kanishka commited on
Commit
8a69e9c
1 Parent(s): 48a2dbe

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_anans_new-3e-4
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_anans_new-3e-4
15
 
16
- This model was trained from scratch on an unknown dataset.
17
  It achieves the following results on the evaluation set:
18
  - Loss: 3.4257
19
  - Accuracy: 0.4096
 
1
  ---
2
  tags:
3
  - generated_from_trainer
4
+ datasets:
5
+ - kanishka/counterfactual_babylm_anans_new
6
  metrics:
7
  - accuracy
8
  model-index:
9
  - name: smolm-autoreg-bpe-counterfactual_babylm_anans_new-3e-4
10
+ results:
11
+ - task:
12
+ name: Causal Language Modeling
13
+ type: text-generation
14
+ dataset:
15
+ name: kanishka/counterfactual_babylm_anans_new
16
+ type: kanishka/counterfactual_babylm_anans_new
17
+ metrics:
18
+ - name: Accuracy
19
+ type: accuracy
20
+ value: 0.4096272415057219
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_anans_new-3e-4
27
 
28
+ This model was trained from scratch on the kanishka/counterfactual_babylm_anans_new dataset.
29
  It achieves the following results on the evaluation set:
30
  - Loss: 3.4257
31
  - Accuracy: 0.4096
all_results.json ADDED
@@ -0,0 +1,16 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "epoch": 20.0,
3
+ "eval_accuracy": 0.4096272415057219,
4
+ "eval_loss": 3.4256882667541504,
5
+ "eval_runtime": 154.1089,
6
+ "eval_samples": 57921,
7
+ "eval_samples_per_second": 375.845,
8
+ "eval_steps_per_second": 5.879,
9
+ "perplexity": 30.74379750505285,
10
+ "total_flos": 1.5669257538816e+18,
11
+ "train_loss": 3.0592986363049124,
12
+ "train_runtime": 81068.1718,
13
+ "train_samples": 595035,
14
+ "train_samples_per_second": 146.799,
15
+ "train_steps_per_second": 4.587
16
+ }
eval_results.json ADDED
@@ -0,0 +1,10 @@
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "epoch": 20.0,
3
+ "eval_accuracy": 0.4096272415057219,
4
+ "eval_loss": 3.4256882667541504,
5
+ "eval_runtime": 154.1089,
6
+ "eval_samples": 57921,
7
+ "eval_samples_per_second": 375.845,
8
+ "eval_steps_per_second": 5.879,
9
+ "perplexity": 30.74379750505285
10
+ }
runs/Jun05_07-51-28_phyl-ling-p01.la.utexas.edu/events.out.tfevents.1717673474.phyl-ling-p01.la.utexas.edu.175344.1 ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:e6e284846fb41be8706eb3897d2cb1f75fe68484b2e10c6bd43cc920b0a8b1ed
3
+ size 417
train_results.json ADDED
@@ -0,0 +1,9 @@
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "epoch": 20.0,
3
+ "total_flos": 1.5669257538816e+18,
4
+ "train_loss": 3.0592986363049124,
5
+ "train_runtime": 81068.1718,
6
+ "train_samples": 595035,
7
+ "train_samples_per_second": 146.799,
8
+ "train_steps_per_second": 4.587
9
+ }
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": 371900,
7
+ "is_hyper_param_search": false,
8
+ "is_local_process_zero": true,
9
+ "is_world_process_zero": true,
10
+ "log_history": [
11
+ {
12
+ "epoch": 0.05377789728421619,
13
+ "grad_norm": 0.7097817659378052,
14
+ "learning_rate": 9.375e-06,
15
+ "loss": 6.8536,
16
+ "step": 1000
17
+ },
18
+ {
19
+ "epoch": 0.10755579456843238,
20
+ "grad_norm": 0.8630837798118591,
21
+ "learning_rate": 1.875e-05,
22
+ "loss": 5.3656,
23
+ "step": 2000
24
+ },
25
+ {
26
+ "epoch": 0.16133369185264856,
27
+ "grad_norm": 0.9362223148345947,
28
+ "learning_rate": 2.8125e-05,
29
+ "loss": 5.0405,
30
+ "step": 3000
31
+ },
32
+ {
33
+ "epoch": 0.21511158913686476,
34
+ "grad_norm": 0.9098538756370544,
35
+ "learning_rate": 3.75e-05,
36
+ "loss": 4.8207,
37
+ "step": 4000
38
+ },
39
+ {
40
+ "epoch": 0.26888948642108096,
41
+ "grad_norm": 1.0826491117477417,
42
+ "learning_rate": 4.6874999999999994e-05,
43
+ "loss": 4.6468,
44
+ "step": 5000
45
+ },
46
+ {
47
+ "epoch": 0.32266738370529713,
48
+ "grad_norm": 0.9499918222427368,
49
+ "learning_rate": 5.625e-05,
50
+ "loss": 4.4983,
51
+ "step": 6000
52
+ },
53
+ {
54
+ "epoch": 0.3764452809895133,
55
+ "grad_norm": 0.9495302438735962,
56
+ "learning_rate": 6.5625e-05,
57
+ "loss": 4.39,
58
+ "step": 7000
59
+ },
60
+ {
61
+ "epoch": 0.4302231782737295,
62
+ "grad_norm": 0.8918095231056213,
63
+ "learning_rate": 7.5e-05,
64
+ "loss": 4.2828,
65
+ "step": 8000
66
+ },
67
+ {
68
+ "epoch": 0.4840010755579457,
69
+ "grad_norm": 0.8999391794204712,
70
+ "learning_rate": 8.437499999999999e-05,
71
+ "loss": 4.2052,
72
+ "step": 9000
73
+ },
74
+ {
75
+ "epoch": 0.5377789728421619,
76
+ "grad_norm": 0.872922956943512,
77
+ "learning_rate": 9.374999999999999e-05,
78
+ "loss": 4.1356,
79
+ "step": 10000
80
+ },
81
+ {
82
+ "epoch": 0.591556870126378,
83
+ "grad_norm": 0.8972263932228088,
84
+ "learning_rate": 0.00010312499999999999,
85
+ "loss": 4.0696,
86
+ "step": 11000
87
+ },
88
+ {
89
+ "epoch": 0.6453347674105943,
90
+ "grad_norm": 0.853663980960846,
91
+ "learning_rate": 0.000112490625,
92
+ "loss": 4.008,
93
+ "step": 12000
94
+ },
95
+ {
96
+ "epoch": 0.6991126646948105,
97
+ "grad_norm": 0.8272613286972046,
98
+ "learning_rate": 0.000121865625,
99
+ "loss": 3.9457,
100
+ "step": 13000
101
+ },
102
+ {
103
+ "epoch": 0.7528905619790266,
104
+ "grad_norm": 0.8427807092666626,
105
+ "learning_rate": 0.00013123125,
106
+ "loss": 3.8928,
107
+ "step": 14000
108
+ },
109
+ {
110
+ "epoch": 0.8066684592632428,
111
+ "grad_norm": 0.7996278405189514,
112
+ "learning_rate": 0.00014060625,
113
+ "loss": 3.8373,
114
+ "step": 15000
115
+ },
116
+ {
117
+ "epoch": 0.860446356547459,
118
+ "grad_norm": 0.7708893418312073,
119
+ "learning_rate": 0.000149971875,
120
+ "loss": 3.8015,
121
+ "step": 16000
122
+ },
123
+ {
124
+ "epoch": 0.9142242538316752,
125
+ "grad_norm": 0.750762403011322,
126
+ "learning_rate": 0.000159346875,
127
+ "loss": 3.7619,
128
+ "step": 17000
129
+ },
130
+ {
131
+ "epoch": 0.9680021511158914,
132
+ "grad_norm": 0.8043661117553711,
133
+ "learning_rate": 0.000168703125,
134
+ "loss": 3.7355,
135
+ "step": 18000
136
+ },
137
+ {
138
+ "epoch": 1.0,
139
+ "eval_accuracy": 0.3460631369831053,
140
+ "eval_loss": 3.899465799331665,
141
+ "eval_runtime": 151.8767,
142
+ "eval_samples_per_second": 381.369,
143
+ "eval_steps_per_second": 5.965,
144
+ "step": 18595
145
+ },
146
+ {
147
+ "epoch": 1.0217800484001076,
148
+ "grad_norm": 0.7180488109588623,
149
+ "learning_rate": 0.000178078125,
150
+ "loss": 3.6982,
151
+ "step": 19000
152
+ },
153
+ {
154
+ "epoch": 1.0755579456843238,
155
+ "grad_norm": 0.6873713135719299,
156
+ "learning_rate": 0.00018745312499999998,
157
+ "loss": 3.6651,
158
+ "step": 20000
159
+ },
160
+ {
161
+ "epoch": 1.1293358429685398,
162
+ "grad_norm": 0.6932269334793091,
163
+ "learning_rate": 0.00019680937499999996,
164
+ "loss": 3.6514,
165
+ "step": 21000
166
+ },
167
+ {
168
+ "epoch": 1.183113740252756,
169
+ "grad_norm": 0.668073296546936,
170
+ "learning_rate": 0.00020618437499999995,
171
+ "loss": 3.6328,
172
+ "step": 22000
173
+ },
174
+ {
175
+ "epoch": 1.2368916375369723,
176
+ "grad_norm": 0.6708812713623047,
177
+ "learning_rate": 0.00021555937499999998,
178
+ "loss": 3.6162,
179
+ "step": 23000
180
+ },
181
+ {
182
+ "epoch": 1.2906695348211885,
183
+ "grad_norm": 0.6274955868721008,
184
+ "learning_rate": 0.00022493437499999998,
185
+ "loss": 3.592,
186
+ "step": 24000
187
+ },
188
+ {
189
+ "epoch": 1.3444474321054047,
190
+ "grad_norm": 0.6207209229469299,
191
+ "learning_rate": 0.00023430937499999997,
192
+ "loss": 3.5712,
193
+ "step": 25000
194
+ },
195
+ {
196
+ "epoch": 1.398225329389621,
197
+ "grad_norm": 0.5920027494430542,
198
+ "learning_rate": 0.00024367499999999997,
199
+ "loss": 3.5621,
200
+ "step": 26000
201
+ },
202
+ {
203
+ "epoch": 1.452003226673837,
204
+ "grad_norm": 0.5753495097160339,
205
+ "learning_rate": 0.00025305,
206
+ "loss": 3.5494,
207
+ "step": 27000
208
+ },
209
+ {
210
+ "epoch": 1.5057811239580532,
211
+ "grad_norm": 0.5462520718574524,
212
+ "learning_rate": 0.000262425,
213
+ "loss": 3.5336,
214
+ "step": 28000
215
+ },
216
+ {
217
+ "epoch": 1.5595590212422694,
218
+ "grad_norm": 0.5698980689048767,
219
+ "learning_rate": 0.000271790625,
220
+ "loss": 3.5201,
221
+ "step": 29000
222
+ },
223
+ {
224
+ "epoch": 1.6133369185264856,
225
+ "grad_norm": 0.5474157333374023,
226
+ "learning_rate": 0.00028115624999999994,
227
+ "loss": 3.5162,
228
+ "step": 30000
229
+ },
230
+ {
231
+ "epoch": 1.6671148158107019,
232
+ "grad_norm": 0.5613803267478943,
233
+ "learning_rate": 0.00029053124999999994,
234
+ "loss": 3.5054,
235
+ "step": 31000
236
+ },
237
+ {
238
+ "epoch": 1.7208927130949179,
239
+ "grad_norm": 0.5235997438430786,
240
+ "learning_rate": 0.00029990624999999993,
241
+ "loss": 3.4928,
242
+ "step": 32000
243
+ },
244
+ {
245
+ "epoch": 1.7746706103791343,
246
+ "grad_norm": 0.5065760016441345,
247
+ "learning_rate": 0.00029912621359223297,
248
+ "loss": 3.4811,
249
+ "step": 33000
250
+ },
251
+ {
252
+ "epoch": 1.8284485076633503,
253
+ "grad_norm": 0.5031436085700989,
254
+ "learning_rate": 0.0002982444836716681,
255
+ "loss": 3.4693,
256
+ "step": 34000
257
+ },
258
+ {
259
+ "epoch": 1.8822264049475665,
260
+ "grad_norm": 0.47748515009880066,
261
+ "learning_rate": 0.00029736187113857014,
262
+ "loss": 3.4572,
263
+ "step": 35000
264
+ },
265
+ {
266
+ "epoch": 1.9360043022317828,
267
+ "grad_norm": 0.47696492075920105,
268
+ "learning_rate": 0.0002964801412180053,
269
+ "loss": 3.4431,
270
+ "step": 36000
271
+ },
272
+ {
273
+ "epoch": 1.9897821995159988,
274
+ "grad_norm": 0.43063884973526,
275
+ "learning_rate": 0.0002955975286849073,
276
+ "loss": 3.4292,
277
+ "step": 37000
278
+ },
279
+ {
280
+ "epoch": 2.0,
281
+ "eval_accuracy": 0.37681863334985255,
282
+ "eval_loss": 3.60871958732605,
283
+ "eval_runtime": 153.6559,
284
+ "eval_samples_per_second": 376.953,
285
+ "eval_steps_per_second": 5.896,
286
+ "step": 37190
287
+ },
288
+ {
289
+ "epoch": 2.043560096800215,
290
+ "grad_norm": 0.4518415331840515,
291
+ "learning_rate": 0.0002947149161518093,
292
+ "loss": 3.385,
293
+ "step": 38000
294
+ },
295
+ {
296
+ "epoch": 2.0973379940844312,
297
+ "grad_norm": 0.45232945680618286,
298
+ "learning_rate": 0.0002938331862312445,
299
+ "loss": 3.3727,
300
+ "step": 39000
301
+ },
302
+ {
303
+ "epoch": 2.1511158913686477,
304
+ "grad_norm": 0.4550546407699585,
305
+ "learning_rate": 0.0002929505736981465,
306
+ "loss": 3.366,
307
+ "step": 40000
308
+ },
309
+ {
310
+ "epoch": 2.2048937886528637,
311
+ "grad_norm": 0.43207359313964844,
312
+ "learning_rate": 0.0002920679611650485,
313
+ "loss": 3.3641,
314
+ "step": 41000
315
+ },
316
+ {
317
+ "epoch": 2.2586716859370797,
318
+ "grad_norm": 0.43842893838882446,
319
+ "learning_rate": 0.0002911853486319506,
320
+ "loss": 3.3596,
321
+ "step": 42000
322
+ },
323
+ {
324
+ "epoch": 2.312449583221296,
325
+ "grad_norm": 0.420186311006546,
326
+ "learning_rate": 0.0002903036187113857,
327
+ "loss": 3.3504,
328
+ "step": 43000
329
+ },
330
+ {
331
+ "epoch": 2.366227480505512,
332
+ "grad_norm": 0.4150792062282562,
333
+ "learning_rate": 0.0002894210061782877,
334
+ "loss": 3.3515,
335
+ "step": 44000
336
+ },
337
+ {
338
+ "epoch": 2.4200053777897286,
339
+ "grad_norm": 0.4212990701198578,
340
+ "learning_rate": 0.0002885401588702559,
341
+ "loss": 3.3412,
342
+ "step": 45000
343
+ },
344
+ {
345
+ "epoch": 2.4737832750739446,
346
+ "grad_norm": 0.4120098054409027,
347
+ "learning_rate": 0.00028765754633715794,
348
+ "loss": 3.3399,
349
+ "step": 46000
350
+ },
351
+ {
352
+ "epoch": 2.527561172358161,
353
+ "grad_norm": 0.38389134407043457,
354
+ "learning_rate": 0.00028677493380406,
355
+ "loss": 3.3321,
356
+ "step": 47000
357
+ },
358
+ {
359
+ "epoch": 2.581339069642377,
360
+ "grad_norm": 0.38017722964286804,
361
+ "learning_rate": 0.00028589232127096203,
362
+ "loss": 3.3214,
363
+ "step": 48000
364
+ },
365
+ {
366
+ "epoch": 2.635116966926593,
367
+ "grad_norm": 0.3919270634651184,
368
+ "learning_rate": 0.00028500970873786405,
369
+ "loss": 3.3228,
370
+ "step": 49000
371
+ },
372
+ {
373
+ "epoch": 2.6888948642108095,
374
+ "grad_norm": 0.4108082354068756,
375
+ "learning_rate": 0.0002841279788172992,
376
+ "loss": 3.3138,
377
+ "step": 50000
378
+ },
379
+ {
380
+ "epoch": 2.7426727614950255,
381
+ "grad_norm": 0.3886261582374573,
382
+ "learning_rate": 0.0002832453662842012,
383
+ "loss": 3.3056,
384
+ "step": 51000
385
+ },
386
+ {
387
+ "epoch": 2.796450658779242,
388
+ "grad_norm": 0.3850669264793396,
389
+ "learning_rate": 0.00028236275375110323,
390
+ "loss": 3.3032,
391
+ "step": 52000
392
+ },
393
+ {
394
+ "epoch": 2.850228556063458,
395
+ "grad_norm": 0.3835964798927307,
396
+ "learning_rate": 0.0002814810238305384,
397
+ "loss": 3.2969,
398
+ "step": 53000
399
+ },
400
+ {
401
+ "epoch": 2.904006453347674,
402
+ "grad_norm": 0.38047948479652405,
403
+ "learning_rate": 0.0002805992939099735,
404
+ "loss": 3.2936,
405
+ "step": 54000
406
+ },
407
+ {
408
+ "epoch": 2.9577843506318904,
409
+ "grad_norm": 0.3762407600879669,
410
+ "learning_rate": 0.00027971668137687555,
411
+ "loss": 3.2927,
412
+ "step": 55000
413
+ },
414
+ {
415
+ "epoch": 3.0,
416
+ "eval_accuracy": 0.3895145789948566,
417
+ "eval_loss": 3.5000998973846436,
418
+ "eval_runtime": 153.5704,
419
+ "eval_samples_per_second": 377.162,
420
+ "eval_steps_per_second": 5.9,
421
+ "step": 55785
422
+ },
423
+ {
424
+ "epoch": 3.0115622479161064,
425
+ "grad_norm": 0.4009055495262146,
426
+ "learning_rate": 0.00027883406884377757,
427
+ "loss": 3.2765,
428
+ "step": 56000
429
+ },
430
+ {
431
+ "epoch": 3.065340145200323,
432
+ "grad_norm": 0.37349995970726013,
433
+ "learning_rate": 0.0002779514563106796,
434
+ "loss": 3.2286,
435
+ "step": 57000
436
+ },
437
+ {
438
+ "epoch": 3.119118042484539,
439
+ "grad_norm": 0.3908737599849701,
440
+ "learning_rate": 0.00027706972639011474,
441
+ "loss": 3.2289,
442
+ "step": 58000
443
+ },
444
+ {
445
+ "epoch": 3.172895939768755,
446
+ "grad_norm": 0.407253235578537,
447
+ "learning_rate": 0.00027618711385701675,
448
+ "loss": 3.2265,
449
+ "step": 59000
450
+ },
451
+ {
452
+ "epoch": 3.2266738370529713,
453
+ "grad_norm": 0.381302148103714,
454
+ "learning_rate": 0.00027530538393645185,
455
+ "loss": 3.231,
456
+ "step": 60000
457
+ },
458
+ {
459
+ "epoch": 3.2804517343371873,
460
+ "grad_norm": 0.3845687508583069,
461
+ "learning_rate": 0.0002744227714033539,
462
+ "loss": 3.228,
463
+ "step": 61000
464
+ },
465
+ {
466
+ "epoch": 3.3342296316214037,
467
+ "grad_norm": 0.37134280800819397,
468
+ "learning_rate": 0.00027354015887025594,
469
+ "loss": 3.2294,
470
+ "step": 62000
471
+ },
472
+ {
473
+ "epoch": 3.3880075289056197,
474
+ "grad_norm": 0.3631034195423126,
475
+ "learning_rate": 0.0002726584289496911,
476
+ "loss": 3.2269,
477
+ "step": 63000
478
+ },
479
+ {
480
+ "epoch": 3.4417854261898357,
481
+ "grad_norm": 0.39031264185905457,
482
+ "learning_rate": 0.0002717758164165931,
483
+ "loss": 3.2245,
484
+ "step": 64000
485
+ },
486
+ {
487
+ "epoch": 3.495563323474052,
488
+ "grad_norm": 0.3664679527282715,
489
+ "learning_rate": 0.0002708932038834951,
490
+ "loss": 3.2219,
491
+ "step": 65000
492
+ },
493
+ {
494
+ "epoch": 3.549341220758268,
495
+ "grad_norm": 0.37691643834114075,
496
+ "learning_rate": 0.00027001059135039714,
497
+ "loss": 3.2152,
498
+ "step": 66000
499
+ },
500
+ {
501
+ "epoch": 3.6031191180424846,
502
+ "grad_norm": 0.3464328944683075,
503
+ "learning_rate": 0.00026912886142983224,
504
+ "loss": 3.2158,
505
+ "step": 67000
506
+ },
507
+ {
508
+ "epoch": 3.6568970153267006,
509
+ "grad_norm": 0.360546350479126,
510
+ "learning_rate": 0.0002682462488967343,
511
+ "loss": 3.2173,
512
+ "step": 68000
513
+ },
514
+ {
515
+ "epoch": 3.7106749126109166,
516
+ "grad_norm": 0.39308884739875793,
517
+ "learning_rate": 0.00026736451897616946,
518
+ "loss": 3.2144,
519
+ "step": 69000
520
+ },
521
+ {
522
+ "epoch": 3.764452809895133,
523
+ "grad_norm": 0.35938188433647156,
524
+ "learning_rate": 0.0002664819064430715,
525
+ "loss": 3.2169,
526
+ "step": 70000
527
+ },
528
+ {
529
+ "epoch": 3.8182307071793495,
530
+ "grad_norm": 0.3498573899269104,
531
+ "learning_rate": 0.0002656001765225066,
532
+ "loss": 3.2095,
533
+ "step": 71000
534
+ },
535
+ {
536
+ "epoch": 3.8720086044635655,
537
+ "grad_norm": 0.3463761806488037,
538
+ "learning_rate": 0.0002647175639894086,
539
+ "loss": 3.2078,
540
+ "step": 72000
541
+ },
542
+ {
543
+ "epoch": 3.9257865017477815,
544
+ "grad_norm": 0.3538376986980438,
545
+ "learning_rate": 0.00026383583406884375,
546
+ "loss": 3.2037,
547
+ "step": 73000
548
+ },
549
+ {
550
+ "epoch": 3.979564399031998,
551
+ "grad_norm": 0.350891649723053,
552
+ "learning_rate": 0.0002629541041482789,
553
+ "loss": 3.1999,
554
+ "step": 74000
555
+ },
556
+ {
557
+ "epoch": 4.0,
558
+ "eval_accuracy": 0.39521783897656926,
559
+ "eval_loss": 3.474266767501831,
560
+ "eval_runtime": 154.7996,
561
+ "eval_samples_per_second": 374.168,
562
+ "eval_steps_per_second": 5.853,
563
+ "step": 74380
564
+ },
565
+ {
566
+ "epoch": 4.033342296316214,
567
+ "grad_norm": 0.3689132034778595,
568
+ "learning_rate": 0.0002620714916151809,
569
+ "loss": 3.1644,
570
+ "step": 75000
571
+ },
572
+ {
573
+ "epoch": 4.08712019360043,
574
+ "grad_norm": 0.3693839907646179,
575
+ "learning_rate": 0.00026118887908208293,
576
+ "loss": 3.1393,
577
+ "step": 76000
578
+ },
579
+ {
580
+ "epoch": 4.140898090884646,
581
+ "grad_norm": 0.3670288622379303,
582
+ "learning_rate": 0.000260306266548985,
583
+ "loss": 3.1455,
584
+ "step": 77000
585
+ },
586
+ {
587
+ "epoch": 4.1946759881688624,
588
+ "grad_norm": 0.3569948673248291,
589
+ "learning_rate": 0.0002594245366284201,
590
+ "loss": 3.1473,
591
+ "step": 78000
592
+ },
593
+ {
594
+ "epoch": 4.2484538854530784,
595
+ "grad_norm": 0.37387335300445557,
596
+ "learning_rate": 0.0002585419240953221,
597
+ "loss": 3.144,
598
+ "step": 79000
599
+ },
600
+ {
601
+ "epoch": 4.302231782737295,
602
+ "grad_norm": 0.35249531269073486,
603
+ "learning_rate": 0.00025765931156222413,
604
+ "loss": 3.1482,
605
+ "step": 80000
606
+ },
607
+ {
608
+ "epoch": 4.356009680021511,
609
+ "grad_norm": 0.3619791269302368,
610
+ "learning_rate": 0.0002567775816416593,
611
+ "loss": 3.1468,
612
+ "step": 81000
613
+ },
614
+ {
615
+ "epoch": 4.409787577305727,
616
+ "grad_norm": 0.3486943542957306,
617
+ "learning_rate": 0.00025589585172109444,
618
+ "loss": 3.1543,
619
+ "step": 82000
620
+ },
621
+ {
622
+ "epoch": 4.463565474589943,
623
+ "grad_norm": 0.3588618040084839,
624
+ "learning_rate": 0.00025501323918799646,
625
+ "loss": 3.1509,
626
+ "step": 83000
627
+ },
628
+ {
629
+ "epoch": 4.517343371874159,
630
+ "grad_norm": 0.36453118920326233,
631
+ "learning_rate": 0.00025413062665489847,
632
+ "loss": 3.1487,
633
+ "step": 84000
634
+ },
635
+ {
636
+ "epoch": 4.571121269158376,
637
+ "grad_norm": 0.3435422480106354,
638
+ "learning_rate": 0.0002532480141218005,
639
+ "loss": 3.1485,
640
+ "step": 85000
641
+ },
642
+ {
643
+ "epoch": 4.624899166442592,
644
+ "grad_norm": 0.3634852468967438,
645
+ "learning_rate": 0.00025236540158870256,
646
+ "loss": 3.1543,
647
+ "step": 86000
648
+ },
649
+ {
650
+ "epoch": 4.678677063726808,
651
+ "grad_norm": 0.3428556025028229,
652
+ "learning_rate": 0.00025148367166813766,
653
+ "loss": 3.1482,
654
+ "step": 87000
655
+ },
656
+ {
657
+ "epoch": 4.732454961011024,
658
+ "grad_norm": 0.36531776189804077,
659
+ "learning_rate": 0.0002506010591350397,
660
+ "loss": 3.1467,
661
+ "step": 88000
662
+ },
663
+ {
664
+ "epoch": 4.786232858295241,
665
+ "grad_norm": 0.34510383009910583,
666
+ "learning_rate": 0.00024971844660194174,
667
+ "loss": 3.1497,
668
+ "step": 89000
669
+ },
670
+ {
671
+ "epoch": 4.840010755579457,
672
+ "grad_norm": 0.33938872814178467,
673
+ "learning_rate": 0.00024883583406884376,
674
+ "loss": 3.1455,
675
+ "step": 90000
676
+ },
677
+ {
678
+ "epoch": 4.893788652863673,
679
+ "grad_norm": 0.373588502407074,
680
+ "learning_rate": 0.000247954986760812,
681
+ "loss": 3.1474,
682
+ "step": 91000
683
+ },
684
+ {
685
+ "epoch": 4.947566550147889,
686
+ "grad_norm": 0.34171566367149353,
687
+ "learning_rate": 0.000247072374227714,
688
+ "loss": 3.1448,
689
+ "step": 92000
690
+ },
691
+ {
692
+ "epoch": 5.0,
693
+ "eval_accuracy": 0.39957591505456547,
694
+ "eval_loss": 3.4088761806488037,
695
+ "eval_runtime": 155.1687,
696
+ "eval_samples_per_second": 373.278,
697
+ "eval_steps_per_second": 5.839,
698
+ "step": 92975
699
+ },
700
+ {
701
+ "epoch": 5.001344447432105,
702
+ "grad_norm": 0.3516329526901245,
703
+ "learning_rate": 0.00024619064430714916,
704
+ "loss": 3.1468,
705
+ "step": 93000
706
+ },
707
+ {
708
+ "epoch": 5.055122344716321,
709
+ "grad_norm": 0.3526703715324402,
710
+ "learning_rate": 0.0002453080317740512,
711
+ "loss": 3.0784,
712
+ "step": 94000
713
+ },
714
+ {
715
+ "epoch": 5.108900242000538,
716
+ "grad_norm": 0.3785659670829773,
717
+ "learning_rate": 0.0002444254192409532,
718
+ "loss": 3.0804,
719
+ "step": 95000
720
+ },
721
+ {
722
+ "epoch": 5.162678139284754,
723
+ "grad_norm": 0.3553713262081146,
724
+ "learning_rate": 0.00024354280670785524,
725
+ "loss": 3.0885,
726
+ "step": 96000
727
+ },
728
+ {
729
+ "epoch": 5.21645603656897,
730
+ "grad_norm": 0.3591731786727905,
731
+ "learning_rate": 0.00024266107678729037,
732
+ "loss": 3.0916,
733
+ "step": 97000
734
+ },
735
+ {
736
+ "epoch": 5.270233933853186,
737
+ "grad_norm": 0.3515339195728302,
738
+ "learning_rate": 0.00024177846425419238,
739
+ "loss": 3.0929,
740
+ "step": 98000
741
+ },
742
+ {
743
+ "epoch": 5.324011831137403,
744
+ "grad_norm": 0.3388463854789734,
745
+ "learning_rate": 0.0002408958517210944,
746
+ "loss": 3.0946,
747
+ "step": 99000
748
+ },
749
+ {
750
+ "epoch": 5.377789728421619,
751
+ "grad_norm": 0.35906437039375305,
752
+ "learning_rate": 0.00024001500441306263,
753
+ "loss": 3.0936,
754
+ "step": 100000
755
+ },
756
+ {
757
+ "epoch": 5.431567625705835,
758
+ "grad_norm": 0.35187384486198425,
759
+ "learning_rate": 0.00023913239187996468,
760
+ "loss": 3.0965,
761
+ "step": 101000
762
+ },
763
+ {
764
+ "epoch": 5.485345522990051,
765
+ "grad_norm": 0.3588041067123413,
766
+ "learning_rate": 0.00023824977934686672,
767
+ "loss": 3.0954,
768
+ "step": 102000
769
+ },
770
+ {
771
+ "epoch": 5.539123420274267,
772
+ "grad_norm": 0.37199875712394714,
773
+ "learning_rate": 0.00023736716681376874,
774
+ "loss": 3.0958,
775
+ "step": 103000
776
+ },
777
+ {
778
+ "epoch": 5.592901317558484,
779
+ "grad_norm": 0.36916086077690125,
780
+ "learning_rate": 0.00023648543689320386,
781
+ "loss": 3.0974,
782
+ "step": 104000
783
+ },
784
+ {
785
+ "epoch": 5.6466792148427,
786
+ "grad_norm": 0.3353819251060486,
787
+ "learning_rate": 0.0002356028243601059,
788
+ "loss": 3.1009,
789
+ "step": 105000
790
+ },
791
+ {
792
+ "epoch": 5.700457112126916,
793
+ "grad_norm": 0.35051777958869934,
794
+ "learning_rate": 0.00023472021182700792,
795
+ "loss": 3.1009,
796
+ "step": 106000
797
+ },
798
+ {
799
+ "epoch": 5.754235009411132,
800
+ "grad_norm": 0.36077558994293213,
801
+ "learning_rate": 0.00023383848190644305,
802
+ "loss": 3.0988,
803
+ "step": 107000
804
+ },
805
+ {
806
+ "epoch": 5.808012906695348,
807
+ "grad_norm": 0.3492220640182495,
808
+ "learning_rate": 0.0002329558693733451,
809
+ "loss": 3.1008,
810
+ "step": 108000
811
+ },
812
+ {
813
+ "epoch": 5.861790803979565,
814
+ "grad_norm": 0.3349301517009735,
815
+ "learning_rate": 0.00023207325684024714,
816
+ "loss": 3.1004,
817
+ "step": 109000
818
+ },
819
+ {
820
+ "epoch": 5.915568701263781,
821
+ "grad_norm": 0.3572138249874115,
822
+ "learning_rate": 0.00023119152691968223,
823
+ "loss": 3.0991,
824
+ "step": 110000
825
+ },
826
+ {
827
+ "epoch": 5.969346598547997,
828
+ "grad_norm": 0.3292669653892517,
829
+ "learning_rate": 0.00023030891438658428,
830
+ "loss": 3.0986,
831
+ "step": 111000
832
+ },
833
+ {
834
+ "epoch": 6.0,
835
+ "eval_accuracy": 0.4021510044171932,
836
+ "eval_loss": 3.4165823459625244,
837
+ "eval_runtime": 153.9568,
838
+ "eval_samples_per_second": 376.216,
839
+ "eval_steps_per_second": 5.885,
840
+ "step": 111570
841
+ },
842
+ {
843
+ "epoch": 6.023124495832213,
844
+ "grad_norm": 0.3583333492279053,
845
+ "learning_rate": 0.0002294263018534863,
846
+ "loss": 3.0671,
847
+ "step": 112000
848
+ },
849
+ {
850
+ "epoch": 6.076902393116429,
851
+ "grad_norm": 0.3764239251613617,
852
+ "learning_rate": 0.00022854368932038834,
853
+ "loss": 3.035,
854
+ "step": 113000
855
+ },
856
+ {
857
+ "epoch": 6.130680290400646,
858
+ "grad_norm": 0.3759283721446991,
859
+ "learning_rate": 0.00022766195939982344,
860
+ "loss": 3.034,
861
+ "step": 114000
862
+ },
863
+ {
864
+ "epoch": 6.184458187684862,
865
+ "grad_norm": 0.3840562701225281,
866
+ "learning_rate": 0.0002267802294792586,
867
+ "loss": 3.0451,
868
+ "step": 115000
869
+ },
870
+ {
871
+ "epoch": 6.238236084969078,
872
+ "grad_norm": 0.35660070180892944,
873
+ "learning_rate": 0.00022589761694616063,
874
+ "loss": 3.0489,
875
+ "step": 116000
876
+ },
877
+ {
878
+ "epoch": 6.292013982253294,
879
+ "grad_norm": 0.3423716723918915,
880
+ "learning_rate": 0.00022501500441306265,
881
+ "loss": 3.0487,
882
+ "step": 117000
883
+ },
884
+ {
885
+ "epoch": 6.34579187953751,
886
+ "grad_norm": 0.37959685921669006,
887
+ "learning_rate": 0.00022413327449249777,
888
+ "loss": 3.0516,
889
+ "step": 118000
890
+ },
891
+ {
892
+ "epoch": 6.399569776821727,
893
+ "grad_norm": 0.3404131531715393,
894
+ "learning_rate": 0.0002232506619593998,
895
+ "loss": 3.0495,
896
+ "step": 119000
897
+ },
898
+ {
899
+ "epoch": 6.453347674105943,
900
+ "grad_norm": 0.34124448895454407,
901
+ "learning_rate": 0.00022236804942630183,
902
+ "loss": 3.0556,
903
+ "step": 120000
904
+ },
905
+ {
906
+ "epoch": 6.507125571390159,
907
+ "grad_norm": 0.366603821516037,
908
+ "learning_rate": 0.00022148543689320385,
909
+ "loss": 3.0585,
910
+ "step": 121000
911
+ },
912
+ {
913
+ "epoch": 6.560903468674375,
914
+ "grad_norm": 0.3521302342414856,
915
+ "learning_rate": 0.00022060370697263897,
916
+ "loss": 3.0594,
917
+ "step": 122000
918
+ },
919
+ {
920
+ "epoch": 6.614681365958591,
921
+ "grad_norm": 0.3434734642505646,
922
+ "learning_rate": 0.00021972109443954102,
923
+ "loss": 3.0561,
924
+ "step": 123000
925
+ },
926
+ {
927
+ "epoch": 6.6684592632428075,
928
+ "grad_norm": 0.3365206718444824,
929
+ "learning_rate": 0.00021883936451897614,
930
+ "loss": 3.0577,
931
+ "step": 124000
932
+ },
933
+ {
934
+ "epoch": 6.7222371605270235,
935
+ "grad_norm": 0.34190618991851807,
936
+ "learning_rate": 0.0002179576345984113,
937
+ "loss": 3.0585,
938
+ "step": 125000
939
+ },
940
+ {
941
+ "epoch": 6.7760150578112395,
942
+ "grad_norm": 0.3417965769767761,
943
+ "learning_rate": 0.0002170759046778464,
944
+ "loss": 3.0599,
945
+ "step": 126000
946
+ },
947
+ {
948
+ "epoch": 6.8297929550954555,
949
+ "grad_norm": 0.3413834571838379,
950
+ "learning_rate": 0.00021619329214474844,
951
+ "loss": 3.0575,
952
+ "step": 127000
953
+ },
954
+ {
955
+ "epoch": 6.8835708523796715,
956
+ "grad_norm": 0.3608095347881317,
957
+ "learning_rate": 0.00021531067961165048,
958
+ "loss": 3.0588,
959
+ "step": 128000
960
+ },
961
+ {
962
+ "epoch": 6.937348749663888,
963
+ "grad_norm": 0.360249400138855,
964
+ "learning_rate": 0.00021442806707855253,
965
+ "loss": 3.0598,
966
+ "step": 129000
967
+ },
968
+ {
969
+ "epoch": 6.991126646948104,
970
+ "grad_norm": 0.3597511351108551,
971
+ "learning_rate": 0.00021354633715798762,
972
+ "loss": 3.0592,
973
+ "step": 130000
974
+ },
975
+ {
976
+ "epoch": 7.0,
977
+ "eval_accuracy": 0.40360871244389834,
978
+ "eval_loss": 3.403170108795166,
979
+ "eval_runtime": 153.6701,
980
+ "eval_samples_per_second": 376.918,
981
+ "eval_steps_per_second": 5.896,
982
+ "step": 130165
983
+ },
984
+ {
985
+ "epoch": 7.04490454423232,
986
+ "grad_norm": 0.364961177110672,
987
+ "learning_rate": 0.00021266372462488964,
988
+ "loss": 3.0023,
989
+ "step": 131000
990
+ },
991
+ {
992
+ "epoch": 7.098682441516536,
993
+ "grad_norm": 0.3606811463832855,
994
+ "learning_rate": 0.00021178111209179168,
995
+ "loss": 2.9945,
996
+ "step": 132000
997
+ },
998
+ {
999
+ "epoch": 7.152460338800753,
1000
+ "grad_norm": 0.3595397472381592,
1001
+ "learning_rate": 0.0002108984995586937,
1002
+ "loss": 3.0056,
1003
+ "step": 133000
1004
+ },
1005
+ {
1006
+ "epoch": 7.206238236084969,
1007
+ "grad_norm": 0.35375916957855225,
1008
+ "learning_rate": 0.00021001676963812883,
1009
+ "loss": 3.0093,
1010
+ "step": 134000
1011
+ },
1012
+ {
1013
+ "epoch": 7.260016133369185,
1014
+ "grad_norm": 0.3839136064052582,
1015
+ "learning_rate": 0.00020913415710503087,
1016
+ "loss": 3.0092,
1017
+ "step": 135000
1018
+ },
1019
+ {
1020
+ "epoch": 7.313794030653401,
1021
+ "grad_norm": 0.36542221903800964,
1022
+ "learning_rate": 0.0002082515445719329,
1023
+ "loss": 3.0137,
1024
+ "step": 136000
1025
+ },
1026
+ {
1027
+ "epoch": 7.367571927937617,
1028
+ "grad_norm": 0.3783646523952484,
1029
+ "learning_rate": 0.00020736893203883493,
1030
+ "loss": 3.0178,
1031
+ "step": 137000
1032
+ },
1033
+ {
1034
+ "epoch": 7.421349825221834,
1035
+ "grad_norm": 0.3594056963920593,
1036
+ "learning_rate": 0.00020648720211827005,
1037
+ "loss": 3.0204,
1038
+ "step": 138000
1039
+ },
1040
+ {
1041
+ "epoch": 7.47512772250605,
1042
+ "grad_norm": 0.3637217581272125,
1043
+ "learning_rate": 0.0002056045895851721,
1044
+ "loss": 3.0189,
1045
+ "step": 139000
1046
+ },
1047
+ {
1048
+ "epoch": 7.528905619790266,
1049
+ "grad_norm": 0.36873236298561096,
1050
+ "learning_rate": 0.00020472197705207414,
1051
+ "loss": 3.0193,
1052
+ "step": 140000
1053
+ },
1054
+ {
1055
+ "epoch": 7.582683517074482,
1056
+ "grad_norm": 0.3408534824848175,
1057
+ "learning_rate": 0.00020384024713150924,
1058
+ "loss": 3.0235,
1059
+ "step": 141000
1060
+ },
1061
+ {
1062
+ "epoch": 7.636461414358699,
1063
+ "grad_norm": 0.34803324937820435,
1064
+ "learning_rate": 0.00020295763459841128,
1065
+ "loss": 3.0237,
1066
+ "step": 142000
1067
+ },
1068
+ {
1069
+ "epoch": 7.690239311642915,
1070
+ "grad_norm": 0.3650054931640625,
1071
+ "learning_rate": 0.0002020759046778464,
1072
+ "loss": 3.0214,
1073
+ "step": 143000
1074
+ },
1075
+ {
1076
+ "epoch": 7.744017208927131,
1077
+ "grad_norm": 0.3592528998851776,
1078
+ "learning_rate": 0.00020119329214474845,
1079
+ "loss": 3.0261,
1080
+ "step": 144000
1081
+ },
1082
+ {
1083
+ "epoch": 7.797795106211347,
1084
+ "grad_norm": 0.37202954292297363,
1085
+ "learning_rate": 0.00020031067961165047,
1086
+ "loss": 3.0253,
1087
+ "step": 145000
1088
+ },
1089
+ {
1090
+ "epoch": 7.851573003495563,
1091
+ "grad_norm": 0.35640275478363037,
1092
+ "learning_rate": 0.0001994280670785525,
1093
+ "loss": 3.027,
1094
+ "step": 146000
1095
+ },
1096
+ {
1097
+ "epoch": 7.90535090077978,
1098
+ "grad_norm": 0.34525027871131897,
1099
+ "learning_rate": 0.00019854633715798764,
1100
+ "loss": 3.0276,
1101
+ "step": 147000
1102
+ },
1103
+ {
1104
+ "epoch": 7.959128798063996,
1105
+ "grad_norm": 0.33090052008628845,
1106
+ "learning_rate": 0.00019766372462488965,
1107
+ "loss": 3.0279,
1108
+ "step": 148000
1109
+ },
1110
+ {
1111
+ "epoch": 8.0,
1112
+ "eval_accuracy": 0.4061836674493643,
1113
+ "eval_loss": 3.3745980262756348,
1114
+ "eval_runtime": 155.0808,
1115
+ "eval_samples_per_second": 373.489,
1116
+ "eval_steps_per_second": 5.842,
1117
+ "step": 148760
1118
+ },
1119
+ {
1120
+ "epoch": 8.012906695348212,
1121
+ "grad_norm": 0.3575202524662018,
1122
+ "learning_rate": 0.00019678199470432478,
1123
+ "loss": 3.0055,
1124
+ "step": 149000
1125
+ },
1126
+ {
1127
+ "epoch": 8.066684592632429,
1128
+ "grad_norm": 0.3376094400882721,
1129
+ "learning_rate": 0.00019589938217122682,
1130
+ "loss": 2.9616,
1131
+ "step": 150000
1132
+ },
1133
+ {
1134
+ "epoch": 8.120462489916644,
1135
+ "grad_norm": 0.36086979508399963,
1136
+ "learning_rate": 0.00019501676963812887,
1137
+ "loss": 2.9642,
1138
+ "step": 151000
1139
+ },
1140
+ {
1141
+ "epoch": 8.17424038720086,
1142
+ "grad_norm": 0.36575761437416077,
1143
+ "learning_rate": 0.00019413503971756397,
1144
+ "loss": 2.9755,
1145
+ "step": 152000
1146
+ },
1147
+ {
1148
+ "epoch": 8.228018284485076,
1149
+ "grad_norm": 0.35903316736221313,
1150
+ "learning_rate": 0.000193252427184466,
1151
+ "loss": 2.9758,
1152
+ "step": 153000
1153
+ },
1154
+ {
1155
+ "epoch": 8.281796181769293,
1156
+ "grad_norm": 0.3707205653190613,
1157
+ "learning_rate": 0.00019237157987643422,
1158
+ "loss": 2.9812,
1159
+ "step": 154000
1160
+ },
1161
+ {
1162
+ "epoch": 8.33557407905351,
1163
+ "grad_norm": 0.3687371611595154,
1164
+ "learning_rate": 0.00019148896734333626,
1165
+ "loss": 2.9833,
1166
+ "step": 155000
1167
+ },
1168
+ {
1169
+ "epoch": 8.389351976337725,
1170
+ "grad_norm": 0.3716333508491516,
1171
+ "learning_rate": 0.0001906063548102383,
1172
+ "loss": 2.988,
1173
+ "step": 156000
1174
+ },
1175
+ {
1176
+ "epoch": 8.443129873621942,
1177
+ "grad_norm": 0.3598574101924896,
1178
+ "learning_rate": 0.00018972374227714032,
1179
+ "loss": 2.9878,
1180
+ "step": 157000
1181
+ },
1182
+ {
1183
+ "epoch": 8.496907770906157,
1184
+ "grad_norm": 0.34485259652137756,
1185
+ "learning_rate": 0.00018884112974404236,
1186
+ "loss": 2.9891,
1187
+ "step": 158000
1188
+ },
1189
+ {
1190
+ "epoch": 8.550685668190374,
1191
+ "grad_norm": 0.3574945628643036,
1192
+ "learning_rate": 0.00018795851721094438,
1193
+ "loss": 2.9923,
1194
+ "step": 159000
1195
+ },
1196
+ {
1197
+ "epoch": 8.60446356547459,
1198
+ "grad_norm": 0.3579365611076355,
1199
+ "learning_rate": 0.0001870767872903795,
1200
+ "loss": 2.9908,
1201
+ "step": 160000
1202
+ },
1203
+ {
1204
+ "epoch": 8.658241462758806,
1205
+ "grad_norm": 0.3805078864097595,
1206
+ "learning_rate": 0.00018619505736981463,
1207
+ "loss": 2.9896,
1208
+ "step": 161000
1209
+ },
1210
+ {
1211
+ "epoch": 8.712019360043023,
1212
+ "grad_norm": 0.3955886960029602,
1213
+ "learning_rate": 0.00018531244483671667,
1214
+ "loss": 2.9956,
1215
+ "step": 162000
1216
+ },
1217
+ {
1218
+ "epoch": 8.765797257327238,
1219
+ "grad_norm": 0.35813698172569275,
1220
+ "learning_rate": 0.00018442983230361872,
1221
+ "loss": 2.9987,
1222
+ "step": 163000
1223
+ },
1224
+ {
1225
+ "epoch": 8.819575154611455,
1226
+ "grad_norm": 0.3720499277114868,
1227
+ "learning_rate": 0.0001835472197705207,
1228
+ "loss": 2.9956,
1229
+ "step": 164000
1230
+ },
1231
+ {
1232
+ "epoch": 8.873353051895672,
1233
+ "grad_norm": 0.35912513732910156,
1234
+ "learning_rate": 0.00018266548984995586,
1235
+ "loss": 2.9985,
1236
+ "step": 165000
1237
+ },
1238
+ {
1239
+ "epoch": 8.927130949179887,
1240
+ "grad_norm": 0.36929354071617126,
1241
+ "learning_rate": 0.00018178287731685788,
1242
+ "loss": 2.9972,
1243
+ "step": 166000
1244
+ },
1245
+ {
1246
+ "epoch": 8.980908846464104,
1247
+ "grad_norm": 0.34516987204551697,
1248
+ "learning_rate": 0.0001809020300088261,
1249
+ "loss": 2.9977,
1250
+ "step": 167000
1251
+ },
1252
+ {
1253
+ "epoch": 9.0,
1254
+ "eval_accuracy": 0.4067501172434183,
1255
+ "eval_loss": 3.3709380626678467,
1256
+ "eval_runtime": 154.3682,
1257
+ "eval_samples_per_second": 375.213,
1258
+ "eval_steps_per_second": 5.869,
1259
+ "step": 167355
1260
+ },
1261
+ {
1262
+ "epoch": 9.034686743748319,
1263
+ "grad_norm": 0.38715243339538574,
1264
+ "learning_rate": 0.00018001941747572815,
1265
+ "loss": 2.9529,
1266
+ "step": 168000
1267
+ },
1268
+ {
1269
+ "epoch": 9.088464641032536,
1270
+ "grad_norm": 0.39728203415870667,
1271
+ "learning_rate": 0.00017913680494263017,
1272
+ "loss": 2.9363,
1273
+ "step": 169000
1274
+ },
1275
+ {
1276
+ "epoch": 9.142242538316752,
1277
+ "grad_norm": 0.3717023730278015,
1278
+ "learning_rate": 0.00017825419240953221,
1279
+ "loss": 2.9421,
1280
+ "step": 170000
1281
+ },
1282
+ {
1283
+ "epoch": 9.196020435600968,
1284
+ "grad_norm": 0.3885519504547119,
1285
+ "learning_rate": 0.00017737157987643426,
1286
+ "loss": 2.9453,
1287
+ "step": 171000
1288
+ },
1289
+ {
1290
+ "epoch": 9.249798332885184,
1291
+ "grad_norm": 0.3886348307132721,
1292
+ "learning_rate": 0.00017648896734333625,
1293
+ "loss": 2.9489,
1294
+ "step": 172000
1295
+ },
1296
+ {
1297
+ "epoch": 9.3035762301694,
1298
+ "grad_norm": 0.3586263656616211,
1299
+ "learning_rate": 0.00017560723742277137,
1300
+ "loss": 2.9544,
1301
+ "step": 173000
1302
+ },
1303
+ {
1304
+ "epoch": 9.357354127453616,
1305
+ "grad_norm": 0.37699151039123535,
1306
+ "learning_rate": 0.00017472462488967342,
1307
+ "loss": 2.9584,
1308
+ "step": 174000
1309
+ },
1310
+ {
1311
+ "epoch": 9.411132024737833,
1312
+ "grad_norm": 0.36616960167884827,
1313
+ "learning_rate": 0.00017384289496910857,
1314
+ "loss": 2.9624,
1315
+ "step": 175000
1316
+ },
1317
+ {
1318
+ "epoch": 9.464909922022049,
1319
+ "grad_norm": 0.36951467394828796,
1320
+ "learning_rate": 0.00017296028243601056,
1321
+ "loss": 2.9585,
1322
+ "step": 176000
1323
+ },
1324
+ {
1325
+ "epoch": 9.518687819306265,
1326
+ "grad_norm": 0.36193570494651794,
1327
+ "learning_rate": 0.0001720776699029126,
1328
+ "loss": 2.9649,
1329
+ "step": 177000
1330
+ },
1331
+ {
1332
+ "epoch": 9.57246571659048,
1333
+ "grad_norm": 0.3632647395133972,
1334
+ "learning_rate": 0.00017119593998234775,
1335
+ "loss": 2.9573,
1336
+ "step": 178000
1337
+ },
1338
+ {
1339
+ "epoch": 9.626243613874697,
1340
+ "grad_norm": 0.3749377727508545,
1341
+ "learning_rate": 0.00017031332744924974,
1342
+ "loss": 2.9642,
1343
+ "step": 179000
1344
+ },
1345
+ {
1346
+ "epoch": 9.680021511158914,
1347
+ "grad_norm": 0.3834667205810547,
1348
+ "learning_rate": 0.00016943159752868487,
1349
+ "loss": 2.9663,
1350
+ "step": 180000
1351
+ },
1352
+ {
1353
+ "epoch": 9.73379940844313,
1354
+ "grad_norm": 0.3825732171535492,
1355
+ "learning_rate": 0.0001685489849955869,
1356
+ "loss": 2.9665,
1357
+ "step": 181000
1358
+ },
1359
+ {
1360
+ "epoch": 9.787577305727346,
1361
+ "grad_norm": 0.3804017901420593,
1362
+ "learning_rate": 0.00016766725507502206,
1363
+ "loss": 2.9656,
1364
+ "step": 182000
1365
+ },
1366
+ {
1367
+ "epoch": 9.841355203011563,
1368
+ "grad_norm": 0.34586480259895325,
1369
+ "learning_rate": 0.0001667846425419241,
1370
+ "loss": 2.9733,
1371
+ "step": 183000
1372
+ },
1373
+ {
1374
+ "epoch": 9.895133100295778,
1375
+ "grad_norm": 0.3566882312297821,
1376
+ "learning_rate": 0.0001659020300088261,
1377
+ "loss": 2.9731,
1378
+ "step": 184000
1379
+ },
1380
+ {
1381
+ "epoch": 9.948910997579995,
1382
+ "grad_norm": 0.36795541644096375,
1383
+ "learning_rate": 0.00016502030008826125,
1384
+ "loss": 2.9761,
1385
+ "step": 185000
1386
+ },
1387
+ {
1388
+ "epoch": 10.0,
1389
+ "eval_accuracy": 0.4070907126485243,
1390
+ "eval_loss": 3.379540205001831,
1391
+ "eval_runtime": 153.7409,
1392
+ "eval_samples_per_second": 376.744,
1393
+ "eval_steps_per_second": 5.893,
1394
+ "step": 185950
1395
+ },
1396
+ {
1397
+ "epoch": 10.00268889486421,
1398
+ "grad_norm": 0.37020811438560486,
1399
+ "learning_rate": 0.00016413768755516327,
1400
+ "loss": 2.9715,
1401
+ "step": 186000
1402
+ },
1403
+ {
1404
+ "epoch": 10.056466792148427,
1405
+ "grad_norm": 0.36936092376708984,
1406
+ "learning_rate": 0.00016325507502206528,
1407
+ "loss": 2.905,
1408
+ "step": 187000
1409
+ },
1410
+ {
1411
+ "epoch": 10.110244689432642,
1412
+ "grad_norm": 0.3851975202560425,
1413
+ "learning_rate": 0.0001623733451015004,
1414
+ "loss": 2.9174,
1415
+ "step": 188000
1416
+ },
1417
+ {
1418
+ "epoch": 10.16402258671686,
1419
+ "grad_norm": 0.37237951159477234,
1420
+ "learning_rate": 0.00016149073256840245,
1421
+ "loss": 2.9218,
1422
+ "step": 189000
1423
+ },
1424
+ {
1425
+ "epoch": 10.217800484001076,
1426
+ "grad_norm": 0.39296218752861023,
1427
+ "learning_rate": 0.0001606081200353045,
1428
+ "loss": 2.9218,
1429
+ "step": 190000
1430
+ },
1431
+ {
1432
+ "epoch": 10.271578381285291,
1433
+ "grad_norm": 0.427022248506546,
1434
+ "learning_rate": 0.0001597255075022065,
1435
+ "loss": 2.9235,
1436
+ "step": 191000
1437
+ },
1438
+ {
1439
+ "epoch": 10.325356278569508,
1440
+ "grad_norm": 0.40037524700164795,
1441
+ "learning_rate": 0.00015884377758164164,
1442
+ "loss": 2.9287,
1443
+ "step": 192000
1444
+ },
1445
+ {
1446
+ "epoch": 10.379134175853725,
1447
+ "grad_norm": 0.37520840764045715,
1448
+ "learning_rate": 0.00015796116504854368,
1449
+ "loss": 2.9303,
1450
+ "step": 193000
1451
+ },
1452
+ {
1453
+ "epoch": 10.43291207313794,
1454
+ "grad_norm": 0.38916105031967163,
1455
+ "learning_rate": 0.00015707855251544572,
1456
+ "loss": 2.9352,
1457
+ "step": 194000
1458
+ },
1459
+ {
1460
+ "epoch": 10.486689970422157,
1461
+ "grad_norm": 0.36788520216941833,
1462
+ "learning_rate": 0.00015619682259488082,
1463
+ "loss": 2.9363,
1464
+ "step": 195000
1465
+ },
1466
+ {
1467
+ "epoch": 10.540467867706372,
1468
+ "grad_norm": 0.3871680796146393,
1469
+ "learning_rate": 0.00015531421006178287,
1470
+ "loss": 2.9393,
1471
+ "step": 196000
1472
+ },
1473
+ {
1474
+ "epoch": 10.594245764990589,
1475
+ "grad_norm": 0.3886531889438629,
1476
+ "learning_rate": 0.0001544333627537511,
1477
+ "loss": 2.938,
1478
+ "step": 197000
1479
+ },
1480
+ {
1481
+ "epoch": 10.648023662274806,
1482
+ "grad_norm": 0.3601588010787964,
1483
+ "learning_rate": 0.00015355075022065312,
1484
+ "loss": 2.9447,
1485
+ "step": 198000
1486
+ },
1487
+ {
1488
+ "epoch": 10.701801559559021,
1489
+ "grad_norm": 0.36893409490585327,
1490
+ "learning_rate": 0.00015266813768755513,
1491
+ "loss": 2.9398,
1492
+ "step": 199000
1493
+ },
1494
+ {
1495
+ "epoch": 10.755579456843238,
1496
+ "grad_norm": 0.3649713397026062,
1497
+ "learning_rate": 0.00015178552515445718,
1498
+ "loss": 2.9445,
1499
+ "step": 200000
1500
+ },
1501
+ {
1502
+ "epoch": 10.809357354127453,
1503
+ "grad_norm": 0.3681996762752533,
1504
+ "learning_rate": 0.0001509037952338923,
1505
+ "loss": 2.9483,
1506
+ "step": 201000
1507
+ },
1508
+ {
1509
+ "epoch": 10.86313525141167,
1510
+ "grad_norm": 0.38864666223526,
1511
+ "learning_rate": 0.00015002206531332745,
1512
+ "loss": 2.9449,
1513
+ "step": 202000
1514
+ },
1515
+ {
1516
+ "epoch": 10.916913148695887,
1517
+ "grad_norm": 0.3854575753211975,
1518
+ "learning_rate": 0.00014913945278022947,
1519
+ "loss": 2.95,
1520
+ "step": 203000
1521
+ },
1522
+ {
1523
+ "epoch": 10.970691045980102,
1524
+ "grad_norm": 0.3969317376613617,
1525
+ "learning_rate": 0.0001482568402471315,
1526
+ "loss": 2.9464,
1527
+ "step": 204000
1528
+ },
1529
+ {
1530
+ "epoch": 11.0,
1531
+ "eval_accuracy": 0.4079866062032567,
1532
+ "eval_loss": 3.378293991088867,
1533
+ "eval_runtime": 154.03,
1534
+ "eval_samples_per_second": 376.037,
1535
+ "eval_steps_per_second": 5.882,
1536
+ "step": 204545
1537
+ },
1538
+ {
1539
+ "epoch": 11.024468943264319,
1540
+ "grad_norm": 0.4027111232280731,
1541
+ "learning_rate": 0.0001473751103265666,
1542
+ "loss": 2.9169,
1543
+ "step": 205000
1544
+ },
1545
+ {
1546
+ "epoch": 11.078246840548534,
1547
+ "grad_norm": 0.38684701919555664,
1548
+ "learning_rate": 0.00014649249779346866,
1549
+ "loss": 2.8892,
1550
+ "step": 206000
1551
+ },
1552
+ {
1553
+ "epoch": 11.13202473783275,
1554
+ "grad_norm": 0.4004645049571991,
1555
+ "learning_rate": 0.00014561076787290378,
1556
+ "loss": 2.8914,
1557
+ "step": 207000
1558
+ },
1559
+ {
1560
+ "epoch": 11.185802635116968,
1561
+ "grad_norm": 0.39821696281433105,
1562
+ "learning_rate": 0.0001447281553398058,
1563
+ "loss": 2.8959,
1564
+ "step": 208000
1565
+ },
1566
+ {
1567
+ "epoch": 11.239580532401183,
1568
+ "grad_norm": 0.37264591455459595,
1569
+ "learning_rate": 0.00014384554280670784,
1570
+ "loss": 2.9001,
1571
+ "step": 209000
1572
+ },
1573
+ {
1574
+ "epoch": 11.2933584296854,
1575
+ "grad_norm": 0.40092912316322327,
1576
+ "learning_rate": 0.00014296293027360986,
1577
+ "loss": 2.903,
1578
+ "step": 210000
1579
+ },
1580
+ {
1581
+ "epoch": 11.347136326969615,
1582
+ "grad_norm": 0.4014595150947571,
1583
+ "learning_rate": 0.000142081200353045,
1584
+ "loss": 2.9087,
1585
+ "step": 211000
1586
+ },
1587
+ {
1588
+ "epoch": 11.400914224253832,
1589
+ "grad_norm": 0.4027450978755951,
1590
+ "learning_rate": 0.00014119858781994703,
1591
+ "loss": 2.9107,
1592
+ "step": 212000
1593
+ },
1594
+ {
1595
+ "epoch": 11.454692121538049,
1596
+ "grad_norm": 0.3879305124282837,
1597
+ "learning_rate": 0.00014031597528684904,
1598
+ "loss": 2.9139,
1599
+ "step": 213000
1600
+ },
1601
+ {
1602
+ "epoch": 11.508470018822264,
1603
+ "grad_norm": 0.42585039138793945,
1604
+ "learning_rate": 0.0001394333627537511,
1605
+ "loss": 2.9174,
1606
+ "step": 214000
1607
+ },
1608
+ {
1609
+ "epoch": 11.56224791610648,
1610
+ "grad_norm": 0.41681861877441406,
1611
+ "learning_rate": 0.00013855163283318624,
1612
+ "loss": 2.918,
1613
+ "step": 215000
1614
+ },
1615
+ {
1616
+ "epoch": 11.616025813390696,
1617
+ "grad_norm": 0.3900226950645447,
1618
+ "learning_rate": 0.00013766990291262134,
1619
+ "loss": 2.919,
1620
+ "step": 216000
1621
+ },
1622
+ {
1623
+ "epoch": 11.669803710674913,
1624
+ "grad_norm": 0.3816623091697693,
1625
+ "learning_rate": 0.00013678729037952338,
1626
+ "loss": 2.9215,
1627
+ "step": 217000
1628
+ },
1629
+ {
1630
+ "epoch": 11.72358160795913,
1631
+ "grad_norm": 0.37244102358818054,
1632
+ "learning_rate": 0.0001359046778464254,
1633
+ "loss": 2.9189,
1634
+ "step": 218000
1635
+ },
1636
+ {
1637
+ "epoch": 11.777359505243345,
1638
+ "grad_norm": 0.39248353242874146,
1639
+ "learning_rate": 0.00013502206531332744,
1640
+ "loss": 2.9165,
1641
+ "step": 219000
1642
+ },
1643
+ {
1644
+ "epoch": 11.831137402527562,
1645
+ "grad_norm": 0.3882627785205841,
1646
+ "learning_rate": 0.00013414033539276257,
1647
+ "loss": 2.9226,
1648
+ "step": 220000
1649
+ },
1650
+ {
1651
+ "epoch": 11.884915299811777,
1652
+ "grad_norm": 0.39201658964157104,
1653
+ "learning_rate": 0.00013325772285966458,
1654
+ "loss": 2.9234,
1655
+ "step": 221000
1656
+ },
1657
+ {
1658
+ "epoch": 11.938693197095994,
1659
+ "grad_norm": 0.39154133200645447,
1660
+ "learning_rate": 0.00013237599293909974,
1661
+ "loss": 2.9267,
1662
+ "step": 222000
1663
+ },
1664
+ {
1665
+ "epoch": 11.99247109438021,
1666
+ "grad_norm": 0.39426833391189575,
1667
+ "learning_rate": 0.00013149338040600175,
1668
+ "loss": 2.9234,
1669
+ "step": 223000
1670
+ },
1671
+ {
1672
+ "epoch": 12.0,
1673
+ "eval_accuracy": 0.40836213447042485,
1674
+ "eval_loss": 3.383244037628174,
1675
+ "eval_runtime": 154.3587,
1676
+ "eval_samples_per_second": 375.236,
1677
+ "eval_steps_per_second": 5.869,
1678
+ "step": 223140
1679
+ },
1680
+ {
1681
+ "epoch": 12.046248991664426,
1682
+ "grad_norm": 0.3944448232650757,
1683
+ "learning_rate": 0.00013061165048543688,
1684
+ "loss": 2.8663,
1685
+ "step": 224000
1686
+ },
1687
+ {
1688
+ "epoch": 12.100026888948642,
1689
+ "grad_norm": 0.409795880317688,
1690
+ "learning_rate": 0.0001297290379523389,
1691
+ "loss": 2.867,
1692
+ "step": 225000
1693
+ },
1694
+ {
1695
+ "epoch": 12.153804786232858,
1696
+ "grad_norm": 0.42699024081230164,
1697
+ "learning_rate": 0.00012884642541924094,
1698
+ "loss": 2.8737,
1699
+ "step": 226000
1700
+ },
1701
+ {
1702
+ "epoch": 12.207582683517074,
1703
+ "grad_norm": 0.40281254053115845,
1704
+ "learning_rate": 0.00012796557811120917,
1705
+ "loss": 2.8802,
1706
+ "step": 227000
1707
+ },
1708
+ {
1709
+ "epoch": 12.261360580801291,
1710
+ "grad_norm": 0.41500693559646606,
1711
+ "learning_rate": 0.0001270829655781112,
1712
+ "loss": 2.8801,
1713
+ "step": 228000
1714
+ },
1715
+ {
1716
+ "epoch": 12.315138478085506,
1717
+ "grad_norm": 0.3833758533000946,
1718
+ "learning_rate": 0.00012620035304501323,
1719
+ "loss": 2.8872,
1720
+ "step": 229000
1721
+ },
1722
+ {
1723
+ "epoch": 12.368916375369723,
1724
+ "grad_norm": 0.40702077746391296,
1725
+ "learning_rate": 0.00012531774051191525,
1726
+ "loss": 2.8852,
1727
+ "step": 230000
1728
+ },
1729
+ {
1730
+ "epoch": 12.422694272653938,
1731
+ "grad_norm": 0.38716500997543335,
1732
+ "learning_rate": 0.0001244351279788173,
1733
+ "loss": 2.8888,
1734
+ "step": 231000
1735
+ },
1736
+ {
1737
+ "epoch": 12.476472169938155,
1738
+ "grad_norm": 0.36926084756851196,
1739
+ "learning_rate": 0.00012355251544571934,
1740
+ "loss": 2.8933,
1741
+ "step": 232000
1742
+ },
1743
+ {
1744
+ "epoch": 12.530250067222372,
1745
+ "grad_norm": 0.40624773502349854,
1746
+ "learning_rate": 0.00012267078552515443,
1747
+ "loss": 2.8932,
1748
+ "step": 233000
1749
+ },
1750
+ {
1751
+ "epoch": 12.584027964506587,
1752
+ "grad_norm": 0.3890169858932495,
1753
+ "learning_rate": 0.00012178817299205648,
1754
+ "loss": 2.8969,
1755
+ "step": 234000
1756
+ },
1757
+ {
1758
+ "epoch": 12.637805861790804,
1759
+ "grad_norm": 0.403980553150177,
1760
+ "learning_rate": 0.0001209064430714916,
1761
+ "loss": 2.895,
1762
+ "step": 235000
1763
+ },
1764
+ {
1765
+ "epoch": 12.69158375907502,
1766
+ "grad_norm": 0.3942379057407379,
1767
+ "learning_rate": 0.00012002383053839363,
1768
+ "loss": 2.8956,
1769
+ "step": 236000
1770
+ },
1771
+ {
1772
+ "epoch": 12.745361656359236,
1773
+ "grad_norm": 0.3773936629295349,
1774
+ "learning_rate": 0.00011914121800529566,
1775
+ "loss": 2.8996,
1776
+ "step": 237000
1777
+ },
1778
+ {
1779
+ "epoch": 12.799139553643453,
1780
+ "grad_norm": 0.40187960863113403,
1781
+ "learning_rate": 0.0001182594880847308,
1782
+ "loss": 2.9019,
1783
+ "step": 238000
1784
+ },
1785
+ {
1786
+ "epoch": 12.852917450927668,
1787
+ "grad_norm": 0.3979538381099701,
1788
+ "learning_rate": 0.00011737687555163282,
1789
+ "loss": 2.9017,
1790
+ "step": 239000
1791
+ },
1792
+ {
1793
+ "epoch": 12.906695348211885,
1794
+ "grad_norm": 0.37608620524406433,
1795
+ "learning_rate": 0.00011649426301853485,
1796
+ "loss": 2.9048,
1797
+ "step": 240000
1798
+ },
1799
+ {
1800
+ "epoch": 12.9604732454961,
1801
+ "grad_norm": 0.39789021015167236,
1802
+ "learning_rate": 0.00011561253309796997,
1803
+ "loss": 2.9068,
1804
+ "step": 241000
1805
+ },
1806
+ {
1807
+ "epoch": 13.0,
1808
+ "eval_accuracy": 0.4087216070567606,
1809
+ "eval_loss": 3.383761167526245,
1810
+ "eval_runtime": 154.4144,
1811
+ "eval_samples_per_second": 375.101,
1812
+ "eval_steps_per_second": 5.867,
1813
+ "step": 241735
1814
+ },
1815
+ {
1816
+ "epoch": 13.014251142780317,
1817
+ "grad_norm": 0.39842721819877625,
1818
+ "learning_rate": 0.00011472992056487202,
1819
+ "loss": 2.889,
1820
+ "step": 242000
1821
+ },
1822
+ {
1823
+ "epoch": 13.068029040064534,
1824
+ "grad_norm": 0.40080752968788147,
1825
+ "learning_rate": 0.00011384730803177405,
1826
+ "loss": 2.851,
1827
+ "step": 243000
1828
+ },
1829
+ {
1830
+ "epoch": 13.12180693734875,
1831
+ "grad_norm": 0.40195319056510925,
1832
+ "learning_rate": 0.00011296557811120917,
1833
+ "loss": 2.8539,
1834
+ "step": 244000
1835
+ },
1836
+ {
1837
+ "epoch": 13.175584834632966,
1838
+ "grad_norm": 0.385681688785553,
1839
+ "learning_rate": 0.0001120829655781112,
1840
+ "loss": 2.8565,
1841
+ "step": 245000
1842
+ },
1843
+ {
1844
+ "epoch": 13.229362731917181,
1845
+ "grad_norm": 0.383973091840744,
1846
+ "learning_rate": 0.00011120035304501322,
1847
+ "loss": 2.8581,
1848
+ "step": 246000
1849
+ },
1850
+ {
1851
+ "epoch": 13.283140629201398,
1852
+ "grad_norm": 0.3838016092777252,
1853
+ "learning_rate": 0.00011031774051191526,
1854
+ "loss": 2.8625,
1855
+ "step": 247000
1856
+ },
1857
+ {
1858
+ "epoch": 13.336918526485615,
1859
+ "grad_norm": 0.38851508498191833,
1860
+ "learning_rate": 0.00010943601059135037,
1861
+ "loss": 2.8618,
1862
+ "step": 248000
1863
+ },
1864
+ {
1865
+ "epoch": 13.39069642376983,
1866
+ "grad_norm": 0.40345388650894165,
1867
+ "learning_rate": 0.00010855428067078551,
1868
+ "loss": 2.8634,
1869
+ "step": 249000
1870
+ },
1871
+ {
1872
+ "epoch": 13.444474321054047,
1873
+ "grad_norm": 0.41579893231391907,
1874
+ "learning_rate": 0.00010767166813768754,
1875
+ "loss": 2.8678,
1876
+ "step": 250000
1877
+ },
1878
+ {
1879
+ "epoch": 13.498252218338264,
1880
+ "grad_norm": 0.4044778347015381,
1881
+ "learning_rate": 0.00010678905560458957,
1882
+ "loss": 2.87,
1883
+ "step": 251000
1884
+ },
1885
+ {
1886
+ "epoch": 13.552030115622479,
1887
+ "grad_norm": 0.39501869678497314,
1888
+ "learning_rate": 0.0001059064430714916,
1889
+ "loss": 2.8777,
1890
+ "step": 252000
1891
+ },
1892
+ {
1893
+ "epoch": 13.605808012906696,
1894
+ "grad_norm": 0.406240850687027,
1895
+ "learning_rate": 0.00010502471315092674,
1896
+ "loss": 2.8775,
1897
+ "step": 253000
1898
+ },
1899
+ {
1900
+ "epoch": 13.659585910190911,
1901
+ "grad_norm": 0.39923685789108276,
1902
+ "learning_rate": 0.00010414210061782876,
1903
+ "loss": 2.8752,
1904
+ "step": 254000
1905
+ },
1906
+ {
1907
+ "epoch": 13.713363807475128,
1908
+ "grad_norm": 0.4037391245365143,
1909
+ "learning_rate": 0.0001032603706972639,
1910
+ "loss": 2.8808,
1911
+ "step": 255000
1912
+ },
1913
+ {
1914
+ "epoch": 13.767141704759345,
1915
+ "grad_norm": 0.3982155919075012,
1916
+ "learning_rate": 0.00010237775816416591,
1917
+ "loss": 2.8814,
1918
+ "step": 256000
1919
+ },
1920
+ {
1921
+ "epoch": 13.82091960204356,
1922
+ "grad_norm": 0.40128931403160095,
1923
+ "learning_rate": 0.00010149691085613415,
1924
+ "loss": 2.8843,
1925
+ "step": 257000
1926
+ },
1927
+ {
1928
+ "epoch": 13.874697499327777,
1929
+ "grad_norm": 0.4084520936012268,
1930
+ "learning_rate": 0.00010061429832303619,
1931
+ "loss": 2.8802,
1932
+ "step": 258000
1933
+ },
1934
+ {
1935
+ "epoch": 13.928475396611992,
1936
+ "grad_norm": 0.38339564204216003,
1937
+ "learning_rate": 9.973168578993821e-05,
1938
+ "loss": 2.8805,
1939
+ "step": 259000
1940
+ },
1941
+ {
1942
+ "epoch": 13.982253293896209,
1943
+ "grad_norm": 0.39040228724479675,
1944
+ "learning_rate": 9.884907325684024e-05,
1945
+ "loss": 2.88,
1946
+ "step": 260000
1947
+ },
1948
+ {
1949
+ "epoch": 14.0,
1950
+ "eval_accuracy": 0.4090670393196906,
1951
+ "eval_loss": 3.3881213665008545,
1952
+ "eval_runtime": 153.9195,
1953
+ "eval_samples_per_second": 376.307,
1954
+ "eval_steps_per_second": 5.886,
1955
+ "step": 260330
1956
+ },
1957
+ {
1958
+ "epoch": 14.036031191180426,
1959
+ "grad_norm": 0.4209740459918976,
1960
+ "learning_rate": 9.796734333627536e-05,
1961
+ "loss": 2.8478,
1962
+ "step": 261000
1963
+ },
1964
+ {
1965
+ "epoch": 14.08980908846464,
1966
+ "grad_norm": 0.40589722990989685,
1967
+ "learning_rate": 9.70847308031774e-05,
1968
+ "loss": 2.8301,
1969
+ "step": 262000
1970
+ },
1971
+ {
1972
+ "epoch": 14.143586985748858,
1973
+ "grad_norm": 0.4551624357700348,
1974
+ "learning_rate": 9.620300088261252e-05,
1975
+ "loss": 2.8316,
1976
+ "step": 263000
1977
+ },
1978
+ {
1979
+ "epoch": 14.197364883033073,
1980
+ "grad_norm": 0.4008908271789551,
1981
+ "learning_rate": 9.532038834951455e-05,
1982
+ "loss": 2.8363,
1983
+ "step": 264000
1984
+ },
1985
+ {
1986
+ "epoch": 14.25114278031729,
1987
+ "grad_norm": 0.4118269681930542,
1988
+ "learning_rate": 9.443865842894969e-05,
1989
+ "loss": 2.8439,
1990
+ "step": 265000
1991
+ },
1992
+ {
1993
+ "epoch": 14.304920677601507,
1994
+ "grad_norm": 0.4041500985622406,
1995
+ "learning_rate": 9.35560458958517e-05,
1996
+ "loss": 2.8449,
1997
+ "step": 266000
1998
+ },
1999
+ {
2000
+ "epoch": 14.358698574885722,
2001
+ "grad_norm": 0.41177451610565186,
2002
+ "learning_rate": 9.267431597528684e-05,
2003
+ "loss": 2.8455,
2004
+ "step": 267000
2005
+ },
2006
+ {
2007
+ "epoch": 14.412476472169939,
2008
+ "grad_norm": 0.399616539478302,
2009
+ "learning_rate": 9.179170344218886e-05,
2010
+ "loss": 2.8519,
2011
+ "step": 268000
2012
+ },
2013
+ {
2014
+ "epoch": 14.466254369454154,
2015
+ "grad_norm": 0.41544005274772644,
2016
+ "learning_rate": 9.09090909090909e-05,
2017
+ "loss": 2.8493,
2018
+ "step": 269000
2019
+ },
2020
+ {
2021
+ "epoch": 14.52003226673837,
2022
+ "grad_norm": 0.41849789023399353,
2023
+ "learning_rate": 9.002647837599293e-05,
2024
+ "loss": 2.8533,
2025
+ "step": 270000
2026
+ },
2027
+ {
2028
+ "epoch": 14.573810164022587,
2029
+ "grad_norm": 0.43560275435447693,
2030
+ "learning_rate": 8.914474845542806e-05,
2031
+ "loss": 2.8566,
2032
+ "step": 271000
2033
+ },
2034
+ {
2035
+ "epoch": 14.627588061306803,
2036
+ "grad_norm": 0.40364864468574524,
2037
+ "learning_rate": 8.82630185348632e-05,
2038
+ "loss": 2.8566,
2039
+ "step": 272000
2040
+ },
2041
+ {
2042
+ "epoch": 14.68136595859102,
2043
+ "grad_norm": 0.4094676375389099,
2044
+ "learning_rate": 8.738040600176521e-05,
2045
+ "loss": 2.8584,
2046
+ "step": 273000
2047
+ },
2048
+ {
2049
+ "epoch": 14.735143855875235,
2050
+ "grad_norm": 0.40439966320991516,
2051
+ "learning_rate": 8.649867608120035e-05,
2052
+ "loss": 2.8592,
2053
+ "step": 274000
2054
+ },
2055
+ {
2056
+ "epoch": 14.788921753159451,
2057
+ "grad_norm": 0.4156148433685303,
2058
+ "learning_rate": 8.561606354810237e-05,
2059
+ "loss": 2.861,
2060
+ "step": 275000
2061
+ },
2062
+ {
2063
+ "epoch": 14.842699650443668,
2064
+ "grad_norm": 0.4287779927253723,
2065
+ "learning_rate": 8.47334510150044e-05,
2066
+ "loss": 2.8616,
2067
+ "step": 276000
2068
+ },
2069
+ {
2070
+ "epoch": 14.896477547727883,
2071
+ "grad_norm": 0.4273608922958374,
2072
+ "learning_rate": 8.385083848190644e-05,
2073
+ "loss": 2.865,
2074
+ "step": 277000
2075
+ },
2076
+ {
2077
+ "epoch": 14.9502554450121,
2078
+ "grad_norm": 0.4030059278011322,
2079
+ "learning_rate": 8.296910856134155e-05,
2080
+ "loss": 2.8614,
2081
+ "step": 278000
2082
+ },
2083
+ {
2084
+ "epoch": 15.0,
2085
+ "eval_accuracy": 0.40971853719714973,
2086
+ "eval_loss": 3.3862648010253906,
2087
+ "eval_runtime": 154.422,
2088
+ "eval_samples_per_second": 375.083,
2089
+ "eval_steps_per_second": 5.867,
2090
+ "step": 278925
2091
+ },
2092
+ {
2093
+ "epoch": 15.004033342296315,
2094
+ "grad_norm": 0.42723333835601807,
2095
+ "learning_rate": 8.20864960282436e-05,
2096
+ "loss": 2.8594,
2097
+ "step": 279000
2098
+ },
2099
+ {
2100
+ "epoch": 15.057811239580532,
2101
+ "grad_norm": 0.420899361371994,
2102
+ "learning_rate": 8.120653133274491e-05,
2103
+ "loss": 2.8111,
2104
+ "step": 280000
2105
+ },
2106
+ {
2107
+ "epoch": 15.11158913686475,
2108
+ "grad_norm": 0.4493071734905243,
2109
+ "learning_rate": 8.032391879964694e-05,
2110
+ "loss": 2.8189,
2111
+ "step": 281000
2112
+ },
2113
+ {
2114
+ "epoch": 15.165367034148964,
2115
+ "grad_norm": 0.4198229908943176,
2116
+ "learning_rate": 7.944130626654899e-05,
2117
+ "loss": 2.8199,
2118
+ "step": 282000
2119
+ },
2120
+ {
2121
+ "epoch": 15.219144931433181,
2122
+ "grad_norm": 0.44265827536582947,
2123
+ "learning_rate": 7.8558693733451e-05,
2124
+ "loss": 2.8237,
2125
+ "step": 283000
2126
+ },
2127
+ {
2128
+ "epoch": 15.272922828717396,
2129
+ "grad_norm": 0.44851958751678467,
2130
+ "learning_rate": 7.767608120035305e-05,
2131
+ "loss": 2.8257,
2132
+ "step": 284000
2133
+ },
2134
+ {
2135
+ "epoch": 15.326700726001613,
2136
+ "grad_norm": 0.4241320788860321,
2137
+ "learning_rate": 7.679435127978816e-05,
2138
+ "loss": 2.8296,
2139
+ "step": 285000
2140
+ },
2141
+ {
2142
+ "epoch": 15.38047862328583,
2143
+ "grad_norm": 0.4106122851371765,
2144
+ "learning_rate": 7.59117387466902e-05,
2145
+ "loss": 2.8334,
2146
+ "step": 286000
2147
+ },
2148
+ {
2149
+ "epoch": 15.434256520570045,
2150
+ "grad_norm": 0.4082964360713959,
2151
+ "learning_rate": 7.502912621359223e-05,
2152
+ "loss": 2.8322,
2153
+ "step": 287000
2154
+ },
2155
+ {
2156
+ "epoch": 15.488034417854262,
2157
+ "grad_norm": 0.4180322587490082,
2158
+ "learning_rate": 7.414739629302736e-05,
2159
+ "loss": 2.8338,
2160
+ "step": 288000
2161
+ },
2162
+ {
2163
+ "epoch": 15.541812315138477,
2164
+ "grad_norm": 0.424429327249527,
2165
+ "learning_rate": 7.326478375992939e-05,
2166
+ "loss": 2.8344,
2167
+ "step": 289000
2168
+ },
2169
+ {
2170
+ "epoch": 15.595590212422694,
2171
+ "grad_norm": 0.4517696797847748,
2172
+ "learning_rate": 7.238305383936451e-05,
2173
+ "loss": 2.8371,
2174
+ "step": 290000
2175
+ },
2176
+ {
2177
+ "epoch": 15.649368109706911,
2178
+ "grad_norm": 0.433946430683136,
2179
+ "learning_rate": 7.150044130626654e-05,
2180
+ "loss": 2.8344,
2181
+ "step": 291000
2182
+ },
2183
+ {
2184
+ "epoch": 15.703146006991126,
2185
+ "grad_norm": 0.43706047534942627,
2186
+ "learning_rate": 7.061782877316857e-05,
2187
+ "loss": 2.8371,
2188
+ "step": 292000
2189
+ },
2190
+ {
2191
+ "epoch": 15.756923904275343,
2192
+ "grad_norm": 0.4216670095920563,
2193
+ "learning_rate": 6.97352162400706e-05,
2194
+ "loss": 2.8416,
2195
+ "step": 293000
2196
+ },
2197
+ {
2198
+ "epoch": 15.81070180155956,
2199
+ "grad_norm": 0.42567121982574463,
2200
+ "learning_rate": 6.885348631950573e-05,
2201
+ "loss": 2.8412,
2202
+ "step": 294000
2203
+ },
2204
+ {
2205
+ "epoch": 15.864479698843775,
2206
+ "grad_norm": 0.45544958114624023,
2207
+ "learning_rate": 6.797087378640776e-05,
2208
+ "loss": 2.8425,
2209
+ "step": 295000
2210
+ },
2211
+ {
2212
+ "epoch": 15.918257596127992,
2213
+ "grad_norm": 0.42355233430862427,
2214
+ "learning_rate": 6.708914386584288e-05,
2215
+ "loss": 2.8427,
2216
+ "step": 296000
2217
+ },
2218
+ {
2219
+ "epoch": 15.972035493412207,
2220
+ "grad_norm": 0.40585145354270935,
2221
+ "learning_rate": 6.620741394527801e-05,
2222
+ "loss": 2.841,
2223
+ "step": 297000
2224
+ },
2225
+ {
2226
+ "epoch": 16.0,
2227
+ "eval_accuracy": 0.40937653104184507,
2228
+ "eval_loss": 3.4092414379119873,
2229
+ "eval_runtime": 154.0074,
2230
+ "eval_samples_per_second": 376.092,
2231
+ "eval_steps_per_second": 5.883,
2232
+ "step": 297520
2233
+ },
2234
+ {
2235
+ "epoch": 16.025813390696424,
2236
+ "grad_norm": 0.43941229581832886,
2237
+ "learning_rate": 6.532480141218005e-05,
2238
+ "loss": 2.8215,
2239
+ "step": 298000
2240
+ },
2241
+ {
2242
+ "epoch": 16.07959128798064,
2243
+ "grad_norm": 0.4342760145664215,
2244
+ "learning_rate": 6.444218887908208e-05,
2245
+ "loss": 2.8046,
2246
+ "step": 299000
2247
+ },
2248
+ {
2249
+ "epoch": 16.133369185264858,
2250
+ "grad_norm": 0.4505048394203186,
2251
+ "learning_rate": 6.356045895851721e-05,
2252
+ "loss": 2.8076,
2253
+ "step": 300000
2254
+ },
2255
+ {
2256
+ "epoch": 16.18714708254907,
2257
+ "grad_norm": 0.45032915472984314,
2258
+ "learning_rate": 6.267784642541924e-05,
2259
+ "loss": 2.8041,
2260
+ "step": 301000
2261
+ },
2262
+ {
2263
+ "epoch": 16.240924979833288,
2264
+ "grad_norm": 0.44145554304122925,
2265
+ "learning_rate": 6.179523389232127e-05,
2266
+ "loss": 2.8097,
2267
+ "step": 302000
2268
+ },
2269
+ {
2270
+ "epoch": 16.294702877117505,
2271
+ "grad_norm": 0.4323660433292389,
2272
+ "learning_rate": 6.091262135922329e-05,
2273
+ "loss": 2.8111,
2274
+ "step": 303000
2275
+ },
2276
+ {
2277
+ "epoch": 16.34848077440172,
2278
+ "grad_norm": 0.43976891040802,
2279
+ "learning_rate": 6.0030891438658424e-05,
2280
+ "loss": 2.8105,
2281
+ "step": 304000
2282
+ },
2283
+ {
2284
+ "epoch": 16.40225867168594,
2285
+ "grad_norm": 0.4359465539455414,
2286
+ "learning_rate": 5.914827890556045e-05,
2287
+ "loss": 2.8109,
2288
+ "step": 305000
2289
+ },
2290
+ {
2291
+ "epoch": 16.456036568970152,
2292
+ "grad_norm": 0.43427878618240356,
2293
+ "learning_rate": 5.8265666372462485e-05,
2294
+ "loss": 2.8154,
2295
+ "step": 306000
2296
+ },
2297
+ {
2298
+ "epoch": 16.50981446625437,
2299
+ "grad_norm": 0.45613136887550354,
2300
+ "learning_rate": 5.7383053839364515e-05,
2301
+ "loss": 2.8171,
2302
+ "step": 307000
2303
+ },
2304
+ {
2305
+ "epoch": 16.563592363538586,
2306
+ "grad_norm": 0.42773687839508057,
2307
+ "learning_rate": 5.650220653133274e-05,
2308
+ "loss": 2.8169,
2309
+ "step": 308000
2310
+ },
2311
+ {
2312
+ "epoch": 16.617370260822803,
2313
+ "grad_norm": 0.4209708869457245,
2314
+ "learning_rate": 5.561959399823477e-05,
2315
+ "loss": 2.8147,
2316
+ "step": 309000
2317
+ },
2318
+ {
2319
+ "epoch": 16.67114815810702,
2320
+ "grad_norm": 0.4385839104652405,
2321
+ "learning_rate": 5.4736981465136795e-05,
2322
+ "loss": 2.822,
2323
+ "step": 310000
2324
+ },
2325
+ {
2326
+ "epoch": 16.724926055391233,
2327
+ "grad_norm": 0.459045946598053,
2328
+ "learning_rate": 5.3855251544571934e-05,
2329
+ "loss": 2.8214,
2330
+ "step": 311000
2331
+ },
2332
+ {
2333
+ "epoch": 16.77870395267545,
2334
+ "grad_norm": 0.43635278940200806,
2335
+ "learning_rate": 5.297263901147396e-05,
2336
+ "loss": 2.8202,
2337
+ "step": 312000
2338
+ },
2339
+ {
2340
+ "epoch": 16.832481849959667,
2341
+ "grad_norm": 0.43077248334884644,
2342
+ "learning_rate": 5.209002647837599e-05,
2343
+ "loss": 2.823,
2344
+ "step": 313000
2345
+ },
2346
+ {
2347
+ "epoch": 16.886259747243884,
2348
+ "grad_norm": 0.43129387497901917,
2349
+ "learning_rate": 5.120741394527802e-05,
2350
+ "loss": 2.8237,
2351
+ "step": 314000
2352
+ },
2353
+ {
2354
+ "epoch": 16.9400376445281,
2355
+ "grad_norm": 0.42089757323265076,
2356
+ "learning_rate": 5.032568402471314e-05,
2357
+ "loss": 2.8228,
2358
+ "step": 315000
2359
+ },
2360
+ {
2361
+ "epoch": 16.993815541812314,
2362
+ "grad_norm": 0.44255971908569336,
2363
+ "learning_rate": 4.944395410414828e-05,
2364
+ "loss": 2.8225,
2365
+ "step": 316000
2366
+ },
2367
+ {
2368
+ "epoch": 17.0,
2369
+ "eval_accuracy": 0.4098076831739891,
2370
+ "eval_loss": 3.3965845108032227,
2371
+ "eval_runtime": 154.459,
2372
+ "eval_samples_per_second": 374.993,
2373
+ "eval_steps_per_second": 5.866,
2374
+ "step": 316115
2375
+ },
2376
+ {
2377
+ "epoch": 17.04759343909653,
2378
+ "grad_norm": 0.4566737115383148,
2379
+ "learning_rate": 4.8561341571050305e-05,
2380
+ "loss": 2.7889,
2381
+ "step": 317000
2382
+ },
2383
+ {
2384
+ "epoch": 17.101371336380748,
2385
+ "grad_norm": 0.4266511797904968,
2386
+ "learning_rate": 4.767961165048544e-05,
2387
+ "loss": 2.7872,
2388
+ "step": 318000
2389
+ },
2390
+ {
2391
+ "epoch": 17.155149233664964,
2392
+ "grad_norm": 0.43798133730888367,
2393
+ "learning_rate": 4.679699911738746e-05,
2394
+ "loss": 2.7905,
2395
+ "step": 319000
2396
+ },
2397
+ {
2398
+ "epoch": 17.20892713094918,
2399
+ "grad_norm": 0.4472503662109375,
2400
+ "learning_rate": 4.591438658428949e-05,
2401
+ "loss": 2.7931,
2402
+ "step": 320000
2403
+ },
2404
+ {
2405
+ "epoch": 17.262705028233395,
2406
+ "grad_norm": 0.45179733633995056,
2407
+ "learning_rate": 4.503177405119153e-05,
2408
+ "loss": 2.7924,
2409
+ "step": 321000
2410
+ },
2411
+ {
2412
+ "epoch": 17.31648292551761,
2413
+ "grad_norm": 0.43849724531173706,
2414
+ "learning_rate": 4.414916151809356e-05,
2415
+ "loss": 2.7959,
2416
+ "step": 322000
2417
+ },
2418
+ {
2419
+ "epoch": 17.37026082280183,
2420
+ "grad_norm": 0.444363534450531,
2421
+ "learning_rate": 4.326743159752868e-05,
2422
+ "loss": 2.7984,
2423
+ "step": 323000
2424
+ },
2425
+ {
2426
+ "epoch": 17.424038720086045,
2427
+ "grad_norm": 0.4618755280971527,
2428
+ "learning_rate": 4.238481906443071e-05,
2429
+ "loss": 2.7971,
2430
+ "step": 324000
2431
+ },
2432
+ {
2433
+ "epoch": 17.477816617370262,
2434
+ "grad_norm": 0.44242867827415466,
2435
+ "learning_rate": 4.150308914386584e-05,
2436
+ "loss": 2.7994,
2437
+ "step": 325000
2438
+ },
2439
+ {
2440
+ "epoch": 17.531594514654476,
2441
+ "grad_norm": 0.4494096636772156,
2442
+ "learning_rate": 4.062047661076787e-05,
2443
+ "loss": 2.7972,
2444
+ "step": 326000
2445
+ },
2446
+ {
2447
+ "epoch": 17.585372411938692,
2448
+ "grad_norm": 0.4398290514945984,
2449
+ "learning_rate": 3.97378640776699e-05,
2450
+ "loss": 2.8002,
2451
+ "step": 327000
2452
+ },
2453
+ {
2454
+ "epoch": 17.63915030922291,
2455
+ "grad_norm": 0.43445536494255066,
2456
+ "learning_rate": 3.885525154457193e-05,
2457
+ "loss": 2.8015,
2458
+ "step": 328000
2459
+ },
2460
+ {
2461
+ "epoch": 17.692928206507126,
2462
+ "grad_norm": 0.43242964148521423,
2463
+ "learning_rate": 3.797352162400706e-05,
2464
+ "loss": 2.8037,
2465
+ "step": 329000
2466
+ },
2467
+ {
2468
+ "epoch": 17.746706103791343,
2469
+ "grad_norm": 0.43721792101860046,
2470
+ "learning_rate": 3.7091791703442186e-05,
2471
+ "loss": 2.8024,
2472
+ "step": 330000
2473
+ },
2474
+ {
2475
+ "epoch": 17.800484001075557,
2476
+ "grad_norm": 0.46508708596229553,
2477
+ "learning_rate": 3.6209179170344216e-05,
2478
+ "loss": 2.8028,
2479
+ "step": 331000
2480
+ },
2481
+ {
2482
+ "epoch": 17.854261898359773,
2483
+ "grad_norm": 0.4641873836517334,
2484
+ "learning_rate": 3.5326566637246246e-05,
2485
+ "loss": 2.8042,
2486
+ "step": 332000
2487
+ },
2488
+ {
2489
+ "epoch": 17.90803979564399,
2490
+ "grad_norm": 0.4373840391635895,
2491
+ "learning_rate": 3.4443954104148276e-05,
2492
+ "loss": 2.8067,
2493
+ "step": 333000
2494
+ },
2495
+ {
2496
+ "epoch": 17.961817692928207,
2497
+ "grad_norm": 0.4608209729194641,
2498
+ "learning_rate": 3.35622241835834e-05,
2499
+ "loss": 2.8062,
2500
+ "step": 334000
2501
+ },
2502
+ {
2503
+ "epoch": 18.0,
2504
+ "eval_accuracy": 0.4095544199240385,
2505
+ "eval_loss": 3.4095396995544434,
2506
+ "eval_runtime": 154.3283,
2507
+ "eval_samples_per_second": 375.31,
2508
+ "eval_steps_per_second": 5.871,
2509
+ "step": 334710
2510
+ },
2511
+ {
2512
+ "epoch": 18.015595590212424,
2513
+ "grad_norm": 0.4512391686439514,
2514
+ "learning_rate": 3.268049426301853e-05,
2515
+ "loss": 2.7991,
2516
+ "step": 335000
2517
+ },
2518
+ {
2519
+ "epoch": 18.069373487496637,
2520
+ "grad_norm": 0.4583674967288971,
2521
+ "learning_rate": 3.179788172992056e-05,
2522
+ "loss": 2.7775,
2523
+ "step": 336000
2524
+ },
2525
+ {
2526
+ "epoch": 18.123151384780854,
2527
+ "grad_norm": 0.43765154480934143,
2528
+ "learning_rate": 3.0915269196822593e-05,
2529
+ "loss": 2.7777,
2530
+ "step": 337000
2531
+ },
2532
+ {
2533
+ "epoch": 18.17692928206507,
2534
+ "grad_norm": 0.4475190341472626,
2535
+ "learning_rate": 3.003265666372462e-05,
2536
+ "loss": 2.7755,
2537
+ "step": 338000
2538
+ },
2539
+ {
2540
+ "epoch": 18.230707179349288,
2541
+ "grad_norm": 0.47484225034713745,
2542
+ "learning_rate": 2.9150926743159752e-05,
2543
+ "loss": 2.7748,
2544
+ "step": 339000
2545
+ },
2546
+ {
2547
+ "epoch": 18.284485076633505,
2548
+ "grad_norm": 0.44132038950920105,
2549
+ "learning_rate": 2.8269196822594877e-05,
2550
+ "loss": 2.7786,
2551
+ "step": 340000
2552
+ },
2553
+ {
2554
+ "epoch": 18.33826297391772,
2555
+ "grad_norm": 0.44409921765327454,
2556
+ "learning_rate": 2.7386584289496907e-05,
2557
+ "loss": 2.7843,
2558
+ "step": 341000
2559
+ },
2560
+ {
2561
+ "epoch": 18.392040871201935,
2562
+ "grad_norm": 0.4480835795402527,
2563
+ "learning_rate": 2.6503971756398938e-05,
2564
+ "loss": 2.7806,
2565
+ "step": 342000
2566
+ },
2567
+ {
2568
+ "epoch": 18.445818768486152,
2569
+ "grad_norm": 0.46462225914001465,
2570
+ "learning_rate": 2.5621359223300968e-05,
2571
+ "loss": 2.7848,
2572
+ "step": 343000
2573
+ },
2574
+ {
2575
+ "epoch": 18.49959666577037,
2576
+ "grad_norm": 0.4442801773548126,
2577
+ "learning_rate": 2.4740511915269195e-05,
2578
+ "loss": 2.7872,
2579
+ "step": 344000
2580
+ },
2581
+ {
2582
+ "epoch": 18.553374563054586,
2583
+ "grad_norm": 0.45635318756103516,
2584
+ "learning_rate": 2.3857899382171225e-05,
2585
+ "loss": 2.7855,
2586
+ "step": 345000
2587
+ },
2588
+ {
2589
+ "epoch": 18.6071524603388,
2590
+ "grad_norm": 0.4429308772087097,
2591
+ "learning_rate": 2.2975286849073255e-05,
2592
+ "loss": 2.7819,
2593
+ "step": 346000
2594
+ },
2595
+ {
2596
+ "epoch": 18.660930357623016,
2597
+ "grad_norm": 0.4405366778373718,
2598
+ "learning_rate": 2.209355692850838e-05,
2599
+ "loss": 2.7859,
2600
+ "step": 347000
2601
+ },
2602
+ {
2603
+ "epoch": 18.714708254907233,
2604
+ "grad_norm": 0.4760023355484009,
2605
+ "learning_rate": 2.1210944395410414e-05,
2606
+ "loss": 2.7845,
2607
+ "step": 348000
2608
+ },
2609
+ {
2610
+ "epoch": 18.76848615219145,
2611
+ "grad_norm": 0.43945708870887756,
2612
+ "learning_rate": 2.032833186231244e-05,
2613
+ "loss": 2.7851,
2614
+ "step": 349000
2615
+ },
2616
+ {
2617
+ "epoch": 18.822264049475667,
2618
+ "grad_norm": 0.4329651892185211,
2619
+ "learning_rate": 1.9446601941747572e-05,
2620
+ "loss": 2.7858,
2621
+ "step": 350000
2622
+ },
2623
+ {
2624
+ "epoch": 18.87604194675988,
2625
+ "grad_norm": 0.4544674754142761,
2626
+ "learning_rate": 1.8563989408649602e-05,
2627
+ "loss": 2.7854,
2628
+ "step": 351000
2629
+ },
2630
+ {
2631
+ "epoch": 18.929819844044097,
2632
+ "grad_norm": 0.45160219073295593,
2633
+ "learning_rate": 1.7681376875551633e-05,
2634
+ "loss": 2.7868,
2635
+ "step": 352000
2636
+ },
2637
+ {
2638
+ "epoch": 18.983597741328314,
2639
+ "grad_norm": 0.4521346092224121,
2640
+ "learning_rate": 1.6798764342453663e-05,
2641
+ "loss": 2.7904,
2642
+ "step": 353000
2643
+ },
2644
+ {
2645
+ "epoch": 19.0,
2646
+ "eval_accuracy": 0.4098326736060797,
2647
+ "eval_loss": 3.416917562484741,
2648
+ "eval_runtime": 154.3288,
2649
+ "eval_samples_per_second": 375.309,
2650
+ "eval_steps_per_second": 5.871,
2651
+ "step": 353305
2652
+ },
2653
+ {
2654
+ "epoch": 19.03737563861253,
2655
+ "grad_norm": 0.4459937810897827,
2656
+ "learning_rate": 1.5916151809355693e-05,
2657
+ "loss": 2.7735,
2658
+ "step": 354000
2659
+ },
2660
+ {
2661
+ "epoch": 19.091153535896748,
2662
+ "grad_norm": 0.4429547190666199,
2663
+ "learning_rate": 1.5035304501323918e-05,
2664
+ "loss": 2.7666,
2665
+ "step": 355000
2666
+ },
2667
+ {
2668
+ "epoch": 19.14493143318096,
2669
+ "grad_norm": 0.45378807187080383,
2670
+ "learning_rate": 1.4152691968225948e-05,
2671
+ "loss": 2.7675,
2672
+ "step": 356000
2673
+ },
2674
+ {
2675
+ "epoch": 19.198709330465178,
2676
+ "grad_norm": 0.4565734267234802,
2677
+ "learning_rate": 1.3270079435127978e-05,
2678
+ "loss": 2.7678,
2679
+ "step": 357000
2680
+ },
2681
+ {
2682
+ "epoch": 19.252487227749395,
2683
+ "grad_norm": 0.46085768938064575,
2684
+ "learning_rate": 1.2387466902030009e-05,
2685
+ "loss": 2.7671,
2686
+ "step": 358000
2687
+ },
2688
+ {
2689
+ "epoch": 19.30626512503361,
2690
+ "grad_norm": 0.45043742656707764,
2691
+ "learning_rate": 1.1505736981465135e-05,
2692
+ "loss": 2.7697,
2693
+ "step": 359000
2694
+ },
2695
+ {
2696
+ "epoch": 19.36004302231783,
2697
+ "grad_norm": 0.44789180159568787,
2698
+ "learning_rate": 1.0623124448367166e-05,
2699
+ "loss": 2.7678,
2700
+ "step": 360000
2701
+ },
2702
+ {
2703
+ "epoch": 19.413820919602042,
2704
+ "grad_norm": 0.46358925104141235,
2705
+ "learning_rate": 9.741394527802292e-06,
2706
+ "loss": 2.7672,
2707
+ "step": 361000
2708
+ },
2709
+ {
2710
+ "epoch": 19.46759881688626,
2711
+ "grad_norm": 0.4664359390735626,
2712
+ "learning_rate": 8.858781994704324e-06,
2713
+ "loss": 2.7646,
2714
+ "step": 362000
2715
+ },
2716
+ {
2717
+ "epoch": 19.521376714170476,
2718
+ "grad_norm": 0.46864446997642517,
2719
+ "learning_rate": 7.976169461606355e-06,
2720
+ "loss": 2.7694,
2721
+ "step": 363000
2722
+ },
2723
+ {
2724
+ "epoch": 19.575154611454693,
2725
+ "grad_norm": 0.4606035351753235,
2726
+ "learning_rate": 7.093556928508385e-06,
2727
+ "loss": 2.7702,
2728
+ "step": 364000
2729
+ },
2730
+ {
2731
+ "epoch": 19.62893250873891,
2732
+ "grad_norm": 0.4529917538166046,
2733
+ "learning_rate": 6.21270962047661e-06,
2734
+ "loss": 2.7703,
2735
+ "step": 365000
2736
+ },
2737
+ {
2738
+ "epoch": 19.682710406023123,
2739
+ "grad_norm": 0.44931086897850037,
2740
+ "learning_rate": 5.33009708737864e-06,
2741
+ "loss": 2.7721,
2742
+ "step": 366000
2743
+ },
2744
+ {
2745
+ "epoch": 19.73648830330734,
2746
+ "grad_norm": 0.4593379497528076,
2747
+ "learning_rate": 4.44748455428067e-06,
2748
+ "loss": 2.766,
2749
+ "step": 367000
2750
+ },
2751
+ {
2752
+ "epoch": 19.790266200591557,
2753
+ "grad_norm": 0.4625178277492523,
2754
+ "learning_rate": 3.565754633715798e-06,
2755
+ "loss": 2.7716,
2756
+ "step": 368000
2757
+ },
2758
+ {
2759
+ "epoch": 19.844044097875774,
2760
+ "grad_norm": 0.441020667552948,
2761
+ "learning_rate": 2.6831421006178284e-06,
2762
+ "loss": 2.771,
2763
+ "step": 369000
2764
+ },
2765
+ {
2766
+ "epoch": 19.89782199515999,
2767
+ "grad_norm": 0.48773327469825745,
2768
+ "learning_rate": 1.8005295675198586e-06,
2769
+ "loss": 2.7657,
2770
+ "step": 370000
2771
+ },
2772
+ {
2773
+ "epoch": 19.951599892444204,
2774
+ "grad_norm": 0.45526123046875,
2775
+ "learning_rate": 9.179170344218888e-07,
2776
+ "loss": 2.775,
2777
+ "step": 371000
2778
+ },
2779
+ {
2780
+ "epoch": 20.0,
2781
+ "eval_accuracy": 0.4096272415057219,
2782
+ "eval_loss": 3.4256882667541504,
2783
+ "eval_runtime": 154.1682,
2784
+ "eval_samples_per_second": 375.7,
2785
+ "eval_steps_per_second": 5.877,
2786
+ "step": 371900
2787
+ },
2788
+ {
2789
+ "epoch": 20.0,
2790
+ "step": 371900,
2791
+ "total_flos": 1.5669257538816e+18,
2792
+ "train_loss": 3.0592986363049124,
2793
+ "train_runtime": 81068.1718,
2794
+ "train_samples_per_second": 146.799,
2795
+ "train_steps_per_second": 4.587
2796
+ }
2797
+ ],
2798
+ "logging_steps": 1000,
2799
+ "max_steps": 371900,
2800
+ "num_input_tokens_seen": 0,
2801
+ "num_train_epochs": 20,
2802
+ "save_steps": 5000,
2803
+ "total_flos": 1.5669257538816e+18,
2804
+ "train_batch_size": 32,
2805
+ "trial_name": null,
2806
+ "trial_params": null
2807
+ }