terry69 commited on
Commit
a599390
1 Parent(s): 357972c

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_raredirtybatch16_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_raredirtybatch16_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": 252721244405760.0,
4
+ "train_loss": 0.5125990820108807,
5
+ "train_runtime": 21458.7367,
6
+ "train_samples": 98881,
7
+ "train_samples_per_second": 1.8,
8
+ "train_steps_per_second": 0.112
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_01-29-50_COE-CS-sv003/events.out.tfevents.1727401003.COE-CS-sv003.899798.0 CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:fd96adcef2c19610de961ac9f33535ff206be1a899acadc1b72c39961b3ef44a
3
- size 107865
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:1382d9e70acffc7fc925e2367e89553429f8f3c3d00a99a44bd1cc16c14a2ab8
3
+ size 108219
train_results.json ADDED
@@ -0,0 +1,9 @@
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "epoch": 1.0,
3
+ "total_flos": 252721244405760.0,
4
+ "train_loss": 0.5125990820108807,
5
+ "train_runtime": 21458.7367,
6
+ "train_samples": 98881,
7
+ "train_samples_per_second": 1.8,
8
+ "train_steps_per_second": 0.112
9
+ }
trainer_state.json ADDED
@@ -0,0 +1,3430 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_metric": null,
3
+ "best_model_checkpoint": null,
4
+ "epoch": 1.0,
5
+ "eval_steps": 500,
6
+ "global_step": 2414,
7
+ "is_hyper_param_search": false,
8
+ "is_local_process_zero": true,
9
+ "is_world_process_zero": true,
10
+ "log_history": [
11
+ {
12
+ "epoch": 0.00041425020712510354,
13
+ "grad_norm": 25.544971119297156,
14
+ "learning_rate": 4.132231404958678e-08,
15
+ "loss": 1.4202,
16
+ "step": 1
17
+ },
18
+ {
19
+ "epoch": 0.002071251035625518,
20
+ "grad_norm": 22.908596652075445,
21
+ "learning_rate": 2.066115702479339e-07,
22
+ "loss": 1.3991,
23
+ "step": 5
24
+ },
25
+ {
26
+ "epoch": 0.004142502071251036,
27
+ "grad_norm": 14.46167637817398,
28
+ "learning_rate": 4.132231404958678e-07,
29
+ "loss": 1.3444,
30
+ "step": 10
31
+ },
32
+ {
33
+ "epoch": 0.006213753106876553,
34
+ "grad_norm": 8.290495106293157,
35
+ "learning_rate": 6.198347107438018e-07,
36
+ "loss": 1.265,
37
+ "step": 15
38
+ },
39
+ {
40
+ "epoch": 0.008285004142502071,
41
+ "grad_norm": 10.380639172364994,
42
+ "learning_rate": 8.264462809917356e-07,
43
+ "loss": 1.1339,
44
+ "step": 20
45
+ },
46
+ {
47
+ "epoch": 0.010356255178127589,
48
+ "grad_norm": 4.6120455640556655,
49
+ "learning_rate": 1.0330578512396695e-06,
50
+ "loss": 1.0227,
51
+ "step": 25
52
+ },
53
+ {
54
+ "epoch": 0.012427506213753107,
55
+ "grad_norm": 3.474075737289564,
56
+ "learning_rate": 1.2396694214876035e-06,
57
+ "loss": 0.9686,
58
+ "step": 30
59
+ },
60
+ {
61
+ "epoch": 0.014498757249378625,
62
+ "grad_norm": 3.5169761983961307,
63
+ "learning_rate": 1.4462809917355372e-06,
64
+ "loss": 0.9698,
65
+ "step": 35
66
+ },
67
+ {
68
+ "epoch": 0.016570008285004142,
69
+ "grad_norm": 3.080371238649772,
70
+ "learning_rate": 1.6528925619834712e-06,
71
+ "loss": 0.9282,
72
+ "step": 40
73
+ },
74
+ {
75
+ "epoch": 0.018641259320629662,
76
+ "grad_norm": 3.1171379571192817,
77
+ "learning_rate": 1.859504132231405e-06,
78
+ "loss": 0.9337,
79
+ "step": 45
80
+ },
81
+ {
82
+ "epoch": 0.020712510356255178,
83
+ "grad_norm": 3.073597957607947,
84
+ "learning_rate": 2.066115702479339e-06,
85
+ "loss": 0.9055,
86
+ "step": 50
87
+ },
88
+ {
89
+ "epoch": 0.022783761391880698,
90
+ "grad_norm": 2.9703230058655525,
91
+ "learning_rate": 2.2727272727272728e-06,
92
+ "loss": 0.8945,
93
+ "step": 55
94
+ },
95
+ {
96
+ "epoch": 0.024855012427506214,
97
+ "grad_norm": 3.1846969380023857,
98
+ "learning_rate": 2.479338842975207e-06,
99
+ "loss": 0.8822,
100
+ "step": 60
101
+ },
102
+ {
103
+ "epoch": 0.026926263463131733,
104
+ "grad_norm": 3.0811606787156673,
105
+ "learning_rate": 2.6859504132231405e-06,
106
+ "loss": 0.8753,
107
+ "step": 65
108
+ },
109
+ {
110
+ "epoch": 0.02899751449875725,
111
+ "grad_norm": 2.991431842056114,
112
+ "learning_rate": 2.8925619834710743e-06,
113
+ "loss": 0.8717,
114
+ "step": 70
115
+ },
116
+ {
117
+ "epoch": 0.03106876553438277,
118
+ "grad_norm": 2.9935603364172456,
119
+ "learning_rate": 3.0991735537190086e-06,
120
+ "loss": 0.8799,
121
+ "step": 75
122
+ },
123
+ {
124
+ "epoch": 0.033140016570008285,
125
+ "grad_norm": 3.1118618030596426,
126
+ "learning_rate": 3.3057851239669424e-06,
127
+ "loss": 0.8764,
128
+ "step": 80
129
+ },
130
+ {
131
+ "epoch": 0.035211267605633804,
132
+ "grad_norm": 2.944950169684341,
133
+ "learning_rate": 3.5123966942148763e-06,
134
+ "loss": 0.8653,
135
+ "step": 85
136
+ },
137
+ {
138
+ "epoch": 0.037282518641259324,
139
+ "grad_norm": 2.9739085526435427,
140
+ "learning_rate": 3.71900826446281e-06,
141
+ "loss": 0.8549,
142
+ "step": 90
143
+ },
144
+ {
145
+ "epoch": 0.03935376967688484,
146
+ "grad_norm": 3.1253110494762013,
147
+ "learning_rate": 3.925619834710744e-06,
148
+ "loss": 0.8704,
149
+ "step": 95
150
+ },
151
+ {
152
+ "epoch": 0.041425020712510356,
153
+ "grad_norm": 3.242980841012618,
154
+ "learning_rate": 4.132231404958678e-06,
155
+ "loss": 0.8588,
156
+ "step": 100
157
+ },
158
+ {
159
+ "epoch": 0.043496271748135876,
160
+ "grad_norm": 3.0122534126779295,
161
+ "learning_rate": 4.338842975206612e-06,
162
+ "loss": 0.837,
163
+ "step": 105
164
+ },
165
+ {
166
+ "epoch": 0.045567522783761395,
167
+ "grad_norm": 3.1069186883719895,
168
+ "learning_rate": 4.5454545454545455e-06,
169
+ "loss": 0.8595,
170
+ "step": 110
171
+ },
172
+ {
173
+ "epoch": 0.04763877381938691,
174
+ "grad_norm": 2.9563700149903323,
175
+ "learning_rate": 4.75206611570248e-06,
176
+ "loss": 0.8473,
177
+ "step": 115
178
+ },
179
+ {
180
+ "epoch": 0.04971002485501243,
181
+ "grad_norm": 3.3541971707561156,
182
+ "learning_rate": 4.958677685950414e-06,
183
+ "loss": 0.8354,
184
+ "step": 120
185
+ },
186
+ {
187
+ "epoch": 0.05178127589063795,
188
+ "grad_norm": 3.175924731149988,
189
+ "learning_rate": 5.165289256198347e-06,
190
+ "loss": 0.8586,
191
+ "step": 125
192
+ },
193
+ {
194
+ "epoch": 0.053852526926263466,
195
+ "grad_norm": 2.995462162831613,
196
+ "learning_rate": 5.371900826446281e-06,
197
+ "loss": 0.8341,
198
+ "step": 130
199
+ },
200
+ {
201
+ "epoch": 0.05592377796188898,
202
+ "grad_norm": 3.3766169021162122,
203
+ "learning_rate": 5.578512396694216e-06,
204
+ "loss": 0.8193,
205
+ "step": 135
206
+ },
207
+ {
208
+ "epoch": 0.0579950289975145,
209
+ "grad_norm": 2.9810267959097985,
210
+ "learning_rate": 5.785123966942149e-06,
211
+ "loss": 0.8392,
212
+ "step": 140
213
+ },
214
+ {
215
+ "epoch": 0.06006628003314002,
216
+ "grad_norm": 3.096657680618283,
217
+ "learning_rate": 5.991735537190083e-06,
218
+ "loss": 0.8312,
219
+ "step": 145
220
+ },
221
+ {
222
+ "epoch": 0.06213753106876554,
223
+ "grad_norm": 3.298036046188238,
224
+ "learning_rate": 6.198347107438017e-06,
225
+ "loss": 0.8317,
226
+ "step": 150
227
+ },
228
+ {
229
+ "epoch": 0.06420878210439106,
230
+ "grad_norm": 3.1212455612648675,
231
+ "learning_rate": 6.404958677685951e-06,
232
+ "loss": 0.8197,
233
+ "step": 155
234
+ },
235
+ {
236
+ "epoch": 0.06628003314001657,
237
+ "grad_norm": 3.0402863673109364,
238
+ "learning_rate": 6.611570247933885e-06,
239
+ "loss": 0.8275,
240
+ "step": 160
241
+ },
242
+ {
243
+ "epoch": 0.06835128417564208,
244
+ "grad_norm": 3.5022361283638324,
245
+ "learning_rate": 6.818181818181818e-06,
246
+ "loss": 0.8053,
247
+ "step": 165
248
+ },
249
+ {
250
+ "epoch": 0.07042253521126761,
251
+ "grad_norm": 3.348710798098812,
252
+ "learning_rate": 7.0247933884297525e-06,
253
+ "loss": 0.8189,
254
+ "step": 170
255
+ },
256
+ {
257
+ "epoch": 0.07249378624689312,
258
+ "grad_norm": 3.4458320445449315,
259
+ "learning_rate": 7.231404958677687e-06,
260
+ "loss": 0.8226,
261
+ "step": 175
262
+ },
263
+ {
264
+ "epoch": 0.07456503728251865,
265
+ "grad_norm": 3.303113534217444,
266
+ "learning_rate": 7.43801652892562e-06,
267
+ "loss": 0.8163,
268
+ "step": 180
269
+ },
270
+ {
271
+ "epoch": 0.07663628831814416,
272
+ "grad_norm": 3.343520607614814,
273
+ "learning_rate": 7.644628099173555e-06,
274
+ "loss": 0.8304,
275
+ "step": 185
276
+ },
277
+ {
278
+ "epoch": 0.07870753935376967,
279
+ "grad_norm": 3.1056946041337166,
280
+ "learning_rate": 7.851239669421489e-06,
281
+ "loss": 0.8094,
282
+ "step": 190
283
+ },
284
+ {
285
+ "epoch": 0.0807787903893952,
286
+ "grad_norm": 3.183371153299341,
287
+ "learning_rate": 8.057851239669421e-06,
288
+ "loss": 0.7949,
289
+ "step": 195
290
+ },
291
+ {
292
+ "epoch": 0.08285004142502071,
293
+ "grad_norm": 3.269984586984269,
294
+ "learning_rate": 8.264462809917356e-06,
295
+ "loss": 0.806,
296
+ "step": 200
297
+ },
298
+ {
299
+ "epoch": 0.08492129246064622,
300
+ "grad_norm": 3.335022249388234,
301
+ "learning_rate": 8.47107438016529e-06,
302
+ "loss": 0.8078,
303
+ "step": 205
304
+ },
305
+ {
306
+ "epoch": 0.08699254349627175,
307
+ "grad_norm": 2.9606812615195053,
308
+ "learning_rate": 8.677685950413224e-06,
309
+ "loss": 0.8209,
310
+ "step": 210
311
+ },
312
+ {
313
+ "epoch": 0.08906379453189726,
314
+ "grad_norm": 3.202967921746539,
315
+ "learning_rate": 8.884297520661158e-06,
316
+ "loss": 0.8187,
317
+ "step": 215
318
+ },
319
+ {
320
+ "epoch": 0.09113504556752279,
321
+ "grad_norm": 3.204189894993486,
322
+ "learning_rate": 9.090909090909091e-06,
323
+ "loss": 0.794,
324
+ "step": 220
325
+ },
326
+ {
327
+ "epoch": 0.0932062966031483,
328
+ "grad_norm": 2.954713853298521,
329
+ "learning_rate": 9.297520661157025e-06,
330
+ "loss": 0.7962,
331
+ "step": 225
332
+ },
333
+ {
334
+ "epoch": 0.09527754763877382,
335
+ "grad_norm": 3.0875834441491667,
336
+ "learning_rate": 9.50413223140496e-06,
337
+ "loss": 0.7996,
338
+ "step": 230
339
+ },
340
+ {
341
+ "epoch": 0.09734879867439934,
342
+ "grad_norm": 2.9139649747682577,
343
+ "learning_rate": 9.710743801652894e-06,
344
+ "loss": 0.8072,
345
+ "step": 235
346
+ },
347
+ {
348
+ "epoch": 0.09942004971002485,
349
+ "grad_norm": 3.041063558792154,
350
+ "learning_rate": 9.917355371900828e-06,
351
+ "loss": 0.782,
352
+ "step": 240
353
+ },
354
+ {
355
+ "epoch": 0.10149130074565037,
356
+ "grad_norm": 3.1128633848066163,
357
+ "learning_rate": 9.999952928077044e-06,
358
+ "loss": 0.816,
359
+ "step": 245
360
+ },
361
+ {
362
+ "epoch": 0.1035625517812759,
363
+ "grad_norm": 3.066590654725202,
364
+ "learning_rate": 9.999665269535307e-06,
365
+ "loss": 0.8032,
366
+ "step": 250
367
+ },
368
+ {
369
+ "epoch": 0.1056338028169014,
370
+ "grad_norm": 2.91105191628418,
371
+ "learning_rate": 9.99911611854702e-06,
372
+ "loss": 0.791,
373
+ "step": 255
374
+ },
375
+ {
376
+ "epoch": 0.10770505385252693,
377
+ "grad_norm": 3.006318406918519,
378
+ "learning_rate": 9.998305503833872e-06,
379
+ "loss": 0.8038,
380
+ "step": 260
381
+ },
382
+ {
383
+ "epoch": 0.10977630488815245,
384
+ "grad_norm": 3.0115800135705566,
385
+ "learning_rate": 9.997233467792626e-06,
386
+ "loss": 0.7912,
387
+ "step": 265
388
+ },
389
+ {
390
+ "epoch": 0.11184755592377796,
391
+ "grad_norm": 3.023844776872081,
392
+ "learning_rate": 9.995900066492902e-06,
393
+ "loss": 0.792,
394
+ "step": 270
395
+ },
396
+ {
397
+ "epoch": 0.11391880695940348,
398
+ "grad_norm": 3.1715416482126915,
399
+ "learning_rate": 9.994305369674242e-06,
400
+ "loss": 0.7991,
401
+ "step": 275
402
+ },
403
+ {
404
+ "epoch": 0.115990057995029,
405
+ "grad_norm": 2.9257225672853746,
406
+ "learning_rate": 9.992449460742464e-06,
407
+ "loss": 0.7807,
408
+ "step": 280
409
+ },
410
+ {
411
+ "epoch": 0.11806130903065451,
412
+ "grad_norm": 2.7664836018212893,
413
+ "learning_rate": 9.9903324367653e-06,
414
+ "loss": 0.7856,
415
+ "step": 285
416
+ },
417
+ {
418
+ "epoch": 0.12013256006628004,
419
+ "grad_norm": 2.9468391906330247,
420
+ "learning_rate": 9.98795440846732e-06,
421
+ "loss": 0.7722,
422
+ "step": 290
423
+ },
424
+ {
425
+ "epoch": 0.12220381110190555,
426
+ "grad_norm": 2.8733137592595286,
427
+ "learning_rate": 9.985315500224135e-06,
428
+ "loss": 0.7735,
429
+ "step": 295
430
+ },
431
+ {
432
+ "epoch": 0.12427506213753108,
433
+ "grad_norm": 2.854643690941792,
434
+ "learning_rate": 9.982415850055902e-06,
435
+ "loss": 0.7698,
436
+ "step": 300
437
+ },
438
+ {
439
+ "epoch": 0.1263463131731566,
440
+ "grad_norm": 2.863511338124913,
441
+ "learning_rate": 9.979255609620095e-06,
442
+ "loss": 0.7917,
443
+ "step": 305
444
+ },
445
+ {
446
+ "epoch": 0.12841756420878211,
447
+ "grad_norm": 2.9944118362700904,
448
+ "learning_rate": 9.975834944203581e-06,
449
+ "loss": 0.7695,
450
+ "step": 310
451
+ },
452
+ {
453
+ "epoch": 0.1304888152444076,
454
+ "grad_norm": 2.771403108971041,
455
+ "learning_rate": 9.972154032713973e-06,
456
+ "loss": 0.7753,
457
+ "step": 315
458
+ },
459
+ {
460
+ "epoch": 0.13256006628003314,
461
+ "grad_norm": 3.2277842078089374,
462
+ "learning_rate": 9.968213067670265e-06,
463
+ "loss": 0.7613,
464
+ "step": 320
465
+ },
466
+ {
467
+ "epoch": 0.13463131731565867,
468
+ "grad_norm": 2.925991890930421,
469
+ "learning_rate": 9.964012255192776e-06,
470
+ "loss": 0.7776,
471
+ "step": 325
472
+ },
473
+ {
474
+ "epoch": 0.13670256835128416,
475
+ "grad_norm": 2.87449247681849,
476
+ "learning_rate": 9.959551814992364e-06,
477
+ "loss": 0.7782,
478
+ "step": 330
479
+ },
480
+ {
481
+ "epoch": 0.1387738193869097,
482
+ "grad_norm": 3.190659210015262,
483
+ "learning_rate": 9.954831980358928e-06,
484
+ "loss": 0.7767,
485
+ "step": 335
486
+ },
487
+ {
488
+ "epoch": 0.14084507042253522,
489
+ "grad_norm": 2.9321464206149495,
490
+ "learning_rate": 9.949852998149217e-06,
491
+ "loss": 0.7405,
492
+ "step": 340
493
+ },
494
+ {
495
+ "epoch": 0.14291632145816072,
496
+ "grad_norm": 3.226386690882447,
497
+ "learning_rate": 9.944615128773911e-06,
498
+ "loss": 0.7511,
499
+ "step": 345
500
+ },
501
+ {
502
+ "epoch": 0.14498757249378624,
503
+ "grad_norm": 3.0453214708306042,
504
+ "learning_rate": 9.939118646184007e-06,
505
+ "loss": 0.7564,
506
+ "step": 350
507
+ },
508
+ {
509
+ "epoch": 0.14705882352941177,
510
+ "grad_norm": 2.8510835653406694,
511
+ "learning_rate": 9.933363837856485e-06,
512
+ "loss": 0.7534,
513
+ "step": 355
514
+ },
515
+ {
516
+ "epoch": 0.1491300745650373,
517
+ "grad_norm": 2.9653747140222166,
518
+ "learning_rate": 9.927351004779275e-06,
519
+ "loss": 0.7333,
520
+ "step": 360
521
+ },
522
+ {
523
+ "epoch": 0.1512013256006628,
524
+ "grad_norm": 2.812708687715769,
525
+ "learning_rate": 9.921080461435522e-06,
526
+ "loss": 0.7539,
527
+ "step": 365
528
+ },
529
+ {
530
+ "epoch": 0.15327257663628832,
531
+ "grad_norm": 2.915870749598374,
532
+ "learning_rate": 9.914552535787122e-06,
533
+ "loss": 0.7373,
534
+ "step": 370
535
+ },
536
+ {
537
+ "epoch": 0.15534382767191385,
538
+ "grad_norm": 2.8076111518882,
539
+ "learning_rate": 9.90776756925758e-06,
540
+ "loss": 0.7441,
541
+ "step": 375
542
+ },
543
+ {
544
+ "epoch": 0.15741507870753935,
545
+ "grad_norm": 2.8608289315852526,
546
+ "learning_rate": 9.900725916714157e-06,
547
+ "loss": 0.7222,
548
+ "step": 380
549
+ },
550
+ {
551
+ "epoch": 0.15948632974316487,
552
+ "grad_norm": 2.8612454321586243,
553
+ "learning_rate": 9.893427946449297e-06,
554
+ "loss": 0.7117,
555
+ "step": 385
556
+ },
557
+ {
558
+ "epoch": 0.1615575807787904,
559
+ "grad_norm": 2.953283089910919,
560
+ "learning_rate": 9.885874040161373e-06,
561
+ "loss": 0.7427,
562
+ "step": 390
563
+ },
564
+ {
565
+ "epoch": 0.1636288318144159,
566
+ "grad_norm": 2.7815731663847174,
567
+ "learning_rate": 9.878064592934723e-06,
568
+ "loss": 0.7395,
569
+ "step": 395
570
+ },
571
+ {
572
+ "epoch": 0.16570008285004142,
573
+ "grad_norm": 2.7419741730795795,
574
+ "learning_rate": 9.87000001321898e-06,
575
+ "loss": 0.7296,
576
+ "step": 400
577
+ },
578
+ {
579
+ "epoch": 0.16777133388566695,
580
+ "grad_norm": 2.8743326993853646,
581
+ "learning_rate": 9.86168072280772e-06,
582
+ "loss": 0.7516,
583
+ "step": 405
584
+ },
585
+ {
586
+ "epoch": 0.16984258492129245,
587
+ "grad_norm": 2.6739468010673417,
588
+ "learning_rate": 9.853107156816393e-06,
589
+ "loss": 0.7212,
590
+ "step": 410
591
+ },
592
+ {
593
+ "epoch": 0.17191383595691798,
594
+ "grad_norm": 2.843192826013082,
595
+ "learning_rate": 9.844279763659566e-06,
596
+ "loss": 0.7117,
597
+ "step": 415
598
+ },
599
+ {
600
+ "epoch": 0.1739850869925435,
601
+ "grad_norm": 3.2338486647651994,
602
+ "learning_rate": 9.835199005027477e-06,
603
+ "loss": 0.7096,
604
+ "step": 420
605
+ },
606
+ {
607
+ "epoch": 0.176056338028169,
608
+ "grad_norm": 2.8399723159571644,
609
+ "learning_rate": 9.825865355861878e-06,
610
+ "loss": 0.7088,
611
+ "step": 425
612
+ },
613
+ {
614
+ "epoch": 0.17812758906379453,
615
+ "grad_norm": 2.8047724008761517,
616
+ "learning_rate": 9.816279304331202e-06,
617
+ "loss": 0.7051,
618
+ "step": 430
619
+ },
620
+ {
621
+ "epoch": 0.18019884009942005,
622
+ "grad_norm": 2.965002963831138,
623
+ "learning_rate": 9.806441351805025e-06,
624
+ "loss": 0.7144,
625
+ "step": 435
626
+ },
627
+ {
628
+ "epoch": 0.18227009113504558,
629
+ "grad_norm": 3.17550957312684,
630
+ "learning_rate": 9.79635201282785e-06,
631
+ "loss": 0.7034,
632
+ "step": 440
633
+ },
634
+ {
635
+ "epoch": 0.18434134217067108,
636
+ "grad_norm": 2.8366101693679258,
637
+ "learning_rate": 9.786011815092193e-06,
638
+ "loss": 0.7142,
639
+ "step": 445
640
+ },
641
+ {
642
+ "epoch": 0.1864125932062966,
643
+ "grad_norm": 2.8130134851461652,
644
+ "learning_rate": 9.775421299410977e-06,
645
+ "loss": 0.6979,
646
+ "step": 450
647
+ },
648
+ {
649
+ "epoch": 0.18848384424192213,
650
+ "grad_norm": 2.64038641528435,
651
+ "learning_rate": 9.764581019689255e-06,
652
+ "loss": 0.7019,
653
+ "step": 455
654
+ },
655
+ {
656
+ "epoch": 0.19055509527754763,
657
+ "grad_norm": 2.6453379760100435,
658
+ "learning_rate": 9.753491542895237e-06,
659
+ "loss": 0.6933,
660
+ "step": 460
661
+ },
662
+ {
663
+ "epoch": 0.19262634631317316,
664
+ "grad_norm": 2.9918621516440327,
665
+ "learning_rate": 9.742153449030639e-06,
666
+ "loss": 0.696,
667
+ "step": 465
668
+ },
669
+ {
670
+ "epoch": 0.19469759734879868,
671
+ "grad_norm": 2.7984841744334785,
672
+ "learning_rate": 9.730567331100333e-06,
673
+ "loss": 0.7109,
674
+ "step": 470
675
+ },
676
+ {
677
+ "epoch": 0.19676884838442418,
678
+ "grad_norm": 2.8102695071499166,
679
+ "learning_rate": 9.71873379508136e-06,
680
+ "loss": 0.6933,
681
+ "step": 475
682
+ },
683
+ {
684
+ "epoch": 0.1988400994200497,
685
+ "grad_norm": 2.94185661750108,
686
+ "learning_rate": 9.706653459891207e-06,
687
+ "loss": 0.6929,
688
+ "step": 480
689
+ },
690
+ {
691
+ "epoch": 0.20091135045567524,
692
+ "grad_norm": 2.8883338708822968,
693
+ "learning_rate": 9.694326957355452e-06,
694
+ "loss": 0.7139,
695
+ "step": 485
696
+ },
697
+ {
698
+ "epoch": 0.20298260149130073,
699
+ "grad_norm": 2.7899074917015745,
700
+ "learning_rate": 9.681754932174719e-06,
701
+ "loss": 0.6957,
702
+ "step": 490
703
+ },
704
+ {
705
+ "epoch": 0.20505385252692626,
706
+ "grad_norm": 2.8237012982336833,
707
+ "learning_rate": 9.668938041890952e-06,
708
+ "loss": 0.692,
709
+ "step": 495
710
+ },
711
+ {
712
+ "epoch": 0.2071251035625518,
713
+ "grad_norm": 2.743263934485085,
714
+ "learning_rate": 9.655876956853025e-06,
715
+ "loss": 0.7125,
716
+ "step": 500
717
+ },
718
+ {
719
+ "epoch": 0.2091963545981773,
720
+ "grad_norm": 2.7780277306316723,
721
+ "learning_rate": 9.64257236018169e-06,
722
+ "loss": 0.6769,
723
+ "step": 505
724
+ },
725
+ {
726
+ "epoch": 0.2112676056338028,
727
+ "grad_norm": 2.794978739860878,
728
+ "learning_rate": 9.629024947733836e-06,
729
+ "loss": 0.6666,
730
+ "step": 510
731
+ },
732
+ {
733
+ "epoch": 0.21333885666942834,
734
+ "grad_norm": 2.745567236605668,
735
+ "learning_rate": 9.615235428066106e-06,
736
+ "loss": 0.6934,
737
+ "step": 515
738
+ },
739
+ {
740
+ "epoch": 0.21541010770505387,
741
+ "grad_norm": 2.8531534339381097,
742
+ "learning_rate": 9.601204522397826e-06,
743
+ "loss": 0.6711,
744
+ "step": 520
745
+ },
746
+ {
747
+ "epoch": 0.21748135874067936,
748
+ "grad_norm": 2.675335493590183,
749
+ "learning_rate": 9.586932964573298e-06,
750
+ "loss": 0.6532,
751
+ "step": 525
752
+ },
753
+ {
754
+ "epoch": 0.2195526097763049,
755
+ "grad_norm": 2.669778389943462,
756
+ "learning_rate": 9.572421501023403e-06,
757
+ "loss": 0.6633,
758
+ "step": 530
759
+ },
760
+ {
761
+ "epoch": 0.22162386081193042,
762
+ "grad_norm": 2.7963996187147915,
763
+ "learning_rate": 9.557670890726576e-06,
764
+ "loss": 0.6568,
765
+ "step": 535
766
+ },
767
+ {
768
+ "epoch": 0.22369511184755592,
769
+ "grad_norm": 2.597018418041498,
770
+ "learning_rate": 9.5426819051691e-06,
771
+ "loss": 0.6696,
772
+ "step": 540
773
+ },
774
+ {
775
+ "epoch": 0.22576636288318144,
776
+ "grad_norm": 2.7931222599950556,
777
+ "learning_rate": 9.527455328304756e-06,
778
+ "loss": 0.6633,
779
+ "step": 545
780
+ },
781
+ {
782
+ "epoch": 0.22783761391880697,
783
+ "grad_norm": 2.889773068112702,
784
+ "learning_rate": 9.511991956513828e-06,
785
+ "loss": 0.6597,
786
+ "step": 550
787
+ },
788
+ {
789
+ "epoch": 0.22990886495443247,
790
+ "grad_norm": 2.9057842019365223,
791
+ "learning_rate": 9.496292598561445e-06,
792
+ "loss": 0.6557,
793
+ "step": 555
794
+ },
795
+ {
796
+ "epoch": 0.231980115990058,
797
+ "grad_norm": 2.738062408705336,
798
+ "learning_rate": 9.480358075555278e-06,
799
+ "loss": 0.6588,
800
+ "step": 560
801
+ },
802
+ {
803
+ "epoch": 0.23405136702568352,
804
+ "grad_norm": 2.7070986484262907,
805
+ "learning_rate": 9.464189220902603e-06,
806
+ "loss": 0.6521,
807
+ "step": 565
808
+ },
809
+ {
810
+ "epoch": 0.23612261806130902,
811
+ "grad_norm": 2.659861286263656,
812
+ "learning_rate": 9.447786880266706e-06,
813
+ "loss": 0.6657,
814
+ "step": 570
815
+ },
816
+ {
817
+ "epoch": 0.23819386909693455,
818
+ "grad_norm": 2.7250348611867445,
819
+ "learning_rate": 9.431151911522656e-06,
820
+ "loss": 0.6726,
821
+ "step": 575
822
+ },
823
+ {
824
+ "epoch": 0.24026512013256007,
825
+ "grad_norm": 2.842184575287412,
826
+ "learning_rate": 9.414285184712432e-06,
827
+ "loss": 0.6365,
828
+ "step": 580
829
+ },
830
+ {
831
+ "epoch": 0.24233637116818557,
832
+ "grad_norm": 2.67728938333087,
833
+ "learning_rate": 9.397187581999424e-06,
834
+ "loss": 0.6423,
835
+ "step": 585
836
+ },
837
+ {
838
+ "epoch": 0.2444076222038111,
839
+ "grad_norm": 2.6563429501337787,
840
+ "learning_rate": 9.37985999762229e-06,
841
+ "loss": 0.6551,
842
+ "step": 590
843
+ },
844
+ {
845
+ "epoch": 0.24647887323943662,
846
+ "grad_norm": 2.7799367526121577,
847
+ "learning_rate": 9.362303337848188e-06,
848
+ "loss": 0.6421,
849
+ "step": 595
850
+ },
851
+ {
852
+ "epoch": 0.24855012427506215,
853
+ "grad_norm": 2.805960537561276,
854
+ "learning_rate": 9.344518520925377e-06,
855
+ "loss": 0.6698,
856
+ "step": 600
857
+ },
858
+ {
859
+ "epoch": 0.2506213753106877,
860
+ "grad_norm": 2.624600321091577,
861
+ "learning_rate": 9.326506477035179e-06,
862
+ "loss": 0.6401,
863
+ "step": 605
864
+ },
865
+ {
866
+ "epoch": 0.2526926263463132,
867
+ "grad_norm": 2.8754259673720166,
868
+ "learning_rate": 9.308268148243355e-06,
869
+ "loss": 0.6398,
870
+ "step": 610
871
+ },
872
+ {
873
+ "epoch": 0.2547638773819387,
874
+ "grad_norm": 2.5919249587146864,
875
+ "learning_rate": 9.289804488450805e-06,
876
+ "loss": 0.6246,
877
+ "step": 615
878
+ },
879
+ {
880
+ "epoch": 0.25683512841756423,
881
+ "grad_norm": 2.8063112887664983,
882
+ "learning_rate": 9.271116463343692e-06,
883
+ "loss": 0.639,
884
+ "step": 620
885
+ },
886
+ {
887
+ "epoch": 0.25890637945318973,
888
+ "grad_norm": 2.756087197880415,
889
+ "learning_rate": 9.25220505034293e-06,
890
+ "loss": 0.6345,
891
+ "step": 625
892
+ },
893
+ {
894
+ "epoch": 0.2609776304888152,
895
+ "grad_norm": 2.730342779651488,
896
+ "learning_rate": 9.23307123855307e-06,
897
+ "loss": 0.6387,
898
+ "step": 630
899
+ },
900
+ {
901
+ "epoch": 0.2630488815244408,
902
+ "grad_norm": 2.556975883297732,
903
+ "learning_rate": 9.213716028710558e-06,
904
+ "loss": 0.6048,
905
+ "step": 635
906
+ },
907
+ {
908
+ "epoch": 0.2651201325600663,
909
+ "grad_norm": 2.757235655234476,
910
+ "learning_rate": 9.194140433131397e-06,
911
+ "loss": 0.6108,
912
+ "step": 640
913
+ },
914
+ {
915
+ "epoch": 0.2671913835956918,
916
+ "grad_norm": 2.6914526094035294,
917
+ "learning_rate": 9.174345475658208e-06,
918
+ "loss": 0.6312,
919
+ "step": 645
920
+ },
921
+ {
922
+ "epoch": 0.26926263463131733,
923
+ "grad_norm": 2.8844859146955004,
924
+ "learning_rate": 9.154332191606671e-06,
925
+ "loss": 0.6149,
926
+ "step": 650
927
+ },
928
+ {
929
+ "epoch": 0.27133388566694283,
930
+ "grad_norm": 2.6643656724584526,
931
+ "learning_rate": 9.134101627711384e-06,
932
+ "loss": 0.6266,
933
+ "step": 655
934
+ },
935
+ {
936
+ "epoch": 0.27340513670256833,
937
+ "grad_norm": 2.706291314368935,
938
+ "learning_rate": 9.113654842071114e-06,
939
+ "loss": 0.6036,
940
+ "step": 660
941
+ },
942
+ {
943
+ "epoch": 0.2754763877381939,
944
+ "grad_norm": 2.7891110506251486,
945
+ "learning_rate": 9.092992904093451e-06,
946
+ "loss": 0.6234,
947
+ "step": 665
948
+ },
949
+ {
950
+ "epoch": 0.2775476387738194,
951
+ "grad_norm": 2.5789918392866835,
952
+ "learning_rate": 9.072116894438885e-06,
953
+ "loss": 0.6059,
954
+ "step": 670
955
+ },
956
+ {
957
+ "epoch": 0.2796188898094449,
958
+ "grad_norm": 2.7333577490037917,
959
+ "learning_rate": 9.051027904964279e-06,
960
+ "loss": 0.622,
961
+ "step": 675
962
+ },
963
+ {
964
+ "epoch": 0.28169014084507044,
965
+ "grad_norm": 3.0491907339310784,
966
+ "learning_rate": 9.029727038665765e-06,
967
+ "loss": 0.6224,
968
+ "step": 680
969
+ },
970
+ {
971
+ "epoch": 0.28376139188069593,
972
+ "grad_norm": 2.804892423129682,
973
+ "learning_rate": 9.008215409621053e-06,
974
+ "loss": 0.6079,
975
+ "step": 685
976
+ },
977
+ {
978
+ "epoch": 0.28583264291632143,
979
+ "grad_norm": 2.6893102664034725,
980
+ "learning_rate": 8.986494142931168e-06,
981
+ "loss": 0.5979,
982
+ "step": 690
983
+ },
984
+ {
985
+ "epoch": 0.287903893951947,
986
+ "grad_norm": 2.69250215446606,
987
+ "learning_rate": 8.964564374661597e-06,
988
+ "loss": 0.601,
989
+ "step": 695
990
+ },
991
+ {
992
+ "epoch": 0.2899751449875725,
993
+ "grad_norm": 2.745549147408966,
994
+ "learning_rate": 8.94242725178288e-06,
995
+ "loss": 0.6047,
996
+ "step": 700
997
+ },
998
+ {
999
+ "epoch": 0.292046396023198,
1000
+ "grad_norm": 2.814513963081923,
1001
+ "learning_rate": 8.920083932110608e-06,
1002
+ "loss": 0.5816,
1003
+ "step": 705
1004
+ },
1005
+ {
1006
+ "epoch": 0.29411764705882354,
1007
+ "grad_norm": 2.9268622951553978,
1008
+ "learning_rate": 8.89753558424488e-06,
1009
+ "loss": 0.6131,
1010
+ "step": 710
1011
+ },
1012
+ {
1013
+ "epoch": 0.29618889809444904,
1014
+ "grad_norm": 2.8629295406095427,
1015
+ "learning_rate": 8.874783387509181e-06,
1016
+ "loss": 0.5825,
1017
+ "step": 715
1018
+ },
1019
+ {
1020
+ "epoch": 0.2982601491300746,
1021
+ "grad_norm": 2.862631696140764,
1022
+ "learning_rate": 8.851828531888692e-06,
1023
+ "loss": 0.586,
1024
+ "step": 720
1025
+ },
1026
+ {
1027
+ "epoch": 0.3003314001657001,
1028
+ "grad_norm": 2.6450707993957407,
1029
+ "learning_rate": 8.828672217968055e-06,
1030
+ "loss": 0.6044,
1031
+ "step": 725
1032
+ },
1033
+ {
1034
+ "epoch": 0.3024026512013256,
1035
+ "grad_norm": 2.7777839624343894,
1036
+ "learning_rate": 8.805315656868587e-06,
1037
+ "loss": 0.5887,
1038
+ "step": 730
1039
+ },
1040
+ {
1041
+ "epoch": 0.30447390223695114,
1042
+ "grad_norm": 3.079711451209696,
1043
+ "learning_rate": 8.781760070184933e-06,
1044
+ "loss": 0.5967,
1045
+ "step": 735
1046
+ },
1047
+ {
1048
+ "epoch": 0.30654515327257664,
1049
+ "grad_norm": 2.6470021775768733,
1050
+ "learning_rate": 8.75800668992117e-06,
1051
+ "loss": 0.6012,
1052
+ "step": 740
1053
+ },
1054
+ {
1055
+ "epoch": 0.30861640430820214,
1056
+ "grad_norm": 2.632158539097956,
1057
+ "learning_rate": 8.734056758426367e-06,
1058
+ "loss": 0.5807,
1059
+ "step": 745
1060
+ },
1061
+ {
1062
+ "epoch": 0.3106876553438277,
1063
+ "grad_norm": 2.7108175778655594,
1064
+ "learning_rate": 8.709911528329623e-06,
1065
+ "loss": 0.5874,
1066
+ "step": 750
1067
+ },
1068
+ {
1069
+ "epoch": 0.3127589063794532,
1070
+ "grad_norm": 2.676873121568127,
1071
+ "learning_rate": 8.685572262474538e-06,
1072
+ "loss": 0.5902,
1073
+ "step": 755
1074
+ },
1075
+ {
1076
+ "epoch": 0.3148301574150787,
1077
+ "grad_norm": 2.7375620980248745,
1078
+ "learning_rate": 8.661040233853166e-06,
1079
+ "loss": 0.5559,
1080
+ "step": 760
1081
+ },
1082
+ {
1083
+ "epoch": 0.31690140845070425,
1084
+ "grad_norm": 2.8490016296800196,
1085
+ "learning_rate": 8.636316725539445e-06,
1086
+ "loss": 0.5809,
1087
+ "step": 765
1088
+ },
1089
+ {
1090
+ "epoch": 0.31897265948632975,
1091
+ "grad_norm": 2.699127585749091,
1092
+ "learning_rate": 8.611403030622074e-06,
1093
+ "loss": 0.5934,
1094
+ "step": 770
1095
+ },
1096
+ {
1097
+ "epoch": 0.32104391052195524,
1098
+ "grad_norm": 2.7937924462914463,
1099
+ "learning_rate": 8.586300452136895e-06,
1100
+ "loss": 0.5809,
1101
+ "step": 775
1102
+ },
1103
+ {
1104
+ "epoch": 0.3231151615575808,
1105
+ "grad_norm": 2.769306106741451,
1106
+ "learning_rate": 8.561010302998734e-06,
1107
+ "loss": 0.5936,
1108
+ "step": 780
1109
+ },
1110
+ {
1111
+ "epoch": 0.3251864125932063,
1112
+ "grad_norm": 2.7727931886537327,
1113
+ "learning_rate": 8.535533905932739e-06,
1114
+ "loss": 0.5877,
1115
+ "step": 785
1116
+ },
1117
+ {
1118
+ "epoch": 0.3272576636288318,
1119
+ "grad_norm": 2.7160030705029463,
1120
+ "learning_rate": 8.509872593405189e-06,
1121
+ "loss": 0.577,
1122
+ "step": 790
1123
+ },
1124
+ {
1125
+ "epoch": 0.32932891466445735,
1126
+ "grad_norm": 2.8193068873263147,
1127
+ "learning_rate": 8.484027707553818e-06,
1128
+ "loss": 0.5849,
1129
+ "step": 795
1130
+ },
1131
+ {
1132
+ "epoch": 0.33140016570008285,
1133
+ "grad_norm": 2.6677224808649624,
1134
+ "learning_rate": 8.458000600117604e-06,
1135
+ "loss": 0.5769,
1136
+ "step": 800
1137
+ },
1138
+ {
1139
+ "epoch": 0.33347141673570835,
1140
+ "grad_norm": 2.7583639483208295,
1141
+ "learning_rate": 8.43179263236608e-06,
1142
+ "loss": 0.5692,
1143
+ "step": 805
1144
+ },
1145
+ {
1146
+ "epoch": 0.3355426677713339,
1147
+ "grad_norm": 2.6729706959933357,
1148
+ "learning_rate": 8.40540517502813e-06,
1149
+ "loss": 0.5698,
1150
+ "step": 810
1151
+ },
1152
+ {
1153
+ "epoch": 0.3376139188069594,
1154
+ "grad_norm": 2.641297931390912,
1155
+ "learning_rate": 8.378839608220304e-06,
1156
+ "loss": 0.5688,
1157
+ "step": 815
1158
+ },
1159
+ {
1160
+ "epoch": 0.3396851698425849,
1161
+ "grad_norm": 2.569908946691123,
1162
+ "learning_rate": 8.35209732137463e-06,
1163
+ "loss": 0.564,
1164
+ "step": 820
1165
+ },
1166
+ {
1167
+ "epoch": 0.34175642087821045,
1168
+ "grad_norm": 2.7384094120020728,
1169
+ "learning_rate": 8.32517971316595e-06,
1170
+ "loss": 0.5629,
1171
+ "step": 825
1172
+ },
1173
+ {
1174
+ "epoch": 0.34382767191383595,
1175
+ "grad_norm": 2.703316718621585,
1176
+ "learning_rate": 8.298088191438753e-06,
1177
+ "loss": 0.5651,
1178
+ "step": 830
1179
+ },
1180
+ {
1181
+ "epoch": 0.34589892294946145,
1182
+ "grad_norm": 2.660556164602584,
1183
+ "learning_rate": 8.270824173133563e-06,
1184
+ "loss": 0.5609,
1185
+ "step": 835
1186
+ },
1187
+ {
1188
+ "epoch": 0.347970173985087,
1189
+ "grad_norm": 2.60747703062317,
1190
+ "learning_rate": 8.243389084212808e-06,
1191
+ "loss": 0.5513,
1192
+ "step": 840
1193
+ },
1194
+ {
1195
+ "epoch": 0.3500414250207125,
1196
+ "grad_norm": 2.717999035175483,
1197
+ "learning_rate": 8.215784359586257e-06,
1198
+ "loss": 0.5576,
1199
+ "step": 845
1200
+ },
1201
+ {
1202
+ "epoch": 0.352112676056338,
1203
+ "grad_norm": 2.6267818958939544,
1204
+ "learning_rate": 8.188011443035962e-06,
1205
+ "loss": 0.5685,
1206
+ "step": 850
1207
+ },
1208
+ {
1209
+ "epoch": 0.35418392709196356,
1210
+ "grad_norm": 2.6776314235505687,
1211
+ "learning_rate": 8.160071787140742e-06,
1212
+ "loss": 0.5645,
1213
+ "step": 855
1214
+ },
1215
+ {
1216
+ "epoch": 0.35625517812758906,
1217
+ "grad_norm": 2.6505501839520194,
1218
+ "learning_rate": 8.131966853200226e-06,
1219
+ "loss": 0.5397,
1220
+ "step": 860
1221
+ },
1222
+ {
1223
+ "epoch": 0.35832642916321455,
1224
+ "grad_norm": 2.840835300889455,
1225
+ "learning_rate": 8.103698111158405e-06,
1226
+ "loss": 0.5545,
1227
+ "step": 865
1228
+ },
1229
+ {
1230
+ "epoch": 0.3603976801988401,
1231
+ "grad_norm": 2.6348466544480234,
1232
+ "learning_rate": 8.075267039526764e-06,
1233
+ "loss": 0.5413,
1234
+ "step": 870
1235
+ },
1236
+ {
1237
+ "epoch": 0.3624689312344656,
1238
+ "grad_norm": 2.7064544291801,
1239
+ "learning_rate": 8.046675125306948e-06,
1240
+ "loss": 0.5324,
1241
+ "step": 875
1242
+ },
1243
+ {
1244
+ "epoch": 0.36454018227009116,
1245
+ "grad_norm": 2.533264278841598,
1246
+ "learning_rate": 8.017923863912989e-06,
1247
+ "loss": 0.5439,
1248
+ "step": 880
1249
+ },
1250
+ {
1251
+ "epoch": 0.36661143330571666,
1252
+ "grad_norm": 2.5698740147958636,
1253
+ "learning_rate": 7.989014759093095e-06,
1254
+ "loss": 0.5234,
1255
+ "step": 885
1256
+ },
1257
+ {
1258
+ "epoch": 0.36868268434134216,
1259
+ "grad_norm": 2.650820323691549,
1260
+ "learning_rate": 7.959949322850994e-06,
1261
+ "loss": 0.5368,
1262
+ "step": 890
1263
+ },
1264
+ {
1265
+ "epoch": 0.3707539353769677,
1266
+ "grad_norm": 2.5026566853575574,
1267
+ "learning_rate": 7.930729075366867e-06,
1268
+ "loss": 0.5303,
1269
+ "step": 895
1270
+ },
1271
+ {
1272
+ "epoch": 0.3728251864125932,
1273
+ "grad_norm": 2.606393560750939,
1274
+ "learning_rate": 7.901355544917827e-06,
1275
+ "loss": 0.5349,
1276
+ "step": 900
1277
+ },
1278
+ {
1279
+ "epoch": 0.3748964374482187,
1280
+ "grad_norm": 2.7177209606874837,
1281
+ "learning_rate": 7.87183026779799e-06,
1282
+ "loss": 0.5322,
1283
+ "step": 905
1284
+ },
1285
+ {
1286
+ "epoch": 0.37696768848384427,
1287
+ "grad_norm": 2.7325337591856482,
1288
+ "learning_rate": 7.842154788238124e-06,
1289
+ "loss": 0.5411,
1290
+ "step": 910
1291
+ },
1292
+ {
1293
+ "epoch": 0.37903893951946976,
1294
+ "grad_norm": 2.633934908338642,
1295
+ "learning_rate": 7.812330658324884e-06,
1296
+ "loss": 0.5452,
1297
+ "step": 915
1298
+ },
1299
+ {
1300
+ "epoch": 0.38111019055509526,
1301
+ "grad_norm": 2.5378522460092197,
1302
+ "learning_rate": 7.782359437919644e-06,
1303
+ "loss": 0.5312,
1304
+ "step": 920
1305
+ },
1306
+ {
1307
+ "epoch": 0.3831814415907208,
1308
+ "grad_norm": 2.594725922812132,
1309
+ "learning_rate": 7.75224269457689e-06,
1310
+ "loss": 0.5349,
1311
+ "step": 925
1312
+ },
1313
+ {
1314
+ "epoch": 0.3852526926263463,
1315
+ "grad_norm": 2.5768563073476822,
1316
+ "learning_rate": 7.721982003462255e-06,
1317
+ "loss": 0.5426,
1318
+ "step": 930
1319
+ },
1320
+ {
1321
+ "epoch": 0.3873239436619718,
1322
+ "grad_norm": 2.7238722942400884,
1323
+ "learning_rate": 7.691578947270122e-06,
1324
+ "loss": 0.5307,
1325
+ "step": 935
1326
+ },
1327
+ {
1328
+ "epoch": 0.38939519469759737,
1329
+ "grad_norm": 2.511458813651525,
1330
+ "learning_rate": 7.661035116140856e-06,
1331
+ "loss": 0.5147,
1332
+ "step": 940
1333
+ },
1334
+ {
1335
+ "epoch": 0.39146644573322287,
1336
+ "grad_norm": 2.7270220375577066,
1337
+ "learning_rate": 7.63035210757763e-06,
1338
+ "loss": 0.5052,
1339
+ "step": 945
1340
+ },
1341
+ {
1342
+ "epoch": 0.39353769676884837,
1343
+ "grad_norm": 2.623071761450853,
1344
+ "learning_rate": 7.599531526362873e-06,
1345
+ "loss": 0.525,
1346
+ "step": 950
1347
+ },
1348
+ {
1349
+ "epoch": 0.3956089478044739,
1350
+ "grad_norm": 2.6264824183942213,
1351
+ "learning_rate": 7.568574984474335e-06,
1352
+ "loss": 0.5224,
1353
+ "step": 955
1354
+ },
1355
+ {
1356
+ "epoch": 0.3976801988400994,
1357
+ "grad_norm": 2.6012679357411086,
1358
+ "learning_rate": 7.537484101000787e-06,
1359
+ "loss": 0.5255,
1360
+ "step": 960
1361
+ },
1362
+ {
1363
+ "epoch": 0.3997514498757249,
1364
+ "grad_norm": 2.55160475771275,
1365
+ "learning_rate": 7.506260502057325e-06,
1366
+ "loss": 0.5309,
1367
+ "step": 965
1368
+ },
1369
+ {
1370
+ "epoch": 0.40182270091135047,
1371
+ "grad_norm": 2.4346011440951627,
1372
+ "learning_rate": 7.474905820700334e-06,
1373
+ "loss": 0.5064,
1374
+ "step": 970
1375
+ },
1376
+ {
1377
+ "epoch": 0.40389395194697597,
1378
+ "grad_norm": 2.5979458980564867,
1379
+ "learning_rate": 7.443421696842066e-06,
1380
+ "loss": 0.5094,
1381
+ "step": 975
1382
+ },
1383
+ {
1384
+ "epoch": 0.40596520298260147,
1385
+ "grad_norm": 2.7888112093300643,
1386
+ "learning_rate": 7.411809777164873e-06,
1387
+ "loss": 0.5183,
1388
+ "step": 980
1389
+ },
1390
+ {
1391
+ "epoch": 0.408036454018227,
1392
+ "grad_norm": 2.4885203243420735,
1393
+ "learning_rate": 7.380071715035089e-06,
1394
+ "loss": 0.5249,
1395
+ "step": 985
1396
+ },
1397
+ {
1398
+ "epoch": 0.4101077050538525,
1399
+ "grad_norm": 2.7714914857659965,
1400
+ "learning_rate": 7.3482091704165405e-06,
1401
+ "loss": 0.5073,
1402
+ "step": 990
1403
+ },
1404
+ {
1405
+ "epoch": 0.412178956089478,
1406
+ "grad_norm": 2.614607486361334,
1407
+ "learning_rate": 7.316223809783745e-06,
1408
+ "loss": 0.5253,
1409
+ "step": 995
1410
+ },
1411
+ {
1412
+ "epoch": 0.4142502071251036,
1413
+ "grad_norm": 2.5290816828485054,
1414
+ "learning_rate": 7.284117306034733e-06,
1415
+ "loss": 0.498,
1416
+ "step": 1000
1417
+ },
1418
+ {
1419
+ "epoch": 0.4163214581607291,
1420
+ "grad_norm": 2.658163333493523,
1421
+ "learning_rate": 7.2518913384035685e-06,
1422
+ "loss": 0.517,
1423
+ "step": 1005
1424
+ },
1425
+ {
1426
+ "epoch": 0.4183927091963546,
1427
+ "grad_norm": 2.635643720493481,
1428
+ "learning_rate": 7.219547592372512e-06,
1429
+ "loss": 0.4942,
1430
+ "step": 1010
1431
+ },
1432
+ {
1433
+ "epoch": 0.4204639602319801,
1434
+ "grad_norm": 2.4911628142287903,
1435
+ "learning_rate": 7.187087759583869e-06,
1436
+ "loss": 0.4977,
1437
+ "step": 1015
1438
+ },
1439
+ {
1440
+ "epoch": 0.4225352112676056,
1441
+ "grad_norm": 2.5975015336888148,
1442
+ "learning_rate": 7.15451353775151e-06,
1443
+ "loss": 0.5091,
1444
+ "step": 1020
1445
+ },
1446
+ {
1447
+ "epoch": 0.4246064623032311,
1448
+ "grad_norm": 2.5595125829959224,
1449
+ "learning_rate": 7.121826630572084e-06,
1450
+ "loss": 0.4985,
1451
+ "step": 1025
1452
+ },
1453
+ {
1454
+ "epoch": 0.4266777133388567,
1455
+ "grad_norm": 2.5325553784547874,
1456
+ "learning_rate": 7.089028747635908e-06,
1457
+ "loss": 0.4966,
1458
+ "step": 1030
1459
+ },
1460
+ {
1461
+ "epoch": 0.4287489643744822,
1462
+ "grad_norm": 2.52826031642588,
1463
+ "learning_rate": 7.056121604337554e-06,
1464
+ "loss": 0.4943,
1465
+ "step": 1035
1466
+ },
1467
+ {
1468
+ "epoch": 0.43082021541010773,
1469
+ "grad_norm": 2.427352999890359,
1470
+ "learning_rate": 7.023106921786118e-06,
1471
+ "loss": 0.5069,
1472
+ "step": 1040
1473
+ },
1474
+ {
1475
+ "epoch": 0.43289146644573323,
1476
+ "grad_norm": 2.775128162589827,
1477
+ "learning_rate": 6.9899864267152275e-06,
1478
+ "loss": 0.4971,
1479
+ "step": 1045
1480
+ },
1481
+ {
1482
+ "epoch": 0.43496271748135873,
1483
+ "grad_norm": 2.461227676382275,
1484
+ "learning_rate": 6.956761851392706e-06,
1485
+ "loss": 0.5014,
1486
+ "step": 1050
1487
+ },
1488
+ {
1489
+ "epoch": 0.4370339685169843,
1490
+ "grad_norm": 2.5269545040942916,
1491
+ "learning_rate": 6.9234349335299835e-06,
1492
+ "loss": 0.503,
1493
+ "step": 1055
1494
+ },
1495
+ {
1496
+ "epoch": 0.4391052195526098,
1497
+ "grad_norm": 2.394453478310078,
1498
+ "learning_rate": 6.890007416191209e-06,
1499
+ "loss": 0.4973,
1500
+ "step": 1060
1501
+ },
1502
+ {
1503
+ "epoch": 0.4411764705882353,
1504
+ "grad_norm": 2.403311053474268,
1505
+ "learning_rate": 6.8564810477020835e-06,
1506
+ "loss": 0.4625,
1507
+ "step": 1065
1508
+ },
1509
+ {
1510
+ "epoch": 0.44324772162386084,
1511
+ "grad_norm": 2.547625977515838,
1512
+ "learning_rate": 6.822857581558423e-06,
1513
+ "loss": 0.4977,
1514
+ "step": 1070
1515
+ },
1516
+ {
1517
+ "epoch": 0.44531897265948633,
1518
+ "grad_norm": 2.4609332754827564,
1519
+ "learning_rate": 6.789138776334441e-06,
1520
+ "loss": 0.4956,
1521
+ "step": 1075
1522
+ },
1523
+ {
1524
+ "epoch": 0.44739022369511183,
1525
+ "grad_norm": 2.4858053793498525,
1526
+ "learning_rate": 6.7553263955907755e-06,
1527
+ "loss": 0.4941,
1528
+ "step": 1080
1529
+ },
1530
+ {
1531
+ "epoch": 0.4494614747307374,
1532
+ "grad_norm": 2.4015768436682654,
1533
+ "learning_rate": 6.721422207782249e-06,
1534
+ "loss": 0.4776,
1535
+ "step": 1085
1536
+ },
1537
+ {
1538
+ "epoch": 0.4515327257663629,
1539
+ "grad_norm": 2.863324693290168,
1540
+ "learning_rate": 6.687427986165379e-06,
1541
+ "loss": 0.478,
1542
+ "step": 1090
1543
+ },
1544
+ {
1545
+ "epoch": 0.4536039768019884,
1546
+ "grad_norm": 2.471162662938083,
1547
+ "learning_rate": 6.653345508705629e-06,
1548
+ "loss": 0.4878,
1549
+ "step": 1095
1550
+ },
1551
+ {
1552
+ "epoch": 0.45567522783761394,
1553
+ "grad_norm": 2.4277728219037087,
1554
+ "learning_rate": 6.6191765579844205e-06,
1555
+ "loss": 0.4805,
1556
+ "step": 1100
1557
+ },
1558
+ {
1559
+ "epoch": 0.45774647887323944,
1560
+ "grad_norm": 2.678570884207627,
1561
+ "learning_rate": 6.584922921105894e-06,
1562
+ "loss": 0.4781,
1563
+ "step": 1105
1564
+ },
1565
+ {
1566
+ "epoch": 0.45981772990886494,
1567
+ "grad_norm": 2.532089285295406,
1568
+ "learning_rate": 6.550586389603451e-06,
1569
+ "loss": 0.4687,
1570
+ "step": 1110
1571
+ },
1572
+ {
1573
+ "epoch": 0.4618889809444905,
1574
+ "grad_norm": 2.5649088008217804,
1575
+ "learning_rate": 6.5161687593460395e-06,
1576
+ "loss": 0.4692,
1577
+ "step": 1115
1578
+ },
1579
+ {
1580
+ "epoch": 0.463960231980116,
1581
+ "grad_norm": 2.4747899161662548,
1582
+ "learning_rate": 6.481671830444243e-06,
1583
+ "loss": 0.4904,
1584
+ "step": 1120
1585
+ },
1586
+ {
1587
+ "epoch": 0.4660314830157415,
1588
+ "grad_norm": 2.529769284750395,
1589
+ "learning_rate": 6.447097407156114e-06,
1590
+ "loss": 0.4777,
1591
+ "step": 1125
1592
+ },
1593
+ {
1594
+ "epoch": 0.46810273405136704,
1595
+ "grad_norm": 2.4796272753405266,
1596
+ "learning_rate": 6.412447297792818e-06,
1597
+ "loss": 0.4712,
1598
+ "step": 1130
1599
+ },
1600
+ {
1601
+ "epoch": 0.47017398508699254,
1602
+ "grad_norm": 2.486729070834996,
1603
+ "learning_rate": 6.377723314624057e-06,
1604
+ "loss": 0.4733,
1605
+ "step": 1135
1606
+ },
1607
+ {
1608
+ "epoch": 0.47224523612261804,
1609
+ "grad_norm": 2.447720009959368,
1610
+ "learning_rate": 6.3429272737832726e-06,
1611
+ "loss": 0.4817,
1612
+ "step": 1140
1613
+ },
1614
+ {
1615
+ "epoch": 0.4743164871582436,
1616
+ "grad_norm": 2.475066169419796,
1617
+ "learning_rate": 6.308060995172673e-06,
1618
+ "loss": 0.4446,
1619
+ "step": 1145
1620
+ },
1621
+ {
1622
+ "epoch": 0.4763877381938691,
1623
+ "grad_norm": 2.604837459035885,
1624
+ "learning_rate": 6.273126302368037e-06,
1625
+ "loss": 0.4527,
1626
+ "step": 1150
1627
+ },
1628
+ {
1629
+ "epoch": 0.4784589892294946,
1630
+ "grad_norm": 2.626085677583465,
1631
+ "learning_rate": 6.238125022523343e-06,
1632
+ "loss": 0.4731,
1633
+ "step": 1155
1634
+ },
1635
+ {
1636
+ "epoch": 0.48053024026512015,
1637
+ "grad_norm": 2.489403917845554,
1638
+ "learning_rate": 6.203058986275207e-06,
1639
+ "loss": 0.4693,
1640
+ "step": 1160
1641
+ },
1642
+ {
1643
+ "epoch": 0.48260149130074564,
1644
+ "grad_norm": 2.5408918650775423,
1645
+ "learning_rate": 6.1679300276471285e-06,
1646
+ "loss": 0.4703,
1647
+ "step": 1165
1648
+ },
1649
+ {
1650
+ "epoch": 0.48467274233637114,
1651
+ "grad_norm": 2.5741432676541023,
1652
+ "learning_rate": 6.132739983953579e-06,
1653
+ "loss": 0.4574,
1654
+ "step": 1170
1655
+ },
1656
+ {
1657
+ "epoch": 0.4867439933719967,
1658
+ "grad_norm": 2.5055987629878875,
1659
+ "learning_rate": 6.097490695703896e-06,
1660
+ "loss": 0.4598,
1661
+ "step": 1175
1662
+ },
1663
+ {
1664
+ "epoch": 0.4888152444076222,
1665
+ "grad_norm": 2.599659752996103,
1666
+ "learning_rate": 6.062184006506027e-06,
1667
+ "loss": 0.4616,
1668
+ "step": 1180
1669
+ },
1670
+ {
1671
+ "epoch": 0.4908864954432477,
1672
+ "grad_norm": 2.5766536661712345,
1673
+ "learning_rate": 6.026821762970102e-06,
1674
+ "loss": 0.4655,
1675
+ "step": 1185
1676
+ },
1677
+ {
1678
+ "epoch": 0.49295774647887325,
1679
+ "grad_norm": 2.576398426328721,
1680
+ "learning_rate": 5.991405814611855e-06,
1681
+ "loss": 0.455,
1682
+ "step": 1190
1683
+ },
1684
+ {
1685
+ "epoch": 0.49502899751449875,
1686
+ "grad_norm": 2.378065054333025,
1687
+ "learning_rate": 5.955938013755888e-06,
1688
+ "loss": 0.4657,
1689
+ "step": 1195
1690
+ },
1691
+ {
1692
+ "epoch": 0.4971002485501243,
1693
+ "grad_norm": 2.5777328764366843,
1694
+ "learning_rate": 5.920420215438794e-06,
1695
+ "loss": 0.4536,
1696
+ "step": 1200
1697
+ },
1698
+ {
1699
+ "epoch": 0.4991714995857498,
1700
+ "grad_norm": 2.590032178484324,
1701
+ "learning_rate": 5.8848542773121285e-06,
1702
+ "loss": 0.4709,
1703
+ "step": 1205
1704
+ },
1705
+ {
1706
+ "epoch": 0.5012427506213754,
1707
+ "grad_norm": 2.6721053688454908,
1708
+ "learning_rate": 5.849242059545259e-06,
1709
+ "loss": 0.4536,
1710
+ "step": 1210
1711
+ },
1712
+ {
1713
+ "epoch": 0.5033140016570008,
1714
+ "grad_norm": 2.492216069957813,
1715
+ "learning_rate": 5.81358542472807e-06,
1716
+ "loss": 0.4565,
1717
+ "step": 1215
1718
+ },
1719
+ {
1720
+ "epoch": 0.5053852526926264,
1721
+ "grad_norm": 2.5630596324380224,
1722
+ "learning_rate": 5.777886237773542e-06,
1723
+ "loss": 0.4701,
1724
+ "step": 1220
1725
+ },
1726
+ {
1727
+ "epoch": 0.5074565037282519,
1728
+ "grad_norm": 2.507245052161205,
1729
+ "learning_rate": 5.742146365820223e-06,
1730
+ "loss": 0.453,
1731
+ "step": 1225
1732
+ },
1733
+ {
1734
+ "epoch": 0.5095277547638773,
1735
+ "grad_norm": 2.4042777020925645,
1736
+ "learning_rate": 5.706367678134562e-06,
1737
+ "loss": 0.453,
1738
+ "step": 1230
1739
+ },
1740
+ {
1741
+ "epoch": 0.5115990057995029,
1742
+ "grad_norm": 2.5265503464847328,
1743
+ "learning_rate": 5.670552046013151e-06,
1744
+ "loss": 0.4502,
1745
+ "step": 1235
1746
+ },
1747
+ {
1748
+ "epoch": 0.5136702568351285,
1749
+ "grad_norm": 2.8403722966962284,
1750
+ "learning_rate": 5.634701342684852e-06,
1751
+ "loss": 0.451,
1752
+ "step": 1240
1753
+ },
1754
+ {
1755
+ "epoch": 0.5157415078707539,
1756
+ "grad_norm": 2.5437149212702392,
1757
+ "learning_rate": 5.598817443212813e-06,
1758
+ "loss": 0.4357,
1759
+ "step": 1245
1760
+ },
1761
+ {
1762
+ "epoch": 0.5178127589063795,
1763
+ "grad_norm": 2.5209421401735272,
1764
+ "learning_rate": 5.562902224396416e-06,
1765
+ "loss": 0.4476,
1766
+ "step": 1250
1767
+ },
1768
+ {
1769
+ "epoch": 0.519884009942005,
1770
+ "grad_norm": 2.406037647219463,
1771
+ "learning_rate": 5.526957564673098e-06,
1772
+ "loss": 0.438,
1773
+ "step": 1255
1774
+ },
1775
+ {
1776
+ "epoch": 0.5219552609776305,
1777
+ "grad_norm": 2.44986117662171,
1778
+ "learning_rate": 5.49098534402012e-06,
1779
+ "loss": 0.4353,
1780
+ "step": 1260
1781
+ },
1782
+ {
1783
+ "epoch": 0.524026512013256,
1784
+ "grad_norm": 2.496524011645464,
1785
+ "learning_rate": 5.454987443856235e-06,
1786
+ "loss": 0.4415,
1787
+ "step": 1265
1788
+ },
1789
+ {
1790
+ "epoch": 0.5260977630488816,
1791
+ "grad_norm": 2.4598099313435675,
1792
+ "learning_rate": 5.418965746943281e-06,
1793
+ "loss": 0.427,
1794
+ "step": 1270
1795
+ },
1796
+ {
1797
+ "epoch": 0.528169014084507,
1798
+ "grad_norm": 2.51587918880957,
1799
+ "learning_rate": 5.3829221372877175e-06,
1800
+ "loss": 0.4432,
1801
+ "step": 1275
1802
+ },
1803
+ {
1804
+ "epoch": 0.5302402651201326,
1805
+ "grad_norm": 2.385525721474367,
1806
+ "learning_rate": 5.34685850004208e-06,
1807
+ "loss": 0.446,
1808
+ "step": 1280
1809
+ },
1810
+ {
1811
+ "epoch": 0.5323115161557581,
1812
+ "grad_norm": 2.6024656561083237,
1813
+ "learning_rate": 5.310776721406392e-06,
1814
+ "loss": 0.4383,
1815
+ "step": 1285
1816
+ },
1817
+ {
1818
+ "epoch": 0.5343827671913836,
1819
+ "grad_norm": 2.478361664190618,
1820
+ "learning_rate": 5.2746786885295034e-06,
1821
+ "loss": 0.4469,
1822
+ "step": 1290
1823
+ },
1824
+ {
1825
+ "epoch": 0.5364540182270091,
1826
+ "grad_norm": 2.462559560068187,
1827
+ "learning_rate": 5.238566289410396e-06,
1828
+ "loss": 0.4445,
1829
+ "step": 1295
1830
+ },
1831
+ {
1832
+ "epoch": 0.5385252692626347,
1833
+ "grad_norm": 2.5652360752702705,
1834
+ "learning_rate": 5.2024414127994325e-06,
1835
+ "loss": 0.4268,
1836
+ "step": 1300
1837
+ },
1838
+ {
1839
+ "epoch": 0.5405965202982601,
1840
+ "grad_norm": 2.479268879286496,
1841
+ "learning_rate": 5.166305948099574e-06,
1842
+ "loss": 0.4411,
1843
+ "step": 1305
1844
+ },
1845
+ {
1846
+ "epoch": 0.5426677713338857,
1847
+ "grad_norm": 2.4814080548859536,
1848
+ "learning_rate": 5.13016178526756e-06,
1849
+ "loss": 0.4337,
1850
+ "step": 1310
1851
+ },
1852
+ {
1853
+ "epoch": 0.5447390223695112,
1854
+ "grad_norm": 2.518581213893244,
1855
+ "learning_rate": 5.094010814715062e-06,
1856
+ "loss": 0.4361,
1857
+ "step": 1315
1858
+ },
1859
+ {
1860
+ "epoch": 0.5468102734051367,
1861
+ "grad_norm": 2.375407800118248,
1862
+ "learning_rate": 5.057854927209804e-06,
1863
+ "loss": 0.4333,
1864
+ "step": 1320
1865
+ },
1866
+ {
1867
+ "epoch": 0.5488815244407622,
1868
+ "grad_norm": 2.4443582316359582,
1869
+ "learning_rate": 5.0216960137766805e-06,
1870
+ "loss": 0.4253,
1871
+ "step": 1325
1872
+ },
1873
+ {
1874
+ "epoch": 0.5509527754763878,
1875
+ "grad_norm": 2.5441411002094783,
1876
+ "learning_rate": 4.985535965598843e-06,
1877
+ "loss": 0.4305,
1878
+ "step": 1330
1879
+ },
1880
+ {
1881
+ "epoch": 0.5530240265120132,
1882
+ "grad_norm": 2.4305764050134955,
1883
+ "learning_rate": 4.949376673918802e-06,
1884
+ "loss": 0.4248,
1885
+ "step": 1335
1886
+ },
1887
+ {
1888
+ "epoch": 0.5550952775476388,
1889
+ "grad_norm": 2.5334727900548994,
1890
+ "learning_rate": 4.913220029939491e-06,
1891
+ "loss": 0.4141,
1892
+ "step": 1340
1893
+ },
1894
+ {
1895
+ "epoch": 0.5571665285832643,
1896
+ "grad_norm": 2.5234820724710683,
1897
+ "learning_rate": 4.877067924725368e-06,
1898
+ "loss": 0.4332,
1899
+ "step": 1345
1900
+ },
1901
+ {
1902
+ "epoch": 0.5592377796188898,
1903
+ "grad_norm": 2.4799505423568946,
1904
+ "learning_rate": 4.840922249103506e-06,
1905
+ "loss": 0.4318,
1906
+ "step": 1350
1907
+ },
1908
+ {
1909
+ "epoch": 0.5613090306545153,
1910
+ "grad_norm": 2.5121729317010164,
1911
+ "learning_rate": 4.804784893564697e-06,
1912
+ "loss": 0.4389,
1913
+ "step": 1355
1914
+ },
1915
+ {
1916
+ "epoch": 0.5633802816901409,
1917
+ "grad_norm": 2.3947951693271303,
1918
+ "learning_rate": 4.7686577481645745e-06,
1919
+ "loss": 0.4143,
1920
+ "step": 1360
1921
+ },
1922
+ {
1923
+ "epoch": 0.5654515327257663,
1924
+ "grad_norm": 2.5337735975104194,
1925
+ "learning_rate": 4.732542702424759e-06,
1926
+ "loss": 0.4289,
1927
+ "step": 1365
1928
+ },
1929
+ {
1930
+ "epoch": 0.5675227837613919,
1931
+ "grad_norm": 2.434769812531381,
1932
+ "learning_rate": 4.696441645234042e-06,
1933
+ "loss": 0.4236,
1934
+ "step": 1370
1935
+ },
1936
+ {
1937
+ "epoch": 0.5695940347970174,
1938
+ "grad_norm": 2.5167542766488804,
1939
+ "learning_rate": 4.660356464749578e-06,
1940
+ "loss": 0.4306,
1941
+ "step": 1375
1942
+ },
1943
+ {
1944
+ "epoch": 0.5716652858326429,
1945
+ "grad_norm": 2.3974566625882336,
1946
+ "learning_rate": 4.624289048298147e-06,
1947
+ "loss": 0.4114,
1948
+ "step": 1380
1949
+ },
1950
+ {
1951
+ "epoch": 0.5737365368682684,
1952
+ "grad_norm": 2.385989686167348,
1953
+ "learning_rate": 4.588241282277428e-06,
1954
+ "loss": 0.4222,
1955
+ "step": 1385
1956
+ },
1957
+ {
1958
+ "epoch": 0.575807787903894,
1959
+ "grad_norm": 2.3379950890042136,
1960
+ "learning_rate": 4.55221505205734e-06,
1961
+ "loss": 0.4167,
1962
+ "step": 1390
1963
+ },
1964
+ {
1965
+ "epoch": 0.5778790389395194,
1966
+ "grad_norm": 2.6245882848438544,
1967
+ "learning_rate": 4.516212241881448e-06,
1968
+ "loss": 0.4096,
1969
+ "step": 1395
1970
+ },
1971
+ {
1972
+ "epoch": 0.579950289975145,
1973
+ "grad_norm": 2.283991444400329,
1974
+ "learning_rate": 4.480234734768393e-06,
1975
+ "loss": 0.4165,
1976
+ "step": 1400
1977
+ },
1978
+ {
1979
+ "epoch": 0.5820215410107705,
1980
+ "grad_norm": 2.498405431139293,
1981
+ "learning_rate": 4.444284412413418e-06,
1982
+ "loss": 0.4138,
1983
+ "step": 1405
1984
+ },
1985
+ {
1986
+ "epoch": 0.584092792046396,
1987
+ "grad_norm": 2.355256842651903,
1988
+ "learning_rate": 4.408363155089952e-06,
1989
+ "loss": 0.4086,
1990
+ "step": 1410
1991
+ },
1992
+ {
1993
+ "epoch": 0.5861640430820215,
1994
+ "grad_norm": 2.511272069011922,
1995
+ "learning_rate": 4.3724728415512585e-06,
1996
+ "loss": 0.4173,
1997
+ "step": 1415
1998
+ },
1999
+ {
2000
+ "epoch": 0.5882352941176471,
2001
+ "grad_norm": 2.5460297743905187,
2002
+ "learning_rate": 4.3366153489321855e-06,
2003
+ "loss": 0.4049,
2004
+ "step": 1420
2005
+ },
2006
+ {
2007
+ "epoch": 0.5903065451532725,
2008
+ "grad_norm": 2.5260852357481927,
2009
+ "learning_rate": 4.30079255265098e-06,
2010
+ "loss": 0.4194,
2011
+ "step": 1425
2012
+ },
2013
+ {
2014
+ "epoch": 0.5923777961888981,
2015
+ "grad_norm": 2.3738308604652167,
2016
+ "learning_rate": 4.265006326311199e-06,
2017
+ "loss": 0.4124,
2018
+ "step": 1430
2019
+ },
2020
+ {
2021
+ "epoch": 0.5944490472245236,
2022
+ "grad_norm": 2.370218652591744,
2023
+ "learning_rate": 4.229258541603723e-06,
2024
+ "loss": 0.3977,
2025
+ "step": 1435
2026
+ },
2027
+ {
2028
+ "epoch": 0.5965202982601492,
2029
+ "grad_norm": 2.284788920612559,
2030
+ "learning_rate": 4.1935510682088545e-06,
2031
+ "loss": 0.4098,
2032
+ "step": 1440
2033
+ },
2034
+ {
2035
+ "epoch": 0.5985915492957746,
2036
+ "grad_norm": 2.3819155019816303,
2037
+ "learning_rate": 4.157885773698535e-06,
2038
+ "loss": 0.4007,
2039
+ "step": 1445
2040
+ },
2041
+ {
2042
+ "epoch": 0.6006628003314002,
2043
+ "grad_norm": 2.439446100087243,
2044
+ "learning_rate": 4.122264523438668e-06,
2045
+ "loss": 0.4002,
2046
+ "step": 1450
2047
+ },
2048
+ {
2049
+ "epoch": 0.6027340513670257,
2050
+ "grad_norm": 2.3813825718286883,
2051
+ "learning_rate": 4.086689180491554e-06,
2052
+ "loss": 0.3994,
2053
+ "step": 1455
2054
+ },
2055
+ {
2056
+ "epoch": 0.6048053024026512,
2057
+ "grad_norm": 2.408250839202308,
2058
+ "learning_rate": 4.051161605518453e-06,
2059
+ "loss": 0.3975,
2060
+ "step": 1460
2061
+ },
2062
+ {
2063
+ "epoch": 0.6068765534382767,
2064
+ "grad_norm": 2.452576823642211,
2065
+ "learning_rate": 4.015683656682255e-06,
2066
+ "loss": 0.406,
2067
+ "step": 1465
2068
+ },
2069
+ {
2070
+ "epoch": 0.6089478044739023,
2071
+ "grad_norm": 2.384778355857051,
2072
+ "learning_rate": 3.980257189550316e-06,
2073
+ "loss": 0.3991,
2074
+ "step": 1470
2075
+ },
2076
+ {
2077
+ "epoch": 0.6110190555095277,
2078
+ "grad_norm": 2.288031466247923,
2079
+ "learning_rate": 3.94488405699739e-06,
2080
+ "loss": 0.3841,
2081
+ "step": 1475
2082
+ },
2083
+ {
2084
+ "epoch": 0.6130903065451533,
2085
+ "grad_norm": 2.4325130154405263,
2086
+ "learning_rate": 3.909566109108727e-06,
2087
+ "loss": 0.4052,
2088
+ "step": 1480
2089
+ },
2090
+ {
2091
+ "epoch": 0.6151615575807788,
2092
+ "grad_norm": 2.4621406129863526,
2093
+ "learning_rate": 3.874305193083313e-06,
2094
+ "loss": 0.4064,
2095
+ "step": 1485
2096
+ },
2097
+ {
2098
+ "epoch": 0.6172328086164043,
2099
+ "grad_norm": 2.4148001556880123,
2100
+ "learning_rate": 3.839103153137247e-06,
2101
+ "loss": 0.4013,
2102
+ "step": 1490
2103
+ },
2104
+ {
2105
+ "epoch": 0.6193040596520298,
2106
+ "grad_norm": 2.527488147311755,
2107
+ "learning_rate": 3.803961830407297e-06,
2108
+ "loss": 0.4141,
2109
+ "step": 1495
2110
+ },
2111
+ {
2112
+ "epoch": 0.6213753106876554,
2113
+ "grad_norm": 2.4140596278075095,
2114
+ "learning_rate": 3.768883062854598e-06,
2115
+ "loss": 0.3958,
2116
+ "step": 1500
2117
+ },
2118
+ {
2119
+ "epoch": 0.6234465617232808,
2120
+ "grad_norm": 2.3671251798358925,
2121
+ "learning_rate": 3.7338686851685267e-06,
2122
+ "loss": 0.3954,
2123
+ "step": 1505
2124
+ },
2125
+ {
2126
+ "epoch": 0.6255178127589064,
2127
+ "grad_norm": 2.3443935871907984,
2128
+ "learning_rate": 3.6989205286707398e-06,
2129
+ "loss": 0.3883,
2130
+ "step": 1510
2131
+ },
2132
+ {
2133
+ "epoch": 0.6275890637945319,
2134
+ "grad_norm": 2.4179094736002735,
2135
+ "learning_rate": 3.664040421219393e-06,
2136
+ "loss": 0.3984,
2137
+ "step": 1515
2138
+ },
2139
+ {
2140
+ "epoch": 0.6296603148301574,
2141
+ "grad_norm": 2.3700384431761803,
2142
+ "learning_rate": 3.6292301871135425e-06,
2143
+ "loss": 0.4016,
2144
+ "step": 1520
2145
+ },
2146
+ {
2147
+ "epoch": 0.6317315658657829,
2148
+ "grad_norm": 2.330878967673718,
2149
+ "learning_rate": 3.59449164699773e-06,
2150
+ "loss": 0.3874,
2151
+ "step": 1525
2152
+ },
2153
+ {
2154
+ "epoch": 0.6338028169014085,
2155
+ "grad_norm": 2.375441813687718,
2156
+ "learning_rate": 3.55982661776676e-06,
2157
+ "loss": 0.3873,
2158
+ "step": 1530
2159
+ },
2160
+ {
2161
+ "epoch": 0.6358740679370339,
2162
+ "grad_norm": 2.432663080893473,
2163
+ "learning_rate": 3.5252369124706697e-06,
2164
+ "loss": 0.3826,
2165
+ "step": 1535
2166
+ },
2167
+ {
2168
+ "epoch": 0.6379453189726595,
2169
+ "grad_norm": 2.4211109265989346,
2170
+ "learning_rate": 3.4907243402199013e-06,
2171
+ "loss": 0.3917,
2172
+ "step": 1540
2173
+ },
2174
+ {
2175
+ "epoch": 0.640016570008285,
2176
+ "grad_norm": 2.383500236539082,
2177
+ "learning_rate": 3.4562907060906908e-06,
2178
+ "loss": 0.3871,
2179
+ "step": 1545
2180
+ },
2181
+ {
2182
+ "epoch": 0.6420878210439105,
2183
+ "grad_norm": 2.5020986029985353,
2184
+ "learning_rate": 3.4219378110306523e-06,
2185
+ "loss": 0.3843,
2186
+ "step": 1550
2187
+ },
2188
+ {
2189
+ "epoch": 0.644159072079536,
2190
+ "grad_norm": 2.411568393268961,
2191
+ "learning_rate": 3.3876674517645815e-06,
2192
+ "loss": 0.3851,
2193
+ "step": 1555
2194
+ },
2195
+ {
2196
+ "epoch": 0.6462303231151616,
2197
+ "grad_norm": 2.2871927774448113,
2198
+ "learning_rate": 3.353481420700495e-06,
2199
+ "loss": 0.3832,
2200
+ "step": 1560
2201
+ },
2202
+ {
2203
+ "epoch": 0.648301574150787,
2204
+ "grad_norm": 2.487402344766119,
2205
+ "learning_rate": 3.319381505835868e-06,
2206
+ "loss": 0.3808,
2207
+ "step": 1565
2208
+ },
2209
+ {
2210
+ "epoch": 0.6503728251864126,
2211
+ "grad_norm": 2.575422487090241,
2212
+ "learning_rate": 3.285369490664133e-06,
2213
+ "loss": 0.3937,
2214
+ "step": 1570
2215
+ },
2216
+ {
2217
+ "epoch": 0.6524440762220381,
2218
+ "grad_norm": 2.4411912546035794,
2219
+ "learning_rate": 3.251447154081394e-06,
2220
+ "loss": 0.3814,
2221
+ "step": 1575
2222
+ },
2223
+ {
2224
+ "epoch": 0.6545153272576636,
2225
+ "grad_norm": 2.278355028515059,
2226
+ "learning_rate": 3.2176162702933816e-06,
2227
+ "loss": 0.3805,
2228
+ "step": 1580
2229
+ },
2230
+ {
2231
+ "epoch": 0.6565865782932891,
2232
+ "grad_norm": 2.3844617654490508,
2233
+ "learning_rate": 3.183878608722669e-06,
2234
+ "loss": 0.381,
2235
+ "step": 1585
2236
+ },
2237
+ {
2238
+ "epoch": 0.6586578293289147,
2239
+ "grad_norm": 2.329561758304698,
2240
+ "learning_rate": 3.150235933916115e-06,
2241
+ "loss": 0.387,
2242
+ "step": 1590
2243
+ },
2244
+ {
2245
+ "epoch": 0.6607290803645401,
2246
+ "grad_norm": 2.4156074527478046,
2247
+ "learning_rate": 3.1166900054525873e-06,
2248
+ "loss": 0.3994,
2249
+ "step": 1595
2250
+ },
2251
+ {
2252
+ "epoch": 0.6628003314001657,
2253
+ "grad_norm": 2.3783657924844515,
2254
+ "learning_rate": 3.0832425778509235e-06,
2255
+ "loss": 0.3779,
2256
+ "step": 1600
2257
+ },
2258
+ {
2259
+ "epoch": 0.6648715824357913,
2260
+ "grad_norm": 2.4716803217245733,
2261
+ "learning_rate": 3.049895400478174e-06,
2262
+ "loss": 0.3732,
2263
+ "step": 1605
2264
+ },
2265
+ {
2266
+ "epoch": 0.6669428334714167,
2267
+ "grad_norm": 2.3458142528440136,
2268
+ "learning_rate": 3.0166502174581012e-06,
2269
+ "loss": 0.3752,
2270
+ "step": 1610
2271
+ },
2272
+ {
2273
+ "epoch": 0.6690140845070423,
2274
+ "grad_norm": 2.4198975838792585,
2275
+ "learning_rate": 2.983508767579956e-06,
2276
+ "loss": 0.3661,
2277
+ "step": 1615
2278
+ },
2279
+ {
2280
+ "epoch": 0.6710853355426678,
2281
+ "grad_norm": 2.372657886753349,
2282
+ "learning_rate": 2.950472784207544e-06,
2283
+ "loss": 0.3752,
2284
+ "step": 1620
2285
+ },
2286
+ {
2287
+ "epoch": 0.6731565865782932,
2288
+ "grad_norm": 2.281721990191394,
2289
+ "learning_rate": 2.917543995188562e-06,
2290
+ "loss": 0.3787,
2291
+ "step": 1625
2292
+ },
2293
+ {
2294
+ "epoch": 0.6752278376139188,
2295
+ "grad_norm": 2.491592795734995,
2296
+ "learning_rate": 2.8847241227642255e-06,
2297
+ "loss": 0.3835,
2298
+ "step": 1630
2299
+ },
2300
+ {
2301
+ "epoch": 0.6772990886495444,
2302
+ "grad_norm": 2.4831276366154054,
2303
+ "learning_rate": 2.852014883479198e-06,
2304
+ "loss": 0.3832,
2305
+ "step": 1635
2306
+ },
2307
+ {
2308
+ "epoch": 0.6793703396851698,
2309
+ "grad_norm": 2.403780522647955,
2310
+ "learning_rate": 2.819417988091814e-06,
2311
+ "loss": 0.384,
2312
+ "step": 1640
2313
+ },
2314
+ {
2315
+ "epoch": 0.6814415907207954,
2316
+ "grad_norm": 2.465619590474164,
2317
+ "learning_rate": 2.786935141484586e-06,
2318
+ "loss": 0.3749,
2319
+ "step": 1645
2320
+ },
2321
+ {
2322
+ "epoch": 0.6835128417564209,
2323
+ "grad_norm": 2.4202342922381668,
2324
+ "learning_rate": 2.754568042575061e-06,
2325
+ "loss": 0.3634,
2326
+ "step": 1650
2327
+ },
2328
+ {
2329
+ "epoch": 0.6855840927920464,
2330
+ "grad_norm": 2.4313702462550553,
2331
+ "learning_rate": 2.7223183842269442e-06,
2332
+ "loss": 0.3613,
2333
+ "step": 1655
2334
+ },
2335
+ {
2336
+ "epoch": 0.6876553438276719,
2337
+ "grad_norm": 2.3522602311047587,
2338
+ "learning_rate": 2.6901878531615677e-06,
2339
+ "loss": 0.377,
2340
+ "step": 1660
2341
+ },
2342
+ {
2343
+ "epoch": 0.6897265948632975,
2344
+ "grad_norm": 2.4828984837987518,
2345
+ "learning_rate": 2.658178129869672e-06,
2346
+ "loss": 0.3733,
2347
+ "step": 1665
2348
+ },
2349
+ {
2350
+ "epoch": 0.6917978458989229,
2351
+ "grad_norm": 2.447859748941827,
2352
+ "learning_rate": 2.6262908885235046e-06,
2353
+ "loss": 0.3756,
2354
+ "step": 1670
2355
+ },
2356
+ {
2357
+ "epoch": 0.6938690969345485,
2358
+ "grad_norm": 2.4042907104977544,
2359
+ "learning_rate": 2.594527796889265e-06,
2360
+ "loss": 0.3656,
2361
+ "step": 1675
2362
+ },
2363
+ {
2364
+ "epoch": 0.695940347970174,
2365
+ "grad_norm": 2.2665438118554233,
2366
+ "learning_rate": 2.5628905162398797e-06,
2367
+ "loss": 0.3714,
2368
+ "step": 1680
2369
+ },
2370
+ {
2371
+ "epoch": 0.6980115990057995,
2372
+ "grad_norm": 2.363177421824413,
2373
+ "learning_rate": 2.531380701268108e-06,
2374
+ "loss": 0.3638,
2375
+ "step": 1685
2376
+ },
2377
+ {
2378
+ "epoch": 0.700082850041425,
2379
+ "grad_norm": 2.203051752988435,
2380
+ "learning_rate": 2.5000000000000015e-06,
2381
+ "loss": 0.3644,
2382
+ "step": 1690
2383
+ },
2384
+ {
2385
+ "epoch": 0.7021541010770506,
2386
+ "grad_norm": 2.2614655636331973,
2387
+ "learning_rate": 2.4687500537087027e-06,
2388
+ "loss": 0.3664,
2389
+ "step": 1695
2390
+ },
2391
+ {
2392
+ "epoch": 0.704225352112676,
2393
+ "grad_norm": 2.312353684904146,
2394
+ "learning_rate": 2.4376324968286154e-06,
2395
+ "loss": 0.3749,
2396
+ "step": 1700
2397
+ },
2398
+ {
2399
+ "epoch": 0.7062966031483016,
2400
+ "grad_norm": 2.302063654985313,
2401
+ "learning_rate": 2.40664895686991e-06,
2402
+ "loss": 0.3531,
2403
+ "step": 1705
2404
+ },
2405
+ {
2406
+ "epoch": 0.7083678541839271,
2407
+ "grad_norm": 2.3982616088942987,
2408
+ "learning_rate": 2.375801054333409e-06,
2409
+ "loss": 0.3657,
2410
+ "step": 1710
2411
+ },
2412
+ {
2413
+ "epoch": 0.7104391052195526,
2414
+ "grad_norm": 2.3723480581164127,
2415
+ "learning_rate": 2.345090402625822e-06,
2416
+ "loss": 0.3621,
2417
+ "step": 1715
2418
+ },
2419
+ {
2420
+ "epoch": 0.7125103562551781,
2421
+ "grad_norm": 2.2668673481971755,
2422
+ "learning_rate": 2.3145186079753685e-06,
2423
+ "loss": 0.353,
2424
+ "step": 1720
2425
+ },
2426
+ {
2427
+ "epoch": 0.7145816072908037,
2428
+ "grad_norm": 2.331916407183293,
2429
+ "learning_rate": 2.2840872693477694e-06,
2430
+ "loss": 0.3446,
2431
+ "step": 1725
2432
+ },
2433
+ {
2434
+ "epoch": 0.7166528583264291,
2435
+ "grad_norm": 2.4260189666734897,
2436
+ "learning_rate": 2.253797978362617e-06,
2437
+ "loss": 0.3714,
2438
+ "step": 1730
2439
+ },
2440
+ {
2441
+ "epoch": 0.7187241093620547,
2442
+ "grad_norm": 2.772035063389101,
2443
+ "learning_rate": 2.2236523192101264e-06,
2444
+ "loss": 0.3756,
2445
+ "step": 1735
2446
+ },
2447
+ {
2448
+ "epoch": 0.7207953603976802,
2449
+ "grad_norm": 2.3445465173771303,
2450
+ "learning_rate": 2.193651868568285e-06,
2451
+ "loss": 0.3598,
2452
+ "step": 1740
2453
+ },
2454
+ {
2455
+ "epoch": 0.7228666114333057,
2456
+ "grad_norm": 2.4507276447056823,
2457
+ "learning_rate": 2.16379819552038e-06,
2458
+ "loss": 0.3534,
2459
+ "step": 1745
2460
+ },
2461
+ {
2462
+ "epoch": 0.7249378624689312,
2463
+ "grad_norm": 2.3286932117618897,
2464
+ "learning_rate": 2.1340928614729445e-06,
2465
+ "loss": 0.3676,
2466
+ "step": 1750
2467
+ },
2468
+ {
2469
+ "epoch": 0.7270091135045568,
2470
+ "grad_norm": 2.4278124699427432,
2471
+ "learning_rate": 2.1045374200740863e-06,
2472
+ "loss": 0.3478,
2473
+ "step": 1755
2474
+ },
2475
+ {
2476
+ "epoch": 0.7290803645401823,
2477
+ "grad_norm": 2.338964151182083,
2478
+ "learning_rate": 2.075133417132223e-06,
2479
+ "loss": 0.3497,
2480
+ "step": 1760
2481
+ },
2482
+ {
2483
+ "epoch": 0.7311516155758078,
2484
+ "grad_norm": 2.2860327377758516,
2485
+ "learning_rate": 2.045882390535248e-06,
2486
+ "loss": 0.3461,
2487
+ "step": 1765
2488
+ },
2489
+ {
2490
+ "epoch": 0.7332228666114333,
2491
+ "grad_norm": 2.440050304414306,
2492
+ "learning_rate": 2.016785870170079e-06,
2493
+ "loss": 0.3487,
2494
+ "step": 1770
2495
+ },
2496
+ {
2497
+ "epoch": 0.7352941176470589,
2498
+ "grad_norm": 2.336585306226817,
2499
+ "learning_rate": 1.987845377842656e-06,
2500
+ "loss": 0.3404,
2501
+ "step": 1775
2502
+ },
2503
+ {
2504
+ "epoch": 0.7373653686826843,
2505
+ "grad_norm": 2.4239291315507843,
2506
+ "learning_rate": 1.9590624271983406e-06,
2507
+ "loss": 0.3572,
2508
+ "step": 1780
2509
+ },
2510
+ {
2511
+ "epoch": 0.7394366197183099,
2512
+ "grad_norm": 2.2655747278638008,
2513
+ "learning_rate": 1.9304385236427505e-06,
2514
+ "loss": 0.3534,
2515
+ "step": 1785
2516
+ },
2517
+ {
2518
+ "epoch": 0.7415078707539354,
2519
+ "grad_norm": 2.411369709306088,
2520
+ "learning_rate": 1.9019751642630252e-06,
2521
+ "loss": 0.3588,
2522
+ "step": 1790
2523
+ },
2524
+ {
2525
+ "epoch": 0.7435791217895609,
2526
+ "grad_norm": 2.5661063715212515,
2527
+ "learning_rate": 1.8736738377495196e-06,
2528
+ "loss": 0.3707,
2529
+ "step": 1795
2530
+ },
2531
+ {
2532
+ "epoch": 0.7456503728251864,
2533
+ "grad_norm": 2.271714584404189,
2534
+ "learning_rate": 1.8455360243179537e-06,
2535
+ "loss": 0.3461,
2536
+ "step": 1800
2537
+ },
2538
+ {
2539
+ "epoch": 0.747721623860812,
2540
+ "grad_norm": 2.398528583226255,
2541
+ "learning_rate": 1.8175631956319823e-06,
2542
+ "loss": 0.357,
2543
+ "step": 1805
2544
+ },
2545
+ {
2546
+ "epoch": 0.7497928748964374,
2547
+ "grad_norm": 2.39827636942671,
2548
+ "learning_rate": 1.7897568147262323e-06,
2549
+ "loss": 0.3424,
2550
+ "step": 1810
2551
+ },
2552
+ {
2553
+ "epoch": 0.751864125932063,
2554
+ "grad_norm": 2.2477982364673523,
2555
+ "learning_rate": 1.7621183359297817e-06,
2556
+ "loss": 0.3443,
2557
+ "step": 1815
2558
+ },
2559
+ {
2560
+ "epoch": 0.7539353769676885,
2561
+ "grad_norm": 2.468469299919912,
2562
+ "learning_rate": 1.7346492047900897e-06,
2563
+ "loss": 0.3498,
2564
+ "step": 1820
2565
+ },
2566
+ {
2567
+ "epoch": 0.756006628003314,
2568
+ "grad_norm": 2.448144890103532,
2569
+ "learning_rate": 1.7073508579973996e-06,
2570
+ "loss": 0.3426,
2571
+ "step": 1825
2572
+ },
2573
+ {
2574
+ "epoch": 0.7580778790389395,
2575
+ "grad_norm": 2.168562497980907,
2576
+ "learning_rate": 1.6802247233095914e-06,
2577
+ "loss": 0.3449,
2578
+ "step": 1830
2579
+ },
2580
+ {
2581
+ "epoch": 0.7601491300745651,
2582
+ "grad_norm": 2.368438576336641,
2583
+ "learning_rate": 1.6532722194775108e-06,
2584
+ "loss": 0.3531,
2585
+ "step": 1835
2586
+ },
2587
+ {
2588
+ "epoch": 0.7622203811101905,
2589
+ "grad_norm": 2.3241440671031377,
2590
+ "learning_rate": 1.626494756170765e-06,
2591
+ "loss": 0.3553,
2592
+ "step": 1840
2593
+ },
2594
+ {
2595
+ "epoch": 0.7642916321458161,
2596
+ "grad_norm": 2.310085520479401,
2597
+ "learning_rate": 1.5998937339039889e-06,
2598
+ "loss": 0.3392,
2599
+ "step": 1845
2600
+ },
2601
+ {
2602
+ "epoch": 0.7663628831814416,
2603
+ "grad_norm": 2.2581792463298997,
2604
+ "learning_rate": 1.5734705439636017e-06,
2605
+ "loss": 0.3512,
2606
+ "step": 1850
2607
+ },
2608
+ {
2609
+ "epoch": 0.7684341342170671,
2610
+ "grad_norm": 2.439537688679,
2611
+ "learning_rate": 1.5472265683350397e-06,
2612
+ "loss": 0.3421,
2613
+ "step": 1855
2614
+ },
2615
+ {
2616
+ "epoch": 0.7705053852526926,
2617
+ "grad_norm": 2.5094842908311072,
2618
+ "learning_rate": 1.5211631796304721e-06,
2619
+ "loss": 0.3633,
2620
+ "step": 1860
2621
+ },
2622
+ {
2623
+ "epoch": 0.7725766362883182,
2624
+ "grad_norm": 2.265608557062427,
2625
+ "learning_rate": 1.495281741017016e-06,
2626
+ "loss": 0.333,
2627
+ "step": 1865
2628
+ },
2629
+ {
2630
+ "epoch": 0.7746478873239436,
2631
+ "grad_norm": 2.300719293992617,
2632
+ "learning_rate": 1.46958360614543e-06,
2633
+ "loss": 0.3469,
2634
+ "step": 1870
2635
+ },
2636
+ {
2637
+ "epoch": 0.7767191383595692,
2638
+ "grad_norm": 2.2656950757005574,
2639
+ "learning_rate": 1.4440701190793278e-06,
2640
+ "loss": 0.3516,
2641
+ "step": 1875
2642
+ },
2643
+ {
2644
+ "epoch": 0.7787903893951947,
2645
+ "grad_norm": 2.4327514419777065,
2646
+ "learning_rate": 1.4187426142248723e-06,
2647
+ "loss": 0.3377,
2648
+ "step": 1880
2649
+ },
2650
+ {
2651
+ "epoch": 0.7808616404308202,
2652
+ "grad_norm": 2.3520087841436053,
2653
+ "learning_rate": 1.3936024162609897e-06,
2654
+ "loss": 0.3472,
2655
+ "step": 1885
2656
+ },
2657
+ {
2658
+ "epoch": 0.7829328914664457,
2659
+ "grad_norm": 2.732996885339388,
2660
+ "learning_rate": 1.3686508400700787e-06,
2661
+ "loss": 0.351,
2662
+ "step": 1890
2663
+ },
2664
+ {
2665
+ "epoch": 0.7850041425020713,
2666
+ "grad_norm": 2.250710944434201,
2667
+ "learning_rate": 1.3438891906692447e-06,
2668
+ "loss": 0.3456,
2669
+ "step": 1895
2670
+ },
2671
+ {
2672
+ "epoch": 0.7870753935376967,
2673
+ "grad_norm": 2.2717407369401763,
2674
+ "learning_rate": 1.3193187631420462e-06,
2675
+ "loss": 0.3363,
2676
+ "step": 1900
2677
+ },
2678
+ {
2679
+ "epoch": 0.7891466445733223,
2680
+ "grad_norm": 2.581162442428822,
2681
+ "learning_rate": 1.2949408425707566e-06,
2682
+ "loss": 0.3509,
2683
+ "step": 1905
2684
+ },
2685
+ {
2686
+ "epoch": 0.7912178956089478,
2687
+ "grad_norm": 2.451318834794777,
2688
+ "learning_rate": 1.2707567039691505e-06,
2689
+ "loss": 0.3496,
2690
+ "step": 1910
2691
+ },
2692
+ {
2693
+ "epoch": 0.7932891466445733,
2694
+ "grad_norm": 2.3990332386613775,
2695
+ "learning_rate": 1.2467676122158224e-06,
2696
+ "loss": 0.3351,
2697
+ "step": 1915
2698
+ },
2699
+ {
2700
+ "epoch": 0.7953603976801988,
2701
+ "grad_norm": 2.495492531110974,
2702
+ "learning_rate": 1.222974821988024e-06,
2703
+ "loss": 0.3408,
2704
+ "step": 1920
2705
+ },
2706
+ {
2707
+ "epoch": 0.7974316487158244,
2708
+ "grad_norm": 2.3769169276951443,
2709
+ "learning_rate": 1.1993795776960498e-06,
2710
+ "loss": 0.3295,
2711
+ "step": 1925
2712
+ },
2713
+ {
2714
+ "epoch": 0.7995028997514498,
2715
+ "grad_norm": 2.4871113176142283,
2716
+ "learning_rate": 1.1759831134181504e-06,
2717
+ "loss": 0.3422,
2718
+ "step": 1930
2719
+ },
2720
+ {
2721
+ "epoch": 0.8015741507870754,
2722
+ "grad_norm": 2.3429331132949325,
2723
+ "learning_rate": 1.1527866528359805e-06,
2724
+ "loss": 0.3291,
2725
+ "step": 1935
2726
+ },
2727
+ {
2728
+ "epoch": 0.8036454018227009,
2729
+ "grad_norm": 2.450086674629505,
2730
+ "learning_rate": 1.1297914091706086e-06,
2731
+ "loss": 0.3377,
2732
+ "step": 1940
2733
+ },
2734
+ {
2735
+ "epoch": 0.8057166528583264,
2736
+ "grad_norm": 2.3124784250203807,
2737
+ "learning_rate": 1.1069985851190524e-06,
2738
+ "loss": 0.3397,
2739
+ "step": 1945
2740
+ },
2741
+ {
2742
+ "epoch": 0.8077879038939519,
2743
+ "grad_norm": 2.5121429598446836,
2744
+ "learning_rate": 1.0844093727913868e-06,
2745
+ "loss": 0.3297,
2746
+ "step": 1950
2747
+ },
2748
+ {
2749
+ "epoch": 0.8098591549295775,
2750
+ "grad_norm": 2.3886654298111156,
2751
+ "learning_rate": 1.062024953648384e-06,
2752
+ "loss": 0.3472,
2753
+ "step": 1955
2754
+ },
2755
+ {
2756
+ "epoch": 0.8119304059652029,
2757
+ "grad_norm": 2.416515049214574,
2758
+ "learning_rate": 1.039846498439727e-06,
2759
+ "loss": 0.3333,
2760
+ "step": 1960
2761
+ },
2762
+ {
2763
+ "epoch": 0.8140016570008285,
2764
+ "grad_norm": 2.292484990998401,
2765
+ "learning_rate": 1.0178751671427755e-06,
2766
+ "loss": 0.3354,
2767
+ "step": 1965
2768
+ },
2769
+ {
2770
+ "epoch": 0.816072908036454,
2771
+ "grad_norm": 2.3922313945952465,
2772
+ "learning_rate": 9.961121089018933e-07,
2773
+ "loss": 0.3257,
2774
+ "step": 1970
2775
+ },
2776
+ {
2777
+ "epoch": 0.8181441590720795,
2778
+ "grad_norm": 2.3117852804307124,
2779
+ "learning_rate": 9.745584619683524e-07,
2780
+ "loss": 0.3262,
2781
+ "step": 1975
2782
+ },
2783
+ {
2784
+ "epoch": 0.820215410107705,
2785
+ "grad_norm": 2.3782012557831567,
2786
+ "learning_rate": 9.532153536407923e-07,
2787
+ "loss": 0.3381,
2788
+ "step": 1980
2789
+ },
2790
+ {
2791
+ "epoch": 0.8222866611433306,
2792
+ "grad_norm": 2.316778024028577,
2793
+ "learning_rate": 9.320839002062682e-07,
2794
+ "loss": 0.329,
2795
+ "step": 1985
2796
+ },
2797
+ {
2798
+ "epoch": 0.824357912178956,
2799
+ "grad_norm": 2.4579677816004715,
2800
+ "learning_rate": 9.111652068818621e-07,
2801
+ "loss": 0.3365,
2802
+ "step": 1990
2803
+ },
2804
+ {
2805
+ "epoch": 0.8264291632145816,
2806
+ "grad_norm": 2.2909173606716555,
2807
+ "learning_rate": 8.904603677568785e-07,
2808
+ "loss": 0.327,
2809
+ "step": 1995
2810
+ },
2811
+ {
2812
+ "epoch": 0.8285004142502072,
2813
+ "grad_norm": 2.378065910884157,
2814
+ "learning_rate": 8.699704657356195e-07,
2815
+ "loss": 0.3272,
2816
+ "step": 2000
2817
+ },
2818
+ {
2819
+ "epoch": 0.8305716652858326,
2820
+ "grad_norm": 2.3648030957840187,
2821
+ "learning_rate": 8.496965724807516e-07,
2822
+ "loss": 0.3339,
2823
+ "step": 2005
2824
+ },
2825
+ {
2826
+ "epoch": 0.8326429163214581,
2827
+ "grad_norm": 2.136214101086001,
2828
+ "learning_rate": 8.296397483572515e-07,
2829
+ "loss": 0.3196,
2830
+ "step": 2010
2831
+ },
2832
+ {
2833
+ "epoch": 0.8347141673570837,
2834
+ "grad_norm": 2.4656930931044965,
2835
+ "learning_rate": 8.098010423769503e-07,
2836
+ "loss": 0.35,
2837
+ "step": 2015
2838
+ },
2839
+ {
2840
+ "epoch": 0.8367854183927091,
2841
+ "grad_norm": 2.3398867724259977,
2842
+ "learning_rate": 7.901814921436624e-07,
2843
+ "loss": 0.3326,
2844
+ "step": 2020
2845
+ },
2846
+ {
2847
+ "epoch": 0.8388566694283347,
2848
+ "grad_norm": 2.351803701234294,
2849
+ "learning_rate": 7.70782123798921e-07,
2850
+ "loss": 0.3273,
2851
+ "step": 2025
2852
+ },
2853
+ {
2854
+ "epoch": 0.8409279204639603,
2855
+ "grad_norm": 2.2776835231240184,
2856
+ "learning_rate": 7.516039519683105e-07,
2857
+ "loss": 0.3238,
2858
+ "step": 2030
2859
+ },
2860
+ {
2861
+ "epoch": 0.8429991714995857,
2862
+ "grad_norm": 2.3606143376947135,
2863
+ "learning_rate": 7.326479797083963e-07,
2864
+ "loss": 0.3297,
2865
+ "step": 2035
2866
+ },
2867
+ {
2868
+ "epoch": 0.8450704225352113,
2869
+ "grad_norm": 2.3999583975189056,
2870
+ "learning_rate": 7.139151984542636e-07,
2871
+ "loss": 0.3155,
2872
+ "step": 2040
2873
+ },
2874
+ {
2875
+ "epoch": 0.8471416735708368,
2876
+ "grad_norm": 2.324664898231089,
2877
+ "learning_rate": 6.954065879676653e-07,
2878
+ "loss": 0.327,
2879
+ "step": 2045
2880
+ },
2881
+ {
2882
+ "epoch": 0.8492129246064622,
2883
+ "grad_norm": 2.2630117680123103,
2884
+ "learning_rate": 6.771231162857722e-07,
2885
+ "loss": 0.3258,
2886
+ "step": 2050
2887
+ },
2888
+ {
2889
+ "epoch": 0.8512841756420878,
2890
+ "grad_norm": 2.351884420298746,
2891
+ "learning_rate": 6.590657396705525e-07,
2892
+ "loss": 0.3256,
2893
+ "step": 2055
2894
+ },
2895
+ {
2896
+ "epoch": 0.8533554266777134,
2897
+ "grad_norm": 2.4325965447816813,
2898
+ "learning_rate": 6.412354025587509e-07,
2899
+ "loss": 0.3337,
2900
+ "step": 2060
2901
+ },
2902
+ {
2903
+ "epoch": 0.8554266777133389,
2904
+ "grad_norm": 2.3977440470960145,
2905
+ "learning_rate": 6.236330375124921e-07,
2906
+ "loss": 0.3358,
2907
+ "step": 2065
2908
+ },
2909
+ {
2910
+ "epoch": 0.8574979287489644,
2911
+ "grad_norm": 2.3326291708257902,
2912
+ "learning_rate": 6.062595651705111e-07,
2913
+ "loss": 0.3308,
2914
+ "step": 2070
2915
+ },
2916
+ {
2917
+ "epoch": 0.8595691797845899,
2918
+ "grad_norm": 2.335144843157432,
2919
+ "learning_rate": 5.891158941999959e-07,
2920
+ "loss": 0.3301,
2921
+ "step": 2075
2922
+ },
2923
+ {
2924
+ "epoch": 0.8616404308202155,
2925
+ "grad_norm": 2.2635540786964685,
2926
+ "learning_rate": 5.722029212490666e-07,
2927
+ "loss": 0.3185,
2928
+ "step": 2080
2929
+ },
2930
+ {
2931
+ "epoch": 0.8637116818558409,
2932
+ "grad_norm": 2.4276016208630473,
2933
+ "learning_rate": 5.555215308998779e-07,
2934
+ "loss": 0.327,
2935
+ "step": 2085
2936
+ },
2937
+ {
2938
+ "epoch": 0.8657829328914665,
2939
+ "grad_norm": 2.4699900638628742,
2940
+ "learning_rate": 5.390725956223531e-07,
2941
+ "loss": 0.3287,
2942
+ "step": 2090
2943
+ },
2944
+ {
2945
+ "epoch": 0.867854183927092,
2946
+ "grad_norm": 2.2549133406841695,
2947
+ "learning_rate": 5.22856975728554e-07,
2948
+ "loss": 0.3157,
2949
+ "step": 2095
2950
+ },
2951
+ {
2952
+ "epoch": 0.8699254349627175,
2953
+ "grad_norm": 2.245156912707329,
2954
+ "learning_rate": 5.068755193276798e-07,
2955
+ "loss": 0.326,
2956
+ "step": 2100
2957
+ },
2958
+ {
2959
+ "epoch": 0.871996685998343,
2960
+ "grad_norm": 2.356212546488791,
2961
+ "learning_rate": 4.911290622817161e-07,
2962
+ "loss": 0.317,
2963
+ "step": 2105
2964
+ },
2965
+ {
2966
+ "epoch": 0.8740679370339686,
2967
+ "grad_norm": 2.2771498825878513,
2968
+ "learning_rate": 4.756184281617121e-07,
2969
+ "loss": 0.3255,
2970
+ "step": 2110
2971
+ },
2972
+ {
2973
+ "epoch": 0.876139188069594,
2974
+ "grad_norm": 2.375932171841295,
2975
+ "learning_rate": 4.6034442820471037e-07,
2976
+ "loss": 0.3198,
2977
+ "step": 2115
2978
+ },
2979
+ {
2980
+ "epoch": 0.8782104391052196,
2981
+ "grad_norm": 2.5597319859630034,
2982
+ "learning_rate": 4.4530786127131575e-07,
2983
+ "loss": 0.3224,
2984
+ "step": 2120
2985
+ },
2986
+ {
2987
+ "epoch": 0.8802816901408451,
2988
+ "grad_norm": 2.481498730243582,
2989
+ "learning_rate": 4.305095138039106e-07,
2990
+ "loss": 0.3319,
2991
+ "step": 2125
2992
+ },
2993
+ {
2994
+ "epoch": 0.8823529411764706,
2995
+ "grad_norm": 2.3294677529663983,
2996
+ "learning_rate": 4.159501597855287e-07,
2997
+ "loss": 0.3219,
2998
+ "step": 2130
2999
+ },
3000
+ {
3001
+ "epoch": 0.8844241922120961,
3002
+ "grad_norm": 2.281056688111297,
3003
+ "learning_rate": 4.0163056069936757e-07,
3004
+ "loss": 0.3133,
3005
+ "step": 2135
3006
+ },
3007
+ {
3008
+ "epoch": 0.8864954432477217,
3009
+ "grad_norm": 2.3568722518604073,
3010
+ "learning_rate": 3.8755146548896784e-07,
3011
+ "loss": 0.3318,
3012
+ "step": 2140
3013
+ },
3014
+ {
3015
+ "epoch": 0.8885666942833471,
3016
+ "grad_norm": 2.2630442301266873,
3017
+ "learning_rate": 3.737136105190337e-07,
3018
+ "loss": 0.325,
3019
+ "step": 2145
3020
+ },
3021
+ {
3022
+ "epoch": 0.8906379453189727,
3023
+ "grad_norm": 2.369821699455466,
3024
+ "learning_rate": 3.6011771953693044e-07,
3025
+ "loss": 0.3359,
3026
+ "step": 2150
3027
+ },
3028
+ {
3029
+ "epoch": 0.8927091963545982,
3030
+ "grad_norm": 2.547108380324384,
3031
+ "learning_rate": 3.4676450363481937e-07,
3032
+ "loss": 0.3162,
3033
+ "step": 2155
3034
+ },
3035
+ {
3036
+ "epoch": 0.8947804473902237,
3037
+ "grad_norm": 2.548525193875049,
3038
+ "learning_rate": 3.336546612124758e-07,
3039
+ "loss": 0.3241,
3040
+ "step": 2160
3041
+ },
3042
+ {
3043
+ "epoch": 0.8968516984258492,
3044
+ "grad_norm": 2.3650184441515374,
3045
+ "learning_rate": 3.20788877940757e-07,
3046
+ "loss": 0.3201,
3047
+ "step": 2165
3048
+ },
3049
+ {
3050
+ "epoch": 0.8989229494614748,
3051
+ "grad_norm": 2.4354180705208734,
3052
+ "learning_rate": 3.081678267257404e-07,
3053
+ "loss": 0.3232,
3054
+ "step": 2170
3055
+ },
3056
+ {
3057
+ "epoch": 0.9009942004971002,
3058
+ "grad_norm": 2.437804136816326,
3059
+ "learning_rate": 2.9579216767352815e-07,
3060
+ "loss": 0.3278,
3061
+ "step": 2175
3062
+ },
3063
+ {
3064
+ "epoch": 0.9030654515327258,
3065
+ "grad_norm": 2.32676030586252,
3066
+ "learning_rate": 2.836625480557265e-07,
3067
+ "loss": 0.3229,
3068
+ "step": 2180
3069
+ },
3070
+ {
3071
+ "epoch": 0.9051367025683513,
3072
+ "grad_norm": 2.420221090023951,
3073
+ "learning_rate": 2.7177960227558863e-07,
3074
+ "loss": 0.3286,
3075
+ "step": 2185
3076
+ },
3077
+ {
3078
+ "epoch": 0.9072079536039768,
3079
+ "grad_norm": 2.361797437348497,
3080
+ "learning_rate": 2.601439518348331e-07,
3081
+ "loss": 0.3281,
3082
+ "step": 2190
3083
+ },
3084
+ {
3085
+ "epoch": 0.9092792046396023,
3086
+ "grad_norm": 2.3489153533889593,
3087
+ "learning_rate": 2.487562053011422e-07,
3088
+ "loss": 0.3214,
3089
+ "step": 2195
3090
+ },
3091
+ {
3092
+ "epoch": 0.9113504556752279,
3093
+ "grad_norm": 2.56111688526178,
3094
+ "learning_rate": 2.376169582763288e-07,
3095
+ "loss": 0.3147,
3096
+ "step": 2200
3097
+ },
3098
+ {
3099
+ "epoch": 0.9134217067108533,
3100
+ "grad_norm": 2.57814653530945,
3101
+ "learning_rate": 2.2672679336518789e-07,
3102
+ "loss": 0.3171,
3103
+ "step": 2205
3104
+ },
3105
+ {
3106
+ "epoch": 0.9154929577464789,
3107
+ "grad_norm": 2.3494738988744723,
3108
+ "learning_rate": 2.1608628014502364e-07,
3109
+ "loss": 0.3205,
3110
+ "step": 2210
3111
+ },
3112
+ {
3113
+ "epoch": 0.9175642087821044,
3114
+ "grad_norm": 2.3096668943633927,
3115
+ "learning_rate": 2.0569597513586004e-07,
3116
+ "loss": 0.3119,
3117
+ "step": 2215
3118
+ },
3119
+ {
3120
+ "epoch": 0.9196354598177299,
3121
+ "grad_norm": 2.3426579322038714,
3122
+ "learning_rate": 1.955564217713335e-07,
3123
+ "loss": 0.3155,
3124
+ "step": 2220
3125
+ },
3126
+ {
3127
+ "epoch": 0.9217067108533554,
3128
+ "grad_norm": 2.2566958158189987,
3129
+ "learning_rate": 1.8566815037026897e-07,
3130
+ "loss": 0.3207,
3131
+ "step": 2225
3132
+ },
3133
+ {
3134
+ "epoch": 0.923777961888981,
3135
+ "grad_norm": 2.359224561499725,
3136
+ "learning_rate": 1.7603167810894662e-07,
3137
+ "loss": 0.3182,
3138
+ "step": 2230
3139
+ },
3140
+ {
3141
+ "epoch": 0.9258492129246064,
3142
+ "grad_norm": 2.226966607924682,
3143
+ "learning_rate": 1.6664750899404892e-07,
3144
+ "loss": 0.3129,
3145
+ "step": 2235
3146
+ },
3147
+ {
3148
+ "epoch": 0.927920463960232,
3149
+ "grad_norm": 2.3591702073510485,
3150
+ "learning_rate": 1.5751613383630128e-07,
3151
+ "loss": 0.3187,
3152
+ "step": 2240
3153
+ },
3154
+ {
3155
+ "epoch": 0.9299917149958575,
3156
+ "grad_norm": 2.3992320019355753,
3157
+ "learning_rate": 1.4863803022480362e-07,
3158
+ "loss": 0.3305,
3159
+ "step": 2245
3160
+ },
3161
+ {
3162
+ "epoch": 0.932062966031483,
3163
+ "grad_norm": 2.445578832040922,
3164
+ "learning_rate": 1.4001366250204762e-07,
3165
+ "loss": 0.3154,
3166
+ "step": 2250
3167
+ },
3168
+ {
3169
+ "epoch": 0.9341342170671085,
3170
+ "grad_norm": 2.4939555171455114,
3171
+ "learning_rate": 1.3164348173963392e-07,
3172
+ "loss": 0.3231,
3173
+ "step": 2255
3174
+ },
3175
+ {
3176
+ "epoch": 0.9362054681027341,
3177
+ "grad_norm": 2.1840069471253005,
3178
+ "learning_rate": 1.235279257146804e-07,
3179
+ "loss": 0.3113,
3180
+ "step": 2260
3181
+ },
3182
+ {
3183
+ "epoch": 0.9382767191383595,
3184
+ "grad_norm": 2.3098200854659523,
3185
+ "learning_rate": 1.1566741888692168e-07,
3186
+ "loss": 0.3041,
3187
+ "step": 2265
3188
+ },
3189
+ {
3190
+ "epoch": 0.9403479701739851,
3191
+ "grad_norm": 2.539664992169192,
3192
+ "learning_rate": 1.080623723765134e-07,
3193
+ "loss": 0.3093,
3194
+ "step": 2270
3195
+ },
3196
+ {
3197
+ "epoch": 0.9424192212096106,
3198
+ "grad_norm": 2.4935115385278124,
3199
+ "learning_rate": 1.0071318394252849e-07,
3200
+ "loss": 0.3181,
3201
+ "step": 2275
3202
+ },
3203
+ {
3204
+ "epoch": 0.9444904722452361,
3205
+ "grad_norm": 2.3940149584011237,
3206
+ "learning_rate": 9.362023796215036e-08,
3207
+ "loss": 0.3228,
3208
+ "step": 2280
3209
+ },
3210
+ {
3211
+ "epoch": 0.9465617232808616,
3212
+ "grad_norm": 2.487298613154887,
3213
+ "learning_rate": 8.678390541057512e-08,
3214
+ "loss": 0.3326,
3215
+ "step": 2285
3216
+ },
3217
+ {
3218
+ "epoch": 0.9486329743164872,
3219
+ "grad_norm": 2.3469443684683293,
3220
+ "learning_rate": 8.020454384160437e-08,
3221
+ "loss": 0.3143,
3222
+ "step": 2290
3223
+ },
3224
+ {
3225
+ "epoch": 0.9507042253521126,
3226
+ "grad_norm": 2.2606661120914264,
3227
+ "learning_rate": 7.388249736894615e-08,
3228
+ "loss": 0.3115,
3229
+ "step": 2295
3230
+ },
3231
+ {
3232
+ "epoch": 0.9527754763877382,
3233
+ "grad_norm": 2.174724810527737,
3234
+ "learning_rate": 6.78180966482156e-08,
3235
+ "loss": 0.3115,
3236
+ "step": 2300
3237
+ },
3238
+ {
3239
+ "epoch": 0.9548467274233637,
3240
+ "grad_norm": 2.430189671520879,
3241
+ "learning_rate": 6.201165885964311e-08,
3242
+ "loss": 0.3162,
3243
+ "step": 2305
3244
+ },
3245
+ {
3246
+ "epoch": 0.9569179784589892,
3247
+ "grad_norm": 2.431002564643125,
3248
+ "learning_rate": 5.646348769148491e-08,
3249
+ "loss": 0.3315,
3250
+ "step": 2310
3251
+ },
3252
+ {
3253
+ "epoch": 0.9589892294946147,
3254
+ "grad_norm": 2.4561298588521736,
3255
+ "learning_rate": 5.117387332413737e-08,
3256
+ "loss": 0.3214,
3257
+ "step": 2315
3258
+ },
3259
+ {
3260
+ "epoch": 0.9610604805302403,
3261
+ "grad_norm": 2.29137591324708,
3262
+ "learning_rate": 4.6143092414961396e-08,
3263
+ "loss": 0.3171,
3264
+ "step": 2320
3265
+ },
3266
+ {
3267
+ "epoch": 0.9631317315658657,
3268
+ "grad_norm": 2.2798572393263625,
3269
+ "learning_rate": 4.1371408083815126e-08,
3270
+ "loss": 0.3179,
3271
+ "step": 2325
3272
+ },
3273
+ {
3274
+ "epoch": 0.9652029826014913,
3275
+ "grad_norm": 2.5201896418594862,
3276
+ "learning_rate": 3.685906989928656e-08,
3277
+ "loss": 0.3243,
3278
+ "step": 2330
3279
+ },
3280
+ {
3281
+ "epoch": 0.9672742336371168,
3282
+ "grad_norm": 2.3567114541229355,
3283
+ "learning_rate": 3.2606313865646276e-08,
3284
+ "loss": 0.3233,
3285
+ "step": 2335
3286
+ },
3287
+ {
3288
+ "epoch": 0.9693454846727423,
3289
+ "grad_norm": 2.4845883074404824,
3290
+ "learning_rate": 2.861336241050061e-08,
3291
+ "loss": 0.3171,
3292
+ "step": 2340
3293
+ },
3294
+ {
3295
+ "epoch": 0.9714167357083678,
3296
+ "grad_norm": 2.383209324193614,
3297
+ "learning_rate": 2.488042437315985e-08,
3298
+ "loss": 0.3141,
3299
+ "step": 2345
3300
+ },
3301
+ {
3302
+ "epoch": 0.9734879867439934,
3303
+ "grad_norm": 2.5226130703660035,
3304
+ "learning_rate": 2.1407694993714755e-08,
3305
+ "loss": 0.3259,
3306
+ "step": 2350
3307
+ },
3308
+ {
3309
+ "epoch": 0.9755592377796188,
3310
+ "grad_norm": 2.370723863389497,
3311
+ "learning_rate": 1.8195355902824174e-08,
3312
+ "loss": 0.3124,
3313
+ "step": 2355
3314
+ },
3315
+ {
3316
+ "epoch": 0.9776304888152444,
3317
+ "grad_norm": 2.4294371458952604,
3318
+ "learning_rate": 1.5243575112218744e-08,
3319
+ "loss": 0.3216,
3320
+ "step": 2360
3321
+ },
3322
+ {
3323
+ "epoch": 0.97970173985087,
3324
+ "grad_norm": 2.3857766427686946,
3325
+ "learning_rate": 1.2552507005909042e-08,
3326
+ "loss": 0.313,
3327
+ "step": 2365
3328
+ },
3329
+ {
3330
+ "epoch": 0.9817729908864954,
3331
+ "grad_norm": 2.451896147327658,
3332
+ "learning_rate": 1.0122292332114814e-08,
3333
+ "loss": 0.3222,
3334
+ "step": 2370
3335
+ },
3336
+ {
3337
+ "epoch": 0.9838442419221209,
3338
+ "grad_norm": 2.538668369610046,
3339
+ "learning_rate": 7.953058195900864e-09,
3340
+ "loss": 0.3244,
3341
+ "step": 2375
3342
+ },
3343
+ {
3344
+ "epoch": 0.9859154929577465,
3345
+ "grad_norm": 2.407872701486615,
3346
+ "learning_rate": 6.044918052531268e-09,
3347
+ "loss": 0.3145,
3348
+ "step": 2380
3349
+ },
3350
+ {
3351
+ "epoch": 0.987986743993372,
3352
+ "grad_norm": 2.2756913351567443,
3353
+ "learning_rate": 4.397971701533554e-09,
3354
+ "loss": 0.3225,
3355
+ "step": 2385
3356
+ },
3357
+ {
3358
+ "epoch": 0.9900579950289975,
3359
+ "grad_norm": 2.3323337356994656,
3360
+ "learning_rate": 3.0123052814812203e-09,
3361
+ "loss": 0.3193,
3362
+ "step": 2390
3363
+ },
3364
+ {
3365
+ "epoch": 0.992129246064623,
3366
+ "grad_norm": 2.360225047221282,
3367
+ "learning_rate": 1.887991265486222e-09,
3368
+ "loss": 0.3173,
3369
+ "step": 2395
3370
+ },
3371
+ {
3372
+ "epoch": 0.9942004971002486,
3373
+ "grad_norm": 2.4651589444064737,
3374
+ "learning_rate": 1.025088457409229e-09,
3375
+ "loss": 0.3196,
3376
+ "step": 2400
3377
+ },
3378
+ {
3379
+ "epoch": 0.996271748135874,
3380
+ "grad_norm": 2.2576161492102496,
3381
+ "learning_rate": 4.2364198878597216e-10,
3382
+ "loss": 0.316,
3383
+ "step": 2405
3384
+ },
3385
+ {
3386
+ "epoch": 0.9983429991714996,
3387
+ "grad_norm": 2.4279743469778388,
3388
+ "learning_rate": 8.368331646302353e-11,
3389
+ "loss": 0.3179,
3390
+ "step": 2410
3391
+ },
3392
+ {
3393
+ "epoch": 1.0,
3394
+ "eval_runtime": 3.3314,
3395
+ "eval_samples_per_second": 3.002,
3396
+ "eval_steps_per_second": 0.901,
3397
+ "step": 2414
3398
+ },
3399
+ {
3400
+ "epoch": 1.0,
3401
+ "step": 2414,
3402
+ "total_flos": 252721244405760.0,
3403
+ "train_loss": 0.5125990820108807,
3404
+ "train_runtime": 21458.7367,
3405
+ "train_samples_per_second": 1.8,
3406
+ "train_steps_per_second": 0.112
3407
+ }
3408
+ ],
3409
+ "logging_steps": 5,
3410
+ "max_steps": 2414,
3411
+ "num_input_tokens_seen": 0,
3412
+ "num_train_epochs": 1,
3413
+ "save_steps": 100,
3414
+ "stateful_callbacks": {
3415
+ "TrainerControl": {
3416
+ "args": {
3417
+ "should_epoch_stop": false,
3418
+ "should_evaluate": false,
3419
+ "should_log": false,
3420
+ "should_save": true,
3421
+ "should_training_stop": true
3422
+ },
3423
+ "attributes": {}
3424
+ }
3425
+ },
3426
+ "total_flos": 252721244405760.0,
3427
+ "train_batch_size": 4,
3428
+ "trial_name": null,
3429
+ "trial_params": null
3430
+ }