terry69 commited on
Commit
60fff1b
1 Parent(s): 95f46ab

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: preference_p0.1_seed42_level2_stylecleanbatch16_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
+ # preference_p0.1_seed42_level2_stylecleanbatch16_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 4.45.1
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": 253768142684160.0,
4
+ "train_loss": 0.5300087753695624,
5
+ "train_runtime": 21368.6318,
6
+ "train_samples": 98881,
7
+ "train_samples_per_second": 1.814,
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": "4.45.1"
6
+ }
runs/Sep27_13-50-34_COE-CS-sv003/events.out.tfevents.1727445412.COE-CS-sv003.923912.0 CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:52170b1a609d1cc61461a97d16cf2bcfb6a4ced9664a2229448554788344e4a5
3
- size 108291
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:f4a6ab66225d932b0f9a6c8fa8f5d1a4d106c1166486c83ce85a2dc3f9c0e60a
3
+ size 108645
train_results.json ADDED
@@ -0,0 +1,9 @@
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "epoch": 1.0,
3
+ "total_flos": 253768142684160.0,
4
+ "train_loss": 0.5300087753695624,
5
+ "train_runtime": 21368.6318,
6
+ "train_samples": 98881,
7
+ "train_samples_per_second": 1.814,
8
+ "train_steps_per_second": 0.113
9
+ }
trainer_state.json ADDED
@@ -0,0 +1,3444 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_metric": null,
3
+ "best_model_checkpoint": null,
4
+ "epoch": 1.0,
5
+ "eval_steps": 500,
6
+ "global_step": 2424,
7
+ "is_hyper_param_search": false,
8
+ "is_local_process_zero": true,
9
+ "is_world_process_zero": true,
10
+ "log_history": [
11
+ {
12
+ "epoch": 0.00041254125412541255,
13
+ "grad_norm": 25.173291317801098,
14
+ "learning_rate": 4.1152263374485605e-08,
15
+ "loss": 1.4315,
16
+ "step": 1
17
+ },
18
+ {
19
+ "epoch": 0.0020627062706270625,
20
+ "grad_norm": 23.244172144374918,
21
+ "learning_rate": 2.05761316872428e-07,
22
+ "loss": 1.4238,
23
+ "step": 5
24
+ },
25
+ {
26
+ "epoch": 0.004125412541254125,
27
+ "grad_norm": 15.407649804349377,
28
+ "learning_rate": 4.11522633744856e-07,
29
+ "loss": 1.4148,
30
+ "step": 10
31
+ },
32
+ {
33
+ "epoch": 0.006188118811881188,
34
+ "grad_norm": 8.402022752616448,
35
+ "learning_rate": 6.17283950617284e-07,
36
+ "loss": 1.278,
37
+ "step": 15
38
+ },
39
+ {
40
+ "epoch": 0.00825082508250825,
41
+ "grad_norm": 11.034069123055462,
42
+ "learning_rate": 8.23045267489712e-07,
43
+ "loss": 1.1772,
44
+ "step": 20
45
+ },
46
+ {
47
+ "epoch": 0.010313531353135313,
48
+ "grad_norm": 4.332735330250593,
49
+ "learning_rate": 1.02880658436214e-06,
50
+ "loss": 1.0531,
51
+ "step": 25
52
+ },
53
+ {
54
+ "epoch": 0.012376237623762377,
55
+ "grad_norm": 3.55215196003044,
56
+ "learning_rate": 1.234567901234568e-06,
57
+ "loss": 0.9881,
58
+ "step": 30
59
+ },
60
+ {
61
+ "epoch": 0.014438943894389438,
62
+ "grad_norm": 3.3491262120808307,
63
+ "learning_rate": 1.440329218106996e-06,
64
+ "loss": 0.9604,
65
+ "step": 35
66
+ },
67
+ {
68
+ "epoch": 0.0165016501650165,
69
+ "grad_norm": 3.022805529228879,
70
+ "learning_rate": 1.646090534979424e-06,
71
+ "loss": 0.9382,
72
+ "step": 40
73
+ },
74
+ {
75
+ "epoch": 0.018564356435643563,
76
+ "grad_norm": 3.068991080972076,
77
+ "learning_rate": 1.8518518518518519e-06,
78
+ "loss": 0.9276,
79
+ "step": 45
80
+ },
81
+ {
82
+ "epoch": 0.020627062706270627,
83
+ "grad_norm": 3.1689853717520595,
84
+ "learning_rate": 2.05761316872428e-06,
85
+ "loss": 0.9118,
86
+ "step": 50
87
+ },
88
+ {
89
+ "epoch": 0.02268976897689769,
90
+ "grad_norm": 3.095012272596912,
91
+ "learning_rate": 2.263374485596708e-06,
92
+ "loss": 0.9069,
93
+ "step": 55
94
+ },
95
+ {
96
+ "epoch": 0.024752475247524754,
97
+ "grad_norm": 3.1980712687602972,
98
+ "learning_rate": 2.469135802469136e-06,
99
+ "loss": 0.9114,
100
+ "step": 60
101
+ },
102
+ {
103
+ "epoch": 0.026815181518151814,
104
+ "grad_norm": 3.0048714944711734,
105
+ "learning_rate": 2.674897119341564e-06,
106
+ "loss": 0.8915,
107
+ "step": 65
108
+ },
109
+ {
110
+ "epoch": 0.028877887788778877,
111
+ "grad_norm": 3.2438404533032807,
112
+ "learning_rate": 2.880658436213992e-06,
113
+ "loss": 0.9011,
114
+ "step": 70
115
+ },
116
+ {
117
+ "epoch": 0.03094059405940594,
118
+ "grad_norm": 3.0946505652248786,
119
+ "learning_rate": 3.08641975308642e-06,
120
+ "loss": 0.8911,
121
+ "step": 75
122
+ },
123
+ {
124
+ "epoch": 0.033003300330033,
125
+ "grad_norm": 2.976460498240933,
126
+ "learning_rate": 3.292181069958848e-06,
127
+ "loss": 0.8905,
128
+ "step": 80
129
+ },
130
+ {
131
+ "epoch": 0.03506600660066007,
132
+ "grad_norm": 2.964486117776111,
133
+ "learning_rate": 3.4979423868312762e-06,
134
+ "loss": 0.8711,
135
+ "step": 85
136
+ },
137
+ {
138
+ "epoch": 0.03712871287128713,
139
+ "grad_norm": 3.1472293237072018,
140
+ "learning_rate": 3.7037037037037037e-06,
141
+ "loss": 0.8776,
142
+ "step": 90
143
+ },
144
+ {
145
+ "epoch": 0.039191419141914194,
146
+ "grad_norm": 2.9491584240395547,
147
+ "learning_rate": 3.909465020576132e-06,
148
+ "loss": 0.8731,
149
+ "step": 95
150
+ },
151
+ {
152
+ "epoch": 0.041254125412541254,
153
+ "grad_norm": 3.1222334377001575,
154
+ "learning_rate": 4.11522633744856e-06,
155
+ "loss": 0.8673,
156
+ "step": 100
157
+ },
158
+ {
159
+ "epoch": 0.043316831683168314,
160
+ "grad_norm": 3.1224801634532744,
161
+ "learning_rate": 4.3209876543209875e-06,
162
+ "loss": 0.8568,
163
+ "step": 105
164
+ },
165
+ {
166
+ "epoch": 0.04537953795379538,
167
+ "grad_norm": 3.1837554638007255,
168
+ "learning_rate": 4.526748971193416e-06,
169
+ "loss": 0.8641,
170
+ "step": 110
171
+ },
172
+ {
173
+ "epoch": 0.04744224422442244,
174
+ "grad_norm": 3.1279379452438336,
175
+ "learning_rate": 4.732510288065844e-06,
176
+ "loss": 0.8654,
177
+ "step": 115
178
+ },
179
+ {
180
+ "epoch": 0.04950495049504951,
181
+ "grad_norm": 3.165713359110299,
182
+ "learning_rate": 4.938271604938272e-06,
183
+ "loss": 0.8593,
184
+ "step": 120
185
+ },
186
+ {
187
+ "epoch": 0.05156765676567657,
188
+ "grad_norm": 2.9608774490517282,
189
+ "learning_rate": 5.1440329218107e-06,
190
+ "loss": 0.8548,
191
+ "step": 125
192
+ },
193
+ {
194
+ "epoch": 0.05363036303630363,
195
+ "grad_norm": 2.9604320712666485,
196
+ "learning_rate": 5.349794238683128e-06,
197
+ "loss": 0.8506,
198
+ "step": 130
199
+ },
200
+ {
201
+ "epoch": 0.055693069306930694,
202
+ "grad_norm": 3.0433993058342765,
203
+ "learning_rate": 5.555555555555557e-06,
204
+ "loss": 0.8439,
205
+ "step": 135
206
+ },
207
+ {
208
+ "epoch": 0.057755775577557754,
209
+ "grad_norm": 3.3372432183258036,
210
+ "learning_rate": 5.761316872427984e-06,
211
+ "loss": 0.8352,
212
+ "step": 140
213
+ },
214
+ {
215
+ "epoch": 0.05981848184818482,
216
+ "grad_norm": 3.166742755838131,
217
+ "learning_rate": 5.967078189300412e-06,
218
+ "loss": 0.8584,
219
+ "step": 145
220
+ },
221
+ {
222
+ "epoch": 0.06188118811881188,
223
+ "grad_norm": 3.2086952524615326,
224
+ "learning_rate": 6.17283950617284e-06,
225
+ "loss": 0.825,
226
+ "step": 150
227
+ },
228
+ {
229
+ "epoch": 0.06394389438943894,
230
+ "grad_norm": 3.4577671140527557,
231
+ "learning_rate": 6.3786008230452675e-06,
232
+ "loss": 0.824,
233
+ "step": 155
234
+ },
235
+ {
236
+ "epoch": 0.066006600660066,
237
+ "grad_norm": 3.3939747315335613,
238
+ "learning_rate": 6.584362139917696e-06,
239
+ "loss": 0.8412,
240
+ "step": 160
241
+ },
242
+ {
243
+ "epoch": 0.06806930693069307,
244
+ "grad_norm": 3.1642303616218195,
245
+ "learning_rate": 6.790123456790124e-06,
246
+ "loss": 0.8372,
247
+ "step": 165
248
+ },
249
+ {
250
+ "epoch": 0.07013201320132013,
251
+ "grad_norm": 3.9078331437297975,
252
+ "learning_rate": 6.9958847736625525e-06,
253
+ "loss": 0.8393,
254
+ "step": 170
255
+ },
256
+ {
257
+ "epoch": 0.0721947194719472,
258
+ "grad_norm": 3.086012476362717,
259
+ "learning_rate": 7.201646090534981e-06,
260
+ "loss": 0.8549,
261
+ "step": 175
262
+ },
263
+ {
264
+ "epoch": 0.07425742574257425,
265
+ "grad_norm": 3.163457682817171,
266
+ "learning_rate": 7.4074074074074075e-06,
267
+ "loss": 0.8319,
268
+ "step": 180
269
+ },
270
+ {
271
+ "epoch": 0.07632013201320131,
272
+ "grad_norm": 3.1200124817434607,
273
+ "learning_rate": 7.613168724279836e-06,
274
+ "loss": 0.8229,
275
+ "step": 185
276
+ },
277
+ {
278
+ "epoch": 0.07838283828382839,
279
+ "grad_norm": 3.010419511128134,
280
+ "learning_rate": 7.818930041152263e-06,
281
+ "loss": 0.8329,
282
+ "step": 190
283
+ },
284
+ {
285
+ "epoch": 0.08044554455445545,
286
+ "grad_norm": 3.0362752294117317,
287
+ "learning_rate": 8.024691358024692e-06,
288
+ "loss": 0.8288,
289
+ "step": 195
290
+ },
291
+ {
292
+ "epoch": 0.08250825082508251,
293
+ "grad_norm": 3.1939826585064997,
294
+ "learning_rate": 8.23045267489712e-06,
295
+ "loss": 0.8134,
296
+ "step": 200
297
+ },
298
+ {
299
+ "epoch": 0.08457095709570957,
300
+ "grad_norm": 2.9811252237712056,
301
+ "learning_rate": 8.43621399176955e-06,
302
+ "loss": 0.8293,
303
+ "step": 205
304
+ },
305
+ {
306
+ "epoch": 0.08663366336633663,
307
+ "grad_norm": 3.2289018691242264,
308
+ "learning_rate": 8.641975308641975e-06,
309
+ "loss": 0.8108,
310
+ "step": 210
311
+ },
312
+ {
313
+ "epoch": 0.0886963696369637,
314
+ "grad_norm": 2.920715386036233,
315
+ "learning_rate": 8.847736625514404e-06,
316
+ "loss": 0.8199,
317
+ "step": 215
318
+ },
319
+ {
320
+ "epoch": 0.09075907590759076,
321
+ "grad_norm": 2.8888271523586835,
322
+ "learning_rate": 9.053497942386832e-06,
323
+ "loss": 0.831,
324
+ "step": 220
325
+ },
326
+ {
327
+ "epoch": 0.09282178217821782,
328
+ "grad_norm": 2.8414889865764312,
329
+ "learning_rate": 9.25925925925926e-06,
330
+ "loss": 0.8188,
331
+ "step": 225
332
+ },
333
+ {
334
+ "epoch": 0.09488448844884488,
335
+ "grad_norm": 3.3784549124194743,
336
+ "learning_rate": 9.465020576131688e-06,
337
+ "loss": 0.8083,
338
+ "step": 230
339
+ },
340
+ {
341
+ "epoch": 0.09694719471947194,
342
+ "grad_norm": 3.2323221908817996,
343
+ "learning_rate": 9.670781893004116e-06,
344
+ "loss": 0.8186,
345
+ "step": 235
346
+ },
347
+ {
348
+ "epoch": 0.09900990099009901,
349
+ "grad_norm": 2.8554149805575846,
350
+ "learning_rate": 9.876543209876543e-06,
351
+ "loss": 0.8035,
352
+ "step": 240
353
+ },
354
+ {
355
+ "epoch": 0.10107260726072607,
356
+ "grad_norm": 3.027573880753027,
357
+ "learning_rate": 9.9999792514327e-06,
358
+ "loss": 0.8091,
359
+ "step": 245
360
+ },
361
+ {
362
+ "epoch": 0.10313531353135313,
363
+ "grad_norm": 3.0804491286944145,
364
+ "learning_rate": 9.999745832028163e-06,
365
+ "loss": 0.7989,
366
+ "step": 250
367
+ },
368
+ {
369
+ "epoch": 0.1051980198019802,
370
+ "grad_norm": 3.2290033265195848,
371
+ "learning_rate": 9.999253069658074e-06,
372
+ "loss": 0.8178,
373
+ "step": 255
374
+ },
375
+ {
376
+ "epoch": 0.10726072607260725,
377
+ "grad_norm": 3.4736769564268233,
378
+ "learning_rate": 9.998500989882627e-06,
379
+ "loss": 0.8178,
380
+ "step": 260
381
+ },
382
+ {
383
+ "epoch": 0.10932343234323433,
384
+ "grad_norm": 3.0428405529671263,
385
+ "learning_rate": 9.997489631713117e-06,
386
+ "loss": 0.8006,
387
+ "step": 265
388
+ },
389
+ {
390
+ "epoch": 0.11138613861386139,
391
+ "grad_norm": 2.8688354965301426,
392
+ "learning_rate": 9.996219047609943e-06,
393
+ "loss": 0.7866,
394
+ "step": 270
395
+ },
396
+ {
397
+ "epoch": 0.11344884488448845,
398
+ "grad_norm": 3.0556606109594644,
399
+ "learning_rate": 9.99468930347986e-06,
400
+ "loss": 0.8174,
401
+ "step": 275
402
+ },
403
+ {
404
+ "epoch": 0.11551155115511551,
405
+ "grad_norm": 3.0647994656665603,
406
+ "learning_rate": 9.99290047867258e-06,
407
+ "loss": 0.8044,
408
+ "step": 280
409
+ },
410
+ {
411
+ "epoch": 0.11757425742574257,
412
+ "grad_norm": 2.856082139020889,
413
+ "learning_rate": 9.990852665976648e-06,
414
+ "loss": 0.7871,
415
+ "step": 285
416
+ },
417
+ {
418
+ "epoch": 0.11963696369636964,
419
+ "grad_norm": 2.894869532549818,
420
+ "learning_rate": 9.98854597161462e-06,
421
+ "loss": 0.7967,
422
+ "step": 290
423
+ },
424
+ {
425
+ "epoch": 0.1216996699669967,
426
+ "grad_norm": 2.9795368246449483,
427
+ "learning_rate": 9.98598051523758e-06,
428
+ "loss": 0.7987,
429
+ "step": 295
430
+ },
431
+ {
432
+ "epoch": 0.12376237623762376,
433
+ "grad_norm": 3.16205487552237,
434
+ "learning_rate": 9.983156429918895e-06,
435
+ "loss": 0.7675,
436
+ "step": 300
437
+ },
438
+ {
439
+ "epoch": 0.12582508250825084,
440
+ "grad_norm": 3.245576749246031,
441
+ "learning_rate": 9.98007386214735e-06,
442
+ "loss": 0.7915,
443
+ "step": 305
444
+ },
445
+ {
446
+ "epoch": 0.12788778877887788,
447
+ "grad_norm": 3.025661649853723,
448
+ "learning_rate": 9.976732971819526e-06,
449
+ "loss": 0.7895,
450
+ "step": 310
451
+ },
452
+ {
453
+ "epoch": 0.12995049504950495,
454
+ "grad_norm": 2.843144690280715,
455
+ "learning_rate": 9.973133932231514e-06,
456
+ "loss": 0.7782,
457
+ "step": 315
458
+ },
459
+ {
460
+ "epoch": 0.132013201320132,
461
+ "grad_norm": 3.105956078671983,
462
+ "learning_rate": 9.96927693006992e-06,
463
+ "loss": 0.7754,
464
+ "step": 320
465
+ },
466
+ {
467
+ "epoch": 0.13407590759075907,
468
+ "grad_norm": 2.7999853476012877,
469
+ "learning_rate": 9.965162165402194e-06,
470
+ "loss": 0.7652,
471
+ "step": 325
472
+ },
473
+ {
474
+ "epoch": 0.13613861386138615,
475
+ "grad_norm": 2.8609256056169987,
476
+ "learning_rate": 9.960789851666237e-06,
477
+ "loss": 0.7786,
478
+ "step": 330
479
+ },
480
+ {
481
+ "epoch": 0.1382013201320132,
482
+ "grad_norm": 3.1630409852297454,
483
+ "learning_rate": 9.956160215659342e-06,
484
+ "loss": 0.7828,
485
+ "step": 335
486
+ },
487
+ {
488
+ "epoch": 0.14026402640264027,
489
+ "grad_norm": 2.795363964969132,
490
+ "learning_rate": 9.951273497526423e-06,
491
+ "loss": 0.7686,
492
+ "step": 340
493
+ },
494
+ {
495
+ "epoch": 0.14232673267326731,
496
+ "grad_norm": 2.9053928333152723,
497
+ "learning_rate": 9.94612995074756e-06,
498
+ "loss": 0.7635,
499
+ "step": 345
500
+ },
501
+ {
502
+ "epoch": 0.1443894389438944,
503
+ "grad_norm": 2.7319984337656478,
504
+ "learning_rate": 9.94072984212485e-06,
505
+ "loss": 0.7396,
506
+ "step": 350
507
+ },
508
+ {
509
+ "epoch": 0.14645214521452146,
510
+ "grad_norm": 2.90922485756749,
511
+ "learning_rate": 9.935073451768567e-06,
512
+ "loss": 0.7675,
513
+ "step": 355
514
+ },
515
+ {
516
+ "epoch": 0.1485148514851485,
517
+ "grad_norm": 2.7539644778310852,
518
+ "learning_rate": 9.929161073082636e-06,
519
+ "loss": 0.7559,
520
+ "step": 360
521
+ },
522
+ {
523
+ "epoch": 0.15057755775577558,
524
+ "grad_norm": 2.8959145263782644,
525
+ "learning_rate": 9.922993012749413e-06,
526
+ "loss": 0.748,
527
+ "step": 365
528
+ },
529
+ {
530
+ "epoch": 0.15264026402640263,
531
+ "grad_norm": 2.8562652818653516,
532
+ "learning_rate": 9.916569590713775e-06,
533
+ "loss": 0.7412,
534
+ "step": 370
535
+ },
536
+ {
537
+ "epoch": 0.1547029702970297,
538
+ "grad_norm": 2.860687978591301,
539
+ "learning_rate": 9.90989114016652e-06,
540
+ "loss": 0.7648,
541
+ "step": 375
542
+ },
543
+ {
544
+ "epoch": 0.15676567656765678,
545
+ "grad_norm": 2.7743547846726995,
546
+ "learning_rate": 9.902958007527092e-06,
547
+ "loss": 0.7469,
548
+ "step": 380
549
+ },
550
+ {
551
+ "epoch": 0.15882838283828382,
552
+ "grad_norm": 2.933130436544695,
553
+ "learning_rate": 9.89577055242561e-06,
554
+ "loss": 0.7415,
555
+ "step": 385
556
+ },
557
+ {
558
+ "epoch": 0.1608910891089109,
559
+ "grad_norm": 2.777976255262721,
560
+ "learning_rate": 9.88832914768421e-06,
561
+ "loss": 0.719,
562
+ "step": 390
563
+ },
564
+ {
565
+ "epoch": 0.16295379537953794,
566
+ "grad_norm": 2.8659385000525983,
567
+ "learning_rate": 9.880634179297706e-06,
568
+ "loss": 0.742,
569
+ "step": 395
570
+ },
571
+ {
572
+ "epoch": 0.16501650165016502,
573
+ "grad_norm": 2.8897535873983418,
574
+ "learning_rate": 9.872686046413575e-06,
575
+ "loss": 0.7346,
576
+ "step": 400
577
+ },
578
+ {
579
+ "epoch": 0.1670792079207921,
580
+ "grad_norm": 2.8576246139096892,
581
+ "learning_rate": 9.864485161311242e-06,
582
+ "loss": 0.7325,
583
+ "step": 405
584
+ },
585
+ {
586
+ "epoch": 0.16914191419141913,
587
+ "grad_norm": 3.1030879684908346,
588
+ "learning_rate": 9.856031949380707e-06,
589
+ "loss": 0.7606,
590
+ "step": 410
591
+ },
592
+ {
593
+ "epoch": 0.1712046204620462,
594
+ "grad_norm": 2.713632760138165,
595
+ "learning_rate": 9.847326849100467e-06,
596
+ "loss": 0.7379,
597
+ "step": 415
598
+ },
599
+ {
600
+ "epoch": 0.17326732673267325,
601
+ "grad_norm": 2.80346541082337,
602
+ "learning_rate": 9.838370312014783e-06,
603
+ "loss": 0.7381,
604
+ "step": 420
605
+ },
606
+ {
607
+ "epoch": 0.17533003300330033,
608
+ "grad_norm": 3.200752732606346,
609
+ "learning_rate": 9.829162802710246e-06,
610
+ "loss": 0.7328,
611
+ "step": 425
612
+ },
613
+ {
614
+ "epoch": 0.1773927392739274,
615
+ "grad_norm": 3.1792821336770567,
616
+ "learning_rate": 9.819704798791691e-06,
617
+ "loss": 0.7305,
618
+ "step": 430
619
+ },
620
+ {
621
+ "epoch": 0.17945544554455445,
622
+ "grad_norm": 2.8356276160053424,
623
+ "learning_rate": 9.80999679085741e-06,
624
+ "loss": 0.714,
625
+ "step": 435
626
+ },
627
+ {
628
+ "epoch": 0.18151815181518152,
629
+ "grad_norm": 2.6413041173544043,
630
+ "learning_rate": 9.800039282473719e-06,
631
+ "loss": 0.735,
632
+ "step": 440
633
+ },
634
+ {
635
+ "epoch": 0.18358085808580857,
636
+ "grad_norm": 2.9983638727309856,
637
+ "learning_rate": 9.789832790148822e-06,
638
+ "loss": 0.7148,
639
+ "step": 445
640
+ },
641
+ {
642
+ "epoch": 0.18564356435643564,
643
+ "grad_norm": 2.995170348181315,
644
+ "learning_rate": 9.77937784330603e-06,
645
+ "loss": 0.7137,
646
+ "step": 450
647
+ },
648
+ {
649
+ "epoch": 0.18770627062706272,
650
+ "grad_norm": 3.0031426949210456,
651
+ "learning_rate": 9.768674984256292e-06,
652
+ "loss": 0.7334,
653
+ "step": 455
654
+ },
655
+ {
656
+ "epoch": 0.18976897689768976,
657
+ "grad_norm": 2.789041969236007,
658
+ "learning_rate": 9.757724768170074e-06,
659
+ "loss": 0.7161,
660
+ "step": 460
661
+ },
662
+ {
663
+ "epoch": 0.19183168316831684,
664
+ "grad_norm": 2.65991213841404,
665
+ "learning_rate": 9.74652776304855e-06,
666
+ "loss": 0.709,
667
+ "step": 465
668
+ },
669
+ {
670
+ "epoch": 0.19389438943894388,
671
+ "grad_norm": 2.7707492384242007,
672
+ "learning_rate": 9.73508454969415e-06,
673
+ "loss": 0.7162,
674
+ "step": 470
675
+ },
676
+ {
677
+ "epoch": 0.19595709570957096,
678
+ "grad_norm": 2.6804566008309654,
679
+ "learning_rate": 9.723395721680418e-06,
680
+ "loss": 0.7173,
681
+ "step": 475
682
+ },
683
+ {
684
+ "epoch": 0.19801980198019803,
685
+ "grad_norm": 2.8279805454985545,
686
+ "learning_rate": 9.711461885321247e-06,
687
+ "loss": 0.6969,
688
+ "step": 480
689
+ },
690
+ {
691
+ "epoch": 0.20008250825082508,
692
+ "grad_norm": 3.1208245898107045,
693
+ "learning_rate": 9.699283659639402e-06,
694
+ "loss": 0.7091,
695
+ "step": 485
696
+ },
697
+ {
698
+ "epoch": 0.20214521452145215,
699
+ "grad_norm": 2.6589644032154363,
700
+ "learning_rate": 9.68686167633443e-06,
701
+ "loss": 0.6952,
702
+ "step": 490
703
+ },
704
+ {
705
+ "epoch": 0.2042079207920792,
706
+ "grad_norm": 2.9084930227852137,
707
+ "learning_rate": 9.67419657974988e-06,
708
+ "loss": 0.7134,
709
+ "step": 495
710
+ },
711
+ {
712
+ "epoch": 0.20627062706270627,
713
+ "grad_norm": 2.8303925657999853,
714
+ "learning_rate": 9.661289026839889e-06,
715
+ "loss": 0.6975,
716
+ "step": 500
717
+ },
718
+ {
719
+ "epoch": 0.20833333333333334,
720
+ "grad_norm": 2.784037458254395,
721
+ "learning_rate": 9.648139687135106e-06,
722
+ "loss": 0.6979,
723
+ "step": 505
724
+ },
725
+ {
726
+ "epoch": 0.2103960396039604,
727
+ "grad_norm": 2.7696913715189897,
728
+ "learning_rate": 9.634749242707948e-06,
729
+ "loss": 0.6733,
730
+ "step": 510
731
+ },
732
+ {
733
+ "epoch": 0.21245874587458746,
734
+ "grad_norm": 2.9247340254888545,
735
+ "learning_rate": 9.62111838813724e-06,
736
+ "loss": 0.6945,
737
+ "step": 515
738
+ },
739
+ {
740
+ "epoch": 0.2145214521452145,
741
+ "grad_norm": 2.719893437871808,
742
+ "learning_rate": 9.607247830472174e-06,
743
+ "loss": 0.6761,
744
+ "step": 520
745
+ },
746
+ {
747
+ "epoch": 0.21658415841584158,
748
+ "grad_norm": 2.8726720120792386,
749
+ "learning_rate": 9.593138289195634e-06,
750
+ "loss": 0.6913,
751
+ "step": 525
752
+ },
753
+ {
754
+ "epoch": 0.21864686468646866,
755
+ "grad_norm": 2.781250153342701,
756
+ "learning_rate": 9.578790496186879e-06,
757
+ "loss": 0.6903,
758
+ "step": 530
759
+ },
760
+ {
761
+ "epoch": 0.2207095709570957,
762
+ "grad_norm": 2.7701813874151244,
763
+ "learning_rate": 9.56420519568358e-06,
764
+ "loss": 0.6831,
765
+ "step": 535
766
+ },
767
+ {
768
+ "epoch": 0.22277227722772278,
769
+ "grad_norm": 2.7057701780207983,
770
+ "learning_rate": 9.549383144243213e-06,
771
+ "loss": 0.6956,
772
+ "step": 540
773
+ },
774
+ {
775
+ "epoch": 0.22483498349834982,
776
+ "grad_norm": 2.7687957358970112,
777
+ "learning_rate": 9.534325110703814e-06,
778
+ "loss": 0.6709,
779
+ "step": 545
780
+ },
781
+ {
782
+ "epoch": 0.2268976897689769,
783
+ "grad_norm": 2.7158766270699983,
784
+ "learning_rate": 9.519031876144106e-06,
785
+ "loss": 0.6608,
786
+ "step": 550
787
+ },
788
+ {
789
+ "epoch": 0.22896039603960397,
790
+ "grad_norm": 2.7406561041756095,
791
+ "learning_rate": 9.503504233842973e-06,
792
+ "loss": 0.6857,
793
+ "step": 555
794
+ },
795
+ {
796
+ "epoch": 0.23102310231023102,
797
+ "grad_norm": 2.7133954058150525,
798
+ "learning_rate": 9.487742989238318e-06,
799
+ "loss": 0.6723,
800
+ "step": 560
801
+ },
802
+ {
803
+ "epoch": 0.2330858085808581,
804
+ "grad_norm": 2.7907877653122797,
805
+ "learning_rate": 9.471748959885284e-06,
806
+ "loss": 0.6809,
807
+ "step": 565
808
+ },
809
+ {
810
+ "epoch": 0.23514851485148514,
811
+ "grad_norm": 2.8110823806166922,
812
+ "learning_rate": 9.455522975413846e-06,
813
+ "loss": 0.6695,
814
+ "step": 570
815
+ },
816
+ {
817
+ "epoch": 0.2372112211221122,
818
+ "grad_norm": 2.9142519407957543,
819
+ "learning_rate": 9.439065877485774e-06,
820
+ "loss": 0.6506,
821
+ "step": 575
822
+ },
823
+ {
824
+ "epoch": 0.23927392739273928,
825
+ "grad_norm": 2.7148544728300195,
826
+ "learning_rate": 9.422378519750978e-06,
827
+ "loss": 0.6499,
828
+ "step": 580
829
+ },
830
+ {
831
+ "epoch": 0.24133663366336633,
832
+ "grad_norm": 2.713997914652474,
833
+ "learning_rate": 9.40546176780323e-06,
834
+ "loss": 0.6525,
835
+ "step": 585
836
+ },
837
+ {
838
+ "epoch": 0.2433993399339934,
839
+ "grad_norm": 2.692751552453192,
840
+ "learning_rate": 9.388316499135259e-06,
841
+ "loss": 0.6496,
842
+ "step": 590
843
+ },
844
+ {
845
+ "epoch": 0.24546204620462045,
846
+ "grad_norm": 2.6802330864864854,
847
+ "learning_rate": 9.370943603093235e-06,
848
+ "loss": 0.6417,
849
+ "step": 595
850
+ },
851
+ {
852
+ "epoch": 0.24752475247524752,
853
+ "grad_norm": 2.8231163075907437,
854
+ "learning_rate": 9.353343980830644e-06,
855
+ "loss": 0.652,
856
+ "step": 600
857
+ },
858
+ {
859
+ "epoch": 0.2495874587458746,
860
+ "grad_norm": 2.667983921285145,
861
+ "learning_rate": 9.33551854526154e-06,
862
+ "loss": 0.6516,
863
+ "step": 605
864
+ },
865
+ {
866
+ "epoch": 0.25165016501650167,
867
+ "grad_norm": 2.7364796827272038,
868
+ "learning_rate": 9.31746822101319e-06,
869
+ "loss": 0.6402,
870
+ "step": 610
871
+ },
872
+ {
873
+ "epoch": 0.2537128712871287,
874
+ "grad_norm": 2.6289768861588256,
875
+ "learning_rate": 9.299193944378112e-06,
876
+ "loss": 0.651,
877
+ "step": 615
878
+ },
879
+ {
880
+ "epoch": 0.25577557755775576,
881
+ "grad_norm": 3.115748743305885,
882
+ "learning_rate": 9.280696663265512e-06,
883
+ "loss": 0.6409,
884
+ "step": 620
885
+ },
886
+ {
887
+ "epoch": 0.25783828382838286,
888
+ "grad_norm": 2.7801532039806727,
889
+ "learning_rate": 9.261977337152107e-06,
890
+ "loss": 0.6232,
891
+ "step": 625
892
+ },
893
+ {
894
+ "epoch": 0.2599009900990099,
895
+ "grad_norm": 2.8268570410512415,
896
+ "learning_rate": 9.243036937032373e-06,
897
+ "loss": 0.652,
898
+ "step": 630
899
+ },
900
+ {
901
+ "epoch": 0.26196369636963696,
902
+ "grad_norm": 2.734252985059684,
903
+ "learning_rate": 9.223876445368153e-06,
904
+ "loss": 0.6408,
905
+ "step": 635
906
+ },
907
+ {
908
+ "epoch": 0.264026402640264,
909
+ "grad_norm": 2.8594124607696862,
910
+ "learning_rate": 9.204496856037718e-06,
911
+ "loss": 0.6608,
912
+ "step": 640
913
+ },
914
+ {
915
+ "epoch": 0.2660891089108911,
916
+ "grad_norm": 2.7632847146041937,
917
+ "learning_rate": 9.184899174284201e-06,
918
+ "loss": 0.6435,
919
+ "step": 645
920
+ },
921
+ {
922
+ "epoch": 0.26815181518151815,
923
+ "grad_norm": 2.7892742600413056,
924
+ "learning_rate": 9.16508441666346e-06,
925
+ "loss": 0.6382,
926
+ "step": 650
927
+ },
928
+ {
929
+ "epoch": 0.2702145214521452,
930
+ "grad_norm": 2.9224506916430926,
931
+ "learning_rate": 9.14505361099134e-06,
932
+ "loss": 0.6249,
933
+ "step": 655
934
+ },
935
+ {
936
+ "epoch": 0.2722772277227723,
937
+ "grad_norm": 2.916964064023966,
938
+ "learning_rate": 9.124807796290366e-06,
939
+ "loss": 0.6284,
940
+ "step": 660
941
+ },
942
+ {
943
+ "epoch": 0.27433993399339934,
944
+ "grad_norm": 2.7731836971623953,
945
+ "learning_rate": 9.104348022735853e-06,
946
+ "loss": 0.633,
947
+ "step": 665
948
+ },
949
+ {
950
+ "epoch": 0.2764026402640264,
951
+ "grad_norm": 2.7535471272900196,
952
+ "learning_rate": 9.083675351601417e-06,
953
+ "loss": 0.6194,
954
+ "step": 670
955
+ },
956
+ {
957
+ "epoch": 0.2784653465346535,
958
+ "grad_norm": 2.856389390689046,
959
+ "learning_rate": 9.062790855203932e-06,
960
+ "loss": 0.6376,
961
+ "step": 675
962
+ },
963
+ {
964
+ "epoch": 0.28052805280528054,
965
+ "grad_norm": 2.9038867407258224,
966
+ "learning_rate": 9.041695616847915e-06,
967
+ "loss": 0.6263,
968
+ "step": 680
969
+ },
970
+ {
971
+ "epoch": 0.2825907590759076,
972
+ "grad_norm": 2.5804402002125415,
973
+ "learning_rate": 9.020390730769324e-06,
974
+ "loss": 0.6393,
975
+ "step": 685
976
+ },
977
+ {
978
+ "epoch": 0.28465346534653463,
979
+ "grad_norm": 2.632496010078948,
980
+ "learning_rate": 8.998877302078803e-06,
981
+ "loss": 0.6076,
982
+ "step": 690
983
+ },
984
+ {
985
+ "epoch": 0.28671617161716173,
986
+ "grad_norm": 4.356850125546882,
987
+ "learning_rate": 8.97715644670436e-06,
988
+ "loss": 0.6133,
989
+ "step": 695
990
+ },
991
+ {
992
+ "epoch": 0.2887788778877888,
993
+ "grad_norm": 2.559920441209793,
994
+ "learning_rate": 8.955229291333473e-06,
995
+ "loss": 0.6167,
996
+ "step": 700
997
+ },
998
+ {
999
+ "epoch": 0.2908415841584158,
1000
+ "grad_norm": 2.7757209022740823,
1001
+ "learning_rate": 8.933096973354665e-06,
1002
+ "loss": 0.6171,
1003
+ "step": 705
1004
+ },
1005
+ {
1006
+ "epoch": 0.2929042904290429,
1007
+ "grad_norm": 2.673673023680112,
1008
+ "learning_rate": 8.910760640798487e-06,
1009
+ "loss": 0.6142,
1010
+ "step": 710
1011
+ },
1012
+ {
1013
+ "epoch": 0.29496699669966997,
1014
+ "grad_norm": 2.8111377522291856,
1015
+ "learning_rate": 8.88822145227798e-06,
1016
+ "loss": 0.609,
1017
+ "step": 715
1018
+ },
1019
+ {
1020
+ "epoch": 0.297029702970297,
1021
+ "grad_norm": 2.6340814150599017,
1022
+ "learning_rate": 8.865480576928578e-06,
1023
+ "loss": 0.6205,
1024
+ "step": 720
1025
+ },
1026
+ {
1027
+ "epoch": 0.2990924092409241,
1028
+ "grad_norm": 2.6824532363700566,
1029
+ "learning_rate": 8.842539194347448e-06,
1030
+ "loss": 0.5866,
1031
+ "step": 725
1032
+ },
1033
+ {
1034
+ "epoch": 0.30115511551155116,
1035
+ "grad_norm": 2.619983825517638,
1036
+ "learning_rate": 8.819398494532328e-06,
1037
+ "loss": 0.6133,
1038
+ "step": 730
1039
+ },
1040
+ {
1041
+ "epoch": 0.3032178217821782,
1042
+ "grad_norm": 2.686298593112456,
1043
+ "learning_rate": 8.796059677819773e-06,
1044
+ "loss": 0.6011,
1045
+ "step": 735
1046
+ },
1047
+ {
1048
+ "epoch": 0.30528052805280526,
1049
+ "grad_norm": 2.9363501744882132,
1050
+ "learning_rate": 8.77252395482291e-06,
1051
+ "loss": 0.6084,
1052
+ "step": 740
1053
+ },
1054
+ {
1055
+ "epoch": 0.30734323432343236,
1056
+ "grad_norm": 2.752287473506256,
1057
+ "learning_rate": 8.748792546368641e-06,
1058
+ "loss": 0.5966,
1059
+ "step": 745
1060
+ },
1061
+ {
1062
+ "epoch": 0.3094059405940594,
1063
+ "grad_norm": 2.71844410518512,
1064
+ "learning_rate": 8.72486668343431e-06,
1065
+ "loss": 0.614,
1066
+ "step": 750
1067
+ },
1068
+ {
1069
+ "epoch": 0.31146864686468645,
1070
+ "grad_norm": 3.145817966285669,
1071
+ "learning_rate": 8.700747607083851e-06,
1072
+ "loss": 0.5957,
1073
+ "step": 755
1074
+ },
1075
+ {
1076
+ "epoch": 0.31353135313531355,
1077
+ "grad_norm": 3.0310831048054303,
1078
+ "learning_rate": 8.676436568403422e-06,
1079
+ "loss": 0.5978,
1080
+ "step": 760
1081
+ },
1082
+ {
1083
+ "epoch": 0.3155940594059406,
1084
+ "grad_norm": 2.701739599075158,
1085
+ "learning_rate": 8.651934828436497e-06,
1086
+ "loss": 0.5923,
1087
+ "step": 765
1088
+ },
1089
+ {
1090
+ "epoch": 0.31765676567656764,
1091
+ "grad_norm": 2.8448862694962944,
1092
+ "learning_rate": 8.627243658118466e-06,
1093
+ "loss": 0.5981,
1094
+ "step": 770
1095
+ },
1096
+ {
1097
+ "epoch": 0.31971947194719474,
1098
+ "grad_norm": 2.719726931310169,
1099
+ "learning_rate": 8.602364338210699e-06,
1100
+ "loss": 0.5937,
1101
+ "step": 775
1102
+ },
1103
+ {
1104
+ "epoch": 0.3217821782178218,
1105
+ "grad_norm": 2.8019550606602652,
1106
+ "learning_rate": 8.57729815923412e-06,
1107
+ "loss": 0.6029,
1108
+ "step": 780
1109
+ },
1110
+ {
1111
+ "epoch": 0.32384488448844884,
1112
+ "grad_norm": 2.503107027258152,
1113
+ "learning_rate": 8.55204642140226e-06,
1114
+ "loss": 0.5952,
1115
+ "step": 785
1116
+ },
1117
+ {
1118
+ "epoch": 0.3259075907590759,
1119
+ "grad_norm": 2.6677149194472762,
1120
+ "learning_rate": 8.52661043455382e-06,
1121
+ "loss": 0.5917,
1122
+ "step": 790
1123
+ },
1124
+ {
1125
+ "epoch": 0.327970297029703,
1126
+ "grad_norm": 2.746672046408305,
1127
+ "learning_rate": 8.50099151808472e-06,
1128
+ "loss": 0.5973,
1129
+ "step": 795
1130
+ },
1131
+ {
1132
+ "epoch": 0.33003300330033003,
1133
+ "grad_norm": 2.6263940638611554,
1134
+ "learning_rate": 8.47519100087967e-06,
1135
+ "loss": 0.5898,
1136
+ "step": 800
1137
+ },
1138
+ {
1139
+ "epoch": 0.3320957095709571,
1140
+ "grad_norm": 2.503813501518845,
1141
+ "learning_rate": 8.449210221243225e-06,
1142
+ "loss": 0.5991,
1143
+ "step": 805
1144
+ },
1145
+ {
1146
+ "epoch": 0.3341584158415842,
1147
+ "grad_norm": 2.4979356769923573,
1148
+ "learning_rate": 8.42305052683038e-06,
1149
+ "loss": 0.5912,
1150
+ "step": 810
1151
+ },
1152
+ {
1153
+ "epoch": 0.3362211221122112,
1154
+ "grad_norm": 2.847043832115963,
1155
+ "learning_rate": 8.39671327457666e-06,
1156
+ "loss": 0.5799,
1157
+ "step": 815
1158
+ },
1159
+ {
1160
+ "epoch": 0.33828382838283827,
1161
+ "grad_norm": 2.7801453739069633,
1162
+ "learning_rate": 8.370199830627732e-06,
1163
+ "loss": 0.5823,
1164
+ "step": 820
1165
+ },
1166
+ {
1167
+ "epoch": 0.34034653465346537,
1168
+ "grad_norm": 2.627346750326928,
1169
+ "learning_rate": 8.343511570268541e-06,
1170
+ "loss": 0.5865,
1171
+ "step": 825
1172
+ },
1173
+ {
1174
+ "epoch": 0.3424092409240924,
1175
+ "grad_norm": 2.8090361015173246,
1176
+ "learning_rate": 8.316649877851977e-06,
1177
+ "loss": 0.568,
1178
+ "step": 830
1179
+ },
1180
+ {
1181
+ "epoch": 0.34447194719471946,
1182
+ "grad_norm": 2.6857687788227107,
1183
+ "learning_rate": 8.289616146727062e-06,
1184
+ "loss": 0.5811,
1185
+ "step": 835
1186
+ },
1187
+ {
1188
+ "epoch": 0.3465346534653465,
1189
+ "grad_norm": 2.7827938400617964,
1190
+ "learning_rate": 8.262411779166681e-06,
1191
+ "loss": 0.5608,
1192
+ "step": 840
1193
+ },
1194
+ {
1195
+ "epoch": 0.3485973597359736,
1196
+ "grad_norm": 2.7509505960907084,
1197
+ "learning_rate": 8.235038186294836e-06,
1198
+ "loss": 0.5888,
1199
+ "step": 845
1200
+ },
1201
+ {
1202
+ "epoch": 0.35066006600660066,
1203
+ "grad_norm": 2.6638572156656584,
1204
+ "learning_rate": 8.207496788013456e-06,
1205
+ "loss": 0.562,
1206
+ "step": 850
1207
+ },
1208
+ {
1209
+ "epoch": 0.3527227722772277,
1210
+ "grad_norm": 2.591282044159344,
1211
+ "learning_rate": 8.179789012928747e-06,
1212
+ "loss": 0.5712,
1213
+ "step": 855
1214
+ },
1215
+ {
1216
+ "epoch": 0.3547854785478548,
1217
+ "grad_norm": 2.5109540424205576,
1218
+ "learning_rate": 8.151916298277078e-06,
1219
+ "loss": 0.553,
1220
+ "step": 860
1221
+ },
1222
+ {
1223
+ "epoch": 0.35684818481848185,
1224
+ "grad_norm": 2.892814594553888,
1225
+ "learning_rate": 8.123880089850438e-06,
1226
+ "loss": 0.5686,
1227
+ "step": 865
1228
+ },
1229
+ {
1230
+ "epoch": 0.3589108910891089,
1231
+ "grad_norm": 2.5359593127713898,
1232
+ "learning_rate": 8.095681841921441e-06,
1233
+ "loss": 0.5454,
1234
+ "step": 870
1235
+ },
1236
+ {
1237
+ "epoch": 0.360973597359736,
1238
+ "grad_norm": 2.6515995361569202,
1239
+ "learning_rate": 8.06732301716789e-06,
1240
+ "loss": 0.562,
1241
+ "step": 875
1242
+ },
1243
+ {
1244
+ "epoch": 0.36303630363036304,
1245
+ "grad_norm": 2.485706938051772,
1246
+ "learning_rate": 8.038805086596903e-06,
1247
+ "loss": 0.5532,
1248
+ "step": 880
1249
+ },
1250
+ {
1251
+ "epoch": 0.3650990099009901,
1252
+ "grad_norm": 2.5183163477684576,
1253
+ "learning_rate": 8.010129529468614e-06,
1254
+ "loss": 0.5666,
1255
+ "step": 885
1256
+ },
1257
+ {
1258
+ "epoch": 0.36716171617161714,
1259
+ "grad_norm": 2.675472695073968,
1260
+ "learning_rate": 7.981297833219435e-06,
1261
+ "loss": 0.5631,
1262
+ "step": 890
1263
+ },
1264
+ {
1265
+ "epoch": 0.36922442244224424,
1266
+ "grad_norm": 2.6653612064334045,
1267
+ "learning_rate": 7.952311493384916e-06,
1268
+ "loss": 0.5681,
1269
+ "step": 895
1270
+ },
1271
+ {
1272
+ "epoch": 0.3712871287128713,
1273
+ "grad_norm": 2.57514354803963,
1274
+ "learning_rate": 7.923172013522153e-06,
1275
+ "loss": 0.5668,
1276
+ "step": 900
1277
+ },
1278
+ {
1279
+ "epoch": 0.37334983498349833,
1280
+ "grad_norm": 2.707762540885758,
1281
+ "learning_rate": 7.893880905131807e-06,
1282
+ "loss": 0.558,
1283
+ "step": 905
1284
+ },
1285
+ {
1286
+ "epoch": 0.37541254125412543,
1287
+ "grad_norm": 2.6980529523902472,
1288
+ "learning_rate": 7.864439687579695e-06,
1289
+ "loss": 0.5447,
1290
+ "step": 910
1291
+ },
1292
+ {
1293
+ "epoch": 0.3774752475247525,
1294
+ "grad_norm": 2.7666172686862267,
1295
+ "learning_rate": 7.834849888017979e-06,
1296
+ "loss": 0.555,
1297
+ "step": 915
1298
+ },
1299
+ {
1300
+ "epoch": 0.3795379537953795,
1301
+ "grad_norm": 2.8852303996201876,
1302
+ "learning_rate": 7.805113041305958e-06,
1303
+ "loss": 0.5381,
1304
+ "step": 920
1305
+ },
1306
+ {
1307
+ "epoch": 0.3816006600660066,
1308
+ "grad_norm": 2.583967025080346,
1309
+ "learning_rate": 7.775230689930445e-06,
1310
+ "loss": 0.5465,
1311
+ "step": 925
1312
+ },
1313
+ {
1314
+ "epoch": 0.38366336633663367,
1315
+ "grad_norm": 2.612939793985183,
1316
+ "learning_rate": 7.745204383925753e-06,
1317
+ "loss": 0.5542,
1318
+ "step": 930
1319
+ },
1320
+ {
1321
+ "epoch": 0.3857260726072607,
1322
+ "grad_norm": 2.779912992420415,
1323
+ "learning_rate": 7.715035680793311e-06,
1324
+ "loss": 0.5527,
1325
+ "step": 935
1326
+ },
1327
+ {
1328
+ "epoch": 0.38778877887788776,
1329
+ "grad_norm": 2.644547318860223,
1330
+ "learning_rate": 7.684726145420853e-06,
1331
+ "loss": 0.5405,
1332
+ "step": 940
1333
+ },
1334
+ {
1335
+ "epoch": 0.38985148514851486,
1336
+ "grad_norm": 2.5007394214042433,
1337
+ "learning_rate": 7.654277350001255e-06,
1338
+ "loss": 0.5635,
1339
+ "step": 945
1340
+ },
1341
+ {
1342
+ "epoch": 0.3919141914191419,
1343
+ "grad_norm": 2.806021602965884,
1344
+ "learning_rate": 7.623690873950988e-06,
1345
+ "loss": 0.5273,
1346
+ "step": 950
1347
+ },
1348
+ {
1349
+ "epoch": 0.39397689768976896,
1350
+ "grad_norm": 2.5596611924464754,
1351
+ "learning_rate": 7.592968303828181e-06,
1352
+ "loss": 0.5275,
1353
+ "step": 955
1354
+ },
1355
+ {
1356
+ "epoch": 0.39603960396039606,
1357
+ "grad_norm": 2.6100310716117994,
1358
+ "learning_rate": 7.5621112332503325e-06,
1359
+ "loss": 0.5296,
1360
+ "step": 960
1361
+ },
1362
+ {
1363
+ "epoch": 0.3981023102310231,
1364
+ "grad_norm": 2.4652574522767017,
1365
+ "learning_rate": 7.531121262811645e-06,
1366
+ "loss": 0.5327,
1367
+ "step": 965
1368
+ },
1369
+ {
1370
+ "epoch": 0.40016501650165015,
1371
+ "grad_norm": 2.5835355525531054,
1372
+ "learning_rate": 7.500000000000001e-06,
1373
+ "loss": 0.5313,
1374
+ "step": 970
1375
+ },
1376
+ {
1377
+ "epoch": 0.40222772277227725,
1378
+ "grad_norm": 2.556870458540024,
1379
+ "learning_rate": 7.468749059113578e-06,
1380
+ "loss": 0.5219,
1381
+ "step": 975
1382
+ },
1383
+ {
1384
+ "epoch": 0.4042904290429043,
1385
+ "grad_norm": 2.6560183770094166,
1386
+ "learning_rate": 7.437370061177116e-06,
1387
+ "loss": 0.529,
1388
+ "step": 980
1389
+ },
1390
+ {
1391
+ "epoch": 0.40635313531353134,
1392
+ "grad_norm": 2.6201898522482683,
1393
+ "learning_rate": 7.40586463385783e-06,
1394
+ "loss": 0.534,
1395
+ "step": 985
1396
+ },
1397
+ {
1398
+ "epoch": 0.4084158415841584,
1399
+ "grad_norm": 2.6803677560952712,
1400
+ "learning_rate": 7.374234411380987e-06,
1401
+ "loss": 0.5249,
1402
+ "step": 990
1403
+ },
1404
+ {
1405
+ "epoch": 0.4104785478547855,
1406
+ "grad_norm": 2.5303749301843586,
1407
+ "learning_rate": 7.342481034445127e-06,
1408
+ "loss": 0.5318,
1409
+ "step": 995
1410
+ },
1411
+ {
1412
+ "epoch": 0.41254125412541254,
1413
+ "grad_norm": 2.5847848779090694,
1414
+ "learning_rate": 7.310606150136965e-06,
1415
+ "loss": 0.5137,
1416
+ "step": 1000
1417
+ },
1418
+ {
1419
+ "epoch": 0.4146039603960396,
1420
+ "grad_norm": 2.624837840218052,
1421
+ "learning_rate": 7.2786114118459564e-06,
1422
+ "loss": 0.5275,
1423
+ "step": 1005
1424
+ },
1425
+ {
1426
+ "epoch": 0.4166666666666667,
1427
+ "grad_norm": 2.7154629758532574,
1428
+ "learning_rate": 7.246498479178523e-06,
1429
+ "loss": 0.5311,
1430
+ "step": 1010
1431
+ },
1432
+ {
1433
+ "epoch": 0.41872937293729373,
1434
+ "grad_norm": 2.7217754848899234,
1435
+ "learning_rate": 7.214269017871981e-06,
1436
+ "loss": 0.5388,
1437
+ "step": 1015
1438
+ },
1439
+ {
1440
+ "epoch": 0.4207920792079208,
1441
+ "grad_norm": 2.8374602937448956,
1442
+ "learning_rate": 7.181924699708127e-06,
1443
+ "loss": 0.5114,
1444
+ "step": 1020
1445
+ },
1446
+ {
1447
+ "epoch": 0.4228547854785479,
1448
+ "grad_norm": 2.669653807310483,
1449
+ "learning_rate": 7.149467202426525e-06,
1450
+ "loss": 0.5162,
1451
+ "step": 1025
1452
+ },
1453
+ {
1454
+ "epoch": 0.4249174917491749,
1455
+ "grad_norm": 2.8259143043104853,
1456
+ "learning_rate": 7.116898209637478e-06,
1457
+ "loss": 0.5207,
1458
+ "step": 1030
1459
+ },
1460
+ {
1461
+ "epoch": 0.42698019801980197,
1462
+ "grad_norm": 2.4487631528416034,
1463
+ "learning_rate": 7.084219410734701e-06,
1464
+ "loss": 0.5239,
1465
+ "step": 1035
1466
+ },
1467
+ {
1468
+ "epoch": 0.429042904290429,
1469
+ "grad_norm": 2.5467769274691157,
1470
+ "learning_rate": 7.051432500807682e-06,
1471
+ "loss": 0.5143,
1472
+ "step": 1040
1473
+ },
1474
+ {
1475
+ "epoch": 0.4311056105610561,
1476
+ "grad_norm": 2.674655727993759,
1477
+ "learning_rate": 7.018539180553768e-06,
1478
+ "loss": 0.5179,
1479
+ "step": 1045
1480
+ },
1481
+ {
1482
+ "epoch": 0.43316831683168316,
1483
+ "grad_norm": 2.5887768807891107,
1484
+ "learning_rate": 6.985541156189932e-06,
1485
+ "loss": 0.5084,
1486
+ "step": 1050
1487
+ },
1488
+ {
1489
+ "epoch": 0.4352310231023102,
1490
+ "grad_norm": 2.7440060414213394,
1491
+ "learning_rate": 6.952440139364286e-06,
1492
+ "loss": 0.512,
1493
+ "step": 1055
1494
+ },
1495
+ {
1496
+ "epoch": 0.4372937293729373,
1497
+ "grad_norm": 2.645722871973474,
1498
+ "learning_rate": 6.919237847067282e-06,
1499
+ "loss": 0.5199,
1500
+ "step": 1060
1501
+ },
1502
+ {
1503
+ "epoch": 0.43935643564356436,
1504
+ "grad_norm": 2.611780386705664,
1505
+ "learning_rate": 6.885936001542658e-06,
1506
+ "loss": 0.5078,
1507
+ "step": 1065
1508
+ },
1509
+ {
1510
+ "epoch": 0.4414191419141914,
1511
+ "grad_norm": 2.5086528986935703,
1512
+ "learning_rate": 6.852536330198099e-06,
1513
+ "loss": 0.5201,
1514
+ "step": 1070
1515
+ },
1516
+ {
1517
+ "epoch": 0.4434818481848185,
1518
+ "grad_norm": 2.4576048338159486,
1519
+ "learning_rate": 6.819040565515636e-06,
1520
+ "loss": 0.5126,
1521
+ "step": 1075
1522
+ },
1523
+ {
1524
+ "epoch": 0.44554455445544555,
1525
+ "grad_norm": 2.7304284435440542,
1526
+ "learning_rate": 6.785450444961783e-06,
1527
+ "loss": 0.5145,
1528
+ "step": 1080
1529
+ },
1530
+ {
1531
+ "epoch": 0.4476072607260726,
1532
+ "grad_norm": 2.6166324259831435,
1533
+ "learning_rate": 6.751767710897404e-06,
1534
+ "loss": 0.5141,
1535
+ "step": 1085
1536
+ },
1537
+ {
1538
+ "epoch": 0.44966996699669964,
1539
+ "grad_norm": 2.528382351784196,
1540
+ "learning_rate": 6.71799411048734e-06,
1541
+ "loss": 0.4858,
1542
+ "step": 1090
1543
+ },
1544
+ {
1545
+ "epoch": 0.45173267326732675,
1546
+ "grad_norm": 2.633514406168111,
1547
+ "learning_rate": 6.684131395609784e-06,
1548
+ "loss": 0.5084,
1549
+ "step": 1095
1550
+ },
1551
+ {
1552
+ "epoch": 0.4537953795379538,
1553
+ "grad_norm": 2.534482871115365,
1554
+ "learning_rate": 6.650181322765407e-06,
1555
+ "loss": 0.4981,
1556
+ "step": 1100
1557
+ },
1558
+ {
1559
+ "epoch": 0.45585808580858084,
1560
+ "grad_norm": 2.4508414675719505,
1561
+ "learning_rate": 6.61614565298624e-06,
1562
+ "loss": 0.5008,
1563
+ "step": 1105
1564
+ },
1565
+ {
1566
+ "epoch": 0.45792079207920794,
1567
+ "grad_norm": 2.4274494034766203,
1568
+ "learning_rate": 6.5820261517443365e-06,
1569
+ "loss": 0.4981,
1570
+ "step": 1110
1571
+ },
1572
+ {
1573
+ "epoch": 0.459983498349835,
1574
+ "grad_norm": 2.538858548171987,
1575
+ "learning_rate": 6.54782458886019e-06,
1576
+ "loss": 0.4891,
1577
+ "step": 1115
1578
+ },
1579
+ {
1580
+ "epoch": 0.46204620462046203,
1581
+ "grad_norm": 2.5483259090729575,
1582
+ "learning_rate": 6.5135427384109315e-06,
1583
+ "loss": 0.4999,
1584
+ "step": 1120
1585
+ },
1586
+ {
1587
+ "epoch": 0.46410891089108913,
1588
+ "grad_norm": 2.5232721697679166,
1589
+ "learning_rate": 6.479182378638308e-06,
1590
+ "loss": 0.5024,
1591
+ "step": 1125
1592
+ },
1593
+ {
1594
+ "epoch": 0.4661716171617162,
1595
+ "grad_norm": 2.591445497366531,
1596
+ "learning_rate": 6.444745291856442e-06,
1597
+ "loss": 0.4964,
1598
+ "step": 1130
1599
+ },
1600
+ {
1601
+ "epoch": 0.4682343234323432,
1602
+ "grad_norm": 2.568897490439017,
1603
+ "learning_rate": 6.410233264359379e-06,
1604
+ "loss": 0.4978,
1605
+ "step": 1135
1606
+ },
1607
+ {
1608
+ "epoch": 0.47029702970297027,
1609
+ "grad_norm": 2.494168999146032,
1610
+ "learning_rate": 6.375648086328431e-06,
1611
+ "loss": 0.5058,
1612
+ "step": 1140
1613
+ },
1614
+ {
1615
+ "epoch": 0.47235973597359737,
1616
+ "grad_norm": 2.4409245464037967,
1617
+ "learning_rate": 6.340991551739319e-06,
1618
+ "loss": 0.4885,
1619
+ "step": 1145
1620
+ },
1621
+ {
1622
+ "epoch": 0.4744224422442244,
1623
+ "grad_norm": 2.603683438326256,
1624
+ "learning_rate": 6.3062654582691175e-06,
1625
+ "loss": 0.4983,
1626
+ "step": 1150
1627
+ },
1628
+ {
1629
+ "epoch": 0.47648514851485146,
1630
+ "grad_norm": 2.5017059333187404,
1631
+ "learning_rate": 6.271471607203006e-06,
1632
+ "loss": 0.4868,
1633
+ "step": 1155
1634
+ },
1635
+ {
1636
+ "epoch": 0.47854785478547857,
1637
+ "grad_norm": 2.664734878049621,
1638
+ "learning_rate": 6.236611803340829e-06,
1639
+ "loss": 0.4946,
1640
+ "step": 1160
1641
+ },
1642
+ {
1643
+ "epoch": 0.4806105610561056,
1644
+ "grad_norm": 2.6730486310091037,
1645
+ "learning_rate": 6.201687854903492e-06,
1646
+ "loss": 0.4811,
1647
+ "step": 1165
1648
+ },
1649
+ {
1650
+ "epoch": 0.48267326732673266,
1651
+ "grad_norm": 2.8065530727044927,
1652
+ "learning_rate": 6.16670157343915e-06,
1653
+ "loss": 0.4974,
1654
+ "step": 1170
1655
+ },
1656
+ {
1657
+ "epoch": 0.48473597359735976,
1658
+ "grad_norm": 2.660140416974183,
1659
+ "learning_rate": 6.131654773729255e-06,
1660
+ "loss": 0.485,
1661
+ "step": 1175
1662
+ },
1663
+ {
1664
+ "epoch": 0.4867986798679868,
1665
+ "grad_norm": 2.494718317338255,
1666
+ "learning_rate": 6.096549273694411e-06,
1667
+ "loss": 0.4832,
1668
+ "step": 1180
1669
+ },
1670
+ {
1671
+ "epoch": 0.48886138613861385,
1672
+ "grad_norm": 2.6067794556409427,
1673
+ "learning_rate": 6.061386894300082e-06,
1674
+ "loss": 0.4822,
1675
+ "step": 1185
1676
+ },
1677
+ {
1678
+ "epoch": 0.4909240924092409,
1679
+ "grad_norm": 2.411365711902098,
1680
+ "learning_rate": 6.026169459462132e-06,
1681
+ "loss": 0.488,
1682
+ "step": 1190
1683
+ },
1684
+ {
1685
+ "epoch": 0.492986798679868,
1686
+ "grad_norm": 2.5304361708398253,
1687
+ "learning_rate": 5.990898795952225e-06,
1688
+ "loss": 0.4808,
1689
+ "step": 1195
1690
+ },
1691
+ {
1692
+ "epoch": 0.49504950495049505,
1693
+ "grad_norm": 2.542256557791119,
1694
+ "learning_rate": 5.955576733303053e-06,
1695
+ "loss": 0.4922,
1696
+ "step": 1200
1697
+ },
1698
+ {
1699
+ "epoch": 0.4971122112211221,
1700
+ "grad_norm": 2.416811649448376,
1701
+ "learning_rate": 5.920205103713449e-06,
1702
+ "loss": 0.4857,
1703
+ "step": 1205
1704
+ },
1705
+ {
1706
+ "epoch": 0.4991749174917492,
1707
+ "grad_norm": 2.4894521032789023,
1708
+ "learning_rate": 5.884785741953345e-06,
1709
+ "loss": 0.4742,
1710
+ "step": 1210
1711
+ },
1712
+ {
1713
+ "epoch": 0.5012376237623762,
1714
+ "grad_norm": 2.4053368303294995,
1715
+ "learning_rate": 5.849320485268597e-06,
1716
+ "loss": 0.4691,
1717
+ "step": 1215
1718
+ },
1719
+ {
1720
+ "epoch": 0.5033003300330033,
1721
+ "grad_norm": 2.440300312110612,
1722
+ "learning_rate": 5.8138111732856906e-06,
1723
+ "loss": 0.4794,
1724
+ "step": 1220
1725
+ },
1726
+ {
1727
+ "epoch": 0.5053630363036303,
1728
+ "grad_norm": 2.507917784275635,
1729
+ "learning_rate": 5.778259647916309e-06,
1730
+ "loss": 0.4807,
1731
+ "step": 1225
1732
+ },
1733
+ {
1734
+ "epoch": 0.5074257425742574,
1735
+ "grad_norm": 2.564227750985733,
1736
+ "learning_rate": 5.7426677532618e-06,
1737
+ "loss": 0.4623,
1738
+ "step": 1230
1739
+ },
1740
+ {
1741
+ "epoch": 0.5094884488448845,
1742
+ "grad_norm": 2.5559157486419037,
1743
+ "learning_rate": 5.707037335517514e-06,
1744
+ "loss": 0.4599,
1745
+ "step": 1235
1746
+ },
1747
+ {
1748
+ "epoch": 0.5115511551155115,
1749
+ "grad_norm": 2.4886710886810666,
1750
+ "learning_rate": 5.67137024287704e-06,
1751
+ "loss": 0.4539,
1752
+ "step": 1240
1753
+ },
1754
+ {
1755
+ "epoch": 0.5136138613861386,
1756
+ "grad_norm": 2.533851130168081,
1757
+ "learning_rate": 5.635668325436343e-06,
1758
+ "loss": 0.4762,
1759
+ "step": 1245
1760
+ },
1761
+ {
1762
+ "epoch": 0.5156765676567657,
1763
+ "grad_norm": 2.5682484148678593,
1764
+ "learning_rate": 5.599933435097791e-06,
1765
+ "loss": 0.461,
1766
+ "step": 1250
1767
+ },
1768
+ {
1769
+ "epoch": 0.5177392739273927,
1770
+ "grad_norm": 2.7619029888240334,
1771
+ "learning_rate": 5.564167425474093e-06,
1772
+ "loss": 0.4708,
1773
+ "step": 1255
1774
+ },
1775
+ {
1776
+ "epoch": 0.5198019801980198,
1777
+ "grad_norm": 2.65748720318593,
1778
+ "learning_rate": 5.528372151792161e-06,
1779
+ "loss": 0.4835,
1780
+ "step": 1260
1781
+ },
1782
+ {
1783
+ "epoch": 0.5218646864686468,
1784
+ "grad_norm": 2.343200657687914,
1785
+ "learning_rate": 5.492549470796865e-06,
1786
+ "loss": 0.4562,
1787
+ "step": 1265
1788
+ },
1789
+ {
1790
+ "epoch": 0.5239273927392739,
1791
+ "grad_norm": 2.398515835994456,
1792
+ "learning_rate": 5.456701240654726e-06,
1793
+ "loss": 0.4448,
1794
+ "step": 1270
1795
+ },
1796
+ {
1797
+ "epoch": 0.525990099009901,
1798
+ "grad_norm": 2.480816874843841,
1799
+ "learning_rate": 5.420829320857532e-06,
1800
+ "loss": 0.4599,
1801
+ "step": 1275
1802
+ },
1803
+ {
1804
+ "epoch": 0.528052805280528,
1805
+ "grad_norm": 2.5823441471809643,
1806
+ "learning_rate": 5.384935572125882e-06,
1807
+ "loss": 0.4352,
1808
+ "step": 1280
1809
+ },
1810
+ {
1811
+ "epoch": 0.5301155115511551,
1812
+ "grad_norm": 2.4908465249480853,
1813
+ "learning_rate": 5.349021856312669e-06,
1814
+ "loss": 0.4594,
1815
+ "step": 1285
1816
+ },
1817
+ {
1818
+ "epoch": 0.5321782178217822,
1819
+ "grad_norm": 2.399600740783908,
1820
+ "learning_rate": 5.3130900363065055e-06,
1821
+ "loss": 0.4466,
1822
+ "step": 1290
1823
+ },
1824
+ {
1825
+ "epoch": 0.5342409240924092,
1826
+ "grad_norm": 2.454620597807439,
1827
+ "learning_rate": 5.277141975935083e-06,
1828
+ "loss": 0.4585,
1829
+ "step": 1295
1830
+ },
1831
+ {
1832
+ "epoch": 0.5363036303630363,
1833
+ "grad_norm": 2.372249644843968,
1834
+ "learning_rate": 5.24117953986851e-06,
1835
+ "loss": 0.4512,
1836
+ "step": 1300
1837
+ },
1838
+ {
1839
+ "epoch": 0.5383663366336634,
1840
+ "grad_norm": 2.3367801961389407,
1841
+ "learning_rate": 5.2052045935225725e-06,
1842
+ "loss": 0.4568,
1843
+ "step": 1305
1844
+ },
1845
+ {
1846
+ "epoch": 0.5404290429042904,
1847
+ "grad_norm": 2.4464214105982856,
1848
+ "learning_rate": 5.169219002961987e-06,
1849
+ "loss": 0.4561,
1850
+ "step": 1310
1851
+ },
1852
+ {
1853
+ "epoch": 0.5424917491749175,
1854
+ "grad_norm": 10.09033249652104,
1855
+ "learning_rate": 5.133224634803594e-06,
1856
+ "loss": 0.4506,
1857
+ "step": 1315
1858
+ },
1859
+ {
1860
+ "epoch": 0.5445544554455446,
1861
+ "grad_norm": 2.525626316753546,
1862
+ "learning_rate": 5.097223356119538e-06,
1863
+ "loss": 0.4651,
1864
+ "step": 1320
1865
+ },
1866
+ {
1867
+ "epoch": 0.5466171617161716,
1868
+ "grad_norm": 2.521794410914058,
1869
+ "learning_rate": 5.061217034340426e-06,
1870
+ "loss": 0.4729,
1871
+ "step": 1325
1872
+ },
1873
+ {
1874
+ "epoch": 0.5486798679867987,
1875
+ "grad_norm": 2.5260338421626445,
1876
+ "learning_rate": 5.02520753715845e-06,
1877
+ "loss": 0.4525,
1878
+ "step": 1330
1879
+ },
1880
+ {
1881
+ "epoch": 0.5507425742574258,
1882
+ "grad_norm": 2.446840796366364,
1883
+ "learning_rate": 4.989196732430518e-06,
1884
+ "loss": 0.4567,
1885
+ "step": 1335
1886
+ },
1887
+ {
1888
+ "epoch": 0.5528052805280528,
1889
+ "grad_norm": 2.3859413099257893,
1890
+ "learning_rate": 4.953186488081362e-06,
1891
+ "loss": 0.4471,
1892
+ "step": 1340
1893
+ },
1894
+ {
1895
+ "epoch": 0.5548679867986799,
1896
+ "grad_norm": 2.5520983341553105,
1897
+ "learning_rate": 4.9171786720066465e-06,
1898
+ "loss": 0.4523,
1899
+ "step": 1345
1900
+ },
1901
+ {
1902
+ "epoch": 0.556930693069307,
1903
+ "grad_norm": 2.470761509016717,
1904
+ "learning_rate": 4.881175151976075e-06,
1905
+ "loss": 0.4589,
1906
+ "step": 1350
1907
+ },
1908
+ {
1909
+ "epoch": 0.558993399339934,
1910
+ "grad_norm": 2.6345528475282847,
1911
+ "learning_rate": 4.845177795536516e-06,
1912
+ "loss": 0.4429,
1913
+ "step": 1355
1914
+ },
1915
+ {
1916
+ "epoch": 0.5610561056105611,
1917
+ "grad_norm": 2.4651932232525366,
1918
+ "learning_rate": 4.809188469915121e-06,
1919
+ "loss": 0.4341,
1920
+ "step": 1360
1921
+ },
1922
+ {
1923
+ "epoch": 0.5631188118811881,
1924
+ "grad_norm": 2.423072698536209,
1925
+ "learning_rate": 4.773209041922472e-06,
1926
+ "loss": 0.4416,
1927
+ "step": 1365
1928
+ },
1929
+ {
1930
+ "epoch": 0.5651815181518152,
1931
+ "grad_norm": 2.453471069490191,
1932
+ "learning_rate": 4.737241377855751e-06,
1933
+ "loss": 0.4307,
1934
+ "step": 1370
1935
+ },
1936
+ {
1937
+ "epoch": 0.5672442244224423,
1938
+ "grad_norm": 2.373055640370215,
1939
+ "learning_rate": 4.7012873434019296e-06,
1940
+ "loss": 0.4355,
1941
+ "step": 1375
1942
+ },
1943
+ {
1944
+ "epoch": 0.5693069306930693,
1945
+ "grad_norm": 2.5437533790570646,
1946
+ "learning_rate": 4.6653488035409975e-06,
1947
+ "loss": 0.4415,
1948
+ "step": 1380
1949
+ },
1950
+ {
1951
+ "epoch": 0.5713696369636964,
1952
+ "grad_norm": 2.391498166308705,
1953
+ "learning_rate": 4.629427622449217e-06,
1954
+ "loss": 0.4313,
1955
+ "step": 1385
1956
+ },
1957
+ {
1958
+ "epoch": 0.5734323432343235,
1959
+ "grad_norm": 2.643038273859464,
1960
+ "learning_rate": 4.59352566340243e-06,
1961
+ "loss": 0.4531,
1962
+ "step": 1390
1963
+ },
1964
+ {
1965
+ "epoch": 0.5754950495049505,
1966
+ "grad_norm": 2.515338122652954,
1967
+ "learning_rate": 4.557644788679413e-06,
1968
+ "loss": 0.4372,
1969
+ "step": 1395
1970
+ },
1971
+ {
1972
+ "epoch": 0.5775577557755776,
1973
+ "grad_norm": 2.5228479375899355,
1974
+ "learning_rate": 4.521786859465263e-06,
1975
+ "loss": 0.4343,
1976
+ "step": 1400
1977
+ },
1978
+ {
1979
+ "epoch": 0.5796204620462047,
1980
+ "grad_norm": 2.526725915460239,
1981
+ "learning_rate": 4.485953735754872e-06,
1982
+ "loss": 0.4236,
1983
+ "step": 1405
1984
+ },
1985
+ {
1986
+ "epoch": 0.5816831683168316,
1987
+ "grad_norm": 2.3164427894674224,
1988
+ "learning_rate": 4.450147276256439e-06,
1989
+ "loss": 0.4164,
1990
+ "step": 1410
1991
+ },
1992
+ {
1993
+ "epoch": 0.5837458745874587,
1994
+ "grad_norm": 2.3425181209777963,
1995
+ "learning_rate": 4.414369338295056e-06,
1996
+ "loss": 0.4427,
1997
+ "step": 1415
1998
+ },
1999
+ {
2000
+ "epoch": 0.5858085808580858,
2001
+ "grad_norm": 2.450541853696667,
2002
+ "learning_rate": 4.37862177771637e-06,
2003
+ "loss": 0.4406,
2004
+ "step": 1420
2005
+ },
2006
+ {
2007
+ "epoch": 0.5878712871287128,
2008
+ "grad_norm": 2.420195141307401,
2009
+ "learning_rate": 4.342906448790315e-06,
2010
+ "loss": 0.4475,
2011
+ "step": 1425
2012
+ },
2013
+ {
2014
+ "epoch": 0.5899339933993399,
2015
+ "grad_norm": 2.4136105308611624,
2016
+ "learning_rate": 4.307225204114927e-06,
2017
+ "loss": 0.435,
2018
+ "step": 1430
2019
+ },
2020
+ {
2021
+ "epoch": 0.591996699669967,
2022
+ "grad_norm": 2.4087084238655962,
2023
+ "learning_rate": 4.271579894520254e-06,
2024
+ "loss": 0.44,
2025
+ "step": 1435
2026
+ },
2027
+ {
2028
+ "epoch": 0.594059405940594,
2029
+ "grad_norm": 2.457797382505865,
2030
+ "learning_rate": 4.235972368972343e-06,
2031
+ "loss": 0.4368,
2032
+ "step": 1440
2033
+ },
2034
+ {
2035
+ "epoch": 0.5961221122112211,
2036
+ "grad_norm": 2.3957561493714827,
2037
+ "learning_rate": 4.200404474477341e-06,
2038
+ "loss": 0.4163,
2039
+ "step": 1445
2040
+ },
2041
+ {
2042
+ "epoch": 0.5981848184818482,
2043
+ "grad_norm": 2.3457771252145587,
2044
+ "learning_rate": 4.16487805598568e-06,
2045
+ "loss": 0.4094,
2046
+ "step": 1450
2047
+ },
2048
+ {
2049
+ "epoch": 0.6002475247524752,
2050
+ "grad_norm": 2.573777931737885,
2051
+ "learning_rate": 4.12939495629638e-06,
2052
+ "loss": 0.4162,
2053
+ "step": 1455
2054
+ },
2055
+ {
2056
+ "epoch": 0.6023102310231023,
2057
+ "grad_norm": 2.348703417322529,
2058
+ "learning_rate": 4.093957015961465e-06,
2059
+ "loss": 0.4208,
2060
+ "step": 1460
2061
+ },
2062
+ {
2063
+ "epoch": 0.6043729372937293,
2064
+ "grad_norm": 2.6136735137117997,
2065
+ "learning_rate": 4.0585660731904855e-06,
2066
+ "loss": 0.4357,
2067
+ "step": 1465
2068
+ },
2069
+ {
2070
+ "epoch": 0.6064356435643564,
2071
+ "grad_norm": 2.3717596586411633,
2072
+ "learning_rate": 4.023223963755168e-06,
2073
+ "loss": 0.4111,
2074
+ "step": 1470
2075
+ },
2076
+ {
2077
+ "epoch": 0.6084983498349835,
2078
+ "grad_norm": 2.3925003782413117,
2079
+ "learning_rate": 3.987932520894201e-06,
2080
+ "loss": 0.422,
2081
+ "step": 1475
2082
+ },
2083
+ {
2084
+ "epoch": 0.6105610561056105,
2085
+ "grad_norm": 2.4066751622931086,
2086
+ "learning_rate": 3.9526935752181275e-06,
2087
+ "loss": 0.4262,
2088
+ "step": 1480
2089
+ },
2090
+ {
2091
+ "epoch": 0.6126237623762376,
2092
+ "grad_norm": 2.2489948265452435,
2093
+ "learning_rate": 3.917508954614401e-06,
2094
+ "loss": 0.4137,
2095
+ "step": 1485
2096
+ },
2097
+ {
2098
+ "epoch": 0.6146864686468647,
2099
+ "grad_norm": 2.3814132782379636,
2100
+ "learning_rate": 3.882380484152567e-06,
2101
+ "loss": 0.4114,
2102
+ "step": 1490
2103
+ },
2104
+ {
2105
+ "epoch": 0.6167491749174917,
2106
+ "grad_norm": 2.503060690023786,
2107
+ "learning_rate": 3.847309985989593e-06,
2108
+ "loss": 0.4222,
2109
+ "step": 1495
2110
+ },
2111
+ {
2112
+ "epoch": 0.6188118811881188,
2113
+ "grad_norm": 2.485844712788725,
2114
+ "learning_rate": 3.8122992792753534e-06,
2115
+ "loss": 0.4212,
2116
+ "step": 1500
2117
+ },
2118
+ {
2119
+ "epoch": 0.6208745874587459,
2120
+ "grad_norm": 2.428549383590827,
2121
+ "learning_rate": 3.777350180058264e-06,
2122
+ "loss": 0.4187,
2123
+ "step": 1505
2124
+ },
2125
+ {
2126
+ "epoch": 0.6229372937293729,
2127
+ "grad_norm": 2.6875741250581533,
2128
+ "learning_rate": 3.7424645011910847e-06,
2129
+ "loss": 0.4123,
2130
+ "step": 1510
2131
+ },
2132
+ {
2133
+ "epoch": 0.625,
2134
+ "grad_norm": 2.425981196955932,
2135
+ "learning_rate": 3.707644052236887e-06,
2136
+ "loss": 0.4096,
2137
+ "step": 1515
2138
+ },
2139
+ {
2140
+ "epoch": 0.6270627062706271,
2141
+ "grad_norm": 2.7328115668919155,
2142
+ "learning_rate": 3.672890639375184e-06,
2143
+ "loss": 0.4206,
2144
+ "step": 1520
2145
+ },
2146
+ {
2147
+ "epoch": 0.6291254125412541,
2148
+ "grad_norm": 2.3245488388421593,
2149
+ "learning_rate": 3.6382060653082434e-06,
2150
+ "loss": 0.4052,
2151
+ "step": 1525
2152
+ },
2153
+ {
2154
+ "epoch": 0.6311881188118812,
2155
+ "grad_norm": 2.384682866362113,
2156
+ "learning_rate": 3.6035921291675815e-06,
2157
+ "loss": 0.4156,
2158
+ "step": 1530
2159
+ },
2160
+ {
2161
+ "epoch": 0.6332508250825083,
2162
+ "grad_norm": 2.4129965482745486,
2163
+ "learning_rate": 3.569050626420636e-06,
2164
+ "loss": 0.4093,
2165
+ "step": 1535
2166
+ },
2167
+ {
2168
+ "epoch": 0.6353135313531353,
2169
+ "grad_norm": 2.4547665669069776,
2170
+ "learning_rate": 3.5345833487776404e-06,
2171
+ "loss": 0.425,
2172
+ "step": 1540
2173
+ },
2174
+ {
2175
+ "epoch": 0.6373762376237624,
2176
+ "grad_norm": 2.489381449919041,
2177
+ "learning_rate": 3.500192084098677e-06,
2178
+ "loss": 0.4215,
2179
+ "step": 1545
2180
+ },
2181
+ {
2182
+ "epoch": 0.6394389438943895,
2183
+ "grad_norm": 2.382148749916793,
2184
+ "learning_rate": 3.4658786163009416e-06,
2185
+ "loss": 0.4152,
2186
+ "step": 1550
2187
+ },
2188
+ {
2189
+ "epoch": 0.6415016501650165,
2190
+ "grad_norm": 2.3828897057876746,
2191
+ "learning_rate": 3.4316447252662142e-06,
2192
+ "loss": 0.4084,
2193
+ "step": 1555
2194
+ },
2195
+ {
2196
+ "epoch": 0.6435643564356436,
2197
+ "grad_norm": 2.446574644486715,
2198
+ "learning_rate": 3.3974921867485238e-06,
2199
+ "loss": 0.407,
2200
+ "step": 1560
2201
+ },
2202
+ {
2203
+ "epoch": 0.6456270627062707,
2204
+ "grad_norm": 2.3536881611551035,
2205
+ "learning_rate": 3.3634227722820496e-06,
2206
+ "loss": 0.4007,
2207
+ "step": 1565
2208
+ },
2209
+ {
2210
+ "epoch": 0.6476897689768977,
2211
+ "grad_norm": 2.48572252066864,
2212
+ "learning_rate": 3.3294382490892226e-06,
2213
+ "loss": 0.401,
2214
+ "step": 1570
2215
+ },
2216
+ {
2217
+ "epoch": 0.6497524752475248,
2218
+ "grad_norm": 2.4835672414143604,
2219
+ "learning_rate": 3.2955403799890567e-06,
2220
+ "loss": 0.4005,
2221
+ "step": 1575
2222
+ },
2223
+ {
2224
+ "epoch": 0.6518151815181518,
2225
+ "grad_norm": 2.3799907386582224,
2226
+ "learning_rate": 3.261730923305717e-06,
2227
+ "loss": 0.4026,
2228
+ "step": 1580
2229
+ },
2230
+ {
2231
+ "epoch": 0.6538778877887789,
2232
+ "grad_norm": 2.486466648614617,
2233
+ "learning_rate": 3.2280116327773028e-06,
2234
+ "loss": 0.4048,
2235
+ "step": 1585
2236
+ },
2237
+ {
2238
+ "epoch": 0.655940594059406,
2239
+ "grad_norm": 2.4042700940181523,
2240
+ "learning_rate": 3.194384257464884e-06,
2241
+ "loss": 0.3945,
2242
+ "step": 1590
2243
+ },
2244
+ {
2245
+ "epoch": 0.658003300330033,
2246
+ "grad_norm": 2.327134482890906,
2247
+ "learning_rate": 3.160850541661779e-06,
2248
+ "loss": 0.4047,
2249
+ "step": 1595
2250
+ },
2251
+ {
2252
+ "epoch": 0.6600660066006601,
2253
+ "grad_norm": 2.4535001026550844,
2254
+ "learning_rate": 3.127412224803068e-06,
2255
+ "loss": 0.3885,
2256
+ "step": 1600
2257
+ },
2258
+ {
2259
+ "epoch": 0.6621287128712872,
2260
+ "grad_norm": 2.6395091605070786,
2261
+ "learning_rate": 3.094071041375375e-06,
2262
+ "loss": 0.4085,
2263
+ "step": 1605
2264
+ },
2265
+ {
2266
+ "epoch": 0.6641914191419142,
2267
+ "grad_norm": 2.45831697505499,
2268
+ "learning_rate": 3.060828720826889e-06,
2269
+ "loss": 0.4063,
2270
+ "step": 1610
2271
+ },
2272
+ {
2273
+ "epoch": 0.6662541254125413,
2274
+ "grad_norm": 2.25651867695093,
2275
+ "learning_rate": 3.0276869874776632e-06,
2276
+ "loss": 0.3991,
2277
+ "step": 1615
2278
+ },
2279
+ {
2280
+ "epoch": 0.6683168316831684,
2281
+ "grad_norm": 2.36719278095781,
2282
+ "learning_rate": 2.994647560430167e-06,
2283
+ "loss": 0.3943,
2284
+ "step": 1620
2285
+ },
2286
+ {
2287
+ "epoch": 0.6703795379537953,
2288
+ "grad_norm": 2.4049216832251035,
2289
+ "learning_rate": 2.961712153480118e-06,
2290
+ "loss": 0.4029,
2291
+ "step": 1625
2292
+ },
2293
+ {
2294
+ "epoch": 0.6724422442244224,
2295
+ "grad_norm": 2.559007669700738,
2296
+ "learning_rate": 2.9288824750275803e-06,
2297
+ "loss": 0.4032,
2298
+ "step": 1630
2299
+ },
2300
+ {
2301
+ "epoch": 0.6745049504950495,
2302
+ "grad_norm": 2.310036214506543,
2303
+ "learning_rate": 2.896160227988357e-06,
2304
+ "loss": 0.4005,
2305
+ "step": 1635
2306
+ },
2307
+ {
2308
+ "epoch": 0.6765676567656765,
2309
+ "grad_norm": 2.43914641154883,
2310
+ "learning_rate": 2.8635471097056423e-06,
2311
+ "loss": 0.3943,
2312
+ "step": 1640
2313
+ },
2314
+ {
2315
+ "epoch": 0.6786303630363036,
2316
+ "grad_norm": 2.443819723387033,
2317
+ "learning_rate": 2.8310448118619967e-06,
2318
+ "loss": 0.407,
2319
+ "step": 1645
2320
+ },
2321
+ {
2322
+ "epoch": 0.6806930693069307,
2323
+ "grad_norm": 2.4768276955867794,
2324
+ "learning_rate": 2.7986550203915807e-06,
2325
+ "loss": 0.3909,
2326
+ "step": 1650
2327
+ },
2328
+ {
2329
+ "epoch": 0.6827557755775577,
2330
+ "grad_norm": 2.3876332218325365,
2331
+ "learning_rate": 2.7663794153927165e-06,
2332
+ "loss": 0.3989,
2333
+ "step": 1655
2334
+ },
2335
+ {
2336
+ "epoch": 0.6848184818481848,
2337
+ "grad_norm": 2.373869717825122,
2338
+ "learning_rate": 2.7342196710407337e-06,
2339
+ "loss": 0.3848,
2340
+ "step": 1660
2341
+ },
2342
+ {
2343
+ "epoch": 0.6868811881188119,
2344
+ "grad_norm": 2.2944477847209703,
2345
+ "learning_rate": 2.7021774555011214e-06,
2346
+ "loss": 0.3952,
2347
+ "step": 1665
2348
+ },
2349
+ {
2350
+ "epoch": 0.6889438943894389,
2351
+ "grad_norm": 2.4458499611784044,
2352
+ "learning_rate": 2.6702544308430122e-06,
2353
+ "loss": 0.3841,
2354
+ "step": 1670
2355
+ },
2356
+ {
2357
+ "epoch": 0.691006600660066,
2358
+ "grad_norm": 2.7433908365448443,
2359
+ "learning_rate": 2.6384522529529542e-06,
2360
+ "loss": 0.383,
2361
+ "step": 1675
2362
+ },
2363
+ {
2364
+ "epoch": 0.693069306930693,
2365
+ "grad_norm": 2.4164071285356052,
2366
+ "learning_rate": 2.6067725714490307e-06,
2367
+ "loss": 0.3841,
2368
+ "step": 1680
2369
+ },
2370
+ {
2371
+ "epoch": 0.6951320132013201,
2372
+ "grad_norm": 2.5329201914328077,
2373
+ "learning_rate": 2.5752170295952856e-06,
2374
+ "loss": 0.4024,
2375
+ "step": 1685
2376
+ },
2377
+ {
2378
+ "epoch": 0.6971947194719472,
2379
+ "grad_norm": 2.362743279232679,
2380
+ "learning_rate": 2.5437872642164818e-06,
2381
+ "loss": 0.3965,
2382
+ "step": 1690
2383
+ },
2384
+ {
2385
+ "epoch": 0.6992574257425742,
2386
+ "grad_norm": 2.3597073251243064,
2387
+ "learning_rate": 2.5124849056132094e-06,
2388
+ "loss": 0.3658,
2389
+ "step": 1695
2390
+ },
2391
+ {
2392
+ "epoch": 0.7013201320132013,
2393
+ "grad_norm": 2.645876828690864,
2394
+ "learning_rate": 2.4813115774773046e-06,
2395
+ "loss": 0.3884,
2396
+ "step": 1700
2397
+ },
2398
+ {
2399
+ "epoch": 0.7033828382838284,
2400
+ "grad_norm": 2.392821189181109,
2401
+ "learning_rate": 2.4502688968076416e-06,
2402
+ "loss": 0.3827,
2403
+ "step": 1705
2404
+ },
2405
+ {
2406
+ "epoch": 0.7054455445544554,
2407
+ "grad_norm": 2.4614918453264565,
2408
+ "learning_rate": 2.4193584738262426e-06,
2409
+ "loss": 0.3825,
2410
+ "step": 1710
2411
+ },
2412
+ {
2413
+ "epoch": 0.7075082508250825,
2414
+ "grad_norm": 2.3794205872949252,
2415
+ "learning_rate": 2.388581911894767e-06,
2416
+ "loss": 0.3825,
2417
+ "step": 1715
2418
+ },
2419
+ {
2420
+ "epoch": 0.7095709570957096,
2421
+ "grad_norm": 2.4464619731962634,
2422
+ "learning_rate": 2.357940807431339e-06,
2423
+ "loss": 0.3785,
2424
+ "step": 1720
2425
+ },
2426
+ {
2427
+ "epoch": 0.7116336633663366,
2428
+ "grad_norm": 2.3852404958442013,
2429
+ "learning_rate": 2.3274367498277246e-06,
2430
+ "loss": 0.3773,
2431
+ "step": 1725
2432
+ },
2433
+ {
2434
+ "epoch": 0.7136963696369637,
2435
+ "grad_norm": 2.376518354617449,
2436
+ "learning_rate": 2.2970713213669127e-06,
2437
+ "loss": 0.3831,
2438
+ "step": 1730
2439
+ },
2440
+ {
2441
+ "epoch": 0.7157590759075908,
2442
+ "grad_norm": 2.6079917176596448,
2443
+ "learning_rate": 2.266846097141026e-06,
2444
+ "loss": 0.3857,
2445
+ "step": 1735
2446
+ },
2447
+ {
2448
+ "epoch": 0.7178217821782178,
2449
+ "grad_norm": 2.3458483796617418,
2450
+ "learning_rate": 2.2367626449696168e-06,
2451
+ "loss": 0.3751,
2452
+ "step": 1740
2453
+ },
2454
+ {
2455
+ "epoch": 0.7198844884488449,
2456
+ "grad_norm": 2.270229411474977,
2457
+ "learning_rate": 2.206822525318352e-06,
2458
+ "loss": 0.3784,
2459
+ "step": 1745
2460
+ },
2461
+ {
2462
+ "epoch": 0.721947194719472,
2463
+ "grad_norm": 2.3820977460708077,
2464
+ "learning_rate": 2.1770272912180577e-06,
2465
+ "loss": 0.3726,
2466
+ "step": 1750
2467
+ },
2468
+ {
2469
+ "epoch": 0.724009900990099,
2470
+ "grad_norm": 2.3917376427271746,
2471
+ "learning_rate": 2.1473784881841753e-06,
2472
+ "loss": 0.3749,
2473
+ "step": 1755
2474
+ },
2475
+ {
2476
+ "epoch": 0.7260726072607261,
2477
+ "grad_norm": 2.430451456865234,
2478
+ "learning_rate": 2.117877654136584e-06,
2479
+ "loss": 0.3621,
2480
+ "step": 1760
2481
+ },
2482
+ {
2483
+ "epoch": 0.7281353135313532,
2484
+ "grad_norm": 2.3121061406028107,
2485
+ "learning_rate": 2.088526319319827e-06,
2486
+ "loss": 0.3672,
2487
+ "step": 1765
2488
+ },
2489
+ {
2490
+ "epoch": 0.7301980198019802,
2491
+ "grad_norm": 2.360101764240328,
2492
+ "learning_rate": 2.059326006223743e-06,
2493
+ "loss": 0.3717,
2494
+ "step": 1770
2495
+ },
2496
+ {
2497
+ "epoch": 0.7322607260726073,
2498
+ "grad_norm": 2.573193311702909,
2499
+ "learning_rate": 2.030278229504484e-06,
2500
+ "loss": 0.379,
2501
+ "step": 1775
2502
+ },
2503
+ {
2504
+ "epoch": 0.7343234323432343,
2505
+ "grad_norm": 2.3389637944355943,
2506
+ "learning_rate": 2.001384495905954e-06,
2507
+ "loss": 0.3752,
2508
+ "step": 1780
2509
+ },
2510
+ {
2511
+ "epoch": 0.7363861386138614,
2512
+ "grad_norm": 2.488613631746104,
2513
+ "learning_rate": 1.972646304181656e-06,
2514
+ "loss": 0.3782,
2515
+ "step": 1785
2516
+ },
2517
+ {
2518
+ "epoch": 0.7384488448844885,
2519
+ "grad_norm": 2.4022170179819096,
2520
+ "learning_rate": 1.944065145016935e-06,
2521
+ "loss": 0.3726,
2522
+ "step": 1790
2523
+ },
2524
+ {
2525
+ "epoch": 0.7405115511551155,
2526
+ "grad_norm": 2.256385150261715,
2527
+ "learning_rate": 1.9156425009516736e-06,
2528
+ "loss": 0.3688,
2529
+ "step": 1795
2530
+ },
2531
+ {
2532
+ "epoch": 0.7425742574257426,
2533
+ "grad_norm": 2.4167248024578813,
2534
+ "learning_rate": 1.8873798463033742e-06,
2535
+ "loss": 0.3684,
2536
+ "step": 1800
2537
+ },
2538
+ {
2539
+ "epoch": 0.7446369636963697,
2540
+ "grad_norm": 2.451766042702295,
2541
+ "learning_rate": 1.8592786470906932e-06,
2542
+ "loss": 0.375,
2543
+ "step": 1805
2544
+ },
2545
+ {
2546
+ "epoch": 0.7466996699669967,
2547
+ "grad_norm": 2.383004059186879,
2548
+ "learning_rate": 1.8313403609573976e-06,
2549
+ "loss": 0.3759,
2550
+ "step": 1810
2551
+ },
2552
+ {
2553
+ "epoch": 0.7487623762376238,
2554
+ "grad_norm": 2.12270311435573,
2555
+ "learning_rate": 1.8035664370967493e-06,
2556
+ "loss": 0.3763,
2557
+ "step": 1815
2558
+ },
2559
+ {
2560
+ "epoch": 0.7508250825082509,
2561
+ "grad_norm": 2.4415551404560847,
2562
+ "learning_rate": 1.775958316176339e-06,
2563
+ "loss": 0.3676,
2564
+ "step": 1820
2565
+ },
2566
+ {
2567
+ "epoch": 0.7528877887788779,
2568
+ "grad_norm": 2.381919666851577,
2569
+ "learning_rate": 1.7485174302633557e-06,
2570
+ "loss": 0.3707,
2571
+ "step": 1825
2572
+ },
2573
+ {
2574
+ "epoch": 0.754950495049505,
2575
+ "grad_norm": 2.468112725751951,
2576
+ "learning_rate": 1.721245202750299e-06,
2577
+ "loss": 0.3743,
2578
+ "step": 1830
2579
+ },
2580
+ {
2581
+ "epoch": 0.7570132013201321,
2582
+ "grad_norm": 2.4412319646605707,
2583
+ "learning_rate": 1.694143048281156e-06,
2584
+ "loss": 0.3697,
2585
+ "step": 1835
2586
+ },
2587
+ {
2588
+ "epoch": 0.759075907590759,
2589
+ "grad_norm": 2.3933092088835592,
2590
+ "learning_rate": 1.6672123726780083e-06,
2591
+ "loss": 0.362,
2592
+ "step": 1840
2593
+ },
2594
+ {
2595
+ "epoch": 0.7611386138613861,
2596
+ "grad_norm": 2.3599050961874357,
2597
+ "learning_rate": 1.6404545728681232e-06,
2598
+ "loss": 0.3621,
2599
+ "step": 1845
2600
+ },
2601
+ {
2602
+ "epoch": 0.7632013201320133,
2603
+ "grad_norm": 2.3969987242185407,
2604
+ "learning_rate": 1.613871036811489e-06,
2605
+ "loss": 0.3631,
2606
+ "step": 1850
2607
+ },
2608
+ {
2609
+ "epoch": 0.7652640264026402,
2610
+ "grad_norm": 2.3728886726584144,
2611
+ "learning_rate": 1.5874631434288128e-06,
2612
+ "loss": 0.3747,
2613
+ "step": 1855
2614
+ },
2615
+ {
2616
+ "epoch": 0.7673267326732673,
2617
+ "grad_norm": 2.334377590582883,
2618
+ "learning_rate": 1.5612322625300064e-06,
2619
+ "loss": 0.3647,
2620
+ "step": 1860
2621
+ },
2622
+ {
2623
+ "epoch": 0.7693894389438944,
2624
+ "grad_norm": 2.3804587872682865,
2625
+ "learning_rate": 1.5351797547431212e-06,
2626
+ "loss": 0.3694,
2627
+ "step": 1865
2628
+ },
2629
+ {
2630
+ "epoch": 0.7714521452145214,
2631
+ "grad_norm": 2.3600418503523444,
2632
+ "learning_rate": 1.5093069714437803e-06,
2633
+ "loss": 0.3636,
2634
+ "step": 1870
2635
+ },
2636
+ {
2637
+ "epoch": 0.7735148514851485,
2638
+ "grad_norm": 2.553398892828675,
2639
+ "learning_rate": 1.483615254685075e-06,
2640
+ "loss": 0.3611,
2641
+ "step": 1875
2642
+ },
2643
+ {
2644
+ "epoch": 0.7755775577557755,
2645
+ "grad_norm": 2.3499524569210157,
2646
+ "learning_rate": 1.4581059371279516e-06,
2647
+ "loss": 0.3674,
2648
+ "step": 1880
2649
+ },
2650
+ {
2651
+ "epoch": 0.7776402640264026,
2652
+ "grad_norm": 2.4025948209352848,
2653
+ "learning_rate": 1.4327803419720836e-06,
2654
+ "loss": 0.3609,
2655
+ "step": 1885
2656
+ },
2657
+ {
2658
+ "epoch": 0.7797029702970297,
2659
+ "grad_norm": 2.44960933153857,
2660
+ "learning_rate": 1.4076397828872441e-06,
2661
+ "loss": 0.3546,
2662
+ "step": 1890
2663
+ },
2664
+ {
2665
+ "epoch": 0.7817656765676567,
2666
+ "grad_norm": 2.453171947739372,
2667
+ "learning_rate": 1.3826855639451492e-06,
2668
+ "loss": 0.3675,
2669
+ "step": 1895
2670
+ },
2671
+ {
2672
+ "epoch": 0.7838283828382838,
2673
+ "grad_norm": 2.243857634486722,
2674
+ "learning_rate": 1.357918979551831e-06,
2675
+ "loss": 0.3655,
2676
+ "step": 1900
2677
+ },
2678
+ {
2679
+ "epoch": 0.7858910891089109,
2680
+ "grad_norm": 2.334627109038789,
2681
+ "learning_rate": 1.333341314380479e-06,
2682
+ "loss": 0.3528,
2683
+ "step": 1905
2684
+ },
2685
+ {
2686
+ "epoch": 0.7879537953795379,
2687
+ "grad_norm": 2.4450603903304367,
2688
+ "learning_rate": 1.308953843304816e-06,
2689
+ "loss": 0.3696,
2690
+ "step": 1910
2691
+ },
2692
+ {
2693
+ "epoch": 0.790016501650165,
2694
+ "grad_norm": 2.469101543725218,
2695
+ "learning_rate": 1.2847578313329623e-06,
2696
+ "loss": 0.3722,
2697
+ "step": 1915
2698
+ },
2699
+ {
2700
+ "epoch": 0.7920792079207921,
2701
+ "grad_norm": 2.347298229927237,
2702
+ "learning_rate": 1.2607545335418154e-06,
2703
+ "loss": 0.364,
2704
+ "step": 1920
2705
+ },
2706
+ {
2707
+ "epoch": 0.7941419141914191,
2708
+ "grad_norm": 2.478215187683226,
2709
+ "learning_rate": 1.2369451950119553e-06,
2710
+ "loss": 0.3634,
2711
+ "step": 1925
2712
+ },
2713
+ {
2714
+ "epoch": 0.7962046204620462,
2715
+ "grad_norm": 2.321071149582765,
2716
+ "learning_rate": 1.2133310507630535e-06,
2717
+ "loss": 0.3639,
2718
+ "step": 1930
2719
+ },
2720
+ {
2721
+ "epoch": 0.7982673267326733,
2722
+ "grad_norm": 2.363187519551145,
2723
+ "learning_rate": 1.189913325689816e-06,
2724
+ "loss": 0.3694,
2725
+ "step": 1935
2726
+ },
2727
+ {
2728
+ "epoch": 0.8003300330033003,
2729
+ "grad_norm": 2.1565024791128615,
2730
+ "learning_rate": 1.166693234498446e-06,
2731
+ "loss": 0.3444,
2732
+ "step": 1940
2733
+ },
2734
+ {
2735
+ "epoch": 0.8023927392739274,
2736
+ "grad_norm": 2.238362330023504,
2737
+ "learning_rate": 1.1436719816436293e-06,
2738
+ "loss": 0.3535,
2739
+ "step": 1945
2740
+ },
2741
+ {
2742
+ "epoch": 0.8044554455445545,
2743
+ "grad_norm": 2.682507072878571,
2744
+ "learning_rate": 1.120850761266068e-06,
2745
+ "loss": 0.3622,
2746
+ "step": 1950
2747
+ },
2748
+ {
2749
+ "epoch": 0.8065181518151815,
2750
+ "grad_norm": 2.4616448463288974,
2751
+ "learning_rate": 1.098230757130529e-06,
2752
+ "loss": 0.3521,
2753
+ "step": 1955
2754
+ },
2755
+ {
2756
+ "epoch": 0.8085808580858086,
2757
+ "grad_norm": 2.518356814157187,
2758
+ "learning_rate": 1.075813142564448e-06,
2759
+ "loss": 0.3621,
2760
+ "step": 1960
2761
+ },
2762
+ {
2763
+ "epoch": 0.8106435643564357,
2764
+ "grad_norm": 2.41717183499352,
2765
+ "learning_rate": 1.053599080397068e-06,
2766
+ "loss": 0.3534,
2767
+ "step": 1965
2768
+ },
2769
+ {
2770
+ "epoch": 0.8127062706270627,
2771
+ "grad_norm": 2.3274563555835357,
2772
+ "learning_rate": 1.031589722899109e-06,
2773
+ "loss": 0.3497,
2774
+ "step": 1970
2775
+ },
2776
+ {
2777
+ "epoch": 0.8147689768976898,
2778
+ "grad_norm": 2.41058923252155,
2779
+ "learning_rate": 1.0097862117230162e-06,
2780
+ "loss": 0.3453,
2781
+ "step": 1975
2782
+ },
2783
+ {
2784
+ "epoch": 0.8168316831683168,
2785
+ "grad_norm": 2.441792027931522,
2786
+ "learning_rate": 9.881896778437328e-07,
2787
+ "loss": 0.3444,
2788
+ "step": 1980
2789
+ },
2790
+ {
2791
+ "epoch": 0.8188943894389439,
2792
+ "grad_norm": 2.4018876695962383,
2793
+ "learning_rate": 9.6680124150003e-07,
2794
+ "loss": 0.3654,
2795
+ "step": 1985
2796
+ },
2797
+ {
2798
+ "epoch": 0.820957095709571,
2799
+ "grad_norm": 2.3575482669225902,
2800
+ "learning_rate": 9.456220121364091e-07,
2801
+ "loss": 0.348,
2802
+ "step": 1990
2803
+ },
2804
+ {
2805
+ "epoch": 0.823019801980198,
2806
+ "grad_norm": 2.525821025154249,
2807
+ "learning_rate": 9.24653088345544e-07,
2808
+ "loss": 0.3523,
2809
+ "step": 1995
2810
+ },
2811
+ {
2812
+ "epoch": 0.8250825082508251,
2813
+ "grad_norm": 2.7783807540038294,
2814
+ "learning_rate": 9.038955578113018e-07,
2815
+ "loss": 0.3582,
2816
+ "step": 2000
2817
+ },
2818
+ {
2819
+ "epoch": 0.8271452145214522,
2820
+ "grad_norm": 2.50572956814031,
2821
+ "learning_rate": 8.833504972523238e-07,
2822
+ "loss": 0.3593,
2823
+ "step": 2005
2824
+ },
2825
+ {
2826
+ "epoch": 0.8292079207920792,
2827
+ "grad_norm": 2.252557918607386,
2828
+ "learning_rate": 8.630189723661663e-07,
2829
+ "loss": 0.3536,
2830
+ "step": 2010
2831
+ },
2832
+ {
2833
+ "epoch": 0.8312706270627063,
2834
+ "grad_norm": 2.4651130321437758,
2835
+ "learning_rate": 8.429020377740338e-07,
2836
+ "loss": 0.3535,
2837
+ "step": 2015
2838
+ },
2839
+ {
2840
+ "epoch": 0.8333333333333334,
2841
+ "grad_norm": 2.400123594291822,
2842
+ "learning_rate": 8.230007369660636e-07,
2843
+ "loss": 0.3543,
2844
+ "step": 2020
2845
+ },
2846
+ {
2847
+ "epoch": 0.8353960396039604,
2848
+ "grad_norm": 2.2893414346006806,
2849
+ "learning_rate": 8.033161022472063e-07,
2850
+ "loss": 0.3633,
2851
+ "step": 2025
2852
+ },
2853
+ {
2854
+ "epoch": 0.8374587458745875,
2855
+ "grad_norm": 2.387886294048468,
2856
+ "learning_rate": 7.838491546836763e-07,
2857
+ "loss": 0.3501,
2858
+ "step": 2030
2859
+ },
2860
+ {
2861
+ "epoch": 0.8395214521452146,
2862
+ "grad_norm": 2.380305733427394,
2863
+ "learning_rate": 7.646009040499846e-07,
2864
+ "loss": 0.3396,
2865
+ "step": 2035
2866
+ },
2867
+ {
2868
+ "epoch": 0.8415841584158416,
2869
+ "grad_norm": 2.6014881264846164,
2870
+ "learning_rate": 7.455723487765664e-07,
2871
+ "loss": 0.3586,
2872
+ "step": 2040
2873
+ },
2874
+ {
2875
+ "epoch": 0.8436468646864687,
2876
+ "grad_norm": 2.4907278984166106,
2877
+ "learning_rate": 7.267644758979869e-07,
2878
+ "loss": 0.3468,
2879
+ "step": 2045
2880
+ },
2881
+ {
2882
+ "epoch": 0.8457095709570958,
2883
+ "grad_norm": 2.34019203542543,
2884
+ "learning_rate": 7.08178261001743e-07,
2885
+ "loss": 0.3514,
2886
+ "step": 2050
2887
+ },
2888
+ {
2889
+ "epoch": 0.8477722772277227,
2890
+ "grad_norm": 2.3922323702113637,
2891
+ "learning_rate": 6.898146681776629e-07,
2892
+ "loss": 0.3486,
2893
+ "step": 2055
2894
+ },
2895
+ {
2896
+ "epoch": 0.8498349834983498,
2897
+ "grad_norm": 2.3826898973626127,
2898
+ "learning_rate": 6.7167464996789e-07,
2899
+ "loss": 0.3621,
2900
+ "step": 2060
2901
+ },
2902
+ {
2903
+ "epoch": 0.851897689768977,
2904
+ "grad_norm": 2.3165319710343324,
2905
+ "learning_rate": 6.537591473174814e-07,
2906
+ "loss": 0.3413,
2907
+ "step": 2065
2908
+ },
2909
+ {
2910
+ "epoch": 0.8539603960396039,
2911
+ "grad_norm": 2.5692025408049064,
2912
+ "learning_rate": 6.360690895255916e-07,
2913
+ "loss": 0.3461,
2914
+ "step": 2070
2915
+ },
2916
+ {
2917
+ "epoch": 0.856023102310231,
2918
+ "grad_norm": 2.272769119087517,
2919
+ "learning_rate": 6.186053941972775e-07,
2920
+ "loss": 0.348,
2921
+ "step": 2075
2922
+ },
2923
+ {
2924
+ "epoch": 0.858085808580858,
2925
+ "grad_norm": 2.4550162262909447,
2926
+ "learning_rate": 6.013689671958944e-07,
2927
+ "loss": 0.3531,
2928
+ "step": 2080
2929
+ },
2930
+ {
2931
+ "epoch": 0.8601485148514851,
2932
+ "grad_norm": 2.388763908670921,
2933
+ "learning_rate": 5.84360702596109e-07,
2934
+ "loss": 0.3608,
2935
+ "step": 2085
2936
+ },
2937
+ {
2938
+ "epoch": 0.8622112211221122,
2939
+ "grad_norm": 2.5005604744641174,
2940
+ "learning_rate": 5.67581482637527e-07,
2941
+ "loss": 0.3444,
2942
+ "step": 2090
2943
+ },
2944
+ {
2945
+ "epoch": 0.8642739273927392,
2946
+ "grad_norm": 2.4560197080279234,
2947
+ "learning_rate": 5.510321776789213e-07,
2948
+ "loss": 0.3463,
2949
+ "step": 2095
2950
+ },
2951
+ {
2952
+ "epoch": 0.8663366336633663,
2953
+ "grad_norm": 2.365882695902703,
2954
+ "learning_rate": 5.347136461530966e-07,
2955
+ "loss": 0.3366,
2956
+ "step": 2100
2957
+ },
2958
+ {
2959
+ "epoch": 0.8683993399339934,
2960
+ "grad_norm": 2.4380355384519925,
2961
+ "learning_rate": 5.186267345223539e-07,
2962
+ "loss": 0.3385,
2963
+ "step": 2105
2964
+ },
2965
+ {
2966
+ "epoch": 0.8704620462046204,
2967
+ "grad_norm": 2.399986551951994,
2968
+ "learning_rate": 5.027722772345828e-07,
2969
+ "loss": 0.3448,
2970
+ "step": 2110
2971
+ },
2972
+ {
2973
+ "epoch": 0.8725247524752475,
2974
+ "grad_norm": 2.454557551769108,
2975
+ "learning_rate": 4.871510966799847e-07,
2976
+ "loss": 0.3507,
2977
+ "step": 2115
2978
+ },
2979
+ {
2980
+ "epoch": 0.8745874587458746,
2981
+ "grad_norm": 2.456742477580607,
2982
+ "learning_rate": 4.717640031484055e-07,
2983
+ "loss": 0.3525,
2984
+ "step": 2120
2985
+ },
2986
+ {
2987
+ "epoch": 0.8766501650165016,
2988
+ "grad_norm": 2.41826728768274,
2989
+ "learning_rate": 4.566117947873139e-07,
2990
+ "loss": 0.3526,
2991
+ "step": 2125
2992
+ },
2993
+ {
2994
+ "epoch": 0.8787128712871287,
2995
+ "grad_norm": 2.4671547541589183,
2996
+ "learning_rate": 4.4169525756039164e-07,
2997
+ "loss": 0.3375,
2998
+ "step": 2130
2999
+ },
3000
+ {
3001
+ "epoch": 0.8807755775577558,
3002
+ "grad_norm": 2.3142164149499793,
3003
+ "learning_rate": 4.2701516520677054e-07,
3004
+ "loss": 0.3428,
3005
+ "step": 2135
3006
+ },
3007
+ {
3008
+ "epoch": 0.8828382838283828,
3009
+ "grad_norm": 2.282591060676799,
3010
+ "learning_rate": 4.1257227920089684e-07,
3011
+ "loss": 0.315,
3012
+ "step": 2140
3013
+ },
3014
+ {
3015
+ "epoch": 0.8849009900990099,
3016
+ "grad_norm": 2.2945870317486445,
3017
+ "learning_rate": 3.983673487130313e-07,
3018
+ "loss": 0.3438,
3019
+ "step": 2145
3020
+ },
3021
+ {
3022
+ "epoch": 0.886963696369637,
3023
+ "grad_norm": 2.4023456680454003,
3024
+ "learning_rate": 3.8440111057038874e-07,
3025
+ "loss": 0.3466,
3026
+ "step": 2150
3027
+ },
3028
+ {
3029
+ "epoch": 0.889026402640264,
3030
+ "grad_norm": 2.4628827167617278,
3031
+ "learning_rate": 3.706742892189197e-07,
3032
+ "loss": 0.3578,
3033
+ "step": 2155
3034
+ },
3035
+ {
3036
+ "epoch": 0.8910891089108911,
3037
+ "grad_norm": 2.518821614068097,
3038
+ "learning_rate": 3.5718759668572913e-07,
3039
+ "loss": 0.3484,
3040
+ "step": 2160
3041
+ },
3042
+ {
3043
+ "epoch": 0.8931518151815182,
3044
+ "grad_norm": 2.4044153870357734,
3045
+ "learning_rate": 3.439417325421468e-07,
3046
+ "loss": 0.3331,
3047
+ "step": 2165
3048
+ },
3049
+ {
3050
+ "epoch": 0.8952145214521452,
3051
+ "grad_norm": 2.263400317365007,
3052
+ "learning_rate": 3.3093738386743734e-07,
3053
+ "loss": 0.3359,
3054
+ "step": 2170
3055
+ },
3056
+ {
3057
+ "epoch": 0.8972772277227723,
3058
+ "grad_norm": 2.4013680975289162,
3059
+ "learning_rate": 3.1817522521316034e-07,
3060
+ "loss": 0.3509,
3061
+ "step": 2175
3062
+ },
3063
+ {
3064
+ "epoch": 0.8993399339933993,
3065
+ "grad_norm": 2.4793048291891324,
3066
+ "learning_rate": 3.0565591856818236e-07,
3067
+ "loss": 0.3499,
3068
+ "step": 2180
3069
+ },
3070
+ {
3071
+ "epoch": 0.9014026402640264,
3072
+ "grad_norm": 2.524550570591509,
3073
+ "learning_rate": 2.9338011332433525e-07,
3074
+ "loss": 0.3314,
3075
+ "step": 2185
3076
+ },
3077
+ {
3078
+ "epoch": 0.9034653465346535,
3079
+ "grad_norm": 2.4135168075751294,
3080
+ "learning_rate": 2.813484462427357e-07,
3081
+ "loss": 0.3359,
3082
+ "step": 2190
3083
+ },
3084
+ {
3085
+ "epoch": 0.9055280528052805,
3086
+ "grad_norm": 2.4118495326051996,
3087
+ "learning_rate": 2.695615414207542e-07,
3088
+ "loss": 0.3499,
3089
+ "step": 2195
3090
+ },
3091
+ {
3092
+ "epoch": 0.9075907590759076,
3093
+ "grad_norm": 2.392533982344082,
3094
+ "learning_rate": 2.5802001025963917e-07,
3095
+ "loss": 0.3417,
3096
+ "step": 2200
3097
+ },
3098
+ {
3099
+ "epoch": 0.9096534653465347,
3100
+ "grad_norm": 2.2880229451881418,
3101
+ "learning_rate": 2.467244514328082e-07,
3102
+ "loss": 0.3493,
3103
+ "step": 2205
3104
+ },
3105
+ {
3106
+ "epoch": 0.9117161716171617,
3107
+ "grad_norm": 2.3091247857735504,
3108
+ "learning_rate": 2.3567545085478983e-07,
3109
+ "loss": 0.3383,
3110
+ "step": 2210
3111
+ },
3112
+ {
3113
+ "epoch": 0.9137788778877888,
3114
+ "grad_norm": 2.4901336136450136,
3115
+ "learning_rate": 2.248735816508324e-07,
3116
+ "loss": 0.3398,
3117
+ "step": 2215
3118
+ },
3119
+ {
3120
+ "epoch": 0.9158415841584159,
3121
+ "grad_norm": 2.3142795015199114,
3122
+ "learning_rate": 2.1431940412717843e-07,
3123
+ "loss": 0.3427,
3124
+ "step": 2220
3125
+ },
3126
+ {
3127
+ "epoch": 0.9179042904290429,
3128
+ "grad_norm": 2.4277647469057744,
3129
+ "learning_rate": 2.040134657419951e-07,
3130
+ "loss": 0.3387,
3131
+ "step": 2225
3132
+ },
3133
+ {
3134
+ "epoch": 0.91996699669967,
3135
+ "grad_norm": 2.3617745475614034,
3136
+ "learning_rate": 1.9395630107698293e-07,
3137
+ "loss": 0.3392,
3138
+ "step": 2230
3139
+ },
3140
+ {
3141
+ "epoch": 0.9220297029702971,
3142
+ "grad_norm": 2.5202449484112615,
3143
+ "learning_rate": 1.8414843180964316e-07,
3144
+ "loss": 0.3451,
3145
+ "step": 2235
3146
+ },
3147
+ {
3148
+ "epoch": 0.9240924092409241,
3149
+ "grad_norm": 2.6186027806455727,
3150
+ "learning_rate": 1.7459036668621586e-07,
3151
+ "loss": 0.345,
3152
+ "step": 2240
3153
+ },
3154
+ {
3155
+ "epoch": 0.9261551155115512,
3156
+ "grad_norm": 2.357402116923623,
3157
+ "learning_rate": 1.6528260149529573e-07,
3158
+ "loss": 0.3426,
3159
+ "step": 2245
3160
+ },
3161
+ {
3162
+ "epoch": 0.9282178217821783,
3163
+ "grad_norm": 2.7714941079884365,
3164
+ "learning_rate": 1.562256190421102e-07,
3165
+ "loss": 0.3444,
3166
+ "step": 2250
3167
+ },
3168
+ {
3169
+ "epoch": 0.9302805280528053,
3170
+ "grad_norm": 2.384372509379296,
3171
+ "learning_rate": 1.4741988912347848e-07,
3172
+ "loss": 0.349,
3173
+ "step": 2255
3174
+ },
3175
+ {
3176
+ "epoch": 0.9323432343234324,
3177
+ "grad_norm": 2.423642340690504,
3178
+ "learning_rate": 1.3886586850344276e-07,
3179
+ "loss": 0.3411,
3180
+ "step": 2260
3181
+ },
3182
+ {
3183
+ "epoch": 0.9344059405940595,
3184
+ "grad_norm": 2.4976812347623762,
3185
+ "learning_rate": 1.30564000889572e-07,
3186
+ "loss": 0.3427,
3187
+ "step": 2265
3188
+ },
3189
+ {
3190
+ "epoch": 0.9364686468646864,
3191
+ "grad_norm": 2.4409748992106244,
3192
+ "learning_rate": 1.225147169099511e-07,
3193
+ "loss": 0.3344,
3194
+ "step": 2270
3195
+ },
3196
+ {
3197
+ "epoch": 0.9385313531353136,
3198
+ "grad_norm": 2.4594177758611226,
3199
+ "learning_rate": 1.147184340908386e-07,
3200
+ "loss": 0.3466,
3201
+ "step": 2275
3202
+ },
3203
+ {
3204
+ "epoch": 0.9405940594059405,
3205
+ "grad_norm": 2.3563533473196054,
3206
+ "learning_rate": 1.0717555683501413e-07,
3207
+ "loss": 0.3437,
3208
+ "step": 2280
3209
+ },
3210
+ {
3211
+ "epoch": 0.9426567656765676,
3212
+ "grad_norm": 2.438141654343306,
3213
+ "learning_rate": 9.988647640079785e-08,
3214
+ "loss": 0.3481,
3215
+ "step": 2285
3216
+ },
3217
+ {
3218
+ "epoch": 0.9447194719471947,
3219
+ "grad_norm": 2.3653534995422465,
3220
+ "learning_rate": 9.285157088175678e-08,
3221
+ "loss": 0.3305,
3222
+ "step": 2290
3223
+ },
3224
+ {
3225
+ "epoch": 0.9467821782178217,
3226
+ "grad_norm": 2.5595084581881893,
3227
+ "learning_rate": 8.607120518709156e-08,
3228
+ "loss": 0.3447,
3229
+ "step": 2295
3230
+ },
3231
+ {
3232
+ "epoch": 0.9488448844884488,
3233
+ "grad_norm": 2.298821712031628,
3234
+ "learning_rate": 7.954573102271157e-08,
3235
+ "loss": 0.3427,
3236
+ "step": 2300
3237
+ },
3238
+ {
3239
+ "epoch": 0.9509075907590759,
3240
+ "grad_norm": 2.3999698309349786,
3241
+ "learning_rate": 7.327548687298625e-08,
3242
+ "loss": 0.3387,
3243
+ "step": 2305
3244
+ },
3245
+ {
3246
+ "epoch": 0.9529702970297029,
3247
+ "grad_norm": 2.2525707814009617,
3248
+ "learning_rate": 6.726079798319185e-08,
3249
+ "loss": 0.3561,
3250
+ "step": 2310
3251
+ },
3252
+ {
3253
+ "epoch": 0.95503300330033,
3254
+ "grad_norm": 2.3217448485216248,
3255
+ "learning_rate": 6.150197634263888e-08,
3256
+ "loss": 0.3469,
3257
+ "step": 2315
3258
+ },
3259
+ {
3260
+ "epoch": 0.9570957095709571,
3261
+ "grad_norm": 2.365101163841893,
3262
+ "learning_rate": 5.599932066848834e-08,
3263
+ "loss": 0.3367,
3264
+ "step": 2320
3265
+ },
3266
+ {
3267
+ "epoch": 0.9591584158415841,
3268
+ "grad_norm": 2.425841031506538,
3269
+ "learning_rate": 5.0753116390258594e-08,
3270
+ "loss": 0.3401,
3271
+ "step": 2325
3272
+ },
3273
+ {
3274
+ "epoch": 0.9612211221122112,
3275
+ "grad_norm": 2.563836501970768,
3276
+ "learning_rate": 4.576363563501718e-08,
3277
+ "loss": 0.3409,
3278
+ "step": 2330
3279
+ },
3280
+ {
3281
+ "epoch": 0.9632838283828383,
3282
+ "grad_norm": 2.34358481427922,
3283
+ "learning_rate": 4.103113721326768e-08,
3284
+ "loss": 0.3484,
3285
+ "step": 2335
3286
+ },
3287
+ {
3288
+ "epoch": 0.9653465346534653,
3289
+ "grad_norm": 2.402352860387557,
3290
+ "learning_rate": 3.655586660552324e-08,
3291
+ "loss": 0.3419,
3292
+ "step": 2340
3293
+ },
3294
+ {
3295
+ "epoch": 0.9674092409240924,
3296
+ "grad_norm": 2.412967620073454,
3297
+ "learning_rate": 3.233805594957506e-08,
3298
+ "loss": 0.3272,
3299
+ "step": 2345
3300
+ },
3301
+ {
3302
+ "epoch": 0.9694719471947195,
3303
+ "grad_norm": 2.3840732180526487,
3304
+ "learning_rate": 2.8377924028449855e-08,
3305
+ "loss": 0.3383,
3306
+ "step": 2350
3307
+ },
3308
+ {
3309
+ "epoch": 0.9715346534653465,
3310
+ "grad_norm": 2.508928823648118,
3311
+ "learning_rate": 2.4675676259059976e-08,
3312
+ "loss": 0.3447,
3313
+ "step": 2355
3314
+ },
3315
+ {
3316
+ "epoch": 0.9735973597359736,
3317
+ "grad_norm": 2.1993358612568317,
3318
+ "learning_rate": 2.123150468155144e-08,
3319
+ "loss": 0.3294,
3320
+ "step": 2360
3321
+ },
3322
+ {
3323
+ "epoch": 0.9756600660066007,
3324
+ "grad_norm": 2.4190680800537567,
3325
+ "learning_rate": 1.8045587949339637e-08,
3326
+ "loss": 0.3351,
3327
+ "step": 2365
3328
+ },
3329
+ {
3330
+ "epoch": 0.9777227722772277,
3331
+ "grad_norm": 2.2890929930955037,
3332
+ "learning_rate": 1.5118091319843985e-08,
3333
+ "loss": 0.34,
3334
+ "step": 2370
3335
+ },
3336
+ {
3337
+ "epoch": 0.9797854785478548,
3338
+ "grad_norm": 2.5688702019838883,
3339
+ "learning_rate": 1.2449166645915333e-08,
3340
+ "loss": 0.3304,
3341
+ "step": 2375
3342
+ },
3343
+ {
3344
+ "epoch": 0.9818481848184818,
3345
+ "grad_norm": 2.483690216637316,
3346
+ "learning_rate": 1.0038952367958376e-08,
3347
+ "loss": 0.341,
3348
+ "step": 2380
3349
+ },
3350
+ {
3351
+ "epoch": 0.9839108910891089,
3352
+ "grad_norm": 2.179239333588943,
3353
+ "learning_rate": 7.887573506752954e-09,
3354
+ "loss": 0.3384,
3355
+ "step": 2385
3356
+ },
3357
+ {
3358
+ "epoch": 0.985973597359736,
3359
+ "grad_norm": 2.512101769493497,
3360
+ "learning_rate": 5.9951416569659085e-09,
3361
+ "loss": 0.3348,
3362
+ "step": 2390
3363
+ },
3364
+ {
3365
+ "epoch": 0.988036303630363,
3366
+ "grad_norm": 2.4449313798457597,
3367
+ "learning_rate": 4.361754981365152e-09,
3368
+ "loss": 0.3339,
3369
+ "step": 2395
3370
+ },
3371
+ {
3372
+ "epoch": 0.9900990099009901,
3373
+ "grad_norm": 2.2966537435115444,
3374
+ "learning_rate": 2.98749820572708e-09,
3375
+ "loss": 0.3263,
3376
+ "step": 2400
3377
+ },
3378
+ {
3379
+ "epoch": 0.9921617161716172,
3380
+ "grad_norm": 2.5187709917417727,
3381
+ "learning_rate": 1.8724426144395293e-09,
3382
+ "loss": 0.3357,
3383
+ "step": 2405
3384
+ },
3385
+ {
3386
+ "epoch": 0.9942244224422442,
3387
+ "grad_norm": 2.340909896310804,
3388
+ "learning_rate": 1.0166460468080674e-09,
3389
+ "loss": 0.3426,
3390
+ "step": 2410
3391
+ },
3392
+ {
3393
+ "epoch": 0.9962871287128713,
3394
+ "grad_norm": 2.3871751186126207,
3395
+ "learning_rate": 4.2015289405339386e-10,
3396
+ "loss": 0.3369,
3397
+ "step": 2415
3398
+ },
3399
+ {
3400
+ "epoch": 0.9983498349834984,
3401
+ "grad_norm": 2.377304997896102,
3402
+ "learning_rate": 8.29940970092924e-11,
3403
+ "loss": 0.3308,
3404
+ "step": 2420
3405
+ },
3406
+ {
3407
+ "epoch": 1.0,
3408
+ "eval_runtime": 3.3729,
3409
+ "eval_samples_per_second": 2.965,
3410
+ "eval_steps_per_second": 0.889,
3411
+ "step": 2424
3412
+ },
3413
+ {
3414
+ "epoch": 1.0,
3415
+ "step": 2424,
3416
+ "total_flos": 253768142684160.0,
3417
+ "train_loss": 0.5300087753695624,
3418
+ "train_runtime": 21368.6318,
3419
+ "train_samples_per_second": 1.814,
3420
+ "train_steps_per_second": 0.113
3421
+ }
3422
+ ],
3423
+ "logging_steps": 5,
3424
+ "max_steps": 2424,
3425
+ "num_input_tokens_seen": 0,
3426
+ "num_train_epochs": 1,
3427
+ "save_steps": 100,
3428
+ "stateful_callbacks": {
3429
+ "TrainerControl": {
3430
+ "args": {
3431
+ "should_epoch_stop": false,
3432
+ "should_evaluate": false,
3433
+ "should_log": false,
3434
+ "should_save": true,
3435
+ "should_training_stop": true
3436
+ },
3437
+ "attributes": {}
3438
+ }
3439
+ },
3440
+ "total_flos": 253768142684160.0,
3441
+ "train_batch_size": 4,
3442
+ "trial_name": null,
3443
+ "trial_params": null
3444
+ }