neginr commited on
Commit
4554d2f
·
verified ·
1 Parent(s): 9504df1

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 +2772 -0
  5. training_loss.png +0 -0
README.md CHANGED
@@ -4,6 +4,7 @@ license: apache-2.0
4
  base_model: Qwen/Qwen2.5-7B-Instruct
5
  tags:
6
  - llama-factory
 
7
  - generated_from_trainer
8
  model-index:
9
  - name: b2_code_fasttext_pos_codeforces_neg_codereview_10k
@@ -15,7 +16,7 @@ should probably proofread and complete it, then remove this comment. -->
15
 
16
  # b2_code_fasttext_pos_codeforces_neg_codereview_10k
17
 
18
- This model is a fine-tuned version of [Qwen/Qwen2.5-7B-Instruct](https://huggingface.co/Qwen/Qwen2.5-7B-Instruct) on an unknown dataset.
19
 
20
  ## Model description
21
 
 
4
  base_model: Qwen/Qwen2.5-7B-Instruct
5
  tags:
6
  - llama-factory
7
+ - full
8
  - generated_from_trainer
9
  model-index:
10
  - name: b2_code_fasttext_pos_codeforces_neg_codereview_10k
 
16
 
17
  # b2_code_fasttext_pos_codeforces_neg_codereview_10k
18
 
19
+ This model is a fine-tuned version of [Qwen/Qwen2.5-7B-Instruct](https://huggingface.co/Qwen/Qwen2.5-7B-Instruct) on the mlfoundations-dev/b2_code_fasttext_pos_codeforces_neg_codereview_10k dataset.
20
 
21
  ## Model description
22
 
all_results.json ADDED
@@ -0,0 +1,8 @@
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "epoch": 4.993610223642173,
3
+ "total_flos": 1.2901911719428751e+18,
4
+ "train_loss": 0.14476858102358303,
5
+ "train_runtime": 3885.8859,
6
+ "train_samples_per_second": 12.867,
7
+ "train_steps_per_second": 0.1
8
+ }
train_results.json ADDED
@@ -0,0 +1,8 @@
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "epoch": 4.993610223642173,
3
+ "total_flos": 1.2901911719428751e+18,
4
+ "train_loss": 0.14476858102358303,
5
+ "train_runtime": 3885.8859,
6
+ "train_samples_per_second": 12.867,
7
+ "train_steps_per_second": 0.1
8
+ }
trainer_state.json ADDED
@@ -0,0 +1,2772 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_metric": null,
3
+ "best_model_checkpoint": null,
4
+ "epoch": 4.993610223642173,
5
+ "eval_steps": 500,
6
+ "global_step": 390,
7
+ "is_hyper_param_search": false,
8
+ "is_local_process_zero": true,
9
+ "is_world_process_zero": true,
10
+ "log_history": [
11
+ {
12
+ "epoch": 0.012779552715654952,
13
+ "grad_norm": 6.606391299183944,
14
+ "learning_rate": 1.0256410256410257e-06,
15
+ "loss": 1.0439,
16
+ "step": 1
17
+ },
18
+ {
19
+ "epoch": 0.025559105431309903,
20
+ "grad_norm": 6.580557712601049,
21
+ "learning_rate": 2.0512820512820513e-06,
22
+ "loss": 1.0507,
23
+ "step": 2
24
+ },
25
+ {
26
+ "epoch": 0.038338658146964855,
27
+ "grad_norm": 6.509005644872208,
28
+ "learning_rate": 3.0769230769230774e-06,
29
+ "loss": 1.0409,
30
+ "step": 3
31
+ },
32
+ {
33
+ "epoch": 0.051118210862619806,
34
+ "grad_norm": 5.947065826738325,
35
+ "learning_rate": 4.102564102564103e-06,
36
+ "loss": 1.0366,
37
+ "step": 4
38
+ },
39
+ {
40
+ "epoch": 0.06389776357827476,
41
+ "grad_norm": 4.4097960543741825,
42
+ "learning_rate": 5.128205128205128e-06,
43
+ "loss": 0.9889,
44
+ "step": 5
45
+ },
46
+ {
47
+ "epoch": 0.07667731629392971,
48
+ "grad_norm": 2.818415172846207,
49
+ "learning_rate": 6.153846153846155e-06,
50
+ "loss": 0.9628,
51
+ "step": 6
52
+ },
53
+ {
54
+ "epoch": 0.08945686900958466,
55
+ "grad_norm": 2.6496653931802,
56
+ "learning_rate": 7.17948717948718e-06,
57
+ "loss": 0.9587,
58
+ "step": 7
59
+ },
60
+ {
61
+ "epoch": 0.10223642172523961,
62
+ "grad_norm": 4.336870837964605,
63
+ "learning_rate": 8.205128205128205e-06,
64
+ "loss": 0.9602,
65
+ "step": 8
66
+ },
67
+ {
68
+ "epoch": 0.11501597444089456,
69
+ "grad_norm": 4.298942553498102,
70
+ "learning_rate": 9.230769230769232e-06,
71
+ "loss": 0.9378,
72
+ "step": 9
73
+ },
74
+ {
75
+ "epoch": 0.12779552715654952,
76
+ "grad_norm": 4.186284730314603,
77
+ "learning_rate": 1.0256410256410256e-05,
78
+ "loss": 0.912,
79
+ "step": 10
80
+ },
81
+ {
82
+ "epoch": 0.14057507987220447,
83
+ "grad_norm": 3.8257868758679257,
84
+ "learning_rate": 1.1282051282051283e-05,
85
+ "loss": 0.8958,
86
+ "step": 11
87
+ },
88
+ {
89
+ "epoch": 0.15335463258785942,
90
+ "grad_norm": 2.5816728496761097,
91
+ "learning_rate": 1.230769230769231e-05,
92
+ "loss": 0.8622,
93
+ "step": 12
94
+ },
95
+ {
96
+ "epoch": 0.16613418530351437,
97
+ "grad_norm": 1.8503542682907892,
98
+ "learning_rate": 1.3333333333333333e-05,
99
+ "loss": 0.8189,
100
+ "step": 13
101
+ },
102
+ {
103
+ "epoch": 0.17891373801916932,
104
+ "grad_norm": 1.9534484580657967,
105
+ "learning_rate": 1.435897435897436e-05,
106
+ "loss": 0.8372,
107
+ "step": 14
108
+ },
109
+ {
110
+ "epoch": 0.19169329073482427,
111
+ "grad_norm": 1.516048850182833,
112
+ "learning_rate": 1.5384615384615387e-05,
113
+ "loss": 0.8026,
114
+ "step": 15
115
+ },
116
+ {
117
+ "epoch": 0.20447284345047922,
118
+ "grad_norm": 1.0874051240964258,
119
+ "learning_rate": 1.641025641025641e-05,
120
+ "loss": 0.7636,
121
+ "step": 16
122
+ },
123
+ {
124
+ "epoch": 0.21725239616613418,
125
+ "grad_norm": 1.1631866901137267,
126
+ "learning_rate": 1.7435897435897438e-05,
127
+ "loss": 0.7816,
128
+ "step": 17
129
+ },
130
+ {
131
+ "epoch": 0.23003194888178913,
132
+ "grad_norm": 1.2171907306151695,
133
+ "learning_rate": 1.8461538461538465e-05,
134
+ "loss": 0.7546,
135
+ "step": 18
136
+ },
137
+ {
138
+ "epoch": 0.24281150159744408,
139
+ "grad_norm": 0.9490832264240321,
140
+ "learning_rate": 1.9487179487179488e-05,
141
+ "loss": 0.7234,
142
+ "step": 19
143
+ },
144
+ {
145
+ "epoch": 0.25559105431309903,
146
+ "grad_norm": 0.9462270136925807,
147
+ "learning_rate": 2.0512820512820512e-05,
148
+ "loss": 0.7333,
149
+ "step": 20
150
+ },
151
+ {
152
+ "epoch": 0.268370607028754,
153
+ "grad_norm": 1.1591760710159509,
154
+ "learning_rate": 2.153846153846154e-05,
155
+ "loss": 0.748,
156
+ "step": 21
157
+ },
158
+ {
159
+ "epoch": 0.28115015974440893,
160
+ "grad_norm": 0.7918148886565669,
161
+ "learning_rate": 2.2564102564102566e-05,
162
+ "loss": 0.7159,
163
+ "step": 22
164
+ },
165
+ {
166
+ "epoch": 0.2939297124600639,
167
+ "grad_norm": 0.9632675527150978,
168
+ "learning_rate": 2.3589743589743593e-05,
169
+ "loss": 0.6958,
170
+ "step": 23
171
+ },
172
+ {
173
+ "epoch": 0.30670926517571884,
174
+ "grad_norm": 0.9408213867843294,
175
+ "learning_rate": 2.461538461538462e-05,
176
+ "loss": 0.7061,
177
+ "step": 24
178
+ },
179
+ {
180
+ "epoch": 0.3194888178913738,
181
+ "grad_norm": 0.7998105188303717,
182
+ "learning_rate": 2.5641025641025646e-05,
183
+ "loss": 0.7056,
184
+ "step": 25
185
+ },
186
+ {
187
+ "epoch": 0.33226837060702874,
188
+ "grad_norm": 0.9885203953583884,
189
+ "learning_rate": 2.6666666666666667e-05,
190
+ "loss": 0.7043,
191
+ "step": 26
192
+ },
193
+ {
194
+ "epoch": 0.3450479233226837,
195
+ "grad_norm": 0.8586191987847381,
196
+ "learning_rate": 2.7692307692307694e-05,
197
+ "loss": 0.689,
198
+ "step": 27
199
+ },
200
+ {
201
+ "epoch": 0.35782747603833864,
202
+ "grad_norm": 0.8572793221628082,
203
+ "learning_rate": 2.871794871794872e-05,
204
+ "loss": 0.6885,
205
+ "step": 28
206
+ },
207
+ {
208
+ "epoch": 0.3706070287539936,
209
+ "grad_norm": 0.703637939749516,
210
+ "learning_rate": 2.9743589743589747e-05,
211
+ "loss": 0.6829,
212
+ "step": 29
213
+ },
214
+ {
215
+ "epoch": 0.38338658146964855,
216
+ "grad_norm": 0.9933804760621775,
217
+ "learning_rate": 3.0769230769230774e-05,
218
+ "loss": 0.6938,
219
+ "step": 30
220
+ },
221
+ {
222
+ "epoch": 0.3961661341853035,
223
+ "grad_norm": 0.8925386250116185,
224
+ "learning_rate": 3.1794871794871795e-05,
225
+ "loss": 0.6863,
226
+ "step": 31
227
+ },
228
+ {
229
+ "epoch": 0.40894568690095845,
230
+ "grad_norm": 1.0350535569861223,
231
+ "learning_rate": 3.282051282051282e-05,
232
+ "loss": 0.6893,
233
+ "step": 32
234
+ },
235
+ {
236
+ "epoch": 0.4217252396166134,
237
+ "grad_norm": 1.1445914450631147,
238
+ "learning_rate": 3.384615384615385e-05,
239
+ "loss": 0.6708,
240
+ "step": 33
241
+ },
242
+ {
243
+ "epoch": 0.43450479233226835,
244
+ "grad_norm": 0.8753384928477117,
245
+ "learning_rate": 3.4871794871794875e-05,
246
+ "loss": 0.6939,
247
+ "step": 34
248
+ },
249
+ {
250
+ "epoch": 0.4472843450479233,
251
+ "grad_norm": 0.8393311315022303,
252
+ "learning_rate": 3.58974358974359e-05,
253
+ "loss": 0.6661,
254
+ "step": 35
255
+ },
256
+ {
257
+ "epoch": 0.46006389776357826,
258
+ "grad_norm": 1.1565786569988288,
259
+ "learning_rate": 3.692307692307693e-05,
260
+ "loss": 0.6669,
261
+ "step": 36
262
+ },
263
+ {
264
+ "epoch": 0.4728434504792332,
265
+ "grad_norm": 0.6967547302370791,
266
+ "learning_rate": 3.794871794871795e-05,
267
+ "loss": 0.6626,
268
+ "step": 37
269
+ },
270
+ {
271
+ "epoch": 0.48562300319488816,
272
+ "grad_norm": 0.8751186173570553,
273
+ "learning_rate": 3.8974358974358976e-05,
274
+ "loss": 0.6393,
275
+ "step": 38
276
+ },
277
+ {
278
+ "epoch": 0.4984025559105431,
279
+ "grad_norm": 1.2770961083050876,
280
+ "learning_rate": 4e-05,
281
+ "loss": 0.6676,
282
+ "step": 39
283
+ },
284
+ {
285
+ "epoch": 0.5111821086261981,
286
+ "grad_norm": 1.2772025124958417,
287
+ "learning_rate": 3.9999198907597046e-05,
288
+ "loss": 0.6667,
289
+ "step": 40
290
+ },
291
+ {
292
+ "epoch": 0.5239616613418531,
293
+ "grad_norm": 0.8066890893797722,
294
+ "learning_rate": 3.9996795694563096e-05,
295
+ "loss": 0.6499,
296
+ "step": 41
297
+ },
298
+ {
299
+ "epoch": 0.536741214057508,
300
+ "grad_norm": 1.579755868796052,
301
+ "learning_rate": 3.999279055341771e-05,
302
+ "loss": 0.6569,
303
+ "step": 42
304
+ },
305
+ {
306
+ "epoch": 0.549520766773163,
307
+ "grad_norm": 0.706322047158653,
308
+ "learning_rate": 3.998718380500971e-05,
309
+ "loss": 0.6541,
310
+ "step": 43
311
+ },
312
+ {
313
+ "epoch": 0.5623003194888179,
314
+ "grad_norm": 1.586782594427505,
315
+ "learning_rate": 3.997997589849145e-05,
316
+ "loss": 0.652,
317
+ "step": 44
318
+ },
319
+ {
320
+ "epoch": 0.5750798722044729,
321
+ "grad_norm": 1.0807329202383447,
322
+ "learning_rate": 3.9971167411282835e-05,
323
+ "loss": 0.6556,
324
+ "step": 45
325
+ },
326
+ {
327
+ "epoch": 0.5878594249201278,
328
+ "grad_norm": 1.6536678088892875,
329
+ "learning_rate": 3.99607590490251e-05,
330
+ "loss": 0.6444,
331
+ "step": 46
332
+ },
333
+ {
334
+ "epoch": 0.6006389776357828,
335
+ "grad_norm": 1.1989223290936704,
336
+ "learning_rate": 3.9948751645524235e-05,
337
+ "loss": 0.6581,
338
+ "step": 47
339
+ },
340
+ {
341
+ "epoch": 0.6134185303514377,
342
+ "grad_norm": 1.5873983130186309,
343
+ "learning_rate": 3.9935146162684206e-05,
344
+ "loss": 0.634,
345
+ "step": 48
346
+ },
347
+ {
348
+ "epoch": 0.6261980830670927,
349
+ "grad_norm": 1.2371929427150843,
350
+ "learning_rate": 3.9919943690429906e-05,
351
+ "loss": 0.6423,
352
+ "step": 49
353
+ },
354
+ {
355
+ "epoch": 0.6389776357827476,
356
+ "grad_norm": 1.373873539863577,
357
+ "learning_rate": 3.9903145446619837e-05,
358
+ "loss": 0.6462,
359
+ "step": 50
360
+ },
361
+ {
362
+ "epoch": 0.6517571884984026,
363
+ "grad_norm": 1.1016235774139902,
364
+ "learning_rate": 3.9884752776948564e-05,
365
+ "loss": 0.6401,
366
+ "step": 51
367
+ },
368
+ {
369
+ "epoch": 0.6645367412140575,
370
+ "grad_norm": 1.1209870974953269,
371
+ "learning_rate": 3.9864767154838864e-05,
372
+ "loss": 0.6367,
373
+ "step": 52
374
+ },
375
+ {
376
+ "epoch": 0.6773162939297125,
377
+ "grad_norm": 1.0860208778406302,
378
+ "learning_rate": 3.9843190181323744e-05,
379
+ "loss": 0.6417,
380
+ "step": 53
381
+ },
382
+ {
383
+ "epoch": 0.6900958466453674,
384
+ "grad_norm": 1.1698853570343006,
385
+ "learning_rate": 3.982002358491817e-05,
386
+ "loss": 0.6434,
387
+ "step": 54
388
+ },
389
+ {
390
+ "epoch": 0.7028753993610224,
391
+ "grad_norm": 0.9936615094214557,
392
+ "learning_rate": 3.979526922148058e-05,
393
+ "loss": 0.6428,
394
+ "step": 55
395
+ },
396
+ {
397
+ "epoch": 0.7156549520766773,
398
+ "grad_norm": 1.0541150791659504,
399
+ "learning_rate": 3.9768929074064206e-05,
400
+ "loss": 0.6509,
401
+ "step": 56
402
+ },
403
+ {
404
+ "epoch": 0.7284345047923323,
405
+ "grad_norm": 0.9556652153918601,
406
+ "learning_rate": 3.9741005252758255e-05,
407
+ "loss": 0.6287,
408
+ "step": 57
409
+ },
410
+ {
411
+ "epoch": 0.7412140575079872,
412
+ "grad_norm": 0.954056106286679,
413
+ "learning_rate": 3.971149999451886e-05,
414
+ "loss": 0.6293,
415
+ "step": 58
416
+ },
417
+ {
418
+ "epoch": 0.7539936102236422,
419
+ "grad_norm": 1.2607602622746636,
420
+ "learning_rate": 3.9680415662989806e-05,
421
+ "loss": 0.6451,
422
+ "step": 59
423
+ },
424
+ {
425
+ "epoch": 0.7667731629392971,
426
+ "grad_norm": 0.638676278829799,
427
+ "learning_rate": 3.9647754748313294e-05,
428
+ "loss": 0.6356,
429
+ "step": 60
430
+ },
431
+ {
432
+ "epoch": 0.7795527156549521,
433
+ "grad_norm": 1.0681234854801602,
434
+ "learning_rate": 3.96135198669304e-05,
435
+ "loss": 0.6368,
436
+ "step": 61
437
+ },
438
+ {
439
+ "epoch": 0.792332268370607,
440
+ "grad_norm": 1.033023863786734,
441
+ "learning_rate": 3.957771376137144e-05,
442
+ "loss": 0.6062,
443
+ "step": 62
444
+ },
445
+ {
446
+ "epoch": 0.805111821086262,
447
+ "grad_norm": 0.9542423560838191,
448
+ "learning_rate": 3.954033930003634e-05,
449
+ "loss": 0.6273,
450
+ "step": 63
451
+ },
452
+ {
453
+ "epoch": 0.8178913738019169,
454
+ "grad_norm": 0.9254432594288557,
455
+ "learning_rate": 3.9501399476964806e-05,
456
+ "loss": 0.6228,
457
+ "step": 64
458
+ },
459
+ {
460
+ "epoch": 0.8306709265175719,
461
+ "grad_norm": 0.7617576652045225,
462
+ "learning_rate": 3.946089741159648e-05,
463
+ "loss": 0.6106,
464
+ "step": 65
465
+ },
466
+ {
467
+ "epoch": 0.8434504792332268,
468
+ "grad_norm": 0.6249220755858457,
469
+ "learning_rate": 3.9418836348521045e-05,
470
+ "loss": 0.6333,
471
+ "step": 66
472
+ },
473
+ {
474
+ "epoch": 0.8562300319488818,
475
+ "grad_norm": 0.977881184781753,
476
+ "learning_rate": 3.937521965721831e-05,
477
+ "loss": 0.6158,
478
+ "step": 67
479
+ },
480
+ {
481
+ "epoch": 0.8690095846645367,
482
+ "grad_norm": 1.0978122758989277,
483
+ "learning_rate": 3.933005083178828e-05,
484
+ "loss": 0.627,
485
+ "step": 68
486
+ },
487
+ {
488
+ "epoch": 0.8817891373801917,
489
+ "grad_norm": 0.657146186705749,
490
+ "learning_rate": 3.928333349067125e-05,
491
+ "loss": 0.6355,
492
+ "step": 69
493
+ },
494
+ {
495
+ "epoch": 0.8945686900958466,
496
+ "grad_norm": 0.6445634396508156,
497
+ "learning_rate": 3.923507137635792e-05,
498
+ "loss": 0.6269,
499
+ "step": 70
500
+ },
501
+ {
502
+ "epoch": 0.9073482428115016,
503
+ "grad_norm": 0.8852782221046644,
504
+ "learning_rate": 3.9185268355089606e-05,
505
+ "loss": 0.6358,
506
+ "step": 71
507
+ },
508
+ {
509
+ "epoch": 0.9201277955271565,
510
+ "grad_norm": 0.8747591576573158,
511
+ "learning_rate": 3.913392841654851e-05,
512
+ "loss": 0.6365,
513
+ "step": 72
514
+ },
515
+ {
516
+ "epoch": 0.9329073482428115,
517
+ "grad_norm": 0.7450313154115504,
518
+ "learning_rate": 3.9081055673538093e-05,
519
+ "loss": 0.6213,
520
+ "step": 73
521
+ },
522
+ {
523
+ "epoch": 0.9456869009584664,
524
+ "grad_norm": 0.7884996548731228,
525
+ "learning_rate": 3.902665436165364e-05,
526
+ "loss": 0.6176,
527
+ "step": 74
528
+ },
529
+ {
530
+ "epoch": 0.9584664536741214,
531
+ "grad_norm": 0.7688130173646047,
532
+ "learning_rate": 3.897072883894291e-05,
533
+ "loss": 0.6165,
534
+ "step": 75
535
+ },
536
+ {
537
+ "epoch": 0.9712460063897763,
538
+ "grad_norm": 0.6191938351479404,
539
+ "learning_rate": 3.8913283585557054e-05,
540
+ "loss": 0.6137,
541
+ "step": 76
542
+ },
543
+ {
544
+ "epoch": 0.9840255591054313,
545
+ "grad_norm": 0.7872267173045574,
546
+ "learning_rate": 3.885432320339167e-05,
547
+ "loss": 0.6186,
548
+ "step": 77
549
+ },
550
+ {
551
+ "epoch": 0.9968051118210862,
552
+ "grad_norm": 0.895477964352014,
553
+ "learning_rate": 3.879385241571817e-05,
554
+ "loss": 0.6167,
555
+ "step": 78
556
+ },
557
+ {
558
+ "epoch": 1.0095846645367412,
559
+ "grad_norm": 0.8308432476526806,
560
+ "learning_rate": 3.873187606680543e-05,
561
+ "loss": 0.5632,
562
+ "step": 79
563
+ },
564
+ {
565
+ "epoch": 1.0223642172523961,
566
+ "grad_norm": 0.5713434732452398,
567
+ "learning_rate": 3.866839912153168e-05,
568
+ "loss": 0.5521,
569
+ "step": 80
570
+ },
571
+ {
572
+ "epoch": 1.035143769968051,
573
+ "grad_norm": 0.7142369781512922,
574
+ "learning_rate": 3.860342666498677e-05,
575
+ "loss": 0.5572,
576
+ "step": 81
577
+ },
578
+ {
579
+ "epoch": 1.0479233226837061,
580
+ "grad_norm": 0.799601323958914,
581
+ "learning_rate": 3.853696390206484e-05,
582
+ "loss": 0.5544,
583
+ "step": 82
584
+ },
585
+ {
586
+ "epoch": 1.060702875399361,
587
+ "grad_norm": 0.7455938478793749,
588
+ "learning_rate": 3.846901615704734e-05,
589
+ "loss": 0.5552,
590
+ "step": 83
591
+ },
592
+ {
593
+ "epoch": 1.073482428115016,
594
+ "grad_norm": 0.6034988797649778,
595
+ "learning_rate": 3.839958887317649e-05,
596
+ "loss": 0.5532,
597
+ "step": 84
598
+ },
599
+ {
600
+ "epoch": 1.0862619808306708,
601
+ "grad_norm": 0.6770389869828726,
602
+ "learning_rate": 3.832868761221926e-05,
603
+ "loss": 0.5451,
604
+ "step": 85
605
+ },
606
+ {
607
+ "epoch": 1.099041533546326,
608
+ "grad_norm": 0.954540528268312,
609
+ "learning_rate": 3.825631805402182e-05,
610
+ "loss": 0.5503,
611
+ "step": 86
612
+ },
613
+ {
614
+ "epoch": 1.1118210862619808,
615
+ "grad_norm": 0.8213749729805485,
616
+ "learning_rate": 3.818248599605448e-05,
617
+ "loss": 0.5601,
618
+ "step": 87
619
+ },
620
+ {
621
+ "epoch": 1.1246006389776357,
622
+ "grad_norm": 0.741351276087373,
623
+ "learning_rate": 3.810719735294731e-05,
624
+ "loss": 0.5654,
625
+ "step": 88
626
+ },
627
+ {
628
+ "epoch": 1.1373801916932909,
629
+ "grad_norm": 0.8481794308869871,
630
+ "learning_rate": 3.8030458156016326e-05,
631
+ "loss": 0.5565,
632
+ "step": 89
633
+ },
634
+ {
635
+ "epoch": 1.1501597444089458,
636
+ "grad_norm": 0.7594004526515341,
637
+ "learning_rate": 3.795227455278029e-05,
638
+ "loss": 0.5545,
639
+ "step": 90
640
+ },
641
+ {
642
+ "epoch": 1.1629392971246006,
643
+ "grad_norm": 0.632168169185403,
644
+ "learning_rate": 3.787265280646825e-05,
645
+ "loss": 0.5457,
646
+ "step": 91
647
+ },
648
+ {
649
+ "epoch": 1.1757188498402555,
650
+ "grad_norm": 0.7031486638124088,
651
+ "learning_rate": 3.7791599295517825e-05,
652
+ "loss": 0.5468,
653
+ "step": 92
654
+ },
655
+ {
656
+ "epoch": 1.1884984025559104,
657
+ "grad_norm": 0.6808588700454326,
658
+ "learning_rate": 3.7709120513064196e-05,
659
+ "loss": 0.5536,
660
+ "step": 93
661
+ },
662
+ {
663
+ "epoch": 1.2012779552715656,
664
+ "grad_norm": 0.6921396282319281,
665
+ "learning_rate": 3.762522306641998e-05,
666
+ "loss": 0.5506,
667
+ "step": 94
668
+ },
669
+ {
670
+ "epoch": 1.2140575079872205,
671
+ "grad_norm": 0.5121947510357499,
672
+ "learning_rate": 3.7539913676545874e-05,
673
+ "loss": 0.5522,
674
+ "step": 95
675
+ },
676
+ {
677
+ "epoch": 1.2268370607028753,
678
+ "grad_norm": 0.6392685476020531,
679
+ "learning_rate": 3.745319917751229e-05,
680
+ "loss": 0.5558,
681
+ "step": 96
682
+ },
683
+ {
684
+ "epoch": 1.2396166134185305,
685
+ "grad_norm": 0.5837442702174773,
686
+ "learning_rate": 3.736508651595188e-05,
687
+ "loss": 0.5578,
688
+ "step": 97
689
+ },
690
+ {
691
+ "epoch": 1.2523961661341854,
692
+ "grad_norm": 0.4530666164198027,
693
+ "learning_rate": 3.727558275050301e-05,
694
+ "loss": 0.5458,
695
+ "step": 98
696
+ },
697
+ {
698
+ "epoch": 1.2651757188498403,
699
+ "grad_norm": 0.602372240522267,
700
+ "learning_rate": 3.718469505124434e-05,
701
+ "loss": 0.5501,
702
+ "step": 99
703
+ },
704
+ {
705
+ "epoch": 1.2779552715654952,
706
+ "grad_norm": 0.5644538160733871,
707
+ "learning_rate": 3.709243069912041e-05,
708
+ "loss": 0.5443,
709
+ "step": 100
710
+ },
711
+ {
712
+ "epoch": 1.29073482428115,
713
+ "grad_norm": 0.6022811499264725,
714
+ "learning_rate": 3.699879708535838e-05,
715
+ "loss": 0.5487,
716
+ "step": 101
717
+ },
718
+ {
719
+ "epoch": 1.3035143769968052,
720
+ "grad_norm": 0.550906743250385,
721
+ "learning_rate": 3.69038017108759e-05,
722
+ "loss": 0.5509,
723
+ "step": 102
724
+ },
725
+ {
726
+ "epoch": 1.31629392971246,
727
+ "grad_norm": 0.6233956386597138,
728
+ "learning_rate": 3.680745218568026e-05,
729
+ "loss": 0.5534,
730
+ "step": 103
731
+ },
732
+ {
733
+ "epoch": 1.329073482428115,
734
+ "grad_norm": 0.5182024410893715,
735
+ "learning_rate": 3.6709756228258735e-05,
736
+ "loss": 0.556,
737
+ "step": 104
738
+ },
739
+ {
740
+ "epoch": 1.34185303514377,
741
+ "grad_norm": 0.564945200040499,
742
+ "learning_rate": 3.6610721664960236e-05,
743
+ "loss": 0.5512,
744
+ "step": 105
745
+ },
746
+ {
747
+ "epoch": 1.354632587859425,
748
+ "grad_norm": 0.612513184636645,
749
+ "learning_rate": 3.65103564293684e-05,
750
+ "loss": 0.5408,
751
+ "step": 106
752
+ },
753
+ {
754
+ "epoch": 1.3674121405750799,
755
+ "grad_norm": 0.5942673792674769,
756
+ "learning_rate": 3.640866856166601e-05,
757
+ "loss": 0.5451,
758
+ "step": 107
759
+ },
760
+ {
761
+ "epoch": 1.3801916932907348,
762
+ "grad_norm": 0.588459067623318,
763
+ "learning_rate": 3.6305666207990886e-05,
764
+ "loss": 0.5485,
765
+ "step": 108
766
+ },
767
+ {
768
+ "epoch": 1.3929712460063897,
769
+ "grad_norm": 0.4140189623419551,
770
+ "learning_rate": 3.6201357619783336e-05,
771
+ "loss": 0.5438,
772
+ "step": 109
773
+ },
774
+ {
775
+ "epoch": 1.4057507987220448,
776
+ "grad_norm": 0.5300715964850526,
777
+ "learning_rate": 3.609575115312511e-05,
778
+ "loss": 0.5539,
779
+ "step": 110
780
+ },
781
+ {
782
+ "epoch": 1.4185303514376997,
783
+ "grad_norm": 0.5406759521793079,
784
+ "learning_rate": 3.598885526807003e-05,
785
+ "loss": 0.5466,
786
+ "step": 111
787
+ },
788
+ {
789
+ "epoch": 1.4313099041533546,
790
+ "grad_norm": 0.47685129470426335,
791
+ "learning_rate": 3.5880678527966224e-05,
792
+ "loss": 0.5438,
793
+ "step": 112
794
+ },
795
+ {
796
+ "epoch": 1.4440894568690097,
797
+ "grad_norm": 0.5398592076049669,
798
+ "learning_rate": 3.577122959877017e-05,
799
+ "loss": 0.5419,
800
+ "step": 113
801
+ },
802
+ {
803
+ "epoch": 1.4568690095846646,
804
+ "grad_norm": 0.5490690544479012,
805
+ "learning_rate": 3.566051724835245e-05,
806
+ "loss": 0.5507,
807
+ "step": 114
808
+ },
809
+ {
810
+ "epoch": 1.4696485623003195,
811
+ "grad_norm": 0.47169320271914167,
812
+ "learning_rate": 3.554855034579532e-05,
813
+ "loss": 0.5346,
814
+ "step": 115
815
+ },
816
+ {
817
+ "epoch": 1.4824281150159744,
818
+ "grad_norm": 0.5414566322709992,
819
+ "learning_rate": 3.5435337860682304e-05,
820
+ "loss": 0.5423,
821
+ "step": 116
822
+ },
823
+ {
824
+ "epoch": 1.4952076677316293,
825
+ "grad_norm": 0.4186816440677675,
826
+ "learning_rate": 3.532088886237956e-05,
827
+ "loss": 0.5655,
828
+ "step": 117
829
+ },
830
+ {
831
+ "epoch": 1.5079872204472844,
832
+ "grad_norm": 0.5111754842170994,
833
+ "learning_rate": 3.520521251930941e-05,
834
+ "loss": 0.5567,
835
+ "step": 118
836
+ },
837
+ {
838
+ "epoch": 1.5207667731629393,
839
+ "grad_norm": 0.4889729745568838,
840
+ "learning_rate": 3.5088318098215805e-05,
841
+ "loss": 0.5494,
842
+ "step": 119
843
+ },
844
+ {
845
+ "epoch": 1.5335463258785942,
846
+ "grad_norm": 0.5970983261404058,
847
+ "learning_rate": 3.497021496342203e-05,
848
+ "loss": 0.5485,
849
+ "step": 120
850
+ },
851
+ {
852
+ "epoch": 1.5463258785942493,
853
+ "grad_norm": 0.6244174589560836,
854
+ "learning_rate": 3.485091257608047e-05,
855
+ "loss": 0.5521,
856
+ "step": 121
857
+ },
858
+ {
859
+ "epoch": 1.5591054313099042,
860
+ "grad_norm": 0.5150332399753115,
861
+ "learning_rate": 3.473042049341474e-05,
862
+ "loss": 0.5263,
863
+ "step": 122
864
+ },
865
+ {
866
+ "epoch": 1.571884984025559,
867
+ "grad_norm": 0.5062479419125213,
868
+ "learning_rate": 3.4608748367954064e-05,
869
+ "loss": 0.5662,
870
+ "step": 123
871
+ },
872
+ {
873
+ "epoch": 1.5846645367412142,
874
+ "grad_norm": 0.5795778408417265,
875
+ "learning_rate": 3.4485905946759965e-05,
876
+ "loss": 0.5388,
877
+ "step": 124
878
+ },
879
+ {
880
+ "epoch": 1.5974440894568689,
881
+ "grad_norm": 0.6101565234254713,
882
+ "learning_rate": 3.4361903070645484e-05,
883
+ "loss": 0.5468,
884
+ "step": 125
885
+ },
886
+ {
887
+ "epoch": 1.610223642172524,
888
+ "grad_norm": 0.5637863425267695,
889
+ "learning_rate": 3.423674967338681e-05,
890
+ "loss": 0.5675,
891
+ "step": 126
892
+ },
893
+ {
894
+ "epoch": 1.623003194888179,
895
+ "grad_norm": 0.5353085598782966,
896
+ "learning_rate": 3.411045578092754e-05,
897
+ "loss": 0.5318,
898
+ "step": 127
899
+ },
900
+ {
901
+ "epoch": 1.6357827476038338,
902
+ "grad_norm": 0.6536912429537135,
903
+ "learning_rate": 3.398303151057543e-05,
904
+ "loss": 0.5605,
905
+ "step": 128
906
+ },
907
+ {
908
+ "epoch": 1.648562300319489,
909
+ "grad_norm": 0.4899086385884318,
910
+ "learning_rate": 3.385448707019199e-05,
911
+ "loss": 0.5538,
912
+ "step": 129
913
+ },
914
+ {
915
+ "epoch": 1.6613418530351438,
916
+ "grad_norm": 0.5325946949888003,
917
+ "learning_rate": 3.372483275737468e-05,
918
+ "loss": 0.5588,
919
+ "step": 130
920
+ },
921
+ {
922
+ "epoch": 1.6741214057507987,
923
+ "grad_norm": 0.5403278546775407,
924
+ "learning_rate": 3.359407895863199e-05,
925
+ "loss": 0.5379,
926
+ "step": 131
927
+ },
928
+ {
929
+ "epoch": 1.6869009584664538,
930
+ "grad_norm": 0.5139765621340018,
931
+ "learning_rate": 3.34622361485514e-05,
932
+ "loss": 0.5425,
933
+ "step": 132
934
+ },
935
+ {
936
+ "epoch": 1.6996805111821085,
937
+ "grad_norm": 0.5582667520807697,
938
+ "learning_rate": 3.332931488896029e-05,
939
+ "loss": 0.5561,
940
+ "step": 133
941
+ },
942
+ {
943
+ "epoch": 1.7124600638977636,
944
+ "grad_norm": 0.5725496792559248,
945
+ "learning_rate": 3.319532582807977e-05,
946
+ "loss": 0.538,
947
+ "step": 134
948
+ },
949
+ {
950
+ "epoch": 1.7252396166134185,
951
+ "grad_norm": 0.5796487796988573,
952
+ "learning_rate": 3.30602796996717e-05,
953
+ "loss": 0.5461,
954
+ "step": 135
955
+ },
956
+ {
957
+ "epoch": 1.7380191693290734,
958
+ "grad_norm": 0.5264811040173926,
959
+ "learning_rate": 3.2924187322178865e-05,
960
+ "loss": 0.5297,
961
+ "step": 136
962
+ },
963
+ {
964
+ "epoch": 1.7507987220447285,
965
+ "grad_norm": 0.5094443596891554,
966
+ "learning_rate": 3.278705959785821e-05,
967
+ "loss": 0.5425,
968
+ "step": 137
969
+ },
970
+ {
971
+ "epoch": 1.7635782747603834,
972
+ "grad_norm": 0.560498854774084,
973
+ "learning_rate": 3.2648907511907544e-05,
974
+ "loss": 0.5288,
975
+ "step": 138
976
+ },
977
+ {
978
+ "epoch": 1.7763578274760383,
979
+ "grad_norm": 0.5650237995626031,
980
+ "learning_rate": 3.250974213158555e-05,
981
+ "loss": 0.5402,
982
+ "step": 139
983
+ },
984
+ {
985
+ "epoch": 1.7891373801916934,
986
+ "grad_norm": 0.5736887246028277,
987
+ "learning_rate": 3.23695746053251e-05,
988
+ "loss": 0.5462,
989
+ "step": 140
990
+ },
991
+ {
992
+ "epoch": 1.8019169329073481,
993
+ "grad_norm": 0.6448216840943815,
994
+ "learning_rate": 3.222841616184025e-05,
995
+ "loss": 0.5457,
996
+ "step": 141
997
+ },
998
+ {
999
+ "epoch": 1.8146964856230032,
1000
+ "grad_norm": 0.5409547316064893,
1001
+ "learning_rate": 3.208627810922665e-05,
1002
+ "loss": 0.5467,
1003
+ "step": 142
1004
+ },
1005
+ {
1006
+ "epoch": 1.8274760383386581,
1007
+ "grad_norm": 0.5281660531292864,
1008
+ "learning_rate": 3.194317183405573e-05,
1009
+ "loss": 0.5584,
1010
+ "step": 143
1011
+ },
1012
+ {
1013
+ "epoch": 1.840255591054313,
1014
+ "grad_norm": 0.5642907834669127,
1015
+ "learning_rate": 3.1799108800462466e-05,
1016
+ "loss": 0.5397,
1017
+ "step": 144
1018
+ },
1019
+ {
1020
+ "epoch": 1.8530351437699681,
1021
+ "grad_norm": 0.6958435076312217,
1022
+ "learning_rate": 3.1654100549227024e-05,
1023
+ "loss": 0.5619,
1024
+ "step": 145
1025
+ },
1026
+ {
1027
+ "epoch": 1.865814696485623,
1028
+ "grad_norm": 0.44915446473186066,
1029
+ "learning_rate": 3.1508158696850275e-05,
1030
+ "loss": 0.5371,
1031
+ "step": 146
1032
+ },
1033
+ {
1034
+ "epoch": 1.878594249201278,
1035
+ "grad_norm": 0.7415779882754461,
1036
+ "learning_rate": 3.136129493462312e-05,
1037
+ "loss": 0.5459,
1038
+ "step": 147
1039
+ },
1040
+ {
1041
+ "epoch": 1.891373801916933,
1042
+ "grad_norm": 0.5590435801827939,
1043
+ "learning_rate": 3.121352102768998e-05,
1044
+ "loss": 0.5629,
1045
+ "step": 148
1046
+ },
1047
+ {
1048
+ "epoch": 1.9041533546325877,
1049
+ "grad_norm": 0.6262150274271875,
1050
+ "learning_rate": 3.106484881410628e-05,
1051
+ "loss": 0.5475,
1052
+ "step": 149
1053
+ },
1054
+ {
1055
+ "epoch": 1.9169329073482428,
1056
+ "grad_norm": 0.7182303942682138,
1057
+ "learning_rate": 3.091529020389009e-05,
1058
+ "loss": 0.5446,
1059
+ "step": 150
1060
+ },
1061
+ {
1062
+ "epoch": 1.9297124600638977,
1063
+ "grad_norm": 0.4340720332975557,
1064
+ "learning_rate": 3.076485717806808e-05,
1065
+ "loss": 0.5435,
1066
+ "step": 151
1067
+ },
1068
+ {
1069
+ "epoch": 1.9424920127795526,
1070
+ "grad_norm": 0.572990989223066,
1071
+ "learning_rate": 3.061356178771564e-05,
1072
+ "loss": 0.5419,
1073
+ "step": 152
1074
+ },
1075
+ {
1076
+ "epoch": 1.9552715654952078,
1077
+ "grad_norm": 0.5761722054308671,
1078
+ "learning_rate": 3.0461416152991555e-05,
1079
+ "loss": 0.545,
1080
+ "step": 153
1081
+ },
1082
+ {
1083
+ "epoch": 1.9680511182108626,
1084
+ "grad_norm": 0.47715951155810205,
1085
+ "learning_rate": 3.0308432462167045e-05,
1086
+ "loss": 0.5408,
1087
+ "step": 154
1088
+ },
1089
+ {
1090
+ "epoch": 1.9808306709265175,
1091
+ "grad_norm": 0.44500377408250574,
1092
+ "learning_rate": 3.015462297064936e-05,
1093
+ "loss": 0.5281,
1094
+ "step": 155
1095
+ },
1096
+ {
1097
+ "epoch": 1.9936102236421727,
1098
+ "grad_norm": 0.5298218047198479,
1099
+ "learning_rate": 3.0000000000000004e-05,
1100
+ "loss": 0.5289,
1101
+ "step": 156
1102
+ },
1103
+ {
1104
+ "epoch": 2.0063897763578273,
1105
+ "grad_norm": 0.486757795281033,
1106
+ "learning_rate": 2.98445759369477e-05,
1107
+ "loss": 0.5006,
1108
+ "step": 157
1109
+ },
1110
+ {
1111
+ "epoch": 2.0191693290734825,
1112
+ "grad_norm": 0.46748405855369674,
1113
+ "learning_rate": 2.9688363232396056e-05,
1114
+ "loss": 0.4602,
1115
+ "step": 158
1116
+ },
1117
+ {
1118
+ "epoch": 2.0319488817891376,
1119
+ "grad_norm": 0.9032320953813431,
1120
+ "learning_rate": 2.9531374400426158e-05,
1121
+ "loss": 0.4938,
1122
+ "step": 159
1123
+ },
1124
+ {
1125
+ "epoch": 2.0447284345047922,
1126
+ "grad_norm": 0.7141637648465875,
1127
+ "learning_rate": 2.9373622017294075e-05,
1128
+ "loss": 0.4683,
1129
+ "step": 160
1130
+ },
1131
+ {
1132
+ "epoch": 2.0575079872204474,
1133
+ "grad_norm": 0.6638457299888288,
1134
+ "learning_rate": 2.9215118720423375e-05,
1135
+ "loss": 0.4655,
1136
+ "step": 161
1137
+ },
1138
+ {
1139
+ "epoch": 2.070287539936102,
1140
+ "grad_norm": 0.5740802765073745,
1141
+ "learning_rate": 2.9055877207392752e-05,
1142
+ "loss": 0.4664,
1143
+ "step": 162
1144
+ },
1145
+ {
1146
+ "epoch": 2.083067092651757,
1147
+ "grad_norm": 0.541980004503229,
1148
+ "learning_rate": 2.8895910234918828e-05,
1149
+ "loss": 0.4594,
1150
+ "step": 163
1151
+ },
1152
+ {
1153
+ "epoch": 2.0958466453674123,
1154
+ "grad_norm": 0.7230973797959268,
1155
+ "learning_rate": 2.873523061783426e-05,
1156
+ "loss": 0.4535,
1157
+ "step": 164
1158
+ },
1159
+ {
1160
+ "epoch": 2.108626198083067,
1161
+ "grad_norm": 0.5775309097959617,
1162
+ "learning_rate": 2.8573851228061084e-05,
1163
+ "loss": 0.4469,
1164
+ "step": 165
1165
+ },
1166
+ {
1167
+ "epoch": 2.121405750798722,
1168
+ "grad_norm": 0.7114460224550682,
1169
+ "learning_rate": 2.8411784993579633e-05,
1170
+ "loss": 0.4453,
1171
+ "step": 166
1172
+ },
1173
+ {
1174
+ "epoch": 2.134185303514377,
1175
+ "grad_norm": 0.5544199950880329,
1176
+ "learning_rate": 2.8249044897392814e-05,
1177
+ "loss": 0.4447,
1178
+ "step": 167
1179
+ },
1180
+ {
1181
+ "epoch": 2.146964856230032,
1182
+ "grad_norm": 0.7751203169810186,
1183
+ "learning_rate": 2.80856439764861e-05,
1184
+ "loss": 0.4627,
1185
+ "step": 168
1186
+ },
1187
+ {
1188
+ "epoch": 2.159744408945687,
1189
+ "grad_norm": 0.6633500729778636,
1190
+ "learning_rate": 2.792159532078314e-05,
1191
+ "loss": 0.4621,
1192
+ "step": 169
1193
+ },
1194
+ {
1195
+ "epoch": 2.1725239616613417,
1196
+ "grad_norm": 0.5933550753958191,
1197
+ "learning_rate": 2.77569120720971e-05,
1198
+ "loss": 0.4568,
1199
+ "step": 170
1200
+ },
1201
+ {
1202
+ "epoch": 2.1853035143769968,
1203
+ "grad_norm": 0.7185282353498863,
1204
+ "learning_rate": 2.7591607423077932e-05,
1205
+ "loss": 0.4669,
1206
+ "step": 171
1207
+ },
1208
+ {
1209
+ "epoch": 2.198083067092652,
1210
+ "grad_norm": 0.4752269249605016,
1211
+ "learning_rate": 2.7425694616155474e-05,
1212
+ "loss": 0.4418,
1213
+ "step": 172
1214
+ },
1215
+ {
1216
+ "epoch": 2.2108626198083066,
1217
+ "grad_norm": 0.5405713655934162,
1218
+ "learning_rate": 2.7259186942478656e-05,
1219
+ "loss": 0.4496,
1220
+ "step": 173
1221
+ },
1222
+ {
1223
+ "epoch": 2.2236421725239617,
1224
+ "grad_norm": 0.5215249693639501,
1225
+ "learning_rate": 2.7092097740850712e-05,
1226
+ "loss": 0.4599,
1227
+ "step": 174
1228
+ },
1229
+ {
1230
+ "epoch": 2.236421725239617,
1231
+ "grad_norm": 0.42509149953729447,
1232
+ "learning_rate": 2.692444039666066e-05,
1233
+ "loss": 0.4538,
1234
+ "step": 175
1235
+ },
1236
+ {
1237
+ "epoch": 2.2492012779552715,
1238
+ "grad_norm": 0.443104585356185,
1239
+ "learning_rate": 2.6756228340810946e-05,
1240
+ "loss": 0.4423,
1241
+ "step": 176
1242
+ },
1243
+ {
1244
+ "epoch": 2.2619808306709266,
1245
+ "grad_norm": 0.4244498485086766,
1246
+ "learning_rate": 2.6587475048641596e-05,
1247
+ "loss": 0.4581,
1248
+ "step": 177
1249
+ },
1250
+ {
1251
+ "epoch": 2.2747603833865817,
1252
+ "grad_norm": 0.4427678121202283,
1253
+ "learning_rate": 2.6418194038850634e-05,
1254
+ "loss": 0.4622,
1255
+ "step": 178
1256
+ },
1257
+ {
1258
+ "epoch": 2.2875399361022364,
1259
+ "grad_norm": 0.44158722004763423,
1260
+ "learning_rate": 2.624839887241115e-05,
1261
+ "loss": 0.4666,
1262
+ "step": 179
1263
+ },
1264
+ {
1265
+ "epoch": 2.3003194888178915,
1266
+ "grad_norm": 0.4314748854864371,
1267
+ "learning_rate": 2.607810315148494e-05,
1268
+ "loss": 0.4681,
1269
+ "step": 180
1270
+ },
1271
+ {
1272
+ "epoch": 2.313099041533546,
1273
+ "grad_norm": 0.41655120357135617,
1274
+ "learning_rate": 2.5907320518332827e-05,
1275
+ "loss": 0.4539,
1276
+ "step": 181
1277
+ },
1278
+ {
1279
+ "epoch": 2.3258785942492013,
1280
+ "grad_norm": 0.4203925750652448,
1281
+ "learning_rate": 2.5736064654221808e-05,
1282
+ "loss": 0.4427,
1283
+ "step": 182
1284
+ },
1285
+ {
1286
+ "epoch": 2.3386581469648564,
1287
+ "grad_norm": 0.3893882507171406,
1288
+ "learning_rate": 2.5564349278329056e-05,
1289
+ "loss": 0.4575,
1290
+ "step": 183
1291
+ },
1292
+ {
1293
+ "epoch": 2.351437699680511,
1294
+ "grad_norm": 0.39085497976651834,
1295
+ "learning_rate": 2.539218814664288e-05,
1296
+ "loss": 0.4463,
1297
+ "step": 184
1298
+ },
1299
+ {
1300
+ "epoch": 2.364217252396166,
1301
+ "grad_norm": 0.4703088592774784,
1302
+ "learning_rate": 2.521959505086075e-05,
1303
+ "loss": 0.4521,
1304
+ "step": 185
1305
+ },
1306
+ {
1307
+ "epoch": 2.376996805111821,
1308
+ "grad_norm": 0.48500913272959334,
1309
+ "learning_rate": 2.5046583817284437e-05,
1310
+ "loss": 0.4608,
1311
+ "step": 186
1312
+ },
1313
+ {
1314
+ "epoch": 2.389776357827476,
1315
+ "grad_norm": 0.43887176139587314,
1316
+ "learning_rate": 2.487316830571244e-05,
1317
+ "loss": 0.4835,
1318
+ "step": 187
1319
+ },
1320
+ {
1321
+ "epoch": 2.402555910543131,
1322
+ "grad_norm": 0.464584961974617,
1323
+ "learning_rate": 2.4699362408329646e-05,
1324
+ "loss": 0.4604,
1325
+ "step": 188
1326
+ },
1327
+ {
1328
+ "epoch": 2.415335463258786,
1329
+ "grad_norm": 0.4154167662123907,
1330
+ "learning_rate": 2.4525180048594452e-05,
1331
+ "loss": 0.4446,
1332
+ "step": 189
1333
+ },
1334
+ {
1335
+ "epoch": 2.428115015974441,
1336
+ "grad_norm": 0.46994597432826285,
1337
+ "learning_rate": 2.435063518012335e-05,
1338
+ "loss": 0.4723,
1339
+ "step": 190
1340
+ },
1341
+ {
1342
+ "epoch": 2.440894568690096,
1343
+ "grad_norm": 0.39642847919224067,
1344
+ "learning_rate": 2.4175741785573177e-05,
1345
+ "loss": 0.4441,
1346
+ "step": 191
1347
+ },
1348
+ {
1349
+ "epoch": 2.4536741214057507,
1350
+ "grad_norm": 0.42331312684198885,
1351
+ "learning_rate": 2.4000513875520892e-05,
1352
+ "loss": 0.4751,
1353
+ "step": 192
1354
+ },
1355
+ {
1356
+ "epoch": 2.466453674121406,
1357
+ "grad_norm": 0.42637579603720094,
1358
+ "learning_rate": 2.3824965487341247e-05,
1359
+ "loss": 0.4503,
1360
+ "step": 193
1361
+ },
1362
+ {
1363
+ "epoch": 2.479233226837061,
1364
+ "grad_norm": 0.4176770140541874,
1365
+ "learning_rate": 2.3649110684082258e-05,
1366
+ "loss": 0.4614,
1367
+ "step": 194
1368
+ },
1369
+ {
1370
+ "epoch": 2.4920127795527156,
1371
+ "grad_norm": 0.4383167963140633,
1372
+ "learning_rate": 2.3472963553338614e-05,
1373
+ "loss": 0.4475,
1374
+ "step": 195
1375
+ },
1376
+ {
1377
+ "epoch": 2.5047923322683707,
1378
+ "grad_norm": 0.3533765206549483,
1379
+ "learning_rate": 2.3296538206123134e-05,
1380
+ "loss": 0.4717,
1381
+ "step": 196
1382
+ },
1383
+ {
1384
+ "epoch": 2.5175718849840254,
1385
+ "grad_norm": 0.4802148000025239,
1386
+ "learning_rate": 2.311984877573636e-05,
1387
+ "loss": 0.4587,
1388
+ "step": 197
1389
+ },
1390
+ {
1391
+ "epoch": 2.5303514376996805,
1392
+ "grad_norm": 0.4884867524733879,
1393
+ "learning_rate": 2.2942909416634326e-05,
1394
+ "loss": 0.471,
1395
+ "step": 198
1396
+ },
1397
+ {
1398
+ "epoch": 2.543130990415335,
1399
+ "grad_norm": 0.38302934162963237,
1400
+ "learning_rate": 2.2765734303294666e-05,
1401
+ "loss": 0.4663,
1402
+ "step": 199
1403
+ },
1404
+ {
1405
+ "epoch": 2.5559105431309903,
1406
+ "grad_norm": 0.4919891722403176,
1407
+ "learning_rate": 2.2588337629081107e-05,
1408
+ "loss": 0.4624,
1409
+ "step": 200
1410
+ },
1411
+ {
1412
+ "epoch": 2.5686900958466454,
1413
+ "grad_norm": 0.42439763122441787,
1414
+ "learning_rate": 2.2410733605106462e-05,
1415
+ "loss": 0.4733,
1416
+ "step": 201
1417
+ },
1418
+ {
1419
+ "epoch": 2.5814696485623,
1420
+ "grad_norm": 0.455600248616356,
1421
+ "learning_rate": 2.2232936459094158e-05,
1422
+ "loss": 0.4719,
1423
+ "step": 202
1424
+ },
1425
+ {
1426
+ "epoch": 2.594249201277955,
1427
+ "grad_norm": 0.37772141842234497,
1428
+ "learning_rate": 2.205496043423849e-05,
1429
+ "loss": 0.4643,
1430
+ "step": 203
1431
+ },
1432
+ {
1433
+ "epoch": 2.6070287539936103,
1434
+ "grad_norm": 0.39487928087355095,
1435
+ "learning_rate": 2.1876819788063586e-05,
1436
+ "loss": 0.4599,
1437
+ "step": 204
1438
+ },
1439
+ {
1440
+ "epoch": 2.619808306709265,
1441
+ "grad_norm": 0.37752084464288793,
1442
+ "learning_rate": 2.16985287912813e-05,
1443
+ "loss": 0.4611,
1444
+ "step": 205
1445
+ },
1446
+ {
1447
+ "epoch": 2.63258785942492,
1448
+ "grad_norm": 0.41690300860275786,
1449
+ "learning_rate": 2.1520101726647922e-05,
1450
+ "loss": 0.4656,
1451
+ "step": 206
1452
+ },
1453
+ {
1454
+ "epoch": 2.6453674121405752,
1455
+ "grad_norm": 0.35278905850290787,
1456
+ "learning_rate": 2.1341552887820048e-05,
1457
+ "loss": 0.4509,
1458
+ "step": 207
1459
+ },
1460
+ {
1461
+ "epoch": 2.65814696485623,
1462
+ "grad_norm": 0.3952082192254116,
1463
+ "learning_rate": 2.1162896578209517e-05,
1464
+ "loss": 0.4552,
1465
+ "step": 208
1466
+ },
1467
+ {
1468
+ "epoch": 2.670926517571885,
1469
+ "grad_norm": 0.37698129545807996,
1470
+ "learning_rate": 2.0984147109837564e-05,
1471
+ "loss": 0.4587,
1472
+ "step": 209
1473
+ },
1474
+ {
1475
+ "epoch": 2.68370607028754,
1476
+ "grad_norm": 0.3385957900251669,
1477
+ "learning_rate": 2.0805318802188307e-05,
1478
+ "loss": 0.4708,
1479
+ "step": 210
1480
+ },
1481
+ {
1482
+ "epoch": 2.696485623003195,
1483
+ "grad_norm": 0.3715034095313426,
1484
+ "learning_rate": 2.0626425981061608e-05,
1485
+ "loss": 0.4494,
1486
+ "step": 211
1487
+ },
1488
+ {
1489
+ "epoch": 2.70926517571885,
1490
+ "grad_norm": 0.3251290710767365,
1491
+ "learning_rate": 2.0447482977425465e-05,
1492
+ "loss": 0.4563,
1493
+ "step": 212
1494
+ },
1495
+ {
1496
+ "epoch": 2.722044728434505,
1497
+ "grad_norm": 0.37877042575127295,
1498
+ "learning_rate": 2.0268504126267952e-05,
1499
+ "loss": 0.4495,
1500
+ "step": 213
1501
+ },
1502
+ {
1503
+ "epoch": 2.7348242811501597,
1504
+ "grad_norm": 0.3513613274662141,
1505
+ "learning_rate": 2.008950376544887e-05,
1506
+ "loss": 0.4681,
1507
+ "step": 214
1508
+ },
1509
+ {
1510
+ "epoch": 2.747603833865815,
1511
+ "grad_norm": 0.3673333816439615,
1512
+ "learning_rate": 1.9910496234551132e-05,
1513
+ "loss": 0.4579,
1514
+ "step": 215
1515
+ },
1516
+ {
1517
+ "epoch": 2.7603833865814695,
1518
+ "grad_norm": 0.4002781230499196,
1519
+ "learning_rate": 1.9731495873732055e-05,
1520
+ "loss": 0.4631,
1521
+ "step": 216
1522
+ },
1523
+ {
1524
+ "epoch": 2.7731629392971247,
1525
+ "grad_norm": 0.4144225996048057,
1526
+ "learning_rate": 1.9552517022574542e-05,
1527
+ "loss": 0.4588,
1528
+ "step": 217
1529
+ },
1530
+ {
1531
+ "epoch": 2.7859424920127793,
1532
+ "grad_norm": 0.38483992779543585,
1533
+ "learning_rate": 1.93735740189384e-05,
1534
+ "loss": 0.4554,
1535
+ "step": 218
1536
+ },
1537
+ {
1538
+ "epoch": 2.7987220447284344,
1539
+ "grad_norm": 0.39775925575971094,
1540
+ "learning_rate": 1.9194681197811703e-05,
1541
+ "loss": 0.4379,
1542
+ "step": 219
1543
+ },
1544
+ {
1545
+ "epoch": 2.8115015974440896,
1546
+ "grad_norm": 0.38104448687547743,
1547
+ "learning_rate": 1.901585289016244e-05,
1548
+ "loss": 0.4536,
1549
+ "step": 220
1550
+ },
1551
+ {
1552
+ "epoch": 2.8242811501597442,
1553
+ "grad_norm": 0.37218167438181177,
1554
+ "learning_rate": 1.8837103421790486e-05,
1555
+ "loss": 0.4546,
1556
+ "step": 221
1557
+ },
1558
+ {
1559
+ "epoch": 2.8370607028753994,
1560
+ "grad_norm": 0.3238264848569907,
1561
+ "learning_rate": 1.8658447112179952e-05,
1562
+ "loss": 0.4971,
1563
+ "step": 222
1564
+ },
1565
+ {
1566
+ "epoch": 2.8498402555910545,
1567
+ "grad_norm": 0.3669356917599918,
1568
+ "learning_rate": 1.8479898273352084e-05,
1569
+ "loss": 0.4636,
1570
+ "step": 223
1571
+ },
1572
+ {
1573
+ "epoch": 2.862619808306709,
1574
+ "grad_norm": 0.34897969771117815,
1575
+ "learning_rate": 1.83014712087187e-05,
1576
+ "loss": 0.4454,
1577
+ "step": 224
1578
+ },
1579
+ {
1580
+ "epoch": 2.8753993610223643,
1581
+ "grad_norm": 0.3531428513148952,
1582
+ "learning_rate": 1.8123180211936417e-05,
1583
+ "loss": 0.4321,
1584
+ "step": 225
1585
+ },
1586
+ {
1587
+ "epoch": 2.8881789137380194,
1588
+ "grad_norm": 0.3155910003073882,
1589
+ "learning_rate": 1.794503956576152e-05,
1590
+ "loss": 0.4737,
1591
+ "step": 226
1592
+ },
1593
+ {
1594
+ "epoch": 2.900958466453674,
1595
+ "grad_norm": 0.3514454764533909,
1596
+ "learning_rate": 1.776706354090585e-05,
1597
+ "loss": 0.4699,
1598
+ "step": 227
1599
+ },
1600
+ {
1601
+ "epoch": 2.913738019169329,
1602
+ "grad_norm": 0.32261320466049764,
1603
+ "learning_rate": 1.758926639489354e-05,
1604
+ "loss": 0.449,
1605
+ "step": 228
1606
+ },
1607
+ {
1608
+ "epoch": 2.9265175718849843,
1609
+ "grad_norm": 0.31699325291611036,
1610
+ "learning_rate": 1.7411662370918893e-05,
1611
+ "loss": 0.441,
1612
+ "step": 229
1613
+ },
1614
+ {
1615
+ "epoch": 2.939297124600639,
1616
+ "grad_norm": 0.3465501067615838,
1617
+ "learning_rate": 1.7234265696705344e-05,
1618
+ "loss": 0.4747,
1619
+ "step": 230
1620
+ },
1621
+ {
1622
+ "epoch": 2.952076677316294,
1623
+ "grad_norm": 0.3390277128709767,
1624
+ "learning_rate": 1.7057090583365678e-05,
1625
+ "loss": 0.4598,
1626
+ "step": 231
1627
+ },
1628
+ {
1629
+ "epoch": 2.9648562300319488,
1630
+ "grad_norm": 0.36925982516132494,
1631
+ "learning_rate": 1.6880151224263646e-05,
1632
+ "loss": 0.4641,
1633
+ "step": 232
1634
+ },
1635
+ {
1636
+ "epoch": 2.977635782747604,
1637
+ "grad_norm": 0.32500966228489814,
1638
+ "learning_rate": 1.6703461793876876e-05,
1639
+ "loss": 0.4586,
1640
+ "step": 233
1641
+ },
1642
+ {
1643
+ "epoch": 2.9904153354632586,
1644
+ "grad_norm": 0.34908654244155446,
1645
+ "learning_rate": 1.6527036446661396e-05,
1646
+ "loss": 0.4662,
1647
+ "step": 234
1648
+ },
1649
+ {
1650
+ "epoch": 3.012779552715655,
1651
+ "grad_norm": 0.5128836169014913,
1652
+ "learning_rate": 1.635088931591775e-05,
1653
+ "loss": 0.3811,
1654
+ "step": 235
1655
+ },
1656
+ {
1657
+ "epoch": 3.02555910543131,
1658
+ "grad_norm": 0.3546127617977104,
1659
+ "learning_rate": 1.6175034512658753e-05,
1660
+ "loss": 0.3924,
1661
+ "step": 236
1662
+ },
1663
+ {
1664
+ "epoch": 3.038338658146965,
1665
+ "grad_norm": 0.6442307260367379,
1666
+ "learning_rate": 1.5999486124479115e-05,
1667
+ "loss": 0.393,
1668
+ "step": 237
1669
+ },
1670
+ {
1671
+ "epoch": 3.0511182108626196,
1672
+ "grad_norm": 0.5003594645494083,
1673
+ "learning_rate": 1.5824258214426833e-05,
1674
+ "loss": 0.3805,
1675
+ "step": 238
1676
+ },
1677
+ {
1678
+ "epoch": 3.0638977635782747,
1679
+ "grad_norm": 0.4609554964301076,
1680
+ "learning_rate": 1.5649364819876655e-05,
1681
+ "loss": 0.4057,
1682
+ "step": 239
1683
+ },
1684
+ {
1685
+ "epoch": 3.07667731629393,
1686
+ "grad_norm": 0.4976572991284983,
1687
+ "learning_rate": 1.547481995140556e-05,
1688
+ "loss": 0.3879,
1689
+ "step": 240
1690
+ },
1691
+ {
1692
+ "epoch": 3.0894568690095845,
1693
+ "grad_norm": 0.38362452674206254,
1694
+ "learning_rate": 1.5300637591670357e-05,
1695
+ "loss": 0.3733,
1696
+ "step": 241
1697
+ },
1698
+ {
1699
+ "epoch": 3.1022364217252396,
1700
+ "grad_norm": 0.45482995584383695,
1701
+ "learning_rate": 1.5126831694287564e-05,
1702
+ "loss": 0.3696,
1703
+ "step": 242
1704
+ },
1705
+ {
1706
+ "epoch": 3.1150159744408947,
1707
+ "grad_norm": 0.44666813959914614,
1708
+ "learning_rate": 1.4953416182715566e-05,
1709
+ "loss": 0.3736,
1710
+ "step": 243
1711
+ },
1712
+ {
1713
+ "epoch": 3.1277955271565494,
1714
+ "grad_norm": 0.4292571016117774,
1715
+ "learning_rate": 1.478040494913926e-05,
1716
+ "loss": 0.3827,
1717
+ "step": 244
1718
+ },
1719
+ {
1720
+ "epoch": 3.1405750798722045,
1721
+ "grad_norm": 0.46347737412533785,
1722
+ "learning_rate": 1.460781185335713e-05,
1723
+ "loss": 0.3923,
1724
+ "step": 245
1725
+ },
1726
+ {
1727
+ "epoch": 3.1533546325878596,
1728
+ "grad_norm": 0.4775852522273919,
1729
+ "learning_rate": 1.443565072167095e-05,
1730
+ "loss": 0.4088,
1731
+ "step": 246
1732
+ },
1733
+ {
1734
+ "epoch": 3.1661341853035143,
1735
+ "grad_norm": 0.41083533606012235,
1736
+ "learning_rate": 1.4263935345778202e-05,
1737
+ "loss": 0.3801,
1738
+ "step": 247
1739
+ },
1740
+ {
1741
+ "epoch": 3.1789137380191694,
1742
+ "grad_norm": 0.4484362081329354,
1743
+ "learning_rate": 1.409267948166718e-05,
1744
+ "loss": 0.376,
1745
+ "step": 248
1746
+ },
1747
+ {
1748
+ "epoch": 3.191693290734824,
1749
+ "grad_norm": 0.3906442765094229,
1750
+ "learning_rate": 1.3921896848515064e-05,
1751
+ "loss": 0.3815,
1752
+ "step": 249
1753
+ },
1754
+ {
1755
+ "epoch": 3.2044728434504792,
1756
+ "grad_norm": 0.3700225581587479,
1757
+ "learning_rate": 1.3751601127588849e-05,
1758
+ "loss": 0.3826,
1759
+ "step": 250
1760
+ },
1761
+ {
1762
+ "epoch": 3.2172523961661343,
1763
+ "grad_norm": 0.38606672559398486,
1764
+ "learning_rate": 1.3581805961149371e-05,
1765
+ "loss": 0.3779,
1766
+ "step": 251
1767
+ },
1768
+ {
1769
+ "epoch": 3.230031948881789,
1770
+ "grad_norm": 0.3643687933394165,
1771
+ "learning_rate": 1.341252495135841e-05,
1772
+ "loss": 0.3734,
1773
+ "step": 252
1774
+ },
1775
+ {
1776
+ "epoch": 3.242811501597444,
1777
+ "grad_norm": 0.3859244143097149,
1778
+ "learning_rate": 1.324377165918906e-05,
1779
+ "loss": 0.3828,
1780
+ "step": 253
1781
+ },
1782
+ {
1783
+ "epoch": 3.255591054313099,
1784
+ "grad_norm": 0.387692164875178,
1785
+ "learning_rate": 1.3075559603339354e-05,
1786
+ "loss": 0.3811,
1787
+ "step": 254
1788
+ },
1789
+ {
1790
+ "epoch": 3.268370607028754,
1791
+ "grad_norm": 0.35085934782850087,
1792
+ "learning_rate": 1.2907902259149287e-05,
1793
+ "loss": 0.3861,
1794
+ "step": 255
1795
+ },
1796
+ {
1797
+ "epoch": 3.281150159744409,
1798
+ "grad_norm": 0.4166197346329323,
1799
+ "learning_rate": 1.274081305752135e-05,
1800
+ "loss": 0.3934,
1801
+ "step": 256
1802
+ },
1803
+ {
1804
+ "epoch": 3.2939297124600637,
1805
+ "grad_norm": 0.3418519825744561,
1806
+ "learning_rate": 1.2574305383844528e-05,
1807
+ "loss": 0.3877,
1808
+ "step": 257
1809
+ },
1810
+ {
1811
+ "epoch": 3.306709265175719,
1812
+ "grad_norm": 0.36354782411908043,
1813
+ "learning_rate": 1.2408392576922075e-05,
1814
+ "loss": 0.3849,
1815
+ "step": 258
1816
+ },
1817
+ {
1818
+ "epoch": 3.319488817891374,
1819
+ "grad_norm": 0.37242419363296814,
1820
+ "learning_rate": 1.2243087927902905e-05,
1821
+ "loss": 0.3937,
1822
+ "step": 259
1823
+ },
1824
+ {
1825
+ "epoch": 3.3322683706070286,
1826
+ "grad_norm": 0.40415705465213253,
1827
+ "learning_rate": 1.2078404679216864e-05,
1828
+ "loss": 0.3826,
1829
+ "step": 260
1830
+ },
1831
+ {
1832
+ "epoch": 3.3450479233226837,
1833
+ "grad_norm": 0.3178335493857135,
1834
+ "learning_rate": 1.1914356023513904e-05,
1835
+ "loss": 0.3834,
1836
+ "step": 261
1837
+ },
1838
+ {
1839
+ "epoch": 3.357827476038339,
1840
+ "grad_norm": 0.3648587053326533,
1841
+ "learning_rate": 1.1750955102607193e-05,
1842
+ "loss": 0.3699,
1843
+ "step": 262
1844
+ },
1845
+ {
1846
+ "epoch": 3.3706070287539935,
1847
+ "grad_norm": 0.32908420449476,
1848
+ "learning_rate": 1.1588215006420374e-05,
1849
+ "loss": 0.406,
1850
+ "step": 263
1851
+ },
1852
+ {
1853
+ "epoch": 3.3833865814696487,
1854
+ "grad_norm": 0.3230655828560371,
1855
+ "learning_rate": 1.1426148771938915e-05,
1856
+ "loss": 0.4007,
1857
+ "step": 264
1858
+ },
1859
+ {
1860
+ "epoch": 3.3961661341853033,
1861
+ "grad_norm": 0.364247334085622,
1862
+ "learning_rate": 1.1264769382165748e-05,
1863
+ "loss": 0.3912,
1864
+ "step": 265
1865
+ },
1866
+ {
1867
+ "epoch": 3.4089456869009584,
1868
+ "grad_norm": 0.34854917848030975,
1869
+ "learning_rate": 1.110408976508118e-05,
1870
+ "loss": 0.3981,
1871
+ "step": 266
1872
+ },
1873
+ {
1874
+ "epoch": 3.4217252396166136,
1875
+ "grad_norm": 0.32853287611588194,
1876
+ "learning_rate": 1.094412279260726e-05,
1877
+ "loss": 0.3846,
1878
+ "step": 267
1879
+ },
1880
+ {
1881
+ "epoch": 3.4345047923322682,
1882
+ "grad_norm": 0.3407376822824476,
1883
+ "learning_rate": 1.0784881279576635e-05,
1884
+ "loss": 0.3877,
1885
+ "step": 268
1886
+ },
1887
+ {
1888
+ "epoch": 3.4472843450479234,
1889
+ "grad_norm": 0.3161855560360877,
1890
+ "learning_rate": 1.0626377982705929e-05,
1891
+ "loss": 0.3635,
1892
+ "step": 269
1893
+ },
1894
+ {
1895
+ "epoch": 3.460063897763578,
1896
+ "grad_norm": 0.29388908626785254,
1897
+ "learning_rate": 1.0468625599573842e-05,
1898
+ "loss": 0.3946,
1899
+ "step": 270
1900
+ },
1901
+ {
1902
+ "epoch": 3.472843450479233,
1903
+ "grad_norm": 0.31849610999090494,
1904
+ "learning_rate": 1.0311636767603952e-05,
1905
+ "loss": 0.3731,
1906
+ "step": 271
1907
+ },
1908
+ {
1909
+ "epoch": 3.4856230031948883,
1910
+ "grad_norm": 0.3208723917598162,
1911
+ "learning_rate": 1.0155424063052306e-05,
1912
+ "loss": 0.3673,
1913
+ "step": 272
1914
+ },
1915
+ {
1916
+ "epoch": 3.498402555910543,
1917
+ "grad_norm": 0.29245116811873584,
1918
+ "learning_rate": 1.0000000000000006e-05,
1919
+ "loss": 0.3796,
1920
+ "step": 273
1921
+ },
1922
+ {
1923
+ "epoch": 3.511182108626198,
1924
+ "grad_norm": 0.33746616232506677,
1925
+ "learning_rate": 9.84537702935065e-06,
1926
+ "loss": 0.386,
1927
+ "step": 274
1928
+ },
1929
+ {
1930
+ "epoch": 3.523961661341853,
1931
+ "grad_norm": 0.29309254314881333,
1932
+ "learning_rate": 9.691567537832964e-06,
1933
+ "loss": 0.4085,
1934
+ "step": 275
1935
+ },
1936
+ {
1937
+ "epoch": 3.536741214057508,
1938
+ "grad_norm": 0.28232085496123377,
1939
+ "learning_rate": 9.538583847008452e-06,
1940
+ "loss": 0.3766,
1941
+ "step": 276
1942
+ },
1943
+ {
1944
+ "epoch": 3.549520766773163,
1945
+ "grad_norm": 0.30542807138023287,
1946
+ "learning_rate": 9.386438212284372e-06,
1947
+ "loss": 0.3713,
1948
+ "step": 277
1949
+ },
1950
+ {
1951
+ "epoch": 3.562300319488818,
1952
+ "grad_norm": 0.3001693318285487,
1953
+ "learning_rate": 9.235142821931928e-06,
1954
+ "loss": 0.3621,
1955
+ "step": 278
1956
+ },
1957
+ {
1958
+ "epoch": 3.5750798722044728,
1959
+ "grad_norm": 0.2706474019112891,
1960
+ "learning_rate": 9.084709796109907e-06,
1961
+ "loss": 0.4121,
1962
+ "step": 279
1963
+ },
1964
+ {
1965
+ "epoch": 3.587859424920128,
1966
+ "grad_norm": 0.2895527171945164,
1967
+ "learning_rate": 8.93515118589373e-06,
1968
+ "loss": 0.3948,
1969
+ "step": 280
1970
+ },
1971
+ {
1972
+ "epoch": 3.600638977635783,
1973
+ "grad_norm": 0.3117817510807347,
1974
+ "learning_rate": 8.786478972310023e-06,
1975
+ "loss": 0.401,
1976
+ "step": 281
1977
+ },
1978
+ {
1979
+ "epoch": 3.6134185303514377,
1980
+ "grad_norm": 0.26216491972350675,
1981
+ "learning_rate": 8.638705065376887e-06,
1982
+ "loss": 0.3952,
1983
+ "step": 282
1984
+ },
1985
+ {
1986
+ "epoch": 3.626198083067093,
1987
+ "grad_norm": 0.284049361201387,
1988
+ "learning_rate": 8.491841303149728e-06,
1989
+ "loss": 0.3943,
1990
+ "step": 283
1991
+ },
1992
+ {
1993
+ "epoch": 3.6389776357827475,
1994
+ "grad_norm": 0.2942161552846955,
1995
+ "learning_rate": 8.345899450772975e-06,
1996
+ "loss": 0.4198,
1997
+ "step": 284
1998
+ },
1999
+ {
2000
+ "epoch": 3.6517571884984026,
2001
+ "grad_norm": 0.2815277755618436,
2002
+ "learning_rate": 8.200891199537549e-06,
2003
+ "loss": 0.3775,
2004
+ "step": 285
2005
+ },
2006
+ {
2007
+ "epoch": 3.6645367412140573,
2008
+ "grad_norm": 0.27855689397961697,
2009
+ "learning_rate": 8.056828165944282e-06,
2010
+ "loss": 0.3701,
2011
+ "step": 286
2012
+ },
2013
+ {
2014
+ "epoch": 3.6773162939297124,
2015
+ "grad_norm": 0.29191871129995184,
2016
+ "learning_rate": 7.913721890773354e-06,
2017
+ "loss": 0.3736,
2018
+ "step": 287
2019
+ },
2020
+ {
2021
+ "epoch": 3.6900958466453675,
2022
+ "grad_norm": 0.26869731691732596,
2023
+ "learning_rate": 7.771583838159756e-06,
2024
+ "loss": 0.3831,
2025
+ "step": 288
2026
+ },
2027
+ {
2028
+ "epoch": 3.702875399361022,
2029
+ "grad_norm": 0.2671559120158343,
2030
+ "learning_rate": 7.630425394674903e-06,
2031
+ "loss": 0.366,
2032
+ "step": 289
2033
+ },
2034
+ {
2035
+ "epoch": 3.7156549520766773,
2036
+ "grad_norm": 0.29113928428290825,
2037
+ "learning_rate": 7.49025786841445e-06,
2038
+ "loss": 0.378,
2039
+ "step": 290
2040
+ },
2041
+ {
2042
+ "epoch": 3.7284345047923324,
2043
+ "grad_norm": 0.2994031778893088,
2044
+ "learning_rate": 7.3510924880924575e-06,
2045
+ "loss": 0.3774,
2046
+ "step": 291
2047
+ },
2048
+ {
2049
+ "epoch": 3.741214057507987,
2050
+ "grad_norm": 0.2738974817232764,
2051
+ "learning_rate": 7.212940402141808e-06,
2052
+ "loss": 0.3846,
2053
+ "step": 292
2054
+ },
2055
+ {
2056
+ "epoch": 3.753993610223642,
2057
+ "grad_norm": 0.2826921730840266,
2058
+ "learning_rate": 7.075812677821145e-06,
2059
+ "loss": 0.3727,
2060
+ "step": 293
2061
+ },
2062
+ {
2063
+ "epoch": 3.7667731629392973,
2064
+ "grad_norm": 0.26668241839234336,
2065
+ "learning_rate": 6.939720300328303e-06,
2066
+ "loss": 0.391,
2067
+ "step": 294
2068
+ },
2069
+ {
2070
+ "epoch": 3.779552715654952,
2071
+ "grad_norm": 0.2529079411168859,
2072
+ "learning_rate": 6.8046741719202385e-06,
2073
+ "loss": 0.3945,
2074
+ "step": 295
2075
+ },
2076
+ {
2077
+ "epoch": 3.792332268370607,
2078
+ "grad_norm": 0.26348898417120825,
2079
+ "learning_rate": 6.67068511103971e-06,
2080
+ "loss": 0.3764,
2081
+ "step": 296
2082
+ },
2083
+ {
2084
+ "epoch": 3.8051118210862622,
2085
+ "grad_norm": 0.2766036475667321,
2086
+ "learning_rate": 6.537763851448593e-06,
2087
+ "loss": 0.3857,
2088
+ "step": 297
2089
+ },
2090
+ {
2091
+ "epoch": 3.817891373801917,
2092
+ "grad_norm": 0.2682733264498869,
2093
+ "learning_rate": 6.4059210413680175e-06,
2094
+ "loss": 0.3873,
2095
+ "step": 298
2096
+ },
2097
+ {
2098
+ "epoch": 3.830670926517572,
2099
+ "grad_norm": 0.2742368830967292,
2100
+ "learning_rate": 6.275167242625331e-06,
2101
+ "loss": 0.3766,
2102
+ "step": 299
2103
+ },
2104
+ {
2105
+ "epoch": 3.8434504792332267,
2106
+ "grad_norm": 0.25114479786735716,
2107
+ "learning_rate": 6.145512929808013e-06,
2108
+ "loss": 0.3975,
2109
+ "step": 300
2110
+ },
2111
+ {
2112
+ "epoch": 3.856230031948882,
2113
+ "grad_norm": 0.2630221067698174,
2114
+ "learning_rate": 6.016968489424572e-06,
2115
+ "loss": 0.3816,
2116
+ "step": 301
2117
+ },
2118
+ {
2119
+ "epoch": 3.8690095846645365,
2120
+ "grad_norm": 0.2693660116982185,
2121
+ "learning_rate": 5.889544219072465e-06,
2122
+ "loss": 0.3916,
2123
+ "step": 302
2124
+ },
2125
+ {
2126
+ "epoch": 3.8817891373801916,
2127
+ "grad_norm": 0.26878930310587784,
2128
+ "learning_rate": 5.7632503266131925e-06,
2129
+ "loss": 0.3929,
2130
+ "step": 303
2131
+ },
2132
+ {
2133
+ "epoch": 3.8945686900958467,
2134
+ "grad_norm": 0.2576790616305518,
2135
+ "learning_rate": 5.638096929354522e-06,
2136
+ "loss": 0.3934,
2137
+ "step": 304
2138
+ },
2139
+ {
2140
+ "epoch": 3.9073482428115014,
2141
+ "grad_norm": 0.2551594985684908,
2142
+ "learning_rate": 5.514094053240035e-06,
2143
+ "loss": 0.3971,
2144
+ "step": 305
2145
+ },
2146
+ {
2147
+ "epoch": 3.9201277955271565,
2148
+ "grad_norm": 0.26282254693750906,
2149
+ "learning_rate": 5.39125163204594e-06,
2150
+ "loss": 0.3852,
2151
+ "step": 306
2152
+ },
2153
+ {
2154
+ "epoch": 3.9329073482428116,
2155
+ "grad_norm": 0.2729750102242486,
2156
+ "learning_rate": 5.269579506585259e-06,
2157
+ "loss": 0.3792,
2158
+ "step": 307
2159
+ },
2160
+ {
2161
+ "epoch": 3.9456869009584663,
2162
+ "grad_norm": 0.2746715339249571,
2163
+ "learning_rate": 5.149087423919541e-06,
2164
+ "loss": 0.3809,
2165
+ "step": 308
2166
+ },
2167
+ {
2168
+ "epoch": 3.9584664536741214,
2169
+ "grad_norm": 0.2589108681555479,
2170
+ "learning_rate": 5.029785036577976e-06,
2171
+ "loss": 0.38,
2172
+ "step": 309
2173
+ },
2174
+ {
2175
+ "epoch": 3.9712460063897765,
2176
+ "grad_norm": 0.2583977076620543,
2177
+ "learning_rate": 4.911681901784198e-06,
2178
+ "loss": 0.3823,
2179
+ "step": 310
2180
+ },
2181
+ {
2182
+ "epoch": 3.984025559105431,
2183
+ "grad_norm": 0.26533553439913465,
2184
+ "learning_rate": 4.794787480690597e-06,
2185
+ "loss": 0.4095,
2186
+ "step": 311
2187
+ },
2188
+ {
2189
+ "epoch": 3.9968051118210863,
2190
+ "grad_norm": 0.29179544366540294,
2191
+ "learning_rate": 4.679111137620442e-06,
2192
+ "loss": 0.3764,
2193
+ "step": 312
2194
+ },
2195
+ {
2196
+ "epoch": 4.0095846645367414,
2197
+ "grad_norm": 0.37070974270993895,
2198
+ "learning_rate": 4.5646621393177e-06,
2199
+ "loss": 0.3437,
2200
+ "step": 313
2201
+ },
2202
+ {
2203
+ "epoch": 4.022364217252396,
2204
+ "grad_norm": 0.3284947553106813,
2205
+ "learning_rate": 4.451449654204685e-06,
2206
+ "loss": 0.3662,
2207
+ "step": 314
2208
+ },
2209
+ {
2210
+ "epoch": 4.035143769968051,
2211
+ "grad_norm": 0.2843402603459979,
2212
+ "learning_rate": 4.339482751647557e-06,
2213
+ "loss": 0.3355,
2214
+ "step": 315
2215
+ },
2216
+ {
2217
+ "epoch": 4.047923322683706,
2218
+ "grad_norm": 0.33919450346249647,
2219
+ "learning_rate": 4.228770401229824e-06,
2220
+ "loss": 0.3394,
2221
+ "step": 316
2222
+ },
2223
+ {
2224
+ "epoch": 4.060702875399361,
2225
+ "grad_norm": 0.4472299669588526,
2226
+ "learning_rate": 4.119321472033779e-06,
2227
+ "loss": 0.3384,
2228
+ "step": 317
2229
+ },
2230
+ {
2231
+ "epoch": 4.073482428115016,
2232
+ "grad_norm": 0.3771224880409924,
2233
+ "learning_rate": 4.011144731929981e-06,
2234
+ "loss": 0.3434,
2235
+ "step": 318
2236
+ },
2237
+ {
2238
+ "epoch": 4.086261980830671,
2239
+ "grad_norm": 0.2916380797164523,
2240
+ "learning_rate": 3.904248846874894e-06,
2241
+ "loss": 0.32,
2242
+ "step": 319
2243
+ },
2244
+ {
2245
+ "epoch": 4.099041533546326,
2246
+ "grad_norm": 0.33504974166135404,
2247
+ "learning_rate": 3.7986423802166705e-06,
2248
+ "loss": 0.3235,
2249
+ "step": 320
2250
+ },
2251
+ {
2252
+ "epoch": 4.111821086261981,
2253
+ "grad_norm": 0.33212341390770345,
2254
+ "learning_rate": 3.694333792009115e-06,
2255
+ "loss": 0.3452,
2256
+ "step": 321
2257
+ },
2258
+ {
2259
+ "epoch": 4.124600638977636,
2260
+ "grad_norm": 0.31976825359898686,
2261
+ "learning_rate": 3.5913314383339937e-06,
2262
+ "loss": 0.3473,
2263
+ "step": 322
2264
+ },
2265
+ {
2266
+ "epoch": 4.137380191693291,
2267
+ "grad_norm": 0.28590474501240015,
2268
+ "learning_rate": 3.4896435706316e-06,
2269
+ "loss": 0.319,
2270
+ "step": 323
2271
+ },
2272
+ {
2273
+ "epoch": 4.1501597444089455,
2274
+ "grad_norm": 0.286464326555546,
2275
+ "learning_rate": 3.3892783350397675e-06,
2276
+ "loss": 0.3473,
2277
+ "step": 324
2278
+ },
2279
+ {
2280
+ "epoch": 4.1629392971246,
2281
+ "grad_norm": 0.3082641016025165,
2282
+ "learning_rate": 3.290243771741275e-06,
2283
+ "loss": 0.3522,
2284
+ "step": 325
2285
+ },
2286
+ {
2287
+ "epoch": 4.175718849840256,
2288
+ "grad_norm": 0.30101579695268377,
2289
+ "learning_rate": 3.1925478143197418e-06,
2290
+ "loss": 0.3364,
2291
+ "step": 326
2292
+ },
2293
+ {
2294
+ "epoch": 4.18849840255591,
2295
+ "grad_norm": 0.30620894785433056,
2296
+ "learning_rate": 3.0961982891241083e-06,
2297
+ "loss": 0.3383,
2298
+ "step": 327
2299
+ },
2300
+ {
2301
+ "epoch": 4.201277955271565,
2302
+ "grad_norm": 0.26164000104597274,
2303
+ "learning_rate": 3.001202914641628e-06,
2304
+ "loss": 0.3387,
2305
+ "step": 328
2306
+ },
2307
+ {
2308
+ "epoch": 4.214057507987221,
2309
+ "grad_norm": 0.27396421835749335,
2310
+ "learning_rate": 2.907569300879596e-06,
2311
+ "loss": 0.3359,
2312
+ "step": 329
2313
+ },
2314
+ {
2315
+ "epoch": 4.226837060702875,
2316
+ "grad_norm": 0.273485919076872,
2317
+ "learning_rate": 2.815304948755664e-06,
2318
+ "loss": 0.3116,
2319
+ "step": 330
2320
+ },
2321
+ {
2322
+ "epoch": 4.23961661341853,
2323
+ "grad_norm": 0.2569560566217525,
2324
+ "learning_rate": 2.7244172494969978e-06,
2325
+ "loss": 0.3369,
2326
+ "step": 331
2327
+ },
2328
+ {
2329
+ "epoch": 4.252396166134186,
2330
+ "grad_norm": 0.24962527429270018,
2331
+ "learning_rate": 2.6349134840481294e-06,
2332
+ "loss": 0.3716,
2333
+ "step": 332
2334
+ },
2335
+ {
2336
+ "epoch": 4.26517571884984,
2337
+ "grad_norm": 0.24800106442570202,
2338
+ "learning_rate": 2.546800822487714e-06,
2339
+ "loss": 0.3573,
2340
+ "step": 333
2341
+ },
2342
+ {
2343
+ "epoch": 4.277955271565495,
2344
+ "grad_norm": 0.25821807561951066,
2345
+ "learning_rate": 2.4600863234541338e-06,
2346
+ "loss": 0.3409,
2347
+ "step": 334
2348
+ },
2349
+ {
2350
+ "epoch": 4.2907348242811505,
2351
+ "grad_norm": 0.25158547315449414,
2352
+ "learning_rate": 2.374776933580025e-06,
2353
+ "loss": 0.3146,
2354
+ "step": 335
2355
+ },
2356
+ {
2357
+ "epoch": 4.303514376996805,
2358
+ "grad_norm": 0.24647625625675712,
2359
+ "learning_rate": 2.2908794869358044e-06,
2360
+ "loss": 0.3442,
2361
+ "step": 336
2362
+ },
2363
+ {
2364
+ "epoch": 4.31629392971246,
2365
+ "grad_norm": 0.2534440552420663,
2366
+ "learning_rate": 2.2084007044821764e-06,
2367
+ "loss": 0.3352,
2368
+ "step": 337
2369
+ },
2370
+ {
2371
+ "epoch": 4.329073482428115,
2372
+ "grad_norm": 0.23930760555111544,
2373
+ "learning_rate": 2.127347193531757e-06,
2374
+ "loss": 0.3388,
2375
+ "step": 338
2376
+ },
2377
+ {
2378
+ "epoch": 4.34185303514377,
2379
+ "grad_norm": 0.23902114243628853,
2380
+ "learning_rate": 2.0477254472197237e-06,
2381
+ "loss": 0.3379,
2382
+ "step": 339
2383
+ },
2384
+ {
2385
+ "epoch": 4.354632587859425,
2386
+ "grad_norm": 0.24839488860265907,
2387
+ "learning_rate": 1.96954184398368e-06,
2388
+ "loss": 0.3239,
2389
+ "step": 340
2390
+ },
2391
+ {
2392
+ "epoch": 4.36741214057508,
2393
+ "grad_norm": 0.23307275325799628,
2394
+ "learning_rate": 1.8928026470526917e-06,
2395
+ "loss": 0.3671,
2396
+ "step": 341
2397
+ },
2398
+ {
2399
+ "epoch": 4.380191693290735,
2400
+ "grad_norm": 0.2475348745152134,
2401
+ "learning_rate": 1.817514003945524e-06,
2402
+ "loss": 0.3573,
2403
+ "step": 342
2404
+ },
2405
+ {
2406
+ "epoch": 4.39297124600639,
2407
+ "grad_norm": 0.2573337703222915,
2408
+ "learning_rate": 1.743681945978184e-06,
2409
+ "loss": 0.324,
2410
+ "step": 343
2411
+ },
2412
+ {
2413
+ "epoch": 4.405750798722044,
2414
+ "grad_norm": 0.2509537961622258,
2415
+ "learning_rate": 1.6713123877807413e-06,
2416
+ "loss": 0.3235,
2417
+ "step": 344
2418
+ },
2419
+ {
2420
+ "epoch": 4.4185303514377,
2421
+ "grad_norm": 0.23972950347988456,
2422
+ "learning_rate": 1.6004111268235156e-06,
2423
+ "loss": 0.324,
2424
+ "step": 345
2425
+ },
2426
+ {
2427
+ "epoch": 4.431309904153355,
2428
+ "grad_norm": 0.24276933283329488,
2429
+ "learning_rate": 1.5309838429526714e-06,
2430
+ "loss": 0.3324,
2431
+ "step": 346
2432
+ },
2433
+ {
2434
+ "epoch": 4.444089456869009,
2435
+ "grad_norm": 0.23081639636114068,
2436
+ "learning_rate": 1.4630360979351644e-06,
2437
+ "loss": 0.3407,
2438
+ "step": 347
2439
+ },
2440
+ {
2441
+ "epoch": 4.456869009584665,
2442
+ "grad_norm": 0.23886385168549315,
2443
+ "learning_rate": 1.396573335013236e-06,
2444
+ "loss": 0.3324,
2445
+ "step": 348
2446
+ },
2447
+ {
2448
+ "epoch": 4.4696485623003195,
2449
+ "grad_norm": 0.23076136632315059,
2450
+ "learning_rate": 1.3316008784683265e-06,
2451
+ "loss": 0.3538,
2452
+ "step": 349
2453
+ },
2454
+ {
2455
+ "epoch": 4.482428115015974,
2456
+ "grad_norm": 0.24404693679132852,
2457
+ "learning_rate": 1.2681239331945695e-06,
2458
+ "loss": 0.3309,
2459
+ "step": 350
2460
+ },
2461
+ {
2462
+ "epoch": 4.49520766773163,
2463
+ "grad_norm": 0.2268383924961628,
2464
+ "learning_rate": 1.2061475842818337e-06,
2465
+ "loss": 0.3299,
2466
+ "step": 351
2467
+ },
2468
+ {
2469
+ "epoch": 4.507987220447284,
2470
+ "grad_norm": 0.22465135503054393,
2471
+ "learning_rate": 1.1456767966083393e-06,
2472
+ "loss": 0.324,
2473
+ "step": 352
2474
+ },
2475
+ {
2476
+ "epoch": 4.520766773162939,
2477
+ "grad_norm": 0.2220366554395612,
2478
+ "learning_rate": 1.086716414442952e-06,
2479
+ "loss": 0.3676,
2480
+ "step": 353
2481
+ },
2482
+ {
2483
+ "epoch": 4.533546325878595,
2484
+ "grad_norm": 0.21940448549398342,
2485
+ "learning_rate": 1.0292711610570904e-06,
2486
+ "loss": 0.334,
2487
+ "step": 354
2488
+ },
2489
+ {
2490
+ "epoch": 4.546325878594249,
2491
+ "grad_norm": 0.2144078580002602,
2492
+ "learning_rate": 9.733456383463658e-07,
2493
+ "loss": 0.3481,
2494
+ "step": 355
2495
+ },
2496
+ {
2497
+ "epoch": 4.559105431309904,
2498
+ "grad_norm": 0.2275935061530386,
2499
+ "learning_rate": 9.189443264619102e-07,
2500
+ "loss": 0.3256,
2501
+ "step": 356
2502
+ },
2503
+ {
2504
+ "epoch": 4.571884984025559,
2505
+ "grad_norm": 0.226985551191106,
2506
+ "learning_rate": 8.660715834514977e-07,
2507
+ "loss": 0.3173,
2508
+ "step": 357
2509
+ },
2510
+ {
2511
+ "epoch": 4.584664536741214,
2512
+ "grad_norm": 0.22485580253792856,
2513
+ "learning_rate": 8.147316449103959e-07,
2514
+ "loss": 0.3446,
2515
+ "step": 358
2516
+ },
2517
+ {
2518
+ "epoch": 4.597444089456869,
2519
+ "grad_norm": 0.2340075357389187,
2520
+ "learning_rate": 7.649286236420806e-07,
2521
+ "loss": 0.3364,
2522
+ "step": 359
2523
+ },
2524
+ {
2525
+ "epoch": 4.6102236421725244,
2526
+ "grad_norm": 0.22345846407489506,
2527
+ "learning_rate": 7.166665093287539e-07,
2528
+ "loss": 0.3367,
2529
+ "step": 360
2530
+ },
2531
+ {
2532
+ "epoch": 4.623003194888179,
2533
+ "grad_norm": 0.22370903675134662,
2534
+ "learning_rate": 6.69949168211721e-07,
2535
+ "loss": 0.3602,
2536
+ "step": 361
2537
+ },
2538
+ {
2539
+ "epoch": 4.635782747603834,
2540
+ "grad_norm": 0.22486085593015095,
2541
+ "learning_rate": 6.247803427816945e-07,
2542
+ "loss": 0.357,
2543
+ "step": 362
2544
+ },
2545
+ {
2546
+ "epoch": 4.6485623003194885,
2547
+ "grad_norm": 0.22083816946876406,
2548
+ "learning_rate": 5.811636514789598e-07,
2549
+ "loss": 0.3407,
2550
+ "step": 363
2551
+ },
2552
+ {
2553
+ "epoch": 4.661341853035144,
2554
+ "grad_norm": 0.2289657141053928,
2555
+ "learning_rate": 5.391025884035239e-07,
2556
+ "loss": 0.3283,
2557
+ "step": 364
2558
+ },
2559
+ {
2560
+ "epoch": 4.674121405750799,
2561
+ "grad_norm": 0.2245238228806618,
2562
+ "learning_rate": 4.986005230351954e-07,
2563
+ "loss": 0.3358,
2564
+ "step": 365
2565
+ },
2566
+ {
2567
+ "epoch": 4.686900958466453,
2568
+ "grad_norm": 0.22184337753951489,
2569
+ "learning_rate": 4.5966069996365993e-07,
2570
+ "loss": 0.3331,
2571
+ "step": 366
2572
+ },
2573
+ {
2574
+ "epoch": 4.699680511182109,
2575
+ "grad_norm": 0.2304636950863329,
2576
+ "learning_rate": 4.22286238628562e-07,
2577
+ "loss": 0.3297,
2578
+ "step": 367
2579
+ },
2580
+ {
2581
+ "epoch": 4.712460063897764,
2582
+ "grad_norm": 0.2168016391163561,
2583
+ "learning_rate": 3.8648013306960664e-07,
2584
+ "loss": 0.3407,
2585
+ "step": 368
2586
+ },
2587
+ {
2588
+ "epoch": 4.725239616613418,
2589
+ "grad_norm": 0.21992239865456173,
2590
+ "learning_rate": 3.522452516867048e-07,
2591
+ "loss": 0.3278,
2592
+ "step": 369
2593
+ },
2594
+ {
2595
+ "epoch": 4.738019169329074,
2596
+ "grad_norm": 0.22103634468553346,
2597
+ "learning_rate": 3.1958433701019697e-07,
2598
+ "loss": 0.3136,
2599
+ "step": 370
2600
+ },
2601
+ {
2602
+ "epoch": 4.7507987220447285,
2603
+ "grad_norm": 0.221656009377628,
2604
+ "learning_rate": 2.8850000548115155e-07,
2605
+ "loss": 0.342,
2606
+ "step": 371
2607
+ },
2608
+ {
2609
+ "epoch": 4.763578274760383,
2610
+ "grad_norm": 0.2195544732802204,
2611
+ "learning_rate": 2.5899474724174313e-07,
2612
+ "loss": 0.3507,
2613
+ "step": 372
2614
+ },
2615
+ {
2616
+ "epoch": 4.776357827476039,
2617
+ "grad_norm": 0.23056922821652975,
2618
+ "learning_rate": 2.3107092593579905e-07,
2619
+ "loss": 0.3375,
2620
+ "step": 373
2621
+ },
2622
+ {
2623
+ "epoch": 4.789137380191693,
2624
+ "grad_norm": 0.222492788995926,
2625
+ "learning_rate": 2.0473077851942858e-07,
2626
+ "loss": 0.3524,
2627
+ "step": 374
2628
+ },
2629
+ {
2630
+ "epoch": 4.801916932907348,
2631
+ "grad_norm": 0.22232266738755696,
2632
+ "learning_rate": 1.799764150818306e-07,
2633
+ "loss": 0.3511,
2634
+ "step": 375
2635
+ },
2636
+ {
2637
+ "epoch": 4.814696485623003,
2638
+ "grad_norm": 0.21962084479736094,
2639
+ "learning_rate": 1.5680981867625566e-07,
2640
+ "loss": 0.3334,
2641
+ "step": 376
2642
+ },
2643
+ {
2644
+ "epoch": 4.827476038338658,
2645
+ "grad_norm": 0.21579569570483248,
2646
+ "learning_rate": 1.3523284516113955e-07,
2647
+ "loss": 0.3578,
2648
+ "step": 377
2649
+ },
2650
+ {
2651
+ "epoch": 4.840255591054313,
2652
+ "grad_norm": 0.21848361329456045,
2653
+ "learning_rate": 1.1524722305144231e-07,
2654
+ "loss": 0.3482,
2655
+ "step": 378
2656
+ },
2657
+ {
2658
+ "epoch": 4.853035143769968,
2659
+ "grad_norm": 0.22295101336863904,
2660
+ "learning_rate": 9.685455338016347e-08,
2661
+ "loss": 0.344,
2662
+ "step": 379
2663
+ },
2664
+ {
2665
+ "epoch": 4.865814696485623,
2666
+ "grad_norm": 0.22388599501739676,
2667
+ "learning_rate": 8.005630957010014e-08,
2668
+ "loss": 0.3507,
2669
+ "step": 380
2670
+ },
2671
+ {
2672
+ "epoch": 4.878594249201278,
2673
+ "grad_norm": 0.21620839076719045,
2674
+ "learning_rate": 6.485383731580142e-08,
2675
+ "loss": 0.3338,
2676
+ "step": 381
2677
+ },
2678
+ {
2679
+ "epoch": 4.891373801916933,
2680
+ "grad_norm": 0.21452810970623,
2681
+ "learning_rate": 5.1248354475768034e-08,
2682
+ "loss": 0.3269,
2683
+ "step": 382
2684
+ },
2685
+ {
2686
+ "epoch": 4.904153354632588,
2687
+ "grad_norm": 0.22073444367795245,
2688
+ "learning_rate": 3.924095097489922e-08,
2689
+ "loss": 0.3343,
2690
+ "step": 383
2691
+ },
2692
+ {
2693
+ "epoch": 4.916932907348243,
2694
+ "grad_norm": 0.2168939465061565,
2695
+ "learning_rate": 2.8832588717164766e-08,
2696
+ "loss": 0.3393,
2697
+ "step": 384
2698
+ },
2699
+ {
2700
+ "epoch": 4.9297124600638975,
2701
+ "grad_norm": 0.22692258552939853,
2702
+ "learning_rate": 2.0024101508555604e-08,
2703
+ "loss": 0.3312,
2704
+ "step": 385
2705
+ },
2706
+ {
2707
+ "epoch": 4.942492012779553,
2708
+ "grad_norm": 0.21678847192685047,
2709
+ "learning_rate": 1.281619499029274e-08,
2710
+ "loss": 0.3482,
2711
+ "step": 386
2712
+ },
2713
+ {
2714
+ "epoch": 4.955271565495208,
2715
+ "grad_norm": 0.22738297907016455,
2716
+ "learning_rate": 7.209446582292501e-09,
2717
+ "loss": 0.3349,
2718
+ "step": 387
2719
+ },
2720
+ {
2721
+ "epoch": 4.968051118210862,
2722
+ "grad_norm": 0.222159525238591,
2723
+ "learning_rate": 3.2043054369057523e-09,
2724
+ "loss": 0.3281,
2725
+ "step": 388
2726
+ },
2727
+ {
2728
+ "epoch": 4.980830670926517,
2729
+ "grad_norm": 0.22624430672708137,
2730
+ "learning_rate": 8.010924029533406e-10,
2731
+ "loss": 0.3238,
2732
+ "step": 389
2733
+ },
2734
+ {
2735
+ "epoch": 4.993610223642173,
2736
+ "grad_norm": 0.23797061131952146,
2737
+ "learning_rate": 0.0,
2738
+ "loss": 0.3224,
2739
+ "step": 390
2740
+ },
2741
+ {
2742
+ "epoch": 4.993610223642173,
2743
+ "step": 390,
2744
+ "total_flos": 1.2901911719428751e+18,
2745
+ "train_loss": 0.14476858102358303,
2746
+ "train_runtime": 3885.8859,
2747
+ "train_samples_per_second": 12.867,
2748
+ "train_steps_per_second": 0.1
2749
+ }
2750
+ ],
2751
+ "logging_steps": 1,
2752
+ "max_steps": 390,
2753
+ "num_input_tokens_seen": 0,
2754
+ "num_train_epochs": 5,
2755
+ "save_steps": 500,
2756
+ "stateful_callbacks": {
2757
+ "TrainerControl": {
2758
+ "args": {
2759
+ "should_epoch_stop": false,
2760
+ "should_evaluate": false,
2761
+ "should_log": false,
2762
+ "should_save": true,
2763
+ "should_training_stop": true
2764
+ },
2765
+ "attributes": {}
2766
+ }
2767
+ },
2768
+ "total_flos": 1.2901911719428751e+18,
2769
+ "train_batch_size": 1,
2770
+ "trial_name": null,
2771
+ "trial_params": null
2772
+ }
training_loss.png ADDED