terry69 commited on
Commit
56ae1be
1 Parent(s): a3beba8

Model save

Browse files
README.md ADDED
@@ -0,0 +1,60 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ library_name: transformers
3
+ license: apache-2.0
4
+ base_model: mistralai/Mistral-7B-Instruct-v0.2
5
+ tags:
6
+ - trl
7
+ - sft
8
+ - generated_from_trainer
9
+ model-index:
10
+ - name: feedback_p0.1_seed42_level2_raremixbatch16_reverse
11
+ results: []
12
+ ---
13
+
14
+ <!-- This model card has been generated automatically according to the information the Trainer had access to. You
15
+ should probably proofread and complete it, then remove this comment. -->
16
+
17
+ # feedback_p0.1_seed42_level2_raremixbatch16_reverse
18
+
19
+ This model is a fine-tuned version of [mistralai/Mistral-7B-Instruct-v0.2](https://huggingface.co/mistralai/Mistral-7B-Instruct-v0.2) on the None dataset.
20
+
21
+ ## Model description
22
+
23
+ More information needed
24
+
25
+ ## Intended uses & limitations
26
+
27
+ More information needed
28
+
29
+ ## Training and evaluation data
30
+
31
+ More information needed
32
+
33
+ ## Training procedure
34
+
35
+ ### Training hyperparameters
36
+
37
+ The following hyperparameters were used during training:
38
+ - learning_rate: 1e-05
39
+ - train_batch_size: 4
40
+ - eval_batch_size: 1
41
+ - seed: 42
42
+ - distributed_type: multi-GPU
43
+ - num_devices: 4
44
+ - total_train_batch_size: 16
45
+ - total_eval_batch_size: 4
46
+ - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
47
+ - lr_scheduler_type: cosine
48
+ - lr_scheduler_warmup_ratio: 0.1
49
+ - num_epochs: 1
50
+
51
+ ### Training results
52
+
53
+
54
+
55
+ ### Framework versions
56
+
57
+ - Transformers 4.44.2
58
+ - Pytorch 2.3.1+cu121
59
+ - Datasets 2.19.1
60
+ - Tokenizers 0.19.1
all_results.json ADDED
@@ -0,0 +1,9 @@
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "epoch": 1.0,
3
+ "total_flos": 195037149265920.0,
4
+ "train_loss": 0.502085976490588,
5
+ "train_runtime": 16545.7004,
6
+ "train_samples": 98952,
7
+ "train_samples_per_second": 1.801,
8
+ "train_steps_per_second": 0.113
9
+ }
generation_config.json ADDED
@@ -0,0 +1,6 @@
 
 
 
 
 
 
 
1
+ {
2
+ "_from_model_config": true,
3
+ "bos_token_id": 1,
4
+ "eos_token_id": 2,
5
+ "transformers_version": "4.44.2"
6
+ }
runs/Sep22_15-57-40_COE-CS-sv003/events.out.tfevents.1727020964.COE-CS-sv003.683295.0 CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:b1730d6690cc4fdc1e532c53213be7062472d5830fbc1ee432fec73544512849
3
- size 84112
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:15ed6f6764797e8eb8ec2d7416027aec9ea9ef05533f207cd5d62e0d43e79912
3
+ size 84466
train_results.json ADDED
@@ -0,0 +1,9 @@
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "epoch": 1.0,
3
+ "total_flos": 195037149265920.0,
4
+ "train_loss": 0.502085976490588,
5
+ "train_runtime": 16545.7004,
6
+ "train_samples": 98952,
7
+ "train_samples_per_second": 1.801,
8
+ "train_steps_per_second": 0.113
9
+ }
trainer_state.json ADDED
@@ -0,0 +1,2660 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_metric": null,
3
+ "best_model_checkpoint": null,
4
+ "epoch": 1.0,
5
+ "eval_steps": 500,
6
+ "global_step": 1863,
7
+ "is_hyper_param_search": false,
8
+ "is_local_process_zero": true,
9
+ "is_world_process_zero": true,
10
+ "log_history": [
11
+ {
12
+ "epoch": 0.0005367686527106817,
13
+ "grad_norm": 23.28716171727923,
14
+ "learning_rate": 5.3475935828877005e-08,
15
+ "loss": 1.3606,
16
+ "step": 1
17
+ },
18
+ {
19
+ "epoch": 0.0026838432635534087,
20
+ "grad_norm": 22.769137088546284,
21
+ "learning_rate": 2.6737967914438503e-07,
22
+ "loss": 1.3206,
23
+ "step": 5
24
+ },
25
+ {
26
+ "epoch": 0.005367686527106817,
27
+ "grad_norm": 15.03004000090198,
28
+ "learning_rate": 5.347593582887701e-07,
29
+ "loss": 1.2762,
30
+ "step": 10
31
+ },
32
+ {
33
+ "epoch": 0.008051529790660225,
34
+ "grad_norm": 12.378775400312193,
35
+ "learning_rate": 8.021390374331551e-07,
36
+ "loss": 1.1378,
37
+ "step": 15
38
+ },
39
+ {
40
+ "epoch": 0.010735373054213635,
41
+ "grad_norm": 8.125374906522033,
42
+ "learning_rate": 1.0695187165775401e-06,
43
+ "loss": 1.0346,
44
+ "step": 20
45
+ },
46
+ {
47
+ "epoch": 0.013419216317767043,
48
+ "grad_norm": 3.5925170353696565,
49
+ "learning_rate": 1.3368983957219254e-06,
50
+ "loss": 0.9282,
51
+ "step": 25
52
+ },
53
+ {
54
+ "epoch": 0.01610305958132045,
55
+ "grad_norm": 3.4343761488143065,
56
+ "learning_rate": 1.6042780748663103e-06,
57
+ "loss": 0.8844,
58
+ "step": 30
59
+ },
60
+ {
61
+ "epoch": 0.01878690284487386,
62
+ "grad_norm": 2.9595304178432196,
63
+ "learning_rate": 1.8716577540106954e-06,
64
+ "loss": 0.8636,
65
+ "step": 35
66
+ },
67
+ {
68
+ "epoch": 0.02147074610842727,
69
+ "grad_norm": 2.9399370698169567,
70
+ "learning_rate": 2.1390374331550802e-06,
71
+ "loss": 0.8473,
72
+ "step": 40
73
+ },
74
+ {
75
+ "epoch": 0.024154589371980676,
76
+ "grad_norm": 2.9713501019978614,
77
+ "learning_rate": 2.4064171122994653e-06,
78
+ "loss": 0.8181,
79
+ "step": 45
80
+ },
81
+ {
82
+ "epoch": 0.026838432635534086,
83
+ "grad_norm": 3.0584787370054074,
84
+ "learning_rate": 2.673796791443851e-06,
85
+ "loss": 0.8237,
86
+ "step": 50
87
+ },
88
+ {
89
+ "epoch": 0.029522275899087493,
90
+ "grad_norm": 3.017155094320408,
91
+ "learning_rate": 2.9411764705882355e-06,
92
+ "loss": 0.8148,
93
+ "step": 55
94
+ },
95
+ {
96
+ "epoch": 0.0322061191626409,
97
+ "grad_norm": 3.1200001832710593,
98
+ "learning_rate": 3.2085561497326205e-06,
99
+ "loss": 0.7871,
100
+ "step": 60
101
+ },
102
+ {
103
+ "epoch": 0.03488996242619431,
104
+ "grad_norm": 3.044693130677567,
105
+ "learning_rate": 3.4759358288770056e-06,
106
+ "loss": 0.7864,
107
+ "step": 65
108
+ },
109
+ {
110
+ "epoch": 0.03757380568974772,
111
+ "grad_norm": 3.122076906807405,
112
+ "learning_rate": 3.7433155080213907e-06,
113
+ "loss": 0.7698,
114
+ "step": 70
115
+ },
116
+ {
117
+ "epoch": 0.040257648953301126,
118
+ "grad_norm": 3.1183701395947843,
119
+ "learning_rate": 4.010695187165775e-06,
120
+ "loss": 0.7654,
121
+ "step": 75
122
+ },
123
+ {
124
+ "epoch": 0.04294149221685454,
125
+ "grad_norm": 3.3424940821294693,
126
+ "learning_rate": 4.2780748663101604e-06,
127
+ "loss": 0.7674,
128
+ "step": 80
129
+ },
130
+ {
131
+ "epoch": 0.045625335480407946,
132
+ "grad_norm": 3.2035321937108883,
133
+ "learning_rate": 4.5454545454545455e-06,
134
+ "loss": 0.7499,
135
+ "step": 85
136
+ },
137
+ {
138
+ "epoch": 0.04830917874396135,
139
+ "grad_norm": 3.5212471784692534,
140
+ "learning_rate": 4.812834224598931e-06,
141
+ "loss": 0.7643,
142
+ "step": 90
143
+ },
144
+ {
145
+ "epoch": 0.05099302200751476,
146
+ "grad_norm": 3.2363611834200783,
147
+ "learning_rate": 5.0802139037433165e-06,
148
+ "loss": 0.7313,
149
+ "step": 95
150
+ },
151
+ {
152
+ "epoch": 0.05367686527106817,
153
+ "grad_norm": 3.073834880911029,
154
+ "learning_rate": 5.347593582887702e-06,
155
+ "loss": 0.7344,
156
+ "step": 100
157
+ },
158
+ {
159
+ "epoch": 0.05636070853462158,
160
+ "grad_norm": 3.141450665557805,
161
+ "learning_rate": 5.614973262032086e-06,
162
+ "loss": 0.7254,
163
+ "step": 105
164
+ },
165
+ {
166
+ "epoch": 0.059044551798174985,
167
+ "grad_norm": 3.0516521468853375,
168
+ "learning_rate": 5.882352941176471e-06,
169
+ "loss": 0.7244,
170
+ "step": 110
171
+ },
172
+ {
173
+ "epoch": 0.06172839506172839,
174
+ "grad_norm": 3.178437501326201,
175
+ "learning_rate": 6.149732620320856e-06,
176
+ "loss": 0.7367,
177
+ "step": 115
178
+ },
179
+ {
180
+ "epoch": 0.0644122383252818,
181
+ "grad_norm": 2.899640273081663,
182
+ "learning_rate": 6.417112299465241e-06,
183
+ "loss": 0.7159,
184
+ "step": 120
185
+ },
186
+ {
187
+ "epoch": 0.06709608158883522,
188
+ "grad_norm": 3.0078658981215263,
189
+ "learning_rate": 6.684491978609626e-06,
190
+ "loss": 0.7143,
191
+ "step": 125
192
+ },
193
+ {
194
+ "epoch": 0.06977992485238863,
195
+ "grad_norm": 2.920930952013271,
196
+ "learning_rate": 6.951871657754011e-06,
197
+ "loss": 0.708,
198
+ "step": 130
199
+ },
200
+ {
201
+ "epoch": 0.07246376811594203,
202
+ "grad_norm": 2.9407712070114775,
203
+ "learning_rate": 7.219251336898396e-06,
204
+ "loss": 0.7173,
205
+ "step": 135
206
+ },
207
+ {
208
+ "epoch": 0.07514761137949544,
209
+ "grad_norm": 3.0787680794058825,
210
+ "learning_rate": 7.486631016042781e-06,
211
+ "loss": 0.716,
212
+ "step": 140
213
+ },
214
+ {
215
+ "epoch": 0.07783145464304884,
216
+ "grad_norm": 2.854092199561474,
217
+ "learning_rate": 7.754010695187166e-06,
218
+ "loss": 0.705,
219
+ "step": 145
220
+ },
221
+ {
222
+ "epoch": 0.08051529790660225,
223
+ "grad_norm": 2.8725262562217733,
224
+ "learning_rate": 8.02139037433155e-06,
225
+ "loss": 0.6948,
226
+ "step": 150
227
+ },
228
+ {
229
+ "epoch": 0.08319914117015566,
230
+ "grad_norm": 2.9188370284915006,
231
+ "learning_rate": 8.288770053475937e-06,
232
+ "loss": 0.7071,
233
+ "step": 155
234
+ },
235
+ {
236
+ "epoch": 0.08588298443370908,
237
+ "grad_norm": 2.9837446626262785,
238
+ "learning_rate": 8.556149732620321e-06,
239
+ "loss": 0.7065,
240
+ "step": 160
241
+ },
242
+ {
243
+ "epoch": 0.08856682769726248,
244
+ "grad_norm": 2.8792102185639568,
245
+ "learning_rate": 8.823529411764707e-06,
246
+ "loss": 0.7189,
247
+ "step": 165
248
+ },
249
+ {
250
+ "epoch": 0.09125067096081589,
251
+ "grad_norm": 2.9038223427057828,
252
+ "learning_rate": 9.090909090909091e-06,
253
+ "loss": 0.7049,
254
+ "step": 170
255
+ },
256
+ {
257
+ "epoch": 0.0939345142243693,
258
+ "grad_norm": 2.794069021471311,
259
+ "learning_rate": 9.358288770053477e-06,
260
+ "loss": 0.7132,
261
+ "step": 175
262
+ },
263
+ {
264
+ "epoch": 0.0966183574879227,
265
+ "grad_norm": 2.7067368920123,
266
+ "learning_rate": 9.625668449197861e-06,
267
+ "loss": 0.6938,
268
+ "step": 180
269
+ },
270
+ {
271
+ "epoch": 0.09930220075147611,
272
+ "grad_norm": 2.675585819188982,
273
+ "learning_rate": 9.893048128342247e-06,
274
+ "loss": 0.7122,
275
+ "step": 185
276
+ },
277
+ {
278
+ "epoch": 0.10198604401502952,
279
+ "grad_norm": 2.7228236046059116,
280
+ "learning_rate": 9.999920944317846e-06,
281
+ "loss": 0.6984,
282
+ "step": 190
283
+ },
284
+ {
285
+ "epoch": 0.10466988727858294,
286
+ "grad_norm": 2.7541945623220725,
287
+ "learning_rate": 9.99943783531341e-06,
288
+ "loss": 0.6952,
289
+ "step": 195
290
+ },
291
+ {
292
+ "epoch": 0.10735373054213634,
293
+ "grad_norm": 2.7994365909423906,
294
+ "learning_rate": 9.998515579512446e-06,
295
+ "loss": 0.7039,
296
+ "step": 200
297
+ },
298
+ {
299
+ "epoch": 0.11003757380568975,
300
+ "grad_norm": 2.598440628370381,
301
+ "learning_rate": 9.997154257925199e-06,
302
+ "loss": 0.7026,
303
+ "step": 205
304
+ },
305
+ {
306
+ "epoch": 0.11272141706924316,
307
+ "grad_norm": 2.687502171080451,
308
+ "learning_rate": 9.995353990129115e-06,
309
+ "loss": 0.6916,
310
+ "step": 210
311
+ },
312
+ {
313
+ "epoch": 0.11540526033279656,
314
+ "grad_norm": 2.742627030622923,
315
+ "learning_rate": 9.99311493425834e-06,
316
+ "loss": 0.6911,
317
+ "step": 215
318
+ },
319
+ {
320
+ "epoch": 0.11808910359634997,
321
+ "grad_norm": 2.707206937929519,
322
+ "learning_rate": 9.99043728698983e-06,
323
+ "loss": 0.6865,
324
+ "step": 220
325
+ },
326
+ {
327
+ "epoch": 0.12077294685990338,
328
+ "grad_norm": 2.78586456787663,
329
+ "learning_rate": 9.987321283526072e-06,
330
+ "loss": 0.6781,
331
+ "step": 225
332
+ },
333
+ {
334
+ "epoch": 0.12345679012345678,
335
+ "grad_norm": 2.609935225307783,
336
+ "learning_rate": 9.983767197574432e-06,
337
+ "loss": 0.6827,
338
+ "step": 230
339
+ },
340
+ {
341
+ "epoch": 0.1261406333870102,
342
+ "grad_norm": 3.8321019619689163,
343
+ "learning_rate": 9.979775341323097e-06,
344
+ "loss": 0.6906,
345
+ "step": 235
346
+ },
347
+ {
348
+ "epoch": 0.1288244766505636,
349
+ "grad_norm": 2.6458670648252056,
350
+ "learning_rate": 9.975346065413673e-06,
351
+ "loss": 0.6715,
352
+ "step": 240
353
+ },
354
+ {
355
+ "epoch": 0.13150831991411702,
356
+ "grad_norm": 2.577401888084613,
357
+ "learning_rate": 9.970479758910365e-06,
358
+ "loss": 0.6748,
359
+ "step": 245
360
+ },
361
+ {
362
+ "epoch": 0.13419216317767044,
363
+ "grad_norm": 2.8481385954442864,
364
+ "learning_rate": 9.965176849265814e-06,
365
+ "loss": 0.6754,
366
+ "step": 250
367
+ },
368
+ {
369
+ "epoch": 0.13687600644122383,
370
+ "grad_norm": 2.517246019195469,
371
+ "learning_rate": 9.959437802283552e-06,
372
+ "loss": 0.682,
373
+ "step": 255
374
+ },
375
+ {
376
+ "epoch": 0.13955984970477725,
377
+ "grad_norm": 2.6167930050900012,
378
+ "learning_rate": 9.953263122077077e-06,
379
+ "loss": 0.6679,
380
+ "step": 260
381
+ },
382
+ {
383
+ "epoch": 0.14224369296833064,
384
+ "grad_norm": 2.6780218273512832,
385
+ "learning_rate": 9.946653351025575e-06,
386
+ "loss": 0.6904,
387
+ "step": 265
388
+ },
389
+ {
390
+ "epoch": 0.14492753623188406,
391
+ "grad_norm": 2.5393008267043244,
392
+ "learning_rate": 9.939609069726279e-06,
393
+ "loss": 0.6588,
394
+ "step": 270
395
+ },
396
+ {
397
+ "epoch": 0.14761137949543746,
398
+ "grad_norm": 2.567260216330596,
399
+ "learning_rate": 9.932130896943477e-06,
400
+ "loss": 0.6764,
401
+ "step": 275
402
+ },
403
+ {
404
+ "epoch": 0.15029522275899088,
405
+ "grad_norm": 2.6695824974327538,
406
+ "learning_rate": 9.924219489554145e-06,
407
+ "loss": 0.6813,
408
+ "step": 280
409
+ },
410
+ {
411
+ "epoch": 0.1529790660225443,
412
+ "grad_norm": 2.533940793717001,
413
+ "learning_rate": 9.915875542490257e-06,
414
+ "loss": 0.6536,
415
+ "step": 285
416
+ },
417
+ {
418
+ "epoch": 0.1556629092860977,
419
+ "grad_norm": 2.5674293408462936,
420
+ "learning_rate": 9.907099788677745e-06,
421
+ "loss": 0.6559,
422
+ "step": 290
423
+ },
424
+ {
425
+ "epoch": 0.1583467525496511,
426
+ "grad_norm": 2.8337795609609975,
427
+ "learning_rate": 9.897892998972113e-06,
428
+ "loss": 0.6661,
429
+ "step": 295
430
+ },
431
+ {
432
+ "epoch": 0.1610305958132045,
433
+ "grad_norm": 2.3297630789068586,
434
+ "learning_rate": 9.888255982090728e-06,
435
+ "loss": 0.6531,
436
+ "step": 300
437
+ },
438
+ {
439
+ "epoch": 0.16371443907675792,
440
+ "grad_norm": 2.4718746964525957,
441
+ "learning_rate": 9.878189584541783e-06,
442
+ "loss": 0.6587,
443
+ "step": 305
444
+ },
445
+ {
446
+ "epoch": 0.16639828234031132,
447
+ "grad_norm": 2.499824010266399,
448
+ "learning_rate": 9.867694690549943e-06,
449
+ "loss": 0.6631,
450
+ "step": 310
451
+ },
452
+ {
453
+ "epoch": 0.16908212560386474,
454
+ "grad_norm": 2.6049840516161176,
455
+ "learning_rate": 9.85677222197867e-06,
456
+ "loss": 0.6703,
457
+ "step": 315
458
+ },
459
+ {
460
+ "epoch": 0.17176596886741816,
461
+ "grad_norm": 2.5299411616320433,
462
+ "learning_rate": 9.845423138249254e-06,
463
+ "loss": 0.6542,
464
+ "step": 320
465
+ },
466
+ {
467
+ "epoch": 0.17444981213097155,
468
+ "grad_norm": 2.616452811741115,
469
+ "learning_rate": 9.833648436256525e-06,
470
+ "loss": 0.6474,
471
+ "step": 325
472
+ },
473
+ {
474
+ "epoch": 0.17713365539452497,
475
+ "grad_norm": 2.961763150997931,
476
+ "learning_rate": 9.821449150281308e-06,
477
+ "loss": 0.6523,
478
+ "step": 330
479
+ },
480
+ {
481
+ "epoch": 0.17981749865807836,
482
+ "grad_norm": 2.3905734159429484,
483
+ "learning_rate": 9.808826351899551e-06,
484
+ "loss": 0.6513,
485
+ "step": 335
486
+ },
487
+ {
488
+ "epoch": 0.18250134192163178,
489
+ "grad_norm": 2.3984015098146445,
490
+ "learning_rate": 9.795781149888216e-06,
491
+ "loss": 0.6545,
492
+ "step": 340
493
+ },
494
+ {
495
+ "epoch": 0.18518518518518517,
496
+ "grad_norm": 2.5747475475768997,
497
+ "learning_rate": 9.782314690127867e-06,
498
+ "loss": 0.6503,
499
+ "step": 345
500
+ },
501
+ {
502
+ "epoch": 0.1878690284487386,
503
+ "grad_norm": 2.5437744632970305,
504
+ "learning_rate": 9.768428155502038e-06,
505
+ "loss": 0.6368,
506
+ "step": 350
507
+ },
508
+ {
509
+ "epoch": 0.19055287171229202,
510
+ "grad_norm": 2.4483397168998344,
511
+ "learning_rate": 9.754122765793306e-06,
512
+ "loss": 0.651,
513
+ "step": 355
514
+ },
515
+ {
516
+ "epoch": 0.1932367149758454,
517
+ "grad_norm": 2.41502899586079,
518
+ "learning_rate": 9.739399777576169e-06,
519
+ "loss": 0.6388,
520
+ "step": 360
521
+ },
522
+ {
523
+ "epoch": 0.19592055823939883,
524
+ "grad_norm": 2.4453852895114165,
525
+ "learning_rate": 9.72426048410665e-06,
526
+ "loss": 0.6473,
527
+ "step": 365
528
+ },
529
+ {
530
+ "epoch": 0.19860440150295222,
531
+ "grad_norm": 2.6224111914099817,
532
+ "learning_rate": 9.70870621520871e-06,
533
+ "loss": 0.6391,
534
+ "step": 370
535
+ },
536
+ {
537
+ "epoch": 0.20128824476650564,
538
+ "grad_norm": 2.4204256543979823,
539
+ "learning_rate": 9.692738337157441e-06,
540
+ "loss": 0.6344,
541
+ "step": 375
542
+ },
543
+ {
544
+ "epoch": 0.20397208803005903,
545
+ "grad_norm": 2.507545837245254,
546
+ "learning_rate": 9.676358252559034e-06,
547
+ "loss": 0.6442,
548
+ "step": 380
549
+ },
550
+ {
551
+ "epoch": 0.20665593129361245,
552
+ "grad_norm": 2.447395496493652,
553
+ "learning_rate": 9.6595674002276e-06,
554
+ "loss": 0.64,
555
+ "step": 385
556
+ },
557
+ {
558
+ "epoch": 0.20933977455716588,
559
+ "grad_norm": 2.535000475190604,
560
+ "learning_rate": 9.642367255058767e-06,
561
+ "loss": 0.6454,
562
+ "step": 390
563
+ },
564
+ {
565
+ "epoch": 0.21202361782071927,
566
+ "grad_norm": 2.6006832067968717,
567
+ "learning_rate": 9.624759327900131e-06,
568
+ "loss": 0.6277,
569
+ "step": 395
570
+ },
571
+ {
572
+ "epoch": 0.2147074610842727,
573
+ "grad_norm": 2.4933727441933544,
574
+ "learning_rate": 9.606745165418554e-06,
575
+ "loss": 0.6182,
576
+ "step": 400
577
+ },
578
+ {
579
+ "epoch": 0.21739130434782608,
580
+ "grad_norm": 2.4889746389586156,
581
+ "learning_rate": 9.58832634996429e-06,
582
+ "loss": 0.6281,
583
+ "step": 405
584
+ },
585
+ {
586
+ "epoch": 0.2200751476113795,
587
+ "grad_norm": 2.5219239764412986,
588
+ "learning_rate": 9.569504499432005e-06,
589
+ "loss": 0.6344,
590
+ "step": 410
591
+ },
592
+ {
593
+ "epoch": 0.2227589908749329,
594
+ "grad_norm": 2.3745658821898257,
595
+ "learning_rate": 9.550281267118659e-06,
596
+ "loss": 0.631,
597
+ "step": 415
598
+ },
599
+ {
600
+ "epoch": 0.22544283413848631,
601
+ "grad_norm": 2.2346818056908297,
602
+ "learning_rate": 9.530658341578276e-06,
603
+ "loss": 0.6204,
604
+ "step": 420
605
+ },
606
+ {
607
+ "epoch": 0.2281266774020397,
608
+ "grad_norm": 2.4926265077123744,
609
+ "learning_rate": 9.510637446473633e-06,
610
+ "loss": 0.6529,
611
+ "step": 425
612
+ },
613
+ {
614
+ "epoch": 0.23081052066559313,
615
+ "grad_norm": 2.48802821661669,
616
+ "learning_rate": 9.490220340424844e-06,
617
+ "loss": 0.6174,
618
+ "step": 430
619
+ },
620
+ {
621
+ "epoch": 0.23349436392914655,
622
+ "grad_norm": 2.469556269426697,
623
+ "learning_rate": 9.469408816854898e-06,
624
+ "loss": 0.6043,
625
+ "step": 435
626
+ },
627
+ {
628
+ "epoch": 0.23617820719269994,
629
+ "grad_norm": 2.6864451968577336,
630
+ "learning_rate": 9.448204703832102e-06,
631
+ "loss": 0.6065,
632
+ "step": 440
633
+ },
634
+ {
635
+ "epoch": 0.23886205045625336,
636
+ "grad_norm": 2.4420100642120266,
637
+ "learning_rate": 9.426609863909537e-06,
638
+ "loss": 0.6282,
639
+ "step": 445
640
+ },
641
+ {
642
+ "epoch": 0.24154589371980675,
643
+ "grad_norm": 2.510650364856611,
644
+ "learning_rate": 9.404626193961427e-06,
645
+ "loss": 0.5997,
646
+ "step": 450
647
+ },
648
+ {
649
+ "epoch": 0.24422973698336017,
650
+ "grad_norm": 2.3827462346485406,
651
+ "learning_rate": 9.382255625016527e-06,
652
+ "loss": 0.6008,
653
+ "step": 455
654
+ },
655
+ {
656
+ "epoch": 0.24691358024691357,
657
+ "grad_norm": 2.404088618249519,
658
+ "learning_rate": 9.359500122088511e-06,
659
+ "loss": 0.5927,
660
+ "step": 460
661
+ },
662
+ {
663
+ "epoch": 0.249597423510467,
664
+ "grad_norm": 2.3314824711234494,
665
+ "learning_rate": 9.336361684003353e-06,
666
+ "loss": 0.6096,
667
+ "step": 465
668
+ },
669
+ {
670
+ "epoch": 0.2522812667740204,
671
+ "grad_norm": 2.446913723709488,
672
+ "learning_rate": 9.312842343223764e-06,
673
+ "loss": 0.6106,
674
+ "step": 470
675
+ },
676
+ {
677
+ "epoch": 0.2549651100375738,
678
+ "grad_norm": 2.3167110287019703,
679
+ "learning_rate": 9.288944165670651e-06,
680
+ "loss": 0.599,
681
+ "step": 475
682
+ },
683
+ {
684
+ "epoch": 0.2576489533011272,
685
+ "grad_norm": 2.6796711972968565,
686
+ "learning_rate": 9.264669250541658e-06,
687
+ "loss": 0.6187,
688
+ "step": 480
689
+ },
690
+ {
691
+ "epoch": 0.2603327965646806,
692
+ "grad_norm": 2.447285579898827,
693
+ "learning_rate": 9.240019730126764e-06,
694
+ "loss": 0.6002,
695
+ "step": 485
696
+ },
697
+ {
698
+ "epoch": 0.26301663982823403,
699
+ "grad_norm": 2.302643028031218,
700
+ "learning_rate": 9.214997769620998e-06,
701
+ "loss": 0.5983,
702
+ "step": 490
703
+ },
704
+ {
705
+ "epoch": 0.26570048309178745,
706
+ "grad_norm": 2.3880478834994663,
707
+ "learning_rate": 9.189605566934235e-06,
708
+ "loss": 0.5927,
709
+ "step": 495
710
+ },
711
+ {
712
+ "epoch": 0.2683843263553409,
713
+ "grad_norm": 2.2821102026944713,
714
+ "learning_rate": 9.163845352498141e-06,
715
+ "loss": 0.5896,
716
+ "step": 500
717
+ },
718
+ {
719
+ "epoch": 0.27106816961889424,
720
+ "grad_norm": 2.316076514886517,
721
+ "learning_rate": 9.137719389070259e-06,
722
+ "loss": 0.612,
723
+ "step": 505
724
+ },
725
+ {
726
+ "epoch": 0.27375201288244766,
727
+ "grad_norm": 2.3669071775322403,
728
+ "learning_rate": 9.111229971535231e-06,
729
+ "loss": 0.5921,
730
+ "step": 510
731
+ },
732
+ {
733
+ "epoch": 0.2764358561460011,
734
+ "grad_norm": 2.40607674649245,
735
+ "learning_rate": 9.084379426703245e-06,
736
+ "loss": 0.5938,
737
+ "step": 515
738
+ },
739
+ {
740
+ "epoch": 0.2791196994095545,
741
+ "grad_norm": 2.483984679590074,
742
+ "learning_rate": 9.057170113105622e-06,
743
+ "loss": 0.5789,
744
+ "step": 520
745
+ },
746
+ {
747
+ "epoch": 0.28180354267310787,
748
+ "grad_norm": 2.4238872137068133,
749
+ "learning_rate": 9.029604420787666e-06,
750
+ "loss": 0.6008,
751
+ "step": 525
752
+ },
753
+ {
754
+ "epoch": 0.2844873859366613,
755
+ "grad_norm": 2.383320761851924,
756
+ "learning_rate": 9.001684771098709e-06,
757
+ "loss": 0.5993,
758
+ "step": 530
759
+ },
760
+ {
761
+ "epoch": 0.2871712292002147,
762
+ "grad_norm": 2.512312617472668,
763
+ "learning_rate": 8.973413616479429e-06,
764
+ "loss": 0.5958,
765
+ "step": 535
766
+ },
767
+ {
768
+ "epoch": 0.2898550724637681,
769
+ "grad_norm": 2.6864702917091523,
770
+ "learning_rate": 8.944793440246435e-06,
771
+ "loss": 0.5821,
772
+ "step": 540
773
+ },
774
+ {
775
+ "epoch": 0.29253891572732155,
776
+ "grad_norm": 2.489768283560843,
777
+ "learning_rate": 8.915826756374118e-06,
778
+ "loss": 0.6023,
779
+ "step": 545
780
+ },
781
+ {
782
+ "epoch": 0.2952227589908749,
783
+ "grad_norm": 2.380432761185623,
784
+ "learning_rate": 8.88651610927384e-06,
785
+ "loss": 0.5814,
786
+ "step": 550
787
+ },
788
+ {
789
+ "epoch": 0.29790660225442833,
790
+ "grad_norm": 2.462661705077354,
791
+ "learning_rate": 8.856864073570429e-06,
792
+ "loss": 0.5805,
793
+ "step": 555
794
+ },
795
+ {
796
+ "epoch": 0.30059044551798175,
797
+ "grad_norm": 2.486846509153566,
798
+ "learning_rate": 8.82687325387603e-06,
799
+ "loss": 0.5611,
800
+ "step": 560
801
+ },
802
+ {
803
+ "epoch": 0.3032742887815352,
804
+ "grad_norm": 2.541139478220017,
805
+ "learning_rate": 8.796546284561307e-06,
806
+ "loss": 0.5655,
807
+ "step": 565
808
+ },
809
+ {
810
+ "epoch": 0.3059581320450886,
811
+ "grad_norm": 2.379694817443973,
812
+ "learning_rate": 8.765885829524059e-06,
813
+ "loss": 0.5675,
814
+ "step": 570
815
+ },
816
+ {
817
+ "epoch": 0.30864197530864196,
818
+ "grad_norm": 2.350864021403126,
819
+ "learning_rate": 8.734894581955208e-06,
820
+ "loss": 0.5821,
821
+ "step": 575
822
+ },
823
+ {
824
+ "epoch": 0.3113258185721954,
825
+ "grad_norm": 2.379951758536895,
826
+ "learning_rate": 8.703575264102245e-06,
827
+ "loss": 0.5698,
828
+ "step": 580
829
+ },
830
+ {
831
+ "epoch": 0.3140096618357488,
832
+ "grad_norm": 2.3798369127801515,
833
+ "learning_rate": 8.6719306270301e-06,
834
+ "loss": 0.5631,
835
+ "step": 585
836
+ },
837
+ {
838
+ "epoch": 0.3166935050993022,
839
+ "grad_norm": 2.379220740648677,
840
+ "learning_rate": 8.639963450379494e-06,
841
+ "loss": 0.5751,
842
+ "step": 590
843
+ },
844
+ {
845
+ "epoch": 0.3193773483628556,
846
+ "grad_norm": 2.3492048464632784,
847
+ "learning_rate": 8.607676542122782e-06,
848
+ "loss": 0.5539,
849
+ "step": 595
850
+ },
851
+ {
852
+ "epoch": 0.322061191626409,
853
+ "grad_norm": 2.6113830025975173,
854
+ "learning_rate": 8.575072738317297e-06,
855
+ "loss": 0.5751,
856
+ "step": 600
857
+ },
858
+ {
859
+ "epoch": 0.3247450348899624,
860
+ "grad_norm": 2.4877003224906735,
861
+ "learning_rate": 8.542154902856232e-06,
862
+ "loss": 0.5721,
863
+ "step": 605
864
+ },
865
+ {
866
+ "epoch": 0.32742887815351585,
867
+ "grad_norm": 2.3397649413444053,
868
+ "learning_rate": 8.508925927217083e-06,
869
+ "loss": 0.5621,
870
+ "step": 610
871
+ },
872
+ {
873
+ "epoch": 0.33011272141706927,
874
+ "grad_norm": 2.2680164614609133,
875
+ "learning_rate": 8.475388730207662e-06,
876
+ "loss": 0.5798,
877
+ "step": 615
878
+ },
879
+ {
880
+ "epoch": 0.33279656468062263,
881
+ "grad_norm": 2.4317631411749927,
882
+ "learning_rate": 8.441546257709708e-06,
883
+ "loss": 0.5472,
884
+ "step": 620
885
+ },
886
+ {
887
+ "epoch": 0.33548040794417605,
888
+ "grad_norm": 2.5007067593128274,
889
+ "learning_rate": 8.407401482420129e-06,
890
+ "loss": 0.5534,
891
+ "step": 625
892
+ },
893
+ {
894
+ "epoch": 0.33816425120772947,
895
+ "grad_norm": 2.3857521002907447,
896
+ "learning_rate": 8.372957403589873e-06,
897
+ "loss": 0.5375,
898
+ "step": 630
899
+ },
900
+ {
901
+ "epoch": 0.3408480944712829,
902
+ "grad_norm": 2.516555809538038,
903
+ "learning_rate": 8.33821704676049e-06,
904
+ "loss": 0.5611,
905
+ "step": 635
906
+ },
907
+ {
908
+ "epoch": 0.3435319377348363,
909
+ "grad_norm": 2.5676610845279257,
910
+ "learning_rate": 8.303183463498357e-06,
911
+ "loss": 0.5473,
912
+ "step": 640
913
+ },
914
+ {
915
+ "epoch": 0.3462157809983897,
916
+ "grad_norm": 2.302836954637436,
917
+ "learning_rate": 8.26785973112664e-06,
918
+ "loss": 0.5459,
919
+ "step": 645
920
+ },
921
+ {
922
+ "epoch": 0.3488996242619431,
923
+ "grad_norm": 2.3119758449459584,
924
+ "learning_rate": 8.232248952454978e-06,
925
+ "loss": 0.5442,
926
+ "step": 650
927
+ },
928
+ {
929
+ "epoch": 0.3515834675254965,
930
+ "grad_norm": 2.5175857720538817,
931
+ "learning_rate": 8.196354255506937e-06,
932
+ "loss": 0.5387,
933
+ "step": 655
934
+ },
935
+ {
936
+ "epoch": 0.35426731078904994,
937
+ "grad_norm": 2.451900935657762,
938
+ "learning_rate": 8.160178793245254e-06,
939
+ "loss": 0.5444,
940
+ "step": 660
941
+ },
942
+ {
943
+ "epoch": 0.3569511540526033,
944
+ "grad_norm": 2.636025059592631,
945
+ "learning_rate": 8.12372574329487e-06,
946
+ "loss": 0.5563,
947
+ "step": 665
948
+ },
949
+ {
950
+ "epoch": 0.3596349973161567,
951
+ "grad_norm": 2.363196861931475,
952
+ "learning_rate": 8.086998307663815e-06,
953
+ "loss": 0.5443,
954
+ "step": 670
955
+ },
956
+ {
957
+ "epoch": 0.36231884057971014,
958
+ "grad_norm": 2.39932692130308,
959
+ "learning_rate": 8.049999712461956e-06,
960
+ "loss": 0.5505,
961
+ "step": 675
962
+ },
963
+ {
964
+ "epoch": 0.36500268384326356,
965
+ "grad_norm": 2.5554774070794943,
966
+ "learning_rate": 8.012733207617602e-06,
967
+ "loss": 0.5489,
968
+ "step": 680
969
+ },
970
+ {
971
+ "epoch": 0.367686527106817,
972
+ "grad_norm": 2.4170056271369957,
973
+ "learning_rate": 7.975202066592038e-06,
974
+ "loss": 0.5406,
975
+ "step": 685
976
+ },
977
+ {
978
+ "epoch": 0.37037037037037035,
979
+ "grad_norm": 2.494465130607427,
980
+ "learning_rate": 7.937409586091996e-06,
981
+ "loss": 0.5392,
982
+ "step": 690
983
+ },
984
+ {
985
+ "epoch": 0.37305421363392377,
986
+ "grad_norm": 2.4001092959702164,
987
+ "learning_rate": 7.899359085780062e-06,
988
+ "loss": 0.5434,
989
+ "step": 695
990
+ },
991
+ {
992
+ "epoch": 0.3757380568974772,
993
+ "grad_norm": 2.494767087344387,
994
+ "learning_rate": 7.86105390798309e-06,
995
+ "loss": 0.5442,
996
+ "step": 700
997
+ },
998
+ {
999
+ "epoch": 0.3784219001610306,
1000
+ "grad_norm": 2.3284854696704356,
1001
+ "learning_rate": 7.822497417398607e-06,
1002
+ "loss": 0.5353,
1003
+ "step": 705
1004
+ },
1005
+ {
1006
+ "epoch": 0.38110574342458403,
1007
+ "grad_norm": 2.6279778731831027,
1008
+ "learning_rate": 7.783693000799263e-06,
1009
+ "loss": 0.5469,
1010
+ "step": 710
1011
+ },
1012
+ {
1013
+ "epoch": 0.3837895866881374,
1014
+ "grad_norm": 2.4030914588904815,
1015
+ "learning_rate": 7.744644066735335e-06,
1016
+ "loss": 0.53,
1017
+ "step": 715
1018
+ },
1019
+ {
1020
+ "epoch": 0.3864734299516908,
1021
+ "grad_norm": 2.568833557957464,
1022
+ "learning_rate": 7.705354045235335e-06,
1023
+ "loss": 0.5345,
1024
+ "step": 720
1025
+ },
1026
+ {
1027
+ "epoch": 0.38915727321524424,
1028
+ "grad_norm": 2.7653994763474463,
1029
+ "learning_rate": 7.665826387504708e-06,
1030
+ "loss": 0.5393,
1031
+ "step": 725
1032
+ },
1033
+ {
1034
+ "epoch": 0.39184111647879766,
1035
+ "grad_norm": 2.414529557123253,
1036
+ "learning_rate": 7.626064565622684e-06,
1037
+ "loss": 0.5116,
1038
+ "step": 730
1039
+ },
1040
+ {
1041
+ "epoch": 0.394524959742351,
1042
+ "grad_norm": 2.4526857440224332,
1043
+ "learning_rate": 7.586072072237291e-06,
1044
+ "loss": 0.5119,
1045
+ "step": 735
1046
+ },
1047
+ {
1048
+ "epoch": 0.39720880300590444,
1049
+ "grad_norm": 2.2455030177617026,
1050
+ "learning_rate": 7.545852420258566e-06,
1051
+ "loss": 0.5284,
1052
+ "step": 740
1053
+ },
1054
+ {
1055
+ "epoch": 0.39989264626945786,
1056
+ "grad_norm": 2.331410743435388,
1057
+ "learning_rate": 7.505409142549987e-06,
1058
+ "loss": 0.5229,
1059
+ "step": 745
1060
+ },
1061
+ {
1062
+ "epoch": 0.4025764895330113,
1063
+ "grad_norm": 2.3706345917751306,
1064
+ "learning_rate": 7.464745791618138e-06,
1065
+ "loss": 0.532,
1066
+ "step": 750
1067
+ },
1068
+ {
1069
+ "epoch": 0.4052603327965647,
1070
+ "grad_norm": 2.31993462909309,
1071
+ "learning_rate": 7.423865939300674e-06,
1072
+ "loss": 0.5282,
1073
+ "step": 755
1074
+ },
1075
+ {
1076
+ "epoch": 0.40794417606011807,
1077
+ "grad_norm": 2.430242372539381,
1078
+ "learning_rate": 7.382773176452561e-06,
1079
+ "loss": 0.5056,
1080
+ "step": 760
1081
+ },
1082
+ {
1083
+ "epoch": 0.4106280193236715,
1084
+ "grad_norm": 2.4104488535149384,
1085
+ "learning_rate": 7.341471112630667e-06,
1086
+ "loss": 0.5136,
1087
+ "step": 765
1088
+ },
1089
+ {
1090
+ "epoch": 0.4133118625872249,
1091
+ "grad_norm": 2.390074462196406,
1092
+ "learning_rate": 7.2999633757766956e-06,
1093
+ "loss": 0.5247,
1094
+ "step": 770
1095
+ },
1096
+ {
1097
+ "epoch": 0.41599570585077833,
1098
+ "grad_norm": 2.4814551853144797,
1099
+ "learning_rate": 7.258253611898509e-06,
1100
+ "loss": 0.5069,
1101
+ "step": 775
1102
+ },
1103
+ {
1104
+ "epoch": 0.41867954911433175,
1105
+ "grad_norm": 2.4009392363914994,
1106
+ "learning_rate": 7.216345484749876e-06,
1107
+ "loss": 0.497,
1108
+ "step": 780
1109
+ },
1110
+ {
1111
+ "epoch": 0.4213633923778851,
1112
+ "grad_norm": 2.41177815934589,
1113
+ "learning_rate": 7.174242675508636e-06,
1114
+ "loss": 0.5166,
1115
+ "step": 785
1116
+ },
1117
+ {
1118
+ "epoch": 0.42404723564143854,
1119
+ "grad_norm": 2.3766268166919224,
1120
+ "learning_rate": 7.131948882453361e-06,
1121
+ "loss": 0.508,
1122
+ "step": 790
1123
+ },
1124
+ {
1125
+ "epoch": 0.42673107890499196,
1126
+ "grad_norm": 2.431582623601011,
1127
+ "learning_rate": 7.089467820638491e-06,
1128
+ "loss": 0.5057,
1129
+ "step": 795
1130
+ },
1131
+ {
1132
+ "epoch": 0.4294149221685454,
1133
+ "grad_norm": 2.311511740768648,
1134
+ "learning_rate": 7.0468032215680116e-06,
1135
+ "loss": 0.5043,
1136
+ "step": 800
1137
+ },
1138
+ {
1139
+ "epoch": 0.43209876543209874,
1140
+ "grad_norm": 2.5497494220264443,
1141
+ "learning_rate": 7.003958832867681e-06,
1142
+ "loss": 0.519,
1143
+ "step": 805
1144
+ },
1145
+ {
1146
+ "epoch": 0.43478260869565216,
1147
+ "grad_norm": 2.264530095456177,
1148
+ "learning_rate": 6.960938417955841e-06,
1149
+ "loss": 0.4932,
1150
+ "step": 810
1151
+ },
1152
+ {
1153
+ "epoch": 0.4374664519592056,
1154
+ "grad_norm": 2.2512135660889907,
1155
+ "learning_rate": 6.917745755712839e-06,
1156
+ "loss": 0.4996,
1157
+ "step": 815
1158
+ },
1159
+ {
1160
+ "epoch": 0.440150295222759,
1161
+ "grad_norm": 2.513756866525175,
1162
+ "learning_rate": 6.874384640149101e-06,
1163
+ "loss": 0.5129,
1164
+ "step": 820
1165
+ },
1166
+ {
1167
+ "epoch": 0.4428341384863124,
1168
+ "grad_norm": 2.3146902188576406,
1169
+ "learning_rate": 6.830858880071859e-06,
1170
+ "loss": 0.5012,
1171
+ "step": 825
1172
+ },
1173
+ {
1174
+ "epoch": 0.4455179817498658,
1175
+ "grad_norm": 2.2871230604131125,
1176
+ "learning_rate": 6.7871722987505975e-06,
1177
+ "loss": 0.4825,
1178
+ "step": 830
1179
+ },
1180
+ {
1181
+ "epoch": 0.4482018250134192,
1182
+ "grad_norm": 2.368712195841508,
1183
+ "learning_rate": 6.743328733581211e-06,
1184
+ "loss": 0.4989,
1185
+ "step": 835
1186
+ },
1187
+ {
1188
+ "epoch": 0.45088566827697263,
1189
+ "grad_norm": 2.3364375835277253,
1190
+ "learning_rate": 6.6993320357489396e-06,
1191
+ "loss": 0.488,
1192
+ "step": 840
1193
+ },
1194
+ {
1195
+ "epoch": 0.45356951154052605,
1196
+ "grad_norm": 2.435502626013091,
1197
+ "learning_rate": 6.6551860698900804e-06,
1198
+ "loss": 0.5068,
1199
+ "step": 845
1200
+ },
1201
+ {
1202
+ "epoch": 0.4562533548040794,
1203
+ "grad_norm": 2.2559678961633782,
1204
+ "learning_rate": 6.610894713752513e-06,
1205
+ "loss": 0.4978,
1206
+ "step": 850
1207
+ },
1208
+ {
1209
+ "epoch": 0.45893719806763283,
1210
+ "grad_norm": 2.421708585514288,
1211
+ "learning_rate": 6.566461857855096e-06,
1212
+ "loss": 0.4789,
1213
+ "step": 855
1214
+ },
1215
+ {
1216
+ "epoch": 0.46162104133118625,
1217
+ "grad_norm": 2.3248078025807932,
1218
+ "learning_rate": 6.52189140514591e-06,
1219
+ "loss": 0.4657,
1220
+ "step": 860
1221
+ },
1222
+ {
1223
+ "epoch": 0.4643048845947397,
1224
+ "grad_norm": 2.4768863706156368,
1225
+ "learning_rate": 6.477187270659444e-06,
1226
+ "loss": 0.4947,
1227
+ "step": 865
1228
+ },
1229
+ {
1230
+ "epoch": 0.4669887278582931,
1231
+ "grad_norm": 2.5478167678970807,
1232
+ "learning_rate": 6.432353381172686e-06,
1233
+ "loss": 0.4775,
1234
+ "step": 870
1235
+ },
1236
+ {
1237
+ "epoch": 0.46967257112184646,
1238
+ "grad_norm": 2.339327268365426,
1239
+ "learning_rate": 6.387393674860205e-06,
1240
+ "loss": 0.4756,
1241
+ "step": 875
1242
+ },
1243
+ {
1244
+ "epoch": 0.4723564143853999,
1245
+ "grad_norm": 2.314702002618683,
1246
+ "learning_rate": 6.3423121009482226e-06,
1247
+ "loss": 0.4919,
1248
+ "step": 880
1249
+ },
1250
+ {
1251
+ "epoch": 0.4750402576489533,
1252
+ "grad_norm": 2.682455259204783,
1253
+ "learning_rate": 6.297112619367721e-06,
1254
+ "loss": 0.4783,
1255
+ "step": 885
1256
+ },
1257
+ {
1258
+ "epoch": 0.4777241009125067,
1259
+ "grad_norm": 2.4283892366309754,
1260
+ "learning_rate": 6.2517992004066e-06,
1261
+ "loss": 0.4804,
1262
+ "step": 890
1263
+ },
1264
+ {
1265
+ "epoch": 0.48040794417606014,
1266
+ "grad_norm": 2.489416220843048,
1267
+ "learning_rate": 6.2063758243609275e-06,
1268
+ "loss": 0.487,
1269
+ "step": 895
1270
+ },
1271
+ {
1272
+ "epoch": 0.4830917874396135,
1273
+ "grad_norm": 2.36035943057164,
1274
+ "learning_rate": 6.160846481185326e-06,
1275
+ "loss": 0.4717,
1276
+ "step": 900
1277
+ },
1278
+ {
1279
+ "epoch": 0.4857756307031669,
1280
+ "grad_norm": 2.4213941404437236,
1281
+ "learning_rate": 6.115215170142481e-06,
1282
+ "loss": 0.4851,
1283
+ "step": 905
1284
+ },
1285
+ {
1286
+ "epoch": 0.48845947396672035,
1287
+ "grad_norm": 2.3678789802652513,
1288
+ "learning_rate": 6.069485899451863e-06,
1289
+ "loss": 0.4696,
1290
+ "step": 910
1291
+ },
1292
+ {
1293
+ "epoch": 0.49114331723027377,
1294
+ "grad_norm": 2.3661062299317503,
1295
+ "learning_rate": 6.023662685937643e-06,
1296
+ "loss": 0.4675,
1297
+ "step": 915
1298
+ },
1299
+ {
1300
+ "epoch": 0.49382716049382713,
1301
+ "grad_norm": 2.340045796281873,
1302
+ "learning_rate": 5.9777495546758556e-06,
1303
+ "loss": 0.4867,
1304
+ "step": 920
1305
+ },
1306
+ {
1307
+ "epoch": 0.49651100375738055,
1308
+ "grad_norm": 2.2921294482260124,
1309
+ "learning_rate": 5.9317505386408436e-06,
1310
+ "loss": 0.4647,
1311
+ "step": 925
1312
+ },
1313
+ {
1314
+ "epoch": 0.499194847020934,
1315
+ "grad_norm": 2.3355811470336163,
1316
+ "learning_rate": 5.885669678350997e-06,
1317
+ "loss": 0.4594,
1318
+ "step": 930
1319
+ },
1320
+ {
1321
+ "epoch": 0.5018786902844874,
1322
+ "grad_norm": 2.293840228318117,
1323
+ "learning_rate": 5.839511021513853e-06,
1324
+ "loss": 0.4726,
1325
+ "step": 935
1326
+ },
1327
+ {
1328
+ "epoch": 0.5045625335480408,
1329
+ "grad_norm": 2.3615251680146123,
1330
+ "learning_rate": 5.793278622670527e-06,
1331
+ "loss": 0.4676,
1332
+ "step": 940
1333
+ },
1334
+ {
1335
+ "epoch": 0.5072463768115942,
1336
+ "grad_norm": 2.456691057919154,
1337
+ "learning_rate": 5.746976542839583e-06,
1338
+ "loss": 0.4729,
1339
+ "step": 945
1340
+ },
1341
+ {
1342
+ "epoch": 0.5099302200751477,
1343
+ "grad_norm": 2.492675195450795,
1344
+ "learning_rate": 5.700608849160307e-06,
1345
+ "loss": 0.4643,
1346
+ "step": 950
1347
+ },
1348
+ {
1349
+ "epoch": 0.512614063338701,
1350
+ "grad_norm": 2.3999788691818322,
1351
+ "learning_rate": 5.654179614535457e-06,
1352
+ "loss": 0.4659,
1353
+ "step": 955
1354
+ },
1355
+ {
1356
+ "epoch": 0.5152979066022544,
1357
+ "grad_norm": 2.36631780419252,
1358
+ "learning_rate": 5.607692917273499e-06,
1359
+ "loss": 0.4711,
1360
+ "step": 960
1361
+ },
1362
+ {
1363
+ "epoch": 0.5179817498658078,
1364
+ "grad_norm": 2.290068846637445,
1365
+ "learning_rate": 5.561152840730371e-06,
1366
+ "loss": 0.4578,
1367
+ "step": 965
1368
+ },
1369
+ {
1370
+ "epoch": 0.5206655931293612,
1371
+ "grad_norm": 2.304824595871532,
1372
+ "learning_rate": 5.514563472950812e-06,
1373
+ "loss": 0.4619,
1374
+ "step": 970
1375
+ },
1376
+ {
1377
+ "epoch": 0.5233494363929146,
1378
+ "grad_norm": 2.4447006864880287,
1379
+ "learning_rate": 5.46792890630926e-06,
1380
+ "loss": 0.4565,
1381
+ "step": 975
1382
+ },
1383
+ {
1384
+ "epoch": 0.5260332796564681,
1385
+ "grad_norm": 2.3267145652534875,
1386
+ "learning_rate": 5.421253237150389e-06,
1387
+ "loss": 0.4558,
1388
+ "step": 980
1389
+ },
1390
+ {
1391
+ "epoch": 0.5287171229200215,
1392
+ "grad_norm": 2.575226222205548,
1393
+ "learning_rate": 5.374540565429288e-06,
1394
+ "loss": 0.4624,
1395
+ "step": 985
1396
+ },
1397
+ {
1398
+ "epoch": 0.5314009661835749,
1399
+ "grad_norm": 2.245840595082055,
1400
+ "learning_rate": 5.327794994351321e-06,
1401
+ "loss": 0.4647,
1402
+ "step": 990
1403
+ },
1404
+ {
1405
+ "epoch": 0.5340848094471283,
1406
+ "grad_norm": 2.300998826501448,
1407
+ "learning_rate": 5.281020630011703e-06,
1408
+ "loss": 0.4453,
1409
+ "step": 995
1410
+ },
1411
+ {
1412
+ "epoch": 0.5367686527106817,
1413
+ "grad_norm": 2.2487781596141097,
1414
+ "learning_rate": 5.234221581034834e-06,
1415
+ "loss": 0.4391,
1416
+ "step": 1000
1417
+ },
1418
+ {
1419
+ "epoch": 0.5394524959742351,
1420
+ "grad_norm": 2.2692512235143196,
1421
+ "learning_rate": 5.187401958213391e-06,
1422
+ "loss": 0.4399,
1423
+ "step": 1005
1424
+ },
1425
+ {
1426
+ "epoch": 0.5421363392377885,
1427
+ "grad_norm": 2.3096587933439876,
1428
+ "learning_rate": 5.140565874147236e-06,
1429
+ "loss": 0.4475,
1430
+ "step": 1010
1431
+ },
1432
+ {
1433
+ "epoch": 0.5448201825013419,
1434
+ "grad_norm": 2.2597937178702354,
1435
+ "learning_rate": 5.093717442882185e-06,
1436
+ "loss": 0.4494,
1437
+ "step": 1015
1438
+ },
1439
+ {
1440
+ "epoch": 0.5475040257648953,
1441
+ "grad_norm": 2.47473851041556,
1442
+ "learning_rate": 5.046860779548613e-06,
1443
+ "loss": 0.4433,
1444
+ "step": 1020
1445
+ },
1446
+ {
1447
+ "epoch": 0.5501878690284487,
1448
+ "grad_norm": 2.3270591862483947,
1449
+ "learning_rate": 5e-06,
1450
+ "loss": 0.4428,
1451
+ "step": 1025
1452
+ },
1453
+ {
1454
+ "epoch": 0.5528717122920022,
1455
+ "grad_norm": 2.3999930253371535,
1456
+ "learning_rate": 4.953139220451386e-06,
1457
+ "loss": 0.4516,
1458
+ "step": 1030
1459
+ },
1460
+ {
1461
+ "epoch": 0.5555555555555556,
1462
+ "grad_norm": 2.340485387833276,
1463
+ "learning_rate": 4.906282557117817e-06,
1464
+ "loss": 0.4339,
1465
+ "step": 1035
1466
+ },
1467
+ {
1468
+ "epoch": 0.558239398819109,
1469
+ "grad_norm": 2.304821557482998,
1470
+ "learning_rate": 4.859434125852764e-06,
1471
+ "loss": 0.435,
1472
+ "step": 1040
1473
+ },
1474
+ {
1475
+ "epoch": 0.5609232420826624,
1476
+ "grad_norm": 2.3444918925482248,
1477
+ "learning_rate": 4.812598041786611e-06,
1478
+ "loss": 0.4541,
1479
+ "step": 1045
1480
+ },
1481
+ {
1482
+ "epoch": 0.5636070853462157,
1483
+ "grad_norm": 2.4015665488748787,
1484
+ "learning_rate": 4.765778418965168e-06,
1485
+ "loss": 0.4468,
1486
+ "step": 1050
1487
+ },
1488
+ {
1489
+ "epoch": 0.5662909286097692,
1490
+ "grad_norm": 2.2055102443205574,
1491
+ "learning_rate": 4.718979369988299e-06,
1492
+ "loss": 0.4338,
1493
+ "step": 1055
1494
+ },
1495
+ {
1496
+ "epoch": 0.5689747718733226,
1497
+ "grad_norm": 2.27457679282764,
1498
+ "learning_rate": 4.672205005648681e-06,
1499
+ "loss": 0.4413,
1500
+ "step": 1060
1501
+ },
1502
+ {
1503
+ "epoch": 0.571658615136876,
1504
+ "grad_norm": 2.363170032180882,
1505
+ "learning_rate": 4.625459434570712e-06,
1506
+ "loss": 0.429,
1507
+ "step": 1065
1508
+ },
1509
+ {
1510
+ "epoch": 0.5743424584004294,
1511
+ "grad_norm": 2.4248656899472394,
1512
+ "learning_rate": 4.578746762849612e-06,
1513
+ "loss": 0.4439,
1514
+ "step": 1070
1515
+ },
1516
+ {
1517
+ "epoch": 0.5770263016639828,
1518
+ "grad_norm": 2.1653108819358904,
1519
+ "learning_rate": 4.532071093690741e-06,
1520
+ "loss": 0.4186,
1521
+ "step": 1075
1522
+ },
1523
+ {
1524
+ "epoch": 0.5797101449275363,
1525
+ "grad_norm": 2.3722508240459277,
1526
+ "learning_rate": 4.485436527049189e-06,
1527
+ "loss": 0.4398,
1528
+ "step": 1080
1529
+ },
1530
+ {
1531
+ "epoch": 0.5823939881910897,
1532
+ "grad_norm": 2.241281795727555,
1533
+ "learning_rate": 4.438847159269631e-06,
1534
+ "loss": 0.4361,
1535
+ "step": 1085
1536
+ },
1537
+ {
1538
+ "epoch": 0.5850778314546431,
1539
+ "grad_norm": 2.331466197551535,
1540
+ "learning_rate": 4.392307082726503e-06,
1541
+ "loss": 0.4349,
1542
+ "step": 1090
1543
+ },
1544
+ {
1545
+ "epoch": 0.5877616747181964,
1546
+ "grad_norm": 2.367503420958147,
1547
+ "learning_rate": 4.345820385464543e-06,
1548
+ "loss": 0.4395,
1549
+ "step": 1095
1550
+ },
1551
+ {
1552
+ "epoch": 0.5904455179817498,
1553
+ "grad_norm": 2.152302107871219,
1554
+ "learning_rate": 4.299391150839694e-06,
1555
+ "loss": 0.4241,
1556
+ "step": 1100
1557
+ },
1558
+ {
1559
+ "epoch": 0.5931293612453032,
1560
+ "grad_norm": 2.295482019593817,
1561
+ "learning_rate": 4.253023457160418e-06,
1562
+ "loss": 0.4324,
1563
+ "step": 1105
1564
+ },
1565
+ {
1566
+ "epoch": 0.5958132045088567,
1567
+ "grad_norm": 2.1877163583371178,
1568
+ "learning_rate": 4.2067213773294745e-06,
1569
+ "loss": 0.4092,
1570
+ "step": 1110
1571
+ },
1572
+ {
1573
+ "epoch": 0.5984970477724101,
1574
+ "grad_norm": 2.391292467503754,
1575
+ "learning_rate": 4.16048897848615e-06,
1576
+ "loss": 0.4268,
1577
+ "step": 1115
1578
+ },
1579
+ {
1580
+ "epoch": 0.6011808910359635,
1581
+ "grad_norm": 2.320260249063,
1582
+ "learning_rate": 4.114330321649004e-06,
1583
+ "loss": 0.4298,
1584
+ "step": 1120
1585
+ },
1586
+ {
1587
+ "epoch": 0.6038647342995169,
1588
+ "grad_norm": 2.3605082265783817,
1589
+ "learning_rate": 4.068249461359158e-06,
1590
+ "loss": 0.4152,
1591
+ "step": 1125
1592
+ },
1593
+ {
1594
+ "epoch": 0.6065485775630703,
1595
+ "grad_norm": 2.2129981944822132,
1596
+ "learning_rate": 4.022250445324145e-06,
1597
+ "loss": 0.4102,
1598
+ "step": 1130
1599
+ },
1600
+ {
1601
+ "epoch": 0.6092324208266238,
1602
+ "grad_norm": 2.240102819743465,
1603
+ "learning_rate": 3.976337314062358e-06,
1604
+ "loss": 0.4074,
1605
+ "step": 1135
1606
+ },
1607
+ {
1608
+ "epoch": 0.6119162640901772,
1609
+ "grad_norm": 2.404806532481161,
1610
+ "learning_rate": 3.9305141005481385e-06,
1611
+ "loss": 0.4149,
1612
+ "step": 1140
1613
+ },
1614
+ {
1615
+ "epoch": 0.6146001073537305,
1616
+ "grad_norm": 2.22962061461272,
1617
+ "learning_rate": 3.8847848298575205e-06,
1618
+ "loss": 0.4167,
1619
+ "step": 1145
1620
+ },
1621
+ {
1622
+ "epoch": 0.6172839506172839,
1623
+ "grad_norm": 2.4111798540378784,
1624
+ "learning_rate": 3.839153518814677e-06,
1625
+ "loss": 0.4055,
1626
+ "step": 1150
1627
+ },
1628
+ {
1629
+ "epoch": 0.6199677938808373,
1630
+ "grad_norm": 2.218324658879466,
1631
+ "learning_rate": 3.7936241756390746e-06,
1632
+ "loss": 0.3929,
1633
+ "step": 1155
1634
+ },
1635
+ {
1636
+ "epoch": 0.6226516371443908,
1637
+ "grad_norm": 2.1673253900912006,
1638
+ "learning_rate": 3.748200799593402e-06,
1639
+ "loss": 0.4122,
1640
+ "step": 1160
1641
+ },
1642
+ {
1643
+ "epoch": 0.6253354804079442,
1644
+ "grad_norm": 2.2854333924277603,
1645
+ "learning_rate": 3.7028873806322797e-06,
1646
+ "loss": 0.3985,
1647
+ "step": 1165
1648
+ },
1649
+ {
1650
+ "epoch": 0.6280193236714976,
1651
+ "grad_norm": 2.2946578702265414,
1652
+ "learning_rate": 3.6576878990517783e-06,
1653
+ "loss": 0.4023,
1654
+ "step": 1170
1655
+ },
1656
+ {
1657
+ "epoch": 0.630703166935051,
1658
+ "grad_norm": 2.342820467507063,
1659
+ "learning_rate": 3.6126063251397968e-06,
1660
+ "loss": 0.401,
1661
+ "step": 1175
1662
+ },
1663
+ {
1664
+ "epoch": 0.6333870101986044,
1665
+ "grad_norm": 2.2381136311788206,
1666
+ "learning_rate": 3.567646618827315e-06,
1667
+ "loss": 0.4063,
1668
+ "step": 1180
1669
+ },
1670
+ {
1671
+ "epoch": 0.6360708534621579,
1672
+ "grad_norm": 2.2172118668312977,
1673
+ "learning_rate": 3.522812729340557e-06,
1674
+ "loss": 0.4145,
1675
+ "step": 1185
1676
+ },
1677
+ {
1678
+ "epoch": 0.6387546967257112,
1679
+ "grad_norm": 2.2953306356598415,
1680
+ "learning_rate": 3.4781085948540907e-06,
1681
+ "loss": 0.4172,
1682
+ "step": 1190
1683
+ },
1684
+ {
1685
+ "epoch": 0.6414385399892646,
1686
+ "grad_norm": 2.1880739031851406,
1687
+ "learning_rate": 3.4335381421449056e-06,
1688
+ "loss": 0.4117,
1689
+ "step": 1195
1690
+ },
1691
+ {
1692
+ "epoch": 0.644122383252818,
1693
+ "grad_norm": 2.195458309784443,
1694
+ "learning_rate": 3.3891052862474884e-06,
1695
+ "loss": 0.4023,
1696
+ "step": 1200
1697
+ },
1698
+ {
1699
+ "epoch": 0.6468062265163714,
1700
+ "grad_norm": 2.321321983061109,
1701
+ "learning_rate": 3.3448139301099212e-06,
1702
+ "loss": 0.3889,
1703
+ "step": 1205
1704
+ },
1705
+ {
1706
+ "epoch": 0.6494900697799249,
1707
+ "grad_norm": 2.3400054868630535,
1708
+ "learning_rate": 3.3006679642510596e-06,
1709
+ "loss": 0.4011,
1710
+ "step": 1210
1711
+ },
1712
+ {
1713
+ "epoch": 0.6521739130434783,
1714
+ "grad_norm": 2.215041703092911,
1715
+ "learning_rate": 3.2566712664187907e-06,
1716
+ "loss": 0.3922,
1717
+ "step": 1215
1718
+ },
1719
+ {
1720
+ "epoch": 0.6548577563070317,
1721
+ "grad_norm": 2.2784248834066583,
1722
+ "learning_rate": 3.2128277012494046e-06,
1723
+ "loss": 0.4019,
1724
+ "step": 1220
1725
+ },
1726
+ {
1727
+ "epoch": 0.6575415995705851,
1728
+ "grad_norm": 2.2929065226510965,
1729
+ "learning_rate": 3.169141119928142e-06,
1730
+ "loss": 0.401,
1731
+ "step": 1225
1732
+ },
1733
+ {
1734
+ "epoch": 0.6602254428341385,
1735
+ "grad_norm": 2.3668328991014507,
1736
+ "learning_rate": 3.125615359850902e-06,
1737
+ "loss": 0.401,
1738
+ "step": 1230
1739
+ },
1740
+ {
1741
+ "epoch": 0.6629092860976918,
1742
+ "grad_norm": 2.3032852109673936,
1743
+ "learning_rate": 3.082254244287163e-06,
1744
+ "loss": 0.4129,
1745
+ "step": 1235
1746
+ },
1747
+ {
1748
+ "epoch": 0.6655931293612453,
1749
+ "grad_norm": 2.3745775747576974,
1750
+ "learning_rate": 3.0390615820441605e-06,
1751
+ "loss": 0.4033,
1752
+ "step": 1240
1753
+ },
1754
+ {
1755
+ "epoch": 0.6682769726247987,
1756
+ "grad_norm": 2.112187820926384,
1757
+ "learning_rate": 2.9960411671323215e-06,
1758
+ "loss": 0.3918,
1759
+ "step": 1245
1760
+ },
1761
+ {
1762
+ "epoch": 0.6709608158883521,
1763
+ "grad_norm": 2.352079569297887,
1764
+ "learning_rate": 2.9531967784319897e-06,
1765
+ "loss": 0.3913,
1766
+ "step": 1250
1767
+ },
1768
+ {
1769
+ "epoch": 0.6736446591519055,
1770
+ "grad_norm": 2.1636433013122134,
1771
+ "learning_rate": 2.9105321793615106e-06,
1772
+ "loss": 0.4021,
1773
+ "step": 1255
1774
+ },
1775
+ {
1776
+ "epoch": 0.6763285024154589,
1777
+ "grad_norm": 2.2820336209542664,
1778
+ "learning_rate": 2.8680511175466384e-06,
1779
+ "loss": 0.3969,
1780
+ "step": 1260
1781
+ },
1782
+ {
1783
+ "epoch": 0.6790123456790124,
1784
+ "grad_norm": 2.278498833748063,
1785
+ "learning_rate": 2.8257573244913637e-06,
1786
+ "loss": 0.3877,
1787
+ "step": 1265
1788
+ },
1789
+ {
1790
+ "epoch": 0.6816961889425658,
1791
+ "grad_norm": 2.0377851746058693,
1792
+ "learning_rate": 2.783654515250126e-06,
1793
+ "loss": 0.3878,
1794
+ "step": 1270
1795
+ },
1796
+ {
1797
+ "epoch": 0.6843800322061192,
1798
+ "grad_norm": 2.2235500451646097,
1799
+ "learning_rate": 2.741746388101493e-06,
1800
+ "loss": 0.388,
1801
+ "step": 1275
1802
+ },
1803
+ {
1804
+ "epoch": 0.6870638754696726,
1805
+ "grad_norm": 2.1172872875998876,
1806
+ "learning_rate": 2.700036624223308e-06,
1807
+ "loss": 0.3799,
1808
+ "step": 1280
1809
+ },
1810
+ {
1811
+ "epoch": 0.6897477187332259,
1812
+ "grad_norm": 2.1105908414565855,
1813
+ "learning_rate": 2.6585288873693355e-06,
1814
+ "loss": 0.3857,
1815
+ "step": 1285
1816
+ },
1817
+ {
1818
+ "epoch": 0.6924315619967794,
1819
+ "grad_norm": 2.1730901974375887,
1820
+ "learning_rate": 2.6172268235474396e-06,
1821
+ "loss": 0.3771,
1822
+ "step": 1290
1823
+ },
1824
+ {
1825
+ "epoch": 0.6951154052603328,
1826
+ "grad_norm": 2.276400786258313,
1827
+ "learning_rate": 2.576134060699328e-06,
1828
+ "loss": 0.3804,
1829
+ "step": 1295
1830
+ },
1831
+ {
1832
+ "epoch": 0.6977992485238862,
1833
+ "grad_norm": 2.2639567967043055,
1834
+ "learning_rate": 2.5352542083818636e-06,
1835
+ "loss": 0.3683,
1836
+ "step": 1300
1837
+ },
1838
+ {
1839
+ "epoch": 0.7004830917874396,
1840
+ "grad_norm": 2.071144906949053,
1841
+ "learning_rate": 2.494590857450016e-06,
1842
+ "loss": 0.3929,
1843
+ "step": 1305
1844
+ },
1845
+ {
1846
+ "epoch": 0.703166935050993,
1847
+ "grad_norm": 2.186986904258155,
1848
+ "learning_rate": 2.454147579741436e-06,
1849
+ "loss": 0.3662,
1850
+ "step": 1310
1851
+ },
1852
+ {
1853
+ "epoch": 0.7058507783145465,
1854
+ "grad_norm": 2.289270887127177,
1855
+ "learning_rate": 2.4139279277627113e-06,
1856
+ "loss": 0.391,
1857
+ "step": 1315
1858
+ },
1859
+ {
1860
+ "epoch": 0.7085346215780999,
1861
+ "grad_norm": 2.193754293209221,
1862
+ "learning_rate": 2.373935434377316e-06,
1863
+ "loss": 0.3849,
1864
+ "step": 1320
1865
+ },
1866
+ {
1867
+ "epoch": 0.7112184648416533,
1868
+ "grad_norm": 2.2605664332312263,
1869
+ "learning_rate": 2.3341736124952924e-06,
1870
+ "loss": 0.3819,
1871
+ "step": 1325
1872
+ },
1873
+ {
1874
+ "epoch": 0.7139023081052066,
1875
+ "grad_norm": 2.1311302604784355,
1876
+ "learning_rate": 2.294645954764666e-06,
1877
+ "loss": 0.3782,
1878
+ "step": 1330
1879
+ },
1880
+ {
1881
+ "epoch": 0.71658615136876,
1882
+ "grad_norm": 2.1479733454826286,
1883
+ "learning_rate": 2.2553559332646675e-06,
1884
+ "loss": 0.376,
1885
+ "step": 1335
1886
+ },
1887
+ {
1888
+ "epoch": 0.7192699946323134,
1889
+ "grad_norm": 2.4407220469260458,
1890
+ "learning_rate": 2.216306999200739e-06,
1891
+ "loss": 0.3804,
1892
+ "step": 1340
1893
+ },
1894
+ {
1895
+ "epoch": 0.7219538378958669,
1896
+ "grad_norm": 2.1533154950669346,
1897
+ "learning_rate": 2.1775025826013953e-06,
1898
+ "loss": 0.3699,
1899
+ "step": 1345
1900
+ },
1901
+ {
1902
+ "epoch": 0.7246376811594203,
1903
+ "grad_norm": 2.1200222517367875,
1904
+ "learning_rate": 2.1389460920169105e-06,
1905
+ "loss": 0.3758,
1906
+ "step": 1350
1907
+ },
1908
+ {
1909
+ "epoch": 0.7273215244229737,
1910
+ "grad_norm": 2.2280252426248546,
1911
+ "learning_rate": 2.100640914219939e-06,
1912
+ "loss": 0.3768,
1913
+ "step": 1355
1914
+ },
1915
+ {
1916
+ "epoch": 0.7300053676865271,
1917
+ "grad_norm": 2.22098019422805,
1918
+ "learning_rate": 2.062590413908007e-06,
1919
+ "loss": 0.3817,
1920
+ "step": 1360
1921
+ },
1922
+ {
1923
+ "epoch": 0.7326892109500805,
1924
+ "grad_norm": 2.061290288151344,
1925
+ "learning_rate": 2.0247979334079646e-06,
1926
+ "loss": 0.3772,
1927
+ "step": 1365
1928
+ },
1929
+ {
1930
+ "epoch": 0.735373054213634,
1931
+ "grad_norm": 2.1068703177045762,
1932
+ "learning_rate": 1.9872667923823996e-06,
1933
+ "loss": 0.3765,
1934
+ "step": 1370
1935
+ },
1936
+ {
1937
+ "epoch": 0.7380568974771873,
1938
+ "grad_norm": 2.1721989348036135,
1939
+ "learning_rate": 1.9500002875380458e-06,
1940
+ "loss": 0.3693,
1941
+ "step": 1375
1942
+ },
1943
+ {
1944
+ "epoch": 0.7407407407407407,
1945
+ "grad_norm": 2.3087123408873724,
1946
+ "learning_rate": 1.9130016923361843e-06,
1947
+ "loss": 0.3689,
1948
+ "step": 1380
1949
+ },
1950
+ {
1951
+ "epoch": 0.7434245840042941,
1952
+ "grad_norm": 2.249787298183903,
1953
+ "learning_rate": 1.8762742567051318e-06,
1954
+ "loss": 0.3697,
1955
+ "step": 1385
1956
+ },
1957
+ {
1958
+ "epoch": 0.7461084272678475,
1959
+ "grad_norm": 2.0844944176269906,
1960
+ "learning_rate": 1.8398212067547455e-06,
1961
+ "loss": 0.3745,
1962
+ "step": 1390
1963
+ },
1964
+ {
1965
+ "epoch": 0.748792270531401,
1966
+ "grad_norm": 2.1418534385504313,
1967
+ "learning_rate": 1.8036457444930643e-06,
1968
+ "loss": 0.3678,
1969
+ "step": 1395
1970
+ },
1971
+ {
1972
+ "epoch": 0.7514761137949544,
1973
+ "grad_norm": 2.2265258176825315,
1974
+ "learning_rate": 1.7677510475450244e-06,
1975
+ "loss": 0.3712,
1976
+ "step": 1400
1977
+ },
1978
+ {
1979
+ "epoch": 0.7541599570585078,
1980
+ "grad_norm": 2.114356169386046,
1981
+ "learning_rate": 1.7321402688733618e-06,
1982
+ "loss": 0.3722,
1983
+ "step": 1405
1984
+ },
1985
+ {
1986
+ "epoch": 0.7568438003220612,
1987
+ "grad_norm": 1.9059264440419736,
1988
+ "learning_rate": 1.6968165365016443e-06,
1989
+ "loss": 0.3534,
1990
+ "step": 1410
1991
+ },
1992
+ {
1993
+ "epoch": 0.7595276435856146,
1994
+ "grad_norm": 2.0817324970106945,
1995
+ "learning_rate": 1.661782953239512e-06,
1996
+ "loss": 0.3553,
1997
+ "step": 1415
1998
+ },
1999
+ {
2000
+ "epoch": 0.7622114868491681,
2001
+ "grad_norm": 2.1845112300920677,
2002
+ "learning_rate": 1.6270425964101272e-06,
2003
+ "loss": 0.3607,
2004
+ "step": 1420
2005
+ },
2006
+ {
2007
+ "epoch": 0.7648953301127214,
2008
+ "grad_norm": 2.2388347953996783,
2009
+ "learning_rate": 1.5925985175798741e-06,
2010
+ "loss": 0.3631,
2011
+ "step": 1425
2012
+ },
2013
+ {
2014
+ "epoch": 0.7675791733762748,
2015
+ "grad_norm": 2.065438224056232,
2016
+ "learning_rate": 1.5584537422902923e-06,
2017
+ "loss": 0.3579,
2018
+ "step": 1430
2019
+ },
2020
+ {
2021
+ "epoch": 0.7702630166398282,
2022
+ "grad_norm": 2.1879791180316066,
2023
+ "learning_rate": 1.5246112697923389e-06,
2024
+ "loss": 0.3623,
2025
+ "step": 1435
2026
+ },
2027
+ {
2028
+ "epoch": 0.7729468599033816,
2029
+ "grad_norm": 2.12952418145758,
2030
+ "learning_rate": 1.4910740727829176e-06,
2031
+ "loss": 0.3636,
2032
+ "step": 1440
2033
+ },
2034
+ {
2035
+ "epoch": 0.775630703166935,
2036
+ "grad_norm": 2.105796962684848,
2037
+ "learning_rate": 1.457845097143769e-06,
2038
+ "loss": 0.3626,
2039
+ "step": 1445
2040
+ },
2041
+ {
2042
+ "epoch": 0.7783145464304885,
2043
+ "grad_norm": 2.329028744703023,
2044
+ "learning_rate": 1.424927261682703e-06,
2045
+ "loss": 0.3696,
2046
+ "step": 1450
2047
+ },
2048
+ {
2049
+ "epoch": 0.7809983896940419,
2050
+ "grad_norm": 2.047922464417174,
2051
+ "learning_rate": 1.3923234578772177e-06,
2052
+ "loss": 0.3566,
2053
+ "step": 1455
2054
+ },
2055
+ {
2056
+ "epoch": 0.7836822329575953,
2057
+ "grad_norm": 2.1754842917957835,
2058
+ "learning_rate": 1.3600365496205059e-06,
2059
+ "loss": 0.3735,
2060
+ "step": 1460
2061
+ },
2062
+ {
2063
+ "epoch": 0.7863660762211487,
2064
+ "grad_norm": 2.118594900638682,
2065
+ "learning_rate": 1.3280693729699018e-06,
2066
+ "loss": 0.3618,
2067
+ "step": 1465
2068
+ },
2069
+ {
2070
+ "epoch": 0.789049919484702,
2071
+ "grad_norm": 2.110801980026671,
2072
+ "learning_rate": 1.2964247358977567e-06,
2073
+ "loss": 0.35,
2074
+ "step": 1470
2075
+ },
2076
+ {
2077
+ "epoch": 0.7917337627482555,
2078
+ "grad_norm": 2.0768554801305057,
2079
+ "learning_rate": 1.265105418044793e-06,
2080
+ "loss": 0.3564,
2081
+ "step": 1475
2082
+ },
2083
+ {
2084
+ "epoch": 0.7944176060118089,
2085
+ "grad_norm": 2.1130567000820912,
2086
+ "learning_rate": 1.2341141704759418e-06,
2087
+ "loss": 0.3506,
2088
+ "step": 1480
2089
+ },
2090
+ {
2091
+ "epoch": 0.7971014492753623,
2092
+ "grad_norm": 2.1954723852832556,
2093
+ "learning_rate": 1.2034537154386933e-06,
2094
+ "loss": 0.3615,
2095
+ "step": 1485
2096
+ },
2097
+ {
2098
+ "epoch": 0.7997852925389157,
2099
+ "grad_norm": 2.2313097999235163,
2100
+ "learning_rate": 1.173126746123972e-06,
2101
+ "loss": 0.3477,
2102
+ "step": 1490
2103
+ },
2104
+ {
2105
+ "epoch": 0.8024691358024691,
2106
+ "grad_norm": 2.113285488388264,
2107
+ "learning_rate": 1.1431359264295717e-06,
2108
+ "loss": 0.3444,
2109
+ "step": 1495
2110
+ },
2111
+ {
2112
+ "epoch": 0.8051529790660226,
2113
+ "grad_norm": 2.0060189321333453,
2114
+ "learning_rate": 1.113483890726162e-06,
2115
+ "loss": 0.3437,
2116
+ "step": 1500
2117
+ },
2118
+ {
2119
+ "epoch": 0.807836822329576,
2120
+ "grad_norm": 2.105485503159171,
2121
+ "learning_rate": 1.084173243625884e-06,
2122
+ "loss": 0.3423,
2123
+ "step": 1505
2124
+ },
2125
+ {
2126
+ "epoch": 0.8105206655931294,
2127
+ "grad_norm": 2.176309187809922,
2128
+ "learning_rate": 1.0552065597535671e-06,
2129
+ "loss": 0.3494,
2130
+ "step": 1510
2131
+ },
2132
+ {
2133
+ "epoch": 0.8132045088566827,
2134
+ "grad_norm": 2.0086208292784273,
2135
+ "learning_rate": 1.0265863835205709e-06,
2136
+ "loss": 0.3444,
2137
+ "step": 1515
2138
+ },
2139
+ {
2140
+ "epoch": 0.8158883521202361,
2141
+ "grad_norm": 1.9950951432676176,
2142
+ "learning_rate": 9.983152289012926e-07,
2143
+ "loss": 0.3446,
2144
+ "step": 1520
2145
+ },
2146
+ {
2147
+ "epoch": 0.8185721953837896,
2148
+ "grad_norm": 2.08600856841006,
2149
+ "learning_rate": 9.70395579212336e-07,
2150
+ "loss": 0.3612,
2151
+ "step": 1525
2152
+ },
2153
+ {
2154
+ "epoch": 0.821256038647343,
2155
+ "grad_norm": 2.143735872309822,
2156
+ "learning_rate": 9.428298868943791e-07,
2157
+ "loss": 0.3715,
2158
+ "step": 1530
2159
+ },
2160
+ {
2161
+ "epoch": 0.8239398819108964,
2162
+ "grad_norm": 2.10934496917038,
2163
+ "learning_rate": 9.15620573296756e-07,
2164
+ "loss": 0.3534,
2165
+ "step": 1535
2166
+ },
2167
+ {
2168
+ "epoch": 0.8266237251744498,
2169
+ "grad_norm": 2.2376308831295817,
2170
+ "learning_rate": 8.887700284647699e-07,
2171
+ "loss": 0.3394,
2172
+ "step": 1540
2173
+ },
2174
+ {
2175
+ "epoch": 0.8293075684380032,
2176
+ "grad_norm": 2.0832551370930723,
2177
+ "learning_rate": 8.622806109297432e-07,
2178
+ "loss": 0.3401,
2179
+ "step": 1545
2180
+ },
2181
+ {
2182
+ "epoch": 0.8319914117015567,
2183
+ "grad_norm": 1.9116815001043985,
2184
+ "learning_rate": 8.361546475018589e-07,
2185
+ "loss": 0.3459,
2186
+ "step": 1550
2187
+ },
2188
+ {
2189
+ "epoch": 0.8346752549651101,
2190
+ "grad_norm": 2.149460928922857,
2191
+ "learning_rate": 8.103944330657665e-07,
2192
+ "loss": 0.3488,
2193
+ "step": 1555
2194
+ },
2195
+ {
2196
+ "epoch": 0.8373590982286635,
2197
+ "grad_norm": 2.2602227225097766,
2198
+ "learning_rate": 7.850022303790033e-07,
2199
+ "loss": 0.3498,
2200
+ "step": 1560
2201
+ },
2202
+ {
2203
+ "epoch": 0.8400429414922168,
2204
+ "grad_norm": 2.2072319126824174,
2205
+ "learning_rate": 7.599802698732356e-07,
2206
+ "loss": 0.3458,
2207
+ "step": 1565
2208
+ },
2209
+ {
2210
+ "epoch": 0.8427267847557702,
2211
+ "grad_norm": 1.9190250537971258,
2212
+ "learning_rate": 7.353307494583445e-07,
2213
+ "loss": 0.3496,
2214
+ "step": 1570
2215
+ },
2216
+ {
2217
+ "epoch": 0.8454106280193237,
2218
+ "grad_norm": 1.9837453146123658,
2219
+ "learning_rate": 7.1105583432935e-07,
2220
+ "loss": 0.3494,
2221
+ "step": 1575
2222
+ },
2223
+ {
2224
+ "epoch": 0.8480944712828771,
2225
+ "grad_norm": 2.076563793537066,
2226
+ "learning_rate": 6.871576567762373e-07,
2227
+ "loss": 0.3549,
2228
+ "step": 1580
2229
+ },
2230
+ {
2231
+ "epoch": 0.8507783145464305,
2232
+ "grad_norm": 2.114401199157526,
2233
+ "learning_rate": 6.63638315996647e-07,
2234
+ "loss": 0.3457,
2235
+ "step": 1585
2236
+ },
2237
+ {
2238
+ "epoch": 0.8534621578099839,
2239
+ "grad_norm": 2.234829127148538,
2240
+ "learning_rate": 6.404998779114912e-07,
2241
+ "loss": 0.3482,
2242
+ "step": 1590
2243
+ },
2244
+ {
2245
+ "epoch": 0.8561460010735373,
2246
+ "grad_norm": 2.0954925363629715,
2247
+ "learning_rate": 6.177443749834743e-07,
2248
+ "loss": 0.3467,
2249
+ "step": 1595
2250
+ },
2251
+ {
2252
+ "epoch": 0.8588298443370908,
2253
+ "grad_norm": 1.9325306345136635,
2254
+ "learning_rate": 5.953738060385761e-07,
2255
+ "loss": 0.3474,
2256
+ "step": 1600
2257
+ },
2258
+ {
2259
+ "epoch": 0.8615136876006442,
2260
+ "grad_norm": 1.9905602992978715,
2261
+ "learning_rate": 5.733901360904648e-07,
2262
+ "loss": 0.344,
2263
+ "step": 1605
2264
+ },
2265
+ {
2266
+ "epoch": 0.8641975308641975,
2267
+ "grad_norm": 2.089193748595787,
2268
+ "learning_rate": 5.517952961678997e-07,
2269
+ "loss": 0.3494,
2270
+ "step": 1610
2271
+ },
2272
+ {
2273
+ "epoch": 0.8668813741277509,
2274
+ "grad_norm": 2.148799764591342,
2275
+ "learning_rate": 5.305911831451044e-07,
2276
+ "loss": 0.3486,
2277
+ "step": 1615
2278
+ },
2279
+ {
2280
+ "epoch": 0.8695652173913043,
2281
+ "grad_norm": 2.201627113759263,
2282
+ "learning_rate": 5.097796595751564e-07,
2283
+ "loss": 0.3426,
2284
+ "step": 1620
2285
+ },
2286
+ {
2287
+ "epoch": 0.8722490606548577,
2288
+ "grad_norm": 2.0275804440717007,
2289
+ "learning_rate": 4.89362553526368e-07,
2290
+ "loss": 0.3489,
2291
+ "step": 1625
2292
+ },
2293
+ {
2294
+ "epoch": 0.8749329039184112,
2295
+ "grad_norm": 2.1099431612889,
2296
+ "learning_rate": 4.6934165842172476e-07,
2297
+ "loss": 0.3381,
2298
+ "step": 1630
2299
+ },
2300
+ {
2301
+ "epoch": 0.8776167471819646,
2302
+ "grad_norm": 2.066634311475606,
2303
+ "learning_rate": 4.4971873288134237e-07,
2304
+ "loss": 0.3434,
2305
+ "step": 1635
2306
+ },
2307
+ {
2308
+ "epoch": 0.880300590445518,
2309
+ "grad_norm": 2.1806395775911596,
2310
+ "learning_rate": 4.304955005679962e-07,
2311
+ "loss": 0.3471,
2312
+ "step": 1640
2313
+ },
2314
+ {
2315
+ "epoch": 0.8829844337090714,
2316
+ "grad_norm": 2.0157764736789265,
2317
+ "learning_rate": 4.1167365003571047e-07,
2318
+ "loss": 0.3413,
2319
+ "step": 1645
2320
+ },
2321
+ {
2322
+ "epoch": 0.8856682769726248,
2323
+ "grad_norm": 2.0664947846264274,
2324
+ "learning_rate": 3.9325483458144684e-07,
2325
+ "loss": 0.347,
2326
+ "step": 1650
2327
+ },
2328
+ {
2329
+ "epoch": 0.8883521202361782,
2330
+ "grad_norm": 2.1108092781662484,
2331
+ "learning_rate": 3.752406720998691e-07,
2332
+ "loss": 0.3485,
2333
+ "step": 1655
2334
+ },
2335
+ {
2336
+ "epoch": 0.8910359634997316,
2337
+ "grad_norm": 1.891928460435428,
2338
+ "learning_rate": 3.5763274494123424e-07,
2339
+ "loss": 0.3419,
2340
+ "step": 1660
2341
+ },
2342
+ {
2343
+ "epoch": 0.893719806763285,
2344
+ "grad_norm": 2.081642191037629,
2345
+ "learning_rate": 3.404325997723995e-07,
2346
+ "loss": 0.3449,
2347
+ "step": 1665
2348
+ },
2349
+ {
2350
+ "epoch": 0.8964036500268384,
2351
+ "grad_norm": 2.1889482427836997,
2352
+ "learning_rate": 3.2364174744096587e-07,
2353
+ "loss": 0.3389,
2354
+ "step": 1670
2355
+ },
2356
+ {
2357
+ "epoch": 0.8990874932903918,
2358
+ "grad_norm": 2.0522364841531844,
2359
+ "learning_rate": 3.072616628425601e-07,
2360
+ "loss": 0.3464,
2361
+ "step": 1675
2362
+ },
2363
+ {
2364
+ "epoch": 0.9017713365539453,
2365
+ "grad_norm": 2.061106887915519,
2366
+ "learning_rate": 2.9129378479129e-07,
2367
+ "loss": 0.3341,
2368
+ "step": 1680
2369
+ },
2370
+ {
2371
+ "epoch": 0.9044551798174987,
2372
+ "grad_norm": 2.2381484074888305,
2373
+ "learning_rate": 2.7573951589335177e-07,
2374
+ "loss": 0.3428,
2375
+ "step": 1685
2376
+ },
2377
+ {
2378
+ "epoch": 0.9071390230810521,
2379
+ "grad_norm": 2.218510869316477,
2380
+ "learning_rate": 2.60600222423833e-07,
2381
+ "loss": 0.3436,
2382
+ "step": 1690
2383
+ },
2384
+ {
2385
+ "epoch": 0.9098228663446055,
2386
+ "grad_norm": 1.9815557147120695,
2387
+ "learning_rate": 2.45877234206694e-07,
2388
+ "loss": 0.3319,
2389
+ "step": 1695
2390
+ },
2391
+ {
2392
+ "epoch": 0.9125067096081588,
2393
+ "grad_norm": 2.1772783247451044,
2394
+ "learning_rate": 2.3157184449796365e-07,
2395
+ "loss": 0.3416,
2396
+ "step": 1700
2397
+ },
2398
+ {
2399
+ "epoch": 0.9151905528717122,
2400
+ "grad_norm": 1.981991641534087,
2401
+ "learning_rate": 2.1768530987213267e-07,
2402
+ "loss": 0.3388,
2403
+ "step": 1705
2404
+ },
2405
+ {
2406
+ "epoch": 0.9178743961352657,
2407
+ "grad_norm": 1.9438279915733367,
2408
+ "learning_rate": 2.0421885011178532e-07,
2409
+ "loss": 0.3347,
2410
+ "step": 1710
2411
+ },
2412
+ {
2413
+ "epoch": 0.9205582393988191,
2414
+ "grad_norm": 2.1255065876738,
2415
+ "learning_rate": 1.911736481004489e-07,
2416
+ "loss": 0.3394,
2417
+ "step": 1715
2418
+ },
2419
+ {
2420
+ "epoch": 0.9232420826623725,
2421
+ "grad_norm": 2.119417709846858,
2422
+ "learning_rate": 1.7855084971869385e-07,
2423
+ "loss": 0.3424,
2424
+ "step": 1720
2425
+ },
2426
+ {
2427
+ "epoch": 0.9259259259259259,
2428
+ "grad_norm": 1.9161088716481145,
2429
+ "learning_rate": 1.663515637434765e-07,
2430
+ "loss": 0.3437,
2431
+ "step": 1725
2432
+ },
2433
+ {
2434
+ "epoch": 0.9286097691894794,
2435
+ "grad_norm": 2.090108009100012,
2436
+ "learning_rate": 1.5457686175074816e-07,
2437
+ "loss": 0.3353,
2438
+ "step": 1730
2439
+ },
2440
+ {
2441
+ "epoch": 0.9312936124530328,
2442
+ "grad_norm": 2.1647653121366615,
2443
+ "learning_rate": 1.432277780213298e-07,
2444
+ "loss": 0.3363,
2445
+ "step": 1735
2446
+ },
2447
+ {
2448
+ "epoch": 0.9339774557165862,
2449
+ "grad_norm": 1.896589465841101,
2450
+ "learning_rate": 1.3230530945005704e-07,
2451
+ "loss": 0.3323,
2452
+ "step": 1740
2453
+ },
2454
+ {
2455
+ "epoch": 0.9366612989801396,
2456
+ "grad_norm": 2.024982025615293,
2457
+ "learning_rate": 1.2181041545821727e-07,
2458
+ "loss": 0.345,
2459
+ "step": 1745
2460
+ },
2461
+ {
2462
+ "epoch": 0.9393451422436929,
2463
+ "grad_norm": 1.9554765281477002,
2464
+ "learning_rate": 1.1174401790927325e-07,
2465
+ "loss": 0.3374,
2466
+ "step": 1750
2467
+ },
2468
+ {
2469
+ "epoch": 0.9420289855072463,
2470
+ "grad_norm": 2.134402406852014,
2471
+ "learning_rate": 1.0210700102788796e-07,
2472
+ "loss": 0.3437,
2473
+ "step": 1755
2474
+ },
2475
+ {
2476
+ "epoch": 0.9447128287707998,
2477
+ "grad_norm": 1.9646942700384806,
2478
+ "learning_rate": 9.290021132225546e-08,
2479
+ "loss": 0.3378,
2480
+ "step": 1760
2481
+ },
2482
+ {
2483
+ "epoch": 0.9473966720343532,
2484
+ "grad_norm": 1.9964844201588634,
2485
+ "learning_rate": 8.412445750974385e-08,
2486
+ "loss": 0.3301,
2487
+ "step": 1765
2488
+ },
2489
+ {
2490
+ "epoch": 0.9500805152979066,
2491
+ "grad_norm": 2.064203950697388,
2492
+ "learning_rate": 7.578051044585644e-08,
2493
+ "loss": 0.3568,
2494
+ "step": 1770
2495
+ },
2496
+ {
2497
+ "epoch": 0.95276435856146,
2498
+ "grad_norm": 1.9613680272123186,
2499
+ "learning_rate": 6.786910305652373e-08,
2500
+ "loss": 0.3343,
2501
+ "step": 1775
2502
+ },
2503
+ {
2504
+ "epoch": 0.9554482018250134,
2505
+ "grad_norm": 2.1016694828101232,
2506
+ "learning_rate": 6.0390930273721e-08,
2507
+ "loss": 0.3503,
2508
+ "step": 1780
2509
+ },
2510
+ {
2511
+ "epoch": 0.9581320450885669,
2512
+ "grad_norm": 2.1012546083202785,
2513
+ "learning_rate": 5.334664897442721e-08,
2514
+ "loss": 0.3361,
2515
+ "step": 1785
2516
+ },
2517
+ {
2518
+ "epoch": 0.9608158883521203,
2519
+ "grad_norm": 1.9602399940420405,
2520
+ "learning_rate": 4.673687792292436e-08,
2521
+ "loss": 0.3353,
2522
+ "step": 1790
2523
+ },
2524
+ {
2525
+ "epoch": 0.9634997316156736,
2526
+ "grad_norm": 1.9055816709169238,
2527
+ "learning_rate": 4.0562197716448316e-08,
2528
+ "loss": 0.3398,
2529
+ "step": 1795
2530
+ },
2531
+ {
2532
+ "epoch": 0.966183574879227,
2533
+ "grad_norm": 1.9729031450192134,
2534
+ "learning_rate": 3.4823150734186184e-08,
2535
+ "loss": 0.3398,
2536
+ "step": 1800
2537
+ },
2538
+ {
2539
+ "epoch": 0.9688674181427804,
2540
+ "grad_norm": 2.0388674602910126,
2541
+ "learning_rate": 2.9520241089636692e-08,
2542
+ "loss": 0.3402,
2543
+ "step": 1805
2544
+ },
2545
+ {
2546
+ "epoch": 0.9715512614063339,
2547
+ "grad_norm": 2.0386145711059824,
2548
+ "learning_rate": 2.4653934586328365e-08,
2549
+ "loss": 0.3321,
2550
+ "step": 1810
2551
+ },
2552
+ {
2553
+ "epoch": 0.9742351046698873,
2554
+ "grad_norm": 1.9910102377492196,
2555
+ "learning_rate": 2.022465867690282e-08,
2556
+ "loss": 0.3321,
2557
+ "step": 1815
2558
+ },
2559
+ {
2560
+ "epoch": 0.9769189479334407,
2561
+ "grad_norm": 1.910144000929515,
2562
+ "learning_rate": 1.6232802425568683e-08,
2563
+ "loss": 0.3398,
2564
+ "step": 1820
2565
+ },
2566
+ {
2567
+ "epoch": 0.9796027911969941,
2568
+ "grad_norm": 1.8586744864697868,
2569
+ "learning_rate": 1.2678716473927821e-08,
2570
+ "loss": 0.3244,
2571
+ "step": 1825
2572
+ },
2573
+ {
2574
+ "epoch": 0.9822866344605475,
2575
+ "grad_norm": 2.0221632303430446,
2576
+ "learning_rate": 9.562713010171088e-09,
2577
+ "loss": 0.342,
2578
+ "step": 1830
2579
+ },
2580
+ {
2581
+ "epoch": 0.984970477724101,
2582
+ "grad_norm": 2.2840920931201354,
2583
+ "learning_rate": 6.885065741661367e-09,
2584
+ "loss": 0.3386,
2585
+ "step": 1835
2586
+ },
2587
+ {
2588
+ "epoch": 0.9876543209876543,
2589
+ "grad_norm": 2.038298019498587,
2590
+ "learning_rate": 4.646009870885593e-09,
2591
+ "loss": 0.3417,
2592
+ "step": 1840
2593
+ },
2594
+ {
2595
+ "epoch": 0.9903381642512077,
2596
+ "grad_norm": 2.0920848641927288,
2597
+ "learning_rate": 2.845742074801261e-09,
2598
+ "loss": 0.334,
2599
+ "step": 1845
2600
+ },
2601
+ {
2602
+ "epoch": 0.9930220075147611,
2603
+ "grad_norm": 1.8993207355789097,
2604
+ "learning_rate": 1.484420487553595e-09,
2605
+ "loss": 0.3332,
2606
+ "step": 1850
2607
+ },
2608
+ {
2609
+ "epoch": 0.9957058507783145,
2610
+ "grad_norm": 2.041055414162317,
2611
+ "learning_rate": 5.621646865899832e-10,
2612
+ "loss": 0.337,
2613
+ "step": 1855
2614
+ },
2615
+ {
2616
+ "epoch": 0.998389694041868,
2617
+ "grad_norm": 2.005150478538608,
2618
+ "learning_rate": 7.905568215504921e-11,
2619
+ "loss": 0.3552,
2620
+ "step": 1860
2621
+ },
2622
+ {
2623
+ "epoch": 1.0,
2624
+ "eval_runtime": 3.3614,
2625
+ "eval_samples_per_second": 2.975,
2626
+ "eval_steps_per_second": 0.892,
2627
+ "step": 1863
2628
+ },
2629
+ {
2630
+ "epoch": 1.0,
2631
+ "step": 1863,
2632
+ "total_flos": 195037149265920.0,
2633
+ "train_loss": 0.502085976490588,
2634
+ "train_runtime": 16545.7004,
2635
+ "train_samples_per_second": 1.801,
2636
+ "train_steps_per_second": 0.113
2637
+ }
2638
+ ],
2639
+ "logging_steps": 5,
2640
+ "max_steps": 1863,
2641
+ "num_input_tokens_seen": 0,
2642
+ "num_train_epochs": 1,
2643
+ "save_steps": 100,
2644
+ "stateful_callbacks": {
2645
+ "TrainerControl": {
2646
+ "args": {
2647
+ "should_epoch_stop": false,
2648
+ "should_evaluate": false,
2649
+ "should_log": false,
2650
+ "should_save": true,
2651
+ "should_training_stop": true
2652
+ },
2653
+ "attributes": {}
2654
+ }
2655
+ },
2656
+ "total_flos": 195037149265920.0,
2657
+ "train_batch_size": 4,
2658
+ "trial_name": null,
2659
+ "trial_params": null
2660
+ }