terry69 commited on
Commit
040e261
1 Parent(s): 0926a95

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_raredirtybatch16_rubric
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_raredirtybatch16_rubric
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 4.45.1
58
+ - Pytorch 2.4.1+cu121
59
+ - Datasets 3.0.1
60
+ - Tokenizers 0.20.0
all_results.json ADDED
@@ -0,0 +1,9 @@
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "epoch": 1.0,
3
+ "total_flos": 212729730170880.0,
4
+ "train_loss": 0.4844009231218672,
5
+ "train_runtime": 18284.3129,
6
+ "train_samples": 107952,
7
+ "train_samples_per_second": 1.778,
8
+ "train_steps_per_second": 0.111
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": "4.45.1"
6
+ }
runs/Oct01_08-05-05_COE-CS-sv003/events.out.tfevents.1727769928.COE-CS-sv003.1418179.0 CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:01dd576ded75351dd863ce8a484b728b099c82d47551a9eeb0f858f1e7317645
3
- size 91817
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:3ad82788c304c8264189bcb78294e805a3ed04606e29c32797fb97618c838748
3
+ size 92171
train_results.json ADDED
@@ -0,0 +1,9 @@
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "epoch": 1.0,
3
+ "total_flos": 212729730170880.0,
4
+ "train_loss": 0.4844009231218672,
5
+ "train_runtime": 18284.3129,
6
+ "train_samples": 107952,
7
+ "train_samples_per_second": 1.778,
8
+ "train_steps_per_second": 0.111
9
+ }
trainer_state.json ADDED
@@ -0,0 +1,2898 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_metric": null,
3
+ "best_model_checkpoint": null,
4
+ "epoch": 1.0,
5
+ "eval_steps": 500,
6
+ "global_step": 2032,
7
+ "is_hyper_param_search": false,
8
+ "is_local_process_zero": true,
9
+ "is_world_process_zero": true,
10
+ "log_history": [
11
+ {
12
+ "epoch": 0.0004921259842519685,
13
+ "grad_norm": 23.289178620841536,
14
+ "learning_rate": 4.901960784313726e-08,
15
+ "loss": 1.3042,
16
+ "step": 1
17
+ },
18
+ {
19
+ "epoch": 0.0024606299212598425,
20
+ "grad_norm": 22.578339014503392,
21
+ "learning_rate": 2.4509803921568627e-07,
22
+ "loss": 1.3271,
23
+ "step": 5
24
+ },
25
+ {
26
+ "epoch": 0.004921259842519685,
27
+ "grad_norm": 15.254145113240074,
28
+ "learning_rate": 4.901960784313725e-07,
29
+ "loss": 1.2787,
30
+ "step": 10
31
+ },
32
+ {
33
+ "epoch": 0.0073818897637795275,
34
+ "grad_norm": 11.623341812407018,
35
+ "learning_rate": 7.352941176470589e-07,
36
+ "loss": 1.1561,
37
+ "step": 15
38
+ },
39
+ {
40
+ "epoch": 0.00984251968503937,
41
+ "grad_norm": 9.64376871387551,
42
+ "learning_rate": 9.80392156862745e-07,
43
+ "loss": 1.034,
44
+ "step": 20
45
+ },
46
+ {
47
+ "epoch": 0.012303149606299213,
48
+ "grad_norm": 3.4638336177505513,
49
+ "learning_rate": 1.2254901960784314e-06,
50
+ "loss": 0.9177,
51
+ "step": 25
52
+ },
53
+ {
54
+ "epoch": 0.014763779527559055,
55
+ "grad_norm": 3.5862986630527347,
56
+ "learning_rate": 1.4705882352941177e-06,
57
+ "loss": 0.8909,
58
+ "step": 30
59
+ },
60
+ {
61
+ "epoch": 0.0172244094488189,
62
+ "grad_norm": 2.9675977602993884,
63
+ "learning_rate": 1.715686274509804e-06,
64
+ "loss": 0.8673,
65
+ "step": 35
66
+ },
67
+ {
68
+ "epoch": 0.01968503937007874,
69
+ "grad_norm": 3.0016020610328322,
70
+ "learning_rate": 1.96078431372549e-06,
71
+ "loss": 0.8523,
72
+ "step": 40
73
+ },
74
+ {
75
+ "epoch": 0.02214566929133858,
76
+ "grad_norm": 3.044795051743997,
77
+ "learning_rate": 2.2058823529411767e-06,
78
+ "loss": 0.836,
79
+ "step": 45
80
+ },
81
+ {
82
+ "epoch": 0.024606299212598427,
83
+ "grad_norm": 2.9272556512306047,
84
+ "learning_rate": 2.450980392156863e-06,
85
+ "loss": 0.8255,
86
+ "step": 50
87
+ },
88
+ {
89
+ "epoch": 0.027066929133858268,
90
+ "grad_norm": 2.9326611094737216,
91
+ "learning_rate": 2.696078431372549e-06,
92
+ "loss": 0.8163,
93
+ "step": 55
94
+ },
95
+ {
96
+ "epoch": 0.02952755905511811,
97
+ "grad_norm": 3.1751190158414553,
98
+ "learning_rate": 2.9411764705882355e-06,
99
+ "loss": 0.8098,
100
+ "step": 60
101
+ },
102
+ {
103
+ "epoch": 0.03198818897637795,
104
+ "grad_norm": 3.267001091193129,
105
+ "learning_rate": 3.1862745098039216e-06,
106
+ "loss": 0.7963,
107
+ "step": 65
108
+ },
109
+ {
110
+ "epoch": 0.0344488188976378,
111
+ "grad_norm": 3.2037792452122074,
112
+ "learning_rate": 3.431372549019608e-06,
113
+ "loss": 0.7904,
114
+ "step": 70
115
+ },
116
+ {
117
+ "epoch": 0.036909448818897635,
118
+ "grad_norm": 3.1335298386999817,
119
+ "learning_rate": 3.6764705882352946e-06,
120
+ "loss": 0.7767,
121
+ "step": 75
122
+ },
123
+ {
124
+ "epoch": 0.03937007874015748,
125
+ "grad_norm": 3.0748371474571066,
126
+ "learning_rate": 3.92156862745098e-06,
127
+ "loss": 0.7566,
128
+ "step": 80
129
+ },
130
+ {
131
+ "epoch": 0.041830708661417325,
132
+ "grad_norm": 3.168808058148803,
133
+ "learning_rate": 4.166666666666667e-06,
134
+ "loss": 0.7642,
135
+ "step": 85
136
+ },
137
+ {
138
+ "epoch": 0.04429133858267716,
139
+ "grad_norm": 3.099061017093863,
140
+ "learning_rate": 4.411764705882353e-06,
141
+ "loss": 0.7567,
142
+ "step": 90
143
+ },
144
+ {
145
+ "epoch": 0.04675196850393701,
146
+ "grad_norm": 3.1397025998475545,
147
+ "learning_rate": 4.65686274509804e-06,
148
+ "loss": 0.7489,
149
+ "step": 95
150
+ },
151
+ {
152
+ "epoch": 0.04921259842519685,
153
+ "grad_norm": 3.267009036532827,
154
+ "learning_rate": 4.901960784313726e-06,
155
+ "loss": 0.7428,
156
+ "step": 100
157
+ },
158
+ {
159
+ "epoch": 0.05167322834645669,
160
+ "grad_norm": 3.0814329808676137,
161
+ "learning_rate": 5.147058823529411e-06,
162
+ "loss": 0.739,
163
+ "step": 105
164
+ },
165
+ {
166
+ "epoch": 0.054133858267716536,
167
+ "grad_norm": 2.922079677455855,
168
+ "learning_rate": 5.392156862745098e-06,
169
+ "loss": 0.7285,
170
+ "step": 110
171
+ },
172
+ {
173
+ "epoch": 0.056594488188976375,
174
+ "grad_norm": 3.1140432595060723,
175
+ "learning_rate": 5.637254901960784e-06,
176
+ "loss": 0.7279,
177
+ "step": 115
178
+ },
179
+ {
180
+ "epoch": 0.05905511811023622,
181
+ "grad_norm": 2.890134615014165,
182
+ "learning_rate": 5.882352941176471e-06,
183
+ "loss": 0.7061,
184
+ "step": 120
185
+ },
186
+ {
187
+ "epoch": 0.061515748031496065,
188
+ "grad_norm": 3.003266954139478,
189
+ "learning_rate": 6.1274509803921575e-06,
190
+ "loss": 0.7124,
191
+ "step": 125
192
+ },
193
+ {
194
+ "epoch": 0.0639763779527559,
195
+ "grad_norm": 3.490944793138708,
196
+ "learning_rate": 6.372549019607843e-06,
197
+ "loss": 0.7,
198
+ "step": 130
199
+ },
200
+ {
201
+ "epoch": 0.06643700787401575,
202
+ "grad_norm": 2.957015579169823,
203
+ "learning_rate": 6.61764705882353e-06,
204
+ "loss": 0.7109,
205
+ "step": 135
206
+ },
207
+ {
208
+ "epoch": 0.0688976377952756,
209
+ "grad_norm": 2.9802255807893343,
210
+ "learning_rate": 6.862745098039216e-06,
211
+ "loss": 0.7307,
212
+ "step": 140
213
+ },
214
+ {
215
+ "epoch": 0.07135826771653543,
216
+ "grad_norm": 2.979885982433863,
217
+ "learning_rate": 7.107843137254903e-06,
218
+ "loss": 0.6999,
219
+ "step": 145
220
+ },
221
+ {
222
+ "epoch": 0.07381889763779527,
223
+ "grad_norm": 3.4724625938807483,
224
+ "learning_rate": 7.352941176470589e-06,
225
+ "loss": 0.7018,
226
+ "step": 150
227
+ },
228
+ {
229
+ "epoch": 0.07627952755905512,
230
+ "grad_norm": 2.8756072791555822,
231
+ "learning_rate": 7.598039215686275e-06,
232
+ "loss": 0.6946,
233
+ "step": 155
234
+ },
235
+ {
236
+ "epoch": 0.07874015748031496,
237
+ "grad_norm": 2.888280542800706,
238
+ "learning_rate": 7.84313725490196e-06,
239
+ "loss": 0.6953,
240
+ "step": 160
241
+ },
242
+ {
243
+ "epoch": 0.0812007874015748,
244
+ "grad_norm": 3.0409331177011176,
245
+ "learning_rate": 8.088235294117648e-06,
246
+ "loss": 0.693,
247
+ "step": 165
248
+ },
249
+ {
250
+ "epoch": 0.08366141732283465,
251
+ "grad_norm": 2.905841883072287,
252
+ "learning_rate": 8.333333333333334e-06,
253
+ "loss": 0.6995,
254
+ "step": 170
255
+ },
256
+ {
257
+ "epoch": 0.08612204724409449,
258
+ "grad_norm": 2.8022565504484476,
259
+ "learning_rate": 8.57843137254902e-06,
260
+ "loss": 0.6941,
261
+ "step": 175
262
+ },
263
+ {
264
+ "epoch": 0.08858267716535433,
265
+ "grad_norm": 2.7594498957096523,
266
+ "learning_rate": 8.823529411764707e-06,
267
+ "loss": 0.6852,
268
+ "step": 180
269
+ },
270
+ {
271
+ "epoch": 0.09104330708661418,
272
+ "grad_norm": 2.928739510451242,
273
+ "learning_rate": 9.068627450980392e-06,
274
+ "loss": 0.6849,
275
+ "step": 185
276
+ },
277
+ {
278
+ "epoch": 0.09350393700787402,
279
+ "grad_norm": 2.922241571597126,
280
+ "learning_rate": 9.31372549019608e-06,
281
+ "loss": 0.6961,
282
+ "step": 190
283
+ },
284
+ {
285
+ "epoch": 0.09596456692913385,
286
+ "grad_norm": 2.733962541795604,
287
+ "learning_rate": 9.558823529411766e-06,
288
+ "loss": 0.6964,
289
+ "step": 195
290
+ },
291
+ {
292
+ "epoch": 0.0984251968503937,
293
+ "grad_norm": 3.3436619097327585,
294
+ "learning_rate": 9.803921568627451e-06,
295
+ "loss": 0.6903,
296
+ "step": 200
297
+ },
298
+ {
299
+ "epoch": 0.10088582677165354,
300
+ "grad_norm": 2.819756078395206,
301
+ "learning_rate": 9.999992616075212e-06,
302
+ "loss": 0.6871,
303
+ "step": 205
304
+ },
305
+ {
306
+ "epoch": 0.10334645669291338,
307
+ "grad_norm": 2.8245769395745217,
308
+ "learning_rate": 9.999734180997554e-06,
309
+ "loss": 0.7001,
310
+ "step": 210
311
+ },
312
+ {
313
+ "epoch": 0.10580708661417323,
314
+ "grad_norm": 2.8711422702525207,
315
+ "learning_rate": 9.999106571489132e-06,
316
+ "loss": 0.6851,
317
+ "step": 215
318
+ },
319
+ {
320
+ "epoch": 0.10826771653543307,
321
+ "grad_norm": 3.0388643695545077,
322
+ "learning_rate": 9.998109833891883e-06,
323
+ "loss": 0.6927,
324
+ "step": 220
325
+ },
326
+ {
327
+ "epoch": 0.11072834645669291,
328
+ "grad_norm": 2.7895631269121393,
329
+ "learning_rate": 9.996744041803731e-06,
330
+ "loss": 0.6716,
331
+ "step": 225
332
+ },
333
+ {
334
+ "epoch": 0.11318897637795275,
335
+ "grad_norm": 2.686288810148222,
336
+ "learning_rate": 9.995009296073138e-06,
337
+ "loss": 0.6725,
338
+ "step": 230
339
+ },
340
+ {
341
+ "epoch": 0.1156496062992126,
342
+ "grad_norm": 2.800082841358338,
343
+ "learning_rate": 9.992905724791669e-06,
344
+ "loss": 0.6717,
345
+ "step": 235
346
+ },
347
+ {
348
+ "epoch": 0.11811023622047244,
349
+ "grad_norm": 2.566573753796988,
350
+ "learning_rate": 9.990433483284527e-06,
351
+ "loss": 0.6666,
352
+ "step": 240
353
+ },
354
+ {
355
+ "epoch": 0.12057086614173228,
356
+ "grad_norm": 2.6155377853742467,
357
+ "learning_rate": 9.987592754099086e-06,
358
+ "loss": 0.6724,
359
+ "step": 245
360
+ },
361
+ {
362
+ "epoch": 0.12303149606299213,
363
+ "grad_norm": 2.6609874435959795,
364
+ "learning_rate": 9.984383746991416e-06,
365
+ "loss": 0.6756,
366
+ "step": 250
367
+ },
368
+ {
369
+ "epoch": 0.12549212598425197,
370
+ "grad_norm": 2.651450027647874,
371
+ "learning_rate": 9.980806698910787e-06,
372
+ "loss": 0.6764,
373
+ "step": 255
374
+ },
375
+ {
376
+ "epoch": 0.1279527559055118,
377
+ "grad_norm": 2.738239456171724,
378
+ "learning_rate": 9.976861873982177e-06,
379
+ "loss": 0.6858,
380
+ "step": 260
381
+ },
382
+ {
383
+ "epoch": 0.13041338582677164,
384
+ "grad_norm": 2.5749543275223767,
385
+ "learning_rate": 9.972549563486776e-06,
386
+ "loss": 0.681,
387
+ "step": 265
388
+ },
389
+ {
390
+ "epoch": 0.1328740157480315,
391
+ "grad_norm": 2.54868336015626,
392
+ "learning_rate": 9.967870085840463e-06,
393
+ "loss": 0.6822,
394
+ "step": 270
395
+ },
396
+ {
397
+ "epoch": 0.13533464566929135,
398
+ "grad_norm": 2.348509038708982,
399
+ "learning_rate": 9.962823786570306e-06,
400
+ "loss": 0.6701,
401
+ "step": 275
402
+ },
403
+ {
404
+ "epoch": 0.1377952755905512,
405
+ "grad_norm": 2.545785789782642,
406
+ "learning_rate": 9.95741103828905e-06,
407
+ "loss": 0.6672,
408
+ "step": 280
409
+ },
410
+ {
411
+ "epoch": 0.14025590551181102,
412
+ "grad_norm": 2.724173815762578,
413
+ "learning_rate": 9.951632240667592e-06,
414
+ "loss": 0.6659,
415
+ "step": 285
416
+ },
417
+ {
418
+ "epoch": 0.14271653543307086,
419
+ "grad_norm": 2.6494992216672197,
420
+ "learning_rate": 9.945487820405487e-06,
421
+ "loss": 0.6642,
422
+ "step": 290
423
+ },
424
+ {
425
+ "epoch": 0.1451771653543307,
426
+ "grad_norm": 2.477475682520284,
427
+ "learning_rate": 9.938978231199419e-06,
428
+ "loss": 0.6794,
429
+ "step": 295
430
+ },
431
+ {
432
+ "epoch": 0.14763779527559054,
433
+ "grad_norm": 2.589636626095672,
434
+ "learning_rate": 9.932103953709724e-06,
435
+ "loss": 0.6583,
436
+ "step": 300
437
+ },
438
+ {
439
+ "epoch": 0.1500984251968504,
440
+ "grad_norm": 2.53566392464488,
441
+ "learning_rate": 9.924865495524884e-06,
442
+ "loss": 0.6737,
443
+ "step": 305
444
+ },
445
+ {
446
+ "epoch": 0.15255905511811024,
447
+ "grad_norm": 3.013667820537959,
448
+ "learning_rate": 9.917263391124046e-06,
449
+ "loss": 0.6475,
450
+ "step": 310
451
+ },
452
+ {
453
+ "epoch": 0.15501968503937008,
454
+ "grad_norm": 2.5986666259102837,
455
+ "learning_rate": 9.90929820183757e-06,
456
+ "loss": 0.6496,
457
+ "step": 315
458
+ },
459
+ {
460
+ "epoch": 0.15748031496062992,
461
+ "grad_norm": 3.1918308775019715,
462
+ "learning_rate": 9.900970515805564e-06,
463
+ "loss": 0.6527,
464
+ "step": 320
465
+ },
466
+ {
467
+ "epoch": 0.15994094488188976,
468
+ "grad_norm": 2.58199571141749,
469
+ "learning_rate": 9.892280947934472e-06,
470
+ "loss": 0.6507,
471
+ "step": 325
472
+ },
473
+ {
474
+ "epoch": 0.1624015748031496,
475
+ "grad_norm": 2.5096275929429828,
476
+ "learning_rate": 9.883230139851656e-06,
477
+ "loss": 0.6493,
478
+ "step": 330
479
+ },
480
+ {
481
+ "epoch": 0.16486220472440946,
482
+ "grad_norm": 2.543717236052826,
483
+ "learning_rate": 9.873818759858034e-06,
484
+ "loss": 0.6398,
485
+ "step": 335
486
+ },
487
+ {
488
+ "epoch": 0.1673228346456693,
489
+ "grad_norm": 2.3455715291925987,
490
+ "learning_rate": 9.864047502878717e-06,
491
+ "loss": 0.6509,
492
+ "step": 340
493
+ },
494
+ {
495
+ "epoch": 0.16978346456692914,
496
+ "grad_norm": 2.7443847653291606,
497
+ "learning_rate": 9.853917090411713e-06,
498
+ "loss": 0.6587,
499
+ "step": 345
500
+ },
501
+ {
502
+ "epoch": 0.17224409448818898,
503
+ "grad_norm": 2.574575364550669,
504
+ "learning_rate": 9.84342827047464e-06,
505
+ "loss": 0.6351,
506
+ "step": 350
507
+ },
508
+ {
509
+ "epoch": 0.1747047244094488,
510
+ "grad_norm": 2.555747928874768,
511
+ "learning_rate": 9.832581817549497e-06,
512
+ "loss": 0.6223,
513
+ "step": 355
514
+ },
515
+ {
516
+ "epoch": 0.17716535433070865,
517
+ "grad_norm": 2.3868178771545834,
518
+ "learning_rate": 9.821378532525479e-06,
519
+ "loss": 0.6423,
520
+ "step": 360
521
+ },
522
+ {
523
+ "epoch": 0.1796259842519685,
524
+ "grad_norm": 2.3906560211167434,
525
+ "learning_rate": 9.809819242639841e-06,
526
+ "loss": 0.6203,
527
+ "step": 365
528
+ },
529
+ {
530
+ "epoch": 0.18208661417322836,
531
+ "grad_norm": 2.613672178779019,
532
+ "learning_rate": 9.79790480141681e-06,
533
+ "loss": 0.6397,
534
+ "step": 370
535
+ },
536
+ {
537
+ "epoch": 0.1845472440944882,
538
+ "grad_norm": 2.704435062795677,
539
+ "learning_rate": 9.785636088604571e-06,
540
+ "loss": 0.6401,
541
+ "step": 375
542
+ },
543
+ {
544
+ "epoch": 0.18700787401574803,
545
+ "grad_norm": 2.4110784601265935,
546
+ "learning_rate": 9.773014010110298e-06,
547
+ "loss": 0.6506,
548
+ "step": 380
549
+ },
550
+ {
551
+ "epoch": 0.18946850393700787,
552
+ "grad_norm": 2.3808900476483434,
553
+ "learning_rate": 9.760039497933266e-06,
554
+ "loss": 0.6427,
555
+ "step": 385
556
+ },
557
+ {
558
+ "epoch": 0.1919291338582677,
559
+ "grad_norm": 2.443382230868993,
560
+ "learning_rate": 9.74671351009604e-06,
561
+ "loss": 0.6536,
562
+ "step": 390
563
+ },
564
+ {
565
+ "epoch": 0.19438976377952755,
566
+ "grad_norm": 2.53346201637983,
567
+ "learning_rate": 9.733037030573725e-06,
568
+ "loss": 0.629,
569
+ "step": 395
570
+ },
571
+ {
572
+ "epoch": 0.1968503937007874,
573
+ "grad_norm": 2.7306008040110776,
574
+ "learning_rate": 9.719011069221316e-06,
575
+ "loss": 0.6395,
576
+ "step": 400
577
+ },
578
+ {
579
+ "epoch": 0.19931102362204725,
580
+ "grad_norm": 2.5885107627509316,
581
+ "learning_rate": 9.704636661699133e-06,
582
+ "loss": 0.6142,
583
+ "step": 405
584
+ },
585
+ {
586
+ "epoch": 0.2017716535433071,
587
+ "grad_norm": 2.5758279906754993,
588
+ "learning_rate": 9.68991486939635e-06,
589
+ "loss": 0.6332,
590
+ "step": 410
591
+ },
592
+ {
593
+ "epoch": 0.20423228346456693,
594
+ "grad_norm": 2.527125806186406,
595
+ "learning_rate": 9.674846779352613e-06,
596
+ "loss": 0.6155,
597
+ "step": 415
598
+ },
599
+ {
600
+ "epoch": 0.20669291338582677,
601
+ "grad_norm": 2.352822836622023,
602
+ "learning_rate": 9.659433504177786e-06,
603
+ "loss": 0.6108,
604
+ "step": 420
605
+ },
606
+ {
607
+ "epoch": 0.2091535433070866,
608
+ "grad_norm": 2.428790076631395,
609
+ "learning_rate": 9.643676181969792e-06,
610
+ "loss": 0.6204,
611
+ "step": 425
612
+ },
613
+ {
614
+ "epoch": 0.21161417322834647,
615
+ "grad_norm": 2.5614397854394055,
616
+ "learning_rate": 9.62757597623058e-06,
617
+ "loss": 0.6088,
618
+ "step": 430
619
+ },
620
+ {
621
+ "epoch": 0.2140748031496063,
622
+ "grad_norm": 2.4898996021687227,
623
+ "learning_rate": 9.611134075780209e-06,
624
+ "loss": 0.6211,
625
+ "step": 435
626
+ },
627
+ {
628
+ "epoch": 0.21653543307086615,
629
+ "grad_norm": 2.4088704164520927,
630
+ "learning_rate": 9.59435169466907e-06,
631
+ "loss": 0.6242,
632
+ "step": 440
633
+ },
634
+ {
635
+ "epoch": 0.21899606299212598,
636
+ "grad_norm": 2.5289526680832113,
637
+ "learning_rate": 9.577230072088246e-06,
638
+ "loss": 0.613,
639
+ "step": 445
640
+ },
641
+ {
642
+ "epoch": 0.22145669291338582,
643
+ "grad_norm": 2.40778858369484,
644
+ "learning_rate": 9.559770472277996e-06,
645
+ "loss": 0.6106,
646
+ "step": 450
647
+ },
648
+ {
649
+ "epoch": 0.22391732283464566,
650
+ "grad_norm": 3.00357065325349,
651
+ "learning_rate": 9.541974184434426e-06,
652
+ "loss": 0.6086,
653
+ "step": 455
654
+ },
655
+ {
656
+ "epoch": 0.2263779527559055,
657
+ "grad_norm": 2.420620535949469,
658
+ "learning_rate": 9.523842522614285e-06,
659
+ "loss": 0.604,
660
+ "step": 460
661
+ },
662
+ {
663
+ "epoch": 0.22883858267716536,
664
+ "grad_norm": 2.8983682401439936,
665
+ "learning_rate": 9.505376825637933e-06,
666
+ "loss": 0.5962,
667
+ "step": 465
668
+ },
669
+ {
670
+ "epoch": 0.2312992125984252,
671
+ "grad_norm": 2.6058841172777334,
672
+ "learning_rate": 9.486578456990494e-06,
673
+ "loss": 0.6022,
674
+ "step": 470
675
+ },
676
+ {
677
+ "epoch": 0.23375984251968504,
678
+ "grad_norm": 2.420955967093701,
679
+ "learning_rate": 9.467448804721171e-06,
680
+ "loss": 0.5849,
681
+ "step": 475
682
+ },
683
+ {
684
+ "epoch": 0.23622047244094488,
685
+ "grad_norm": 2.557055641112582,
686
+ "learning_rate": 9.447989281340753e-06,
687
+ "loss": 0.6052,
688
+ "step": 480
689
+ },
690
+ {
691
+ "epoch": 0.23868110236220472,
692
+ "grad_norm": 2.6358527915325625,
693
+ "learning_rate": 9.428201323717327e-06,
694
+ "loss": 0.6066,
695
+ "step": 485
696
+ },
697
+ {
698
+ "epoch": 0.24114173228346455,
699
+ "grad_norm": 2.514164645393038,
700
+ "learning_rate": 9.408086392970167e-06,
701
+ "loss": 0.6057,
702
+ "step": 490
703
+ },
704
+ {
705
+ "epoch": 0.24360236220472442,
706
+ "grad_norm": 2.386864670354864,
707
+ "learning_rate": 9.387645974361858e-06,
708
+ "loss": 0.5921,
709
+ "step": 495
710
+ },
711
+ {
712
+ "epoch": 0.24606299212598426,
713
+ "grad_norm": 2.572659612274251,
714
+ "learning_rate": 9.36688157718862e-06,
715
+ "loss": 0.5766,
716
+ "step": 500
717
+ },
718
+ {
719
+ "epoch": 0.2485236220472441,
720
+ "grad_norm": 2.4584516295055194,
721
+ "learning_rate": 9.345794734668866e-06,
722
+ "loss": 0.5922,
723
+ "step": 505
724
+ },
725
+ {
726
+ "epoch": 0.25098425196850394,
727
+ "grad_norm": 2.27813169588504,
728
+ "learning_rate": 9.324387003829993e-06,
729
+ "loss": 0.6002,
730
+ "step": 510
731
+ },
732
+ {
733
+ "epoch": 0.2534448818897638,
734
+ "grad_norm": 2.513354918132864,
735
+ "learning_rate": 9.302659965393404e-06,
736
+ "loss": 0.5863,
737
+ "step": 515
738
+ },
739
+ {
740
+ "epoch": 0.2559055118110236,
741
+ "grad_norm": 2.57065216369518,
742
+ "learning_rate": 9.280615223657801e-06,
743
+ "loss": 0.5827,
744
+ "step": 520
745
+ },
746
+ {
747
+ "epoch": 0.25836614173228345,
748
+ "grad_norm": 2.508285807949247,
749
+ "learning_rate": 9.258254406380718e-06,
750
+ "loss": 0.6003,
751
+ "step": 525
752
+ },
753
+ {
754
+ "epoch": 0.2608267716535433,
755
+ "grad_norm": 2.393181758359751,
756
+ "learning_rate": 9.23557916465833e-06,
757
+ "loss": 0.5876,
758
+ "step": 530
759
+ },
760
+ {
761
+ "epoch": 0.2632874015748031,
762
+ "grad_norm": 2.45141675908852,
763
+ "learning_rate": 9.212591172803541e-06,
764
+ "loss": 0.5782,
765
+ "step": 535
766
+ },
767
+ {
768
+ "epoch": 0.265748031496063,
769
+ "grad_norm": 2.602808329250647,
770
+ "learning_rate": 9.189292128222355e-06,
771
+ "loss": 0.5817,
772
+ "step": 540
773
+ },
774
+ {
775
+ "epoch": 0.26820866141732286,
776
+ "grad_norm": 2.6264024238291332,
777
+ "learning_rate": 9.165683751288537e-06,
778
+ "loss": 0.5987,
779
+ "step": 545
780
+ },
781
+ {
782
+ "epoch": 0.2706692913385827,
783
+ "grad_norm": 2.5206627459795086,
784
+ "learning_rate": 9.141767785216585e-06,
785
+ "loss": 0.5773,
786
+ "step": 550
787
+ },
788
+ {
789
+ "epoch": 0.27312992125984253,
790
+ "grad_norm": 2.538664530429439,
791
+ "learning_rate": 9.117545995933015e-06,
792
+ "loss": 0.5725,
793
+ "step": 555
794
+ },
795
+ {
796
+ "epoch": 0.2755905511811024,
797
+ "grad_norm": 2.541257403182122,
798
+ "learning_rate": 9.093020171945966e-06,
799
+ "loss": 0.5667,
800
+ "step": 560
801
+ },
802
+ {
803
+ "epoch": 0.2780511811023622,
804
+ "grad_norm": 2.3883496422885937,
805
+ "learning_rate": 9.068192124213135e-06,
806
+ "loss": 0.5681,
807
+ "step": 565
808
+ },
809
+ {
810
+ "epoch": 0.28051181102362205,
811
+ "grad_norm": 2.4768611856821128,
812
+ "learning_rate": 9.043063686008066e-06,
813
+ "loss": 0.5693,
814
+ "step": 570
815
+ },
816
+ {
817
+ "epoch": 0.2829724409448819,
818
+ "grad_norm": 2.531509664449831,
819
+ "learning_rate": 9.017636712784776e-06,
820
+ "loss": 0.5712,
821
+ "step": 575
822
+ },
823
+ {
824
+ "epoch": 0.2854330708661417,
825
+ "grad_norm": 2.4497026467822134,
826
+ "learning_rate": 8.991913082040752e-06,
827
+ "loss": 0.5711,
828
+ "step": 580
829
+ },
830
+ {
831
+ "epoch": 0.28789370078740156,
832
+ "grad_norm": 2.3627002230344027,
833
+ "learning_rate": 8.96589469317832e-06,
834
+ "loss": 0.5746,
835
+ "step": 585
836
+ },
837
+ {
838
+ "epoch": 0.2903543307086614,
839
+ "grad_norm": 2.5848492576021207,
840
+ "learning_rate": 8.9395834673644e-06,
841
+ "loss": 0.5638,
842
+ "step": 590
843
+ },
844
+ {
845
+ "epoch": 0.29281496062992124,
846
+ "grad_norm": 2.7943897726154026,
847
+ "learning_rate": 8.912981347388634e-06,
848
+ "loss": 0.5716,
849
+ "step": 595
850
+ },
851
+ {
852
+ "epoch": 0.2952755905511811,
853
+ "grad_norm": 2.4233634727846547,
854
+ "learning_rate": 8.886090297519956e-06,
855
+ "loss": 0.5589,
856
+ "step": 600
857
+ },
858
+ {
859
+ "epoch": 0.29773622047244097,
860
+ "grad_norm": 2.406617785286132,
861
+ "learning_rate": 8.85891230336153e-06,
862
+ "loss": 0.5743,
863
+ "step": 605
864
+ },
865
+ {
866
+ "epoch": 0.3001968503937008,
867
+ "grad_norm": 2.375668869002511,
868
+ "learning_rate": 8.83144937170415e-06,
869
+ "loss": 0.5536,
870
+ "step": 610
871
+ },
872
+ {
873
+ "epoch": 0.30265748031496065,
874
+ "grad_norm": 2.3455722754718416,
875
+ "learning_rate": 8.803703530378059e-06,
876
+ "loss": 0.5516,
877
+ "step": 615
878
+ },
879
+ {
880
+ "epoch": 0.3051181102362205,
881
+ "grad_norm": 2.5237377829623107,
882
+ "learning_rate": 8.775676828103205e-06,
883
+ "loss": 0.5565,
884
+ "step": 620
885
+ },
886
+ {
887
+ "epoch": 0.3075787401574803,
888
+ "grad_norm": 2.287022202884204,
889
+ "learning_rate": 8.747371334337983e-06,
890
+ "loss": 0.5725,
891
+ "step": 625
892
+ },
893
+ {
894
+ "epoch": 0.31003937007874016,
895
+ "grad_norm": 2.291688895957761,
896
+ "learning_rate": 8.718789139126417e-06,
897
+ "loss": 0.545,
898
+ "step": 630
899
+ },
900
+ {
901
+ "epoch": 0.3125,
902
+ "grad_norm": 2.527855069790082,
903
+ "learning_rate": 8.689932352943837e-06,
904
+ "loss": 0.543,
905
+ "step": 635
906
+ },
907
+ {
908
+ "epoch": 0.31496062992125984,
909
+ "grad_norm": 2.3987364116312535,
910
+ "learning_rate": 8.660803106541044e-06,
911
+ "loss": 0.5475,
912
+ "step": 640
913
+ },
914
+ {
915
+ "epoch": 0.3174212598425197,
916
+ "grad_norm": 2.61276055348719,
917
+ "learning_rate": 8.631403550786979e-06,
918
+ "loss": 0.5488,
919
+ "step": 645
920
+ },
921
+ {
922
+ "epoch": 0.3198818897637795,
923
+ "grad_norm": 2.419050184531339,
924
+ "learning_rate": 8.601735856509903e-06,
925
+ "loss": 0.5476,
926
+ "step": 650
927
+ },
928
+ {
929
+ "epoch": 0.32234251968503935,
930
+ "grad_norm": 2.3768631155511537,
931
+ "learning_rate": 8.571802214337107e-06,
932
+ "loss": 0.5637,
933
+ "step": 655
934
+ },
935
+ {
936
+ "epoch": 0.3248031496062992,
937
+ "grad_norm": 2.4228616659745987,
938
+ "learning_rate": 8.541604834533159e-06,
939
+ "loss": 0.5305,
940
+ "step": 660
941
+ },
942
+ {
943
+ "epoch": 0.32726377952755903,
944
+ "grad_norm": 2.3754663831523875,
945
+ "learning_rate": 8.511145946836704e-06,
946
+ "loss": 0.5331,
947
+ "step": 665
948
+ },
949
+ {
950
+ "epoch": 0.3297244094488189,
951
+ "grad_norm": 2.3398125333991535,
952
+ "learning_rate": 8.48042780029581e-06,
953
+ "loss": 0.5357,
954
+ "step": 670
955
+ },
956
+ {
957
+ "epoch": 0.33218503937007876,
958
+ "grad_norm": 2.4983820414217663,
959
+ "learning_rate": 8.449452663101918e-06,
960
+ "loss": 0.5332,
961
+ "step": 675
962
+ },
963
+ {
964
+ "epoch": 0.3346456692913386,
965
+ "grad_norm": 2.3721219410260397,
966
+ "learning_rate": 8.418222822422348e-06,
967
+ "loss": 0.5417,
968
+ "step": 680
969
+ },
970
+ {
971
+ "epoch": 0.33710629921259844,
972
+ "grad_norm": 2.360196232033206,
973
+ "learning_rate": 8.386740584231431e-06,
974
+ "loss": 0.5461,
975
+ "step": 685
976
+ },
977
+ {
978
+ "epoch": 0.3395669291338583,
979
+ "grad_norm": 2.466049773095662,
980
+ "learning_rate": 8.355008273140222e-06,
981
+ "loss": 0.5253,
982
+ "step": 690
983
+ },
984
+ {
985
+ "epoch": 0.3420275590551181,
986
+ "grad_norm": 2.348269078433154,
987
+ "learning_rate": 8.323028232224863e-06,
988
+ "loss": 0.5304,
989
+ "step": 695
990
+ },
991
+ {
992
+ "epoch": 0.34448818897637795,
993
+ "grad_norm": 2.476352965234454,
994
+ "learning_rate": 8.290802822853576e-06,
995
+ "loss": 0.5349,
996
+ "step": 700
997
+ },
998
+ {
999
+ "epoch": 0.3469488188976378,
1000
+ "grad_norm": 2.279222616967455,
1001
+ "learning_rate": 8.258334424512293e-06,
1002
+ "loss": 0.546,
1003
+ "step": 705
1004
+ },
1005
+ {
1006
+ "epoch": 0.3494094488188976,
1007
+ "grad_norm": 2.3637014928251623,
1008
+ "learning_rate": 8.22562543462897e-06,
1009
+ "loss": 0.5371,
1010
+ "step": 710
1011
+ },
1012
+ {
1013
+ "epoch": 0.35187007874015747,
1014
+ "grad_norm": 2.619852828253986,
1015
+ "learning_rate": 8.192678268396545e-06,
1016
+ "loss": 0.5237,
1017
+ "step": 715
1018
+ },
1019
+ {
1020
+ "epoch": 0.3543307086614173,
1021
+ "grad_norm": 2.5571753512444912,
1022
+ "learning_rate": 8.159495358594627e-06,
1023
+ "loss": 0.5296,
1024
+ "step": 720
1025
+ },
1026
+ {
1027
+ "epoch": 0.35679133858267714,
1028
+ "grad_norm": 2.312802552942875,
1029
+ "learning_rate": 8.126079155409845e-06,
1030
+ "loss": 0.5235,
1031
+ "step": 725
1032
+ },
1033
+ {
1034
+ "epoch": 0.359251968503937,
1035
+ "grad_norm": 2.5951586860371374,
1036
+ "learning_rate": 8.092432126254933e-06,
1037
+ "loss": 0.5031,
1038
+ "step": 730
1039
+ },
1040
+ {
1041
+ "epoch": 0.3617125984251969,
1042
+ "grad_norm": 2.325097293624387,
1043
+ "learning_rate": 8.058556755586537e-06,
1044
+ "loss": 0.5233,
1045
+ "step": 735
1046
+ },
1047
+ {
1048
+ "epoch": 0.3641732283464567,
1049
+ "grad_norm": 2.2732745100546725,
1050
+ "learning_rate": 8.024455544721778e-06,
1051
+ "loss": 0.5247,
1052
+ "step": 740
1053
+ },
1054
+ {
1055
+ "epoch": 0.36663385826771655,
1056
+ "grad_norm": 2.363542176910271,
1057
+ "learning_rate": 7.990131011653545e-06,
1058
+ "loss": 0.5218,
1059
+ "step": 745
1060
+ },
1061
+ {
1062
+ "epoch": 0.3690944881889764,
1063
+ "grad_norm": 2.3003464358723127,
1064
+ "learning_rate": 7.955585690864567e-06,
1065
+ "loss": 0.5116,
1066
+ "step": 750
1067
+ },
1068
+ {
1069
+ "epoch": 0.3715551181102362,
1070
+ "grad_norm": 2.3293766926582213,
1071
+ "learning_rate": 7.920822133140285e-06,
1072
+ "loss": 0.5263,
1073
+ "step": 755
1074
+ },
1075
+ {
1076
+ "epoch": 0.37401574803149606,
1077
+ "grad_norm": 2.334188982780053,
1078
+ "learning_rate": 7.88584290538049e-06,
1079
+ "loss": 0.4941,
1080
+ "step": 760
1081
+ },
1082
+ {
1083
+ "epoch": 0.3764763779527559,
1084
+ "grad_norm": 2.351749135985343,
1085
+ "learning_rate": 7.850650590409795e-06,
1086
+ "loss": 0.5116,
1087
+ "step": 765
1088
+ },
1089
+ {
1090
+ "epoch": 0.37893700787401574,
1091
+ "grad_norm": 2.296567696173685,
1092
+ "learning_rate": 7.815247786786919e-06,
1093
+ "loss": 0.5225,
1094
+ "step": 770
1095
+ },
1096
+ {
1097
+ "epoch": 0.3813976377952756,
1098
+ "grad_norm": 2.4483931002237975,
1099
+ "learning_rate": 7.779637108612813e-06,
1100
+ "loss": 0.5188,
1101
+ "step": 775
1102
+ },
1103
+ {
1104
+ "epoch": 0.3838582677165354,
1105
+ "grad_norm": 2.372343104732536,
1106
+ "learning_rate": 7.743821185337634e-06,
1107
+ "loss": 0.5138,
1108
+ "step": 780
1109
+ },
1110
+ {
1111
+ "epoch": 0.38631889763779526,
1112
+ "grad_norm": 2.561786660857743,
1113
+ "learning_rate": 7.7078026615666e-06,
1114
+ "loss": 0.5005,
1115
+ "step": 785
1116
+ },
1117
+ {
1118
+ "epoch": 0.3887795275590551,
1119
+ "grad_norm": 2.2678689682364017,
1120
+ "learning_rate": 7.671584196864703e-06,
1121
+ "loss": 0.5144,
1122
+ "step": 790
1123
+ },
1124
+ {
1125
+ "epoch": 0.391240157480315,
1126
+ "grad_norm": 2.4118009586518223,
1127
+ "learning_rate": 7.635168465560343e-06,
1128
+ "loss": 0.507,
1129
+ "step": 795
1130
+ },
1131
+ {
1132
+ "epoch": 0.3937007874015748,
1133
+ "grad_norm": 2.3699190289261742,
1134
+ "learning_rate": 7.598558156547842e-06,
1135
+ "loss": 0.5058,
1136
+ "step": 800
1137
+ },
1138
+ {
1139
+ "epoch": 0.39616141732283466,
1140
+ "grad_norm": 2.3834254512275894,
1141
+ "learning_rate": 7.561755973088917e-06,
1142
+ "loss": 0.5098,
1143
+ "step": 805
1144
+ },
1145
+ {
1146
+ "epoch": 0.3986220472440945,
1147
+ "grad_norm": 2.3484210670312304,
1148
+ "learning_rate": 7.52476463261306e-06,
1149
+ "loss": 0.5101,
1150
+ "step": 810
1151
+ },
1152
+ {
1153
+ "epoch": 0.40108267716535434,
1154
+ "grad_norm": 2.259743181885874,
1155
+ "learning_rate": 7.487586866516897e-06,
1156
+ "loss": 0.4957,
1157
+ "step": 815
1158
+ },
1159
+ {
1160
+ "epoch": 0.4035433070866142,
1161
+ "grad_norm": 2.459196143941421,
1162
+ "learning_rate": 7.450225419962498e-06,
1163
+ "loss": 0.5018,
1164
+ "step": 820
1165
+ },
1166
+ {
1167
+ "epoch": 0.406003937007874,
1168
+ "grad_norm": 2.3987573923118326,
1169
+ "learning_rate": 7.412683051674681e-06,
1170
+ "loss": 0.505,
1171
+ "step": 825
1172
+ },
1173
+ {
1174
+ "epoch": 0.40846456692913385,
1175
+ "grad_norm": 2.3945193465931527,
1176
+ "learning_rate": 7.374962533737306e-06,
1177
+ "loss": 0.5021,
1178
+ "step": 830
1179
+ },
1180
+ {
1181
+ "epoch": 0.4109251968503937,
1182
+ "grad_norm": 2.450543787256226,
1183
+ "learning_rate": 7.3370666513885965e-06,
1184
+ "loss": 0.5045,
1185
+ "step": 835
1186
+ },
1187
+ {
1188
+ "epoch": 0.41338582677165353,
1189
+ "grad_norm": 2.3773634574014624,
1190
+ "learning_rate": 7.298998202815474e-06,
1191
+ "loss": 0.4843,
1192
+ "step": 840
1193
+ },
1194
+ {
1195
+ "epoch": 0.41584645669291337,
1196
+ "grad_norm": 2.3218222930991312,
1197
+ "learning_rate": 7.260759998946945e-06,
1198
+ "loss": 0.4999,
1199
+ "step": 845
1200
+ },
1201
+ {
1202
+ "epoch": 0.4183070866141732,
1203
+ "grad_norm": 2.2812480048868045,
1204
+ "learning_rate": 7.2223548632465424e-06,
1205
+ "loss": 0.4903,
1206
+ "step": 850
1207
+ },
1208
+ {
1209
+ "epoch": 0.42076771653543305,
1210
+ "grad_norm": 2.3409310514361246,
1211
+ "learning_rate": 7.183785631503851e-06,
1212
+ "loss": 0.4816,
1213
+ "step": 855
1214
+ },
1215
+ {
1216
+ "epoch": 0.42322834645669294,
1217
+ "grad_norm": 2.3088182610498897,
1218
+ "learning_rate": 7.145055151625113e-06,
1219
+ "loss": 0.4754,
1220
+ "step": 860
1221
+ },
1222
+ {
1223
+ "epoch": 0.4256889763779528,
1224
+ "grad_norm": 2.3963782413431325,
1225
+ "learning_rate": 7.1061662834229375e-06,
1226
+ "loss": 0.4918,
1227
+ "step": 865
1228
+ },
1229
+ {
1230
+ "epoch": 0.4281496062992126,
1231
+ "grad_norm": 2.375549548917402,
1232
+ "learning_rate": 7.0671218984051385e-06,
1233
+ "loss": 0.4797,
1234
+ "step": 870
1235
+ },
1236
+ {
1237
+ "epoch": 0.43061023622047245,
1238
+ "grad_norm": 2.340240253487199,
1239
+ "learning_rate": 7.0279248795627156e-06,
1240
+ "loss": 0.4804,
1241
+ "step": 875
1242
+ },
1243
+ {
1244
+ "epoch": 0.4330708661417323,
1245
+ "grad_norm": 2.5999252908460564,
1246
+ "learning_rate": 6.988578121156956e-06,
1247
+ "loss": 0.4975,
1248
+ "step": 880
1249
+ },
1250
+ {
1251
+ "epoch": 0.43553149606299213,
1252
+ "grad_norm": 2.412860995827959,
1253
+ "learning_rate": 6.9490845285057505e-06,
1254
+ "loss": 0.4757,
1255
+ "step": 885
1256
+ },
1257
+ {
1258
+ "epoch": 0.43799212598425197,
1259
+ "grad_norm": 2.3723415230376053,
1260
+ "learning_rate": 6.909447017769047e-06,
1261
+ "loss": 0.485,
1262
+ "step": 890
1263
+ },
1264
+ {
1265
+ "epoch": 0.4404527559055118,
1266
+ "grad_norm": 2.2444505424132357,
1267
+ "learning_rate": 6.869668515733536e-06,
1268
+ "loss": 0.4791,
1269
+ "step": 895
1270
+ },
1271
+ {
1272
+ "epoch": 0.44291338582677164,
1273
+ "grad_norm": 2.4018284029434627,
1274
+ "learning_rate": 6.829751959596544e-06,
1275
+ "loss": 0.4781,
1276
+ "step": 900
1277
+ },
1278
+ {
1279
+ "epoch": 0.4453740157480315,
1280
+ "grad_norm": 2.2719247540147873,
1281
+ "learning_rate": 6.789700296749141e-06,
1282
+ "loss": 0.4664,
1283
+ "step": 905
1284
+ },
1285
+ {
1286
+ "epoch": 0.4478346456692913,
1287
+ "grad_norm": 2.5647531601957296,
1288
+ "learning_rate": 6.749516484558518e-06,
1289
+ "loss": 0.4771,
1290
+ "step": 910
1291
+ },
1292
+ {
1293
+ "epoch": 0.45029527559055116,
1294
+ "grad_norm": 2.209823332066905,
1295
+ "learning_rate": 6.709203490149615e-06,
1296
+ "loss": 0.4775,
1297
+ "step": 915
1298
+ },
1299
+ {
1300
+ "epoch": 0.452755905511811,
1301
+ "grad_norm": 2.3889046698682734,
1302
+ "learning_rate": 6.668764290186039e-06,
1303
+ "loss": 0.4632,
1304
+ "step": 920
1305
+ },
1306
+ {
1307
+ "epoch": 0.4552165354330709,
1308
+ "grad_norm": 2.3497617502204142,
1309
+ "learning_rate": 6.628201870650262e-06,
1310
+ "loss": 0.4609,
1311
+ "step": 925
1312
+ },
1313
+ {
1314
+ "epoch": 0.45767716535433073,
1315
+ "grad_norm": 2.286479842578479,
1316
+ "learning_rate": 6.587519226623137e-06,
1317
+ "loss": 0.4584,
1318
+ "step": 930
1319
+ },
1320
+ {
1321
+ "epoch": 0.46013779527559057,
1322
+ "grad_norm": 2.346679839886123,
1323
+ "learning_rate": 6.546719362062763e-06,
1324
+ "loss": 0.4627,
1325
+ "step": 935
1326
+ },
1327
+ {
1328
+ "epoch": 0.4625984251968504,
1329
+ "grad_norm": 2.372517236495747,
1330
+ "learning_rate": 6.50580528958265e-06,
1331
+ "loss": 0.4627,
1332
+ "step": 940
1333
+ },
1334
+ {
1335
+ "epoch": 0.46505905511811024,
1336
+ "grad_norm": 2.352894112351414,
1337
+ "learning_rate": 6.464780030229297e-06,
1338
+ "loss": 0.4613,
1339
+ "step": 945
1340
+ },
1341
+ {
1342
+ "epoch": 0.4675196850393701,
1343
+ "grad_norm": 2.3155134840690073,
1344
+ "learning_rate": 6.423646613259103e-06,
1345
+ "loss": 0.4643,
1346
+ "step": 950
1347
+ },
1348
+ {
1349
+ "epoch": 0.4699803149606299,
1350
+ "grad_norm": 2.2802677404420604,
1351
+ "learning_rate": 6.382408075914698e-06,
1352
+ "loss": 0.4675,
1353
+ "step": 955
1354
+ },
1355
+ {
1356
+ "epoch": 0.47244094488188976,
1357
+ "grad_norm": 2.3261149198375577,
1358
+ "learning_rate": 6.341067463200678e-06,
1359
+ "loss": 0.4661,
1360
+ "step": 960
1361
+ },
1362
+ {
1363
+ "epoch": 0.4749015748031496,
1364
+ "grad_norm": 2.3024057597107723,
1365
+ "learning_rate": 6.299627827658757e-06,
1366
+ "loss": 0.4695,
1367
+ "step": 965
1368
+ },
1369
+ {
1370
+ "epoch": 0.47736220472440943,
1371
+ "grad_norm": 2.3579401662222805,
1372
+ "learning_rate": 6.258092229142383e-06,
1373
+ "loss": 0.4557,
1374
+ "step": 970
1375
+ },
1376
+ {
1377
+ "epoch": 0.47982283464566927,
1378
+ "grad_norm": 2.4039007796045624,
1379
+ "learning_rate": 6.216463734590797e-06,
1380
+ "loss": 0.4733,
1381
+ "step": 975
1382
+ },
1383
+ {
1384
+ "epoch": 0.4822834645669291,
1385
+ "grad_norm": 2.350383170709395,
1386
+ "learning_rate": 6.174745417802563e-06,
1387
+ "loss": 0.4542,
1388
+ "step": 980
1389
+ },
1390
+ {
1391
+ "epoch": 0.484744094488189,
1392
+ "grad_norm": 2.3727437081826195,
1393
+ "learning_rate": 6.132940359208625e-06,
1394
+ "loss": 0.4599,
1395
+ "step": 985
1396
+ },
1397
+ {
1398
+ "epoch": 0.48720472440944884,
1399
+ "grad_norm": 2.2638903752102877,
1400
+ "learning_rate": 6.09105164564483e-06,
1401
+ "loss": 0.4581,
1402
+ "step": 990
1403
+ },
1404
+ {
1405
+ "epoch": 0.4896653543307087,
1406
+ "grad_norm": 2.391666707671801,
1407
+ "learning_rate": 6.049082370124011e-06,
1408
+ "loss": 0.4335,
1409
+ "step": 995
1410
+ },
1411
+ {
1412
+ "epoch": 0.4921259842519685,
1413
+ "grad_norm": 2.285287290642185,
1414
+ "learning_rate": 6.007035631607605e-06,
1415
+ "loss": 0.4322,
1416
+ "step": 1000
1417
+ },
1418
+ {
1419
+ "epoch": 0.49458661417322836,
1420
+ "grad_norm": 2.3527234691645886,
1421
+ "learning_rate": 5.964914534776814e-06,
1422
+ "loss": 0.4452,
1423
+ "step": 1005
1424
+ },
1425
+ {
1426
+ "epoch": 0.4970472440944882,
1427
+ "grad_norm": 2.388047521619243,
1428
+ "learning_rate": 5.9227221898033785e-06,
1429
+ "loss": 0.4452,
1430
+ "step": 1010
1431
+ },
1432
+ {
1433
+ "epoch": 0.49950787401574803,
1434
+ "grad_norm": 2.330957204189204,
1435
+ "learning_rate": 5.880461712119913e-06,
1436
+ "loss": 0.4509,
1437
+ "step": 1015
1438
+ },
1439
+ {
1440
+ "epoch": 0.5019685039370079,
1441
+ "grad_norm": 2.3767662326352146,
1442
+ "learning_rate": 5.838136222189874e-06,
1443
+ "loss": 0.4417,
1444
+ "step": 1020
1445
+ },
1446
+ {
1447
+ "epoch": 0.5044291338582677,
1448
+ "grad_norm": 2.3296456305613553,
1449
+ "learning_rate": 5.795748845277143e-06,
1450
+ "loss": 0.4456,
1451
+ "step": 1025
1452
+ },
1453
+ {
1454
+ "epoch": 0.5068897637795275,
1455
+ "grad_norm": 2.3238395450456317,
1456
+ "learning_rate": 5.75330271121526e-06,
1457
+ "loss": 0.4483,
1458
+ "step": 1030
1459
+ },
1460
+ {
1461
+ "epoch": 0.5093503937007874,
1462
+ "grad_norm": 2.271731748541768,
1463
+ "learning_rate": 5.710800954176326e-06,
1464
+ "loss": 0.4439,
1465
+ "step": 1035
1466
+ },
1467
+ {
1468
+ "epoch": 0.5118110236220472,
1469
+ "grad_norm": 2.2730785805154716,
1470
+ "learning_rate": 5.668246712439579e-06,
1471
+ "loss": 0.438,
1472
+ "step": 1040
1473
+ },
1474
+ {
1475
+ "epoch": 0.5142716535433071,
1476
+ "grad_norm": 2.2984158447258856,
1477
+ "learning_rate": 5.625643128159658e-06,
1478
+ "loss": 0.4371,
1479
+ "step": 1045
1480
+ },
1481
+ {
1482
+ "epoch": 0.5167322834645669,
1483
+ "grad_norm": 2.138298543480362,
1484
+ "learning_rate": 5.582993347134604e-06,
1485
+ "loss": 0.4358,
1486
+ "step": 1050
1487
+ },
1488
+ {
1489
+ "epoch": 0.5191929133858267,
1490
+ "grad_norm": 2.2656933007145326,
1491
+ "learning_rate": 5.540300518573564e-06,
1492
+ "loss": 0.4456,
1493
+ "step": 1055
1494
+ },
1495
+ {
1496
+ "epoch": 0.5216535433070866,
1497
+ "grad_norm": 2.4687742042434437,
1498
+ "learning_rate": 5.4975677948642704e-06,
1499
+ "loss": 0.4292,
1500
+ "step": 1060
1501
+ },
1502
+ {
1503
+ "epoch": 0.5241141732283464,
1504
+ "grad_norm": 2.2023440824897538,
1505
+ "learning_rate": 5.454798331340261e-06,
1506
+ "loss": 0.4448,
1507
+ "step": 1065
1508
+ },
1509
+ {
1510
+ "epoch": 0.5265748031496063,
1511
+ "grad_norm": 2.3820756070238844,
1512
+ "learning_rate": 5.4119952860479e-06,
1513
+ "loss": 0.4322,
1514
+ "step": 1070
1515
+ },
1516
+ {
1517
+ "epoch": 0.5290354330708661,
1518
+ "grad_norm": 2.307966181110738,
1519
+ "learning_rate": 5.369161819513189e-06,
1520
+ "loss": 0.4345,
1521
+ "step": 1075
1522
+ },
1523
+ {
1524
+ "epoch": 0.531496062992126,
1525
+ "grad_norm": 2.4566374524002006,
1526
+ "learning_rate": 5.3263010945083994e-06,
1527
+ "loss": 0.4342,
1528
+ "step": 1080
1529
+ },
1530
+ {
1531
+ "epoch": 0.5339566929133859,
1532
+ "grad_norm": 2.304141656628352,
1533
+ "learning_rate": 5.283416275818531e-06,
1534
+ "loss": 0.4304,
1535
+ "step": 1085
1536
+ },
1537
+ {
1538
+ "epoch": 0.5364173228346457,
1539
+ "grad_norm": 2.3743587538000974,
1540
+ "learning_rate": 5.240510530007641e-06,
1541
+ "loss": 0.4248,
1542
+ "step": 1090
1543
+ },
1544
+ {
1545
+ "epoch": 0.5388779527559056,
1546
+ "grad_norm": 2.275764809511964,
1547
+ "learning_rate": 5.1975870251850105e-06,
1548
+ "loss": 0.4294,
1549
+ "step": 1095
1550
+ },
1551
+ {
1552
+ "epoch": 0.5413385826771654,
1553
+ "grad_norm": 2.4755101283685823,
1554
+ "learning_rate": 5.1546489307712345e-06,
1555
+ "loss": 0.4248,
1556
+ "step": 1100
1557
+ },
1558
+ {
1559
+ "epoch": 0.5437992125984252,
1560
+ "grad_norm": 2.1985695933129406,
1561
+ "learning_rate": 5.111699417264177e-06,
1562
+ "loss": 0.423,
1563
+ "step": 1105
1564
+ },
1565
+ {
1566
+ "epoch": 0.5462598425196851,
1567
+ "grad_norm": 2.2532688868144537,
1568
+ "learning_rate": 5.06874165600488e-06,
1569
+ "loss": 0.4247,
1570
+ "step": 1110
1571
+ },
1572
+ {
1573
+ "epoch": 0.5487204724409449,
1574
+ "grad_norm": 2.5064255810867553,
1575
+ "learning_rate": 5.025778818943391e-06,
1576
+ "loss": 0.4171,
1577
+ "step": 1115
1578
+ },
1579
+ {
1580
+ "epoch": 0.5511811023622047,
1581
+ "grad_norm": 2.223795201431944,
1582
+ "learning_rate": 4.982814078404543e-06,
1583
+ "loss": 0.4136,
1584
+ "step": 1120
1585
+ },
1586
+ {
1587
+ "epoch": 0.5536417322834646,
1588
+ "grad_norm": 2.321073710905454,
1589
+ "learning_rate": 4.939850606853724e-06,
1590
+ "loss": 0.4128,
1591
+ "step": 1125
1592
+ },
1593
+ {
1594
+ "epoch": 0.5561023622047244,
1595
+ "grad_norm": 2.352196407309558,
1596
+ "learning_rate": 4.89689157666262e-06,
1597
+ "loss": 0.4225,
1598
+ "step": 1130
1599
+ },
1600
+ {
1601
+ "epoch": 0.5585629921259843,
1602
+ "grad_norm": 2.3165609074323386,
1603
+ "learning_rate": 4.853940159874972e-06,
1604
+ "loss": 0.4137,
1605
+ "step": 1135
1606
+ },
1607
+ {
1608
+ "epoch": 0.5610236220472441,
1609
+ "grad_norm": 2.249863447456596,
1610
+ "learning_rate": 4.8109995279723556e-06,
1611
+ "loss": 0.4124,
1612
+ "step": 1140
1613
+ },
1614
+ {
1615
+ "epoch": 0.5634842519685039,
1616
+ "grad_norm": 2.3324932344927927,
1617
+ "learning_rate": 4.768072851640006e-06,
1618
+ "loss": 0.4092,
1619
+ "step": 1145
1620
+ },
1621
+ {
1622
+ "epoch": 0.5659448818897638,
1623
+ "grad_norm": 2.175622171626361,
1624
+ "learning_rate": 4.7251633005326935e-06,
1625
+ "loss": 0.4044,
1626
+ "step": 1150
1627
+ },
1628
+ {
1629
+ "epoch": 0.5684055118110236,
1630
+ "grad_norm": 2.244989030279403,
1631
+ "learning_rate": 4.682274043040682e-06,
1632
+ "loss": 0.4102,
1633
+ "step": 1155
1634
+ },
1635
+ {
1636
+ "epoch": 0.5708661417322834,
1637
+ "grad_norm": 2.3655854821968583,
1638
+ "learning_rate": 4.639408246055781e-06,
1639
+ "loss": 0.3998,
1640
+ "step": 1160
1641
+ },
1642
+ {
1643
+ "epoch": 0.5733267716535433,
1644
+ "grad_norm": 2.3662328414472147,
1645
+ "learning_rate": 4.596569074737501e-06,
1646
+ "loss": 0.4209,
1647
+ "step": 1165
1648
+ },
1649
+ {
1650
+ "epoch": 0.5757874015748031,
1651
+ "grad_norm": 2.2898685582377114,
1652
+ "learning_rate": 4.5537596922793475e-06,
1653
+ "loss": 0.3884,
1654
+ "step": 1170
1655
+ },
1656
+ {
1657
+ "epoch": 0.578248031496063,
1658
+ "grad_norm": 2.175371768003494,
1659
+ "learning_rate": 4.510983259675252e-06,
1660
+ "loss": 0.413,
1661
+ "step": 1175
1662
+ },
1663
+ {
1664
+ "epoch": 0.5807086614173228,
1665
+ "grad_norm": 2.174940506600783,
1666
+ "learning_rate": 4.468242935486164e-06,
1667
+ "loss": 0.3977,
1668
+ "step": 1180
1669
+ },
1670
+ {
1671
+ "epoch": 0.5831692913385826,
1672
+ "grad_norm": 2.2645627809171205,
1673
+ "learning_rate": 4.425541875606837e-06,
1674
+ "loss": 0.4,
1675
+ "step": 1185
1676
+ },
1677
+ {
1678
+ "epoch": 0.5856299212598425,
1679
+ "grad_norm": 2.3434052194119097,
1680
+ "learning_rate": 4.38288323303279e-06,
1681
+ "loss": 0.416,
1682
+ "step": 1190
1683
+ },
1684
+ {
1685
+ "epoch": 0.5880905511811023,
1686
+ "grad_norm": 2.1589090436361027,
1687
+ "learning_rate": 4.340270157627496e-06,
1688
+ "loss": 0.3975,
1689
+ "step": 1195
1690
+ },
1691
+ {
1692
+ "epoch": 0.5905511811023622,
1693
+ "grad_norm": 2.2770509922795226,
1694
+ "learning_rate": 4.29770579588981e-06,
1695
+ "loss": 0.4133,
1696
+ "step": 1200
1697
+ },
1698
+ {
1699
+ "epoch": 0.593011811023622,
1700
+ "grad_norm": 2.133861488496685,
1701
+ "learning_rate": 4.255193290721626e-06,
1702
+ "loss": 0.3965,
1703
+ "step": 1205
1704
+ },
1705
+ {
1706
+ "epoch": 0.5954724409448819,
1707
+ "grad_norm": 2.0592654419552474,
1708
+ "learning_rate": 4.2127357811958006e-06,
1709
+ "loss": 0.3944,
1710
+ "step": 1210
1711
+ },
1712
+ {
1713
+ "epoch": 0.5979330708661418,
1714
+ "grad_norm": 2.3061861279285756,
1715
+ "learning_rate": 4.170336402324393e-06,
1716
+ "loss": 0.3989,
1717
+ "step": 1215
1718
+ },
1719
+ {
1720
+ "epoch": 0.6003937007874016,
1721
+ "grad_norm": 2.1897218075138665,
1722
+ "learning_rate": 4.127998284827148e-06,
1723
+ "loss": 0.3922,
1724
+ "step": 1220
1725
+ },
1726
+ {
1727
+ "epoch": 0.6028543307086615,
1728
+ "grad_norm": 2.273569046487088,
1729
+ "learning_rate": 4.085724554900359e-06,
1730
+ "loss": 0.3919,
1731
+ "step": 1225
1732
+ },
1733
+ {
1734
+ "epoch": 0.6053149606299213,
1735
+ "grad_norm": 2.316647904273548,
1736
+ "learning_rate": 4.043518333986009e-06,
1737
+ "loss": 0.4004,
1738
+ "step": 1230
1739
+ },
1740
+ {
1741
+ "epoch": 0.6077755905511811,
1742
+ "grad_norm": 2.139410821479213,
1743
+ "learning_rate": 4.001382738541291e-06,
1744
+ "loss": 0.3868,
1745
+ "step": 1235
1746
+ },
1747
+ {
1748
+ "epoch": 0.610236220472441,
1749
+ "grad_norm": 2.4158380958610266,
1750
+ "learning_rate": 3.9593208798085094e-06,
1751
+ "loss": 0.3968,
1752
+ "step": 1240
1753
+ },
1754
+ {
1755
+ "epoch": 0.6126968503937008,
1756
+ "grad_norm": 2.2664180097106934,
1757
+ "learning_rate": 3.9173358635853285e-06,
1758
+ "loss": 0.3977,
1759
+ "step": 1245
1760
+ },
1761
+ {
1762
+ "epoch": 0.6151574803149606,
1763
+ "grad_norm": 2.1617748237173995,
1764
+ "learning_rate": 3.875430789995454e-06,
1765
+ "loss": 0.3951,
1766
+ "step": 1250
1767
+ },
1768
+ {
1769
+ "epoch": 0.6176181102362205,
1770
+ "grad_norm": 2.3139618808394258,
1771
+ "learning_rate": 3.833608753259729e-06,
1772
+ "loss": 0.3883,
1773
+ "step": 1255
1774
+ },
1775
+ {
1776
+ "epoch": 0.6200787401574803,
1777
+ "grad_norm": 2.2557729958410646,
1778
+ "learning_rate": 3.791872841467643e-06,
1779
+ "loss": 0.3833,
1780
+ "step": 1260
1781
+ },
1782
+ {
1783
+ "epoch": 0.6225393700787402,
1784
+ "grad_norm": 2.288978630108445,
1785
+ "learning_rate": 3.7502261363493346e-06,
1786
+ "loss": 0.392,
1787
+ "step": 1265
1788
+ },
1789
+ {
1790
+ "epoch": 0.625,
1791
+ "grad_norm": 2.400211890621822,
1792
+ "learning_rate": 3.708671713048017e-06,
1793
+ "loss": 0.382,
1794
+ "step": 1270
1795
+ },
1796
+ {
1797
+ "epoch": 0.6274606299212598,
1798
+ "grad_norm": 2.14291748228325,
1799
+ "learning_rate": 3.6672126398929273e-06,
1800
+ "loss": 0.3868,
1801
+ "step": 1275
1802
+ },
1803
+ {
1804
+ "epoch": 0.6299212598425197,
1805
+ "grad_norm": 2.189481811128098,
1806
+ "learning_rate": 3.625851978172765e-06,
1807
+ "loss": 0.3844,
1808
+ "step": 1280
1809
+ },
1810
+ {
1811
+ "epoch": 0.6323818897637795,
1812
+ "grad_norm": 2.17033479220634,
1813
+ "learning_rate": 3.5845927819096405e-06,
1814
+ "loss": 0.3767,
1815
+ "step": 1285
1816
+ },
1817
+ {
1818
+ "epoch": 0.6348425196850394,
1819
+ "grad_norm": 2.1024337319523285,
1820
+ "learning_rate": 3.543438097633577e-06,
1821
+ "loss": 0.385,
1822
+ "step": 1290
1823
+ },
1824
+ {
1825
+ "epoch": 0.6373031496062992,
1826
+ "grad_norm": 2.1601959551273584,
1827
+ "learning_rate": 3.5023909641575604e-06,
1828
+ "loss": 0.3655,
1829
+ "step": 1295
1830
+ },
1831
+ {
1832
+ "epoch": 0.639763779527559,
1833
+ "grad_norm": 2.2147245957921324,
1834
+ "learning_rate": 3.4614544123531476e-06,
1835
+ "loss": 0.3846,
1836
+ "step": 1300
1837
+ },
1838
+ {
1839
+ "epoch": 0.6422244094488189,
1840
+ "grad_norm": 2.2767016812027037,
1841
+ "learning_rate": 3.4206314649266813e-06,
1842
+ "loss": 0.3829,
1843
+ "step": 1305
1844
+ },
1845
+ {
1846
+ "epoch": 0.6446850393700787,
1847
+ "grad_norm": 2.189301400471183,
1848
+ "learning_rate": 3.3799251361960883e-06,
1849
+ "loss": 0.3793,
1850
+ "step": 1310
1851
+ },
1852
+ {
1853
+ "epoch": 0.6471456692913385,
1854
+ "grad_norm": 2.2486478577990328,
1855
+ "learning_rate": 3.339338431868311e-06,
1856
+ "loss": 0.3651,
1857
+ "step": 1315
1858
+ },
1859
+ {
1860
+ "epoch": 0.6496062992125984,
1861
+ "grad_norm": 2.1239701183150186,
1862
+ "learning_rate": 3.29887434881737e-06,
1863
+ "loss": 0.3962,
1864
+ "step": 1320
1865
+ },
1866
+ {
1867
+ "epoch": 0.6520669291338582,
1868
+ "grad_norm": 2.0943809822170194,
1869
+ "learning_rate": 3.2585358748630725e-06,
1870
+ "loss": 0.3781,
1871
+ "step": 1325
1872
+ },
1873
+ {
1874
+ "epoch": 0.6545275590551181,
1875
+ "grad_norm": 2.302998816495133,
1876
+ "learning_rate": 3.2183259885504003e-06,
1877
+ "loss": 0.3599,
1878
+ "step": 1330
1879
+ },
1880
+ {
1881
+ "epoch": 0.656988188976378,
1882
+ "grad_norm": 2.093137463735972,
1883
+ "learning_rate": 3.1782476589295803e-06,
1884
+ "loss": 0.3693,
1885
+ "step": 1335
1886
+ },
1887
+ {
1888
+ "epoch": 0.6594488188976378,
1889
+ "grad_norm": 2.0537589165415038,
1890
+ "learning_rate": 3.138303845336844e-06,
1891
+ "loss": 0.3767,
1892
+ "step": 1340
1893
+ },
1894
+ {
1895
+ "epoch": 0.6619094488188977,
1896
+ "grad_norm": 2.1644873169815018,
1897
+ "learning_rate": 3.098497497175925e-06,
1898
+ "loss": 0.3758,
1899
+ "step": 1345
1900
+ },
1901
+ {
1902
+ "epoch": 0.6643700787401575,
1903
+ "grad_norm": 2.1158460604452904,
1904
+ "learning_rate": 3.0588315537002682e-06,
1905
+ "loss": 0.3715,
1906
+ "step": 1350
1907
+ },
1908
+ {
1909
+ "epoch": 0.6668307086614174,
1910
+ "grad_norm": 2.312489752052895,
1911
+ "learning_rate": 3.0193089437960043e-06,
1912
+ "loss": 0.3764,
1913
+ "step": 1355
1914
+ },
1915
+ {
1916
+ "epoch": 0.6692913385826772,
1917
+ "grad_norm": 2.4373363981556686,
1918
+ "learning_rate": 2.9799325857656856e-06,
1919
+ "loss": 0.3639,
1920
+ "step": 1360
1921
+ },
1922
+ {
1923
+ "epoch": 0.671751968503937,
1924
+ "grad_norm": 2.051650821654651,
1925
+ "learning_rate": 2.940705387112798e-06,
1926
+ "loss": 0.3456,
1927
+ "step": 1365
1928
+ },
1929
+ {
1930
+ "epoch": 0.6742125984251969,
1931
+ "grad_norm": 2.162923091354617,
1932
+ "learning_rate": 2.901630244327075e-06,
1933
+ "loss": 0.3737,
1934
+ "step": 1370
1935
+ },
1936
+ {
1937
+ "epoch": 0.6766732283464567,
1938
+ "grad_norm": 2.1826289176609617,
1939
+ "learning_rate": 2.862710042670629e-06,
1940
+ "loss": 0.3777,
1941
+ "step": 1375
1942
+ },
1943
+ {
1944
+ "epoch": 0.6791338582677166,
1945
+ "grad_norm": 2.271492512262752,
1946
+ "learning_rate": 2.8239476559649013e-06,
1947
+ "loss": 0.3672,
1948
+ "step": 1380
1949
+ },
1950
+ {
1951
+ "epoch": 0.6815944881889764,
1952
+ "grad_norm": 2.0841809045493442,
1953
+ "learning_rate": 2.7853459463784643e-06,
1954
+ "loss": 0.3658,
1955
+ "step": 1385
1956
+ },
1957
+ {
1958
+ "epoch": 0.6840551181102362,
1959
+ "grad_norm": 2.220969106748428,
1960
+ "learning_rate": 2.7469077642156844e-06,
1961
+ "loss": 0.3602,
1962
+ "step": 1390
1963
+ },
1964
+ {
1965
+ "epoch": 0.6865157480314961,
1966
+ "grad_norm": 2.009625282982446,
1967
+ "learning_rate": 2.7086359477062542e-06,
1968
+ "loss": 0.353,
1969
+ "step": 1395
1970
+ },
1971
+ {
1972
+ "epoch": 0.6889763779527559,
1973
+ "grad_norm": 2.267920231263409,
1974
+ "learning_rate": 2.6705333227956304e-06,
1975
+ "loss": 0.3672,
1976
+ "step": 1400
1977
+ },
1978
+ {
1979
+ "epoch": 0.6914370078740157,
1980
+ "grad_norm": 2.099753211120495,
1981
+ "learning_rate": 2.6326027029363575e-06,
1982
+ "loss": 0.3657,
1983
+ "step": 1405
1984
+ },
1985
+ {
1986
+ "epoch": 0.6938976377952756,
1987
+ "grad_norm": 2.3887622578641046,
1988
+ "learning_rate": 2.5948468888803323e-06,
1989
+ "loss": 0.3641,
1990
+ "step": 1410
1991
+ },
1992
+ {
1993
+ "epoch": 0.6963582677165354,
1994
+ "grad_norm": 2.2574854591596063,
1995
+ "learning_rate": 2.557268668472002e-06,
1996
+ "loss": 0.3681,
1997
+ "step": 1415
1998
+ },
1999
+ {
2000
+ "epoch": 0.6988188976377953,
2001
+ "grad_norm": 2.1541998550392285,
2002
+ "learning_rate": 2.5198708164425046e-06,
2003
+ "loss": 0.3666,
2004
+ "step": 1420
2005
+ },
2006
+ {
2007
+ "epoch": 0.7012795275590551,
2008
+ "grad_norm": 2.2114896772148924,
2009
+ "learning_rate": 2.482656094204794e-06,
2010
+ "loss": 0.3721,
2011
+ "step": 1425
2012
+ },
2013
+ {
2014
+ "epoch": 0.7037401574803149,
2015
+ "grad_norm": 1.999095279733753,
2016
+ "learning_rate": 2.445627249649742e-06,
2017
+ "loss": 0.3533,
2018
+ "step": 1430
2019
+ },
2020
+ {
2021
+ "epoch": 0.7062007874015748,
2022
+ "grad_norm": 2.447157001336924,
2023
+ "learning_rate": 2.4087870169432263e-06,
2024
+ "loss": 0.3512,
2025
+ "step": 1435
2026
+ },
2027
+ {
2028
+ "epoch": 0.7086614173228346,
2029
+ "grad_norm": 2.1383643267190875,
2030
+ "learning_rate": 2.372138116324254e-06,
2031
+ "loss": 0.3637,
2032
+ "step": 1440
2033
+ },
2034
+ {
2035
+ "epoch": 0.7111220472440944,
2036
+ "grad_norm": 2.2411777344710933,
2037
+ "learning_rate": 2.3356832539040976e-06,
2038
+ "loss": 0.3521,
2039
+ "step": 1445
2040
+ },
2041
+ {
2042
+ "epoch": 0.7135826771653543,
2043
+ "grad_norm": 2.081326294904533,
2044
+ "learning_rate": 2.2994251214664754e-06,
2045
+ "loss": 0.3636,
2046
+ "step": 1450
2047
+ },
2048
+ {
2049
+ "epoch": 0.7160433070866141,
2050
+ "grad_norm": 2.0265851050443717,
2051
+ "learning_rate": 2.263366396268806e-06,
2052
+ "loss": 0.3631,
2053
+ "step": 1455
2054
+ },
2055
+ {
2056
+ "epoch": 0.718503937007874,
2057
+ "grad_norm": 2.016445263024121,
2058
+ "learning_rate": 2.227509740844508e-06,
2059
+ "loss": 0.3506,
2060
+ "step": 1460
2061
+ },
2062
+ {
2063
+ "epoch": 0.7209645669291339,
2064
+ "grad_norm": 1.9859142840819781,
2065
+ "learning_rate": 2.191857802806409e-06,
2066
+ "loss": 0.3492,
2067
+ "step": 1465
2068
+ },
2069
+ {
2070
+ "epoch": 0.7234251968503937,
2071
+ "grad_norm": 2.131894669259727,
2072
+ "learning_rate": 2.1564132146512494e-06,
2073
+ "loss": 0.361,
2074
+ "step": 1470
2075
+ },
2076
+ {
2077
+ "epoch": 0.7258858267716536,
2078
+ "grad_norm": 2.054521134481261,
2079
+ "learning_rate": 2.1211785935652974e-06,
2080
+ "loss": 0.353,
2081
+ "step": 1475
2082
+ },
2083
+ {
2084
+ "epoch": 0.7283464566929134,
2085
+ "grad_norm": 2.195553612057405,
2086
+ "learning_rate": 2.086156541231109e-06,
2087
+ "loss": 0.3541,
2088
+ "step": 1480
2089
+ },
2090
+ {
2091
+ "epoch": 0.7308070866141733,
2092
+ "grad_norm": 2.078190944421504,
2093
+ "learning_rate": 2.05134964363541e-06,
2094
+ "loss": 0.3532,
2095
+ "step": 1485
2096
+ },
2097
+ {
2098
+ "epoch": 0.7332677165354331,
2099
+ "grad_norm": 1.9784288837683923,
2100
+ "learning_rate": 2.016760470878158e-06,
2101
+ "loss": 0.3537,
2102
+ "step": 1490
2103
+ },
2104
+ {
2105
+ "epoch": 0.7357283464566929,
2106
+ "grad_norm": 2.161906206866742,
2107
+ "learning_rate": 1.9823915769827672e-06,
2108
+ "loss": 0.3635,
2109
+ "step": 1495
2110
+ },
2111
+ {
2112
+ "epoch": 0.7381889763779528,
2113
+ "grad_norm": 2.0523238713671135,
2114
+ "learning_rate": 1.948245499707523e-06,
2115
+ "loss": 0.3486,
2116
+ "step": 1500
2117
+ },
2118
+ {
2119
+ "epoch": 0.7406496062992126,
2120
+ "grad_norm": 2.08663663246033,
2121
+ "learning_rate": 1.9143247603581925e-06,
2122
+ "loss": 0.3517,
2123
+ "step": 1505
2124
+ },
2125
+ {
2126
+ "epoch": 0.7431102362204725,
2127
+ "grad_norm": 2.247439527318004,
2128
+ "learning_rate": 1.8806318636018666e-06,
2129
+ "loss": 0.3485,
2130
+ "step": 1510
2131
+ },
2132
+ {
2133
+ "epoch": 0.7455708661417323,
2134
+ "grad_norm": 2.2948321577508355,
2135
+ "learning_rate": 1.8471692972820027e-06,
2136
+ "loss": 0.3554,
2137
+ "step": 1515
2138
+ },
2139
+ {
2140
+ "epoch": 0.7480314960629921,
2141
+ "grad_norm": 2.1604348165019065,
2142
+ "learning_rate": 1.8139395322347335e-06,
2143
+ "loss": 0.3489,
2144
+ "step": 1520
2145
+ },
2146
+ {
2147
+ "epoch": 0.750492125984252,
2148
+ "grad_norm": 2.125600663304225,
2149
+ "learning_rate": 1.780945022106424e-06,
2150
+ "loss": 0.3589,
2151
+ "step": 1525
2152
+ },
2153
+ {
2154
+ "epoch": 0.7529527559055118,
2155
+ "grad_norm": 1.9910694715906239,
2156
+ "learning_rate": 1.7481882031724929e-06,
2157
+ "loss": 0.3483,
2158
+ "step": 1530
2159
+ },
2160
+ {
2161
+ "epoch": 0.7554133858267716,
2162
+ "grad_norm": 2.024386438154311,
2163
+ "learning_rate": 1.7156714941575292e-06,
2164
+ "loss": 0.3582,
2165
+ "step": 1535
2166
+ },
2167
+ {
2168
+ "epoch": 0.7578740157480315,
2169
+ "grad_norm": 2.236178264159934,
2170
+ "learning_rate": 1.6833972960566868e-06,
2171
+ "loss": 0.3535,
2172
+ "step": 1540
2173
+ },
2174
+ {
2175
+ "epoch": 0.7603346456692913,
2176
+ "grad_norm": 2.0509148837648876,
2177
+ "learning_rate": 1.6513679919583975e-06,
2178
+ "loss": 0.3485,
2179
+ "step": 1545
2180
+ },
2181
+ {
2182
+ "epoch": 0.7627952755905512,
2183
+ "grad_norm": 1.9020807079292121,
2184
+ "learning_rate": 1.6195859468684199e-06,
2185
+ "loss": 0.3496,
2186
+ "step": 1550
2187
+ },
2188
+ {
2189
+ "epoch": 0.765255905511811,
2190
+ "grad_norm": 2.1302050953871694,
2191
+ "learning_rate": 1.588053507535195e-06,
2192
+ "loss": 0.3385,
2193
+ "step": 1555
2194
+ },
2195
+ {
2196
+ "epoch": 0.7677165354330708,
2197
+ "grad_norm": 2.184409457671906,
2198
+ "learning_rate": 1.5567730022765753e-06,
2199
+ "loss": 0.342,
2200
+ "step": 1560
2201
+ },
2202
+ {
2203
+ "epoch": 0.7701771653543307,
2204
+ "grad_norm": 2.1109842289764735,
2205
+ "learning_rate": 1.5257467408078996e-06,
2206
+ "loss": 0.3461,
2207
+ "step": 1565
2208
+ },
2209
+ {
2210
+ "epoch": 0.7726377952755905,
2211
+ "grad_norm": 1.9447642578789646,
2212
+ "learning_rate": 1.494977014071441e-06,
2213
+ "loss": 0.3321,
2214
+ "step": 1570
2215
+ },
2216
+ {
2217
+ "epoch": 0.7750984251968503,
2218
+ "grad_norm": 2.160598206464441,
2219
+ "learning_rate": 1.4644660940672628e-06,
2220
+ "loss": 0.3463,
2221
+ "step": 1575
2222
+ },
2223
+ {
2224
+ "epoch": 0.7775590551181102,
2225
+ "grad_norm": 1.9954045529577038,
2226
+ "learning_rate": 1.434216233685441e-06,
2227
+ "loss": 0.354,
2228
+ "step": 1580
2229
+ },
2230
+ {
2231
+ "epoch": 0.78001968503937,
2232
+ "grad_norm": 1.8705318043615158,
2233
+ "learning_rate": 1.4042296665397187e-06,
2234
+ "loss": 0.3354,
2235
+ "step": 1585
2236
+ },
2237
+ {
2238
+ "epoch": 0.78248031496063,
2239
+ "grad_norm": 2.131526940157942,
2240
+ "learning_rate": 1.374508606802586e-06,
2241
+ "loss": 0.326,
2242
+ "step": 1590
2243
+ },
2244
+ {
2245
+ "epoch": 0.7849409448818898,
2246
+ "grad_norm": 1.9854582148960758,
2247
+ "learning_rate": 1.3450552490417712e-06,
2248
+ "loss": 0.3286,
2249
+ "step": 1595
2250
+ },
2251
+ {
2252
+ "epoch": 0.7874015748031497,
2253
+ "grad_norm": 2.005367208929083,
2254
+ "learning_rate": 1.3158717680582128e-06,
2255
+ "loss": 0.3422,
2256
+ "step": 1600
2257
+ },
2258
+ {
2259
+ "epoch": 0.7898622047244095,
2260
+ "grad_norm": 2.0697719484600614,
2261
+ "learning_rate": 1.286960318725471e-06,
2262
+ "loss": 0.3405,
2263
+ "step": 1605
2264
+ },
2265
+ {
2266
+ "epoch": 0.7923228346456693,
2267
+ "grad_norm": 2.1676514262257656,
2268
+ "learning_rate": 1.2583230358306053e-06,
2269
+ "loss": 0.3519,
2270
+ "step": 1610
2271
+ },
2272
+ {
2273
+ "epoch": 0.7947834645669292,
2274
+ "grad_norm": 2.030399197550805,
2275
+ "learning_rate": 1.2299620339165607e-06,
2276
+ "loss": 0.3371,
2277
+ "step": 1615
2278
+ },
2279
+ {
2280
+ "epoch": 0.797244094488189,
2281
+ "grad_norm": 1.8800725084378718,
2282
+ "learning_rate": 1.201879407126012e-06,
2283
+ "loss": 0.3387,
2284
+ "step": 1620
2285
+ },
2286
+ {
2287
+ "epoch": 0.7997047244094488,
2288
+ "grad_norm": 2.1095666405799345,
2289
+ "learning_rate": 1.1740772290467518e-06,
2290
+ "loss": 0.343,
2291
+ "step": 1625
2292
+ },
2293
+ {
2294
+ "epoch": 0.8021653543307087,
2295
+ "grad_norm": 2.036216759579623,
2296
+ "learning_rate": 1.1465575525585743e-06,
2297
+ "loss": 0.3254,
2298
+ "step": 1630
2299
+ },
2300
+ {
2301
+ "epoch": 0.8046259842519685,
2302
+ "grad_norm": 1.9725419805321742,
2303
+ "learning_rate": 1.119322409681689e-06,
2304
+ "loss": 0.3377,
2305
+ "step": 1635
2306
+ },
2307
+ {
2308
+ "epoch": 0.8070866141732284,
2309
+ "grad_norm": 2.261947410750145,
2310
+ "learning_rate": 1.0923738114266824e-06,
2311
+ "loss": 0.3414,
2312
+ "step": 1640
2313
+ },
2314
+ {
2315
+ "epoch": 0.8095472440944882,
2316
+ "grad_norm": 1.9967677016675829,
2317
+ "learning_rate": 1.0657137476460272e-06,
2318
+ "loss": 0.3427,
2319
+ "step": 1645
2320
+ },
2321
+ {
2322
+ "epoch": 0.812007874015748,
2323
+ "grad_norm": 1.9329332696972708,
2324
+ "learning_rate": 1.0393441868871507e-06,
2325
+ "loss": 0.3309,
2326
+ "step": 1650
2327
+ },
2328
+ {
2329
+ "epoch": 0.8144685039370079,
2330
+ "grad_norm": 2.080216309757756,
2331
+ "learning_rate": 1.0132670762470875e-06,
2332
+ "loss": 0.3403,
2333
+ "step": 1655
2334
+ },
2335
+ {
2336
+ "epoch": 0.8169291338582677,
2337
+ "grad_norm": 1.9963077191898775,
2338
+ "learning_rate": 9.874843412286994e-07,
2339
+ "loss": 0.3395,
2340
+ "step": 1660
2341
+ },
2342
+ {
2343
+ "epoch": 0.8193897637795275,
2344
+ "grad_norm": 2.1468283823628584,
2345
+ "learning_rate": 9.619978855985017e-07,
2346
+ "loss": 0.3365,
2347
+ "step": 1665
2348
+ },
2349
+ {
2350
+ "epoch": 0.8218503937007874,
2351
+ "grad_norm": 2.030201170967621,
2352
+ "learning_rate": 9.368095912460934e-07,
2353
+ "loss": 0.3343,
2354
+ "step": 1670
2355
+ },
2356
+ {
2357
+ "epoch": 0.8243110236220472,
2358
+ "grad_norm": 2.144207392793775,
2359
+ "learning_rate": 9.119213180451974e-07,
2360
+ "loss": 0.3365,
2361
+ "step": 1675
2362
+ },
2363
+ {
2364
+ "epoch": 0.8267716535433071,
2365
+ "grad_norm": 2.139359174863488,
2366
+ "learning_rate": 8.87334903716332e-07,
2367
+ "loss": 0.3344,
2368
+ "step": 1680
2369
+ },
2370
+ {
2371
+ "epoch": 0.8292322834645669,
2372
+ "grad_norm": 2.0756053748869028,
2373
+ "learning_rate": 8.630521636911171e-07,
2374
+ "loss": 0.3396,
2375
+ "step": 1685
2376
+ },
2377
+ {
2378
+ "epoch": 0.8316929133858267,
2379
+ "grad_norm": 1.9417094509672648,
2380
+ "learning_rate": 8.390748909782204e-07,
2381
+ "loss": 0.3319,
2382
+ "step": 1690
2383
+ },
2384
+ {
2385
+ "epoch": 0.8341535433070866,
2386
+ "grad_norm": 1.904699920697159,
2387
+ "learning_rate": 8.154048560309669e-07,
2388
+ "loss": 0.3383,
2389
+ "step": 1695
2390
+ },
2391
+ {
2392
+ "epoch": 0.8366141732283464,
2393
+ "grad_norm": 1.9020653291530694,
2394
+ "learning_rate": 7.920438066166097e-07,
2395
+ "loss": 0.3349,
2396
+ "step": 1700
2397
+ },
2398
+ {
2399
+ "epoch": 0.8390748031496063,
2400
+ "grad_norm": 2.00777989664957,
2401
+ "learning_rate": 7.689934676872768e-07,
2402
+ "loss": 0.337,
2403
+ "step": 1705
2404
+ },
2405
+ {
2406
+ "epoch": 0.8415354330708661,
2407
+ "grad_norm": 2.1247990851762677,
2408
+ "learning_rate": 7.462555412526062e-07,
2409
+ "loss": 0.3299,
2410
+ "step": 1710
2411
+ },
2412
+ {
2413
+ "epoch": 0.843996062992126,
2414
+ "grad_norm": 2.0897419693416004,
2415
+ "learning_rate": 7.238317062540661e-07,
2416
+ "loss": 0.3261,
2417
+ "step": 1715
2418
+ },
2419
+ {
2420
+ "epoch": 0.8464566929133859,
2421
+ "grad_norm": 2.243164262785359,
2422
+ "learning_rate": 7.017236184409859e-07,
2423
+ "loss": 0.3378,
2424
+ "step": 1720
2425
+ },
2426
+ {
2427
+ "epoch": 0.8489173228346457,
2428
+ "grad_norm": 1.9439608610518924,
2429
+ "learning_rate": 6.799329102482988e-07,
2430
+ "loss": 0.3206,
2431
+ "step": 1725
2432
+ },
2433
+ {
2434
+ "epoch": 0.8513779527559056,
2435
+ "grad_norm": 2.001456213276007,
2436
+ "learning_rate": 6.584611906760036e-07,
2437
+ "loss": 0.3224,
2438
+ "step": 1730
2439
+ },
2440
+ {
2441
+ "epoch": 0.8538385826771654,
2442
+ "grad_norm": 1.9357999946640365,
2443
+ "learning_rate": 6.373100451703601e-07,
2444
+ "loss": 0.3514,
2445
+ "step": 1735
2446
+ },
2447
+ {
2448
+ "epoch": 0.8562992125984252,
2449
+ "grad_norm": 1.8706183982176696,
2450
+ "learning_rate": 6.164810355068179e-07,
2451
+ "loss": 0.3355,
2452
+ "step": 1740
2453
+ },
2454
+ {
2455
+ "epoch": 0.8587598425196851,
2456
+ "grad_norm": 1.9372386803072519,
2457
+ "learning_rate": 5.959756996746996e-07,
2458
+ "loss": 0.3383,
2459
+ "step": 1745
2460
+ },
2461
+ {
2462
+ "epoch": 0.8612204724409449,
2463
+ "grad_norm": 1.9978519375008006,
2464
+ "learning_rate": 5.757955517636365e-07,
2465
+ "loss": 0.329,
2466
+ "step": 1750
2467
+ },
2468
+ {
2469
+ "epoch": 0.8636811023622047,
2470
+ "grad_norm": 2.260582620281468,
2471
+ "learning_rate": 5.559420818517702e-07,
2472
+ "loss": 0.3352,
2473
+ "step": 1755
2474
+ },
2475
+ {
2476
+ "epoch": 0.8661417322834646,
2477
+ "grad_norm": 1.905722889331543,
2478
+ "learning_rate": 5.364167558957267e-07,
2479
+ "loss": 0.3241,
2480
+ "step": 1760
2481
+ },
2482
+ {
2483
+ "epoch": 0.8686023622047244,
2484
+ "grad_norm": 2.08290721357846,
2485
+ "learning_rate": 5.172210156223745e-07,
2486
+ "loss": 0.3336,
2487
+ "step": 1765
2488
+ },
2489
+ {
2490
+ "epoch": 0.8710629921259843,
2491
+ "grad_norm": 2.0264311598023728,
2492
+ "learning_rate": 4.983562784223645e-07,
2493
+ "loss": 0.3191,
2494
+ "step": 1770
2495
+ },
2496
+ {
2497
+ "epoch": 0.8735236220472441,
2498
+ "grad_norm": 1.9306929816740388,
2499
+ "learning_rate": 4.798239372454738e-07,
2500
+ "loss": 0.3256,
2501
+ "step": 1775
2502
+ },
2503
+ {
2504
+ "epoch": 0.8759842519685039,
2505
+ "grad_norm": 1.9166412725439652,
2506
+ "learning_rate": 4.6162536049775387e-07,
2507
+ "loss": 0.3284,
2508
+ "step": 1780
2509
+ },
2510
+ {
2511
+ "epoch": 0.8784448818897638,
2512
+ "grad_norm": 1.9640277798271495,
2513
+ "learning_rate": 4.437618919404851e-07,
2514
+ "loss": 0.3233,
2515
+ "step": 1785
2516
+ },
2517
+ {
2518
+ "epoch": 0.8809055118110236,
2519
+ "grad_norm": 1.9101328543862819,
2520
+ "learning_rate": 4.262348505909608e-07,
2521
+ "loss": 0.326,
2522
+ "step": 1790
2523
+ },
2524
+ {
2525
+ "epoch": 0.8833661417322834,
2526
+ "grad_norm": 1.9078892149815414,
2527
+ "learning_rate": 4.0904553062508677e-07,
2528
+ "loss": 0.3273,
2529
+ "step": 1795
2530
+ },
2531
+ {
2532
+ "epoch": 0.8858267716535433,
2533
+ "grad_norm": 1.92469620169423,
2534
+ "learning_rate": 3.9219520128182087e-07,
2535
+ "loss": 0.3222,
2536
+ "step": 1800
2537
+ },
2538
+ {
2539
+ "epoch": 0.8882874015748031,
2540
+ "grad_norm": 1.8872478826399433,
2541
+ "learning_rate": 3.756851067694606e-07,
2542
+ "loss": 0.3233,
2543
+ "step": 1805
2544
+ },
2545
+ {
2546
+ "epoch": 0.890748031496063,
2547
+ "grad_norm": 2.1313117581123366,
2548
+ "learning_rate": 3.5951646617376603e-07,
2549
+ "loss": 0.3309,
2550
+ "step": 1810
2551
+ },
2552
+ {
2553
+ "epoch": 0.8932086614173228,
2554
+ "grad_norm": 1.857899228482062,
2555
+ "learning_rate": 3.436904733679436e-07,
2556
+ "loss": 0.3231,
2557
+ "step": 1815
2558
+ },
2559
+ {
2560
+ "epoch": 0.8956692913385826,
2561
+ "grad_norm": 1.9630046166560744,
2562
+ "learning_rate": 3.2820829692449984e-07,
2563
+ "loss": 0.3314,
2564
+ "step": 1820
2565
+ },
2566
+ {
2567
+ "epoch": 0.8981299212598425,
2568
+ "grad_norm": 1.878464206381759,
2569
+ "learning_rate": 3.130710800289416e-07,
2570
+ "loss": 0.315,
2571
+ "step": 1825
2572
+ },
2573
+ {
2574
+ "epoch": 0.9005905511811023,
2575
+ "grad_norm": 1.948299936140257,
2576
+ "learning_rate": 2.982799403953801e-07,
2577
+ "loss": 0.3245,
2578
+ "step": 1830
2579
+ },
2580
+ {
2581
+ "epoch": 0.9030511811023622,
2582
+ "grad_norm": 1.9803613486774017,
2583
+ "learning_rate": 2.8383597018398876e-07,
2584
+ "loss": 0.3106,
2585
+ "step": 1835
2586
+ },
2587
+ {
2588
+ "epoch": 0.905511811023622,
2589
+ "grad_norm": 1.9228830866585032,
2590
+ "learning_rate": 2.697402359203638e-07,
2591
+ "loss": 0.3206,
2592
+ "step": 1840
2593
+ },
2594
+ {
2595
+ "epoch": 0.9079724409448819,
2596
+ "grad_norm": 1.8821637790876162,
2597
+ "learning_rate": 2.559937784167743e-07,
2598
+ "loss": 0.3158,
2599
+ "step": 1845
2600
+ },
2601
+ {
2602
+ "epoch": 0.9104330708661418,
2603
+ "grad_norm": 2.0523446694418364,
2604
+ "learning_rate": 2.4259761269530667e-07,
2605
+ "loss": 0.3182,
2606
+ "step": 1850
2607
+ },
2608
+ {
2609
+ "epoch": 0.9128937007874016,
2610
+ "grad_norm": 1.9067478250870236,
2611
+ "learning_rate": 2.2955272791291894e-07,
2612
+ "loss": 0.33,
2613
+ "step": 1855
2614
+ },
2615
+ {
2616
+ "epoch": 0.9153543307086615,
2617
+ "grad_norm": 1.8161748223299183,
2618
+ "learning_rate": 2.1686008728840301e-07,
2619
+ "loss": 0.3195,
2620
+ "step": 1860
2621
+ },
2622
+ {
2623
+ "epoch": 0.9178149606299213,
2624
+ "grad_norm": 1.9778227776433959,
2625
+ "learning_rate": 2.0452062803126005e-07,
2626
+ "loss": 0.3229,
2627
+ "step": 1865
2628
+ },
2629
+ {
2630
+ "epoch": 0.9202755905511811,
2631
+ "grad_norm": 1.8169343313243027,
2632
+ "learning_rate": 1.9253526127249787e-07,
2633
+ "loss": 0.328,
2634
+ "step": 1870
2635
+ },
2636
+ {
2637
+ "epoch": 0.922736220472441,
2638
+ "grad_norm": 1.9674779916821903,
2639
+ "learning_rate": 1.8090487199735663e-07,
2640
+ "loss": 0.3235,
2641
+ "step": 1875
2642
+ },
2643
+ {
2644
+ "epoch": 0.9251968503937008,
2645
+ "grad_norm": 2.066617055366464,
2646
+ "learning_rate": 1.6963031897995863e-07,
2647
+ "loss": 0.3216,
2648
+ "step": 1880
2649
+ },
2650
+ {
2651
+ "epoch": 0.9276574803149606,
2652
+ "grad_norm": 1.9662299527781584,
2653
+ "learning_rate": 1.5871243471990372e-07,
2654
+ "loss": 0.3279,
2655
+ "step": 1885
2656
+ },
2657
+ {
2658
+ "epoch": 0.9301181102362205,
2659
+ "grad_norm": 2.0282199981854414,
2660
+ "learning_rate": 1.4815202538079e-07,
2661
+ "loss": 0.314,
2662
+ "step": 1890
2663
+ },
2664
+ {
2665
+ "epoch": 0.9325787401574803,
2666
+ "grad_norm": 1.9766928164218986,
2667
+ "learning_rate": 1.379498707306942e-07,
2668
+ "loss": 0.3152,
2669
+ "step": 1895
2670
+ },
2671
+ {
2672
+ "epoch": 0.9350393700787402,
2673
+ "grad_norm": 1.8773781832541783,
2674
+ "learning_rate": 1.28106724084594e-07,
2675
+ "loss": 0.3286,
2676
+ "step": 1900
2677
+ },
2678
+ {
2679
+ "epoch": 0.9375,
2680
+ "grad_norm": 1.9756880092340237,
2681
+ "learning_rate": 1.1862331224873902e-07,
2682
+ "loss": 0.3211,
2683
+ "step": 1905
2684
+ },
2685
+ {
2686
+ "epoch": 0.9399606299212598,
2687
+ "grad_norm": 1.946646764579541,
2688
+ "learning_rate": 1.0950033546699213e-07,
2689
+ "loss": 0.3243,
2690
+ "step": 1910
2691
+ },
2692
+ {
2693
+ "epoch": 0.9424212598425197,
2694
+ "grad_norm": 1.8898884090335948,
2695
+ "learning_rate": 1.0073846736911697e-07,
2696
+ "loss": 0.3274,
2697
+ "step": 1915
2698
+ },
2699
+ {
2700
+ "epoch": 0.9448818897637795,
2701
+ "grad_norm": 1.816110689404615,
2702
+ "learning_rate": 9.233835492104326e-08,
2703
+ "loss": 0.3157,
2704
+ "step": 1920
2705
+ },
2706
+ {
2707
+ "epoch": 0.9473425196850394,
2708
+ "grad_norm": 1.903238646884656,
2709
+ "learning_rate": 8.430061837709058e-08,
2710
+ "loss": 0.3158,
2711
+ "step": 1925
2712
+ },
2713
+ {
2714
+ "epoch": 0.9498031496062992,
2715
+ "grad_norm": 1.8739160354182305,
2716
+ "learning_rate": 7.662585123417609e-08,
2717
+ "loss": 0.3136,
2718
+ "step": 1930
2719
+ },
2720
+ {
2721
+ "epoch": 0.952263779527559,
2722
+ "grad_norm": 2.015422876061845,
2723
+ "learning_rate": 6.931462018798407e-08,
2724
+ "loss": 0.3274,
2725
+ "step": 1935
2726
+ },
2727
+ {
2728
+ "epoch": 0.9547244094488189,
2729
+ "grad_norm": 1.7724513355973053,
2730
+ "learning_rate": 6.236746509112824e-08,
2731
+ "loss": 0.3288,
2732
+ "step": 1940
2733
+ },
2734
+ {
2735
+ "epoch": 0.9571850393700787,
2736
+ "grad_norm": 1.9490022383605574,
2737
+ "learning_rate": 5.5784898913284754e-08,
2738
+ "loss": 0.3268,
2739
+ "step": 1945
2740
+ },
2741
+ {
2742
+ "epoch": 0.9596456692913385,
2743
+ "grad_norm": 2.00148527557363,
2744
+ "learning_rate": 4.9567407703319247e-08,
2745
+ "loss": 0.327,
2746
+ "step": 1950
2747
+ },
2748
+ {
2749
+ "epoch": 0.9621062992125984,
2750
+ "grad_norm": 1.9582200223538588,
2751
+ "learning_rate": 4.3715450553393765e-08,
2752
+ "loss": 0.3252,
2753
+ "step": 1955
2754
+ },
2755
+ {
2756
+ "epoch": 0.9645669291338582,
2757
+ "grad_norm": 1.837922483605557,
2758
+ "learning_rate": 3.8229459565070074e-08,
2759
+ "loss": 0.31,
2760
+ "step": 1960
2761
+ },
2762
+ {
2763
+ "epoch": 0.9670275590551181,
2764
+ "grad_norm": 1.910793470177359,
2765
+ "learning_rate": 3.3109839817404564e-08,
2766
+ "loss": 0.318,
2767
+ "step": 1965
2768
+ },
2769
+ {
2770
+ "epoch": 0.969488188976378,
2771
+ "grad_norm": 1.8816675788362491,
2772
+ "learning_rate": 2.8356969337035578e-08,
2773
+ "loss": 0.3262,
2774
+ "step": 1970
2775
+ },
2776
+ {
2777
+ "epoch": 0.9719488188976378,
2778
+ "grad_norm": 1.991419593684435,
2779
+ "learning_rate": 2.3971199070271234e-08,
2780
+ "loss": 0.3217,
2781
+ "step": 1975
2782
+ },
2783
+ {
2784
+ "epoch": 0.9744094488188977,
2785
+ "grad_norm": 1.8312406446386904,
2786
+ "learning_rate": 1.99528528571763e-08,
2787
+ "loss": 0.3267,
2788
+ "step": 1980
2789
+ },
2790
+ {
2791
+ "epoch": 0.9768700787401575,
2792
+ "grad_norm": 1.9479093178370912,
2793
+ "learning_rate": 1.6302227407660744e-08,
2794
+ "loss": 0.3209,
2795
+ "step": 1985
2796
+ },
2797
+ {
2798
+ "epoch": 0.9793307086614174,
2799
+ "grad_norm": 1.9735060238944024,
2800
+ "learning_rate": 1.3019592279569503e-08,
2801
+ "loss": 0.3243,
2802
+ "step": 1990
2803
+ },
2804
+ {
2805
+ "epoch": 0.9817913385826772,
2806
+ "grad_norm": 2.043603259800287,
2807
+ "learning_rate": 1.0105189858779507e-08,
2808
+ "loss": 0.323,
2809
+ "step": 1995
2810
+ },
2811
+ {
2812
+ "epoch": 0.984251968503937,
2813
+ "grad_norm": 1.852960962616925,
2814
+ "learning_rate": 7.559235341302872e-09,
2815
+ "loss": 0.322,
2816
+ "step": 2000
2817
+ },
2818
+ {
2819
+ "epoch": 0.9867125984251969,
2820
+ "grad_norm": 1.8539802968962942,
2821
+ "learning_rate": 5.381916717395186e-09,
2822
+ "loss": 0.3222,
2823
+ "step": 2005
2824
+ },
2825
+ {
2826
+ "epoch": 0.9891732283464567,
2827
+ "grad_norm": 1.9807602796212282,
2828
+ "learning_rate": 3.573394757676596e-09,
2829
+ "loss": 0.3203,
2830
+ "step": 2010
2831
+ },
2832
+ {
2833
+ "epoch": 0.9916338582677166,
2834
+ "grad_norm": 1.9586954229212994,
2835
+ "learning_rate": 2.1338030012596488e-09,
2836
+ "loss": 0.3272,
2837
+ "step": 2015
2838
+ },
2839
+ {
2840
+ "epoch": 0.9940944881889764,
2841
+ "grad_norm": 1.966512685382069,
2842
+ "learning_rate": 1.0632477458888401e-09,
2843
+ "loss": 0.3285,
2844
+ "step": 2020
2845
+ },
2846
+ {
2847
+ "epoch": 0.9965551181102362,
2848
+ "grad_norm": 1.8305164111174446,
2849
+ "learning_rate": 3.618080400924484e-10,
2850
+ "loss": 0.3272,
2851
+ "step": 2025
2852
+ },
2853
+ {
2854
+ "epoch": 0.9990157480314961,
2855
+ "grad_norm": 1.8345259182578462,
2856
+ "learning_rate": 2.9535677343872637e-11,
2857
+ "loss": 0.3234,
2858
+ "step": 2030
2859
+ },
2860
+ {
2861
+ "epoch": 1.0,
2862
+ "eval_runtime": 3.3017,
2863
+ "eval_samples_per_second": 3.029,
2864
+ "eval_steps_per_second": 0.909,
2865
+ "step": 2032
2866
+ },
2867
+ {
2868
+ "epoch": 1.0,
2869
+ "step": 2032,
2870
+ "total_flos": 212729730170880.0,
2871
+ "train_loss": 0.4844009231218672,
2872
+ "train_runtime": 18284.3129,
2873
+ "train_samples_per_second": 1.778,
2874
+ "train_steps_per_second": 0.111
2875
+ }
2876
+ ],
2877
+ "logging_steps": 5,
2878
+ "max_steps": 2032,
2879
+ "num_input_tokens_seen": 0,
2880
+ "num_train_epochs": 1,
2881
+ "save_steps": 100,
2882
+ "stateful_callbacks": {
2883
+ "TrainerControl": {
2884
+ "args": {
2885
+ "should_epoch_stop": false,
2886
+ "should_evaluate": false,
2887
+ "should_log": false,
2888
+ "should_save": true,
2889
+ "should_training_stop": true
2890
+ },
2891
+ "attributes": {}
2892
+ }
2893
+ },
2894
+ "total_flos": 212729730170880.0,
2895
+ "train_batch_size": 4,
2896
+ "trial_name": null,
2897
+ "trial_params": null
2898
+ }