {
496
+ "epoch": 0.4918032786885246,
497
+ "grad_norm": 0.9066529273986816,
498
+ "learning_rate": 9.88672288129908e-06,
499
+ "loss": 0.5122,
500
+ "step": 70
501
+ },
502
+ {
503
+ "epoch": 0.49882903981264637,
504
+ "grad_norm": 0.9527250528335571,
505
+ "learning_rate": 9.877878011413924e-06,
506
+ "loss": 0.5768,
507
+ "step": 71
508
+ },
509
+ {
510
+ "epoch": 0.5058548009367682,
511
+ "grad_norm": 0.8591968417167664,
512
+ "learning_rate": 9.868704947483134e-06,
513
+ "loss": 0.5522,
514
+ "step": 72
515
+ },
516
+ {
517
+ "epoch": 0.5128805620608899,
518
+ "grad_norm": 0.8399043083190918,
519
+ "learning_rate": 9.859204306690038e-06,
520
+ "loss": 0.5652,
521
+ "step": 73
522
+ },
523
+ {
524
+ "epoch": 0.5199063231850117,
525
+ "grad_norm": 0.8005277514457703,
526
+ "learning_rate": 9.849376728258024e-06,
527
+ "loss": 0.5292,
528
+ "step": 74
529
+ },
530
+ {
531
+ "epoch": 0.5269320843091335,
532
+ "grad_norm": 0.8883223533630371,
533
+ "learning_rate": 9.839222873407553e-06,
534
+ "loss": 0.5303,
535
+ "step": 75
536
+ },
537
+ {
538
+ "epoch": 0.5339578454332553,
539
+ "grad_norm": 0.8855736255645752,
540
+ "learning_rate": 9.828743425311654e-06,
541
+ "loss": 0.5033,
542
+ "step": 76
543
+ },
544
+ {
545
+ "epoch": 0.5409836065573771,
546
+ "grad_norm": 0.7898836135864258,
547
+ "learning_rate": 9.817939089049964e-06,
548
+ "loss": 0.4858,
549
+ "step": 77
550
+ },
551
+ {
552
+ "epoch": 0.5480093676814989,
553
+ "grad_norm": 0.8595909476280212,
554
+ "learning_rate": 9.806810591561295e-06,
555
+ "loss": 0.5326,
556
+ "step": 78
557
+ },
558
+ {
559
+ "epoch": 0.5550351288056206,
560
+ "grad_norm": 1.1396889686584473,
561
+ "learning_rate": 9.795358681594712e-06,
562
+ "loss": 0.5686,
563
+ "step": 79
564
+ },
565
+ {
566
+ "epoch": 0.5620608899297423,
567
+ "grad_norm": 1.002563238143921,
568
+ "learning_rate": 9.783584129659162e-06,
569
+ "loss": 0.5446,
570
+ "step": 80
571
+ },
572
+ {
573
+ "epoch": 0.5690866510538641,
574
+ "grad_norm": 0.8612224459648132,
575
+ "learning_rate": 9.771487727971642e-06,
576
+ "loss": 0.5278,
577
+ "step": 81
578
+ },
579
+ {
580
+ "epoch": 0.5761124121779859,
581
+ "grad_norm": 0.7524361610412598,
582
+ "learning_rate": 9.759070290403873e-06,
583
+ "loss": 0.5276,
584
+ "step": 82
585
+ },
586
+ {
587
+ "epoch": 0.5831381733021077,
588
+ "grad_norm": 0.9360653162002563,
589
+ "learning_rate": 9.746332652427566e-06,
590
+ "loss": 0.5577,
591
+ "step": 83
592
+ },
593
+ {
594
+ "epoch": 0.5901639344262295,
595
+ "grad_norm": 0.9080122113227844,
596
+ "learning_rate": 9.733275671058195e-06,
597
+ "loss": 0.5362,
598
+ "step": 84
599
+ },
600
+ {
601
+ "epoch": 0.5971896955503513,
602
+ "grad_norm": 0.8351691961288452,
603
+ "learning_rate": 9.71990022479734e-06,
604
+ "loss": 0.5188,
605
+ "step": 85
606
+ },
607
+ {
608
+ "epoch": 0.6042154566744731,
609
+ "grad_norm": 0.821236252784729,
610
+ "learning_rate": 9.70620721357358e-06,
611
+ "loss": 0.5184,
612
+ "step": 86
613
+ },
614
+ {
615
+ "epoch": 0.6112412177985949,
616
+ "grad_norm": 0.9071369171142578,
617
+ "learning_rate": 9.69219755868194e-06,
618
+ "loss": 0.5525,
619
+ "step": 87
620
+ },
621
+ {
622
+ "epoch": 0.6182669789227166,
623
+ "grad_norm": 0.9066632986068726,
624
+ "learning_rate": 9.677872202721906e-06,
625
+ "loss": 0.6103,
626
+ "step": 88
627
+ },
628
+ {
629
+ "epoch": 0.6252927400468384,
630
+ "grad_norm": 0.8524773120880127,
631
+ "learning_rate": 9.663232109534011e-06,
632
+ "loss": 0.4937,
633
+ "step": 89
634
+ },
635
+ {
636
+ "epoch": 0.6323185011709602,
637
+ "grad_norm": 0.8702455759048462,
638
+ "learning_rate": 9.648278264134977e-06,
639
+ "loss": 0.4613,
640
+ "step": 90
641
+ },
642
+ {
643
+ "epoch": 0.639344262295082,
644
+ "grad_norm": 0.8476565480232239,
645
+ "learning_rate": 9.633011672651443e-06,
646
+ "loss": 0.5421,
647
+ "step": 91
648
+ },
649
+ {
650
+ "epoch": 0.6463700234192038,
651
+ "grad_norm": 0.7731307744979858,
652
+ "learning_rate": 9.617433362252277e-06,
653
+ "loss": 0.5133,
654
+ "step": 92
655
+ },
656
+ {
657
+ "epoch": 0.6533957845433255,
658
+ "grad_norm": 0.8306621313095093,
659
+ "learning_rate": 9.601544381079457e-06,
660
+ "loss": 0.5665,
661
+ "step": 93
662
+ },
663
+ {
664
+ "epoch": 0.6604215456674473,
665
+ "grad_norm": 0.8650710582733154,
666
+ "learning_rate": 9.585345798177557e-06,
667
+ "loss": 0.4941,
668
+ "step": 94
669
+ },
670
+ {
671
+ "epoch": 0.667447306791569,
672
+ "grad_norm": 0.8899430632591248,
673
+ "learning_rate": 9.56883870342181e-06,
674
+ "loss": 0.4759,
675
+ "step": 95
676
+ },
677
+ {
678
+ "epoch": 0.6744730679156908,
679
+ "grad_norm": 0.8613656759262085,
680
+ "learning_rate": 9.552024207444794e-06,
681
+ "loss": 0.5644,
682
+ "step": 96
683
+ },
684
+ {
685
+ "epoch": 0.6814988290398126,
686
+ "grad_norm": 0.9278618097305298,
687
+ "learning_rate": 9.534903441561693e-06,
688
+ "loss": 0.5615,
689
+ "step": 97
690
+ },
691
+ {
692
+ "epoch": 0.6885245901639344,
693
+ "grad_norm": 0.9220278263092041,
694
+ "learning_rate": 9.517477557694182e-06,
695
+ "loss": 0.5735,
696
+ "step": 98
697
+ },
698
+ {
699
+ "epoch": 0.6955503512880562,
700
+ "grad_norm": 0.8179577589035034,
701
+ "learning_rate": 9.499747728292928e-06,
702
+ "loss": 0.4838,
703
+ "step": 99
704
+ },
705
+ {
706
+ "epoch": 0.702576112412178,
707
+ "grad_norm": 0.903998851776123,
708
+ "learning_rate": 9.481715146258699e-06,
709
+ "loss": 0.583,
710
+ "step": 100
711
+ },
712
+ {
713
+ "epoch": 0.7096018735362998,
714
+ "grad_norm": 0.9776198863983154,
715
+ "learning_rate": 9.463381024862116e-06,
716
+ "loss": 0.5629,
717
+ "step": 101
718
+ },
719
+ {
720
+ "epoch": 0.7166276346604216,
721
+ "grad_norm": 0.830189049243927,
722
+ "learning_rate": 9.444746597662e-06,
723
+ "loss": 0.5186,
724
+ "step": 102
725
+ },
726
+ {
727
+ "epoch": 0.7236533957845434,
728
+ "grad_norm": 0.894983172416687,
729
+ "learning_rate": 9.425813118422393e-06,
730
+ "loss": 0.5929,
731
+ "step": 103
732
+ },
733
+ {
734
+ "epoch": 0.7306791569086651,
735
+ "grad_norm": 0.9019003510475159,
736
+ "learning_rate": 9.406581861028199e-06,
737
+ "loss": 0.4721,
738
+ "step": 104
739
+ },
740
+ {
741
+ "epoch": 0.7377049180327869,
742
+ "grad_norm": 0.8638082146644592,
743
+ "learning_rate": 9.387054119399466e-06,
744
+ "loss": 0.5086,
745
+ "step": 105
746
+ },
747
+ {
748
+ "epoch": 0.7447306791569087,
749
+ "grad_norm": 0.961375892162323,
750
+ "learning_rate": 9.36723120740434e-06,
751
+ "loss": 0.5382,
752
+ "step": 106
753
+ },
754
+ {
755
+ "epoch": 0.7517564402810304,
756
+ "grad_norm": 0.8464214205741882,
757
+ "learning_rate": 9.347114458770656e-06,
758
+ "loss": 0.514,
759
+ "step": 107
760
+ },
761
+ {
762
+ "epoch": 0.7587822014051522,
763
+ "grad_norm": 0.8622469305992126,
764
+ "learning_rate": 9.326705226996207e-06,
765
+ "loss": 0.5179,
766
+ "step": 108
767
+ },
768
+ {
769
+ "epoch": 0.765807962529274,
770
+ "grad_norm": 0.980879545211792,
771
+ "learning_rate": 9.306004885257675e-06,
772
+ "loss": 0.5395,
773
+ "step": 109
774
+ },
775
+ {
776
+ "epoch": 0.7728337236533958,
777
+ "grad_norm": 0.901023268699646,
778
+ "learning_rate": 9.28501482631824e-06,
779
+ "loss": 0.5406,
780
+ "step": 110
781
+ },
782
+ {
783
+ "epoch": 0.7798594847775175,
784
+ "grad_norm": 0.8403215408325195,
785
+ "learning_rate": 9.26373646243388e-06,
786
+ "loss": 0.5313,
787
+ "step": 111
788
+ },
789
+ {
790
+ "epoch": 0.7868852459016393,
791
+ "grad_norm": 0.868764340877533,
792
+ "learning_rate": 9.242171225258336e-06,
793
+ "loss": 0.498,
794
+ "step": 112
795
+ },
796
+ {
797
+ "epoch": 0.7939110070257611,
798
+ "grad_norm": 0.7906497716903687,
799
+ "learning_rate": 9.220320565746806e-06,
800
+ "loss": 0.5263,
801
+ "step": 113
802
+ },
803
+ {
804
+ "epoch": 0.8009367681498829,
805
+ "grad_norm": 0.8329947590827942,
806
+ "learning_rate": 9.198185954058305e-06,
807
+ "loss": 0.4941,
808
+ "step": 114
809
+ },
810
+ {
811
+ "epoch": 0.8079625292740047,
812
+ "grad_norm": 0.8946017622947693,
813
+ "learning_rate": 9.175768879456759e-06,
814
+ "loss": 0.4953,
815
+ "step": 115
816
+ },
817
+ {
818
+ "epoch": 0.8149882903981265,
819
+ "grad_norm": 0.7878472208976746,
820
+ "learning_rate": 9.153070850210803e-06,
821
+ "loss": 0.4857,
822
+ "step": 116
823
+ },
824
+ {
825
+ "epoch": 0.8220140515222483,
826
+ "grad_norm": 0.8317592740058899,
827
+ "learning_rate": 9.130093393492302e-06,
828
+ "loss": 0.508,
829
+ "step": 117
830
+ },
831
+ {
832
+ "epoch": 0.8290398126463701,
833
+ "grad_norm": 0.9189662337303162,
834
+ "learning_rate": 9.106838055273589e-06,
835
+ "loss": 0.5354,
836
+ "step": 118
837
+ },
838
+ {
839
+ "epoch": 0.8360655737704918,
840
+ "grad_norm": 0.8089627623558044,
841
+ "learning_rate": 9.083306400223465e-06,
842
+ "loss": 0.5021,
843
+ "step": 119
844
+ },
845
+ {
846
+ "epoch": 0.8430913348946136,
847
+ "grad_norm": 0.7785940170288086,
848
+ "learning_rate": 9.059500011601919e-06,
849
+ "loss": 0.4905,
850
+ "step": 120
851
+ },
852
+ {
853
+ "epoch": 0.8501170960187353,
854
+ "grad_norm": 0.816950261592865,
855
+ "learning_rate": 9.035420491153596e-06,
856
+ "loss": 0.5299,
857
+ "step": 121
858
+ },
859
+ {
860
+ "epoch": 0.8571428571428571,
861
+ "grad_norm": 0.794824481010437,
862
+ "learning_rate": 9.011069459000035e-06,
863
+ "loss": 0.4801,
864
+ "step": 122
865
+ },
866
+ {
867
+ "epoch": 0.8641686182669789,
868
+ "grad_norm": 0.8010877370834351,
869
+ "learning_rate": 8.986448553530665e-06,
870
+ "loss": 0.492,
871
+ "step": 123
872
+ },
873
+ {
874
+ "epoch": 0.8711943793911007,
875
+ "grad_norm": 0.8579709529876709,
876
+ "learning_rate": 8.961559431292562e-06,
877
+ "loss": 0.4774,
878
+ "step": 124
879
+ },
880
+ {
881
+ "epoch": 0.8782201405152225,
882
+ "grad_norm": 0.7804529666900635,
883
+ "learning_rate": 8.936403766879003e-06,
884
+ "loss": 0.4615,
885
+ "step": 125
886
+ },
887
+ {
888
+ "epoch": 0.8852459016393442,
889
+ "grad_norm": 0.8179356455802917,
890
+ "learning_rate": 8.910983252816794e-06,
891
+ "loss": 0.4974,
892
+ "step": 126
893
+ },
894
+ {
895
+ "epoch": 0.892271662763466,
896
+ "grad_norm": 0.9173282384872437,
897
+ "learning_rate": 8.885299599452381e-06,
898
+ "loss": 0.496,
899
+ "step": 127
900
+ },
901
+ {
902
+ "epoch": 0.8992974238875878,
903
+ "grad_norm": 0.785065233707428,
904
+ "learning_rate": 8.859354534836797e-06,
905
+ "loss": 0.4637,
906
+ "step": 128
907
+ },
908
+ {
909
+ "epoch": 0.9063231850117096,
910
+ "grad_norm": 0.8229131102561951,
911
+ "learning_rate": 8.833149804609372e-06,
912
+ "loss": 0.5046,
913
+ "step": 129
914
+ },
915
+ {
916
+ "epoch": 0.9133489461358314,
917
+ "grad_norm": 0.7581368684768677,
918
+ "learning_rate": 8.806687171880298e-06,
919
+ "loss": 0.49,
920
+ "step": 130
921
+ },
922
+ {
923
+ "epoch": 0.9203747072599532,
924
+ "grad_norm": 0.8826923966407776,
925
+ "learning_rate": 8.779968417111991e-06,
926
+ "loss": 0.5804,
927
+ "step": 131
928
+ },
929
+ {
930
+ "epoch": 0.927400468384075,
931
+ "grad_norm": 0.8899806141853333,
932
+ "learning_rate": 8.752995337999316e-06,
933
+ "loss": 0.5149,
934
+ "step": 132
935
+ },
936
+ {
937
+ "epoch": 0.9344262295081968,
938
+ "grad_norm": 0.8376835584640503,
939
+ "learning_rate": 8.725769749348612e-06,
940
+ "loss": 0.5149,
941
+ "step": 133
942
+ },
943
+ {
944
+ "epoch": 0.9414519906323185,
945
+ "grad_norm": 0.890254557132721,
946
+ "learning_rate": 8.698293482955605e-06,
947
+ "loss": 0.5291,
948
+ "step": 134
949
+ },
950
+ {
951
+ "epoch": 0.9484777517564403,
952
+ "grad_norm": 0.925977349281311,
953
+ "learning_rate": 8.670568387482153e-06,
954
+ "loss": 0.5072,
955
+ "step": 135
956
+ },
957
+ {
958
+ "epoch": 0.955503512880562,
959
+ "grad_norm": 0.8560639023780823,
960
+ "learning_rate": 8.642596328331864e-06,
961
+ "loss": 0.4863,
962
+ "step": 136
963
+ },
964
+ {
965
+ "epoch": 0.9625292740046838,
966
+ "grad_norm": 0.8338841199874878,
967
+ "learning_rate": 8.614379187524593e-06,
968
+ "loss": 0.4843,
969
+ "step": 137
970
+ },
971
+ {
972
+ "epoch": 0.9695550351288056,
973
+ "grad_norm": 0.7932563424110413,
974
+ "learning_rate": 8.585918863569806e-06,
975
+ "loss": 0.5084,
976
+ "step": 138
977
+ },
978
+ {
979
+ "epoch": 0.9765807962529274,
980
+ "grad_norm": 0.8398274183273315,
981
+ "learning_rate": 8.55721727133886e-06,
982
+ "loss": 0.5292,
983
+ "step": 139
984
+ },
985
+ {
986
+ "epoch": 0.9836065573770492,
987
+ "grad_norm": 0.8969703912734985,
988
+ "learning_rate": 8.528276341936146e-06,
989
+ "loss": 0.499,
990
+ "step": 140
991
+ },
992
+ {
993
+ "epoch": 0.990632318501171,
994
+ "grad_norm": 0.9116531014442444,
995
+ "learning_rate": 8.499098022569177e-06,
996
+ "loss": 0.5519,
997
+ "step": 141
998
+ },
999
+ {
1000
+ "epoch": 0.9976580796252927,
1001
+ "grad_norm": 0.79449063539505,
1002
+ "learning_rate": 8.469684276417568e-06,
1003
+ "loss": 0.493,
1004
+ "step": 142
1005
+ },
1006
+ {
1007
+ "epoch": 1.0,
1008
+ "grad_norm": 0.79449063539505,
1009
+ "learning_rate": 8.440037082500953e-06,
1010
+ "loss": 0.5449,
1011
+ "step": 143
1012
+ },
1013
+ {
1014
+ "epoch": 1.0070257611241218,
1015
+ "grad_norm": 1.5884685516357422,
1016
+ "learning_rate": 8.410158435545825e-06,
1017
+ "loss": 0.3758,
1018
+ "step": 144
1019
+ },
1020
+ {
1021
+ "epoch": 1.0140515222482436,
1022
+ "grad_norm": 0.7242723703384399,
1023
+ "learning_rate": 8.380050345851338e-06,
1024
+ "loss": 0.3874,
1025
+ "step": 145
1026
+ },
1027
+ {
1028
+ "epoch": 1.0210772833723654,
1029
+ "grad_norm": 0.8061760663986206,
1030
+ "learning_rate": 8.349714839154035e-06,
1031
+ "loss": 0.3925,
1032
+ "step": 146
1033
+ },
1034
+ {
1035
+ "epoch": 1.0281030444964872,
1036
+ "grad_norm": 0.7909725308418274,
1037
+ "learning_rate": 8.319153956491567e-06,
1038
+ "loss": 0.3708,
1039
+ "step": 147
1040
+ },
1041
+ {
1042
+ "epoch": 1.035128805620609,
1043
+ "grad_norm": 0.7591220140457153,
1044
+ "learning_rate": 8.288369754065362e-06,
1045
+ "loss": 0.4101,
1046
+ "step": 148
1047
+ },
1048
+ {
1049
+ "epoch": 1.0421545667447307,
1050
+ "grad_norm": 0.8976166248321533,
1051
+ "learning_rate": 8.257364303102275e-06,
1052
+ "loss": 0.3982,
1053
+ "step": 149
1054
+ },
1055
+ {
1056
+ "epoch": 1.0491803278688525,
1057
+ "grad_norm": 0.8035207390785217,
1058
+ "learning_rate": 8.226139689715233e-06,
1059
+ "loss": 0.4387,
1060
+ "step": 150
1061
+ },
1062
+ {
1063
+ "epoch": 1.0562060889929743,
1064
+ "grad_norm": 0.8196238875389099,
1065
+ "learning_rate": 8.19469801476288e-06,
1066
+ "loss": 0.3351,
1067
+ "step": 151
1068
+ },
1069
+ {
1070
+ "epoch": 1.063231850117096,
1071
+ "grad_norm": 0.817166268825531,
1072
+ "learning_rate": 8.16304139370823e-06,
1073
+ "loss": 0.4093,
1074
+ "step": 152
1075
+ },
1076
+ {
1077
+ "epoch": 1.0702576112412179,
1078
+ "grad_norm": 0.7433443069458008,
1079
+ "learning_rate": 8.131171956476328e-06,
1080
+ "loss": 0.3781,
1081
+ "step": 153
1082
+ },
1083
+ {
1084
+ "epoch": 1.0772833723653397,
1085
+ "grad_norm": 0.9531522989273071,
1086
+ "learning_rate": 8.09909184731094e-06,
1087
+ "loss": 0.3705,
1088
+ "step": 154
1089
+ },
1090
+ {
1091
+ "epoch": 1.0843091334894615,
1092
+ "grad_norm": 0.8055714964866638,
1093
+ "learning_rate": 8.066803224630295e-06,
1094
+ "loss": 0.4005,
1095
+ "step": 155
1096
+ },
1097
+ {
1098
+ "epoch": 1.0913348946135832,
1099
+ "grad_norm": 0.8769353032112122,
1100
+ "learning_rate": 8.034308260881854e-06,
1101
+ "loss": 0.3681,
1102
+ "step": 156
1103
+ },
1104
+ {
1105
+ "epoch": 1.098360655737705,
1106
+ "grad_norm": 0.8800336122512817,
1107
+ "learning_rate": 8.00160914239615e-06,
1108
+ "loss": 0.4282,
1109
+ "step": 157
1110
+ },
1111
+ {
1112
+ "epoch": 1.1053864168618266,
1113
+ "grad_norm": 0.9371667504310608,
1114
+ "learning_rate": 7.968708069239672e-06,
1115
+ "loss": 0.4118,
1116
+ "step": 158
1117
+ },
1118
+ {
1119
+ "epoch": 1.1124121779859484,
1120
+ "grad_norm": 0.8565946221351624,
1121
+ "learning_rate": 7.935607255066867e-06,
1122
+ "loss": 0.3738,
1123
+ "step": 159
1124
+ },
1125
+ {
1126
+ "epoch": 1.1194379391100702,
1127
+ "grad_norm": 0.8784101009368896,
1128
+ "learning_rate": 7.902308926971166e-06,
1129
+ "loss": 0.3967,
1130
+ "step": 160
1131
+ },
1132
+ {
1133
+ "epoch": 1.126463700234192,
1134
+ "grad_norm": 1.0153743028640747,
1135
+ "learning_rate": 7.868815325335168e-06,
1136
+ "loss": 0.3859,
1137
+ "step": 161
1138
+ },
1139
+ {
1140
+ "epoch": 1.1334894613583137,
1141
+ "grad_norm": 0.8309473395347595,
1142
+ "learning_rate": 7.835128703679896e-06,
1143
+ "loss": 0.3819,
1144
+ "step": 162
1145
+ },
1146
+ {
1147
+ "epoch": 1.1405152224824355,
1148
+ "grad_norm": 0.9688546657562256,
1149
+ "learning_rate": 7.801251328513164e-06,
1150
+ "loss": 0.369,
1151
+ "step": 163
1152
+ },
1153
+ {
1154
+ "epoch": 1.1475409836065573,
1155
+ "grad_norm": 0.9814655780792236,
1156
+ "learning_rate": 7.767185479177092e-06,
1157
+ "loss": 0.3937,
1158
+ "step": 164
1159
+ },
1160
+ {
1161
+ "epoch": 1.154566744730679,
1162
+ "grad_norm": 0.8167277574539185,
1163
+ "learning_rate": 7.732933447694748e-06,
1164
+ "loss": 0.3615,
1165
+ "step": 165
1166
+ },
1167
+ {
1168
+ "epoch": 1.161592505854801,
1169
+ "grad_norm": 0.8000278472900391,
1170
+ "learning_rate": 7.698497538615928e-06,
1171
+ "loss": 0.3609,
1172
+ "step": 166
1173
+ },
1174
+ {
1175
+ "epoch": 1.1686182669789227,
1176
+ "grad_norm": 0.947628915309906,
1177
+ "learning_rate": 7.663880068862106e-06,
1178
+ "loss": 0.3906,
1179
+ "step": 167
1180
+ },
1181
+ {
1182
+ "epoch": 1.1756440281030445,
1183
+ "grad_norm": 1.0247867107391357,
1184
+ "learning_rate": 7.629083367570547e-06,
1185
+ "loss": 0.3896,
1186
+ "step": 168
1187
+ },
1188
+ {
1189
+ "epoch": 1.1826697892271663,
1190
+ "grad_norm": 0.8357716798782349,
1191
+ "learning_rate": 7.594109775937595e-06,
1192
+ "loss": 0.3945,
1193
+ "step": 169
1194
+ },
1195
+ {
1196
+ "epoch": 1.189695550351288,
1197
+ "grad_norm": 0.8735799789428711,
1198
+ "learning_rate": 7.558961647061156e-06,
1199
+ "loss": 0.3352,
1200
+ "step": 170
1201
+ },
1202
+ {
1203
+ "epoch": 1.1967213114754098,
1204
+ "grad_norm": 0.8040913343429565,
1205
+ "learning_rate": 7.5236413457823745e-06,
1206
+ "loss": 0.3503,
1207
+ "step": 171
1208
+ },
1209
+ {
1210
+ "epoch": 1.2037470725995316,
1211
+ "grad_norm": 0.7816208004951477,
1212
+ "learning_rate": 7.488151248526518e-06,
1213
+ "loss": 0.3538,
1214
+ "step": 172
1215
+ },
1216
+ {
1217
+ "epoch": 1.2107728337236534,
1218
+ "grad_norm": 0.9761932492256165,
1219
+ "learning_rate": 7.452493743143092e-06,
1220
+ "loss": 0.4321,
1221
+ "step": 173
1222
+ },
1223
+ {
1224
+ "epoch": 1.2177985948477752,
1225
+ "grad_norm": 0.8688777685165405,
1226
+ "learning_rate": 7.416671228745181e-06,
1227
+ "loss": 0.3621,
1228
+ "step": 174
1229
+ },
1230
+ {
1231
+ "epoch": 1.224824355971897,
1232
+ "grad_norm": 0.8514328598976135,
1233
+ "learning_rate": 7.380686115548024e-06,
1234
+ "loss": 0.3761,
1235
+ "step": 175
1236
+ },
1237
+ {
1238
+ "epoch": 1.2318501170960188,
1239
+ "grad_norm": 0.9079273343086243,
1240
+ "learning_rate": 7.344540824706855e-06,
1241
+ "loss": 0.3883,
1242
+ "step": 176
1243
+ },
1244
+ {
1245
+ "epoch": 1.2388758782201406,
1246
+ "grad_norm": 0.8788741230964661,
1247
+ "learning_rate": 7.3082377881540025e-06,
1248
+ "loss": 0.3823,
1249
+ "step": 177
1250
+ },
1251
+ {
1252
+ "epoch": 1.2459016393442623,
1253
+ "grad_norm": 0.9224140048027039,
1254
+ "learning_rate": 7.271779448435265e-06,
1255
+ "loss": 0.3878,
1256
+ "step": 178
1257
+ },
1258
+ {
1259
+ "epoch": 1.2529274004683841,
1260
+ "grad_norm": 0.9597893953323364,
1261
+ "learning_rate": 7.235168258545569e-06,
1262
+ "loss": 0.396,
1263
+ "step": 179
1264
+ },
1265
+ {
1266
+ "epoch": 1.259953161592506,
1267
+ "grad_norm": 0.9831250905990601,
1268
+ "learning_rate": 7.198406681763925e-06,
1269
+ "loss": 0.4016,
1270
+ "step": 180
1271
+ },
1272
+ {
1273
+ "epoch": 1.2669789227166277,
1274
+ "grad_norm": 0.7527312636375427,
1275
+ "learning_rate": 7.161497191487693e-06,
1276
+ "loss": 0.3753,
1277
+ "step": 181
1278
+ },
1279
+ {
1280
+ "epoch": 1.2740046838407495,
1281
+ "grad_norm": 0.8753437995910645,
1282
+ "learning_rate": 7.124442271066174e-06,
1283
+ "loss": 0.3785,
1284
+ "step": 182
1285
+ },
1286
+ {
1287
+ "epoch": 1.281030444964871,
1288
+ "grad_norm": 0.8575742244720459,
1289
+ "learning_rate": 7.087244413633516e-06,
1290
+ "loss": 0.3865,
1291
+ "step": 183
1292
+ },
1293
+ {
1294
+ "epoch": 1.288056206088993,
1295
+ "grad_norm": 0.9315704107284546,
1296
+ "learning_rate": 7.049906121940974e-06,
1297
+ "loss": 0.3672,
1298
+ "step": 184
1299
+ },
1300
+ {
1301
+ "epoch": 1.2950819672131146,
1302
+ "grad_norm": 0.8974071145057678,
1303
+ "learning_rate": 7.012429908188523e-06,
1304
+ "loss": 0.3426,
1305
+ "step": 185
1306
+ },
1307
+ {
1308
+ "epoch": 1.3021077283372366,
1309
+ "grad_norm": 0.8448013663291931,
1310
+ "learning_rate": 6.9748182938558225e-06,
1311
+ "loss": 0.4294,
1312
+ "step": 186
1313
+ },
1314
+ {
1315
+ "epoch": 1.3091334894613582,
1316
+ "grad_norm": 0.9331867098808289,
1317
+ "learning_rate": 6.937073809532581e-06,
1318
+ "loss": 0.3471,
1319
+ "step": 187
1320
+ },
1321
+ {
1322
+ "epoch": 1.3161592505854802,
1323
+ "grad_norm": 0.8858427405357361,
1324
+ "learning_rate": 6.899198994748274e-06,
1325
+ "loss": 0.3278,
1326
+ "step": 188
1327
+ },
1328
+ {
1329
+ "epoch": 1.3231850117096018,
1330
+ "grad_norm": 0.7780877947807312,
1331
+ "learning_rate": 6.861196397801297e-06,
1332
+ "loss": 0.3667,
1333
+ "step": 189
1334
+ },
1335
+ {
1336
+ "epoch": 1.3302107728337236,
1337
+ "grad_norm": 0.8207154870033264,
1338
+ "learning_rate": 6.823068575587496e-06,
1339
+ "loss": 0.3489,
1340
+ "step": 190
1341
+ },
1342
+ {
1343
+ "epoch": 1.3372365339578454,
1344
+ "grad_norm": 0.8746094703674316,
1345
+ "learning_rate": 6.784818093428144e-06,
1346
+ "loss": 0.3779,
1347
+ "step": 191
1348
+ },
1349
+ {
1350
+ "epoch": 1.3442622950819672,
1351
+ "grad_norm": 0.7831175327301025,
1352
+ "learning_rate": 6.746447524897335e-06,
1353
+ "loss": 0.3771,
1354
+ "step": 192
1355
+ },
1356
+ {
1357
+ "epoch": 1.351288056206089,
1358
+ "grad_norm": 1.0498249530792236,
1359
+ "learning_rate": 6.70795945164883e-06,
1360
+ "loss": 0.3814,
1361
+ "step": 193
1362
+ },
1363
+ {
1364
+ "epoch": 1.3583138173302107,
1365
+ "grad_norm": 1.0242481231689453,
1366
+ "learning_rate": 6.6693564632423626e-06,
1367
+ "loss": 0.3562,
1368
+ "step": 194
1369
+ },
1370
+ {
1371
+ "epoch": 1.3653395784543325,
1372
+ "grad_norm": 0.8702220916748047,
1373
+ "learning_rate": 6.630641156969397e-06,
1374
+ "loss": 0.3702,
1375
+ "step": 195
1376
+ },
1377
+ {
1378
+ "epoch": 1.3723653395784543,
1379
+ "grad_norm": 0.9588595032691956,
1380
+ "learning_rate": 6.591816137678388e-06,
1381
+ "loss": 0.392,
1382
+ "step": 196
1383
+ },
1384
+ {
1385
+ "epoch": 1.379391100702576,
1386
+ "grad_norm": 0.9945947527885437,
1387
+ "learning_rate": 6.552884017599517e-06,
1388
+ "loss": 0.4089,
1389
+ "step": 197
1390
+ },
1391
+ {
1392
+ "epoch": 1.3864168618266979,
1393
+ "grad_norm": 0.8764625191688538,
1394
+ "learning_rate": 6.513847416168929e-06,
1395
+ "loss": 0.3266,
1396
+ "step": 198
1397
+ },
1398
+ {
1399
+ "epoch": 1.3934426229508197,
1400
+ "grad_norm": 0.8237807750701904,
1401
+ "learning_rate": 6.474708959852504e-06,
1402
+ "loss": 0.347,
1403
+ "step": 199
1404
+ },
1405
+ {
1406
+ "epoch": 1.4004683840749415,
1407
+ "grad_norm": 0.8994930982589722,
1408
+ "learning_rate": 6.435471281969133e-06,
1409
+ "loss": 0.3696,
1410
+ "step": 200
1411
+ },
1412
+ {
1413
+ "epoch": 1.4074941451990632,
1414
+ "grad_norm": 0.8499532341957092,
1415
+ "learning_rate": 6.396137022513545e-06,
1416
+ "loss": 0.3881,
1417
+ "step": 201
1418
+ },
1419
+ {
1420
+ "epoch": 1.414519906323185,
1421
+ "grad_norm": 0.883819043636322,
1422
+ "learning_rate": 6.3567088279786885e-06,
1423
+ "loss": 0.3878,
1424
+ "step": 202
1425
+ },
1426
+ {
1427
+ "epoch": 1.4215456674473068,
1428
+ "grad_norm": 1.0152641534805298,
1429
+ "learning_rate": 6.317189351177657e-06,
1430
+ "loss": 0.3853,
1431
+ "step": 203
1432
+ },
1433
+ {
1434
+ "epoch": 1.4285714285714286,
1435
+ "grad_norm": 0.8048605918884277,
1436
+ "learning_rate": 6.277581251065217e-06,
1437
+ "loss": 0.4101,
1438
+ "step": 204
1439
+ },
1440
+ {
1441
+ "epoch": 1.4355971896955504,
1442
+ "grad_norm": 0.9819334149360657,
1443
+ "learning_rate": 6.237887192558894e-06,
1444
+ "loss": 0.3665,
1445
+ "step": 205
1446
+ },
1447
+ {
1448
+ "epoch": 1.4426229508196722,
1449
+ "grad_norm": 0.9762699007987976,
1450
+ "learning_rate": 6.198109846359682e-06,
1451
+ "loss": 0.4379,
1452
+ "step": 206
1453
+ },
1454
+ {
1455
+ "epoch": 1.449648711943794,
1456
+ "grad_norm": 0.9064199924468994,
1457
+ "learning_rate": 6.15825188877235e-06,
1458
+ "loss": 0.4014,
1459
+ "step": 207
1460
+ },
1461
+ {
1462
+ "epoch": 1.4566744730679158,
1463
+ "grad_norm": 0.9358543157577515,
1464
+ "learning_rate": 6.118316001525368e-06,
1465
+ "loss": 0.3528,
1466
+ "step": 208
1467
+ },
1468
+ {
1469
+ "epoch": 1.4637002341920375,
1470
+ "grad_norm": 0.824491024017334,
1471
+ "learning_rate": 6.078304871590485e-06,
1472
+ "loss": 0.375,
1473
+ "step": 209
1474
+ },
1475
+ {
1476
+ "epoch": 1.4707259953161593,
1477
+ "grad_norm": 0.8200578093528748,
1478
+ "learning_rate": 6.038221191001935e-06,
1479
+ "loss": 0.4005,
1480
+ "step": 210
1481
+ },
1482
+ {
1483
+ "epoch": 1.4777517564402811,
1484
+ "grad_norm": 0.9158371686935425,
1485
+ "learning_rate": 5.998067656675318e-06,
1486
+ "loss": 0.3782,
1487
+ "step": 211
1488
+ },
1489
+ {
1490
+ "epoch": 1.4847775175644027,
1491
+ "grad_norm": 0.8998908400535583,
1492
+ "learning_rate": 5.95784697022614e-06,
1493
+ "loss": 0.3677,
1494
+ "step": 212
1495
+ },
1496
+ {
1497
+ "epoch": 1.4918032786885247,
1498
+ "grad_norm": 0.8066834211349487,
1499
+ "learning_rate": 5.917561837788046e-06,
1500
+ "loss": 0.3388,
1501
+ "step": 213
1502
+ },
1503
+ {
1504
+ "epoch": 1.4988290398126463,
1505
+ "grad_norm": 0.9157138466835022,
1506
+ "learning_rate": 5.877214969830746e-06,
1507
+ "loss": 0.382,
1508
+ "step": 214
1509
+ },
1510
+ {
1511
+ "epoch": 1.5058548009367683,
1512
+ "grad_norm": 0.8674065470695496,
1513
+ "learning_rate": 5.836809080977644e-06,
1514
+ "loss": 0.3749,
1515
+ "step": 215
1516
+ },
1517
+ {
1518
+ "epoch": 1.5128805620608898,
1519
+ "grad_norm": 0.9985965490341187,
1520
+ "learning_rate": 5.7963468898232026e-06,
1521
+ "loss": 0.4127,
1522
+ "step": 216
1523
+ },
1524
+ {
1525
+ "epoch": 1.5199063231850118,
1526
+ "grad_norm": 0.875891387462616,
1527
+ "learning_rate": 5.755831118750016e-06,
1528
+ "loss": 0.372,
1529
+ "step": 217
1530
+ },
1531
+ {
1532
+ "epoch": 1.5269320843091334,
1533
+ "grad_norm": 0.8683876991271973,
1534
+ "learning_rate": 5.715264493745652e-06,
1535
+ "loss": 0.3691,
1536
+ "step": 218
1537
+ },
1538
+ {
1539
+ "epoch": 1.5339578454332554,
1540
+ "grad_norm": 0.8517021536827087,
1541
+ "learning_rate": 5.6746497442192425e-06,
1542
+ "loss": 0.3539,
1543
+ "step": 219
1544
+ },
1545
+ {
1546
+ "epoch": 1.540983606557377,
1547
+ "grad_norm": 0.9395655393600464,
1548
+ "learning_rate": 5.633989602817837e-06,
1549
+ "loss": 0.3917,
1550
+ "step": 220
1551
+ },
1552
+ {
1553
+ "epoch": 1.548009367681499,
1554
+ "grad_norm": 1.0133756399154663,
1555
+ "learning_rate": 5.593286805242549e-06,
1556
+ "loss": 0.3833,
1557
+ "step": 221
1558
+ },
1559
+ {
1560
+ "epoch": 1.5550351288056206,
1561
+ "grad_norm": 0.9718075394630432,
1562
+ "learning_rate": 5.552544090064487e-06,
1563
+ "loss": 0.3561,
1564
+ "step": 222
1565
+ },
1566
+ {
1567
+ "epoch": 1.5620608899297423,
1568
+ "grad_norm": 0.7854673862457275,
1569
+ "learning_rate": 5.5117641985405055e-06,
1570
+ "loss": 0.3654,
1571
+ "step": 223
1572
+ },
1573
+ {
1574
+ "epoch": 1.5690866510538641,
1575
+ "grad_norm": 0.8979426026344299,
1576
+ "learning_rate": 5.47094987442876e-06,
1577
+ "loss": 0.385,
1578
+ "step": 224
1579
+ },
1580
+ {
1581
+ "epoch": 1.576112412177986,
1582
+ "grad_norm": 0.9698003530502319,
1583
+ "learning_rate": 5.430103863804107e-06,
1584
+ "loss": 0.3924,
1585
+ "step": 225
1586
+ },
1587
+ {
1588
+ "epoch": 1.5831381733021077,
1589
+ "grad_norm": 0.7612743973731995,
1590
+ "learning_rate": 5.389228914873334e-06,
1591
+ "loss": 0.3567,
1592
+ "step": 226
1593
+ },
1594
+ {
1595
+ "epoch": 1.5901639344262295,
1596
+ "grad_norm": 0.8035783171653748,
1597
+ "learning_rate": 5.348327777790262e-06,
1598
+ "loss": 0.3703,
1599
+ "step": 227
1600
+ },
1601
+ {
1602
+ "epoch": 1.5971896955503513,
1603
+ "grad_norm": 0.9705891609191895,
1604
+ "learning_rate": 5.307403204470711e-06,
1605
+ "loss": 0.3945,
1606
+ "step": 228
1607
+ },
1608
+ {
1609
+ "epoch": 1.604215456674473,
1610
+ "grad_norm": 0.8569871187210083,
1611
+ "learning_rate": 5.266457948407336e-06,
1612
+ "loss": 0.3756,
1613
+ "step": 229
1614
+ },
1615
+ {
1616
+ "epoch": 1.6112412177985949,
1617
+ "grad_norm": 0.8003432154655457,
1618
+ "learning_rate": 5.2254947644843735e-06,
1619
+ "loss": 0.3585,
1620
+ "step": 230
1621
+ },
1622
+ {
1623
+ "epoch": 1.6182669789227166,
1624
+ "grad_norm": 0.8991566896438599,
1625
+ "learning_rate": 5.18451640879228e-06,
1626
+ "loss": 0.3177,
1627
+ "step": 231
1628
+ },
1629
+ {
1630
+ "epoch": 1.6252927400468384,
1631
+ "grad_norm": 0.7545600533485413,
1632
+ "learning_rate": 5.14352563844231e-06,
1633
+ "loss": 0.338,
1634
+ "step": 232
1635
+ },
1636
+ {
1637
+ "epoch": 1.6323185011709602,
1638
+ "grad_norm": 0.8401371836662292,
1639
+ "learning_rate": 5.1025252113809945e-06,
1640
+ "loss": 0.3503,
1641
+ "step": 233
1642
+ },
1643
+ {
1644
+ "epoch": 1.639344262295082,
1645
+ "grad_norm": 0.8601613640785217,
1646
+ "learning_rate": 5.061517886204592e-06,
1647
+ "loss": 0.3736,
1648
+ "step": 234
1649
+ },
1650
+ {
1651
+ "epoch": 1.6463700234192038,
1652
+ "grad_norm": 0.9229597449302673,
1653
+ "learning_rate": 5.02050642197348e-06,
1654
+ "loss": 0.3645,
1655
+ "step": 235
1656
+ },
1657
+ {
1658
+ "epoch": 1.6533957845433256,
1659
+ "grad_norm": 0.848315417766571,
1660
+ "learning_rate": 4.979493578026523e-06,
1661
+ "loss": 0.3935,
1662
+ "step": 236
1663
+ },
1664
+ {
1665
+ "epoch": 1.6604215456674472,
1666
+ "grad_norm": 0.8743554353713989,
1667
+ "learning_rate": 4.9384821137954106e-06,
1668
+ "loss": 0.3648,
1669
+ "step": 237
1670
+ },
1671
+ {
1672
+ "epoch": 1.6674473067915692,
1673
+ "grad_norm": 0.8939303755760193,
1674
+ "learning_rate": 4.897474788619007e-06,
1675
+ "loss": 0.335,
1676
+ "step": 238
1677
+ },
1678
+ {
1679
+ "epoch": 1.6744730679156907,
1680
+ "grad_norm": 0.7993890643119812,
1681
+ "learning_rate": 4.856474361557692e-06,
1682
+ "loss": 0.4,
1683
+ "step": 239
1684
+ },
1685
+ {
1686
+ "epoch": 1.6814988290398127,
1687
+ "grad_norm": 0.9421713948249817,
1688
+ "learning_rate": 4.815483591207721e-06,
1689
+ "loss": 0.422,
1690
+ "step": 240
1691
+ },
1692
+ {
1693
+ "epoch": 1.6885245901639343,
1694
+ "grad_norm": 0.8530561923980713,
1695
+ "learning_rate": 4.774505235515628e-06,
1696
+ "loss": 0.3576,
1697
+ "step": 241
1698
+ },
1699
+ {
1700
+ "epoch": 1.6955503512880563,
1701
+ "grad_norm": 0.9312227368354797,
1702
+ "learning_rate": 4.733542051592665e-06,
1703
+ "loss": 0.3848,
1704
+ "step": 242
1705
+ },
1706
+ {
1707
+ "epoch": 1.7025761124121779,
1708
+ "grad_norm": 1.0025192499160767,
1709
+ "learning_rate": 4.69259679552929e-06,
1710
+ "loss": 0.4112,
1711
+ "step": 243
1712
+ },
1713
+ {
1714
+ "epoch": 1.7096018735362999,
1715
+ "grad_norm": 0.9068251252174377,
1716
+ "learning_rate": 4.651672222209738e-06,
1717
+ "loss": 0.3632,
1718
+ "step": 244
1719
+ },
1720
+ {
1721
+ "epoch": 1.7166276346604215,
1722
+ "grad_norm": 0.843632698059082,
1723
+ "learning_rate": 4.6107710851266695e-06,
1724
+ "loss": 0.3583,
1725
+ "step": 245
1726
+ },
1727
+ {
1728
+ "epoch": 1.7236533957845435,
1729
+ "grad_norm": 0.8394821882247925,
1730
+ "learning_rate": 4.5698961361958955e-06,
1731
+ "loss": 0.3598,
1732
+ "step": 246
1733
+ },
1734
+ {
1735
+ "epoch": 1.730679156908665,
1736
+ "grad_norm": 1.0585048198699951,
1737
+ "learning_rate": 4.529050125571241e-06,
1738
+ "loss": 0.3331,
1739
+ "step": 247
1740
+ },
1741
+ {
1742
+ "epoch": 1.737704918032787,
1743
+ "grad_norm": 0.8787031769752502,
1744
+ "learning_rate": 4.488235801459495e-06,
1745
+ "loss": 0.3934,
1746
+ "step": 248
1747
+ },
1748
+ {
1749
+ "epoch": 1.7447306791569086,
1750
+ "grad_norm": 0.9514378309249878,
1751
+ "learning_rate": 4.447455909935513e-06,
1752
+ "loss": 0.3574,
1753
+ "step": 249
1754
+ },
1755
+ {
1756
+ "epoch": 1.7517564402810304,
1757
+ "grad_norm": 0.8068012595176697,
1758
+ "learning_rate": 4.4067131947574515e-06,
1759
+ "loss": 0.3703,
1760
+ "step": 250
1761
+ },
1762
+ {
1763
+ "epoch": 1.7587822014051522,
1764
+ "grad_norm": 0.9842183589935303,
1765
+ "learning_rate": 4.3660103971821635e-06,
1766
+ "loss": 0.3628,
1767
+ "step": 251
1768
+ },
1769
+ {
1770
+ "epoch": 1.765807962529274,
1771
+ "grad_norm": 0.9102012515068054,
1772
+ "learning_rate": 4.3253502557807575e-06,
1773
+ "loss": 0.395,
1774
+ "step": 252
1775
+ },
1776
+ {
1777
+ "epoch": 1.7728337236533958,
1778
+ "grad_norm": 0.8737331628799438,
1779
+ "learning_rate": 4.28473550625435e-06,
1780
+ "loss": 0.3949,
1781
+ "step": 253
1782
+ },
1783
+ {
1784
+ "epoch": 1.7798594847775175,
1785
+ "grad_norm": 0.8551650643348694,
1786
+ "learning_rate": 4.244168881249986e-06,
1787
+ "loss": 0.3237,
1788
+ "step": 254
1789
+ },
1790
+ {
1791
+ "epoch": 1.7868852459016393,
1792
+ "grad_norm": 0.8604973554611206,
1793
+ "learning_rate": 4.203653110176798e-06,
1794
+ "loss": 0.36,
1795
+ "step": 255
1796
+ },
1797
+ {
1798
+ "epoch": 1.7939110070257611,
1799
+ "grad_norm": 0.8735095858573914,
1800
+ "learning_rate": 4.163190919022357e-06,
1801
+ "loss": 0.3947,
1802
+ "step": 256
1803
+ },
1804
+ {
1805
+ "epoch": 1.800936768149883,
1806
+ "grad_norm": 0.8284133672714233,
1807
+ "learning_rate": 4.122785030169256e-06,
1808
+ "loss": 0.3544,
1809
+ "step": 257
1810
+ },
1811
+ {
1812
+ "epoch": 1.8079625292740047,
1813
+ "grad_norm": 0.948117196559906,
1814
+ "learning_rate": 4.082438162211955e-06,
1815
+ "loss": 0.355,
1816
+ "step": 258
1817
+ },
1818
+ {
1819
+ "epoch": 1.8149882903981265,
1820
+ "grad_norm": 0.8387302756309509,
1821
+ "learning_rate": 4.042153029773861e-06,
1822
+ "loss": 0.378,
1823
+ "step": 259
1824
+ },
1825
+ {
1826
+ "epoch": 1.8220140515222483,
1827
+ "grad_norm": 1.0318608283996582,
1828
+ "learning_rate": 4.001932343324683e-06,
1829
+ "loss": 0.4138,
1830
+ "step": 260
1831
+ },
1832
+ {
1833
+ "epoch": 1.82903981264637,
1834
+ "grad_norm": 0.9296135306358337,
1835
+ "learning_rate": 3.961778808998066e-06,
1836
+ "loss": 0.4052,
1837
+ "step": 261
1838
+ },
1839
+ {
1840
+ "epoch": 1.8360655737704918,
1841
+ "grad_norm": 0.8200930953025818,
1842
+ "learning_rate": 3.921695128409517e-06,
1843
+ "loss": 0.3252,
1844
+ "step": 262
1845
+ },
1846
+ {
1847
+ "epoch": 1.8430913348946136,
1848
+ "grad_norm": 0.8758650422096252,
1849
+ "learning_rate": 3.8816839984746334e-06,
1850
+ "loss": 0.364,
1851
+ "step": 263
1852
+ },
1853
+ {
1854
+ "epoch": 1.8501170960187352,
1855
+ "grad_norm": 0.8040407299995422,
1856
+ "learning_rate": 3.841748111227652e-06,
1857
+ "loss": 0.4083,
1858
+ "step": 264
1859
+ },
1860
+ {
1861
+ "epoch": 1.8571428571428572,
1862
+ "grad_norm": 0.9389622807502747,
1863
+ "learning_rate": 3.8018901536403198e-06,
1864
+ "loss": 0.4112,
1865
+ "step": 265
1866
+ },
1867
+ {
1868
+ "epoch": 1.8641686182669788,
1869
+ "grad_norm": 0.9404301047325134,
1870
+ "learning_rate": 3.762112807441108e-06,
1871
+ "loss": 0.3785,
1872
+ "step": 266
1873
+ },
1874
+ {
1875
+ "epoch": 1.8711943793911008,
1876
+ "grad_norm": 0.984291672706604,
1877
+ "learning_rate": 3.7224187489347847e-06,
1878
+ "loss": 0.4063,
1879
+ "step": 267
1880
+ },
1881
+ {
1882
+ "epoch": 1.8782201405152223,
1883
+ "grad_norm": 0.8425026535987854,
1884
+ "learning_rate": 3.682810648822343e-06,
1885
+ "loss": 0.3901,
1886
+ "step": 268
1887
+ },
1888
+ {
1889
+ "epoch": 1.8852459016393444,
1890
+ "grad_norm": 0.9068894982337952,
1891
+ "learning_rate": 3.6432911720213127e-06,
1892
+ "loss": 0.3549,
1893
+ "step": 269
1894
+ },
1895
+ {
1896
+ "epoch": 1.892271662763466,
1897
+ "grad_norm": 0.9722284078598022,
1898
+ "learning_rate": 3.6038629774864563e-06,
1899
+ "loss": 0.4069,
1900
+ "step": 270
1901
+ },
1902
+ {
1903
+ "epoch": 1.899297423887588,
1904
+ "grad_norm": 0.9396534562110901,
1905
+ "learning_rate": 3.56452871803087e-06,
1906
+ "loss": 0.3223,
1907
+ "step": 271
1908
+ },
1909
+ {
1910
+ "epoch": 1.9063231850117095,
1911
+ "grad_norm": 0.949874758720398,
1912
+ "learning_rate": 3.525291040147498e-06,
1913
+ "loss": 0.3538,
1914
+ "step": 272
1915
+ },
1916
+ {
1917
+ "epoch": 1.9133489461358315,
1918
+ "grad_norm": 0.9677289128303528,
1919
+ "learning_rate": 3.486152583831072e-06,
1920
+ "loss": 0.3828,
1921
+ "step": 273
1922
+ },
1923
+ {
1924
+ "epoch": 1.920374707259953,
1925
+ "grad_norm": 0.8510810136795044,
1926
+ "learning_rate": 3.447115982400485e-06,
1927
+ "loss": 0.4034,
1928
+ "step": 274
1929
+ },
1930
+ {
1931
+ "epoch": 1.927400468384075,
1932
+ "grad_norm": 0.8667073845863342,
1933
+ "learning_rate": 3.4081838623216124e-06,
1934
+ "loss": 0.32,
1935
+ "step": 275
1936
+ },
1937
+ {
1938
+ "epoch": 1.9344262295081966,
1939
+ "grad_norm": 0.8696290850639343,
1940
+ "learning_rate": 3.3693588430306035e-06,
1941
+ "loss": 0.365,
1942
+ "step": 276
1943
+ },
1944
+ {
1945
+ "epoch": 1.9414519906323187,
1946
+ "grad_norm": 0.8641108870506287,
1947
+ "learning_rate": 3.330643536757638e-06,
1948
+ "loss": 0.3681,
1949
+ "step": 277
1950
+ },
1951
+ {
1952
+ "epoch": 1.9484777517564402,
1953
+ "grad_norm": 0.9129387736320496,
1954
+ "learning_rate": 3.2920405483511702e-06,
1955
+ "loss": 0.3651,
1956
+ "step": 278
1957
+ },
1958
+ {
1959
+ "epoch": 1.955503512880562,
1960
+ "grad_norm": 0.8642932772636414,
1961
+ "learning_rate": 3.253552475102668e-06,
1962
+ "loss": 0.3972,
1963
+ "step": 279
1964
+ },
1965
+ {
1966
+ "epoch": 1.9625292740046838,
1967
+ "grad_norm": 0.8414629697799683,
1968
+ "learning_rate": 3.215181906571858e-06,
1969
+ "loss": 0.3707,
1970
+ "step": 280
1971
+ },
1972
+ {
1973
+ "epoch": 1.9695550351288056,
1974
+ "grad_norm": 0.9968050718307495,
1975
+ "learning_rate": 3.1769314244125056e-06,
1976
+ "loss": 0.4179,
1977
+ "step": 281
1978
+ },
1979
+ {
1980
+ "epoch": 1.9765807962529274,
1981
+ "grad_norm": 0.8431434035301208,
1982
+ "learning_rate": 3.1388036021987047e-06,
1983
+ "loss": 0.3617,
1984
+ "step": 282
1985
+ },
1986
+ {
1987
+ "epoch": 1.9836065573770492,
1988
+ "grad_norm": 0.957405686378479,
1989
+ "learning_rate": 3.100801005251727e-06,
1990
+ "loss": 0.374,
1991
+ "step": 283
1992
+ },
1993
+ {
1994
+ "epoch": 1.990632318501171,
1995
+ "grad_norm": 0.8993059992790222,
1996
+ "learning_rate": 3.0629261904674206e-06,
1997
+ "loss": 0.337,
1998
+ "step": 284
1999
+ },
2000
+ {
2001
+ "epoch": 1.9976580796252927,
2002
+ "grad_norm": 0.915682315826416,
2003
+ "learning_rate": 3.025181706144178e-06,
2004
+ "loss": 0.4074,
2005
+ "step": 285
2006
+ },
2007
+ {
2008
+ "epoch": 2.0,
2009
+ "grad_norm": 0.915682315826416,
2010
+ "learning_rate": 2.987570091811479e-06,
2011
+ "loss": 0.3528,
2012
+ "step": 286
2013
+ },
2014
+ {
2015
+ "epoch": 2.0070257611241216,
2016
+ "grad_norm": 1.7454204559326172,
2017
+ "learning_rate": 2.9500938780590276e-06,
2018
+ "loss": 0.294,
2019
+ "step": 287
2020
+ },
2021
+ {
2022
+ "epoch": 2.0140515222482436,
2023
+ "grad_norm": 0.90482097864151,
2024
+ "learning_rate": 2.9127555863664857e-06,
2025
+ "loss": 0.2891,
2026
+ "step": 288
2027
+ },
2028
+ {
2029
+ "epoch": 2.021077283372365,
2030
+ "grad_norm": 0.8985456228256226,
2031
+ "learning_rate": 2.8755577289338267e-06,
2032
+ "loss": 0.255,
2033
+ "step": 289
2034
+ },
2035
+ {
2036
+ "epoch": 2.028103044496487,
2037
+ "grad_norm": 1.0324161052703857,
2038
+ "learning_rate": 2.838502808512309e-06,
2039
+ "loss": 0.275,
2040
+ "step": 290
2041
+ },
2042
+ {
2043
+ "epoch": 2.0351288056206087,
2044
+ "grad_norm": 0.8929424285888672,
2045
+ "learning_rate": 2.801593318236078e-06,
2046
+ "loss": 0.2969,
2047
+ "step": 291
2048
+ },
2049
+ {
2050
+ "epoch": 2.0421545667447307,
2051
+ "grad_norm": 0.9224628806114197,
2052
+ "learning_rate": 2.764831741454432e-06,
2053
+ "loss": 0.2285,
2054
+ "step": 292
2055
+ },
2056
+ {
2057
+ "epoch": 2.0491803278688523,
2058
+ "grad_norm": 0.8780328631401062,
2059
+ "learning_rate": 2.7282205515647348e-06,
2060
+ "loss": 0.2345,
2061
+ "step": 293
2062
+ },
2063
+ {
2064
+ "epoch": 2.0562060889929743,
2065
+ "grad_norm": 0.838097095489502,
2066
+ "learning_rate": 2.6917622118459975e-06,
2067
+ "loss": 0.2246,
2068
+ "step": 294
2069
+ },
2070
+ {
2071
+ "epoch": 2.063231850117096,
2072
+ "grad_norm": 0.7811418175697327,
2073
+ "learning_rate": 2.655459175293146e-06,
2074
+ "loss": 0.2824,
2075
+ "step": 295
2076
+ },
2077
+ {
2078
+ "epoch": 2.070257611241218,
2079
+ "grad_norm": 0.9212809205055237,
2080
+ "learning_rate": 2.6193138844519785e-06,
2081
+ "loss": 0.25,
2082
+ "step": 296
2083
+ },
2084
+ {
2085
+ "epoch": 2.0772833723653394,
2086
+ "grad_norm": 0.8795907497406006,
2087
+ "learning_rate": 2.58332877125482e-06,
2088
+ "loss": 0.2862,
2089
+ "step": 297
2090
+ },
2091
+ {
2092
+ "epoch": 2.0843091334894615,
2093
+ "grad_norm": 1.2901580333709717,
2094
+ "learning_rate": 2.5475062568569077e-06,
2095
+ "loss": 0.2577,
2096
+ "step": 298
2097
+ },
2098
+ {
2099
+ "epoch": 2.091334894613583,
2100
+ "grad_norm": 0.9055448174476624,
2101
+ "learning_rate": 2.511848751473485e-06,
2102
+ "loss": 0.2337,
2103
+ "step": 299
2104
+ },
2105
+ {
2106
+ "epoch": 2.098360655737705,
2107
+ "grad_norm": 1.0659441947937012,
2108
+ "learning_rate": 2.476358654217627e-06,
2109
+ "loss": 0.2564,
2110
+ "step": 300
2111
+ },
2112
+ {
2113
+ "epoch": 2.1053864168618266,
2114
+ "grad_norm": 1.0252413749694824,
2115
+ "learning_rate": 2.4410383529388448e-06,
2116
+ "loss": 0.2536,
2117
+ "step": 301
2118
+ },
2119
+ {
2120
+ "epoch": 2.1124121779859486,
2121
+ "grad_norm": 0.8777045011520386,
2122
+ "learning_rate": 2.405890224062406e-06,
2123
+ "loss": 0.2225,
2124
+ "step": 302
2125
+ },
2126
+ {
2127
+ "epoch": 2.11943793911007,
2128
+ "grad_norm": 0.8778117299079895,
2129
+ "learning_rate": 2.370916632429455e-06,
2130
+ "loss": 0.2544,
2131
+ "step": 303
2132
+ },
2133
+ {
2134
+ "epoch": 2.126463700234192,
2135
+ "grad_norm": 1.0625895261764526,
2136
+ "learning_rate": 2.336119931137897e-06,
2137
+ "loss": 0.258,
2138
+ "step": 304
2139
+ },
2140
+ {
2141
+ "epoch": 2.1334894613583137,
2142
+ "grad_norm": 0.9435818195343018,
2143
+ "learning_rate": 2.3015024613840742e-06,
2144
+ "loss": 0.2564,
2145
+ "step": 305
2146
+ },
2147
+ {
2148
+ "epoch": 2.1405152224824358,
2149
+ "grad_norm": 0.8762299418449402,
2150
+ "learning_rate": 2.2670665523052534e-06,
2151
+ "loss": 0.2109,
2152
+ "step": 306
2153
+ },
2154
+ {
2155
+ "epoch": 2.1475409836065573,
2156
+ "grad_norm": 0.8183939456939697,
2157
+ "learning_rate": 2.2328145208229096e-06,
2158
+ "loss": 0.2277,
2159
+ "step": 307
2160
+ },
2161
+ {
2162
+ "epoch": 2.1545667447306793,
2163
+ "grad_norm": 0.9453922510147095,
2164
+ "learning_rate": 2.1987486714868384e-06,
2165
+ "loss": 0.2555,
2166
+ "step": 308
2167
+ },
2168
+ {
2169
+ "epoch": 2.161592505854801,
2170
+ "grad_norm": 0.905980110168457,
2171
+ "learning_rate": 2.164871296320106e-06,
2172
+ "loss": 0.2236,
2173
+ "step": 309
2174
+ },
2175
+ {
2176
+ "epoch": 2.168618266978923,
2177
+ "grad_norm": 0.7942854166030884,
2178
+ "learning_rate": 2.1311846746648325e-06,
2179
+ "loss": 0.2435,
2180
+ "step": 310
2181
+ },
2182
+ {
2183
+ "epoch": 2.1756440281030445,
2184
+ "grad_norm": 0.8481754064559937,
2185
+ "learning_rate": 2.097691073028836e-06,
2186
+ "loss": 0.2503,
2187
+ "step": 311
2188
+ },
2189
+ {
2190
+ "epoch": 2.1826697892271665,
2191
+ "grad_norm": 0.8431323170661926,
2192
+ "learning_rate": 2.064392744933135e-06,
2193
+ "loss": 0.2242,
2194
+ "step": 312
2195
+ },
2196
+ {
2197
+ "epoch": 2.189695550351288,
2198
+ "grad_norm": 0.7957973480224609,
2199
+ "learning_rate": 2.0312919307603286e-06,
2200
+ "loss": 0.2317,
2201
+ "step": 313
2202
+ },
2203
+ {
2204
+ "epoch": 2.19672131147541,
2205
+ "grad_norm": 0.8730148673057556,
2206
+ "learning_rate": 1.998390857603853e-06,
2207
+ "loss": 0.2259,
2208
+ "step": 314
2209
+ },
2210
+ {
2211
+ "epoch": 2.2037470725995316,
2212
+ "grad_norm": 0.9832536578178406,
2213
+ "learning_rate": 1.965691739118146e-06,
2214
+ "loss": 0.2129,
2215
+ "step": 315
2216
+ },
2217
+ {
2218
+ "epoch": 2.210772833723653,
2219
+ "grad_norm": 0.8978882431983948,
2220
+ "learning_rate": 1.9331967753697077e-06,
2221
+ "loss": 0.2167,
2222
+ "step": 316
2223
+ },
2224
+ {
2225
+ "epoch": 2.217798594847775,
2226
+ "grad_norm": 1.0279768705368042,
2227
+ "learning_rate": 1.9009081526890622e-06,
2228
+ "loss": 0.2162,
2229
+ "step": 317
2230
+ },
2231
+ {
2232
+ "epoch": 2.2248243559718968,
2233
+ "grad_norm": 0.9898053407669067,
2234
+ "learning_rate": 1.8688280435236732e-06,
2235
+ "loss": 0.2652,
2236
+ "step": 318
2237
+ },
2238
+ {
2239
+ "epoch": 2.2318501170960188,
2240
+ "grad_norm": 0.9467569589614868,
2241
+ "learning_rate": 1.8369586062917693e-06,
2242
+ "loss": 0.2541,
2243
+ "step": 319
2244
+ },
2245
+ {
2246
+ "epoch": 2.2388758782201403,
2247
+ "grad_norm": 0.9604997038841248,
2248
+ "learning_rate": 1.8053019852371195e-06,
2249
+ "loss": 0.2388,
2250
+ "step": 320
2251
+ },
2252
+ {
2253
+ "epoch": 2.2459016393442623,
2254
+ "grad_norm": 0.8671456575393677,
2255
+ "learning_rate": 1.7738603102847696e-06,
2256
+ "loss": 0.2688,
2257
+ "step": 321
2258
+ },
2259
+ {
2260
+ "epoch": 2.252927400468384,
2261
+ "grad_norm": 1.0521889925003052,
2262
+ "learning_rate": 1.7426356968977265e-06,
2263
+ "loss": 0.2702,
2264
+ "step": 322
2265
+ },
2266
+ {
2267
+ "epoch": 2.259953161592506,
2268
+ "grad_norm": 0.9155137538909912,
2269
+ "learning_rate": 1.711630245934638e-06,
2270
+ "loss": 0.2632,
2271
+ "step": 323
2272
+ },
2273
+ {
2274
+ "epoch": 2.2669789227166275,
2275
+ "grad_norm": 0.9298955798149109,
2276
+ "learning_rate": 1.6808460435084316e-06,
2277
+ "loss": 0.2485,
2278
+ "step": 324
2279
+ },
2280
+ {
2281
+ "epoch": 2.2740046838407495,
2282
+ "grad_norm": 0.8703210353851318,
2283
+ "learning_rate": 1.6502851608459668e-06,
2284
+ "loss": 0.2268,
2285
+ "step": 325
2286
+ },
2287
+ {
2288
+ "epoch": 2.281030444964871,
2289
+ "grad_norm": 0.8722267746925354,
2290
+ "learning_rate": 1.6199496541486647e-06,
2291
+ "loss": 0.258,
2292
+ "step": 326
2293
+ },
2294
+ {
2295
+ "epoch": 2.288056206088993,
2296
+ "grad_norm": 0.8431782126426697,
2297
+ "learning_rate": 1.589841564454176e-06,
2298
+ "loss": 0.2587,
2299
+ "step": 327
2300
+ },
2301
+ {
2302
+ "epoch": 2.2950819672131146,
2303
+ "grad_norm": 0.9284111857414246,
2304
+ "learning_rate": 1.5599629174990482e-06,
2305
+ "loss": 0.2383,
2306
+ "step": 328
2307
+ },
2308
+ {
2309
+ "epoch": 2.3021077283372366,
2310
+ "grad_norm": 0.8235135078430176,
2311
+ "learning_rate": 1.5303157235824323e-06,
2312
+ "loss": 0.2379,
2313
+ "step": 329
2314
+ },
2315
+ {
2316
+ "epoch": 2.309133489461358,
2317
+ "grad_norm": 0.8774765729904175,
2318
+ "learning_rate": 1.5009019774308249e-06,
2319
+ "loss": 0.2727,
2320
+ "step": 330
2321
+ },
2322
+ {
2323
+ "epoch": 2.3161592505854802,
2324
+ "grad_norm": 0.9658228158950806,
2325
+ "learning_rate": 1.471723658063856e-06,
2326
+ "loss": 0.2604,
2327
+ "step": 331
2328
+ },
2329
+ {
2330
+ "epoch": 2.323185011709602,
2331
+ "grad_norm": 0.9167743921279907,
2332
+ "learning_rate": 1.4427827286611412e-06,
2333
+ "loss": 0.2106,
2334
+ "step": 332
2335
+ },
2336
+ {
2337
+ "epoch": 2.330210772833724,
2338
+ "grad_norm": 0.9037270545959473,
2339
+ "learning_rate": 1.4140811364301931e-06,
2340
+ "loss": 0.2499,
2341
+ "step": 333
2342
+ },
2343
+ {
2344
+ "epoch": 2.3372365339578454,
2345
+ "grad_norm": 0.9935373067855835,
2346
+ "learning_rate": 1.385620812475409e-06,
2347
+ "loss": 0.2772,
2348
+ "step": 334
2349
+ },
2350
+ {
2351
+ "epoch": 2.3442622950819674,
2352
+ "grad_norm": 0.7985637187957764,
2353
+ "learning_rate": 1.3574036716681366e-06,
2354
+ "loss": 0.2575,
2355
+ "step": 335
2356
+ },
2357
+ {
2358
+ "epoch": 2.351288056206089,
2359
+ "grad_norm": 0.8993780612945557,
2360
+ "learning_rate": 1.3294316125178474e-06,
2361
+ "loss": 0.2432,
2362
+ "step": 336
2363
+ },
2364
+ {
2365
+ "epoch": 2.358313817330211,
2366
+ "grad_norm": 0.9015387892723083,
2367
+ "learning_rate": 1.301706517044395e-06,
2368
+ "loss": 0.2541,
2369
+ "step": 337
2370
+ },
2371
+ {
2372
+ "epoch": 2.3653395784543325,
2373
+ "grad_norm": 0.9596133828163147,
2374
+ "learning_rate": 1.2742302506513894e-06,
2375
+ "loss": 0.2702,
2376
+ "step": 338
2377
+ },
2378
+ {
2379
+ "epoch": 2.3723653395784545,
2380
+ "grad_norm": 0.9486516714096069,
2381
+ "learning_rate": 1.247004662000686e-06,
2382
+ "loss": 0.2547,
2383
+ "step": 339
2384
+ },
2385
+ {
2386
+ "epoch": 2.379391100702576,
2387
+ "grad_norm": 1.1242049932479858,
2388
+ "learning_rate": 1.2200315828880094e-06,
2389
+ "loss": 0.2384,
2390
+ "step": 340
2391
+ },
2392
+ {
2393
+ "epoch": 2.3864168618266977,
2394
+ "grad_norm": 0.9570393562316895,
2395
+ "learning_rate": 1.1933128281197042e-06,
2396
+ "loss": 0.2759,
2397
+ "step": 341
2398
+ },
2399
+ {
2400
+ "epoch": 2.3934426229508197,
2401
+ "grad_norm": 0.9540587663650513,
2402
+ "learning_rate": 1.166850195390628e-06,
2403
+ "loss": 0.2709,
2404
+ "step": 342
2405
+ },
2406
+ {
2407
+ "epoch": 2.4004683840749417,
2408
+ "grad_norm": 1.0115498304367065,
2409
+ "learning_rate": 1.1406454651632042e-06,
2410
+ "loss": 0.2795,
2411
+ "step": 343
2412
+ },
2413
+ {
2414
+ "epoch": 2.4074941451990632,
2415
+ "grad_norm": 1.0347506999969482,
2416
+ "learning_rate": 1.1147004005476192e-06,
2417
+ "loss": 0.208,
2418
+ "step": 344
2419
+ },
2420
+ {
2421
+ "epoch": 2.414519906323185,
2422
+ "grad_norm": 0.988497793674469,
2423
+ "learning_rate": 1.089016747183208e-06,
2424
+ "loss": 0.2472,
2425
+ "step": 345
2426
+ },
2427
+ {
2428
+ "epoch": 2.421545667447307,
2429
+ "grad_norm": 0.8970013856887817,
2430
+ "learning_rate": 1.063596233120997e-06,
2431
+ "loss": 0.2649,
2432
+ "step": 346
2433
+ },
2434
+ {
2435
+ "epoch": 2.4285714285714284,
2436
+ "grad_norm": 0.9206312298774719,
2437
+ "learning_rate": 1.03844056870744e-06,
2438
+ "loss": 0.2352,
2439
+ "step": 347
2440
+ },
2441
+ {
2442
+ "epoch": 2.4355971896955504,
2443
+ "grad_norm": 0.9012823700904846,
2444
+ "learning_rate": 1.013551446469337e-06,
2445
+ "loss": 0.2207,
2446
+ "step": 348
2447
+ },
2448
+ {
2449
+ "epoch": 2.442622950819672,
2450
+ "grad_norm": 1.0099748373031616,
2451
+ "learning_rate": 9.889305409999656e-07,
2452
+ "loss": 0.298,
2453
+ "step": 349
2454
+ },
2455
+ {
2456
+ "epoch": 2.449648711943794,
2457
+ "grad_norm": 1.0725970268249512,
2458
+ "learning_rate": 9.64579508846405e-07,
2459
+ "loss": 0.2466,
2460
+ "step": 350
2461
+ },
2462
+ {
2463
+ "epoch": 2.4566744730679155,
2464
+ "grad_norm": 0.9620457887649536,
2465
+ "learning_rate": 9.40499988398082e-07,
2466
+ "loss": 0.2746,
2467
+ "step": 351
2468
+ },
2469
+ {
2470
+ "epoch": 2.4637002341920375,
2471
+ "grad_norm": 1.0769095420837402,
2472
+ "learning_rate": 9.166935997765364e-07,
2473
+ "loss": 0.2506,
2474
+ "step": 352
2475
+ },
2476
+ {
2477
+ "epoch": 2.470725995316159,
2478
+ "grad_norm": 0.9816381931304932,
2479
+ "learning_rate": 8.93161944726414e-07,
2480
+ "loss": 0.2605,
2481
+ "step": 353
2482
+ },
2483
+ {
2484
+ "epoch": 2.477751756440281,
2485
+ "grad_norm": 0.8115105032920837,
2486
+ "learning_rate": 8.699066065077005e-07,
2487
+ "loss": 0.2515,
2488
+ "step": 354
2489
+ },
2490
+ {
2491
+ "epoch": 2.4847775175644027,
2492
+ "grad_norm": 0.9756121039390564,
2493
+ "learning_rate": 8.469291497891979e-07,
2494
+ "loss": 0.2223,
2495
+ "step": 355
2496
+ },
2497
+ {
2498
+ "epoch": 2.4918032786885247,
2499
+ "grad_norm": 0.8359687328338623,
2500
+ "learning_rate": 8.242311205432418e-07,
2501
+ "loss": 0.2633,
2502
+ "step": 356
2503
+ },
2504
+ {
2505
+ "epoch": 2.4988290398126463,
2506
+ "grad_norm": 1.0315937995910645,
2507
+ "learning_rate": 8.018140459416962e-07,
2508
+ "loss": 0.2505,
2509
+ "step": 357
2510
+ },
2511
+ {
2512
+ "epoch": 2.5058548009367683,
2513
+ "grad_norm": 0.9899025559425354,
2514
+ "learning_rate": 7.796794342531949e-07,
2515
+ "loss": 0.2504,
2516
+ "step": 358
2517
+ },
2518
+ {
2519
+ "epoch": 2.51288056206089,
2520
+ "grad_norm": 0.8839271068572998,
2521
+ "learning_rate": 7.57828774741664e-07,
2522
+ "loss": 0.265,
2523
+ "step": 359
2524
+ },
2525
+ {
2526
+ "epoch": 2.519906323185012,
2527
+ "grad_norm": 1.0711992979049683,
2528
+ "learning_rate": 7.362635375661225e-07,
2529
+ "loss": 0.285,
2530
+ "step": 360
2531
+ },
2532
+ {
2533
+ "epoch": 2.5269320843091334,
2534
+ "grad_norm": 1.0341910123825073,
2535
+ "learning_rate": 7.149851736817609e-07,
2536
+ "loss": 0.2219,
2537
+ "step": 361
2538
+ },
2539
+ {
2540
+ "epoch": 2.5339578454332554,
2541
+ "grad_norm": 0.987358033657074,
2542
+ "learning_rate": 6.939951147423269e-07,
2543
+ "loss": 0.2338,
2544
+ "step": 362
2545
+ },
2546
+ {
2547
+ "epoch": 2.540983606557377,
2548
+ "grad_norm": 0.9864411950111389,
2549
+ "learning_rate": 6.732947730037936e-07,
2550
+ "loss": 0.2466,
2551
+ "step": 363
2552
+ },
2553
+ {
2554
+ "epoch": 2.548009367681499,
2555
+ "grad_norm": 1.023818016052246,
2556
+ "learning_rate": 6.52885541229345e-07,
2557
+ "loss": 0.2357,
2558
+ "step": 364
2559
+ },
2560
+ {
2561
+ "epoch": 2.5550351288056206,
2562
+ "grad_norm": 0.8425894975662231,
2563
+ "learning_rate": 6.327687925956616e-07,
2564
+ "loss": 0.2216,
2565
+ "step": 365
2566
+ },
2567
+ {
2568
+ "epoch": 2.562060889929742,
2569
+ "grad_norm": 0.9226377606391907,
2570
+ "learning_rate": 6.12945880600535e-07,
2571
+ "loss": 0.2818,
2572
+ "step": 366
2573
+ },
2574
+ {
2575
+ "epoch": 2.569086651053864,
2576
+ "grad_norm": 0.922722339630127,
2577
+ "learning_rate": 5.93418138971803e-07,
2578
+ "loss": 0.2605,
2579
+ "step": 367
2580
+ },
2581
+ {
2582
+ "epoch": 2.576112412177986,
2583
+ "grad_norm": 1.0783159732818604,
2584
+ "learning_rate": 5.741868815776081e-07,
2585
+ "loss": 0.257,
2586
+ "step": 368
2587
+ },
2588
+ {
2589
+ "epoch": 2.5831381733021077,
2590
+ "grad_norm": 0.9857349991798401,
2591
+ "learning_rate": 5.552534023380024e-07,
2592
+ "loss": 0.2133,
2593
+ "step": 369
2594
+ },
2595
+ {
2596
+ "epoch": 2.5901639344262293,
2597
+ "grad_norm": 0.8876913785934448,
2598
+ "learning_rate": 5.366189751378858e-07,
2599
+ "loss": 0.2728,
2600
+ "step": 370
2601
+ },
2602
+ {
2603
+ "epoch": 2.5971896955503513,
2604
+ "grad_norm": 1.0224825143814087,
2605
+ "learning_rate": 5.18284853741301e-07,
2606
+ "loss": 0.2375,
2607
+ "step": 371
2608
+ },
2609
+ {
2610
+ "epoch": 2.6042154566744733,
2611
+ "grad_norm": 0.9141249656677246,
2612
+ "learning_rate": 5.002522717070751e-07,
2613
+ "loss": 0.2436,
2614
+ "step": 372
2615
+ },
2616
+ {
2617
+ "epoch": 2.611241217798595,
2618
+ "grad_norm": 0.9188523292541504,
2619
+ "learning_rate": 4.8252244230582e-07,
2620
+ "loss": 0.2435,
2621
+ "step": 373
2622
+ },
2623
+ {
2624
+ "epoch": 2.6182669789227164,
2625
+ "grad_norm": 0.9691129922866821,
2626
+ "learning_rate": 4.6509655843830827e-07,
2627
+ "loss": 0.2444,
2628
+ "step": 374
2629
+ },
2630
+ {
2631
+ "epoch": 2.6252927400468384,
2632
+ "grad_norm": 0.9464864730834961,
2633
+ "learning_rate": 4.4797579255520585e-07,
2634
+ "loss": 0.2615,
2635
+ "step": 375
2636
+ },
2637
+ {
2638
+ "epoch": 2.6323185011709604,
2639
+ "grad_norm": 0.7935175895690918,
2640
+ "learning_rate": 4.311612965781903e-07,
2641
+ "loss": 0.2553,
2642
+ "step": 376
2643
+ },
2644
+ {
2645
+ "epoch": 2.639344262295082,
2646
+ "grad_norm": 0.9593071937561035,
2647
+ "learning_rate": 4.1465420182244476e-07,
2648
+ "loss": 0.2364,
2649
+ "step": 377
2650
+ },
2651
+ {
2652
+ "epoch": 2.6463700234192036,
2653
+ "grad_norm": 0.9605007171630859,
2654
+ "learning_rate": 3.984556189205441e-07,
2655
+ "loss": 0.2647,
2656
+ "step": 378
2657
+ },
2658
+ {
2659
+ "epoch": 2.6533957845433256,
2660
+ "grad_norm": 0.9680880904197693,
2661
+ "learning_rate": 3.8256663774772383e-07,
2662
+ "loss": 0.2778,
2663
+ "step": 379
2664
+ },
2665
+ {
2666
+ "epoch": 2.660421545667447,
2667
+ "grad_norm": 0.9246297478675842,
2668
+ "learning_rate": 3.669883273485575e-07,
2669
+ "loss": 0.2183,
2670
+ "step": 380
2671
+ },
2672
+ {
2673
+ "epoch": 2.667447306791569,
2674
+ "grad_norm": 0.940924882888794,
2675
+ "learning_rate": 3.5172173586502543e-07,
2676
+ "loss": 0.2297,
2677
+ "step": 381
2678
+ },
2679
+ {
2680
+ "epoch": 2.6744730679156907,
2681
+ "grad_norm": 0.9774589538574219,
2682
+ "learning_rate": 3.3676789046599045e-07,
2683
+ "loss": 0.28,
2684
+ "step": 382
2685
+ },
2686
+ {
2687
+ "epoch": 2.6814988290398127,
2688
+ "grad_norm": 0.9266927242279053,
2689
+ "learning_rate": 3.2212779727809504e-07,
2690
+ "loss": 0.2621,
2691
+ "step": 383
2692
+ },
2693
+ {
2694
+ "epoch": 2.6885245901639343,
2695
+ "grad_norm": 1.0498640537261963,
2696
+ "learning_rate": 3.0780244131806193e-07,
2697
+ "loss": 0.2708,
2698
+ "step": 384
2699
+ },
2700
+ {
2701
+ "epoch": 2.6955503512880563,
2702
+ "grad_norm": 0.9628897905349731,
2703
+ "learning_rate": 2.937927864264206e-07,
2704
+ "loss": 0.2438,
2705
+ "step": 385
2706
+ },
2707
+ {
2708
+ "epoch": 2.702576112412178,
2709
+ "grad_norm": 1.0383293628692627,
2710
+ "learning_rate": 2.800997752026596e-07,
2711
+ "loss": 0.2336,
2712
+ "step": 386
2713
+ },
2714
+ {
2715
+ "epoch": 2.7096018735363,
2716
+ "grad_norm": 0.9352802634239197,
2717
+ "learning_rate": 2.667243289418059e-07,
2718
+ "loss": 0.2046,
2719
+ "step": 387
2720
+ },
2721
+ {
2722
+ "epoch": 2.7166276346604215,
2723
+ "grad_norm": 0.9982126355171204,
2724
+ "learning_rate": 2.5366734757243496e-07,
2725
+ "loss": 0.2286,
2726
+ "step": 388
2727
+ },
2728
+ {
2729
+ "epoch": 2.7236533957845435,
2730
+ "grad_norm": 0.8270314931869507,
2731
+ "learning_rate": 2.4092970959612885e-07,
2732
+ "loss": 0.2675,
2733
+ "step": 389
2734
+ },
2735
+ {
2736
+ "epoch": 2.730679156908665,
2737
+ "grad_norm": 1.0034183263778687,
2738
+ "learning_rate": 2.2851227202836002e-07,
2739
+ "loss": 0.2472,
2740
+ "step": 390
2741
+ },
2742
+ {
2743
+ "epoch": 2.737704918032787,
2744
+ "grad_norm": 0.860130250453949,
2745
+ "learning_rate": 2.1641587034083756e-07,
2746
+ "loss": 0.2215,
2747
+ "step": 391
2748
+ },
2749
+ {
2750
+ "epoch": 2.7447306791569086,
2751
+ "grad_norm": 0.8525372743606567,
2752
+ "learning_rate": 2.0464131840528978e-07,
2753
+ "loss": 0.2216,
2754
+ "step": 392
2755
+ },
2756
+ {
2757
+ "epoch": 2.7517564402810306,
2758
+ "grad_norm": 0.8850567936897278,
2759
+ "learning_rate": 1.9318940843870594e-07,
2760
+ "loss": 0.2656,
2761
+ "step": 393
2762
+ },
2763
+ {
2764
+ "epoch": 2.758782201405152,
2765
+ "grad_norm": 0.9462560415267944,
2766
+ "learning_rate": 1.8206091095003543e-07,
2767
+ "loss": 0.2344,
2768
+ "step": 394
2769
+ },
2770
+ {
2771
+ "epoch": 2.7658079625292737,
2772
+ "grad_norm": 0.8583863973617554,
2773
+ "learning_rate": 1.7125657468834656e-07,
2774
+ "loss": 0.2528,
2775
+ "step": 395
2776
+ },
2777
+ {
2778
+ "epoch": 2.7728337236533958,
2779
+ "grad_norm": 0.9565845131874084,
2780
+ "learning_rate": 1.6077712659244792e-07,
2781
+ "loss": 0.2219,
2782
+ "step": 396
2783
+ },
2784
+ {
2785
+ "epoch": 2.7798594847775178,
2786
+ "grad_norm": 1.0565779209136963,
2787
+ "learning_rate": 1.5062327174197645e-07,
2788
+ "loss": 0.2828,
2789
+ "step": 397
2790
+ },
2791
+ {
2792
+ "epoch": 2.7868852459016393,
2793
+ "grad_norm": 0.9745490550994873,
2794
+ "learning_rate": 1.4079569330996412e-07,
2795
+ "loss": 0.2263,
2796
+ "step": 398
2797
+ },
2798
+ {
2799
+ "epoch": 2.793911007025761,
2800
+ "grad_norm": 0.8957200646400452,
2801
+ "learning_rate": 1.3129505251686603e-07,
2802
+ "loss": 0.2435,
2803
+ "step": 399
2804
+ },
2805
+ {
2806
+ "epoch": 2.800936768149883,
2807
+ "grad_norm": 0.9497512578964233,
2808
+ "learning_rate": 1.2212198858607694e-07,
2809
+ "loss": 0.2531,
2810
+ "step": 400
2811
+ },
2812
+ {
2813
+ "epoch": 2.807962529274005,
2814
+ "grad_norm": 0.9695696234703064,
2815
+ "learning_rate": 1.1327711870091963e-07,
2816
+ "loss": 0.2626,
2817
+ "step": 401
2818
+ },
2819
+ {
2820
+ "epoch": 2.8149882903981265,
2821
+ "grad_norm": 0.9500135183334351,
2822
+ "learning_rate": 1.0476103796312254e-07,
2823
+ "loss": 0.2556,
2824
+ "step": 402
2825
+ },
2826
+ {
2827
+ "epoch": 2.822014051522248,
2828
+ "grad_norm": 0.8701116442680359,
2829
+ "learning_rate": 9.657431935277629e-08,
2830
+ "loss": 0.245,
2831
+ "step": 403
2832
+ },
2833
+ {
2834
+ "epoch": 2.82903981264637,
2835
+ "grad_norm": 1.0138100385665894,
2836
+ "learning_rate": 8.871751368978554e-08,
2837
+ "loss": 0.2142,
2838
+ "step": 404
2839
+ },
2840
+ {
2841
+ "epoch": 2.836065573770492,
2842
+ "grad_norm": 1.0031346082687378,
2843
+ "learning_rate": 8.119114959680929e-08,
2844
+ "loss": 0.2787,
2845
+ "step": 405
2846
+ },
2847
+ {
2848
+ "epoch": 2.8430913348946136,
2849
+ "grad_norm": 1.0052534341812134,
2850
+ "learning_rate": 7.399573346368871e-08,
2851
+ "loss": 0.2605,
2852
+ "step": 406
2853
+ },
2854
+ {
2855
+ "epoch": 2.850117096018735,
2856
+ "grad_norm": 0.9534397721290588,
2857
+ "learning_rate": 6.713174941338163e-08,
2858
+ "loss": 0.1808,
2859
+ "step": 407
2860
+ },
2861
+ {
2862
+ "epoch": 2.857142857142857,
2863
+ "grad_norm": 0.8320339918136597,
2864
+ "learning_rate": 6.05996592693886e-08,
2865
+ "loss": 0.2762,
2866
+ "step": 408
2867
+ },
2868
+ {
2869
+ "epoch": 2.8641686182669788,
2870
+ "grad_norm": 0.8851465582847595,
2871
+ "learning_rate": 5.439990252467886e-08,
2872
+ "loss": 0.2707,
2873
+ "step": 409
2874
+ },
2875
+ {
2876
+ "epoch": 2.871194379391101,
2877
+ "grad_norm": 1.0061311721801758,
2878
+ "learning_rate": 4.853289631212066e-08,
2879
+ "loss": 0.2291,
2880
+ "step": 410
2881
+ },
2882
+ {
2883
+ "epoch": 2.8782201405152223,
2884
+ "grad_norm": 0.8934303522109985,
2885
+ "learning_rate": 4.299903537641703e-08,
2886
+ "loss": 0.2626,
2887
+ "step": 411
2888
+ },
2889
+ {
2890
+ "epoch": 2.8852459016393444,
2891
+ "grad_norm": 1.021590232849121,
2892
+ "learning_rate": 3.779869204754427e-08,
2893
+ "loss": 0.2321,
2894
+ "step": 412
2895
+ },
2896
+ {
2897
+ "epoch": 2.892271662763466,
2898
+ "grad_norm": 0.8953171372413635,
2899
+ "learning_rate": 3.2932216215704195e-08,
2900
+ "loss": 0.2318,
2901
+ "step": 413
2902
+ },
2903
+ {
2904
+ "epoch": 2.899297423887588,
2905
+ "grad_norm": 0.9159654974937439,
2906
+ "learning_rate": 2.8399935307778516e-08,
2907
+ "loss": 0.2313,
2908
+ "step": 414
2909
+ },
2910
+ {
2911
+ "epoch": 2.9063231850117095,
2912
+ "grad_norm": 0.9971858859062195,
2913
+ "learning_rate": 2.420215426530259e-08,
2914
+ "loss": 0.2179,
2915
+ "step": 415
2916
+ },
2917
+ {
2918
+ "epoch": 2.9133489461358315,
2919
+ "grad_norm": 0.9292712807655334,
2920
+ "learning_rate": 2.0339155523945164e-08,
2921
+ "loss": 0.2408,
2922
+ "step": 416
2923
+ },
2924
+ {
2925
+ "epoch": 2.920374707259953,
2926
+ "grad_norm": 0.9429396390914917,
2927
+ "learning_rate": 1.681119899450856e-08,
2928
+ "loss": 0.2313,
2929
+ "step": 417
2930
+ },
2931
+ {
2932
+ "epoch": 2.927400468384075,
2933
+ "grad_norm": 0.9161145687103271,
2934
+ "learning_rate": 1.3618522045439897e-08,
2935
+ "loss": 0.2418,
2936
+ "step": 418
2937
+ },
2938
+ {
2939
+ "epoch": 2.9344262295081966,
2940
+ "grad_norm": 0.8718361258506775,
2941
+ "learning_rate": 1.0761339486859424e-08,
2942
+ "loss": 0.1984,
2943
+ "step": 419
2944
+ },
2945
+ {
2946
+ "epoch": 2.9414519906323187,
2947
+ "grad_norm": 1.0120435953140259,
2948
+ "learning_rate": 8.239843556108739e-09,
2949
+ "loss": 0.2767,
2950
+ "step": 420
2951
+ },
2952
+ {
2953
+ "epoch": 2.9484777517564402,
2954
+ "grad_norm": 0.9099938273429871,
2955
+ "learning_rate": 6.054203904817812e-09,
2956
+ "loss": 0.2798,
2957
+ "step": 421
2958
+ },
2959
+ {
2960
+ "epoch": 2.9555035128805622,
2961
+ "grad_norm": 0.9376184344291687,
2962
+ "learning_rate": 4.204567587486885e-09,
2963
+ "loss": 0.2187,
2964
+ "step": 422
2965
+ },
2966
+ {
2967
+ "epoch": 2.962529274004684,
2968
+ "grad_norm": 0.9267457127571106,
2969
+ "learning_rate": 2.6910590515966117e-09,
2970
+ "loss": 0.2665,
2971
+ "step": 423
2972
+ },
2973
+ {
2974
+ "epoch": 2.9695550351288054,
2975
+ "grad_norm": 1.0073524713516235,
2976
+ "learning_rate": 1.5137801292325338e-09,
2977
+ "loss": 0.2256,
2978
+ "step": 424
2979
+ },
2980
+ {
2981
+ "epoch": 2.9765807962529274,
2982
+ "grad_norm": 0.8901485204696655,
2983
+ "learning_rate": 6.728100302327844e-10,
2984
+ "loss": 0.2625,
2985
+ "step": 425
2986
+ },
2987
+ {
2988
+ "epoch": 2.9836065573770494,
2989
+ "grad_norm": 0.9644309878349304,
2990
+ "learning_rate": 1.6820533686179308e-10,
2991
+ "loss": 0.2242,
2992
+ "step": 426
2993
+ },
2994
+ {
2995
+ "epoch": 2.9836065573770494,
2996
+ "step": 426,
2997
+ "total_flos": 7.440485693207347e+16,
2998
+ "train_loss": 0.40016700194475235,
2999
+ "train_runtime": 24963.7361,
3000
+ "train_samples_per_second": 0.411,
3001
+ "train_steps_per_second": 0.017
3002
+ }
3003
+ ],
3004
+ "logging_steps": 1,
3005
+ "max_steps": 426,
3006
+ "num_input_tokens_seen": 0,
3007
+ "num_train_epochs": 3,
3008
+ "save_steps": 200,
3009
+ "stateful_callbacks": {
3010
+ "TrainerControl": {
3011
+ "args": {
3012
+ "should_epoch_stop": false,
3013
+ "should_evaluate": false,
3014
+ "should_log": false,
3015
+ "should_save": true,
3016
+ "should_training_stop": true
3017
+ },
3018
+ "attributes": {}
3019
+ }
3020
+ },
3021
+ "total_flos": 7.440485693207347e+16,
3022
+ "train_batch_size": 1,
3023
+ "trial_name": null,
3024
+ "trial_params": null
3025
+ }
training_loss.png ADDED