kanishka commited on
Commit
366a790
1 Parent(s): dcc5fa0

End of training

Browse files
README.md CHANGED
@@ -1,11 +1,23 @@
1
  ---
2
  tags:
3
  - generated_from_trainer
 
 
4
  metrics:
5
  - accuracy
6
  model-index:
7
  - name: smolm-autoreg-bpe-counterfactual_babylm_aann_high_variability_adj-seed_1024-1e-3
8
- results: []
 
 
 
 
 
 
 
 
 
 
9
  ---
10
 
11
  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -13,7 +25,7 @@ should probably proofread and complete it, then remove this comment. -->
13
 
14
  # smolm-autoreg-bpe-counterfactual_babylm_aann_high_variability_adj-seed_1024-1e-3
15
 
16
- This model was trained from scratch on an unknown dataset.
17
  It achieves the following results on the evaluation set:
18
  - Loss: 3.4042
19
  - Accuracy: 0.4105
 
1
  ---
2
  tags:
3
  - generated_from_trainer
4
+ datasets:
5
+ - kanishka/counterfactual_babylm_aann_high_variability_adj
6
  metrics:
7
  - accuracy
8
  model-index:
9
  - name: smolm-autoreg-bpe-counterfactual_babylm_aann_high_variability_adj-seed_1024-1e-3
10
+ results:
11
+ - task:
12
+ name: Causal Language Modeling
13
+ type: text-generation
14
+ dataset:
15
+ name: kanishka/counterfactual_babylm_aann_high_variability_adj
16
+ type: kanishka/counterfactual_babylm_aann_high_variability_adj
17
+ metrics:
18
+ - name: Accuracy
19
+ type: accuracy
20
+ value: 0.41050110032238096
21
  ---
22
 
23
  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
 
25
 
26
  # smolm-autoreg-bpe-counterfactual_babylm_aann_high_variability_adj-seed_1024-1e-3
27
 
28
+ This model was trained from scratch on the kanishka/counterfactual_babylm_aann_high_variability_adj dataset.
29
  It achieves the following results on the evaluation set:
30
  - Loss: 3.4042
31
  - Accuracy: 0.4105
all_results.json ADDED
@@ -0,0 +1,15 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "epoch": 20.0,
3
+ "eval_accuracy": 0.41050110032238096,
4
+ "eval_loss": 3.4041664600372314,
5
+ "eval_runtime": 154.211,
6
+ "eval_samples": 57919,
7
+ "eval_samples_per_second": 375.583,
8
+ "eval_steps_per_second": 5.869,
9
+ "perplexity": 30.0892047136139,
10
+ "train_loss": 3.0269814196563325,
11
+ "train_runtime": 81274.1105,
12
+ "train_samples": 594994,
13
+ "train_samples_per_second": 146.417,
14
+ "train_steps_per_second": 4.576
15
+ }
eval_results.json ADDED
@@ -0,0 +1,10 @@
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "epoch": 20.0,
3
+ "eval_accuracy": 0.41050110032238096,
4
+ "eval_loss": 3.4041664600372314,
5
+ "eval_runtime": 154.211,
6
+ "eval_samples": 57919,
7
+ "eval_samples_per_second": 375.583,
8
+ "eval_steps_per_second": 5.869,
9
+ "perplexity": 30.0892047136139
10
+ }
runs/Jul17_11-20-59_phyl-ling-p01.la.utexas.edu/events.out.tfevents.1721315061.phyl-ling-p01.la.utexas.edu.2998199.1 ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:145328aebaab4629c719aa02854acd260c52c5acd683cb1560392d5b77834e95
3
+ size 417
train_results.json ADDED
@@ -0,0 +1,8 @@
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "epoch": 20.0,
3
+ "train_loss": 3.0269814196563325,
4
+ "train_runtime": 81274.1105,
5
+ "train_samples": 594994,
6
+ "train_samples_per_second": 146.417,
7
+ "train_steps_per_second": 4.576
8
+ }
trainer_state.json ADDED
@@ -0,0 +1,2807 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_metric": null,
3
+ "best_model_checkpoint": null,
4
+ "epoch": 20.0,
5
+ "eval_steps": 500,
6
+ "global_step": 371880,
7
+ "is_hyper_param_search": false,
8
+ "is_local_process_zero": true,
9
+ "is_world_process_zero": true,
10
+ "log_history": [
11
+ {
12
+ "epoch": 0.05,
13
+ "grad_norm": 1.0183484554290771,
14
+ "learning_rate": 3.125e-05,
15
+ "loss": 6.2316,
16
+ "step": 1000
17
+ },
18
+ {
19
+ "epoch": 0.11,
20
+ "grad_norm": 0.9109435677528381,
21
+ "learning_rate": 6.25e-05,
22
+ "loss": 5.0067,
23
+ "step": 2000
24
+ },
25
+ {
26
+ "epoch": 0.16,
27
+ "grad_norm": 0.8983614444732666,
28
+ "learning_rate": 9.375e-05,
29
+ "loss": 4.675,
30
+ "step": 3000
31
+ },
32
+ {
33
+ "epoch": 0.22,
34
+ "grad_norm": 0.8370816111564636,
35
+ "learning_rate": 0.000125,
36
+ "loss": 4.4579,
37
+ "step": 4000
38
+ },
39
+ {
40
+ "epoch": 0.27,
41
+ "grad_norm": 0.7996561527252197,
42
+ "learning_rate": 0.00015625,
43
+ "loss": 4.301,
44
+ "step": 5000
45
+ },
46
+ {
47
+ "epoch": 0.32,
48
+ "grad_norm": 0.7139356732368469,
49
+ "learning_rate": 0.0001875,
50
+ "loss": 4.1791,
51
+ "step": 6000
52
+ },
53
+ {
54
+ "epoch": 0.38,
55
+ "grad_norm": 0.720668375492096,
56
+ "learning_rate": 0.00021875,
57
+ "loss": 4.0705,
58
+ "step": 7000
59
+ },
60
+ {
61
+ "epoch": 0.43,
62
+ "grad_norm": 0.6427111029624939,
63
+ "learning_rate": 0.00025,
64
+ "loss": 3.9831,
65
+ "step": 8000
66
+ },
67
+ {
68
+ "epoch": 0.48,
69
+ "grad_norm": 0.6335527300834656,
70
+ "learning_rate": 0.00028121875,
71
+ "loss": 3.9099,
72
+ "step": 9000
73
+ },
74
+ {
75
+ "epoch": 0.54,
76
+ "grad_norm": 0.6659609079360962,
77
+ "learning_rate": 0.00031246875000000003,
78
+ "loss": 3.8399,
79
+ "step": 10000
80
+ },
81
+ {
82
+ "epoch": 0.59,
83
+ "grad_norm": 0.5713762044906616,
84
+ "learning_rate": 0.00034371875,
85
+ "loss": 3.7978,
86
+ "step": 11000
87
+ },
88
+ {
89
+ "epoch": 0.65,
90
+ "grad_norm": 0.5290955901145935,
91
+ "learning_rate": 0.00037490625,
92
+ "loss": 3.7599,
93
+ "step": 12000
94
+ },
95
+ {
96
+ "epoch": 0.7,
97
+ "grad_norm": 0.4921986162662506,
98
+ "learning_rate": 0.00040615625,
99
+ "loss": 3.7187,
100
+ "step": 13000
101
+ },
102
+ {
103
+ "epoch": 0.75,
104
+ "grad_norm": 0.5067416429519653,
105
+ "learning_rate": 0.00043740625,
106
+ "loss": 3.6894,
107
+ "step": 14000
108
+ },
109
+ {
110
+ "epoch": 0.81,
111
+ "grad_norm": 0.4463486671447754,
112
+ "learning_rate": 0.000468625,
113
+ "loss": 3.6571,
114
+ "step": 15000
115
+ },
116
+ {
117
+ "epoch": 0.86,
118
+ "grad_norm": 0.402967244386673,
119
+ "learning_rate": 0.000499875,
120
+ "loss": 3.6394,
121
+ "step": 16000
122
+ },
123
+ {
124
+ "epoch": 0.91,
125
+ "grad_norm": 0.39186057448387146,
126
+ "learning_rate": 0.000531125,
127
+ "loss": 3.6159,
128
+ "step": 17000
129
+ },
130
+ {
131
+ "epoch": 0.97,
132
+ "grad_norm": 0.35502514243125916,
133
+ "learning_rate": 0.00056234375,
134
+ "loss": 3.5971,
135
+ "step": 18000
136
+ },
137
+ {
138
+ "epoch": 1.0,
139
+ "eval_accuracy": 0.3617747930945827,
140
+ "eval_loss": 3.736064910888672,
141
+ "eval_runtime": 152.7106,
142
+ "eval_samples_per_second": 379.273,
143
+ "eval_steps_per_second": 5.926,
144
+ "step": 18594
145
+ },
146
+ {
147
+ "epoch": 1.02,
148
+ "grad_norm": 0.35789868235588074,
149
+ "learning_rate": 0.00059359375,
150
+ "loss": 3.5664,
151
+ "step": 19000
152
+ },
153
+ {
154
+ "epoch": 1.08,
155
+ "grad_norm": 0.33985644578933716,
156
+ "learning_rate": 0.0006248125,
157
+ "loss": 3.5412,
158
+ "step": 20000
159
+ },
160
+ {
161
+ "epoch": 1.13,
162
+ "grad_norm": 0.32881930470466614,
163
+ "learning_rate": 0.0006560625,
164
+ "loss": 3.5403,
165
+ "step": 21000
166
+ },
167
+ {
168
+ "epoch": 1.18,
169
+ "grad_norm": 0.3065691292285919,
170
+ "learning_rate": 0.0006873125,
171
+ "loss": 3.5256,
172
+ "step": 22000
173
+ },
174
+ {
175
+ "epoch": 1.24,
176
+ "grad_norm": 0.27938657999038696,
177
+ "learning_rate": 0.00071853125,
178
+ "loss": 3.5151,
179
+ "step": 23000
180
+ },
181
+ {
182
+ "epoch": 1.29,
183
+ "grad_norm": 0.3042667508125305,
184
+ "learning_rate": 0.00074978125,
185
+ "loss": 3.4991,
186
+ "step": 24000
187
+ },
188
+ {
189
+ "epoch": 1.34,
190
+ "grad_norm": 0.3247887194156647,
191
+ "learning_rate": 0.0007810312499999999,
192
+ "loss": 3.4982,
193
+ "step": 25000
194
+ },
195
+ {
196
+ "epoch": 1.4,
197
+ "grad_norm": 0.27074122428894043,
198
+ "learning_rate": 0.00081225,
199
+ "loss": 3.4822,
200
+ "step": 26000
201
+ },
202
+ {
203
+ "epoch": 1.45,
204
+ "grad_norm": 0.27802783250808716,
205
+ "learning_rate": 0.0008435000000000001,
206
+ "loss": 3.4749,
207
+ "step": 27000
208
+ },
209
+ {
210
+ "epoch": 1.51,
211
+ "grad_norm": 0.26988905668258667,
212
+ "learning_rate": 0.0008746874999999999,
213
+ "loss": 3.4671,
214
+ "step": 28000
215
+ },
216
+ {
217
+ "epoch": 1.56,
218
+ "grad_norm": 0.25848186016082764,
219
+ "learning_rate": 0.0009059375,
220
+ "loss": 3.4568,
221
+ "step": 29000
222
+ },
223
+ {
224
+ "epoch": 1.61,
225
+ "grad_norm": 0.24958929419517517,
226
+ "learning_rate": 0.0009371875,
227
+ "loss": 3.4476,
228
+ "step": 30000
229
+ },
230
+ {
231
+ "epoch": 1.67,
232
+ "grad_norm": 0.2539744973182678,
233
+ "learning_rate": 0.0009684375,
234
+ "loss": 3.4437,
235
+ "step": 31000
236
+ },
237
+ {
238
+ "epoch": 1.72,
239
+ "grad_norm": 0.23232826590538025,
240
+ "learning_rate": 0.0009996562500000001,
241
+ "loss": 3.4327,
242
+ "step": 32000
243
+ },
244
+ {
245
+ "epoch": 1.77,
246
+ "grad_norm": 0.24366217851638794,
247
+ "learning_rate": 0.0009970901494645169,
248
+ "loss": 3.4251,
249
+ "step": 33000
250
+ },
251
+ {
252
+ "epoch": 1.83,
253
+ "grad_norm": 0.2503926753997803,
254
+ "learning_rate": 0.0009941479345651407,
255
+ "loss": 3.4122,
256
+ "step": 34000
257
+ },
258
+ {
259
+ "epoch": 1.88,
260
+ "grad_norm": 0.24379245936870575,
261
+ "learning_rate": 0.0009912057196657645,
262
+ "loss": 3.3993,
263
+ "step": 35000
264
+ },
265
+ {
266
+ "epoch": 1.94,
267
+ "grad_norm": 0.22166165709495544,
268
+ "learning_rate": 0.000988263504766388,
269
+ "loss": 3.3923,
270
+ "step": 36000
271
+ },
272
+ {
273
+ "epoch": 1.99,
274
+ "grad_norm": 0.23829974234104156,
275
+ "learning_rate": 0.0009853242320819113,
276
+ "loss": 3.3831,
277
+ "step": 37000
278
+ },
279
+ {
280
+ "epoch": 2.0,
281
+ "eval_accuracy": 0.38096548762618504,
282
+ "eval_loss": 3.564042091369629,
283
+ "eval_runtime": 153.9584,
284
+ "eval_samples_per_second": 376.199,
285
+ "eval_steps_per_second": 5.878,
286
+ "step": 37188
287
+ },
288
+ {
289
+ "epoch": 2.04,
290
+ "grad_norm": 0.22480344772338867,
291
+ "learning_rate": 0.000982382017182535,
292
+ "loss": 3.3353,
293
+ "step": 38000
294
+ },
295
+ {
296
+ "epoch": 2.1,
297
+ "grad_norm": 0.2300485223531723,
298
+ "learning_rate": 0.0009794427444980581,
299
+ "loss": 3.3295,
300
+ "step": 39000
301
+ },
302
+ {
303
+ "epoch": 2.15,
304
+ "grad_norm": 0.21135911345481873,
305
+ "learning_rate": 0.0009765005295986819,
306
+ "loss": 3.3236,
307
+ "step": 40000
308
+ },
309
+ {
310
+ "epoch": 2.21,
311
+ "grad_norm": 0.20723822712898254,
312
+ "learning_rate": 0.0009735583146993057,
313
+ "loss": 3.319,
314
+ "step": 41000
315
+ },
316
+ {
317
+ "epoch": 2.26,
318
+ "grad_norm": 0.2093385010957718,
319
+ "learning_rate": 0.0009706160997999294,
320
+ "loss": 3.3158,
321
+ "step": 42000
322
+ },
323
+ {
324
+ "epoch": 2.31,
325
+ "grad_norm": 0.21909525990486145,
326
+ "learning_rate": 0.0009676768271154526,
327
+ "loss": 3.3127,
328
+ "step": 43000
329
+ },
330
+ {
331
+ "epoch": 2.37,
332
+ "grad_norm": 0.23994240164756775,
333
+ "learning_rate": 0.0009647375544309756,
334
+ "loss": 3.3092,
335
+ "step": 44000
336
+ },
337
+ {
338
+ "epoch": 2.42,
339
+ "grad_norm": 0.2161034643650055,
340
+ "learning_rate": 0.0009617953395315993,
341
+ "loss": 3.2979,
342
+ "step": 45000
343
+ },
344
+ {
345
+ "epoch": 2.47,
346
+ "grad_norm": 0.23253212869167328,
347
+ "learning_rate": 0.0009588531246322232,
348
+ "loss": 3.291,
349
+ "step": 46000
350
+ },
351
+ {
352
+ "epoch": 2.53,
353
+ "grad_norm": 0.22771930694580078,
354
+ "learning_rate": 0.0009559109097328469,
355
+ "loss": 3.2867,
356
+ "step": 47000
357
+ },
358
+ {
359
+ "epoch": 2.58,
360
+ "grad_norm": 0.18900541961193085,
361
+ "learning_rate": 0.00095297163704837,
362
+ "loss": 3.2844,
363
+ "step": 48000
364
+ },
365
+ {
366
+ "epoch": 2.64,
367
+ "grad_norm": 0.23678931593894958,
368
+ "learning_rate": 0.0009500294221489938,
369
+ "loss": 3.2812,
370
+ "step": 49000
371
+ },
372
+ {
373
+ "epoch": 2.69,
374
+ "grad_norm": 0.24454990029335022,
375
+ "learning_rate": 0.0009470872072496175,
376
+ "loss": 3.277,
377
+ "step": 50000
378
+ },
379
+ {
380
+ "epoch": 2.74,
381
+ "grad_norm": 0.22431446611881256,
382
+ "learning_rate": 0.0009441479345651407,
383
+ "loss": 3.2715,
384
+ "step": 51000
385
+ },
386
+ {
387
+ "epoch": 2.8,
388
+ "grad_norm": 0.22084662318229675,
389
+ "learning_rate": 0.0009412057196657645,
390
+ "loss": 3.2696,
391
+ "step": 52000
392
+ },
393
+ {
394
+ "epoch": 2.85,
395
+ "grad_norm": 0.20824232697486877,
396
+ "learning_rate": 0.0009382635047663881,
397
+ "loss": 3.2631,
398
+ "step": 53000
399
+ },
400
+ {
401
+ "epoch": 2.9,
402
+ "grad_norm": 0.20131325721740723,
403
+ "learning_rate": 0.0009353271742968107,
404
+ "loss": 3.2608,
405
+ "step": 54000
406
+ },
407
+ {
408
+ "epoch": 2.96,
409
+ "grad_norm": 0.2070458084344864,
410
+ "learning_rate": 0.0009323849593974344,
411
+ "loss": 3.2562,
412
+ "step": 55000
413
+ },
414
+ {
415
+ "epoch": 3.0,
416
+ "eval_accuracy": 0.3928006125285796,
417
+ "eval_loss": 3.451838970184326,
418
+ "eval_runtime": 153.9331,
419
+ "eval_samples_per_second": 376.261,
420
+ "eval_steps_per_second": 5.879,
421
+ "step": 55782
422
+ },
423
+ {
424
+ "epoch": 3.01,
425
+ "grad_norm": 0.20725230872631073,
426
+ "learning_rate": 0.0009294427444980582,
427
+ "loss": 3.2396,
428
+ "step": 56000
429
+ },
430
+ {
431
+ "epoch": 3.07,
432
+ "grad_norm": 0.2388351708650589,
433
+ "learning_rate": 0.0009265005295986819,
434
+ "loss": 3.1887,
435
+ "step": 57000
436
+ },
437
+ {
438
+ "epoch": 3.12,
439
+ "grad_norm": 0.21209891140460968,
440
+ "learning_rate": 0.000923561256914205,
441
+ "loss": 3.1954,
442
+ "step": 58000
443
+ },
444
+ {
445
+ "epoch": 3.17,
446
+ "grad_norm": 0.2077139914035797,
447
+ "learning_rate": 0.0009206190420148288,
448
+ "loss": 3.191,
449
+ "step": 59000
450
+ },
451
+ {
452
+ "epoch": 3.23,
453
+ "grad_norm": 0.18837687373161316,
454
+ "learning_rate": 0.0009176797693303519,
455
+ "loss": 3.1978,
456
+ "step": 60000
457
+ },
458
+ {
459
+ "epoch": 3.28,
460
+ "grad_norm": 0.21532927453517914,
461
+ "learning_rate": 0.0009147375544309756,
462
+ "loss": 3.1977,
463
+ "step": 61000
464
+ },
465
+ {
466
+ "epoch": 3.33,
467
+ "grad_norm": 0.2525598704814911,
468
+ "learning_rate": 0.0009117982817464989,
469
+ "loss": 3.1913,
470
+ "step": 62000
471
+ },
472
+ {
473
+ "epoch": 3.39,
474
+ "grad_norm": 0.200853168964386,
475
+ "learning_rate": 0.0009088560668471226,
476
+ "loss": 3.1919,
477
+ "step": 63000
478
+ },
479
+ {
480
+ "epoch": 3.44,
481
+ "grad_norm": 0.229068785905838,
482
+ "learning_rate": 0.0009059138519477463,
483
+ "loss": 3.1943,
484
+ "step": 64000
485
+ },
486
+ {
487
+ "epoch": 3.5,
488
+ "grad_norm": 0.21732106804847717,
489
+ "learning_rate": 0.00090297163704837,
490
+ "loss": 3.1888,
491
+ "step": 65000
492
+ },
493
+ {
494
+ "epoch": 3.55,
495
+ "grad_norm": 0.22062081098556519,
496
+ "learning_rate": 0.0009000294221489937,
497
+ "loss": 3.1915,
498
+ "step": 66000
499
+ },
500
+ {
501
+ "epoch": 3.6,
502
+ "grad_norm": 0.1934981495141983,
503
+ "learning_rate": 0.0008970872072496176,
504
+ "loss": 3.1932,
505
+ "step": 67000
506
+ },
507
+ {
508
+ "epoch": 3.66,
509
+ "grad_norm": 0.2158234715461731,
510
+ "learning_rate": 0.0008941449923502413,
511
+ "loss": 3.1886,
512
+ "step": 68000
513
+ },
514
+ {
515
+ "epoch": 3.71,
516
+ "grad_norm": 0.20966586470603943,
517
+ "learning_rate": 0.0008912086618806638,
518
+ "loss": 3.1874,
519
+ "step": 69000
520
+ },
521
+ {
522
+ "epoch": 3.76,
523
+ "grad_norm": 0.22365672886371613,
524
+ "learning_rate": 0.0008882664469812876,
525
+ "loss": 3.1846,
526
+ "step": 70000
527
+ },
528
+ {
529
+ "epoch": 3.82,
530
+ "grad_norm": 0.21290117502212524,
531
+ "learning_rate": 0.0008853242320819112,
532
+ "loss": 3.1814,
533
+ "step": 71000
534
+ },
535
+ {
536
+ "epoch": 3.87,
537
+ "grad_norm": 0.24976381659507751,
538
+ "learning_rate": 0.0008823849593974345,
539
+ "loss": 3.1807,
540
+ "step": 72000
541
+ },
542
+ {
543
+ "epoch": 3.93,
544
+ "grad_norm": 0.22274042665958405,
545
+ "learning_rate": 0.0008794427444980582,
546
+ "loss": 3.1793,
547
+ "step": 73000
548
+ },
549
+ {
550
+ "epoch": 3.98,
551
+ "grad_norm": 0.2167842984199524,
552
+ "learning_rate": 0.0008765034718135813,
553
+ "loss": 3.1823,
554
+ "step": 74000
555
+ },
556
+ {
557
+ "epoch": 4.0,
558
+ "eval_accuracy": 0.39791865508136515,
559
+ "eval_loss": 3.415066957473755,
560
+ "eval_runtime": 153.3194,
561
+ "eval_samples_per_second": 377.767,
562
+ "eval_steps_per_second": 5.903,
563
+ "step": 74376
564
+ },
565
+ {
566
+ "epoch": 4.03,
567
+ "grad_norm": 0.21291407942771912,
568
+ "learning_rate": 0.0008735612569142051,
569
+ "loss": 3.1343,
570
+ "step": 75000
571
+ },
572
+ {
573
+ "epoch": 4.09,
574
+ "grad_norm": 0.20777927339076996,
575
+ "learning_rate": 0.0008706190420148288,
576
+ "loss": 3.1141,
577
+ "step": 76000
578
+ },
579
+ {
580
+ "epoch": 4.14,
581
+ "grad_norm": 0.26749035716056824,
582
+ "learning_rate": 0.0008676797693303519,
583
+ "loss": 3.1196,
584
+ "step": 77000
585
+ },
586
+ {
587
+ "epoch": 4.19,
588
+ "grad_norm": 0.23727400600910187,
589
+ "learning_rate": 0.000864740496645875,
590
+ "loss": 3.1233,
591
+ "step": 78000
592
+ },
593
+ {
594
+ "epoch": 4.25,
595
+ "grad_norm": 0.2067500203847885,
596
+ "learning_rate": 0.0008617982817464987,
597
+ "loss": 3.1214,
598
+ "step": 79000
599
+ },
600
+ {
601
+ "epoch": 4.3,
602
+ "grad_norm": 0.22707048058509827,
603
+ "learning_rate": 0.0008588560668471226,
604
+ "loss": 3.1273,
605
+ "step": 80000
606
+ },
607
+ {
608
+ "epoch": 4.36,
609
+ "grad_norm": 0.24729251861572266,
610
+ "learning_rate": 0.0008559138519477463,
611
+ "loss": 3.125,
612
+ "step": 81000
613
+ },
614
+ {
615
+ "epoch": 4.41,
616
+ "grad_norm": 0.22690938413143158,
617
+ "learning_rate": 0.00085297163704837,
618
+ "loss": 3.1231,
619
+ "step": 82000
620
+ },
621
+ {
622
+ "epoch": 4.46,
623
+ "grad_norm": 0.18175360560417175,
624
+ "learning_rate": 0.0008500323643638932,
625
+ "loss": 3.1261,
626
+ "step": 83000
627
+ },
628
+ {
629
+ "epoch": 4.52,
630
+ "grad_norm": 0.19980421662330627,
631
+ "learning_rate": 0.0008470901494645169,
632
+ "loss": 3.1266,
633
+ "step": 84000
634
+ },
635
+ {
636
+ "epoch": 4.57,
637
+ "grad_norm": 0.2160082459449768,
638
+ "learning_rate": 0.00084415087678004,
639
+ "loss": 3.1267,
640
+ "step": 85000
641
+ },
642
+ {
643
+ "epoch": 4.63,
644
+ "grad_norm": 0.2302197962999344,
645
+ "learning_rate": 0.0008412086618806639,
646
+ "loss": 3.1255,
647
+ "step": 86000
648
+ },
649
+ {
650
+ "epoch": 4.68,
651
+ "grad_norm": 0.2090998739004135,
652
+ "learning_rate": 0.0008382664469812875,
653
+ "loss": 3.1287,
654
+ "step": 87000
655
+ },
656
+ {
657
+ "epoch": 4.73,
658
+ "grad_norm": 0.23025181889533997,
659
+ "learning_rate": 0.0008353271742968107,
660
+ "loss": 3.1243,
661
+ "step": 88000
662
+ },
663
+ {
664
+ "epoch": 4.79,
665
+ "grad_norm": 0.18944258987903595,
666
+ "learning_rate": 0.0008323849593974345,
667
+ "loss": 3.1276,
668
+ "step": 89000
669
+ },
670
+ {
671
+ "epoch": 4.84,
672
+ "grad_norm": 0.23088830709457397,
673
+ "learning_rate": 0.0008294427444980582,
674
+ "loss": 3.119,
675
+ "step": 90000
676
+ },
677
+ {
678
+ "epoch": 4.89,
679
+ "grad_norm": 0.2036658078432083,
680
+ "learning_rate": 0.0008265034718135813,
681
+ "loss": 3.1229,
682
+ "step": 91000
683
+ },
684
+ {
685
+ "epoch": 4.95,
686
+ "grad_norm": 0.22064287960529327,
687
+ "learning_rate": 0.0008235612569142051,
688
+ "loss": 3.123,
689
+ "step": 92000
690
+ },
691
+ {
692
+ "epoch": 5.0,
693
+ "eval_accuracy": 0.40198451036846505,
694
+ "eval_loss": 3.3894715309143066,
695
+ "eval_runtime": 153.8615,
696
+ "eval_samples_per_second": 376.436,
697
+ "eval_steps_per_second": 5.882,
698
+ "step": 92970
699
+ },
700
+ {
701
+ "epoch": 5.0,
702
+ "grad_norm": 0.23256349563598633,
703
+ "learning_rate": 0.0008206190420148288,
704
+ "loss": 3.1192,
705
+ "step": 93000
706
+ },
707
+ {
708
+ "epoch": 5.06,
709
+ "grad_norm": 0.22044919431209564,
710
+ "learning_rate": 0.0008176768271154526,
711
+ "loss": 3.0559,
712
+ "step": 94000
713
+ },
714
+ {
715
+ "epoch": 5.11,
716
+ "grad_norm": 0.23432625830173492,
717
+ "learning_rate": 0.0008147346122160762,
718
+ "loss": 3.0609,
719
+ "step": 95000
720
+ },
721
+ {
722
+ "epoch": 5.16,
723
+ "grad_norm": 0.20878207683563232,
724
+ "learning_rate": 0.0008117953395315995,
725
+ "loss": 3.0594,
726
+ "step": 96000
727
+ },
728
+ {
729
+ "epoch": 5.22,
730
+ "grad_norm": 0.22522564232349396,
731
+ "learning_rate": 0.0008088531246322232,
732
+ "loss": 3.0697,
733
+ "step": 97000
734
+ },
735
+ {
736
+ "epoch": 5.27,
737
+ "grad_norm": 0.21230152249336243,
738
+ "learning_rate": 0.0008059167941626456,
739
+ "loss": 3.0719,
740
+ "step": 98000
741
+ },
742
+ {
743
+ "epoch": 5.32,
744
+ "grad_norm": 0.21536217629909515,
745
+ "learning_rate": 0.0008029775214781688,
746
+ "loss": 3.0704,
747
+ "step": 99000
748
+ },
749
+ {
750
+ "epoch": 5.38,
751
+ "grad_norm": 0.2108333706855774,
752
+ "learning_rate": 0.0008000353065787926,
753
+ "loss": 3.0744,
754
+ "step": 100000
755
+ },
756
+ {
757
+ "epoch": 5.43,
758
+ "grad_norm": 0.2334020584821701,
759
+ "learning_rate": 0.0007970960338943156,
760
+ "loss": 3.0798,
761
+ "step": 101000
762
+ },
763
+ {
764
+ "epoch": 5.49,
765
+ "grad_norm": 0.2081642746925354,
766
+ "learning_rate": 0.0007941538189949394,
767
+ "loss": 3.0768,
768
+ "step": 102000
769
+ },
770
+ {
771
+ "epoch": 5.54,
772
+ "grad_norm": 0.23282569646835327,
773
+ "learning_rate": 0.0007912116040955632,
774
+ "loss": 3.0777,
775
+ "step": 103000
776
+ },
777
+ {
778
+ "epoch": 5.59,
779
+ "grad_norm": 0.23747290670871735,
780
+ "learning_rate": 0.000788269389196187,
781
+ "loss": 3.0809,
782
+ "step": 104000
783
+ },
784
+ {
785
+ "epoch": 5.65,
786
+ "grad_norm": 0.24338039755821228,
787
+ "learning_rate": 0.0007853271742968107,
788
+ "loss": 3.0818,
789
+ "step": 105000
790
+ },
791
+ {
792
+ "epoch": 5.7,
793
+ "grad_norm": 0.2295004278421402,
794
+ "learning_rate": 0.0007823879016123338,
795
+ "loss": 3.0823,
796
+ "step": 106000
797
+ },
798
+ {
799
+ "epoch": 5.75,
800
+ "grad_norm": 0.21398743987083435,
801
+ "learning_rate": 0.0007794456867129576,
802
+ "loss": 3.0817,
803
+ "step": 107000
804
+ },
805
+ {
806
+ "epoch": 5.81,
807
+ "grad_norm": 0.20917442440986633,
808
+ "learning_rate": 0.0007765034718135813,
809
+ "loss": 3.0757,
810
+ "step": 108000
811
+ },
812
+ {
813
+ "epoch": 5.86,
814
+ "grad_norm": 0.21766169369220734,
815
+ "learning_rate": 0.000773561256914205,
816
+ "loss": 3.0773,
817
+ "step": 109000
818
+ },
819
+ {
820
+ "epoch": 5.92,
821
+ "grad_norm": 0.2269996553659439,
822
+ "learning_rate": 0.0007706219842297282,
823
+ "loss": 3.0747,
824
+ "step": 110000
825
+ },
826
+ {
827
+ "epoch": 5.97,
828
+ "grad_norm": 0.21728727221488953,
829
+ "learning_rate": 0.0007676827115452512,
830
+ "loss": 3.0779,
831
+ "step": 111000
832
+ },
833
+ {
834
+ "epoch": 6.0,
835
+ "eval_accuracy": 0.40453321937661096,
836
+ "eval_loss": 3.3727822303771973,
837
+ "eval_runtime": 153.703,
838
+ "eval_samples_per_second": 376.824,
839
+ "eval_steps_per_second": 5.888,
840
+ "step": 111564
841
+ },
842
+ {
843
+ "epoch": 6.02,
844
+ "grad_norm": 0.22364608943462372,
845
+ "learning_rate": 0.0007647434388607743,
846
+ "loss": 3.0463,
847
+ "step": 112000
848
+ },
849
+ {
850
+ "epoch": 6.08,
851
+ "grad_norm": 0.2303326576948166,
852
+ "learning_rate": 0.0007618012239613981,
853
+ "loss": 3.013,
854
+ "step": 113000
855
+ },
856
+ {
857
+ "epoch": 6.13,
858
+ "grad_norm": 0.22477248311042786,
859
+ "learning_rate": 0.0007588590090620218,
860
+ "loss": 3.0186,
861
+ "step": 114000
862
+ },
863
+ {
864
+ "epoch": 6.18,
865
+ "grad_norm": 0.2574509084224701,
866
+ "learning_rate": 0.0007559167941626457,
867
+ "loss": 3.0288,
868
+ "step": 115000
869
+ },
870
+ {
871
+ "epoch": 6.24,
872
+ "grad_norm": 0.2393523007631302,
873
+ "learning_rate": 0.0007529775214781687,
874
+ "loss": 3.0246,
875
+ "step": 116000
876
+ },
877
+ {
878
+ "epoch": 6.29,
879
+ "grad_norm": 0.2154286503791809,
880
+ "learning_rate": 0.0007500353065787924,
881
+ "loss": 3.032,
882
+ "step": 117000
883
+ },
884
+ {
885
+ "epoch": 6.35,
886
+ "grad_norm": 0.24074001610279083,
887
+ "learning_rate": 0.0007470960338943157,
888
+ "loss": 3.03,
889
+ "step": 118000
890
+ },
891
+ {
892
+ "epoch": 6.4,
893
+ "grad_norm": 0.21355246007442474,
894
+ "learning_rate": 0.0007441538189949394,
895
+ "loss": 3.0339,
896
+ "step": 119000
897
+ },
898
+ {
899
+ "epoch": 6.45,
900
+ "grad_norm": 0.23035864531993866,
901
+ "learning_rate": 0.0007412116040955633,
902
+ "loss": 3.0346,
903
+ "step": 120000
904
+ },
905
+ {
906
+ "epoch": 6.51,
907
+ "grad_norm": 0.22556589543819427,
908
+ "learning_rate": 0.0007382693891961869,
909
+ "loss": 3.0383,
910
+ "step": 121000
911
+ },
912
+ {
913
+ "epoch": 6.56,
914
+ "grad_norm": 0.2367316633462906,
915
+ "learning_rate": 0.00073533011651171,
916
+ "loss": 3.0389,
917
+ "step": 122000
918
+ },
919
+ {
920
+ "epoch": 6.62,
921
+ "grad_norm": 0.23370467126369476,
922
+ "learning_rate": 0.0007323879016123339,
923
+ "loss": 3.0418,
924
+ "step": 123000
925
+ },
926
+ {
927
+ "epoch": 6.67,
928
+ "grad_norm": 0.24725669622421265,
929
+ "learning_rate": 0.0007294486289278569,
930
+ "loss": 3.043,
931
+ "step": 124000
932
+ },
933
+ {
934
+ "epoch": 6.72,
935
+ "grad_norm": 0.2352810651063919,
936
+ "learning_rate": 0.0007265064140284806,
937
+ "loss": 3.0412,
938
+ "step": 125000
939
+ },
940
+ {
941
+ "epoch": 6.78,
942
+ "grad_norm": 0.25413230061531067,
943
+ "learning_rate": 0.0007235671413440038,
944
+ "loss": 3.0405,
945
+ "step": 126000
946
+ },
947
+ {
948
+ "epoch": 6.83,
949
+ "grad_norm": 0.25267255306243896,
950
+ "learning_rate": 0.0007206249264446275,
951
+ "loss": 3.0445,
952
+ "step": 127000
953
+ },
954
+ {
955
+ "epoch": 6.88,
956
+ "grad_norm": 0.22229382395744324,
957
+ "learning_rate": 0.0007176827115452513,
958
+ "loss": 3.0457,
959
+ "step": 128000
960
+ },
961
+ {
962
+ "epoch": 6.94,
963
+ "grad_norm": 0.23900896310806274,
964
+ "learning_rate": 0.0007147434388607744,
965
+ "loss": 3.0438,
966
+ "step": 129000
967
+ },
968
+ {
969
+ "epoch": 6.99,
970
+ "grad_norm": 0.26492878794670105,
971
+ "learning_rate": 0.0007118012239613981,
972
+ "loss": 3.0394,
973
+ "step": 130000
974
+ },
975
+ {
976
+ "epoch": 7.0,
977
+ "eval_accuracy": 0.4067593928808265,
978
+ "eval_loss": 3.3513076305389404,
979
+ "eval_runtime": 154.1811,
980
+ "eval_samples_per_second": 375.656,
981
+ "eval_steps_per_second": 5.87,
982
+ "step": 130158
983
+ },
984
+ {
985
+ "epoch": 7.05,
986
+ "grad_norm": 0.22051194310188293,
987
+ "learning_rate": 0.0007088590090620219,
988
+ "loss": 2.9883,
989
+ "step": 131000
990
+ },
991
+ {
992
+ "epoch": 7.1,
993
+ "grad_norm": 0.2120658904314041,
994
+ "learning_rate": 0.000705919736377545,
995
+ "loss": 2.9817,
996
+ "step": 132000
997
+ },
998
+ {
999
+ "epoch": 7.15,
1000
+ "grad_norm": 0.21563994884490967,
1001
+ "learning_rate": 0.0007029775214781687,
1002
+ "loss": 2.9867,
1003
+ "step": 133000
1004
+ },
1005
+ {
1006
+ "epoch": 7.21,
1007
+ "grad_norm": 0.228189617395401,
1008
+ "learning_rate": 0.0007000353065787925,
1009
+ "loss": 2.9915,
1010
+ "step": 134000
1011
+ },
1012
+ {
1013
+ "epoch": 7.26,
1014
+ "grad_norm": 0.27084964513778687,
1015
+ "learning_rate": 0.0006970960338943157,
1016
+ "loss": 2.9942,
1017
+ "step": 135000
1018
+ },
1019
+ {
1020
+ "epoch": 7.31,
1021
+ "grad_norm": 0.21773342788219452,
1022
+ "learning_rate": 0.0006941538189949394,
1023
+ "loss": 2.994,
1024
+ "step": 136000
1025
+ },
1026
+ {
1027
+ "epoch": 7.37,
1028
+ "grad_norm": 0.22931870818138123,
1029
+ "learning_rate": 0.0006912116040955631,
1030
+ "loss": 2.9985,
1031
+ "step": 137000
1032
+ },
1033
+ {
1034
+ "epoch": 7.42,
1035
+ "grad_norm": 0.24787016212940216,
1036
+ "learning_rate": 0.0006882693891961869,
1037
+ "loss": 3.0026,
1038
+ "step": 138000
1039
+ },
1040
+ {
1041
+ "epoch": 7.48,
1042
+ "grad_norm": 0.2541216313838959,
1043
+ "learning_rate": 0.0006853301165117101,
1044
+ "loss": 3.0017,
1045
+ "step": 139000
1046
+ },
1047
+ {
1048
+ "epoch": 7.53,
1049
+ "grad_norm": 0.2567012906074524,
1050
+ "learning_rate": 0.0006823908438272332,
1051
+ "loss": 3.0041,
1052
+ "step": 140000
1053
+ },
1054
+ {
1055
+ "epoch": 7.58,
1056
+ "grad_norm": 0.24575956165790558,
1057
+ "learning_rate": 0.0006794486289278569,
1058
+ "loss": 3.0037,
1059
+ "step": 141000
1060
+ },
1061
+ {
1062
+ "epoch": 7.64,
1063
+ "grad_norm": 0.2628481984138489,
1064
+ "learning_rate": 0.00067650935624338,
1065
+ "loss": 3.0091,
1066
+ "step": 142000
1067
+ },
1068
+ {
1069
+ "epoch": 7.69,
1070
+ "grad_norm": 0.26017704606056213,
1071
+ "learning_rate": 0.0006735671413440038,
1072
+ "loss": 3.0077,
1073
+ "step": 143000
1074
+ },
1075
+ {
1076
+ "epoch": 7.74,
1077
+ "grad_norm": 0.2303098738193512,
1078
+ "learning_rate": 0.0006706249264446276,
1079
+ "loss": 3.0087,
1080
+ "step": 144000
1081
+ },
1082
+ {
1083
+ "epoch": 7.8,
1084
+ "grad_norm": 0.25814709067344666,
1085
+ "learning_rate": 0.0006676856537601506,
1086
+ "loss": 3.0141,
1087
+ "step": 145000
1088
+ },
1089
+ {
1090
+ "epoch": 7.85,
1091
+ "grad_norm": 0.2519998848438263,
1092
+ "learning_rate": 0.0006647434388607744,
1093
+ "loss": 3.0091,
1094
+ "step": 146000
1095
+ },
1096
+ {
1097
+ "epoch": 7.91,
1098
+ "grad_norm": 0.23445440828800201,
1099
+ "learning_rate": 0.0006618012239613982,
1100
+ "loss": 3.0127,
1101
+ "step": 147000
1102
+ },
1103
+ {
1104
+ "epoch": 7.96,
1105
+ "grad_norm": 0.22559377551078796,
1106
+ "learning_rate": 0.0006588590090620219,
1107
+ "loss": 3.0098,
1108
+ "step": 148000
1109
+ },
1110
+ {
1111
+ "epoch": 8.0,
1112
+ "eval_accuracy": 0.40905872638582946,
1113
+ "eval_loss": 3.33290433883667,
1114
+ "eval_runtime": 153.3565,
1115
+ "eval_samples_per_second": 377.676,
1116
+ "eval_steps_per_second": 5.901,
1117
+ "step": 148752
1118
+ },
1119
+ {
1120
+ "epoch": 8.01,
1121
+ "grad_norm": 0.2889389097690582,
1122
+ "learning_rate": 0.000655919736377545,
1123
+ "loss": 2.9968,
1124
+ "step": 149000
1125
+ },
1126
+ {
1127
+ "epoch": 8.07,
1128
+ "grad_norm": 0.24556472897529602,
1129
+ "learning_rate": 0.0006529804636930682,
1130
+ "loss": 2.9443,
1131
+ "step": 150000
1132
+ },
1133
+ {
1134
+ "epoch": 8.12,
1135
+ "grad_norm": 0.23049430549144745,
1136
+ "learning_rate": 0.0006500382487936918,
1137
+ "loss": 2.9508,
1138
+ "step": 151000
1139
+ },
1140
+ {
1141
+ "epoch": 8.17,
1142
+ "grad_norm": 0.23687225580215454,
1143
+ "learning_rate": 0.0006470960338943157,
1144
+ "loss": 2.9559,
1145
+ "step": 152000
1146
+ },
1147
+ {
1148
+ "epoch": 8.23,
1149
+ "grad_norm": 0.24977627396583557,
1150
+ "learning_rate": 0.0006441538189949394,
1151
+ "loss": 2.9594,
1152
+ "step": 153000
1153
+ },
1154
+ {
1155
+ "epoch": 8.28,
1156
+ "grad_norm": 0.2544060945510864,
1157
+ "learning_rate": 0.0006412145463104624,
1158
+ "loss": 2.9649,
1159
+ "step": 154000
1160
+ },
1161
+ {
1162
+ "epoch": 8.34,
1163
+ "grad_norm": 0.2694548964500427,
1164
+ "learning_rate": 0.0006382723314110863,
1165
+ "loss": 2.9691,
1166
+ "step": 155000
1167
+ },
1168
+ {
1169
+ "epoch": 8.39,
1170
+ "grad_norm": 0.24550598859786987,
1171
+ "learning_rate": 0.00063533011651171,
1172
+ "loss": 2.9692,
1173
+ "step": 156000
1174
+ },
1175
+ {
1176
+ "epoch": 8.44,
1177
+ "grad_norm": 0.32097670435905457,
1178
+ "learning_rate": 0.0006323879016123337,
1179
+ "loss": 2.9721,
1180
+ "step": 157000
1181
+ },
1182
+ {
1183
+ "epoch": 8.5,
1184
+ "grad_norm": 0.2392505705356598,
1185
+ "learning_rate": 0.000629448628927857,
1186
+ "loss": 2.976,
1187
+ "step": 158000
1188
+ },
1189
+ {
1190
+ "epoch": 8.55,
1191
+ "grad_norm": 0.24632832407951355,
1192
+ "learning_rate": 0.0006265064140284806,
1193
+ "loss": 2.9734,
1194
+ "step": 159000
1195
+ },
1196
+ {
1197
+ "epoch": 8.6,
1198
+ "grad_norm": 0.2416047602891922,
1199
+ "learning_rate": 0.0006235671413440038,
1200
+ "loss": 2.9778,
1201
+ "step": 160000
1202
+ },
1203
+ {
1204
+ "epoch": 8.66,
1205
+ "grad_norm": 0.2523684799671173,
1206
+ "learning_rate": 0.0006206278686595269,
1207
+ "loss": 2.9851,
1208
+ "step": 161000
1209
+ },
1210
+ {
1211
+ "epoch": 8.71,
1212
+ "grad_norm": 0.23185420036315918,
1213
+ "learning_rate": 0.0006176856537601506,
1214
+ "loss": 2.9812,
1215
+ "step": 162000
1216
+ },
1217
+ {
1218
+ "epoch": 8.77,
1219
+ "grad_norm": 0.24621973931789398,
1220
+ "learning_rate": 0.0006147434388607744,
1221
+ "loss": 2.986,
1222
+ "step": 163000
1223
+ },
1224
+ {
1225
+ "epoch": 8.82,
1226
+ "grad_norm": 0.24415548145771027,
1227
+ "learning_rate": 0.0006118012239613982,
1228
+ "loss": 2.9836,
1229
+ "step": 164000
1230
+ },
1231
+ {
1232
+ "epoch": 8.87,
1233
+ "grad_norm": 0.2517019808292389,
1234
+ "learning_rate": 0.0006088590090620219,
1235
+ "loss": 2.9833,
1236
+ "step": 165000
1237
+ },
1238
+ {
1239
+ "epoch": 8.93,
1240
+ "grad_norm": 0.23550397157669067,
1241
+ "learning_rate": 0.0006059167941626457,
1242
+ "loss": 2.9857,
1243
+ "step": 166000
1244
+ },
1245
+ {
1246
+ "epoch": 8.98,
1247
+ "grad_norm": 0.26258397102355957,
1248
+ "learning_rate": 0.0006029775214781688,
1249
+ "loss": 2.9848,
1250
+ "step": 167000
1251
+ },
1252
+ {
1253
+ "epoch": 9.0,
1254
+ "eval_accuracy": 0.40959254582224486,
1255
+ "eval_loss": 3.3542630672454834,
1256
+ "eval_runtime": 153.6915,
1257
+ "eval_samples_per_second": 376.852,
1258
+ "eval_steps_per_second": 5.888,
1259
+ "step": 167346
1260
+ },
1261
+ {
1262
+ "epoch": 9.04,
1263
+ "grad_norm": 0.252084881067276,
1264
+ "learning_rate": 0.0006000353065787926,
1265
+ "loss": 2.9379,
1266
+ "step": 168000
1267
+ },
1268
+ {
1269
+ "epoch": 9.09,
1270
+ "grad_norm": 0.24115502834320068,
1271
+ "learning_rate": 0.0005970960338943156,
1272
+ "loss": 2.9231,
1273
+ "step": 169000
1274
+ },
1275
+ {
1276
+ "epoch": 9.14,
1277
+ "grad_norm": 0.2534337043762207,
1278
+ "learning_rate": 0.0005941538189949394,
1279
+ "loss": 2.9279,
1280
+ "step": 170000
1281
+ },
1282
+ {
1283
+ "epoch": 9.2,
1284
+ "grad_norm": 0.2916615307331085,
1285
+ "learning_rate": 0.0005912116040955632,
1286
+ "loss": 2.9315,
1287
+ "step": 171000
1288
+ },
1289
+ {
1290
+ "epoch": 9.25,
1291
+ "grad_norm": 0.27919089794158936,
1292
+ "learning_rate": 0.0005882693891961869,
1293
+ "loss": 2.9369,
1294
+ "step": 172000
1295
+ },
1296
+ {
1297
+ "epoch": 9.3,
1298
+ "grad_norm": 0.2634003460407257,
1299
+ "learning_rate": 0.00058533011651171,
1300
+ "loss": 2.9403,
1301
+ "step": 173000
1302
+ },
1303
+ {
1304
+ "epoch": 9.36,
1305
+ "grad_norm": 0.24581490457057953,
1306
+ "learning_rate": 0.0005823879016123338,
1307
+ "loss": 2.9463,
1308
+ "step": 174000
1309
+ },
1310
+ {
1311
+ "epoch": 9.41,
1312
+ "grad_norm": 0.24444222450256348,
1313
+ "learning_rate": 0.0005794486289278568,
1314
+ "loss": 2.9446,
1315
+ "step": 175000
1316
+ },
1317
+ {
1318
+ "epoch": 9.47,
1319
+ "grad_norm": 0.24242326617240906,
1320
+ "learning_rate": 0.0005765093562433801,
1321
+ "loss": 2.9463,
1322
+ "step": 176000
1323
+ },
1324
+ {
1325
+ "epoch": 9.52,
1326
+ "grad_norm": 0.2594030499458313,
1327
+ "learning_rate": 0.0005735671413440038,
1328
+ "loss": 2.9493,
1329
+ "step": 177000
1330
+ },
1331
+ {
1332
+ "epoch": 9.57,
1333
+ "grad_norm": 0.24433520436286926,
1334
+ "learning_rate": 0.0005706249264446274,
1335
+ "loss": 2.9532,
1336
+ "step": 178000
1337
+ },
1338
+ {
1339
+ "epoch": 9.63,
1340
+ "grad_norm": 0.27443036437034607,
1341
+ "learning_rate": 0.0005676856537601507,
1342
+ "loss": 2.9507,
1343
+ "step": 179000
1344
+ },
1345
+ {
1346
+ "epoch": 9.68,
1347
+ "grad_norm": 0.2567445933818817,
1348
+ "learning_rate": 0.0005647434388607744,
1349
+ "loss": 2.9515,
1350
+ "step": 180000
1351
+ },
1352
+ {
1353
+ "epoch": 9.73,
1354
+ "grad_norm": 0.24765917658805847,
1355
+ "learning_rate": 0.000561801223961398,
1356
+ "loss": 2.9584,
1357
+ "step": 181000
1358
+ },
1359
+ {
1360
+ "epoch": 9.79,
1361
+ "grad_norm": 0.288038969039917,
1362
+ "learning_rate": 0.000558859009062022,
1363
+ "loss": 2.9558,
1364
+ "step": 182000
1365
+ },
1366
+ {
1367
+ "epoch": 9.84,
1368
+ "grad_norm": 0.24314820766448975,
1369
+ "learning_rate": 0.000555919736377545,
1370
+ "loss": 2.9545,
1371
+ "step": 183000
1372
+ },
1373
+ {
1374
+ "epoch": 9.9,
1375
+ "grad_norm": 0.23880471289157867,
1376
+ "learning_rate": 0.0005529775214781688,
1377
+ "loss": 2.9559,
1378
+ "step": 184000
1379
+ },
1380
+ {
1381
+ "epoch": 9.95,
1382
+ "grad_norm": 0.24601146578788757,
1383
+ "learning_rate": 0.0005500382487936919,
1384
+ "loss": 2.9607,
1385
+ "step": 185000
1386
+ },
1387
+ {
1388
+ "epoch": 10.0,
1389
+ "eval_accuracy": 0.4101945538728009,
1390
+ "eval_loss": 3.3317415714263916,
1391
+ "eval_runtime": 153.5202,
1392
+ "eval_samples_per_second": 377.273,
1393
+ "eval_steps_per_second": 5.895,
1394
+ "step": 185940
1395
+ },
1396
+ {
1397
+ "epoch": 10.0,
1398
+ "grad_norm": 0.27554717659950256,
1399
+ "learning_rate": 0.0005470960338943156,
1400
+ "loss": 2.9568,
1401
+ "step": 186000
1402
+ },
1403
+ {
1404
+ "epoch": 10.06,
1405
+ "grad_norm": 0.2996651530265808,
1406
+ "learning_rate": 0.0005441538189949394,
1407
+ "loss": 2.8922,
1408
+ "step": 187000
1409
+ },
1410
+ {
1411
+ "epoch": 10.11,
1412
+ "grad_norm": 0.26455074548721313,
1413
+ "learning_rate": 0.0005412145463104625,
1414
+ "loss": 2.9033,
1415
+ "step": 188000
1416
+ },
1417
+ {
1418
+ "epoch": 10.16,
1419
+ "grad_norm": 0.2427845299243927,
1420
+ "learning_rate": 0.0005382723314110862,
1421
+ "loss": 2.9029,
1422
+ "step": 189000
1423
+ },
1424
+ {
1425
+ "epoch": 10.22,
1426
+ "grad_norm": 0.27417176961898804,
1427
+ "learning_rate": 0.00053533011651171,
1428
+ "loss": 2.9121,
1429
+ "step": 190000
1430
+ },
1431
+ {
1432
+ "epoch": 10.27,
1433
+ "grad_norm": 0.2733907997608185,
1434
+ "learning_rate": 0.0005323908438272331,
1435
+ "loss": 2.9135,
1436
+ "step": 191000
1437
+ },
1438
+ {
1439
+ "epoch": 10.33,
1440
+ "grad_norm": 0.23740702867507935,
1441
+ "learning_rate": 0.0005294486289278569,
1442
+ "loss": 2.9194,
1443
+ "step": 192000
1444
+ },
1445
+ {
1446
+ "epoch": 10.38,
1447
+ "grad_norm": 0.2555631101131439,
1448
+ "learning_rate": 0.0005265064140284806,
1449
+ "loss": 2.9217,
1450
+ "step": 193000
1451
+ },
1452
+ {
1453
+ "epoch": 10.43,
1454
+ "grad_norm": 0.2792896628379822,
1455
+ "learning_rate": 0.0005235641991291044,
1456
+ "loss": 2.9207,
1457
+ "step": 194000
1458
+ },
1459
+ {
1460
+ "epoch": 10.49,
1461
+ "grad_norm": 0.258811891078949,
1462
+ "learning_rate": 0.0005206219842297282,
1463
+ "loss": 2.9201,
1464
+ "step": 195000
1465
+ },
1466
+ {
1467
+ "epoch": 10.54,
1468
+ "grad_norm": 0.24523362517356873,
1469
+ "learning_rate": 0.0005176827115452512,
1470
+ "loss": 2.9262,
1471
+ "step": 196000
1472
+ },
1473
+ {
1474
+ "epoch": 10.59,
1475
+ "grad_norm": 0.2545565664768219,
1476
+ "learning_rate": 0.0005147434388607743,
1477
+ "loss": 2.9292,
1478
+ "step": 197000
1479
+ },
1480
+ {
1481
+ "epoch": 10.65,
1482
+ "grad_norm": 0.26881828904151917,
1483
+ "learning_rate": 0.0005118012239613981,
1484
+ "loss": 2.9308,
1485
+ "step": 198000
1486
+ },
1487
+ {
1488
+ "epoch": 10.7,
1489
+ "grad_norm": 0.2478063404560089,
1490
+ "learning_rate": 0.0005088590090620218,
1491
+ "loss": 2.9275,
1492
+ "step": 199000
1493
+ },
1494
+ {
1495
+ "epoch": 10.76,
1496
+ "grad_norm": 0.2736205756664276,
1497
+ "learning_rate": 0.0005059197363775451,
1498
+ "loss": 2.9303,
1499
+ "step": 200000
1500
+ },
1501
+ {
1502
+ "epoch": 10.81,
1503
+ "grad_norm": 0.2818506360054016,
1504
+ "learning_rate": 0.0005029804636930682,
1505
+ "loss": 2.9356,
1506
+ "step": 201000
1507
+ },
1508
+ {
1509
+ "epoch": 10.86,
1510
+ "grad_norm": 0.27006179094314575,
1511
+ "learning_rate": 0.0005000382487936919,
1512
+ "loss": 2.934,
1513
+ "step": 202000
1514
+ },
1515
+ {
1516
+ "epoch": 10.92,
1517
+ "grad_norm": 0.2664320766925812,
1518
+ "learning_rate": 0.0004970960338943157,
1519
+ "loss": 2.933,
1520
+ "step": 203000
1521
+ },
1522
+ {
1523
+ "epoch": 10.97,
1524
+ "grad_norm": 0.25513389706611633,
1525
+ "learning_rate": 0.0004941538189949394,
1526
+ "loss": 2.9381,
1527
+ "step": 204000
1528
+ },
1529
+ {
1530
+ "epoch": 11.0,
1531
+ "eval_accuracy": 0.40957044330593717,
1532
+ "eval_loss": 3.350923538208008,
1533
+ "eval_runtime": 153.3706,
1534
+ "eval_samples_per_second": 377.641,
1535
+ "eval_steps_per_second": 5.901,
1536
+ "step": 204534
1537
+ },
1538
+ {
1539
+ "epoch": 11.03,
1540
+ "grad_norm": 0.26754114031791687,
1541
+ "learning_rate": 0.0004912145463104625,
1542
+ "loss": 2.9064,
1543
+ "step": 205000
1544
+ },
1545
+ {
1546
+ "epoch": 11.08,
1547
+ "grad_norm": 0.24352851510047913,
1548
+ "learning_rate": 0.0004882752736259857,
1549
+ "loss": 2.8732,
1550
+ "step": 206000
1551
+ },
1552
+ {
1553
+ "epoch": 11.13,
1554
+ "grad_norm": 0.28722500801086426,
1555
+ "learning_rate": 0.00048533305872660936,
1556
+ "loss": 2.8768,
1557
+ "step": 207000
1558
+ },
1559
+ {
1560
+ "epoch": 11.19,
1561
+ "grad_norm": 0.2741190195083618,
1562
+ "learning_rate": 0.00048239084382723315,
1563
+ "loss": 2.89,
1564
+ "step": 208000
1565
+ },
1566
+ {
1567
+ "epoch": 11.24,
1568
+ "grad_norm": 0.24753689765930176,
1569
+ "learning_rate": 0.0004794486289278569,
1570
+ "loss": 2.8889,
1571
+ "step": 209000
1572
+ },
1573
+ {
1574
+ "epoch": 11.29,
1575
+ "grad_norm": 0.2748933732509613,
1576
+ "learning_rate": 0.0004765064140284807,
1577
+ "loss": 2.8924,
1578
+ "step": 210000
1579
+ },
1580
+ {
1581
+ "epoch": 11.35,
1582
+ "grad_norm": 0.2736218273639679,
1583
+ "learning_rate": 0.00047356714134400376,
1584
+ "loss": 2.8966,
1585
+ "step": 211000
1586
+ },
1587
+ {
1588
+ "epoch": 11.4,
1589
+ "grad_norm": 0.2917451858520508,
1590
+ "learning_rate": 0.0004706278686595269,
1591
+ "loss": 2.9008,
1592
+ "step": 212000
1593
+ },
1594
+ {
1595
+ "epoch": 11.46,
1596
+ "grad_norm": 0.2701798677444458,
1597
+ "learning_rate": 0.00046768565376015063,
1598
+ "loss": 2.9027,
1599
+ "step": 213000
1600
+ },
1601
+ {
1602
+ "epoch": 11.51,
1603
+ "grad_norm": 0.2652759253978729,
1604
+ "learning_rate": 0.00046474343886077443,
1605
+ "loss": 2.9006,
1606
+ "step": 214000
1607
+ },
1608
+ {
1609
+ "epoch": 11.56,
1610
+ "grad_norm": 0.26413607597351074,
1611
+ "learning_rate": 0.00046180122396139817,
1612
+ "loss": 2.9066,
1613
+ "step": 215000
1614
+ },
1615
+ {
1616
+ "epoch": 11.62,
1617
+ "grad_norm": 0.2796526253223419,
1618
+ "learning_rate": 0.0004588590090620219,
1619
+ "loss": 2.9042,
1620
+ "step": 216000
1621
+ },
1622
+ {
1623
+ "epoch": 11.67,
1624
+ "grad_norm": 0.3159005343914032,
1625
+ "learning_rate": 0.00045591679416264564,
1626
+ "loss": 2.9055,
1627
+ "step": 217000
1628
+ },
1629
+ {
1630
+ "epoch": 11.72,
1631
+ "grad_norm": 0.25383687019348145,
1632
+ "learning_rate": 0.0004529775214781688,
1633
+ "loss": 2.9056,
1634
+ "step": 218000
1635
+ },
1636
+ {
1637
+ "epoch": 11.78,
1638
+ "grad_norm": 0.2639722228050232,
1639
+ "learning_rate": 0.00045003530657879257,
1640
+ "loss": 2.9099,
1641
+ "step": 219000
1642
+ },
1643
+ {
1644
+ "epoch": 11.83,
1645
+ "grad_norm": 0.26410508155822754,
1646
+ "learning_rate": 0.00044709603389431565,
1647
+ "loss": 2.9112,
1648
+ "step": 220000
1649
+ },
1650
+ {
1651
+ "epoch": 11.89,
1652
+ "grad_norm": 0.24445202946662903,
1653
+ "learning_rate": 0.0004441567612098388,
1654
+ "loss": 2.9146,
1655
+ "step": 221000
1656
+ },
1657
+ {
1658
+ "epoch": 11.94,
1659
+ "grad_norm": 0.28658202290534973,
1660
+ "learning_rate": 0.0004412145463104625,
1661
+ "loss": 2.9141,
1662
+ "step": 222000
1663
+ },
1664
+ {
1665
+ "epoch": 11.99,
1666
+ "grad_norm": 0.2550143301486969,
1667
+ "learning_rate": 0.0004382723314110863,
1668
+ "loss": 2.9132,
1669
+ "step": 223000
1670
+ },
1671
+ {
1672
+ "epoch": 12.0,
1673
+ "eval_accuracy": 0.41063586520904716,
1674
+ "eval_loss": 3.338320255279541,
1675
+ "eval_runtime": 153.6675,
1676
+ "eval_samples_per_second": 376.911,
1677
+ "eval_steps_per_second": 5.889,
1678
+ "step": 223128
1679
+ },
1680
+ {
1681
+ "epoch": 12.05,
1682
+ "grad_norm": 0.2587660253047943,
1683
+ "learning_rate": 0.0004353330587266094,
1684
+ "loss": 2.8589,
1685
+ "step": 224000
1686
+ },
1687
+ {
1688
+ "epoch": 12.1,
1689
+ "grad_norm": 0.3176356554031372,
1690
+ "learning_rate": 0.00043239084382723313,
1691
+ "loss": 2.8592,
1692
+ "step": 225000
1693
+ },
1694
+ {
1695
+ "epoch": 12.15,
1696
+ "grad_norm": 0.27508774399757385,
1697
+ "learning_rate": 0.0004294486289278569,
1698
+ "loss": 2.864,
1699
+ "step": 226000
1700
+ },
1701
+ {
1702
+ "epoch": 12.21,
1703
+ "grad_norm": 0.24548423290252686,
1704
+ "learning_rate": 0.00042650641402848066,
1705
+ "loss": 2.8653,
1706
+ "step": 227000
1707
+ },
1708
+ {
1709
+ "epoch": 12.26,
1710
+ "grad_norm": 0.2932184338569641,
1711
+ "learning_rate": 0.00042356714134400374,
1712
+ "loss": 2.8716,
1713
+ "step": 228000
1714
+ },
1715
+ {
1716
+ "epoch": 12.32,
1717
+ "grad_norm": 0.2907082736492157,
1718
+ "learning_rate": 0.00042062492644462753,
1719
+ "loss": 2.8733,
1720
+ "step": 229000
1721
+ },
1722
+ {
1723
+ "epoch": 12.37,
1724
+ "grad_norm": 0.2678309679031372,
1725
+ "learning_rate": 0.00041768565376015067,
1726
+ "loss": 2.8772,
1727
+ "step": 230000
1728
+ },
1729
+ {
1730
+ "epoch": 12.42,
1731
+ "grad_norm": 0.3048242926597595,
1732
+ "learning_rate": 0.0004147434388607744,
1733
+ "loss": 2.8825,
1734
+ "step": 231000
1735
+ },
1736
+ {
1737
+ "epoch": 12.48,
1738
+ "grad_norm": 0.30734652280807495,
1739
+ "learning_rate": 0.00041180122396139814,
1740
+ "loss": 2.8826,
1741
+ "step": 232000
1742
+ },
1743
+ {
1744
+ "epoch": 12.53,
1745
+ "grad_norm": 0.28315410017967224,
1746
+ "learning_rate": 0.0004088590090620219,
1747
+ "loss": 2.8808,
1748
+ "step": 233000
1749
+ },
1750
+ {
1751
+ "epoch": 12.58,
1752
+ "grad_norm": 0.2624458074569702,
1753
+ "learning_rate": 0.0004059167941626457,
1754
+ "loss": 2.8826,
1755
+ "step": 234000
1756
+ },
1757
+ {
1758
+ "epoch": 12.64,
1759
+ "grad_norm": 0.2700469195842743,
1760
+ "learning_rate": 0.0004029775214781688,
1761
+ "loss": 2.8829,
1762
+ "step": 235000
1763
+ },
1764
+ {
1765
+ "epoch": 12.69,
1766
+ "grad_norm": 0.27669405937194824,
1767
+ "learning_rate": 0.0004000382487936919,
1768
+ "loss": 2.8901,
1769
+ "step": 236000
1770
+ },
1771
+ {
1772
+ "epoch": 12.75,
1773
+ "grad_norm": 0.2921361029148102,
1774
+ "learning_rate": 0.0003970960338943156,
1775
+ "loss": 2.8869,
1776
+ "step": 237000
1777
+ },
1778
+ {
1779
+ "epoch": 12.8,
1780
+ "grad_norm": 0.2814725339412689,
1781
+ "learning_rate": 0.00039415970342473815,
1782
+ "loss": 2.8884,
1783
+ "step": 238000
1784
+ },
1785
+ {
1786
+ "epoch": 12.85,
1787
+ "grad_norm": 0.2902793288230896,
1788
+ "learning_rate": 0.0003912174885253619,
1789
+ "loss": 2.8909,
1790
+ "step": 239000
1791
+ },
1792
+ {
1793
+ "epoch": 12.91,
1794
+ "grad_norm": 0.28354400396347046,
1795
+ "learning_rate": 0.00038827527362598563,
1796
+ "loss": 2.8936,
1797
+ "step": 240000
1798
+ },
1799
+ {
1800
+ "epoch": 12.96,
1801
+ "grad_norm": 0.2816365659236908,
1802
+ "learning_rate": 0.0003853330587266094,
1803
+ "loss": 2.8884,
1804
+ "step": 241000
1805
+ },
1806
+ {
1807
+ "epoch": 13.0,
1808
+ "eval_accuracy": 0.41050620607082894,
1809
+ "eval_loss": 3.377206563949585,
1810
+ "eval_runtime": 153.5063,
1811
+ "eval_samples_per_second": 377.307,
1812
+ "eval_steps_per_second": 5.896,
1813
+ "step": 241722
1814
+ },
1815
+ {
1816
+ "epoch": 13.01,
1817
+ "grad_norm": 0.2734642028808594,
1818
+ "learning_rate": 0.00038239084382723316,
1819
+ "loss": 2.8709,
1820
+ "step": 242000
1821
+ },
1822
+ {
1823
+ "epoch": 13.07,
1824
+ "grad_norm": 0.2819451093673706,
1825
+ "learning_rate": 0.0003794486289278569,
1826
+ "loss": 2.8397,
1827
+ "step": 243000
1828
+ },
1829
+ {
1830
+ "epoch": 13.12,
1831
+ "grad_norm": 0.27505162358283997,
1832
+ "learning_rate": 0.00037650935624338003,
1833
+ "loss": 2.8417,
1834
+ "step": 244000
1835
+ },
1836
+ {
1837
+ "epoch": 13.18,
1838
+ "grad_norm": 0.29253360629081726,
1839
+ "learning_rate": 0.00037356714134400377,
1840
+ "loss": 2.8452,
1841
+ "step": 245000
1842
+ },
1843
+ {
1844
+ "epoch": 13.23,
1845
+ "grad_norm": 0.3059943914413452,
1846
+ "learning_rate": 0.0003706249264446275,
1847
+ "loss": 2.8485,
1848
+ "step": 246000
1849
+ },
1850
+ {
1851
+ "epoch": 13.28,
1852
+ "grad_norm": 0.2858084440231323,
1853
+ "learning_rate": 0.0003676827115452513,
1854
+ "loss": 2.8468,
1855
+ "step": 247000
1856
+ },
1857
+ {
1858
+ "epoch": 13.34,
1859
+ "grad_norm": 0.309132844209671,
1860
+ "learning_rate": 0.0003647434388607744,
1861
+ "loss": 2.8587,
1862
+ "step": 248000
1863
+ },
1864
+ {
1865
+ "epoch": 13.39,
1866
+ "grad_norm": 0.26341453194618225,
1867
+ "learning_rate": 0.0003618012239613981,
1868
+ "loss": 2.8549,
1869
+ "step": 249000
1870
+ },
1871
+ {
1872
+ "epoch": 13.45,
1873
+ "grad_norm": 0.3062613904476166,
1874
+ "learning_rate": 0.0003588619512769213,
1875
+ "loss": 2.8604,
1876
+ "step": 250000
1877
+ },
1878
+ {
1879
+ "epoch": 13.5,
1880
+ "grad_norm": 0.27354612946510315,
1881
+ "learning_rate": 0.00035591973637754505,
1882
+ "loss": 2.8607,
1883
+ "step": 251000
1884
+ },
1885
+ {
1886
+ "epoch": 13.55,
1887
+ "grad_norm": 0.2829759418964386,
1888
+ "learning_rate": 0.0003529804636930681,
1889
+ "loss": 2.8609,
1890
+ "step": 252000
1891
+ },
1892
+ {
1893
+ "epoch": 13.61,
1894
+ "grad_norm": 0.28467702865600586,
1895
+ "learning_rate": 0.0003500382487936919,
1896
+ "loss": 2.8668,
1897
+ "step": 253000
1898
+ },
1899
+ {
1900
+ "epoch": 13.66,
1901
+ "grad_norm": 0.2903009057044983,
1902
+ "learning_rate": 0.00034709603389431566,
1903
+ "loss": 2.8623,
1904
+ "step": 254000
1905
+ },
1906
+ {
1907
+ "epoch": 13.71,
1908
+ "grad_norm": 0.31163880228996277,
1909
+ "learning_rate": 0.0003441538189949394,
1910
+ "loss": 2.8682,
1911
+ "step": 255000
1912
+ },
1913
+ {
1914
+ "epoch": 13.77,
1915
+ "grad_norm": 0.2995510995388031,
1916
+ "learning_rate": 0.00034121454631046253,
1917
+ "loss": 2.8678,
1918
+ "step": 256000
1919
+ },
1920
+ {
1921
+ "epoch": 13.82,
1922
+ "grad_norm": 0.295254111289978,
1923
+ "learning_rate": 0.00033827233141108627,
1924
+ "loss": 2.8731,
1925
+ "step": 257000
1926
+ },
1927
+ {
1928
+ "epoch": 13.88,
1929
+ "grad_norm": 0.2773347795009613,
1930
+ "learning_rate": 0.0003353330587266094,
1931
+ "loss": 2.8722,
1932
+ "step": 258000
1933
+ },
1934
+ {
1935
+ "epoch": 13.93,
1936
+ "grad_norm": 0.2755262851715088,
1937
+ "learning_rate": 0.0003323908438272332,
1938
+ "loss": 2.8707,
1939
+ "step": 259000
1940
+ },
1941
+ {
1942
+ "epoch": 13.98,
1943
+ "grad_norm": 0.27530667185783386,
1944
+ "learning_rate": 0.0003294486289278569,
1945
+ "loss": 2.8698,
1946
+ "step": 260000
1947
+ },
1948
+ {
1949
+ "epoch": 14.0,
1950
+ "eval_accuracy": 0.4117409910244301,
1951
+ "eval_loss": 3.3456804752349854,
1952
+ "eval_runtime": 153.4816,
1953
+ "eval_samples_per_second": 377.368,
1954
+ "eval_steps_per_second": 5.896,
1955
+ "step": 260316
1956
+ },
1957
+ {
1958
+ "epoch": 14.04,
1959
+ "grad_norm": 0.2921120524406433,
1960
+ "learning_rate": 0.0003265064140284806,
1961
+ "loss": 2.8368,
1962
+ "step": 261000
1963
+ },
1964
+ {
1965
+ "epoch": 14.09,
1966
+ "grad_norm": 0.28521835803985596,
1967
+ "learning_rate": 0.0003235671413440038,
1968
+ "loss": 2.826,
1969
+ "step": 262000
1970
+ },
1971
+ {
1972
+ "epoch": 14.14,
1973
+ "grad_norm": 0.3207342326641083,
1974
+ "learning_rate": 0.00032062786865952694,
1975
+ "loss": 2.8255,
1976
+ "step": 263000
1977
+ },
1978
+ {
1979
+ "epoch": 14.2,
1980
+ "grad_norm": 0.3034232258796692,
1981
+ "learning_rate": 0.0003176856537601506,
1982
+ "loss": 2.8267,
1983
+ "step": 264000
1984
+ },
1985
+ {
1986
+ "epoch": 14.25,
1987
+ "grad_norm": 0.28970643877983093,
1988
+ "learning_rate": 0.0003147434388607744,
1989
+ "loss": 2.8332,
1990
+ "step": 265000
1991
+ },
1992
+ {
1993
+ "epoch": 14.31,
1994
+ "grad_norm": 0.31462568044662476,
1995
+ "learning_rate": 0.00031180122396139815,
1996
+ "loss": 2.833,
1997
+ "step": 266000
1998
+ },
1999
+ {
2000
+ "epoch": 14.36,
2001
+ "grad_norm": 0.31881943345069885,
2002
+ "learning_rate": 0.0003088590090620219,
2003
+ "loss": 2.8384,
2004
+ "step": 267000
2005
+ },
2006
+ {
2007
+ "epoch": 14.41,
2008
+ "grad_norm": 0.31022316217422485,
2009
+ "learning_rate": 0.0003059167941626457,
2010
+ "loss": 2.8363,
2011
+ "step": 268000
2012
+ },
2013
+ {
2014
+ "epoch": 14.47,
2015
+ "grad_norm": 0.2837056815624237,
2016
+ "learning_rate": 0.00030297752147816876,
2017
+ "loss": 2.8413,
2018
+ "step": 269000
2019
+ },
2020
+ {
2021
+ "epoch": 14.52,
2022
+ "grad_norm": 0.2785826325416565,
2023
+ "learning_rate": 0.0003000382487936919,
2024
+ "loss": 2.8413,
2025
+ "step": 270000
2026
+ },
2027
+ {
2028
+ "epoch": 14.57,
2029
+ "grad_norm": 0.28700125217437744,
2030
+ "learning_rate": 0.0002970960338943157,
2031
+ "loss": 2.8427,
2032
+ "step": 271000
2033
+ },
2034
+ {
2035
+ "epoch": 14.63,
2036
+ "grad_norm": 0.2973004877567291,
2037
+ "learning_rate": 0.00029415676120983877,
2038
+ "loss": 2.843,
2039
+ "step": 272000
2040
+ },
2041
+ {
2042
+ "epoch": 14.68,
2043
+ "grad_norm": 0.2778867185115814,
2044
+ "learning_rate": 0.0002912145463104625,
2045
+ "loss": 2.8442,
2046
+ "step": 273000
2047
+ },
2048
+ {
2049
+ "epoch": 14.74,
2050
+ "grad_norm": 0.2906304895877838,
2051
+ "learning_rate": 0.0002882723314110863,
2052
+ "loss": 2.8471,
2053
+ "step": 274000
2054
+ },
2055
+ {
2056
+ "epoch": 14.79,
2057
+ "grad_norm": 0.2736400365829468,
2058
+ "learning_rate": 0.00028533305872660943,
2059
+ "loss": 2.8513,
2060
+ "step": 275000
2061
+ },
2062
+ {
2063
+ "epoch": 14.84,
2064
+ "grad_norm": 0.26769936084747314,
2065
+ "learning_rate": 0.0002823908438272331,
2066
+ "loss": 2.8502,
2067
+ "step": 276000
2068
+ },
2069
+ {
2070
+ "epoch": 14.9,
2071
+ "grad_norm": 0.27321502566337585,
2072
+ "learning_rate": 0.00027945157114275625,
2073
+ "loss": 2.8543,
2074
+ "step": 277000
2075
+ },
2076
+ {
2077
+ "epoch": 14.95,
2078
+ "grad_norm": 0.3363865911960602,
2079
+ "learning_rate": 0.00027650935624338004,
2080
+ "loss": 2.8512,
2081
+ "step": 278000
2082
+ },
2083
+ {
2084
+ "epoch": 15.0,
2085
+ "eval_accuracy": 0.41095604938145536,
2086
+ "eval_loss": 3.3591506481170654,
2087
+ "eval_runtime": 153.9239,
2088
+ "eval_samples_per_second": 376.283,
2089
+ "eval_steps_per_second": 5.88,
2090
+ "step": 278910
2091
+ },
2092
+ {
2093
+ "epoch": 15.0,
2094
+ "grad_norm": 0.2882598042488098,
2095
+ "learning_rate": 0.0002735700835589032,
2096
+ "loss": 2.8467,
2097
+ "step": 279000
2098
+ },
2099
+ {
2100
+ "epoch": 15.06,
2101
+ "grad_norm": 0.3232513964176178,
2102
+ "learning_rate": 0.00027062786865952686,
2103
+ "loss": 2.8004,
2104
+ "step": 280000
2105
+ },
2106
+ {
2107
+ "epoch": 15.11,
2108
+ "grad_norm": 0.296671986579895,
2109
+ "learning_rate": 0.00026768565376015065,
2110
+ "loss": 2.8081,
2111
+ "step": 281000
2112
+ },
2113
+ {
2114
+ "epoch": 15.17,
2115
+ "grad_norm": 0.2888088822364807,
2116
+ "learning_rate": 0.0002647434388607744,
2117
+ "loss": 2.8074,
2118
+ "step": 282000
2119
+ },
2120
+ {
2121
+ "epoch": 15.22,
2122
+ "grad_norm": 0.30186396837234497,
2123
+ "learning_rate": 0.0002618041661762975,
2124
+ "loss": 2.8142,
2125
+ "step": 283000
2126
+ },
2127
+ {
2128
+ "epoch": 15.27,
2129
+ "grad_norm": 0.310922235250473,
2130
+ "learning_rate": 0.00025886195127692126,
2131
+ "loss": 2.8164,
2132
+ "step": 284000
2133
+ },
2134
+ {
2135
+ "epoch": 15.33,
2136
+ "grad_norm": 0.2841443419456482,
2137
+ "learning_rate": 0.000255919736377545,
2138
+ "loss": 2.8191,
2139
+ "step": 285000
2140
+ },
2141
+ {
2142
+ "epoch": 15.38,
2143
+ "grad_norm": 0.3377715051174164,
2144
+ "learning_rate": 0.00025298046369306813,
2145
+ "loss": 2.8195,
2146
+ "step": 286000
2147
+ },
2148
+ {
2149
+ "epoch": 15.44,
2150
+ "grad_norm": 0.2865951359272003,
2151
+ "learning_rate": 0.00025003824879369193,
2152
+ "loss": 2.8266,
2153
+ "step": 287000
2154
+ },
2155
+ {
2156
+ "epoch": 15.49,
2157
+ "grad_norm": 0.31996873021125793,
2158
+ "learning_rate": 0.00024709603389431567,
2159
+ "loss": 2.825,
2160
+ "step": 288000
2161
+ },
2162
+ {
2163
+ "epoch": 15.54,
2164
+ "grad_norm": 0.30408111214637756,
2165
+ "learning_rate": 0.0002441538189949394,
2166
+ "loss": 2.8227,
2167
+ "step": 289000
2168
+ },
2169
+ {
2170
+ "epoch": 15.6,
2171
+ "grad_norm": 0.2882407307624817,
2172
+ "learning_rate": 0.0002412174885253619,
2173
+ "loss": 2.8263,
2174
+ "step": 290000
2175
+ },
2176
+ {
2177
+ "epoch": 15.65,
2178
+ "grad_norm": 0.3298856019973755,
2179
+ "learning_rate": 0.00023827527362598564,
2180
+ "loss": 2.8313,
2181
+ "step": 291000
2182
+ },
2183
+ {
2184
+ "epoch": 15.7,
2185
+ "grad_norm": 0.28874561190605164,
2186
+ "learning_rate": 0.0002353330587266094,
2187
+ "loss": 2.8281,
2188
+ "step": 292000
2189
+ },
2190
+ {
2191
+ "epoch": 15.76,
2192
+ "grad_norm": 0.32142964005470276,
2193
+ "learning_rate": 0.00023239084382723312,
2194
+ "loss": 2.8289,
2195
+ "step": 293000
2196
+ },
2197
+ {
2198
+ "epoch": 15.81,
2199
+ "grad_norm": 0.3016972243785858,
2200
+ "learning_rate": 0.00022945157114275628,
2201
+ "loss": 2.8286,
2202
+ "step": 294000
2203
+ },
2204
+ {
2205
+ "epoch": 15.87,
2206
+ "grad_norm": 0.29328015446662903,
2207
+ "learning_rate": 0.00022650935624338002,
2208
+ "loss": 2.826,
2209
+ "step": 295000
2210
+ },
2211
+ {
2212
+ "epoch": 15.92,
2213
+ "grad_norm": 0.2902560830116272,
2214
+ "learning_rate": 0.00022356714134400378,
2215
+ "loss": 2.8349,
2216
+ "step": 296000
2217
+ },
2218
+ {
2219
+ "epoch": 15.97,
2220
+ "grad_norm": 0.32843369245529175,
2221
+ "learning_rate": 0.0002206278686595269,
2222
+ "loss": 2.828,
2223
+ "step": 297000
2224
+ },
2225
+ {
2226
+ "epoch": 16.0,
2227
+ "eval_accuracy": 0.4105747977703734,
2228
+ "eval_loss": 3.378222703933716,
2229
+ "eval_runtime": 153.6775,
2230
+ "eval_samples_per_second": 376.887,
2231
+ "eval_steps_per_second": 5.889,
2232
+ "step": 297504
2233
+ },
2234
+ {
2235
+ "epoch": 16.03,
2236
+ "grad_norm": 0.30167028307914734,
2237
+ "learning_rate": 0.00021768859597505003,
2238
+ "loss": 2.8067,
2239
+ "step": 298000
2240
+ },
2241
+ {
2242
+ "epoch": 16.08,
2243
+ "grad_norm": 0.30875760316848755,
2244
+ "learning_rate": 0.00021474638107567376,
2245
+ "loss": 2.7902,
2246
+ "step": 299000
2247
+ },
2248
+ {
2249
+ "epoch": 16.13,
2250
+ "grad_norm": 0.3411406874656677,
2251
+ "learning_rate": 0.0002118071083911969,
2252
+ "loss": 2.7937,
2253
+ "step": 300000
2254
+ },
2255
+ {
2256
+ "epoch": 16.19,
2257
+ "grad_norm": 0.2929510474205017,
2258
+ "learning_rate": 0.00020886489349182064,
2259
+ "loss": 2.7947,
2260
+ "step": 301000
2261
+ },
2262
+ {
2263
+ "epoch": 16.24,
2264
+ "grad_norm": 0.28705376386642456,
2265
+ "learning_rate": 0.0002059226785924444,
2266
+ "loss": 2.7961,
2267
+ "step": 302000
2268
+ },
2269
+ {
2270
+ "epoch": 16.3,
2271
+ "grad_norm": 0.3195827901363373,
2272
+ "learning_rate": 0.00020298046369306814,
2273
+ "loss": 2.7969,
2274
+ "step": 303000
2275
+ },
2276
+ {
2277
+ "epoch": 16.35,
2278
+ "grad_norm": 0.2913331389427185,
2279
+ "learning_rate": 0.0002000382487936919,
2280
+ "loss": 2.7994,
2281
+ "step": 304000
2282
+ },
2283
+ {
2284
+ "epoch": 16.4,
2285
+ "grad_norm": 0.3066113293170929,
2286
+ "learning_rate": 0.000197098976109215,
2287
+ "loss": 2.805,
2288
+ "step": 305000
2289
+ },
2290
+ {
2291
+ "epoch": 16.46,
2292
+ "grad_norm": 0.3010548949241638,
2293
+ "learning_rate": 0.00019415676120983878,
2294
+ "loss": 2.8019,
2295
+ "step": 306000
2296
+ },
2297
+ {
2298
+ "epoch": 16.51,
2299
+ "grad_norm": 0.30278268456459045,
2300
+ "learning_rate": 0.00019121748852536188,
2301
+ "loss": 2.8091,
2302
+ "step": 307000
2303
+ },
2304
+ {
2305
+ "epoch": 16.56,
2306
+ "grad_norm": 0.29156890511512756,
2307
+ "learning_rate": 0.00018827527362598565,
2308
+ "loss": 2.809,
2309
+ "step": 308000
2310
+ },
2311
+ {
2312
+ "epoch": 16.62,
2313
+ "grad_norm": 0.3008438050746918,
2314
+ "learning_rate": 0.0001853330587266094,
2315
+ "loss": 2.8096,
2316
+ "step": 309000
2317
+ },
2318
+ {
2319
+ "epoch": 16.67,
2320
+ "grad_norm": 0.3331317603588104,
2321
+ "learning_rate": 0.00018239084382723315,
2322
+ "loss": 2.8093,
2323
+ "step": 310000
2324
+ },
2325
+ {
2326
+ "epoch": 16.73,
2327
+ "grad_norm": 0.3314554691314697,
2328
+ "learning_rate": 0.00017945157114275626,
2329
+ "loss": 2.8056,
2330
+ "step": 311000
2331
+ },
2332
+ {
2333
+ "epoch": 16.78,
2334
+ "grad_norm": 0.2929142117500305,
2335
+ "learning_rate": 0.00017650935624338002,
2336
+ "loss": 2.8121,
2337
+ "step": 312000
2338
+ },
2339
+ {
2340
+ "epoch": 16.83,
2341
+ "grad_norm": 0.3265311121940613,
2342
+ "learning_rate": 0.00017357008355890313,
2343
+ "loss": 2.8153,
2344
+ "step": 313000
2345
+ },
2346
+ {
2347
+ "epoch": 16.89,
2348
+ "grad_norm": 0.306043416261673,
2349
+ "learning_rate": 0.0001706278686595269,
2350
+ "loss": 2.813,
2351
+ "step": 314000
2352
+ },
2353
+ {
2354
+ "epoch": 16.94,
2355
+ "grad_norm": 0.31978315114974976,
2356
+ "learning_rate": 0.00016768859597505,
2357
+ "loss": 2.8156,
2358
+ "step": 315000
2359
+ },
2360
+ {
2361
+ "epoch": 16.99,
2362
+ "grad_norm": 0.28355807065963745,
2363
+ "learning_rate": 0.00016474638107567377,
2364
+ "loss": 2.813,
2365
+ "step": 316000
2366
+ },
2367
+ {
2368
+ "epoch": 17.0,
2369
+ "eval_accuracy": 0.4109091571128148,
2370
+ "eval_loss": 3.377826452255249,
2371
+ "eval_runtime": 153.6131,
2372
+ "eval_samples_per_second": 377.045,
2373
+ "eval_steps_per_second": 5.891,
2374
+ "step": 316098
2375
+ },
2376
+ {
2377
+ "epoch": 17.05,
2378
+ "grad_norm": 0.296631783246994,
2379
+ "learning_rate": 0.0001618071083911969,
2380
+ "loss": 2.7755,
2381
+ "step": 317000
2382
+ },
2383
+ {
2384
+ "epoch": 17.1,
2385
+ "grad_norm": 0.3535520136356354,
2386
+ "learning_rate": 0.00015886489349182064,
2387
+ "loss": 2.7773,
2388
+ "step": 318000
2389
+ },
2390
+ {
2391
+ "epoch": 17.16,
2392
+ "grad_norm": 0.31634917855262756,
2393
+ "learning_rate": 0.00015592562080734377,
2394
+ "loss": 2.7776,
2395
+ "step": 319000
2396
+ },
2397
+ {
2398
+ "epoch": 17.21,
2399
+ "grad_norm": 0.33776313066482544,
2400
+ "learning_rate": 0.00015298340590796754,
2401
+ "loss": 2.7783,
2402
+ "step": 320000
2403
+ },
2404
+ {
2405
+ "epoch": 17.26,
2406
+ "grad_norm": 0.3450954258441925,
2407
+ "learning_rate": 0.00015004119100859125,
2408
+ "loss": 2.7816,
2409
+ "step": 321000
2410
+ },
2411
+ {
2412
+ "epoch": 17.32,
2413
+ "grad_norm": 0.2964255213737488,
2414
+ "learning_rate": 0.00014709897610921502,
2415
+ "loss": 2.7844,
2416
+ "step": 322000
2417
+ },
2418
+ {
2419
+ "epoch": 17.37,
2420
+ "grad_norm": 0.31515949964523315,
2421
+ "learning_rate": 0.00014415676120983878,
2422
+ "loss": 2.785,
2423
+ "step": 323000
2424
+ },
2425
+ {
2426
+ "epoch": 17.42,
2427
+ "grad_norm": 0.29529762268066406,
2428
+ "learning_rate": 0.0001412174885253619,
2429
+ "loss": 2.7865,
2430
+ "step": 324000
2431
+ },
2432
+ {
2433
+ "epoch": 17.48,
2434
+ "grad_norm": 0.28874969482421875,
2435
+ "learning_rate": 0.00013827527362598563,
2436
+ "loss": 2.7872,
2437
+ "step": 325000
2438
+ },
2439
+ {
2440
+ "epoch": 17.53,
2441
+ "grad_norm": 0.3028223514556885,
2442
+ "learning_rate": 0.0001353330587266094,
2443
+ "loss": 2.7899,
2444
+ "step": 326000
2445
+ },
2446
+ {
2447
+ "epoch": 17.59,
2448
+ "grad_norm": 0.31474238634109497,
2449
+ "learning_rate": 0.00013239084382723316,
2450
+ "loss": 2.7892,
2451
+ "step": 327000
2452
+ },
2453
+ {
2454
+ "epoch": 17.64,
2455
+ "grad_norm": 0.31951338052749634,
2456
+ "learning_rate": 0.00012945157114275626,
2457
+ "loss": 2.7966,
2458
+ "step": 328000
2459
+ },
2460
+ {
2461
+ "epoch": 17.69,
2462
+ "grad_norm": 0.32487303018569946,
2463
+ "learning_rate": 0.0001265122984582794,
2464
+ "loss": 2.7909,
2465
+ "step": 329000
2466
+ },
2467
+ {
2468
+ "epoch": 17.75,
2469
+ "grad_norm": 0.2972046732902527,
2470
+ "learning_rate": 0.00012357008355890313,
2471
+ "loss": 2.7907,
2472
+ "step": 330000
2473
+ },
2474
+ {
2475
+ "epoch": 17.8,
2476
+ "grad_norm": 0.3160036504268646,
2477
+ "learning_rate": 0.00012063081087442627,
2478
+ "loss": 2.7965,
2479
+ "step": 331000
2480
+ },
2481
+ {
2482
+ "epoch": 17.86,
2483
+ "grad_norm": 0.31017643213272095,
2484
+ "learning_rate": 0.00011768859597505002,
2485
+ "loss": 2.7938,
2486
+ "step": 332000
2487
+ },
2488
+ {
2489
+ "epoch": 17.91,
2490
+ "grad_norm": 0.3148263692855835,
2491
+ "learning_rate": 0.00011474638107567377,
2492
+ "loss": 2.799,
2493
+ "step": 333000
2494
+ },
2495
+ {
2496
+ "epoch": 17.96,
2497
+ "grad_norm": 0.30343878269195557,
2498
+ "learning_rate": 0.00011180416617629751,
2499
+ "loss": 2.7978,
2500
+ "step": 334000
2501
+ },
2502
+ {
2503
+ "epoch": 18.0,
2504
+ "eval_accuracy": 0.41052434491399936,
2505
+ "eval_loss": 3.3930857181549072,
2506
+ "eval_runtime": 153.7013,
2507
+ "eval_samples_per_second": 376.828,
2508
+ "eval_steps_per_second": 5.888,
2509
+ "step": 334692
2510
+ },
2511
+ {
2512
+ "epoch": 18.02,
2513
+ "grad_norm": 0.3155461251735687,
2514
+ "learning_rate": 0.00010886489349182064,
2515
+ "loss": 2.785,
2516
+ "step": 335000
2517
+ },
2518
+ {
2519
+ "epoch": 18.07,
2520
+ "grad_norm": 0.30708247423171997,
2521
+ "learning_rate": 0.0001059226785924444,
2522
+ "loss": 2.7642,
2523
+ "step": 336000
2524
+ },
2525
+ {
2526
+ "epoch": 18.12,
2527
+ "grad_norm": 0.28757408261299133,
2528
+ "learning_rate": 0.00010298046369306815,
2529
+ "loss": 2.7658,
2530
+ "step": 337000
2531
+ },
2532
+ {
2533
+ "epoch": 18.18,
2534
+ "grad_norm": 0.3023107051849365,
2535
+ "learning_rate": 0.00010004119100859127,
2536
+ "loss": 2.7658,
2537
+ "step": 338000
2538
+ },
2539
+ {
2540
+ "epoch": 18.23,
2541
+ "grad_norm": 0.34044039249420166,
2542
+ "learning_rate": 9.709897610921502e-05,
2543
+ "loss": 2.7702,
2544
+ "step": 339000
2545
+ },
2546
+ {
2547
+ "epoch": 18.29,
2548
+ "grad_norm": 0.3793945014476776,
2549
+ "learning_rate": 9.415970342473815e-05,
2550
+ "loss": 2.7681,
2551
+ "step": 340000
2552
+ },
2553
+ {
2554
+ "epoch": 18.34,
2555
+ "grad_norm": 0.31560423970222473,
2556
+ "learning_rate": 9.121748852536189e-05,
2557
+ "loss": 2.7721,
2558
+ "step": 341000
2559
+ },
2560
+ {
2561
+ "epoch": 18.39,
2562
+ "grad_norm": 0.3134061098098755,
2563
+ "learning_rate": 8.827527362598564e-05,
2564
+ "loss": 2.7698,
2565
+ "step": 342000
2566
+ },
2567
+ {
2568
+ "epoch": 18.45,
2569
+ "grad_norm": 0.3193502426147461,
2570
+ "learning_rate": 8.533600094150878e-05,
2571
+ "loss": 2.7708,
2572
+ "step": 343000
2573
+ },
2574
+ {
2575
+ "epoch": 18.5,
2576
+ "grad_norm": 0.30446764826774597,
2577
+ "learning_rate": 8.239378604213252e-05,
2578
+ "loss": 2.7713,
2579
+ "step": 344000
2580
+ },
2581
+ {
2582
+ "epoch": 18.55,
2583
+ "grad_norm": 0.32142266631126404,
2584
+ "learning_rate": 7.945157114275627e-05,
2585
+ "loss": 2.773,
2586
+ "step": 345000
2587
+ },
2588
+ {
2589
+ "epoch": 18.61,
2590
+ "grad_norm": 0.31932076811790466,
2591
+ "learning_rate": 7.65122984582794e-05,
2592
+ "loss": 2.7777,
2593
+ "step": 346000
2594
+ },
2595
+ {
2596
+ "epoch": 18.66,
2597
+ "grad_norm": 0.3001977801322937,
2598
+ "learning_rate": 7.357008355890314e-05,
2599
+ "loss": 2.7728,
2600
+ "step": 347000
2601
+ },
2602
+ {
2603
+ "epoch": 18.72,
2604
+ "grad_norm": 0.3105526566505432,
2605
+ "learning_rate": 7.062786865952689e-05,
2606
+ "loss": 2.774,
2607
+ "step": 348000
2608
+ },
2609
+ {
2610
+ "epoch": 18.77,
2611
+ "grad_norm": 0.3131723701953888,
2612
+ "learning_rate": 6.768565376015064e-05,
2613
+ "loss": 2.7776,
2614
+ "step": 349000
2615
+ },
2616
+ {
2617
+ "epoch": 18.82,
2618
+ "grad_norm": 0.31600117683410645,
2619
+ "learning_rate": 6.474638107567376e-05,
2620
+ "loss": 2.7742,
2621
+ "step": 350000
2622
+ },
2623
+ {
2624
+ "epoch": 18.88,
2625
+ "grad_norm": 0.34644222259521484,
2626
+ "learning_rate": 6.18071083911969e-05,
2627
+ "loss": 2.7754,
2628
+ "step": 351000
2629
+ },
2630
+ {
2631
+ "epoch": 18.93,
2632
+ "grad_norm": 0.3488774001598358,
2633
+ "learning_rate": 5.886489349182064e-05,
2634
+ "loss": 2.7748,
2635
+ "step": 352000
2636
+ },
2637
+ {
2638
+ "epoch": 18.98,
2639
+ "grad_norm": 0.3060605823993683,
2640
+ "learning_rate": 5.5922678592444393e-05,
2641
+ "loss": 2.7756,
2642
+ "step": 353000
2643
+ },
2644
+ {
2645
+ "epoch": 19.0,
2646
+ "eval_accuracy": 0.41067926407085487,
2647
+ "eval_loss": 3.3947384357452393,
2648
+ "eval_runtime": 154.2277,
2649
+ "eval_samples_per_second": 375.542,
2650
+ "eval_steps_per_second": 5.868,
2651
+ "step": 353286
2652
+ },
2653
+ {
2654
+ "epoch": 19.04,
2655
+ "grad_norm": 0.31407734751701355,
2656
+ "learning_rate": 5.2980463693068145e-05,
2657
+ "loss": 2.7627,
2658
+ "step": 354000
2659
+ },
2660
+ {
2661
+ "epoch": 19.09,
2662
+ "grad_norm": 0.3081498444080353,
2663
+ "learning_rate": 5.0041191008591265e-05,
2664
+ "loss": 2.756,
2665
+ "step": 355000
2666
+ },
2667
+ {
2668
+ "epoch": 19.15,
2669
+ "grad_norm": 0.32544785737991333,
2670
+ "learning_rate": 4.7098976109215024e-05,
2671
+ "loss": 2.7581,
2672
+ "step": 356000
2673
+ },
2674
+ {
2675
+ "epoch": 19.2,
2676
+ "grad_norm": 0.3303050100803375,
2677
+ "learning_rate": 4.4159703424738144e-05,
2678
+ "loss": 2.7534,
2679
+ "step": 357000
2680
+ },
2681
+ {
2682
+ "epoch": 19.25,
2683
+ "grad_norm": 0.33612754940986633,
2684
+ "learning_rate": 4.122043074026127e-05,
2685
+ "loss": 2.7589,
2686
+ "step": 358000
2687
+ },
2688
+ {
2689
+ "epoch": 19.31,
2690
+ "grad_norm": 0.33169466257095337,
2691
+ "learning_rate": 3.827821584088502e-05,
2692
+ "loss": 2.7556,
2693
+ "step": 359000
2694
+ },
2695
+ {
2696
+ "epoch": 19.36,
2697
+ "grad_norm": 0.31507307291030884,
2698
+ "learning_rate": 3.533600094150877e-05,
2699
+ "loss": 2.7589,
2700
+ "step": 360000
2701
+ },
2702
+ {
2703
+ "epoch": 19.41,
2704
+ "grad_norm": 0.3087073862552643,
2705
+ "learning_rate": 3.239378604213252e-05,
2706
+ "loss": 2.7548,
2707
+ "step": 361000
2708
+ },
2709
+ {
2710
+ "epoch": 19.47,
2711
+ "grad_norm": 0.33943119645118713,
2712
+ "learning_rate": 2.9454513357655643e-05,
2713
+ "loss": 2.7584,
2714
+ "step": 362000
2715
+ },
2716
+ {
2717
+ "epoch": 19.52,
2718
+ "grad_norm": 0.31947916746139526,
2719
+ "learning_rate": 2.6512298458279395e-05,
2720
+ "loss": 2.7604,
2721
+ "step": 363000
2722
+ },
2723
+ {
2724
+ "epoch": 19.58,
2725
+ "grad_norm": 0.2944762408733368,
2726
+ "learning_rate": 2.357302577380252e-05,
2727
+ "loss": 2.7579,
2728
+ "step": 364000
2729
+ },
2730
+ {
2731
+ "epoch": 19.63,
2732
+ "grad_norm": 0.4628629684448242,
2733
+ "learning_rate": 2.0630810874426267e-05,
2734
+ "loss": 2.7568,
2735
+ "step": 365000
2736
+ },
2737
+ {
2738
+ "epoch": 19.68,
2739
+ "grad_norm": 0.34393277764320374,
2740
+ "learning_rate": 1.768859597505002e-05,
2741
+ "loss": 2.759,
2742
+ "step": 366000
2743
+ },
2744
+ {
2745
+ "epoch": 19.74,
2746
+ "grad_norm": 0.3237968683242798,
2747
+ "learning_rate": 1.4746381075673767e-05,
2748
+ "loss": 2.7611,
2749
+ "step": 367000
2750
+ },
2751
+ {
2752
+ "epoch": 19.79,
2753
+ "grad_norm": 0.3589065372943878,
2754
+ "learning_rate": 1.1807108391196892e-05,
2755
+ "loss": 2.7575,
2756
+ "step": 368000
2757
+ },
2758
+ {
2759
+ "epoch": 19.85,
2760
+ "grad_norm": 0.33762767910957336,
2761
+ "learning_rate": 8.86783570672002e-06,
2762
+ "loss": 2.7551,
2763
+ "step": 369000
2764
+ },
2765
+ {
2766
+ "epoch": 19.9,
2767
+ "grad_norm": 0.32348111271858215,
2768
+ "learning_rate": 5.925620807343769e-06,
2769
+ "loss": 2.7589,
2770
+ "step": 370000
2771
+ },
2772
+ {
2773
+ "epoch": 19.95,
2774
+ "grad_norm": 0.3465304970741272,
2775
+ "learning_rate": 2.983405907967518e-06,
2776
+ "loss": 2.7571,
2777
+ "step": 371000
2778
+ },
2779
+ {
2780
+ "epoch": 20.0,
2781
+ "eval_accuracy": 0.41050110032238096,
2782
+ "eval_loss": 3.4041664600372314,
2783
+ "eval_runtime": 154.1848,
2784
+ "eval_samples_per_second": 375.647,
2785
+ "eval_steps_per_second": 5.87,
2786
+ "step": 371880
2787
+ },
2788
+ {
2789
+ "epoch": 20.0,
2790
+ "step": 371880,
2791
+ "total_flos": 1.56681778719744e+18,
2792
+ "train_loss": 3.0269814196563325,
2793
+ "train_runtime": 81274.1105,
2794
+ "train_samples_per_second": 146.417,
2795
+ "train_steps_per_second": 4.576
2796
+ }
2797
+ ],
2798
+ "logging_steps": 1000,
2799
+ "max_steps": 371880,
2800
+ "num_input_tokens_seen": 0,
2801
+ "num_train_epochs": 20,
2802
+ "save_steps": 5000,
2803
+ "total_flos": 1.56681778719744e+18,
2804
+ "train_batch_size": 32,
2805
+ "trial_name": null,
2806
+ "trial_params": null
2807
+ }