gokuls commited on
Commit
05ecfaf
1 Parent(s): e11ea10

End of training

Browse files
Files changed (5) hide show
  1. README.md +16 -4
  2. all_results.json +15 -0
  3. eval_results.json +10 -0
  4. train_results.json +8 -0
  5. trainer_state.json +2737 -0
README.md CHANGED
@@ -1,11 +1,23 @@
1
  ---
2
  tags:
3
  - generated_from_trainer
 
 
4
  metrics:
5
  - accuracy
6
  model-index:
7
  - name: bert_12_layer_model_v3_complete_training_48
8
- results: []
 
 
 
 
 
 
 
 
 
 
9
  ---
10
 
11
  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -13,10 +25,10 @@ should probably proofread and complete it, then remove this comment. -->
13
 
14
  # bert_12_layer_model_v3_complete_training_48
15
 
16
- This model is a fine-tuned version of [](https://huggingface.co/) on an unknown dataset.
17
  It achieves the following results on the evaluation set:
18
- - Loss: 3.2770
19
- - Accuracy: 0.4429
20
 
21
  ## Model description
22
 
 
1
  ---
2
  tags:
3
  - generated_from_trainer
4
+ datasets:
5
+ - gokuls/wiki_book_corpus_complete_processed_bert_dataset
6
  metrics:
7
  - accuracy
8
  model-index:
9
  - name: bert_12_layer_model_v3_complete_training_48
10
+ results:
11
+ - task:
12
+ name: Masked Language Modeling
13
+ type: fill-mask
14
+ dataset:
15
+ name: gokuls/wiki_book_corpus_complete_processed_bert_dataset
16
+ type: gokuls/wiki_book_corpus_complete_processed_bert_dataset
17
+ metrics:
18
+ - name: Accuracy
19
+ type: accuracy
20
+ value: 0.44304308255003333
21
  ---
22
 
23
  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
 
25
 
26
  # bert_12_layer_model_v3_complete_training_48
27
 
28
+ This model is a fine-tuned version of [](https://huggingface.co/) on the gokuls/wiki_book_corpus_complete_processed_bert_dataset dataset.
29
  It achieves the following results on the evaluation set:
30
+ - Loss: 3.2767
31
+ - Accuracy: 0.4430
32
 
33
  ## Model description
34
 
all_results.json ADDED
@@ -0,0 +1,15 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "epoch": 1.72,
3
+ "eval_accuracy": 0.44304308255003333,
4
+ "eval_loss": 3.2766900062561035,
5
+ "eval_runtime": 1728.7154,
6
+ "eval_samples": 308356,
7
+ "eval_samples_per_second": 178.373,
8
+ "eval_steps_per_second": 3.717,
9
+ "perplexity": 26.487952480866188,
10
+ "train_loss": 5.009029721765974,
11
+ "train_runtime": 198560.4752,
12
+ "train_samples": 5858758,
13
+ "train_samples_per_second": 147.531,
14
+ "train_steps_per_second": 3.074
15
+ }
eval_results.json ADDED
@@ -0,0 +1,10 @@
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "epoch": 1.72,
3
+ "eval_accuracy": 0.44304308255003333,
4
+ "eval_loss": 3.2766900062561035,
5
+ "eval_runtime": 1728.7154,
6
+ "eval_samples": 308356,
7
+ "eval_samples_per_second": 178.373,
8
+ "eval_steps_per_second": 3.717,
9
+ "perplexity": 26.487952480866188
10
+ }
train_results.json ADDED
@@ -0,0 +1,8 @@
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "epoch": 1.72,
3
+ "train_loss": 5.009029721765974,
4
+ "train_runtime": 198560.4752,
5
+ "train_samples": 5858758,
6
+ "train_samples_per_second": 147.531,
7
+ "train_steps_per_second": 3.074
8
+ }
trainer_state.json ADDED
@@ -0,0 +1,2737 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_metric": 3.276972532272339,
3
+ "best_model_checkpoint": "bert_12_layer_model_v3_complete_training_48/checkpoint-210000",
4
+ "epoch": 1.7205017286863622,
5
+ "eval_steps": 10000,
6
+ "global_step": 210001,
7
+ "is_hyper_param_search": false,
8
+ "is_local_process_zero": true,
9
+ "is_world_process_zero": true,
10
+ "log_history": [
11
+ {
12
+ "epoch": 0.0,
13
+ "learning_rate": 5.000000000000001e-07,
14
+ "loss": 10.0329,
15
+ "step": 500
16
+ },
17
+ {
18
+ "epoch": 0.01,
19
+ "learning_rate": 1.0000000000000002e-06,
20
+ "loss": 9.2587,
21
+ "step": 1000
22
+ },
23
+ {
24
+ "epoch": 0.01,
25
+ "learning_rate": 1.5e-06,
26
+ "loss": 8.8486,
27
+ "step": 1500
28
+ },
29
+ {
30
+ "epoch": 0.02,
31
+ "learning_rate": 2.0000000000000003e-06,
32
+ "loss": 8.3677,
33
+ "step": 2000
34
+ },
35
+ {
36
+ "epoch": 0.02,
37
+ "learning_rate": 2.5e-06,
38
+ "loss": 7.88,
39
+ "step": 2500
40
+ },
41
+ {
42
+ "epoch": 0.02,
43
+ "learning_rate": 3e-06,
44
+ "loss": 7.4747,
45
+ "step": 3000
46
+ },
47
+ {
48
+ "epoch": 0.03,
49
+ "learning_rate": 3.5e-06,
50
+ "loss": 7.204,
51
+ "step": 3500
52
+ },
53
+ {
54
+ "epoch": 0.03,
55
+ "learning_rate": 4.000000000000001e-06,
56
+ "loss": 7.0561,
57
+ "step": 4000
58
+ },
59
+ {
60
+ "epoch": 0.04,
61
+ "learning_rate": 4.5e-06,
62
+ "loss": 6.9694,
63
+ "step": 4500
64
+ },
65
+ {
66
+ "epoch": 0.04,
67
+ "learning_rate": 5e-06,
68
+ "loss": 6.8997,
69
+ "step": 5000
70
+ },
71
+ {
72
+ "epoch": 0.05,
73
+ "learning_rate": 5.500000000000001e-06,
74
+ "loss": 6.8455,
75
+ "step": 5500
76
+ },
77
+ {
78
+ "epoch": 0.05,
79
+ "learning_rate": 6e-06,
80
+ "loss": 6.7998,
81
+ "step": 6000
82
+ },
83
+ {
84
+ "epoch": 0.05,
85
+ "learning_rate": 6.5000000000000004e-06,
86
+ "loss": 6.7626,
87
+ "step": 6500
88
+ },
89
+ {
90
+ "epoch": 0.06,
91
+ "learning_rate": 7e-06,
92
+ "loss": 6.7341,
93
+ "step": 7000
94
+ },
95
+ {
96
+ "epoch": 0.06,
97
+ "learning_rate": 7.500000000000001e-06,
98
+ "loss": 6.7025,
99
+ "step": 7500
100
+ },
101
+ {
102
+ "epoch": 0.07,
103
+ "learning_rate": 8.000000000000001e-06,
104
+ "loss": 6.6692,
105
+ "step": 8000
106
+ },
107
+ {
108
+ "epoch": 0.07,
109
+ "learning_rate": 8.5e-06,
110
+ "loss": 6.6379,
111
+ "step": 8500
112
+ },
113
+ {
114
+ "epoch": 0.07,
115
+ "learning_rate": 9e-06,
116
+ "loss": 6.6169,
117
+ "step": 9000
118
+ },
119
+ {
120
+ "epoch": 0.08,
121
+ "learning_rate": 9.5e-06,
122
+ "loss": 6.5932,
123
+ "step": 9500
124
+ },
125
+ {
126
+ "epoch": 0.08,
127
+ "learning_rate": 1e-05,
128
+ "loss": 6.5785,
129
+ "step": 10000
130
+ },
131
+ {
132
+ "epoch": 0.08,
133
+ "eval_accuracy": 0.1281588728537004,
134
+ "eval_loss": 6.536772727966309,
135
+ "eval_runtime": 1720.6981,
136
+ "eval_samples_per_second": 179.204,
137
+ "eval_steps_per_second": 3.734,
138
+ "step": 10000
139
+ },
140
+ {
141
+ "epoch": 0.09,
142
+ "learning_rate": 9.991670692498626e-06,
143
+ "loss": 6.5603,
144
+ "step": 10500
145
+ },
146
+ {
147
+ "epoch": 0.09,
148
+ "learning_rate": 9.983341384997253e-06,
149
+ "loss": 6.5317,
150
+ "step": 11000
151
+ },
152
+ {
153
+ "epoch": 0.09,
154
+ "learning_rate": 9.975012077495878e-06,
155
+ "loss": 6.5131,
156
+ "step": 11500
157
+ },
158
+ {
159
+ "epoch": 0.1,
160
+ "learning_rate": 9.966682769994504e-06,
161
+ "loss": 6.5036,
162
+ "step": 12000
163
+ },
164
+ {
165
+ "epoch": 0.1,
166
+ "learning_rate": 9.95835346249313e-06,
167
+ "loss": 6.4902,
168
+ "step": 12500
169
+ },
170
+ {
171
+ "epoch": 0.11,
172
+ "learning_rate": 9.950024154991756e-06,
173
+ "loss": 6.4707,
174
+ "step": 13000
175
+ },
176
+ {
177
+ "epoch": 0.11,
178
+ "learning_rate": 9.941694847490381e-06,
179
+ "loss": 6.4644,
180
+ "step": 13500
181
+ },
182
+ {
183
+ "epoch": 0.11,
184
+ "learning_rate": 9.933365539989006e-06,
185
+ "loss": 6.4583,
186
+ "step": 14000
187
+ },
188
+ {
189
+ "epoch": 0.12,
190
+ "learning_rate": 9.925036232487631e-06,
191
+ "loss": 6.4372,
192
+ "step": 14500
193
+ },
194
+ {
195
+ "epoch": 0.12,
196
+ "learning_rate": 9.916706924986258e-06,
197
+ "loss": 6.4306,
198
+ "step": 15000
199
+ },
200
+ {
201
+ "epoch": 0.13,
202
+ "learning_rate": 9.908377617484883e-06,
203
+ "loss": 6.4226,
204
+ "step": 15500
205
+ },
206
+ {
207
+ "epoch": 0.13,
208
+ "learning_rate": 9.90004830998351e-06,
209
+ "loss": 6.4187,
210
+ "step": 16000
211
+ },
212
+ {
213
+ "epoch": 0.14,
214
+ "learning_rate": 9.891719002482134e-06,
215
+ "loss": 6.4088,
216
+ "step": 16500
217
+ },
218
+ {
219
+ "epoch": 0.14,
220
+ "learning_rate": 9.883389694980761e-06,
221
+ "loss": 6.3977,
222
+ "step": 17000
223
+ },
224
+ {
225
+ "epoch": 0.14,
226
+ "learning_rate": 9.875060387479386e-06,
227
+ "loss": 6.3956,
228
+ "step": 17500
229
+ },
230
+ {
231
+ "epoch": 0.15,
232
+ "learning_rate": 9.866731079978011e-06,
233
+ "loss": 6.3832,
234
+ "step": 18000
235
+ },
236
+ {
237
+ "epoch": 0.15,
238
+ "learning_rate": 9.858401772476636e-06,
239
+ "loss": 6.3764,
240
+ "step": 18500
241
+ },
242
+ {
243
+ "epoch": 0.16,
244
+ "learning_rate": 9.850072464975263e-06,
245
+ "loss": 6.3653,
246
+ "step": 19000
247
+ },
248
+ {
249
+ "epoch": 0.16,
250
+ "learning_rate": 9.84174315747389e-06,
251
+ "loss": 6.3657,
252
+ "step": 19500
253
+ },
254
+ {
255
+ "epoch": 0.16,
256
+ "learning_rate": 9.833413849972514e-06,
257
+ "loss": 6.3475,
258
+ "step": 20000
259
+ },
260
+ {
261
+ "epoch": 0.16,
262
+ "eval_accuracy": 0.1409108328280017,
263
+ "eval_loss": 6.334103584289551,
264
+ "eval_runtime": 1722.0793,
265
+ "eval_samples_per_second": 179.06,
266
+ "eval_steps_per_second": 3.731,
267
+ "step": 20000
268
+ },
269
+ {
270
+ "epoch": 0.17,
271
+ "learning_rate": 9.82508454247114e-06,
272
+ "loss": 6.348,
273
+ "step": 20500
274
+ },
275
+ {
276
+ "epoch": 0.17,
277
+ "learning_rate": 9.816755234969766e-06,
278
+ "loss": 6.3477,
279
+ "step": 21000
280
+ },
281
+ {
282
+ "epoch": 0.18,
283
+ "learning_rate": 9.808425927468391e-06,
284
+ "loss": 6.3332,
285
+ "step": 21500
286
+ },
287
+ {
288
+ "epoch": 0.18,
289
+ "learning_rate": 9.800096619967016e-06,
290
+ "loss": 6.3293,
291
+ "step": 22000
292
+ },
293
+ {
294
+ "epoch": 0.18,
295
+ "learning_rate": 9.791767312465643e-06,
296
+ "loss": 6.3264,
297
+ "step": 22500
298
+ },
299
+ {
300
+ "epoch": 0.19,
301
+ "learning_rate": 9.783438004964268e-06,
302
+ "loss": 6.3268,
303
+ "step": 23000
304
+ },
305
+ {
306
+ "epoch": 0.19,
307
+ "learning_rate": 9.775108697462895e-06,
308
+ "loss": 6.3126,
309
+ "step": 23500
310
+ },
311
+ {
312
+ "epoch": 0.2,
313
+ "learning_rate": 9.76677938996152e-06,
314
+ "loss": 6.3155,
315
+ "step": 24000
316
+ },
317
+ {
318
+ "epoch": 0.2,
319
+ "learning_rate": 9.758450082460145e-06,
320
+ "loss": 6.3013,
321
+ "step": 24500
322
+ },
323
+ {
324
+ "epoch": 0.2,
325
+ "learning_rate": 9.750120774958771e-06,
326
+ "loss": 6.3143,
327
+ "step": 25000
328
+ },
329
+ {
330
+ "epoch": 0.21,
331
+ "learning_rate": 9.741791467457396e-06,
332
+ "loss": 6.3005,
333
+ "step": 25500
334
+ },
335
+ {
336
+ "epoch": 0.21,
337
+ "learning_rate": 9.733462159956021e-06,
338
+ "loss": 6.2994,
339
+ "step": 26000
340
+ },
341
+ {
342
+ "epoch": 0.22,
343
+ "learning_rate": 9.725132852454648e-06,
344
+ "loss": 6.2936,
345
+ "step": 26500
346
+ },
347
+ {
348
+ "epoch": 0.22,
349
+ "learning_rate": 9.716803544953275e-06,
350
+ "loss": 6.2832,
351
+ "step": 27000
352
+ },
353
+ {
354
+ "epoch": 0.23,
355
+ "learning_rate": 9.7084742374519e-06,
356
+ "loss": 6.2783,
357
+ "step": 27500
358
+ },
359
+ {
360
+ "epoch": 0.23,
361
+ "learning_rate": 9.700144929950525e-06,
362
+ "loss": 6.2787,
363
+ "step": 28000
364
+ },
365
+ {
366
+ "epoch": 0.23,
367
+ "learning_rate": 9.69181562244915e-06,
368
+ "loss": 6.281,
369
+ "step": 28500
370
+ },
371
+ {
372
+ "epoch": 0.24,
373
+ "learning_rate": 9.683486314947776e-06,
374
+ "loss": 6.2738,
375
+ "step": 29000
376
+ },
377
+ {
378
+ "epoch": 0.24,
379
+ "learning_rate": 9.675157007446401e-06,
380
+ "loss": 6.271,
381
+ "step": 29500
382
+ },
383
+ {
384
+ "epoch": 0.25,
385
+ "learning_rate": 9.666827699945028e-06,
386
+ "loss": 6.2664,
387
+ "step": 30000
388
+ },
389
+ {
390
+ "epoch": 0.25,
391
+ "eval_accuracy": 0.14461693539515286,
392
+ "eval_loss": 6.252469539642334,
393
+ "eval_runtime": 1724.7009,
394
+ "eval_samples_per_second": 178.788,
395
+ "eval_steps_per_second": 3.725,
396
+ "step": 30000
397
+ },
398
+ {
399
+ "epoch": 0.25,
400
+ "learning_rate": 9.658498392443653e-06,
401
+ "loss": 6.2588,
402
+ "step": 30500
403
+ },
404
+ {
405
+ "epoch": 0.25,
406
+ "learning_rate": 9.65016908494228e-06,
407
+ "loss": 6.2593,
408
+ "step": 31000
409
+ },
410
+ {
411
+ "epoch": 0.26,
412
+ "learning_rate": 9.641839777440905e-06,
413
+ "loss": 6.2593,
414
+ "step": 31500
415
+ },
416
+ {
417
+ "epoch": 0.26,
418
+ "learning_rate": 9.63351046993953e-06,
419
+ "loss": 6.2613,
420
+ "step": 32000
421
+ },
422
+ {
423
+ "epoch": 0.27,
424
+ "learning_rate": 9.625181162438155e-06,
425
+ "loss": 6.2533,
426
+ "step": 32500
427
+ },
428
+ {
429
+ "epoch": 0.27,
430
+ "learning_rate": 9.616851854936781e-06,
431
+ "loss": 6.2452,
432
+ "step": 33000
433
+ },
434
+ {
435
+ "epoch": 0.27,
436
+ "learning_rate": 9.608522547435406e-06,
437
+ "loss": 6.2417,
438
+ "step": 33500
439
+ },
440
+ {
441
+ "epoch": 0.28,
442
+ "learning_rate": 9.600193239934033e-06,
443
+ "loss": 6.2437,
444
+ "step": 34000
445
+ },
446
+ {
447
+ "epoch": 0.28,
448
+ "learning_rate": 9.591863932432658e-06,
449
+ "loss": 6.2389,
450
+ "step": 34500
451
+ },
452
+ {
453
+ "epoch": 0.29,
454
+ "learning_rate": 9.583534624931285e-06,
455
+ "loss": 6.2385,
456
+ "step": 35000
457
+ },
458
+ {
459
+ "epoch": 0.29,
460
+ "learning_rate": 9.57520531742991e-06,
461
+ "loss": 6.2453,
462
+ "step": 35500
463
+ },
464
+ {
465
+ "epoch": 0.29,
466
+ "learning_rate": 9.566876009928535e-06,
467
+ "loss": 6.2325,
468
+ "step": 36000
469
+ },
470
+ {
471
+ "epoch": 0.3,
472
+ "learning_rate": 9.55854670242716e-06,
473
+ "loss": 6.2267,
474
+ "step": 36500
475
+ },
476
+ {
477
+ "epoch": 0.3,
478
+ "learning_rate": 9.550217394925787e-06,
479
+ "loss": 6.2266,
480
+ "step": 37000
481
+ },
482
+ {
483
+ "epoch": 0.31,
484
+ "learning_rate": 9.541888087424413e-06,
485
+ "loss": 6.2342,
486
+ "step": 37500
487
+ },
488
+ {
489
+ "epoch": 0.31,
490
+ "learning_rate": 9.533558779923038e-06,
491
+ "loss": 6.2164,
492
+ "step": 38000
493
+ },
494
+ {
495
+ "epoch": 0.32,
496
+ "learning_rate": 9.525229472421663e-06,
497
+ "loss": 6.2245,
498
+ "step": 38500
499
+ },
500
+ {
501
+ "epoch": 0.32,
502
+ "learning_rate": 9.51690016492029e-06,
503
+ "loss": 6.2191,
504
+ "step": 39000
505
+ },
506
+ {
507
+ "epoch": 0.32,
508
+ "learning_rate": 9.508570857418915e-06,
509
+ "loss": 6.2151,
510
+ "step": 39500
511
+ },
512
+ {
513
+ "epoch": 0.33,
514
+ "learning_rate": 9.50024154991754e-06,
515
+ "loss": 6.2198,
516
+ "step": 40000
517
+ },
518
+ {
519
+ "epoch": 0.33,
520
+ "eval_accuracy": 0.1473662192399404,
521
+ "eval_loss": 6.200199604034424,
522
+ "eval_runtime": 1724.9579,
523
+ "eval_samples_per_second": 178.761,
524
+ "eval_steps_per_second": 3.725,
525
+ "step": 40000
526
+ },
527
+ {
528
+ "epoch": 0.33,
529
+ "learning_rate": 9.491912242416167e-06,
530
+ "loss": 6.2087,
531
+ "step": 40500
532
+ },
533
+ {
534
+ "epoch": 0.34,
535
+ "learning_rate": 9.483582934914792e-06,
536
+ "loss": 6.2109,
537
+ "step": 41000
538
+ },
539
+ {
540
+ "epoch": 0.34,
541
+ "learning_rate": 9.475253627413418e-06,
542
+ "loss": 6.2109,
543
+ "step": 41500
544
+ },
545
+ {
546
+ "epoch": 0.34,
547
+ "learning_rate": 9.466924319912043e-06,
548
+ "loss": 6.2089,
549
+ "step": 42000
550
+ },
551
+ {
552
+ "epoch": 0.35,
553
+ "learning_rate": 9.458595012410668e-06,
554
+ "loss": 6.2088,
555
+ "step": 42500
556
+ },
557
+ {
558
+ "epoch": 0.35,
559
+ "learning_rate": 9.450265704909295e-06,
560
+ "loss": 6.1999,
561
+ "step": 43000
562
+ },
563
+ {
564
+ "epoch": 0.36,
565
+ "learning_rate": 9.44193639740792e-06,
566
+ "loss": 6.2022,
567
+ "step": 43500
568
+ },
569
+ {
570
+ "epoch": 0.36,
571
+ "learning_rate": 9.433607089906545e-06,
572
+ "loss": 6.2002,
573
+ "step": 44000
574
+ },
575
+ {
576
+ "epoch": 0.36,
577
+ "learning_rate": 9.425277782405172e-06,
578
+ "loss": 6.1945,
579
+ "step": 44500
580
+ },
581
+ {
582
+ "epoch": 0.37,
583
+ "learning_rate": 9.416948474903798e-06,
584
+ "loss": 6.1907,
585
+ "step": 45000
586
+ },
587
+ {
588
+ "epoch": 0.37,
589
+ "learning_rate": 9.408619167402423e-06,
590
+ "loss": 6.1858,
591
+ "step": 45500
592
+ },
593
+ {
594
+ "epoch": 0.38,
595
+ "learning_rate": 9.400289859901048e-06,
596
+ "loss": 6.1872,
597
+ "step": 46000
598
+ },
599
+ {
600
+ "epoch": 0.38,
601
+ "learning_rate": 9.391960552399673e-06,
602
+ "loss": 6.1799,
603
+ "step": 46500
604
+ },
605
+ {
606
+ "epoch": 0.39,
607
+ "learning_rate": 9.3836312448983e-06,
608
+ "loss": 6.1826,
609
+ "step": 47000
610
+ },
611
+ {
612
+ "epoch": 0.39,
613
+ "learning_rate": 9.375301937396925e-06,
614
+ "loss": 6.181,
615
+ "step": 47500
616
+ },
617
+ {
618
+ "epoch": 0.39,
619
+ "learning_rate": 9.366972629895552e-06,
620
+ "loss": 6.1716,
621
+ "step": 48000
622
+ },
623
+ {
624
+ "epoch": 0.4,
625
+ "learning_rate": 9.358643322394177e-06,
626
+ "loss": 6.1592,
627
+ "step": 48500
628
+ },
629
+ {
630
+ "epoch": 0.4,
631
+ "learning_rate": 9.350314014892804e-06,
632
+ "loss": 6.1546,
633
+ "step": 49000
634
+ },
635
+ {
636
+ "epoch": 0.41,
637
+ "learning_rate": 9.341984707391429e-06,
638
+ "loss": 6.1542,
639
+ "step": 49500
640
+ },
641
+ {
642
+ "epoch": 0.41,
643
+ "learning_rate": 9.333655399890054e-06,
644
+ "loss": 6.1403,
645
+ "step": 50000
646
+ },
647
+ {
648
+ "epoch": 0.41,
649
+ "eval_accuracy": 0.14970864377614984,
650
+ "eval_loss": 6.124306678771973,
651
+ "eval_runtime": 1727.7237,
652
+ "eval_samples_per_second": 178.475,
653
+ "eval_steps_per_second": 3.719,
654
+ "step": 50000
655
+ },
656
+ {
657
+ "epoch": 0.41,
658
+ "learning_rate": 9.325326092388679e-06,
659
+ "loss": 6.1416,
660
+ "step": 50500
661
+ },
662
+ {
663
+ "epoch": 0.42,
664
+ "learning_rate": 9.316996784887305e-06,
665
+ "loss": 6.1331,
666
+ "step": 51000
667
+ },
668
+ {
669
+ "epoch": 0.42,
670
+ "learning_rate": 9.30866747738593e-06,
671
+ "loss": 6.1328,
672
+ "step": 51500
673
+ },
674
+ {
675
+ "epoch": 0.43,
676
+ "learning_rate": 9.300338169884557e-06,
677
+ "loss": 6.122,
678
+ "step": 52000
679
+ },
680
+ {
681
+ "epoch": 0.43,
682
+ "learning_rate": 9.292008862383182e-06,
683
+ "loss": 6.1199,
684
+ "step": 52500
685
+ },
686
+ {
687
+ "epoch": 0.43,
688
+ "learning_rate": 9.283679554881809e-06,
689
+ "loss": 6.1099,
690
+ "step": 53000
691
+ },
692
+ {
693
+ "epoch": 0.44,
694
+ "learning_rate": 9.275350247380434e-06,
695
+ "loss": 6.1117,
696
+ "step": 53500
697
+ },
698
+ {
699
+ "epoch": 0.44,
700
+ "learning_rate": 9.267020939879059e-06,
701
+ "loss": 6.1092,
702
+ "step": 54000
703
+ },
704
+ {
705
+ "epoch": 0.45,
706
+ "learning_rate": 9.258691632377685e-06,
707
+ "loss": 6.0971,
708
+ "step": 54500
709
+ },
710
+ {
711
+ "epoch": 0.45,
712
+ "learning_rate": 9.25036232487631e-06,
713
+ "loss": 6.1019,
714
+ "step": 55000
715
+ },
716
+ {
717
+ "epoch": 0.45,
718
+ "learning_rate": 9.242033017374937e-06,
719
+ "loss": 6.1,
720
+ "step": 55500
721
+ },
722
+ {
723
+ "epoch": 0.46,
724
+ "learning_rate": 9.233703709873562e-06,
725
+ "loss": 6.0994,
726
+ "step": 56000
727
+ },
728
+ {
729
+ "epoch": 0.46,
730
+ "learning_rate": 9.225374402372189e-06,
731
+ "loss": 6.0944,
732
+ "step": 56500
733
+ },
734
+ {
735
+ "epoch": 0.47,
736
+ "learning_rate": 9.217045094870814e-06,
737
+ "loss": 6.0903,
738
+ "step": 57000
739
+ },
740
+ {
741
+ "epoch": 0.47,
742
+ "learning_rate": 9.208715787369439e-06,
743
+ "loss": 6.0891,
744
+ "step": 57500
745
+ },
746
+ {
747
+ "epoch": 0.48,
748
+ "learning_rate": 9.200386479868064e-06,
749
+ "loss": 6.0772,
750
+ "step": 58000
751
+ },
752
+ {
753
+ "epoch": 0.48,
754
+ "learning_rate": 9.19205717236669e-06,
755
+ "loss": 6.0875,
756
+ "step": 58500
757
+ },
758
+ {
759
+ "epoch": 0.48,
760
+ "learning_rate": 9.183727864865315e-06,
761
+ "loss": 6.0704,
762
+ "step": 59000
763
+ },
764
+ {
765
+ "epoch": 0.49,
766
+ "learning_rate": 9.175398557363942e-06,
767
+ "loss": 6.0731,
768
+ "step": 59500
769
+ },
770
+ {
771
+ "epoch": 0.49,
772
+ "learning_rate": 9.167069249862567e-06,
773
+ "loss": 6.0674,
774
+ "step": 60000
775
+ },
776
+ {
777
+ "epoch": 0.49,
778
+ "eval_accuracy": 0.15200529744836427,
779
+ "eval_loss": 6.038893699645996,
780
+ "eval_runtime": 1726.8486,
781
+ "eval_samples_per_second": 178.566,
782
+ "eval_steps_per_second": 3.721,
783
+ "step": 60000
784
+ },
785
+ {
786
+ "epoch": 0.5,
787
+ "learning_rate": 9.158739942361194e-06,
788
+ "loss": 6.0683,
789
+ "step": 60500
790
+ },
791
+ {
792
+ "epoch": 0.5,
793
+ "learning_rate": 9.150410634859819e-06,
794
+ "loss": 6.0596,
795
+ "step": 61000
796
+ },
797
+ {
798
+ "epoch": 0.5,
799
+ "learning_rate": 9.142081327358444e-06,
800
+ "loss": 6.0569,
801
+ "step": 61500
802
+ },
803
+ {
804
+ "epoch": 0.51,
805
+ "learning_rate": 9.133752019857069e-06,
806
+ "loss": 6.0533,
807
+ "step": 62000
808
+ },
809
+ {
810
+ "epoch": 0.51,
811
+ "learning_rate": 9.125422712355696e-06,
812
+ "loss": 6.0434,
813
+ "step": 62500
814
+ },
815
+ {
816
+ "epoch": 0.52,
817
+ "learning_rate": 9.11709340485432e-06,
818
+ "loss": 6.0474,
819
+ "step": 63000
820
+ },
821
+ {
822
+ "epoch": 0.52,
823
+ "learning_rate": 9.108764097352947e-06,
824
+ "loss": 6.0405,
825
+ "step": 63500
826
+ },
827
+ {
828
+ "epoch": 0.52,
829
+ "learning_rate": 9.100434789851572e-06,
830
+ "loss": 6.0249,
831
+ "step": 64000
832
+ },
833
+ {
834
+ "epoch": 0.53,
835
+ "learning_rate": 9.092105482350199e-06,
836
+ "loss": 6.0271,
837
+ "step": 64500
838
+ },
839
+ {
840
+ "epoch": 0.53,
841
+ "learning_rate": 9.083776174848824e-06,
842
+ "loss": 6.0265,
843
+ "step": 65000
844
+ },
845
+ {
846
+ "epoch": 0.54,
847
+ "learning_rate": 9.075446867347449e-06,
848
+ "loss": 6.0222,
849
+ "step": 65500
850
+ },
851
+ {
852
+ "epoch": 0.54,
853
+ "learning_rate": 9.067117559846076e-06,
854
+ "loss": 6.0264,
855
+ "step": 66000
856
+ },
857
+ {
858
+ "epoch": 0.54,
859
+ "learning_rate": 9.0587882523447e-06,
860
+ "loss": 6.0097,
861
+ "step": 66500
862
+ },
863
+ {
864
+ "epoch": 0.55,
865
+ "learning_rate": 9.050458944843327e-06,
866
+ "loss": 6.0166,
867
+ "step": 67000
868
+ },
869
+ {
870
+ "epoch": 0.55,
871
+ "learning_rate": 9.042129637341952e-06,
872
+ "loss": 6.0065,
873
+ "step": 67500
874
+ },
875
+ {
876
+ "epoch": 0.56,
877
+ "learning_rate": 9.033800329840577e-06,
878
+ "loss": 5.9989,
879
+ "step": 68000
880
+ },
881
+ {
882
+ "epoch": 0.56,
883
+ "learning_rate": 9.025471022339204e-06,
884
+ "loss": 6.0003,
885
+ "step": 68500
886
+ },
887
+ {
888
+ "epoch": 0.57,
889
+ "learning_rate": 9.017141714837829e-06,
890
+ "loss": 5.9957,
891
+ "step": 69000
892
+ },
893
+ {
894
+ "epoch": 0.57,
895
+ "learning_rate": 9.008812407336454e-06,
896
+ "loss": 5.9931,
897
+ "step": 69500
898
+ },
899
+ {
900
+ "epoch": 0.57,
901
+ "learning_rate": 9.00048309983508e-06,
902
+ "loss": 5.9921,
903
+ "step": 70000
904
+ },
905
+ {
906
+ "epoch": 0.57,
907
+ "eval_accuracy": 0.15476677622749932,
908
+ "eval_loss": 5.958353519439697,
909
+ "eval_runtime": 1726.9067,
910
+ "eval_samples_per_second": 178.56,
911
+ "eval_steps_per_second": 3.721,
912
+ "step": 70000
913
+ },
914
+ {
915
+ "epoch": 0.58,
916
+ "learning_rate": 8.992153792333706e-06,
917
+ "loss": 5.9871,
918
+ "step": 70500
919
+ },
920
+ {
921
+ "epoch": 0.58,
922
+ "learning_rate": 8.983824484832332e-06,
923
+ "loss": 5.9847,
924
+ "step": 71000
925
+ },
926
+ {
927
+ "epoch": 0.59,
928
+ "learning_rate": 8.975495177330957e-06,
929
+ "loss": 5.9822,
930
+ "step": 71500
931
+ },
932
+ {
933
+ "epoch": 0.59,
934
+ "learning_rate": 8.967165869829582e-06,
935
+ "loss": 5.9836,
936
+ "step": 72000
937
+ },
938
+ {
939
+ "epoch": 0.59,
940
+ "learning_rate": 8.958836562328209e-06,
941
+ "loss": 5.9741,
942
+ "step": 72500
943
+ },
944
+ {
945
+ "epoch": 0.6,
946
+ "learning_rate": 8.950507254826834e-06,
947
+ "loss": 5.9702,
948
+ "step": 73000
949
+ },
950
+ {
951
+ "epoch": 0.6,
952
+ "learning_rate": 8.942177947325459e-06,
953
+ "loss": 5.968,
954
+ "step": 73500
955
+ },
956
+ {
957
+ "epoch": 0.61,
958
+ "learning_rate": 8.933848639824086e-06,
959
+ "loss": 5.9635,
960
+ "step": 74000
961
+ },
962
+ {
963
+ "epoch": 0.61,
964
+ "learning_rate": 8.925519332322713e-06,
965
+ "loss": 5.9605,
966
+ "step": 74500
967
+ },
968
+ {
969
+ "epoch": 0.61,
970
+ "learning_rate": 8.917190024821338e-06,
971
+ "loss": 5.964,
972
+ "step": 75000
973
+ },
974
+ {
975
+ "epoch": 0.62,
976
+ "learning_rate": 8.908860717319963e-06,
977
+ "loss": 5.9591,
978
+ "step": 75500
979
+ },
980
+ {
981
+ "epoch": 0.62,
982
+ "learning_rate": 8.900531409818588e-06,
983
+ "loss": 5.9585,
984
+ "step": 76000
985
+ },
986
+ {
987
+ "epoch": 0.63,
988
+ "learning_rate": 8.892202102317214e-06,
989
+ "loss": 5.9523,
990
+ "step": 76500
991
+ },
992
+ {
993
+ "epoch": 0.63,
994
+ "learning_rate": 8.88387279481584e-06,
995
+ "loss": 5.9508,
996
+ "step": 77000
997
+ },
998
+ {
999
+ "epoch": 0.63,
1000
+ "learning_rate": 8.875543487314466e-06,
1001
+ "loss": 5.9423,
1002
+ "step": 77500
1003
+ },
1004
+ {
1005
+ "epoch": 0.64,
1006
+ "learning_rate": 8.867214179813091e-06,
1007
+ "loss": 5.9395,
1008
+ "step": 78000
1009
+ },
1010
+ {
1011
+ "epoch": 0.64,
1012
+ "learning_rate": 8.858884872311718e-06,
1013
+ "loss": 5.9401,
1014
+ "step": 78500
1015
+ },
1016
+ {
1017
+ "epoch": 0.65,
1018
+ "learning_rate": 8.850555564810343e-06,
1019
+ "loss": 5.9308,
1020
+ "step": 79000
1021
+ },
1022
+ {
1023
+ "epoch": 0.65,
1024
+ "learning_rate": 8.842226257308968e-06,
1025
+ "loss": 5.9314,
1026
+ "step": 79500
1027
+ },
1028
+ {
1029
+ "epoch": 0.66,
1030
+ "learning_rate": 8.833896949807593e-06,
1031
+ "loss": 5.9337,
1032
+ "step": 80000
1033
+ },
1034
+ {
1035
+ "epoch": 0.66,
1036
+ "eval_accuracy": 0.15771381455283048,
1037
+ "eval_loss": 5.892898082733154,
1038
+ "eval_runtime": 1725.7395,
1039
+ "eval_samples_per_second": 178.681,
1040
+ "eval_steps_per_second": 3.723,
1041
+ "step": 80000
1042
+ },
1043
+ {
1044
+ "epoch": 0.66,
1045
+ "learning_rate": 8.82556764230622e-06,
1046
+ "loss": 5.9274,
1047
+ "step": 80500
1048
+ },
1049
+ {
1050
+ "epoch": 0.66,
1051
+ "learning_rate": 8.817238334804844e-06,
1052
+ "loss": 5.9209,
1053
+ "step": 81000
1054
+ },
1055
+ {
1056
+ "epoch": 0.67,
1057
+ "learning_rate": 8.808909027303471e-06,
1058
+ "loss": 5.9167,
1059
+ "step": 81500
1060
+ },
1061
+ {
1062
+ "epoch": 0.67,
1063
+ "learning_rate": 8.800579719802096e-06,
1064
+ "loss": 5.9163,
1065
+ "step": 82000
1066
+ },
1067
+ {
1068
+ "epoch": 0.68,
1069
+ "learning_rate": 8.792250412300723e-06,
1070
+ "loss": 5.9106,
1071
+ "step": 82500
1072
+ },
1073
+ {
1074
+ "epoch": 0.68,
1075
+ "learning_rate": 8.783921104799348e-06,
1076
+ "loss": 5.9035,
1077
+ "step": 83000
1078
+ },
1079
+ {
1080
+ "epoch": 0.68,
1081
+ "learning_rate": 8.775591797297973e-06,
1082
+ "loss": 5.9026,
1083
+ "step": 83500
1084
+ },
1085
+ {
1086
+ "epoch": 0.69,
1087
+ "learning_rate": 8.767262489796598e-06,
1088
+ "loss": 5.897,
1089
+ "step": 84000
1090
+ },
1091
+ {
1092
+ "epoch": 0.69,
1093
+ "learning_rate": 8.758933182295224e-06,
1094
+ "loss": 5.8837,
1095
+ "step": 84500
1096
+ },
1097
+ {
1098
+ "epoch": 0.7,
1099
+ "learning_rate": 8.750603874793851e-06,
1100
+ "loss": 5.8863,
1101
+ "step": 85000
1102
+ },
1103
+ {
1104
+ "epoch": 0.7,
1105
+ "learning_rate": 8.742274567292476e-06,
1106
+ "loss": 5.8799,
1107
+ "step": 85500
1108
+ },
1109
+ {
1110
+ "epoch": 0.7,
1111
+ "learning_rate": 8.733945259791101e-06,
1112
+ "loss": 5.8787,
1113
+ "step": 86000
1114
+ },
1115
+ {
1116
+ "epoch": 0.71,
1117
+ "learning_rate": 8.725615952289728e-06,
1118
+ "loss": 5.8655,
1119
+ "step": 86500
1120
+ },
1121
+ {
1122
+ "epoch": 0.71,
1123
+ "learning_rate": 8.717286644788353e-06,
1124
+ "loss": 5.8605,
1125
+ "step": 87000
1126
+ },
1127
+ {
1128
+ "epoch": 0.72,
1129
+ "learning_rate": 8.708957337286978e-06,
1130
+ "loss": 5.864,
1131
+ "step": 87500
1132
+ },
1133
+ {
1134
+ "epoch": 0.72,
1135
+ "learning_rate": 8.700628029785605e-06,
1136
+ "loss": 5.8508,
1137
+ "step": 88000
1138
+ },
1139
+ {
1140
+ "epoch": 0.73,
1141
+ "learning_rate": 8.69229872228423e-06,
1142
+ "loss": 5.8478,
1143
+ "step": 88500
1144
+ },
1145
+ {
1146
+ "epoch": 0.73,
1147
+ "learning_rate": 8.683969414782856e-06,
1148
+ "loss": 5.8422,
1149
+ "step": 89000
1150
+ },
1151
+ {
1152
+ "epoch": 0.73,
1153
+ "learning_rate": 8.675640107281481e-06,
1154
+ "loss": 5.8289,
1155
+ "step": 89500
1156
+ },
1157
+ {
1158
+ "epoch": 0.74,
1159
+ "learning_rate": 8.667310799780106e-06,
1160
+ "loss": 5.8269,
1161
+ "step": 90000
1162
+ },
1163
+ {
1164
+ "epoch": 0.74,
1165
+ "eval_accuracy": 0.1685354441535283,
1166
+ "eval_loss": 5.765416622161865,
1167
+ "eval_runtime": 1728.0921,
1168
+ "eval_samples_per_second": 178.437,
1169
+ "eval_steps_per_second": 3.718,
1170
+ "step": 90000
1171
+ },
1172
+ {
1173
+ "epoch": 0.74,
1174
+ "learning_rate": 8.658981492278733e-06,
1175
+ "loss": 5.8188,
1176
+ "step": 90500
1177
+ },
1178
+ {
1179
+ "epoch": 0.75,
1180
+ "learning_rate": 8.650652184777358e-06,
1181
+ "loss": 5.8086,
1182
+ "step": 91000
1183
+ },
1184
+ {
1185
+ "epoch": 0.75,
1186
+ "learning_rate": 8.642322877275983e-06,
1187
+ "loss": 5.7977,
1188
+ "step": 91500
1189
+ },
1190
+ {
1191
+ "epoch": 0.75,
1192
+ "learning_rate": 8.63399356977461e-06,
1193
+ "loss": 5.796,
1194
+ "step": 92000
1195
+ },
1196
+ {
1197
+ "epoch": 0.76,
1198
+ "learning_rate": 8.625664262273236e-06,
1199
+ "loss": 5.7847,
1200
+ "step": 92500
1201
+ },
1202
+ {
1203
+ "epoch": 0.76,
1204
+ "learning_rate": 8.617334954771861e-06,
1205
+ "loss": 5.7728,
1206
+ "step": 93000
1207
+ },
1208
+ {
1209
+ "epoch": 0.77,
1210
+ "learning_rate": 8.609005647270486e-06,
1211
+ "loss": 5.7654,
1212
+ "step": 93500
1213
+ },
1214
+ {
1215
+ "epoch": 0.77,
1216
+ "learning_rate": 8.600676339769111e-06,
1217
+ "loss": 5.754,
1218
+ "step": 94000
1219
+ },
1220
+ {
1221
+ "epoch": 0.77,
1222
+ "learning_rate": 8.592347032267738e-06,
1223
+ "loss": 5.7407,
1224
+ "step": 94500
1225
+ },
1226
+ {
1227
+ "epoch": 0.78,
1228
+ "learning_rate": 8.584017724766363e-06,
1229
+ "loss": 5.7215,
1230
+ "step": 95000
1231
+ },
1232
+ {
1233
+ "epoch": 0.78,
1234
+ "learning_rate": 8.57568841726499e-06,
1235
+ "loss": 5.7266,
1236
+ "step": 95500
1237
+ },
1238
+ {
1239
+ "epoch": 0.79,
1240
+ "learning_rate": 8.567359109763615e-06,
1241
+ "loss": 5.7056,
1242
+ "step": 96000
1243
+ },
1244
+ {
1245
+ "epoch": 0.79,
1246
+ "learning_rate": 8.559029802262241e-06,
1247
+ "loss": 5.686,
1248
+ "step": 96500
1249
+ },
1250
+ {
1251
+ "epoch": 0.79,
1252
+ "learning_rate": 8.550700494760866e-06,
1253
+ "loss": 5.6728,
1254
+ "step": 97000
1255
+ },
1256
+ {
1257
+ "epoch": 0.8,
1258
+ "learning_rate": 8.542371187259491e-06,
1259
+ "loss": 5.6472,
1260
+ "step": 97500
1261
+ },
1262
+ {
1263
+ "epoch": 0.8,
1264
+ "learning_rate": 8.534041879758118e-06,
1265
+ "loss": 5.6234,
1266
+ "step": 98000
1267
+ },
1268
+ {
1269
+ "epoch": 0.81,
1270
+ "learning_rate": 8.525712572256743e-06,
1271
+ "loss": 5.6006,
1272
+ "step": 98500
1273
+ },
1274
+ {
1275
+ "epoch": 0.81,
1276
+ "learning_rate": 8.517383264755368e-06,
1277
+ "loss": 5.5717,
1278
+ "step": 99000
1279
+ },
1280
+ {
1281
+ "epoch": 0.82,
1282
+ "learning_rate": 8.509053957253995e-06,
1283
+ "loss": 5.5411,
1284
+ "step": 99500
1285
+ },
1286
+ {
1287
+ "epoch": 0.82,
1288
+ "learning_rate": 8.500724649752622e-06,
1289
+ "loss": 5.5053,
1290
+ "step": 100000
1291
+ },
1292
+ {
1293
+ "epoch": 0.82,
1294
+ "eval_accuracy": 0.2274401366453315,
1295
+ "eval_loss": 5.321637153625488,
1296
+ "eval_runtime": 1731.0741,
1297
+ "eval_samples_per_second": 178.13,
1298
+ "eval_steps_per_second": 3.712,
1299
+ "step": 100000
1300
+ },
1301
+ {
1302
+ "epoch": 0.82,
1303
+ "learning_rate": 8.492395342251247e-06,
1304
+ "loss": 5.4662,
1305
+ "step": 100500
1306
+ },
1307
+ {
1308
+ "epoch": 0.83,
1309
+ "learning_rate": 8.484066034749872e-06,
1310
+ "loss": 5.4259,
1311
+ "step": 101000
1312
+ },
1313
+ {
1314
+ "epoch": 0.83,
1315
+ "learning_rate": 8.475736727248497e-06,
1316
+ "loss": 5.3922,
1317
+ "step": 101500
1318
+ },
1319
+ {
1320
+ "epoch": 0.84,
1321
+ "learning_rate": 8.467407419747123e-06,
1322
+ "loss": 5.3559,
1323
+ "step": 102000
1324
+ },
1325
+ {
1326
+ "epoch": 0.84,
1327
+ "learning_rate": 8.459078112245748e-06,
1328
+ "loss": 5.3287,
1329
+ "step": 102500
1330
+ },
1331
+ {
1332
+ "epoch": 0.84,
1333
+ "learning_rate": 8.450748804744375e-06,
1334
+ "loss": 5.2922,
1335
+ "step": 103000
1336
+ },
1337
+ {
1338
+ "epoch": 0.85,
1339
+ "learning_rate": 8.442419497243e-06,
1340
+ "loss": 5.2612,
1341
+ "step": 103500
1342
+ },
1343
+ {
1344
+ "epoch": 0.85,
1345
+ "learning_rate": 8.434090189741627e-06,
1346
+ "loss": 5.2302,
1347
+ "step": 104000
1348
+ },
1349
+ {
1350
+ "epoch": 0.86,
1351
+ "learning_rate": 8.425760882240252e-06,
1352
+ "loss": 5.2009,
1353
+ "step": 104500
1354
+ },
1355
+ {
1356
+ "epoch": 0.86,
1357
+ "learning_rate": 8.417431574738877e-06,
1358
+ "loss": 5.1624,
1359
+ "step": 105000
1360
+ },
1361
+ {
1362
+ "epoch": 0.86,
1363
+ "learning_rate": 8.409102267237502e-06,
1364
+ "loss": 5.1332,
1365
+ "step": 105500
1366
+ },
1367
+ {
1368
+ "epoch": 0.87,
1369
+ "learning_rate": 8.400772959736128e-06,
1370
+ "loss": 5.1129,
1371
+ "step": 106000
1372
+ },
1373
+ {
1374
+ "epoch": 0.87,
1375
+ "learning_rate": 8.392443652234753e-06,
1376
+ "loss": 5.0846,
1377
+ "step": 106500
1378
+ },
1379
+ {
1380
+ "epoch": 0.88,
1381
+ "learning_rate": 8.38411434473338e-06,
1382
+ "loss": 5.0591,
1383
+ "step": 107000
1384
+ },
1385
+ {
1386
+ "epoch": 0.88,
1387
+ "learning_rate": 8.375785037232005e-06,
1388
+ "loss": 5.0155,
1389
+ "step": 107500
1390
+ },
1391
+ {
1392
+ "epoch": 0.88,
1393
+ "learning_rate": 8.367455729730632e-06,
1394
+ "loss": 4.9745,
1395
+ "step": 108000
1396
+ },
1397
+ {
1398
+ "epoch": 0.89,
1399
+ "learning_rate": 8.359126422229257e-06,
1400
+ "loss": 4.9379,
1401
+ "step": 108500
1402
+ },
1403
+ {
1404
+ "epoch": 0.89,
1405
+ "learning_rate": 8.350797114727882e-06,
1406
+ "loss": 4.8971,
1407
+ "step": 109000
1408
+ },
1409
+ {
1410
+ "epoch": 0.9,
1411
+ "learning_rate": 8.342467807226507e-06,
1412
+ "loss": 4.8627,
1413
+ "step": 109500
1414
+ },
1415
+ {
1416
+ "epoch": 0.9,
1417
+ "learning_rate": 8.334138499725133e-06,
1418
+ "loss": 4.8237,
1419
+ "step": 110000
1420
+ },
1421
+ {
1422
+ "epoch": 0.9,
1423
+ "eval_accuracy": 0.3053704435038631,
1424
+ "eval_loss": 4.63502836227417,
1425
+ "eval_runtime": 1724.1947,
1426
+ "eval_samples_per_second": 178.841,
1427
+ "eval_steps_per_second": 3.726,
1428
+ "step": 110000
1429
+ },
1430
+ {
1431
+ "epoch": 0.91,
1432
+ "learning_rate": 8.32580919222376e-06,
1433
+ "loss": 4.7891,
1434
+ "step": 110500
1435
+ },
1436
+ {
1437
+ "epoch": 0.91,
1438
+ "learning_rate": 8.317479884722385e-06,
1439
+ "loss": 4.7584,
1440
+ "step": 111000
1441
+ },
1442
+ {
1443
+ "epoch": 0.91,
1444
+ "learning_rate": 8.30915057722101e-06,
1445
+ "loss": 4.736,
1446
+ "step": 111500
1447
+ },
1448
+ {
1449
+ "epoch": 0.92,
1450
+ "learning_rate": 8.300821269719637e-06,
1451
+ "loss": 4.7001,
1452
+ "step": 112000
1453
+ },
1454
+ {
1455
+ "epoch": 0.92,
1456
+ "learning_rate": 8.292491962218262e-06,
1457
+ "loss": 4.6641,
1458
+ "step": 112500
1459
+ },
1460
+ {
1461
+ "epoch": 0.93,
1462
+ "learning_rate": 8.284162654716887e-06,
1463
+ "loss": 4.6343,
1464
+ "step": 113000
1465
+ },
1466
+ {
1467
+ "epoch": 0.93,
1468
+ "learning_rate": 8.275833347215514e-06,
1469
+ "loss": 4.6078,
1470
+ "step": 113500
1471
+ },
1472
+ {
1473
+ "epoch": 0.93,
1474
+ "learning_rate": 8.267504039714139e-06,
1475
+ "loss": 4.5865,
1476
+ "step": 114000
1477
+ },
1478
+ {
1479
+ "epoch": 0.94,
1480
+ "learning_rate": 8.259174732212765e-06,
1481
+ "loss": 4.5528,
1482
+ "step": 114500
1483
+ },
1484
+ {
1485
+ "epoch": 0.94,
1486
+ "learning_rate": 8.25084542471139e-06,
1487
+ "loss": 4.5327,
1488
+ "step": 115000
1489
+ },
1490
+ {
1491
+ "epoch": 0.95,
1492
+ "learning_rate": 8.242516117210015e-06,
1493
+ "loss": 4.51,
1494
+ "step": 115500
1495
+ },
1496
+ {
1497
+ "epoch": 0.95,
1498
+ "learning_rate": 8.234186809708642e-06,
1499
+ "loss": 4.4905,
1500
+ "step": 116000
1501
+ },
1502
+ {
1503
+ "epoch": 0.95,
1504
+ "learning_rate": 8.225857502207267e-06,
1505
+ "loss": 4.4668,
1506
+ "step": 116500
1507
+ },
1508
+ {
1509
+ "epoch": 0.96,
1510
+ "learning_rate": 8.217528194705892e-06,
1511
+ "loss": 4.4387,
1512
+ "step": 117000
1513
+ },
1514
+ {
1515
+ "epoch": 0.96,
1516
+ "learning_rate": 8.209198887204519e-06,
1517
+ "loss": 4.4218,
1518
+ "step": 117500
1519
+ },
1520
+ {
1521
+ "epoch": 0.97,
1522
+ "learning_rate": 8.200869579703145e-06,
1523
+ "loss": 4.3992,
1524
+ "step": 118000
1525
+ },
1526
+ {
1527
+ "epoch": 0.97,
1528
+ "learning_rate": 8.19254027220177e-06,
1529
+ "loss": 4.3818,
1530
+ "step": 118500
1531
+ },
1532
+ {
1533
+ "epoch": 0.97,
1534
+ "learning_rate": 8.184210964700395e-06,
1535
+ "loss": 4.3741,
1536
+ "step": 119000
1537
+ },
1538
+ {
1539
+ "epoch": 0.98,
1540
+ "learning_rate": 8.17588165719902e-06,
1541
+ "loss": 4.3455,
1542
+ "step": 119500
1543
+ },
1544
+ {
1545
+ "epoch": 0.98,
1546
+ "learning_rate": 8.167552349697647e-06,
1547
+ "loss": 4.3302,
1548
+ "step": 120000
1549
+ },
1550
+ {
1551
+ "epoch": 0.98,
1552
+ "eval_accuracy": 0.34964174989734176,
1553
+ "eval_loss": 4.172255039215088,
1554
+ "eval_runtime": 1724.4645,
1555
+ "eval_samples_per_second": 178.813,
1556
+ "eval_steps_per_second": 3.726,
1557
+ "step": 120000
1558
+ },
1559
+ {
1560
+ "epoch": 0.99,
1561
+ "learning_rate": 8.159223042196272e-06,
1562
+ "loss": 4.3019,
1563
+ "step": 120500
1564
+ },
1565
+ {
1566
+ "epoch": 0.99,
1567
+ "learning_rate": 8.150893734694899e-06,
1568
+ "loss": 4.3005,
1569
+ "step": 121000
1570
+ },
1571
+ {
1572
+ "epoch": 1.0,
1573
+ "learning_rate": 8.142564427193524e-06,
1574
+ "loss": 4.2779,
1575
+ "step": 121500
1576
+ },
1577
+ {
1578
+ "epoch": 1.0,
1579
+ "learning_rate": 8.13423511969215e-06,
1580
+ "loss": 4.2619,
1581
+ "step": 122000
1582
+ },
1583
+ {
1584
+ "epoch": 1.0,
1585
+ "learning_rate": 8.125905812190775e-06,
1586
+ "loss": 4.247,
1587
+ "step": 122500
1588
+ },
1589
+ {
1590
+ "epoch": 1.01,
1591
+ "learning_rate": 8.1175765046894e-06,
1592
+ "loss": 4.2294,
1593
+ "step": 123000
1594
+ },
1595
+ {
1596
+ "epoch": 1.01,
1597
+ "learning_rate": 8.109247197188025e-06,
1598
+ "loss": 4.212,
1599
+ "step": 123500
1600
+ },
1601
+ {
1602
+ "epoch": 1.02,
1603
+ "learning_rate": 8.100917889686652e-06,
1604
+ "loss": 4.2155,
1605
+ "step": 124000
1606
+ },
1607
+ {
1608
+ "epoch": 1.02,
1609
+ "learning_rate": 8.092588582185277e-06,
1610
+ "loss": 4.1914,
1611
+ "step": 124500
1612
+ },
1613
+ {
1614
+ "epoch": 1.02,
1615
+ "learning_rate": 8.084259274683904e-06,
1616
+ "loss": 4.1819,
1617
+ "step": 125000
1618
+ },
1619
+ {
1620
+ "epoch": 1.03,
1621
+ "learning_rate": 8.075929967182529e-06,
1622
+ "loss": 4.1672,
1623
+ "step": 125500
1624
+ },
1625
+ {
1626
+ "epoch": 1.03,
1627
+ "learning_rate": 8.067600659681156e-06,
1628
+ "loss": 4.1501,
1629
+ "step": 126000
1630
+ },
1631
+ {
1632
+ "epoch": 1.04,
1633
+ "learning_rate": 8.05927135217978e-06,
1634
+ "loss": 4.1457,
1635
+ "step": 126500
1636
+ },
1637
+ {
1638
+ "epoch": 1.04,
1639
+ "learning_rate": 8.050942044678406e-06,
1640
+ "loss": 4.1164,
1641
+ "step": 127000
1642
+ },
1643
+ {
1644
+ "epoch": 1.04,
1645
+ "learning_rate": 8.04261273717703e-06,
1646
+ "loss": 4.117,
1647
+ "step": 127500
1648
+ },
1649
+ {
1650
+ "epoch": 1.05,
1651
+ "learning_rate": 8.034283429675657e-06,
1652
+ "loss": 4.1062,
1653
+ "step": 128000
1654
+ },
1655
+ {
1656
+ "epoch": 1.05,
1657
+ "learning_rate": 8.025954122174284e-06,
1658
+ "loss": 4.0928,
1659
+ "step": 128500
1660
+ },
1661
+ {
1662
+ "epoch": 1.06,
1663
+ "learning_rate": 8.017624814672909e-06,
1664
+ "loss": 4.0904,
1665
+ "step": 129000
1666
+ },
1667
+ {
1668
+ "epoch": 1.06,
1669
+ "learning_rate": 8.009295507171534e-06,
1670
+ "loss": 4.0701,
1671
+ "step": 129500
1672
+ },
1673
+ {
1674
+ "epoch": 1.07,
1675
+ "learning_rate": 8.00096619967016e-06,
1676
+ "loss": 4.0721,
1677
+ "step": 130000
1678
+ },
1679
+ {
1680
+ "epoch": 1.07,
1681
+ "eval_accuracy": 0.3740549523966965,
1682
+ "eval_loss": 3.9373106956481934,
1683
+ "eval_runtime": 1726.1642,
1684
+ "eval_samples_per_second": 178.637,
1685
+ "eval_steps_per_second": 3.722,
1686
+ "step": 130000
1687
+ },
1688
+ {
1689
+ "epoch": 1.07,
1690
+ "learning_rate": 7.992636892168786e-06,
1691
+ "loss": 4.0592,
1692
+ "step": 130500
1693
+ },
1694
+ {
1695
+ "epoch": 1.07,
1696
+ "learning_rate": 7.98430758466741e-06,
1697
+ "loss": 4.0396,
1698
+ "step": 131000
1699
+ },
1700
+ {
1701
+ "epoch": 1.08,
1702
+ "learning_rate": 7.975978277166037e-06,
1703
+ "loss": 4.0345,
1704
+ "step": 131500
1705
+ },
1706
+ {
1707
+ "epoch": 1.08,
1708
+ "learning_rate": 7.967648969664662e-06,
1709
+ "loss": 4.0213,
1710
+ "step": 132000
1711
+ },
1712
+ {
1713
+ "epoch": 1.09,
1714
+ "learning_rate": 7.959319662163289e-06,
1715
+ "loss": 4.0221,
1716
+ "step": 132500
1717
+ },
1718
+ {
1719
+ "epoch": 1.09,
1720
+ "learning_rate": 7.950990354661914e-06,
1721
+ "loss": 4.012,
1722
+ "step": 133000
1723
+ },
1724
+ {
1725
+ "epoch": 1.09,
1726
+ "learning_rate": 7.942661047160539e-06,
1727
+ "loss": 3.9936,
1728
+ "step": 133500
1729
+ },
1730
+ {
1731
+ "epoch": 1.1,
1732
+ "learning_rate": 7.934331739659166e-06,
1733
+ "loss": 3.9952,
1734
+ "step": 134000
1735
+ },
1736
+ {
1737
+ "epoch": 1.1,
1738
+ "learning_rate": 7.92600243215779e-06,
1739
+ "loss": 3.9885,
1740
+ "step": 134500
1741
+ },
1742
+ {
1743
+ "epoch": 1.11,
1744
+ "learning_rate": 7.917673124656416e-06,
1745
+ "loss": 3.9682,
1746
+ "step": 135000
1747
+ },
1748
+ {
1749
+ "epoch": 1.11,
1750
+ "learning_rate": 7.909343817155042e-06,
1751
+ "loss": 3.968,
1752
+ "step": 135500
1753
+ },
1754
+ {
1755
+ "epoch": 1.11,
1756
+ "learning_rate": 7.901014509653669e-06,
1757
+ "loss": 3.9526,
1758
+ "step": 136000
1759
+ },
1760
+ {
1761
+ "epoch": 1.12,
1762
+ "learning_rate": 7.892685202152294e-06,
1763
+ "loss": 3.9439,
1764
+ "step": 136500
1765
+ },
1766
+ {
1767
+ "epoch": 1.12,
1768
+ "learning_rate": 7.884355894650919e-06,
1769
+ "loss": 3.9409,
1770
+ "step": 137000
1771
+ },
1772
+ {
1773
+ "epoch": 1.13,
1774
+ "learning_rate": 7.876026587149544e-06,
1775
+ "loss": 3.932,
1776
+ "step": 137500
1777
+ },
1778
+ {
1779
+ "epoch": 1.13,
1780
+ "learning_rate": 7.86769727964817e-06,
1781
+ "loss": 3.9288,
1782
+ "step": 138000
1783
+ },
1784
+ {
1785
+ "epoch": 1.13,
1786
+ "learning_rate": 7.859367972146796e-06,
1787
+ "loss": 3.9232,
1788
+ "step": 138500
1789
+ },
1790
+ {
1791
+ "epoch": 1.14,
1792
+ "learning_rate": 7.851038664645423e-06,
1793
+ "loss": 3.9049,
1794
+ "step": 139000
1795
+ },
1796
+ {
1797
+ "epoch": 1.14,
1798
+ "learning_rate": 7.842709357144048e-06,
1799
+ "loss": 3.9075,
1800
+ "step": 139500
1801
+ },
1802
+ {
1803
+ "epoch": 1.15,
1804
+ "learning_rate": 7.834380049642674e-06,
1805
+ "loss": 3.8896,
1806
+ "step": 140000
1807
+ },
1808
+ {
1809
+ "epoch": 1.15,
1810
+ "eval_accuracy": 0.3903213950637094,
1811
+ "eval_loss": 3.776296377182007,
1812
+ "eval_runtime": 1723.9466,
1813
+ "eval_samples_per_second": 178.866,
1814
+ "eval_steps_per_second": 3.727,
1815
+ "step": 140000
1816
+ },
1817
+ {
1818
+ "epoch": 1.15,
1819
+ "learning_rate": 7.8260507421413e-06,
1820
+ "loss": 3.8844,
1821
+ "step": 140500
1822
+ },
1823
+ {
1824
+ "epoch": 1.16,
1825
+ "learning_rate": 7.817721434639924e-06,
1826
+ "loss": 3.8857,
1827
+ "step": 141000
1828
+ },
1829
+ {
1830
+ "epoch": 1.16,
1831
+ "learning_rate": 7.809392127138551e-06,
1832
+ "loss": 3.8744,
1833
+ "step": 141500
1834
+ },
1835
+ {
1836
+ "epoch": 1.16,
1837
+ "learning_rate": 7.801062819637176e-06,
1838
+ "loss": 3.8706,
1839
+ "step": 142000
1840
+ },
1841
+ {
1842
+ "epoch": 1.17,
1843
+ "learning_rate": 7.792733512135801e-06,
1844
+ "loss": 3.8717,
1845
+ "step": 142500
1846
+ },
1847
+ {
1848
+ "epoch": 1.17,
1849
+ "learning_rate": 7.784404204634428e-06,
1850
+ "loss": 3.8542,
1851
+ "step": 143000
1852
+ },
1853
+ {
1854
+ "epoch": 1.18,
1855
+ "learning_rate": 7.776074897133054e-06,
1856
+ "loss": 3.8553,
1857
+ "step": 143500
1858
+ },
1859
+ {
1860
+ "epoch": 1.18,
1861
+ "learning_rate": 7.76774558963168e-06,
1862
+ "loss": 3.8442,
1863
+ "step": 144000
1864
+ },
1865
+ {
1866
+ "epoch": 1.18,
1867
+ "learning_rate": 7.759416282130304e-06,
1868
+ "loss": 3.8403,
1869
+ "step": 144500
1870
+ },
1871
+ {
1872
+ "epoch": 1.19,
1873
+ "learning_rate": 7.75108697462893e-06,
1874
+ "loss": 3.8396,
1875
+ "step": 145000
1876
+ },
1877
+ {
1878
+ "epoch": 1.19,
1879
+ "learning_rate": 7.742757667127556e-06,
1880
+ "loss": 3.8303,
1881
+ "step": 145500
1882
+ },
1883
+ {
1884
+ "epoch": 1.2,
1885
+ "learning_rate": 7.734428359626181e-06,
1886
+ "loss": 3.8179,
1887
+ "step": 146000
1888
+ },
1889
+ {
1890
+ "epoch": 1.2,
1891
+ "learning_rate": 7.726099052124808e-06,
1892
+ "loss": 3.8146,
1893
+ "step": 146500
1894
+ },
1895
+ {
1896
+ "epoch": 1.2,
1897
+ "learning_rate": 7.717769744623433e-06,
1898
+ "loss": 3.8204,
1899
+ "step": 147000
1900
+ },
1901
+ {
1902
+ "epoch": 1.21,
1903
+ "learning_rate": 7.70944043712206e-06,
1904
+ "loss": 3.8103,
1905
+ "step": 147500
1906
+ },
1907
+ {
1908
+ "epoch": 1.21,
1909
+ "learning_rate": 7.701111129620684e-06,
1910
+ "loss": 3.7987,
1911
+ "step": 148000
1912
+ },
1913
+ {
1914
+ "epoch": 1.22,
1915
+ "learning_rate": 7.69278182211931e-06,
1916
+ "loss": 3.7987,
1917
+ "step": 148500
1918
+ },
1919
+ {
1920
+ "epoch": 1.22,
1921
+ "learning_rate": 7.684452514617934e-06,
1922
+ "loss": 3.7856,
1923
+ "step": 149000
1924
+ },
1925
+ {
1926
+ "epoch": 1.22,
1927
+ "learning_rate": 7.676123207116561e-06,
1928
+ "loss": 3.7868,
1929
+ "step": 149500
1930
+ },
1931
+ {
1932
+ "epoch": 1.23,
1933
+ "learning_rate": 7.667793899615186e-06,
1934
+ "loss": 3.7842,
1935
+ "step": 150000
1936
+ },
1937
+ {
1938
+ "epoch": 1.23,
1939
+ "eval_accuracy": 0.40179710200093327,
1940
+ "eval_loss": 3.6628007888793945,
1941
+ "eval_runtime": 1725.8659,
1942
+ "eval_samples_per_second": 178.667,
1943
+ "eval_steps_per_second": 3.723,
1944
+ "step": 150000
1945
+ },
1946
+ {
1947
+ "epoch": 1.23,
1948
+ "learning_rate": 7.659464592113813e-06,
1949
+ "loss": 3.7749,
1950
+ "step": 150500
1951
+ },
1952
+ {
1953
+ "epoch": 1.24,
1954
+ "learning_rate": 7.651135284612438e-06,
1955
+ "loss": 3.7717,
1956
+ "step": 151000
1957
+ },
1958
+ {
1959
+ "epoch": 1.24,
1960
+ "learning_rate": 7.642805977111065e-06,
1961
+ "loss": 3.7711,
1962
+ "step": 151500
1963
+ },
1964
+ {
1965
+ "epoch": 1.25,
1966
+ "learning_rate": 7.63447666960969e-06,
1967
+ "loss": 3.7649,
1968
+ "step": 152000
1969
+ },
1970
+ {
1971
+ "epoch": 1.25,
1972
+ "learning_rate": 7.6261473621083145e-06,
1973
+ "loss": 3.7623,
1974
+ "step": 152500
1975
+ },
1976
+ {
1977
+ "epoch": 1.25,
1978
+ "learning_rate": 7.61781805460694e-06,
1979
+ "loss": 3.7533,
1980
+ "step": 153000
1981
+ },
1982
+ {
1983
+ "epoch": 1.26,
1984
+ "learning_rate": 7.609488747105567e-06,
1985
+ "loss": 3.7552,
1986
+ "step": 153500
1987
+ },
1988
+ {
1989
+ "epoch": 1.26,
1990
+ "learning_rate": 7.601159439604192e-06,
1991
+ "loss": 3.7439,
1992
+ "step": 154000
1993
+ },
1994
+ {
1995
+ "epoch": 1.27,
1996
+ "learning_rate": 7.592830132102817e-06,
1997
+ "loss": 3.738,
1998
+ "step": 154500
1999
+ },
2000
+ {
2001
+ "epoch": 1.27,
2002
+ "learning_rate": 7.584500824601443e-06,
2003
+ "loss": 3.7332,
2004
+ "step": 155000
2005
+ },
2006
+ {
2007
+ "epoch": 1.27,
2008
+ "learning_rate": 7.57617151710007e-06,
2009
+ "loss": 3.7265,
2010
+ "step": 155500
2011
+ },
2012
+ {
2013
+ "epoch": 1.28,
2014
+ "learning_rate": 7.567842209598695e-06,
2015
+ "loss": 3.7252,
2016
+ "step": 156000
2017
+ },
2018
+ {
2019
+ "epoch": 1.28,
2020
+ "learning_rate": 7.5595129020973205e-06,
2021
+ "loss": 3.7141,
2022
+ "step": 156500
2023
+ },
2024
+ {
2025
+ "epoch": 1.29,
2026
+ "learning_rate": 7.5511835945959455e-06,
2027
+ "loss": 3.7048,
2028
+ "step": 157000
2029
+ },
2030
+ {
2031
+ "epoch": 1.29,
2032
+ "learning_rate": 7.542854287094572e-06,
2033
+ "loss": 3.7097,
2034
+ "step": 157500
2035
+ },
2036
+ {
2037
+ "epoch": 1.29,
2038
+ "learning_rate": 7.534524979593197e-06,
2039
+ "loss": 3.709,
2040
+ "step": 158000
2041
+ },
2042
+ {
2043
+ "epoch": 1.3,
2044
+ "learning_rate": 7.526195672091823e-06,
2045
+ "loss": 3.7049,
2046
+ "step": 158500
2047
+ },
2048
+ {
2049
+ "epoch": 1.3,
2050
+ "learning_rate": 7.517866364590448e-06,
2051
+ "loss": 3.6925,
2052
+ "step": 159000
2053
+ },
2054
+ {
2055
+ "epoch": 1.31,
2056
+ "learning_rate": 7.509537057089075e-06,
2057
+ "loss": 3.6936,
2058
+ "step": 159500
2059
+ },
2060
+ {
2061
+ "epoch": 1.31,
2062
+ "learning_rate": 7.5012077495877e-06,
2063
+ "loss": 3.6871,
2064
+ "step": 160000
2065
+ },
2066
+ {
2067
+ "epoch": 1.31,
2068
+ "eval_accuracy": 0.41109455601253003,
2069
+ "eval_loss": 3.5734403133392334,
2070
+ "eval_runtime": 1726.4499,
2071
+ "eval_samples_per_second": 178.607,
2072
+ "eval_steps_per_second": 3.722,
2073
+ "step": 160000
2074
+ },
2075
+ {
2076
+ "epoch": 1.31,
2077
+ "learning_rate": 7.492878442086326e-06,
2078
+ "loss": 3.6833,
2079
+ "step": 160500
2080
+ },
2081
+ {
2082
+ "epoch": 1.32,
2083
+ "learning_rate": 7.484549134584951e-06,
2084
+ "loss": 3.6789,
2085
+ "step": 161000
2086
+ },
2087
+ {
2088
+ "epoch": 1.32,
2089
+ "learning_rate": 7.476219827083577e-06,
2090
+ "loss": 3.6832,
2091
+ "step": 161500
2092
+ },
2093
+ {
2094
+ "epoch": 1.33,
2095
+ "learning_rate": 7.467890519582202e-06,
2096
+ "loss": 3.6663,
2097
+ "step": 162000
2098
+ },
2099
+ {
2100
+ "epoch": 1.33,
2101
+ "learning_rate": 7.459561212080828e-06,
2102
+ "loss": 3.6736,
2103
+ "step": 162500
2104
+ },
2105
+ {
2106
+ "epoch": 1.34,
2107
+ "learning_rate": 7.451231904579453e-06,
2108
+ "loss": 3.6681,
2109
+ "step": 163000
2110
+ },
2111
+ {
2112
+ "epoch": 1.34,
2113
+ "learning_rate": 7.44290259707808e-06,
2114
+ "loss": 3.6638,
2115
+ "step": 163500
2116
+ },
2117
+ {
2118
+ "epoch": 1.34,
2119
+ "learning_rate": 7.434573289576706e-06,
2120
+ "loss": 3.6573,
2121
+ "step": 164000
2122
+ },
2123
+ {
2124
+ "epoch": 1.35,
2125
+ "learning_rate": 7.426243982075331e-06,
2126
+ "loss": 3.6478,
2127
+ "step": 164500
2128
+ },
2129
+ {
2130
+ "epoch": 1.35,
2131
+ "learning_rate": 7.417914674573956e-06,
2132
+ "loss": 3.6517,
2133
+ "step": 165000
2134
+ },
2135
+ {
2136
+ "epoch": 1.36,
2137
+ "learning_rate": 7.409585367072582e-06,
2138
+ "loss": 3.6423,
2139
+ "step": 165500
2140
+ },
2141
+ {
2142
+ "epoch": 1.36,
2143
+ "learning_rate": 7.401256059571208e-06,
2144
+ "loss": 3.6381,
2145
+ "step": 166000
2146
+ },
2147
+ {
2148
+ "epoch": 1.36,
2149
+ "learning_rate": 7.392926752069833e-06,
2150
+ "loss": 3.6294,
2151
+ "step": 166500
2152
+ },
2153
+ {
2154
+ "epoch": 1.37,
2155
+ "learning_rate": 7.384597444568459e-06,
2156
+ "loss": 3.6372,
2157
+ "step": 167000
2158
+ },
2159
+ {
2160
+ "epoch": 1.37,
2161
+ "learning_rate": 7.376268137067085e-06,
2162
+ "loss": 3.632,
2163
+ "step": 167500
2164
+ },
2165
+ {
2166
+ "epoch": 1.38,
2167
+ "learning_rate": 7.367938829565711e-06,
2168
+ "loss": 3.6243,
2169
+ "step": 168000
2170
+ },
2171
+ {
2172
+ "epoch": 1.38,
2173
+ "learning_rate": 7.359609522064336e-06,
2174
+ "loss": 3.6227,
2175
+ "step": 168500
2176
+ },
2177
+ {
2178
+ "epoch": 1.38,
2179
+ "learning_rate": 7.351280214562962e-06,
2180
+ "loss": 3.6154,
2181
+ "step": 169000
2182
+ },
2183
+ {
2184
+ "epoch": 1.39,
2185
+ "learning_rate": 7.3429509070615875e-06,
2186
+ "loss": 3.613,
2187
+ "step": 169500
2188
+ },
2189
+ {
2190
+ "epoch": 1.39,
2191
+ "learning_rate": 7.334621599560213e-06,
2192
+ "loss": 3.6099,
2193
+ "step": 170000
2194
+ },
2195
+ {
2196
+ "epoch": 1.39,
2197
+ "eval_accuracy": 0.4187936750226971,
2198
+ "eval_loss": 3.4986298084259033,
2199
+ "eval_runtime": 1725.7302,
2200
+ "eval_samples_per_second": 178.681,
2201
+ "eval_steps_per_second": 3.723,
2202
+ "step": 170000
2203
+ },
2204
+ {
2205
+ "epoch": 1.4,
2206
+ "learning_rate": 7.326292292058838e-06,
2207
+ "loss": 3.6011,
2208
+ "step": 170500
2209
+ },
2210
+ {
2211
+ "epoch": 1.4,
2212
+ "learning_rate": 7.317962984557464e-06,
2213
+ "loss": 3.601,
2214
+ "step": 171000
2215
+ },
2216
+ {
2217
+ "epoch": 1.41,
2218
+ "learning_rate": 7.309633677056091e-06,
2219
+ "loss": 3.603,
2220
+ "step": 171500
2221
+ },
2222
+ {
2223
+ "epoch": 1.41,
2224
+ "learning_rate": 7.301304369554716e-06,
2225
+ "loss": 3.5999,
2226
+ "step": 172000
2227
+ },
2228
+ {
2229
+ "epoch": 1.41,
2230
+ "learning_rate": 7.292975062053341e-06,
2231
+ "loss": 3.5966,
2232
+ "step": 172500
2233
+ },
2234
+ {
2235
+ "epoch": 1.42,
2236
+ "learning_rate": 7.284645754551967e-06,
2237
+ "loss": 3.5932,
2238
+ "step": 173000
2239
+ },
2240
+ {
2241
+ "epoch": 1.42,
2242
+ "learning_rate": 7.2763164470505934e-06,
2243
+ "loss": 3.5929,
2244
+ "step": 173500
2245
+ },
2246
+ {
2247
+ "epoch": 1.43,
2248
+ "learning_rate": 7.2679871395492184e-06,
2249
+ "loss": 3.5886,
2250
+ "step": 174000
2251
+ },
2252
+ {
2253
+ "epoch": 1.43,
2254
+ "learning_rate": 7.259657832047844e-06,
2255
+ "loss": 3.5809,
2256
+ "step": 174500
2257
+ },
2258
+ {
2259
+ "epoch": 1.43,
2260
+ "learning_rate": 7.251328524546469e-06,
2261
+ "loss": 3.5818,
2262
+ "step": 175000
2263
+ },
2264
+ {
2265
+ "epoch": 1.44,
2266
+ "learning_rate": 7.242999217045096e-06,
2267
+ "loss": 3.573,
2268
+ "step": 175500
2269
+ },
2270
+ {
2271
+ "epoch": 1.44,
2272
+ "learning_rate": 7.234669909543721e-06,
2273
+ "loss": 3.577,
2274
+ "step": 176000
2275
+ },
2276
+ {
2277
+ "epoch": 1.45,
2278
+ "learning_rate": 7.226340602042347e-06,
2279
+ "loss": 3.5687,
2280
+ "step": 176500
2281
+ },
2282
+ {
2283
+ "epoch": 1.45,
2284
+ "learning_rate": 7.218011294540972e-06,
2285
+ "loss": 3.5677,
2286
+ "step": 177000
2287
+ },
2288
+ {
2289
+ "epoch": 1.45,
2290
+ "learning_rate": 7.2096819870395985e-06,
2291
+ "loss": 3.5615,
2292
+ "step": 177500
2293
+ },
2294
+ {
2295
+ "epoch": 1.46,
2296
+ "learning_rate": 7.2013526795382235e-06,
2297
+ "loss": 3.5601,
2298
+ "step": 178000
2299
+ },
2300
+ {
2301
+ "epoch": 1.46,
2302
+ "learning_rate": 7.193023372036849e-06,
2303
+ "loss": 3.555,
2304
+ "step": 178500
2305
+ },
2306
+ {
2307
+ "epoch": 1.47,
2308
+ "learning_rate": 7.184694064535474e-06,
2309
+ "loss": 3.5514,
2310
+ "step": 179000
2311
+ },
2312
+ {
2313
+ "epoch": 1.47,
2314
+ "learning_rate": 7.176364757034101e-06,
2315
+ "loss": 3.5523,
2316
+ "step": 179500
2317
+ },
2318
+ {
2319
+ "epoch": 1.47,
2320
+ "learning_rate": 7.168035449532726e-06,
2321
+ "loss": 3.5585,
2322
+ "step": 180000
2323
+ },
2324
+ {
2325
+ "epoch": 1.47,
2326
+ "eval_accuracy": 0.4258632688973274,
2327
+ "eval_loss": 3.4324440956115723,
2328
+ "eval_runtime": 1723.9339,
2329
+ "eval_samples_per_second": 178.868,
2330
+ "eval_steps_per_second": 3.727,
2331
+ "step": 180000
2332
+ },
2333
+ {
2334
+ "epoch": 1.48,
2335
+ "learning_rate": 7.159706142031352e-06,
2336
+ "loss": 3.5419,
2337
+ "step": 180500
2338
+ },
2339
+ {
2340
+ "epoch": 1.48,
2341
+ "learning_rate": 7.151376834529977e-06,
2342
+ "loss": 3.5335,
2343
+ "step": 181000
2344
+ },
2345
+ {
2346
+ "epoch": 1.49,
2347
+ "learning_rate": 7.143047527028604e-06,
2348
+ "loss": 3.5335,
2349
+ "step": 181500
2350
+ },
2351
+ {
2352
+ "epoch": 1.49,
2353
+ "learning_rate": 7.1347182195272295e-06,
2354
+ "loss": 3.5402,
2355
+ "step": 182000
2356
+ },
2357
+ {
2358
+ "epoch": 1.5,
2359
+ "learning_rate": 7.1263889120258545e-06,
2360
+ "loss": 3.5347,
2361
+ "step": 182500
2362
+ },
2363
+ {
2364
+ "epoch": 1.5,
2365
+ "learning_rate": 7.118059604524481e-06,
2366
+ "loss": 3.525,
2367
+ "step": 183000
2368
+ },
2369
+ {
2370
+ "epoch": 1.5,
2371
+ "learning_rate": 7.109730297023106e-06,
2372
+ "loss": 3.5263,
2373
+ "step": 183500
2374
+ },
2375
+ {
2376
+ "epoch": 1.51,
2377
+ "learning_rate": 7.101400989521732e-06,
2378
+ "loss": 3.5225,
2379
+ "step": 184000
2380
+ },
2381
+ {
2382
+ "epoch": 1.51,
2383
+ "learning_rate": 7.093071682020357e-06,
2384
+ "loss": 3.5255,
2385
+ "step": 184500
2386
+ },
2387
+ {
2388
+ "epoch": 1.52,
2389
+ "learning_rate": 7.084742374518984e-06,
2390
+ "loss": 3.5103,
2391
+ "step": 185000
2392
+ },
2393
+ {
2394
+ "epoch": 1.52,
2395
+ "learning_rate": 7.076413067017609e-06,
2396
+ "loss": 3.5188,
2397
+ "step": 185500
2398
+ },
2399
+ {
2400
+ "epoch": 1.52,
2401
+ "learning_rate": 7.068083759516235e-06,
2402
+ "loss": 3.5088,
2403
+ "step": 186000
2404
+ },
2405
+ {
2406
+ "epoch": 1.53,
2407
+ "learning_rate": 7.05975445201486e-06,
2408
+ "loss": 3.4969,
2409
+ "step": 186500
2410
+ },
2411
+ {
2412
+ "epoch": 1.53,
2413
+ "learning_rate": 7.051425144513486e-06,
2414
+ "loss": 3.5042,
2415
+ "step": 187000
2416
+ },
2417
+ {
2418
+ "epoch": 1.54,
2419
+ "learning_rate": 7.043095837012111e-06,
2420
+ "loss": 3.5034,
2421
+ "step": 187500
2422
+ },
2423
+ {
2424
+ "epoch": 1.54,
2425
+ "learning_rate": 7.034766529510737e-06,
2426
+ "loss": 3.4992,
2427
+ "step": 188000
2428
+ },
2429
+ {
2430
+ "epoch": 1.54,
2431
+ "learning_rate": 7.026437222009362e-06,
2432
+ "loss": 3.4957,
2433
+ "step": 188500
2434
+ },
2435
+ {
2436
+ "epoch": 1.55,
2437
+ "learning_rate": 7.018107914507989e-06,
2438
+ "loss": 3.4922,
2439
+ "step": 189000
2440
+ },
2441
+ {
2442
+ "epoch": 1.55,
2443
+ "learning_rate": 7.009778607006615e-06,
2444
+ "loss": 3.4931,
2445
+ "step": 189500
2446
+ },
2447
+ {
2448
+ "epoch": 1.56,
2449
+ "learning_rate": 7.00144929950524e-06,
2450
+ "loss": 3.4922,
2451
+ "step": 190000
2452
+ },
2453
+ {
2454
+ "epoch": 1.56,
2455
+ "eval_accuracy": 0.431615353474136,
2456
+ "eval_loss": 3.3766753673553467,
2457
+ "eval_runtime": 1724.6809,
2458
+ "eval_samples_per_second": 178.79,
2459
+ "eval_steps_per_second": 3.725,
2460
+ "step": 190000
2461
+ },
2462
+ {
2463
+ "epoch": 1.56,
2464
+ "learning_rate": 6.993119992003865e-06,
2465
+ "loss": 3.488,
2466
+ "step": 190500
2467
+ },
2468
+ {
2469
+ "epoch": 1.56,
2470
+ "learning_rate": 6.984790684502491e-06,
2471
+ "loss": 3.4853,
2472
+ "step": 191000
2473
+ },
2474
+ {
2475
+ "epoch": 1.57,
2476
+ "learning_rate": 6.976461377001117e-06,
2477
+ "loss": 3.4766,
2478
+ "step": 191500
2479
+ },
2480
+ {
2481
+ "epoch": 1.57,
2482
+ "learning_rate": 6.968132069499742e-06,
2483
+ "loss": 3.4742,
2484
+ "step": 192000
2485
+ },
2486
+ {
2487
+ "epoch": 1.58,
2488
+ "learning_rate": 6.959802761998368e-06,
2489
+ "loss": 3.4747,
2490
+ "step": 192500
2491
+ },
2492
+ {
2493
+ "epoch": 1.58,
2494
+ "learning_rate": 6.951473454496994e-06,
2495
+ "loss": 3.4748,
2496
+ "step": 193000
2497
+ },
2498
+ {
2499
+ "epoch": 1.59,
2500
+ "learning_rate": 6.94314414699562e-06,
2501
+ "loss": 3.4671,
2502
+ "step": 193500
2503
+ },
2504
+ {
2505
+ "epoch": 1.59,
2506
+ "learning_rate": 6.934814839494245e-06,
2507
+ "loss": 3.4656,
2508
+ "step": 194000
2509
+ },
2510
+ {
2511
+ "epoch": 1.59,
2512
+ "learning_rate": 6.926485531992871e-06,
2513
+ "loss": 3.4689,
2514
+ "step": 194500
2515
+ },
2516
+ {
2517
+ "epoch": 1.6,
2518
+ "learning_rate": 6.9181562244914965e-06,
2519
+ "loss": 3.4581,
2520
+ "step": 195000
2521
+ },
2522
+ {
2523
+ "epoch": 1.6,
2524
+ "learning_rate": 6.909826916990122e-06,
2525
+ "loss": 3.4493,
2526
+ "step": 195500
2527
+ },
2528
+ {
2529
+ "epoch": 1.61,
2530
+ "learning_rate": 6.901497609488747e-06,
2531
+ "loss": 3.4517,
2532
+ "step": 196000
2533
+ },
2534
+ {
2535
+ "epoch": 1.61,
2536
+ "learning_rate": 6.893168301987373e-06,
2537
+ "loss": 3.4527,
2538
+ "step": 196500
2539
+ },
2540
+ {
2541
+ "epoch": 1.61,
2542
+ "learning_rate": 6.884838994485999e-06,
2543
+ "loss": 3.455,
2544
+ "step": 197000
2545
+ },
2546
+ {
2547
+ "epoch": 1.62,
2548
+ "learning_rate": 6.876509686984625e-06,
2549
+ "loss": 3.4463,
2550
+ "step": 197500
2551
+ },
2552
+ {
2553
+ "epoch": 1.62,
2554
+ "learning_rate": 6.86818037948325e-06,
2555
+ "loss": 3.4449,
2556
+ "step": 198000
2557
+ },
2558
+ {
2559
+ "epoch": 1.63,
2560
+ "learning_rate": 6.859851071981876e-06,
2561
+ "loss": 3.4384,
2562
+ "step": 198500
2563
+ },
2564
+ {
2565
+ "epoch": 1.63,
2566
+ "learning_rate": 6.8515217644805024e-06,
2567
+ "loss": 3.4395,
2568
+ "step": 199000
2569
+ },
2570
+ {
2571
+ "epoch": 1.63,
2572
+ "learning_rate": 6.8431924569791274e-06,
2573
+ "loss": 3.4325,
2574
+ "step": 199500
2575
+ },
2576
+ {
2577
+ "epoch": 1.64,
2578
+ "learning_rate": 6.8348631494777525e-06,
2579
+ "loss": 3.4342,
2580
+ "step": 200000
2581
+ },
2582
+ {
2583
+ "epoch": 1.64,
2584
+ "eval_accuracy": 0.43735020422872606,
2585
+ "eval_loss": 3.3234128952026367,
2586
+ "eval_runtime": 1731.0697,
2587
+ "eval_samples_per_second": 178.13,
2588
+ "eval_steps_per_second": 3.712,
2589
+ "step": 200000
2590
+ },
2591
+ {
2592
+ "epoch": 1.64,
2593
+ "learning_rate": 6.826533841976378e-06,
2594
+ "loss": 3.4376,
2595
+ "step": 200500
2596
+ },
2597
+ {
2598
+ "epoch": 1.65,
2599
+ "learning_rate": 6.818204534475005e-06,
2600
+ "loss": 3.4306,
2601
+ "step": 201000
2602
+ },
2603
+ {
2604
+ "epoch": 1.65,
2605
+ "learning_rate": 6.80987522697363e-06,
2606
+ "loss": 3.425,
2607
+ "step": 201500
2608
+ },
2609
+ {
2610
+ "epoch": 1.65,
2611
+ "learning_rate": 6.801545919472256e-06,
2612
+ "loss": 3.4245,
2613
+ "step": 202000
2614
+ },
2615
+ {
2616
+ "epoch": 1.66,
2617
+ "learning_rate": 6.793216611970881e-06,
2618
+ "loss": 3.4192,
2619
+ "step": 202500
2620
+ },
2621
+ {
2622
+ "epoch": 1.66,
2623
+ "learning_rate": 6.7848873044695075e-06,
2624
+ "loss": 3.4209,
2625
+ "step": 203000
2626
+ },
2627
+ {
2628
+ "epoch": 1.67,
2629
+ "learning_rate": 6.7765579969681325e-06,
2630
+ "loss": 3.4162,
2631
+ "step": 203500
2632
+ },
2633
+ {
2634
+ "epoch": 1.67,
2635
+ "learning_rate": 6.768228689466758e-06,
2636
+ "loss": 3.4149,
2637
+ "step": 204000
2638
+ },
2639
+ {
2640
+ "epoch": 1.68,
2641
+ "learning_rate": 6.759899381965383e-06,
2642
+ "loss": 3.4099,
2643
+ "step": 204500
2644
+ },
2645
+ {
2646
+ "epoch": 1.68,
2647
+ "learning_rate": 6.75157007446401e-06,
2648
+ "loss": 3.4152,
2649
+ "step": 205000
2650
+ },
2651
+ {
2652
+ "epoch": 1.68,
2653
+ "learning_rate": 6.743240766962635e-06,
2654
+ "loss": 3.4053,
2655
+ "step": 205500
2656
+ },
2657
+ {
2658
+ "epoch": 1.69,
2659
+ "learning_rate": 6.734911459461261e-06,
2660
+ "loss": 3.4121,
2661
+ "step": 206000
2662
+ },
2663
+ {
2664
+ "epoch": 1.69,
2665
+ "learning_rate": 6.726582151959886e-06,
2666
+ "loss": 3.4016,
2667
+ "step": 206500
2668
+ },
2669
+ {
2670
+ "epoch": 1.7,
2671
+ "learning_rate": 6.718252844458513e-06,
2672
+ "loss": 3.4082,
2673
+ "step": 207000
2674
+ },
2675
+ {
2676
+ "epoch": 1.7,
2677
+ "learning_rate": 6.709923536957138e-06,
2678
+ "loss": 3.3972,
2679
+ "step": 207500
2680
+ },
2681
+ {
2682
+ "epoch": 1.7,
2683
+ "learning_rate": 6.7015942294557635e-06,
2684
+ "loss": 3.3905,
2685
+ "step": 208000
2686
+ },
2687
+ {
2688
+ "epoch": 1.71,
2689
+ "learning_rate": 6.6932649219543885e-06,
2690
+ "loss": 3.3943,
2691
+ "step": 208500
2692
+ },
2693
+ {
2694
+ "epoch": 1.71,
2695
+ "learning_rate": 6.684935614453015e-06,
2696
+ "loss": 3.3929,
2697
+ "step": 209000
2698
+ },
2699
+ {
2700
+ "epoch": 1.72,
2701
+ "learning_rate": 6.676606306951641e-06,
2702
+ "loss": 3.3955,
2703
+ "step": 209500
2704
+ },
2705
+ {
2706
+ "epoch": 1.72,
2707
+ "learning_rate": 6.668276999450266e-06,
2708
+ "loss": 3.3799,
2709
+ "step": 210000
2710
+ },
2711
+ {
2712
+ "epoch": 1.72,
2713
+ "eval_accuracy": 0.4429012463715165,
2714
+ "eval_loss": 3.276972532272339,
2715
+ "eval_runtime": 1731.0997,
2716
+ "eval_samples_per_second": 178.127,
2717
+ "eval_steps_per_second": 3.712,
2718
+ "step": 210000
2719
+ },
2720
+ {
2721
+ "epoch": 1.72,
2722
+ "step": 210001,
2723
+ "total_flos": 2.91571589780498e+18,
2724
+ "train_loss": 5.009029721765974,
2725
+ "train_runtime": 198560.4752,
2726
+ "train_samples_per_second": 147.531,
2727
+ "train_steps_per_second": 3.074
2728
+ }
2729
+ ],
2730
+ "logging_steps": 500,
2731
+ "max_steps": 610290,
2732
+ "num_train_epochs": 5,
2733
+ "save_steps": 10000,
2734
+ "total_flos": 2.91571589780498e+18,
2735
+ "trial_name": null,
2736
+ "trial_params": null
2737
+ }