terry69 commited on
Commit
5c6cebc
·
verified ·
1 Parent(s): 3505f91

Model save

Browse files
README.md ADDED
@@ -0,0 +1,60 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ library_name: transformers
3
+ license: other
4
+ base_model: Qwen/Qwen1.5-0.5B-Chat
5
+ tags:
6
+ - trl
7
+ - sft
8
+ - generated_from_trainer
9
+ model-index:
10
+ - name: qwen_0.5_feedback_dirty
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
+ # qwen_0.5_feedback_dirty
18
+
19
+ This model is a fine-tuned version of [Qwen/Qwen1.5-0.5B-Chat](https://huggingface.co/Qwen/Qwen1.5-0.5B-Chat) 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": 104409178570752.0,
4
+ "train_loss": 1.2488443794731108,
5
+ "train_runtime": 1971.1476,
6
+ "train_samples": 98881,
7
+ "train_samples_per_second": 17.39,
8
+ "train_steps_per_second": 1.087
9
+ }
generation_config.json ADDED
@@ -0,0 +1,12 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "bos_token_id": 151643,
3
+ "do_sample": true,
4
+ "eos_token_id": [
5
+ 151645,
6
+ 151643
7
+ ],
8
+ "pad_token_id": 151643,
9
+ "repetition_penalty": 1.1,
10
+ "top_p": 0.8,
11
+ "transformers_version": "4.45.1"
12
+ }
runs/Sep30_16-23-59_COE-CS-sv003/events.out.tfevents.1727713941.COE-CS-sv003.1328701.0 CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:929701dbee96b64097245ff251c449762f51810e641eb0e38e7ed6275bdcf01e
3
- size 96404
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:f87585865dc18afd83ac616bcfde79af4576e0a248839d4582f8a45b963853c5
3
+ size 96758
train_results.json ADDED
@@ -0,0 +1,9 @@
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "epoch": 1.0,
3
+ "total_flos": 104409178570752.0,
4
+ "train_loss": 1.2488443794731108,
5
+ "train_runtime": 1971.1476,
6
+ "train_samples": 98881,
7
+ "train_samples_per_second": 17.39,
8
+ "train_steps_per_second": 1.087
9
+ }
trainer_state.json ADDED
@@ -0,0 +1,3052 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_metric": null,
3
+ "best_model_checkpoint": null,
4
+ "epoch": 1.0,
5
+ "eval_steps": 500,
6
+ "global_step": 2143,
7
+ "is_hyper_param_search": false,
8
+ "is_local_process_zero": true,
9
+ "is_world_process_zero": true,
10
+ "log_history": [
11
+ {
12
+ "epoch": 0.0004666355576294914,
13
+ "grad_norm": 9.80569798486889,
14
+ "learning_rate": 4.6511627906976744e-08,
15
+ "loss": 2.0528,
16
+ "step": 1
17
+ },
18
+ {
19
+ "epoch": 0.0023331777881474567,
20
+ "grad_norm": 11.170695783429226,
21
+ "learning_rate": 2.3255813953488374e-07,
22
+ "loss": 2.1257,
23
+ "step": 5
24
+ },
25
+ {
26
+ "epoch": 0.004666355576294913,
27
+ "grad_norm": 10.299964663909256,
28
+ "learning_rate": 4.651162790697675e-07,
29
+ "loss": 2.1053,
30
+ "step": 10
31
+ },
32
+ {
33
+ "epoch": 0.006999533364442371,
34
+ "grad_norm": 8.193532512360106,
35
+ "learning_rate": 6.976744186046513e-07,
36
+ "loss": 2.0846,
37
+ "step": 15
38
+ },
39
+ {
40
+ "epoch": 0.009332711152589827,
41
+ "grad_norm": 7.913282318442771,
42
+ "learning_rate": 9.30232558139535e-07,
43
+ "loss": 2.0703,
44
+ "step": 20
45
+ },
46
+ {
47
+ "epoch": 0.011665888940737284,
48
+ "grad_norm": 5.1976478753102695,
49
+ "learning_rate": 1.1627906976744188e-06,
50
+ "loss": 2.0447,
51
+ "step": 25
52
+ },
53
+ {
54
+ "epoch": 0.013999066728884742,
55
+ "grad_norm": 3.327102797078764,
56
+ "learning_rate": 1.3953488372093025e-06,
57
+ "loss": 2.009,
58
+ "step": 30
59
+ },
60
+ {
61
+ "epoch": 0.016332244517032198,
62
+ "grad_norm": 2.8990750203341213,
63
+ "learning_rate": 1.6279069767441862e-06,
64
+ "loss": 1.96,
65
+ "step": 35
66
+ },
67
+ {
68
+ "epoch": 0.018665422305179653,
69
+ "grad_norm": 2.7398670194452257,
70
+ "learning_rate": 1.86046511627907e-06,
71
+ "loss": 1.9107,
72
+ "step": 40
73
+ },
74
+ {
75
+ "epoch": 0.020998600093327113,
76
+ "grad_norm": 2.5093466657100376,
77
+ "learning_rate": 2.0930232558139536e-06,
78
+ "loss": 1.8824,
79
+ "step": 45
80
+ },
81
+ {
82
+ "epoch": 0.02333177788147457,
83
+ "grad_norm": 2.539393259914437,
84
+ "learning_rate": 2.3255813953488376e-06,
85
+ "loss": 1.8068,
86
+ "step": 50
87
+ },
88
+ {
89
+ "epoch": 0.025664955669622024,
90
+ "grad_norm": 2.385030943190482,
91
+ "learning_rate": 2.558139534883721e-06,
92
+ "loss": 1.8136,
93
+ "step": 55
94
+ },
95
+ {
96
+ "epoch": 0.027998133457769483,
97
+ "grad_norm": 1.503294665821055,
98
+ "learning_rate": 2.790697674418605e-06,
99
+ "loss": 1.6936,
100
+ "step": 60
101
+ },
102
+ {
103
+ "epoch": 0.03033131124591694,
104
+ "grad_norm": 1.2909407802544917,
105
+ "learning_rate": 3.0232558139534885e-06,
106
+ "loss": 1.6416,
107
+ "step": 65
108
+ },
109
+ {
110
+ "epoch": 0.032664489034064395,
111
+ "grad_norm": 1.6338317963717872,
112
+ "learning_rate": 3.2558139534883724e-06,
113
+ "loss": 1.5935,
114
+ "step": 70
115
+ },
116
+ {
117
+ "epoch": 0.03499766682221185,
118
+ "grad_norm": 1.0741783431016825,
119
+ "learning_rate": 3.4883720930232564e-06,
120
+ "loss": 1.5743,
121
+ "step": 75
122
+ },
123
+ {
124
+ "epoch": 0.03733084461035931,
125
+ "grad_norm": 2.0009334094497935,
126
+ "learning_rate": 3.72093023255814e-06,
127
+ "loss": 1.5656,
128
+ "step": 80
129
+ },
130
+ {
131
+ "epoch": 0.03966402239850677,
132
+ "grad_norm": 1.0372560314506016,
133
+ "learning_rate": 3.953488372093024e-06,
134
+ "loss": 1.5313,
135
+ "step": 85
136
+ },
137
+ {
138
+ "epoch": 0.041997200186654225,
139
+ "grad_norm": 1.0104596338751055,
140
+ "learning_rate": 4.186046511627907e-06,
141
+ "loss": 1.5563,
142
+ "step": 90
143
+ },
144
+ {
145
+ "epoch": 0.04433037797480168,
146
+ "grad_norm": 1.0490066470026633,
147
+ "learning_rate": 4.418604651162791e-06,
148
+ "loss": 1.5156,
149
+ "step": 95
150
+ },
151
+ {
152
+ "epoch": 0.04666355576294914,
153
+ "grad_norm": 1.0535385716867722,
154
+ "learning_rate": 4.651162790697675e-06,
155
+ "loss": 1.5011,
156
+ "step": 100
157
+ },
158
+ {
159
+ "epoch": 0.04899673355109659,
160
+ "grad_norm": 1.0136671807295665,
161
+ "learning_rate": 4.883720930232559e-06,
162
+ "loss": 1.4834,
163
+ "step": 105
164
+ },
165
+ {
166
+ "epoch": 0.05132991133924405,
167
+ "grad_norm": 1.026154126791642,
168
+ "learning_rate": 5.116279069767442e-06,
169
+ "loss": 1.4987,
170
+ "step": 110
171
+ },
172
+ {
173
+ "epoch": 0.053663089127391504,
174
+ "grad_norm": 1.0396688598036314,
175
+ "learning_rate": 5.348837209302326e-06,
176
+ "loss": 1.4789,
177
+ "step": 115
178
+ },
179
+ {
180
+ "epoch": 0.05599626691553897,
181
+ "grad_norm": 1.0528265921299778,
182
+ "learning_rate": 5.58139534883721e-06,
183
+ "loss": 1.4869,
184
+ "step": 120
185
+ },
186
+ {
187
+ "epoch": 0.05832944470368642,
188
+ "grad_norm": 0.980376108268983,
189
+ "learning_rate": 5.8139534883720935e-06,
190
+ "loss": 1.4484,
191
+ "step": 125
192
+ },
193
+ {
194
+ "epoch": 0.06066262249183388,
195
+ "grad_norm": 0.9975356266204255,
196
+ "learning_rate": 6.046511627906977e-06,
197
+ "loss": 1.4639,
198
+ "step": 130
199
+ },
200
+ {
201
+ "epoch": 0.06299580027998133,
202
+ "grad_norm": 1.0111634170832666,
203
+ "learning_rate": 6.279069767441861e-06,
204
+ "loss": 1.4583,
205
+ "step": 135
206
+ },
207
+ {
208
+ "epoch": 0.06532897806812879,
209
+ "grad_norm": 0.9697052033186522,
210
+ "learning_rate": 6.511627906976745e-06,
211
+ "loss": 1.452,
212
+ "step": 140
213
+ },
214
+ {
215
+ "epoch": 0.06766215585627625,
216
+ "grad_norm": 1.0019712799076745,
217
+ "learning_rate": 6.744186046511628e-06,
218
+ "loss": 1.4542,
219
+ "step": 145
220
+ },
221
+ {
222
+ "epoch": 0.0699953336444237,
223
+ "grad_norm": 0.9918157971629793,
224
+ "learning_rate": 6.976744186046513e-06,
225
+ "loss": 1.4245,
226
+ "step": 150
227
+ },
228
+ {
229
+ "epoch": 0.07232851143257116,
230
+ "grad_norm": 1.0749224168951386,
231
+ "learning_rate": 7.209302325581395e-06,
232
+ "loss": 1.4412,
233
+ "step": 155
234
+ },
235
+ {
236
+ "epoch": 0.07466168922071861,
237
+ "grad_norm": 1.0472967676718108,
238
+ "learning_rate": 7.44186046511628e-06,
239
+ "loss": 1.4383,
240
+ "step": 160
241
+ },
242
+ {
243
+ "epoch": 0.07699486700886607,
244
+ "grad_norm": 1.0500296683118158,
245
+ "learning_rate": 7.674418604651164e-06,
246
+ "loss": 1.4269,
247
+ "step": 165
248
+ },
249
+ {
250
+ "epoch": 0.07932804479701354,
251
+ "grad_norm": 1.031289784533538,
252
+ "learning_rate": 7.906976744186048e-06,
253
+ "loss": 1.4405,
254
+ "step": 170
255
+ },
256
+ {
257
+ "epoch": 0.081661222585161,
258
+ "grad_norm": 7.038247729625548,
259
+ "learning_rate": 8.139534883720931e-06,
260
+ "loss": 1.4111,
261
+ "step": 175
262
+ },
263
+ {
264
+ "epoch": 0.08399440037330845,
265
+ "grad_norm": 1.078414766377112,
266
+ "learning_rate": 8.372093023255815e-06,
267
+ "loss": 1.4302,
268
+ "step": 180
269
+ },
270
+ {
271
+ "epoch": 0.0863275781614559,
272
+ "grad_norm": 1.1261343707762819,
273
+ "learning_rate": 8.604651162790698e-06,
274
+ "loss": 1.4193,
275
+ "step": 185
276
+ },
277
+ {
278
+ "epoch": 0.08866075594960336,
279
+ "grad_norm": 1.0205795295260502,
280
+ "learning_rate": 8.837209302325582e-06,
281
+ "loss": 1.408,
282
+ "step": 190
283
+ },
284
+ {
285
+ "epoch": 0.09099393373775082,
286
+ "grad_norm": 1.0305628773132736,
287
+ "learning_rate": 9.069767441860465e-06,
288
+ "loss": 1.396,
289
+ "step": 195
290
+ },
291
+ {
292
+ "epoch": 0.09332711152589827,
293
+ "grad_norm": 1.0168323756412534,
294
+ "learning_rate": 9.30232558139535e-06,
295
+ "loss": 1.3989,
296
+ "step": 200
297
+ },
298
+ {
299
+ "epoch": 0.09566028931404573,
300
+ "grad_norm": 1.0592651034511553,
301
+ "learning_rate": 9.534883720930234e-06,
302
+ "loss": 1.4059,
303
+ "step": 205
304
+ },
305
+ {
306
+ "epoch": 0.09799346710219319,
307
+ "grad_norm": 1.0527619853339831,
308
+ "learning_rate": 9.767441860465117e-06,
309
+ "loss": 1.3953,
310
+ "step": 210
311
+ },
312
+ {
313
+ "epoch": 0.10032664489034064,
314
+ "grad_norm": 1.0382749975421044,
315
+ "learning_rate": 1e-05,
316
+ "loss": 1.3678,
317
+ "step": 215
318
+ },
319
+ {
320
+ "epoch": 0.1026598226784881,
321
+ "grad_norm": 1.0740445133437382,
322
+ "learning_rate": 9.99983405533249e-06,
323
+ "loss": 1.3626,
324
+ "step": 220
325
+ },
326
+ {
327
+ "epoch": 0.10499300046663555,
328
+ "grad_norm": 1.0412363791977077,
329
+ "learning_rate": 9.999336232345011e-06,
330
+ "loss": 1.3715,
331
+ "step": 225
332
+ },
333
+ {
334
+ "epoch": 0.10732617825478301,
335
+ "grad_norm": 1.0798331517563926,
336
+ "learning_rate": 9.998506564081992e-06,
337
+ "loss": 1.3614,
338
+ "step": 230
339
+ },
340
+ {
341
+ "epoch": 0.10965935604293048,
342
+ "grad_norm": 1.011407284567422,
343
+ "learning_rate": 9.997345105615042e-06,
344
+ "loss": 1.3528,
345
+ "step": 235
346
+ },
347
+ {
348
+ "epoch": 0.11199253383107793,
349
+ "grad_norm": 1.0264212045694465,
350
+ "learning_rate": 9.995851934039295e-06,
351
+ "loss": 1.3702,
352
+ "step": 240
353
+ },
354
+ {
355
+ "epoch": 0.11432571161922539,
356
+ "grad_norm": 1.0151265854031215,
357
+ "learning_rate": 9.9940271484683e-06,
358
+ "loss": 1.3971,
359
+ "step": 245
360
+ },
361
+ {
362
+ "epoch": 0.11665888940737285,
363
+ "grad_norm": 1.0137571222792463,
364
+ "learning_rate": 9.991870870027426e-06,
365
+ "loss": 1.3481,
366
+ "step": 250
367
+ },
368
+ {
369
+ "epoch": 0.1189920671955203,
370
+ "grad_norm": 1.0336506251390232,
371
+ "learning_rate": 9.98938324184584e-06,
372
+ "loss": 1.3625,
373
+ "step": 255
374
+ },
375
+ {
376
+ "epoch": 0.12132524498366776,
377
+ "grad_norm": 1.0253769415462977,
378
+ "learning_rate": 9.986564429046992e-06,
379
+ "loss": 1.3499,
380
+ "step": 260
381
+ },
382
+ {
383
+ "epoch": 0.12365842277181521,
384
+ "grad_norm": 1.0522229786461792,
385
+ "learning_rate": 9.983414618737666e-06,
386
+ "loss": 1.3528,
387
+ "step": 265
388
+ },
389
+ {
390
+ "epoch": 0.12599160055996267,
391
+ "grad_norm": 1.024999010728076,
392
+ "learning_rate": 9.979934019995548e-06,
393
+ "loss": 1.3547,
394
+ "step": 270
395
+ },
396
+ {
397
+ "epoch": 0.12832477834811012,
398
+ "grad_norm": 1.1093536513592763,
399
+ "learning_rate": 9.976122863855362e-06,
400
+ "loss": 1.3401,
401
+ "step": 275
402
+ },
403
+ {
404
+ "epoch": 0.13065795613625758,
405
+ "grad_norm": 1.1061969996450292,
406
+ "learning_rate": 9.971981403293523e-06,
407
+ "loss": 1.35,
408
+ "step": 280
409
+ },
410
+ {
411
+ "epoch": 0.13299113392440504,
412
+ "grad_norm": 0.9968287298176753,
413
+ "learning_rate": 9.967509913211345e-06,
414
+ "loss": 1.3603,
415
+ "step": 285
416
+ },
417
+ {
418
+ "epoch": 0.1353243117125525,
419
+ "grad_norm": 1.013612829026822,
420
+ "learning_rate": 9.962708690416808e-06,
421
+ "loss": 1.3493,
422
+ "step": 290
423
+ },
424
+ {
425
+ "epoch": 0.13765748950069995,
426
+ "grad_norm": 1.0568780094515353,
427
+ "learning_rate": 9.957578053604837e-06,
428
+ "loss": 1.3507,
429
+ "step": 295
430
+ },
431
+ {
432
+ "epoch": 0.1399906672888474,
433
+ "grad_norm": 1.0302035014997373,
434
+ "learning_rate": 9.952118343336159e-06,
435
+ "loss": 1.3528,
436
+ "step": 300
437
+ },
438
+ {
439
+ "epoch": 0.14232384507699486,
440
+ "grad_norm": 1.1204985268605412,
441
+ "learning_rate": 9.946329922014698e-06,
442
+ "loss": 1.3214,
443
+ "step": 305
444
+ },
445
+ {
446
+ "epoch": 0.14465702286514232,
447
+ "grad_norm": 1.0206602255786714,
448
+ "learning_rate": 9.940213173863515e-06,
449
+ "loss": 1.3397,
450
+ "step": 310
451
+ },
452
+ {
453
+ "epoch": 0.14699020065328977,
454
+ "grad_norm": 1.0047788253768313,
455
+ "learning_rate": 9.933768504899305e-06,
456
+ "loss": 1.3403,
457
+ "step": 315
458
+ },
459
+ {
460
+ "epoch": 0.14932337844143723,
461
+ "grad_norm": 1.0059602159950058,
462
+ "learning_rate": 9.926996342905447e-06,
463
+ "loss": 1.339,
464
+ "step": 320
465
+ },
466
+ {
467
+ "epoch": 0.15165655622958468,
468
+ "grad_norm": 1.0680858345826512,
469
+ "learning_rate": 9.919897137403608e-06,
470
+ "loss": 1.3282,
471
+ "step": 325
472
+ },
473
+ {
474
+ "epoch": 0.15398973401773214,
475
+ "grad_norm": 1.0988238449226573,
476
+ "learning_rate": 9.912471359623905e-06,
477
+ "loss": 1.3387,
478
+ "step": 330
479
+ },
480
+ {
481
+ "epoch": 0.15632291180587962,
482
+ "grad_norm": 1.0407753070461003,
483
+ "learning_rate": 9.904719502473635e-06,
484
+ "loss": 1.3419,
485
+ "step": 335
486
+ },
487
+ {
488
+ "epoch": 0.15865608959402708,
489
+ "grad_norm": 1.9678367855655712,
490
+ "learning_rate": 9.896642080504533e-06,
491
+ "loss": 1.305,
492
+ "step": 340
493
+ },
494
+ {
495
+ "epoch": 0.16098926738217453,
496
+ "grad_norm": 1.0132213744433203,
497
+ "learning_rate": 9.888239629878644e-06,
498
+ "loss": 1.3162,
499
+ "step": 345
500
+ },
501
+ {
502
+ "epoch": 0.163322445170322,
503
+ "grad_norm": 1.0630881401389387,
504
+ "learning_rate": 9.879512708332719e-06,
505
+ "loss": 1.3301,
506
+ "step": 350
507
+ },
508
+ {
509
+ "epoch": 0.16565562295846945,
510
+ "grad_norm": 1.0924159128355844,
511
+ "learning_rate": 9.870461895141195e-06,
512
+ "loss": 1.3132,
513
+ "step": 355
514
+ },
515
+ {
516
+ "epoch": 0.1679888007466169,
517
+ "grad_norm": 1.023846931107391,
518
+ "learning_rate": 9.861087791077743e-06,
519
+ "loss": 1.329,
520
+ "step": 360
521
+ },
522
+ {
523
+ "epoch": 0.17032197853476436,
524
+ "grad_norm": 1.047359966523088,
525
+ "learning_rate": 9.851391018375401e-06,
526
+ "loss": 1.3072,
527
+ "step": 365
528
+ },
529
+ {
530
+ "epoch": 0.1726551563229118,
531
+ "grad_norm": 1.044195763995568,
532
+ "learning_rate": 9.841372220685255e-06,
533
+ "loss": 1.3109,
534
+ "step": 370
535
+ },
536
+ {
537
+ "epoch": 0.17498833411105927,
538
+ "grad_norm": 1.0128207414270844,
539
+ "learning_rate": 9.831032063033726e-06,
540
+ "loss": 1.3137,
541
+ "step": 375
542
+ },
543
+ {
544
+ "epoch": 0.17732151189920672,
545
+ "grad_norm": 1.0376596949653651,
546
+ "learning_rate": 9.820371231778422e-06,
547
+ "loss": 1.315,
548
+ "step": 380
549
+ },
550
+ {
551
+ "epoch": 0.17965468968735418,
552
+ "grad_norm": 1.0732468663894352,
553
+ "learning_rate": 9.809390434562587e-06,
554
+ "loss": 1.3303,
555
+ "step": 385
556
+ },
557
+ {
558
+ "epoch": 0.18198786747550164,
559
+ "grad_norm": 1.0310831100992088,
560
+ "learning_rate": 9.798090400268112e-06,
561
+ "loss": 1.3006,
562
+ "step": 390
563
+ },
564
+ {
565
+ "epoch": 0.1843210452636491,
566
+ "grad_norm": 1.0787827591552768,
567
+ "learning_rate": 9.786471878967174e-06,
568
+ "loss": 1.3181,
569
+ "step": 395
570
+ },
571
+ {
572
+ "epoch": 0.18665422305179655,
573
+ "grad_norm": 1.0756929184793924,
574
+ "learning_rate": 9.774535641872435e-06,
575
+ "loss": 1.31,
576
+ "step": 400
577
+ },
578
+ {
579
+ "epoch": 0.188987400839944,
580
+ "grad_norm": 1.0427098406775361,
581
+ "learning_rate": 9.762282481285852e-06,
582
+ "loss": 1.3156,
583
+ "step": 405
584
+ },
585
+ {
586
+ "epoch": 0.19132057862809146,
587
+ "grad_norm": 1.0326233577660273,
588
+ "learning_rate": 9.749713210546088e-06,
589
+ "loss": 1.293,
590
+ "step": 410
591
+ },
592
+ {
593
+ "epoch": 0.19365375641623891,
594
+ "grad_norm": 1.0741587494935991,
595
+ "learning_rate": 9.736828663974527e-06,
596
+ "loss": 1.282,
597
+ "step": 415
598
+ },
599
+ {
600
+ "epoch": 0.19598693420438637,
601
+ "grad_norm": 1.0816194382016036,
602
+ "learning_rate": 9.723629696819886e-06,
603
+ "loss": 1.2938,
604
+ "step": 420
605
+ },
606
+ {
607
+ "epoch": 0.19832011199253383,
608
+ "grad_norm": 0.9984733308364518,
609
+ "learning_rate": 9.710117185201454e-06,
610
+ "loss": 1.2857,
611
+ "step": 425
612
+ },
613
+ {
614
+ "epoch": 0.20065328978068128,
615
+ "grad_norm": 0.9906611455624028,
616
+ "learning_rate": 9.696292026050924e-06,
617
+ "loss": 1.2858,
618
+ "step": 430
619
+ },
620
+ {
621
+ "epoch": 0.20298646756882874,
622
+ "grad_norm": 1.0663086458961843,
623
+ "learning_rate": 9.682155137052879e-06,
624
+ "loss": 1.3047,
625
+ "step": 435
626
+ },
627
+ {
628
+ "epoch": 0.2053196453569762,
629
+ "grad_norm": 1.0107057639706856,
630
+ "learning_rate": 9.667707456583852e-06,
631
+ "loss": 1.3029,
632
+ "step": 440
633
+ },
634
+ {
635
+ "epoch": 0.20765282314512365,
636
+ "grad_norm": 1.0168731805211708,
637
+ "learning_rate": 9.652949943650056e-06,
638
+ "loss": 1.2726,
639
+ "step": 445
640
+ },
641
+ {
642
+ "epoch": 0.2099860009332711,
643
+ "grad_norm": 1.0160477312627205,
644
+ "learning_rate": 9.637883577823723e-06,
645
+ "loss": 1.2753,
646
+ "step": 450
647
+ },
648
+ {
649
+ "epoch": 0.21231917872141856,
650
+ "grad_norm": 1.1693881065930087,
651
+ "learning_rate": 9.62250935917808e-06,
652
+ "loss": 1.3133,
653
+ "step": 455
654
+ },
655
+ {
656
+ "epoch": 0.21465235650956602,
657
+ "grad_norm": 1.0557301758163573,
658
+ "learning_rate": 9.606828308220969e-06,
659
+ "loss": 1.2919,
660
+ "step": 460
661
+ },
662
+ {
663
+ "epoch": 0.21698553429771347,
664
+ "grad_norm": 4.373400569853208,
665
+ "learning_rate": 9.590841465827101e-06,
666
+ "loss": 1.2824,
667
+ "step": 465
668
+ },
669
+ {
670
+ "epoch": 0.21931871208586096,
671
+ "grad_norm": 1.0619679865152813,
672
+ "learning_rate": 9.574549893168979e-06,
673
+ "loss": 1.2929,
674
+ "step": 470
675
+ },
676
+ {
677
+ "epoch": 0.2216518898740084,
678
+ "grad_norm": 1.0679642526657762,
679
+ "learning_rate": 9.55795467164644e-06,
680
+ "loss": 1.2535,
681
+ "step": 475
682
+ },
683
+ {
684
+ "epoch": 0.22398506766215587,
685
+ "grad_norm": 1.5564747329752795,
686
+ "learning_rate": 9.541056902814899e-06,
687
+ "loss": 1.2675,
688
+ "step": 480
689
+ },
690
+ {
691
+ "epoch": 0.22631824545030332,
692
+ "grad_norm": 1.0444627624649723,
693
+ "learning_rate": 9.523857708312201e-06,
694
+ "loss": 1.2845,
695
+ "step": 485
696
+ },
697
+ {
698
+ "epoch": 0.22865142323845078,
699
+ "grad_norm": 1.0667210588899647,
700
+ "learning_rate": 9.506358229784195e-06,
701
+ "loss": 1.2848,
702
+ "step": 490
703
+ },
704
+ {
705
+ "epoch": 0.23098460102659824,
706
+ "grad_norm": 1.5842276148510732,
707
+ "learning_rate": 9.488559628808939e-06,
708
+ "loss": 1.2699,
709
+ "step": 495
710
+ },
711
+ {
712
+ "epoch": 0.2333177788147457,
713
+ "grad_norm": 0.9922450399570858,
714
+ "learning_rate": 9.4704630868196e-06,
715
+ "loss": 1.2803,
716
+ "step": 500
717
+ },
718
+ {
719
+ "epoch": 0.23565095660289315,
720
+ "grad_norm": 1.0132074141463145,
721
+ "learning_rate": 9.452069805026038e-06,
722
+ "loss": 1.2705,
723
+ "step": 505
724
+ },
725
+ {
726
+ "epoch": 0.2379841343910406,
727
+ "grad_norm": 1.026988458522716,
728
+ "learning_rate": 9.433381004335062e-06,
729
+ "loss": 1.2762,
730
+ "step": 510
731
+ },
732
+ {
733
+ "epoch": 0.24031731217918806,
734
+ "grad_norm": 1.1203984022146773,
735
+ "learning_rate": 9.414397925269402e-06,
736
+ "loss": 1.3016,
737
+ "step": 515
738
+ },
739
+ {
740
+ "epoch": 0.24265048996733551,
741
+ "grad_norm": 1.0671496131373208,
742
+ "learning_rate": 9.395121827885356e-06,
743
+ "loss": 1.2911,
744
+ "step": 520
745
+ },
746
+ {
747
+ "epoch": 0.24498366775548297,
748
+ "grad_norm": 2.7685041556877423,
749
+ "learning_rate": 9.37555399168915e-06,
750
+ "loss": 1.2775,
751
+ "step": 525
752
+ },
753
+ {
754
+ "epoch": 0.24731684554363043,
755
+ "grad_norm": 2.8528623255508117,
756
+ "learning_rate": 9.355695715552013e-06,
757
+ "loss": 1.2716,
758
+ "step": 530
759
+ },
760
+ {
761
+ "epoch": 0.24965002333177788,
762
+ "grad_norm": 1.2859643878984603,
763
+ "learning_rate": 9.335548317623957e-06,
764
+ "loss": 1.2728,
765
+ "step": 535
766
+ },
767
+ {
768
+ "epoch": 0.25198320111992534,
769
+ "grad_norm": 2.4274725182984844,
770
+ "learning_rate": 9.315113135246285e-06,
771
+ "loss": 1.2754,
772
+ "step": 540
773
+ },
774
+ {
775
+ "epoch": 0.2543163789080728,
776
+ "grad_norm": 1.1217174489348858,
777
+ "learning_rate": 9.294391524862811e-06,
778
+ "loss": 1.2604,
779
+ "step": 545
780
+ },
781
+ {
782
+ "epoch": 0.25664955669622025,
783
+ "grad_norm": 1.0486163590013748,
784
+ "learning_rate": 9.273384861929837e-06,
785
+ "loss": 1.2703,
786
+ "step": 550
787
+ },
788
+ {
789
+ "epoch": 0.2589827344843677,
790
+ "grad_norm": 1.0528093884917247,
791
+ "learning_rate": 9.252094540824839e-06,
792
+ "loss": 1.2691,
793
+ "step": 555
794
+ },
795
+ {
796
+ "epoch": 0.26131591227251516,
797
+ "grad_norm": 1.9102440979365067,
798
+ "learning_rate": 9.23052197475392e-06,
799
+ "loss": 1.2659,
800
+ "step": 560
801
+ },
802
+ {
803
+ "epoch": 0.2636490900606626,
804
+ "grad_norm": 1.0178265895261382,
805
+ "learning_rate": 9.208668595658002e-06,
806
+ "loss": 1.2752,
807
+ "step": 565
808
+ },
809
+ {
810
+ "epoch": 0.26598226784881007,
811
+ "grad_norm": 2.197285212459847,
812
+ "learning_rate": 9.186535854117778e-06,
813
+ "loss": 1.2634,
814
+ "step": 570
815
+ },
816
+ {
817
+ "epoch": 0.26831544563695753,
818
+ "grad_norm": 1.0083314151134946,
819
+ "learning_rate": 9.164125219257419e-06,
820
+ "loss": 1.2624,
821
+ "step": 575
822
+ },
823
+ {
824
+ "epoch": 0.270648623425105,
825
+ "grad_norm": 1.0602777669989065,
826
+ "learning_rate": 9.141438178647066e-06,
827
+ "loss": 1.2643,
828
+ "step": 580
829
+ },
830
+ {
831
+ "epoch": 0.27298180121325244,
832
+ "grad_norm": 1.0717173948847758,
833
+ "learning_rate": 9.118476238204086e-06,
834
+ "loss": 1.2876,
835
+ "step": 585
836
+ },
837
+ {
838
+ "epoch": 0.2753149790013999,
839
+ "grad_norm": 1.1056050793242909,
840
+ "learning_rate": 9.095240922093106e-06,
841
+ "loss": 1.2728,
842
+ "step": 590
843
+ },
844
+ {
845
+ "epoch": 0.27764815678954735,
846
+ "grad_norm": 1.0422843147354741,
847
+ "learning_rate": 9.071733772624847e-06,
848
+ "loss": 1.2581,
849
+ "step": 595
850
+ },
851
+ {
852
+ "epoch": 0.2799813345776948,
853
+ "grad_norm": 1.0261265251675429,
854
+ "learning_rate": 9.047956350153752e-06,
855
+ "loss": 1.2678,
856
+ "step": 600
857
+ },
858
+ {
859
+ "epoch": 0.28231451236584226,
860
+ "grad_norm": 1.034637763098494,
861
+ "learning_rate": 9.023910232974409e-06,
862
+ "loss": 1.2521,
863
+ "step": 605
864
+ },
865
+ {
866
+ "epoch": 0.2846476901539897,
867
+ "grad_norm": 1.0323624643145786,
868
+ "learning_rate": 8.999597017216783e-06,
869
+ "loss": 1.261,
870
+ "step": 610
871
+ },
872
+ {
873
+ "epoch": 0.2869808679421372,
874
+ "grad_norm": 1.0481523558473382,
875
+ "learning_rate": 8.975018316740278e-06,
876
+ "loss": 1.254,
877
+ "step": 615
878
+ },
879
+ {
880
+ "epoch": 0.28931404573028463,
881
+ "grad_norm": 1.1605502914450527,
882
+ "learning_rate": 8.950175763026606e-06,
883
+ "loss": 1.263,
884
+ "step": 620
885
+ },
886
+ {
887
+ "epoch": 0.2916472235184321,
888
+ "grad_norm": 1.0934897325180564,
889
+ "learning_rate": 8.92507100507149e-06,
890
+ "loss": 1.2486,
891
+ "step": 625
892
+ },
893
+ {
894
+ "epoch": 0.29398040130657954,
895
+ "grad_norm": 1.0558730155031821,
896
+ "learning_rate": 8.899705709275218e-06,
897
+ "loss": 1.2428,
898
+ "step": 630
899
+ },
900
+ {
901
+ "epoch": 0.296313579094727,
902
+ "grad_norm": 1.0295350215627783,
903
+ "learning_rate": 8.87408155933202e-06,
904
+ "loss": 1.2707,
905
+ "step": 635
906
+ },
907
+ {
908
+ "epoch": 0.29864675688287445,
909
+ "grad_norm": 1.0694009076261313,
910
+ "learning_rate": 8.848200256118312e-06,
911
+ "loss": 1.2653,
912
+ "step": 640
913
+ },
914
+ {
915
+ "epoch": 0.3009799346710219,
916
+ "grad_norm": 1.0753277243247061,
917
+ "learning_rate": 8.822063517579798e-06,
918
+ "loss": 1.2397,
919
+ "step": 645
920
+ },
921
+ {
922
+ "epoch": 0.30331311245916937,
923
+ "grad_norm": 1.0535024700747178,
924
+ "learning_rate": 8.795673078617433e-06,
925
+ "loss": 1.2595,
926
+ "step": 650
927
+ },
928
+ {
929
+ "epoch": 0.3056462902473168,
930
+ "grad_norm": 1.0137561554460717,
931
+ "learning_rate": 8.769030690972262e-06,
932
+ "loss": 1.2262,
933
+ "step": 655
934
+ },
935
+ {
936
+ "epoch": 0.3079794680354643,
937
+ "grad_norm": 1.0932783124268566,
938
+ "learning_rate": 8.742138123109152e-06,
939
+ "loss": 1.2393,
940
+ "step": 660
941
+ },
942
+ {
943
+ "epoch": 0.31031264582361173,
944
+ "grad_norm": 1.0628280551049016,
945
+ "learning_rate": 8.714997160099394e-06,
946
+ "loss": 1.2529,
947
+ "step": 665
948
+ },
949
+ {
950
+ "epoch": 0.31264582361175924,
951
+ "grad_norm": 1.0650855341182235,
952
+ "learning_rate": 8.687609603502221e-06,
953
+ "loss": 1.239,
954
+ "step": 670
955
+ },
956
+ {
957
+ "epoch": 0.3149790013999067,
958
+ "grad_norm": 1.0418454815263511,
959
+ "learning_rate": 8.659977271245224e-06,
960
+ "loss": 1.2365,
961
+ "step": 675
962
+ },
963
+ {
964
+ "epoch": 0.31731217918805416,
965
+ "grad_norm": 1.0693052438489,
966
+ "learning_rate": 8.632101997503676e-06,
967
+ "loss": 1.2553,
968
+ "step": 680
969
+ },
970
+ {
971
+ "epoch": 0.3196453569762016,
972
+ "grad_norm": 1.3138342888196584,
973
+ "learning_rate": 8.603985632578793e-06,
974
+ "loss": 1.2461,
975
+ "step": 685
976
+ },
977
+ {
978
+ "epoch": 0.32197853476434907,
979
+ "grad_norm": 1.0223048276218463,
980
+ "learning_rate": 8.575630042774903e-06,
981
+ "loss": 1.225,
982
+ "step": 690
983
+ },
984
+ {
985
+ "epoch": 0.3243117125524965,
986
+ "grad_norm": 1.0450282062346927,
987
+ "learning_rate": 8.54703711027558e-06,
988
+ "loss": 1.2262,
989
+ "step": 695
990
+ },
991
+ {
992
+ "epoch": 0.326644890340644,
993
+ "grad_norm": 0.9918363416045388,
994
+ "learning_rate": 8.51820873301869e-06,
995
+ "loss": 1.2573,
996
+ "step": 700
997
+ },
998
+ {
999
+ "epoch": 0.32897806812879143,
1000
+ "grad_norm": 1.06271246651747,
1001
+ "learning_rate": 8.489146824570427e-06,
1002
+ "loss": 1.2548,
1003
+ "step": 705
1004
+ },
1005
+ {
1006
+ "epoch": 0.3313112459169389,
1007
+ "grad_norm": 1.9277320512581375,
1008
+ "learning_rate": 8.459853313998285e-06,
1009
+ "loss": 1.2272,
1010
+ "step": 710
1011
+ },
1012
+ {
1013
+ "epoch": 0.33364442370508635,
1014
+ "grad_norm": 1.0225880982273274,
1015
+ "learning_rate": 8.430330145743011e-06,
1016
+ "loss": 1.2584,
1017
+ "step": 715
1018
+ },
1019
+ {
1020
+ "epoch": 0.3359776014932338,
1021
+ "grad_norm": 1.0170952993101696,
1022
+ "learning_rate": 8.40057927948954e-06,
1023
+ "loss": 1.2332,
1024
+ "step": 720
1025
+ },
1026
+ {
1027
+ "epoch": 0.33831077928138126,
1028
+ "grad_norm": 1.0726533938970475,
1029
+ "learning_rate": 8.370602690036922e-06,
1030
+ "loss": 1.2551,
1031
+ "step": 725
1032
+ },
1033
+ {
1034
+ "epoch": 0.3406439570695287,
1035
+ "grad_norm": 1.0448011850008472,
1036
+ "learning_rate": 8.340402367167217e-06,
1037
+ "loss": 1.2558,
1038
+ "step": 730
1039
+ },
1040
+ {
1041
+ "epoch": 0.34297713485767617,
1042
+ "grad_norm": 1.0134797522135224,
1043
+ "learning_rate": 8.309980315513444e-06,
1044
+ "loss": 1.2589,
1045
+ "step": 735
1046
+ },
1047
+ {
1048
+ "epoch": 0.3453103126458236,
1049
+ "grad_norm": 1.0991723144604053,
1050
+ "learning_rate": 8.279338554426501e-06,
1051
+ "loss": 1.2392,
1052
+ "step": 740
1053
+ },
1054
+ {
1055
+ "epoch": 0.3476434904339711,
1056
+ "grad_norm": 1.071882495980135,
1057
+ "learning_rate": 8.248479117841131e-06,
1058
+ "loss": 1.2587,
1059
+ "step": 745
1060
+ },
1061
+ {
1062
+ "epoch": 0.34997666822211854,
1063
+ "grad_norm": 1.0685500688501697,
1064
+ "learning_rate": 8.21740405414091e-06,
1065
+ "loss": 1.2353,
1066
+ "step": 750
1067
+ },
1068
+ {
1069
+ "epoch": 0.352309846010266,
1070
+ "grad_norm": 1.042339901064479,
1071
+ "learning_rate": 8.186115426022286e-06,
1072
+ "loss": 1.245,
1073
+ "step": 755
1074
+ },
1075
+ {
1076
+ "epoch": 0.35464302379841345,
1077
+ "grad_norm": 1.066718894369678,
1078
+ "learning_rate": 8.15461531035765e-06,
1079
+ "loss": 1.2464,
1080
+ "step": 760
1081
+ },
1082
+ {
1083
+ "epoch": 0.3569762015865609,
1084
+ "grad_norm": 1.0022004592600267,
1085
+ "learning_rate": 8.122905798057496e-06,
1086
+ "loss": 1.2288,
1087
+ "step": 765
1088
+ },
1089
+ {
1090
+ "epoch": 0.35930937937470836,
1091
+ "grad_norm": 1.0463029745800396,
1092
+ "learning_rate": 8.09098899393161e-06,
1093
+ "loss": 1.2366,
1094
+ "step": 770
1095
+ },
1096
+ {
1097
+ "epoch": 0.3616425571628558,
1098
+ "grad_norm": 1.003258240089985,
1099
+ "learning_rate": 8.058867016549372e-06,
1100
+ "loss": 1.2427,
1101
+ "step": 775
1102
+ },
1103
+ {
1104
+ "epoch": 0.36397573495100327,
1105
+ "grad_norm": 1.0222698171488636,
1106
+ "learning_rate": 8.026541998099128e-06,
1107
+ "loss": 1.2322,
1108
+ "step": 780
1109
+ },
1110
+ {
1111
+ "epoch": 0.3663089127391507,
1112
+ "grad_norm": 1.0420407590803933,
1113
+ "learning_rate": 7.99401608424665e-06,
1114
+ "loss": 1.2206,
1115
+ "step": 785
1116
+ },
1117
+ {
1118
+ "epoch": 0.3686420905272982,
1119
+ "grad_norm": 1.04348299507265,
1120
+ "learning_rate": 7.961291433992724e-06,
1121
+ "loss": 1.226,
1122
+ "step": 790
1123
+ },
1124
+ {
1125
+ "epoch": 0.37097526831544564,
1126
+ "grad_norm": 1.022552265241213,
1127
+ "learning_rate": 7.92837021952983e-06,
1128
+ "loss": 1.2259,
1129
+ "step": 795
1130
+ },
1131
+ {
1132
+ "epoch": 0.3733084461035931,
1133
+ "grad_norm": 1.097606795470717,
1134
+ "learning_rate": 7.895254626097965e-06,
1135
+ "loss": 1.2384,
1136
+ "step": 800
1137
+ },
1138
+ {
1139
+ "epoch": 0.37564162389174055,
1140
+ "grad_norm": 1.0541836162910783,
1141
+ "learning_rate": 7.861946851839587e-06,
1142
+ "loss": 1.2487,
1143
+ "step": 805
1144
+ },
1145
+ {
1146
+ "epoch": 0.377974801679888,
1147
+ "grad_norm": 1.0349968149631121,
1148
+ "learning_rate": 7.828449107653703e-06,
1149
+ "loss": 1.2403,
1150
+ "step": 810
1151
+ },
1152
+ {
1153
+ "epoch": 0.38030797946803546,
1154
+ "grad_norm": 1.062977072731999,
1155
+ "learning_rate": 7.794763617049124e-06,
1156
+ "loss": 1.2151,
1157
+ "step": 815
1158
+ },
1159
+ {
1160
+ "epoch": 0.3826411572561829,
1161
+ "grad_norm": 1.017338250886252,
1162
+ "learning_rate": 7.760892615996863e-06,
1163
+ "loss": 1.2171,
1164
+ "step": 820
1165
+ },
1166
+ {
1167
+ "epoch": 0.3849743350443304,
1168
+ "grad_norm": 2.3082015473298063,
1169
+ "learning_rate": 7.726838352781722e-06,
1170
+ "loss": 1.2324,
1171
+ "step": 825
1172
+ },
1173
+ {
1174
+ "epoch": 0.38730751283247783,
1175
+ "grad_norm": 1.058808550011615,
1176
+ "learning_rate": 7.692603087853061e-06,
1177
+ "loss": 1.1991,
1178
+ "step": 830
1179
+ },
1180
+ {
1181
+ "epoch": 0.3896406906206253,
1182
+ "grad_norm": 1.0499629018100114,
1183
+ "learning_rate": 7.658189093674738e-06,
1184
+ "loss": 1.2086,
1185
+ "step": 835
1186
+ },
1187
+ {
1188
+ "epoch": 0.39197386840877274,
1189
+ "grad_norm": 1.0569128259398222,
1190
+ "learning_rate": 7.623598654574282e-06,
1191
+ "loss": 1.2272,
1192
+ "step": 840
1193
+ },
1194
+ {
1195
+ "epoch": 0.3943070461969202,
1196
+ "grad_norm": 1.0286667886499616,
1197
+ "learning_rate": 7.588834066591262e-06,
1198
+ "loss": 1.1978,
1199
+ "step": 845
1200
+ },
1201
+ {
1202
+ "epoch": 0.39664022398506765,
1203
+ "grad_norm": 1.2741293758254737,
1204
+ "learning_rate": 7.5538976373248714e-06,
1205
+ "loss": 1.2325,
1206
+ "step": 850
1207
+ },
1208
+ {
1209
+ "epoch": 0.3989734017732151,
1210
+ "grad_norm": 1.0435046533642063,
1211
+ "learning_rate": 7.518791685780769e-06,
1212
+ "loss": 1.2181,
1213
+ "step": 855
1214
+ },
1215
+ {
1216
+ "epoch": 0.40130657956136256,
1217
+ "grad_norm": 1.0477549817973404,
1218
+ "learning_rate": 7.483518542217136e-06,
1219
+ "loss": 1.21,
1220
+ "step": 860
1221
+ },
1222
+ {
1223
+ "epoch": 0.40363975734951,
1224
+ "grad_norm": 1.0098176664351024,
1225
+ "learning_rate": 7.448080547990004e-06,
1226
+ "loss": 1.2155,
1227
+ "step": 865
1228
+ },
1229
+ {
1230
+ "epoch": 0.4059729351376575,
1231
+ "grad_norm": 1.0230304313094294,
1232
+ "learning_rate": 7.412480055397844e-06,
1233
+ "loss": 1.2223,
1234
+ "step": 870
1235
+ },
1236
+ {
1237
+ "epoch": 0.40830611292580493,
1238
+ "grad_norm": 1.0759762672999653,
1239
+ "learning_rate": 7.376719427525415e-06,
1240
+ "loss": 1.2253,
1241
+ "step": 875
1242
+ },
1243
+ {
1244
+ "epoch": 0.4106392907139524,
1245
+ "grad_norm": 1.0624534512175727,
1246
+ "learning_rate": 7.340801038086919e-06,
1247
+ "loss": 1.2162,
1248
+ "step": 880
1249
+ },
1250
+ {
1251
+ "epoch": 0.41297246850209984,
1252
+ "grad_norm": 1.0857553904287731,
1253
+ "learning_rate": 7.304727271268435e-06,
1254
+ "loss": 1.221,
1255
+ "step": 885
1256
+ },
1257
+ {
1258
+ "epoch": 0.4153056462902473,
1259
+ "grad_norm": 1.0668655239257339,
1260
+ "learning_rate": 7.2685005215696555e-06,
1261
+ "loss": 1.2144,
1262
+ "step": 890
1263
+ },
1264
+ {
1265
+ "epoch": 0.41763882407839475,
1266
+ "grad_norm": 1.1051644997392926,
1267
+ "learning_rate": 7.232123193644957e-06,
1268
+ "loss": 1.2267,
1269
+ "step": 895
1270
+ },
1271
+ {
1272
+ "epoch": 0.4199720018665422,
1273
+ "grad_norm": 1.072660002160975,
1274
+ "learning_rate": 7.1955977021437725e-06,
1275
+ "loss": 1.2052,
1276
+ "step": 900
1277
+ },
1278
+ {
1279
+ "epoch": 0.42230517965468967,
1280
+ "grad_norm": 1.0547907347649101,
1281
+ "learning_rate": 7.158926471550322e-06,
1282
+ "loss": 1.217,
1283
+ "step": 905
1284
+ },
1285
+ {
1286
+ "epoch": 0.4246383574428371,
1287
+ "grad_norm": 1.0373918799651074,
1288
+ "learning_rate": 7.122111936022668e-06,
1289
+ "loss": 1.1991,
1290
+ "step": 910
1291
+ },
1292
+ {
1293
+ "epoch": 0.4269715352309846,
1294
+ "grad_norm": 1.0180347309655173,
1295
+ "learning_rate": 7.085156539231159e-06,
1296
+ "loss": 1.2048,
1297
+ "step": 915
1298
+ },
1299
+ {
1300
+ "epoch": 0.42930471301913203,
1301
+ "grad_norm": 1.0020432136327553,
1302
+ "learning_rate": 7.048062734196205e-06,
1303
+ "loss": 1.2069,
1304
+ "step": 920
1305
+ },
1306
+ {
1307
+ "epoch": 0.4316378908072795,
1308
+ "grad_norm": 1.0019624234869275,
1309
+ "learning_rate": 7.010832983125464e-06,
1310
+ "loss": 1.2123,
1311
+ "step": 925
1312
+ },
1313
+ {
1314
+ "epoch": 0.43397106859542695,
1315
+ "grad_norm": 1.0444982695681746,
1316
+ "learning_rate": 6.9734697572504e-06,
1317
+ "loss": 1.2149,
1318
+ "step": 930
1319
+ },
1320
+ {
1321
+ "epoch": 0.4363042463835744,
1322
+ "grad_norm": 1.055679566452759,
1323
+ "learning_rate": 6.935975536662254e-06,
1324
+ "loss": 1.2142,
1325
+ "step": 935
1326
+ },
1327
+ {
1328
+ "epoch": 0.4386374241717219,
1329
+ "grad_norm": 1.0048337902872553,
1330
+ "learning_rate": 6.898352810147412e-06,
1331
+ "loss": 1.2126,
1332
+ "step": 940
1333
+ },
1334
+ {
1335
+ "epoch": 0.44097060195986937,
1336
+ "grad_norm": 1.0301369602777193,
1337
+ "learning_rate": 6.8606040750222105e-06,
1338
+ "loss": 1.2124,
1339
+ "step": 945
1340
+ },
1341
+ {
1342
+ "epoch": 0.4433037797480168,
1343
+ "grad_norm": 1.1560038891523179,
1344
+ "learning_rate": 6.822731836967169e-06,
1345
+ "loss": 1.1984,
1346
+ "step": 950
1347
+ },
1348
+ {
1349
+ "epoch": 0.4456369575361643,
1350
+ "grad_norm": 1.5225878413594751,
1351
+ "learning_rate": 6.784738609860668e-06,
1352
+ "loss": 1.194,
1353
+ "step": 955
1354
+ },
1355
+ {
1356
+ "epoch": 0.44797013532431174,
1357
+ "grad_norm": 1.0394310371271565,
1358
+ "learning_rate": 6.746626915612086e-06,
1359
+ "loss": 1.2145,
1360
+ "step": 960
1361
+ },
1362
+ {
1363
+ "epoch": 0.4503033131124592,
1364
+ "grad_norm": 1.025841604703853,
1365
+ "learning_rate": 6.708399283994392e-06,
1366
+ "loss": 1.208,
1367
+ "step": 965
1368
+ },
1369
+ {
1370
+ "epoch": 0.45263649090060665,
1371
+ "grad_norm": 1.0626994430061882,
1372
+ "learning_rate": 6.6700582524762354e-06,
1373
+ "loss": 1.2222,
1374
+ "step": 970
1375
+ },
1376
+ {
1377
+ "epoch": 0.4549696686887541,
1378
+ "grad_norm": 1.0339134333462732,
1379
+ "learning_rate": 6.631606366053507e-06,
1380
+ "loss": 1.1966,
1381
+ "step": 975
1382
+ },
1383
+ {
1384
+ "epoch": 0.45730284647690156,
1385
+ "grad_norm": 1.0081371270360229,
1386
+ "learning_rate": 6.593046177080409e-06,
1387
+ "loss": 1.1999,
1388
+ "step": 980
1389
+ },
1390
+ {
1391
+ "epoch": 0.459636024265049,
1392
+ "grad_norm": 1.0694789970224579,
1393
+ "learning_rate": 6.554380245100035e-06,
1394
+ "loss": 1.204,
1395
+ "step": 985
1396
+ },
1397
+ {
1398
+ "epoch": 0.46196920205319647,
1399
+ "grad_norm": 1.000889123266167,
1400
+ "learning_rate": 6.51561113667448e-06,
1401
+ "loss": 1.2194,
1402
+ "step": 990
1403
+ },
1404
+ {
1405
+ "epoch": 0.4643023798413439,
1406
+ "grad_norm": 1.0630980618578947,
1407
+ "learning_rate": 6.476741425214464e-06,
1408
+ "loss": 1.1853,
1409
+ "step": 995
1410
+ },
1411
+ {
1412
+ "epoch": 0.4666355576294914,
1413
+ "grad_norm": 1.0311623863233943,
1414
+ "learning_rate": 6.437773690808526e-06,
1415
+ "loss": 1.1926,
1416
+ "step": 1000
1417
+ },
1418
+ {
1419
+ "epoch": 0.46896873541763884,
1420
+ "grad_norm": 1.0533210989046884,
1421
+ "learning_rate": 6.3987105200517565e-06,
1422
+ "loss": 1.2123,
1423
+ "step": 1005
1424
+ },
1425
+ {
1426
+ "epoch": 0.4713019132057863,
1427
+ "grad_norm": 1.0436147901486108,
1428
+ "learning_rate": 6.359554505874109e-06,
1429
+ "loss": 1.1944,
1430
+ "step": 1010
1431
+ },
1432
+ {
1433
+ "epoch": 0.47363509099393375,
1434
+ "grad_norm": 5.5623971506515755,
1435
+ "learning_rate": 6.320308247368285e-06,
1436
+ "loss": 1.2146,
1437
+ "step": 1015
1438
+ },
1439
+ {
1440
+ "epoch": 0.4759682687820812,
1441
+ "grad_norm": 1.0083178059337383,
1442
+ "learning_rate": 6.280974349617215e-06,
1443
+ "loss": 1.1896,
1444
+ "step": 1020
1445
+ },
1446
+ {
1447
+ "epoch": 0.47830144657022866,
1448
+ "grad_norm": 0.9918638956644074,
1449
+ "learning_rate": 6.241555423521129e-06,
1450
+ "loss": 1.2006,
1451
+ "step": 1025
1452
+ },
1453
+ {
1454
+ "epoch": 0.4806346243583761,
1455
+ "grad_norm": 1.0425283854831346,
1456
+ "learning_rate": 6.202054085624262e-06,
1457
+ "loss": 1.1955,
1458
+ "step": 1030
1459
+ },
1460
+ {
1461
+ "epoch": 0.4829678021465236,
1462
+ "grad_norm": 1.0174742035512065,
1463
+ "learning_rate": 6.162472957941167e-06,
1464
+ "loss": 1.183,
1465
+ "step": 1035
1466
+ },
1467
+ {
1468
+ "epoch": 0.48530097993467103,
1469
+ "grad_norm": 1.0687571711931383,
1470
+ "learning_rate": 6.122814667782674e-06,
1471
+ "loss": 1.1985,
1472
+ "step": 1040
1473
+ },
1474
+ {
1475
+ "epoch": 0.4876341577228185,
1476
+ "grad_norm": 1.0330507478699027,
1477
+ "learning_rate": 6.083081847581491e-06,
1478
+ "loss": 1.1945,
1479
+ "step": 1045
1480
+ },
1481
+ {
1482
+ "epoch": 0.48996733551096594,
1483
+ "grad_norm": 1.0594437081263992,
1484
+ "learning_rate": 6.0432771347174755e-06,
1485
+ "loss": 1.1991,
1486
+ "step": 1050
1487
+ },
1488
+ {
1489
+ "epoch": 0.4923005132991134,
1490
+ "grad_norm": 1.013334160895624,
1491
+ "learning_rate": 6.0034031713425636e-06,
1492
+ "loss": 1.2163,
1493
+ "step": 1055
1494
+ },
1495
+ {
1496
+ "epoch": 0.49463369108726085,
1497
+ "grad_norm": 1.034975289803585,
1498
+ "learning_rate": 5.963462604205392e-06,
1499
+ "loss": 1.2049,
1500
+ "step": 1060
1501
+ },
1502
+ {
1503
+ "epoch": 0.4969668688754083,
1504
+ "grad_norm": 1.0450297189254285,
1505
+ "learning_rate": 5.923458084475616e-06,
1506
+ "loss": 1.2088,
1507
+ "step": 1065
1508
+ },
1509
+ {
1510
+ "epoch": 0.49930004666355576,
1511
+ "grad_norm": 1.0056642936962568,
1512
+ "learning_rate": 5.883392267567925e-06,
1513
+ "loss": 1.2074,
1514
+ "step": 1070
1515
+ },
1516
+ {
1517
+ "epoch": 0.5016332244517032,
1518
+ "grad_norm": 1.016432945817497,
1519
+ "learning_rate": 5.843267812965783e-06,
1520
+ "loss": 1.2003,
1521
+ "step": 1075
1522
+ },
1523
+ {
1524
+ "epoch": 0.5039664022398507,
1525
+ "grad_norm": 1.0274596198864308,
1526
+ "learning_rate": 5.803087384044903e-06,
1527
+ "loss": 1.1848,
1528
+ "step": 1080
1529
+ },
1530
+ {
1531
+ "epoch": 0.5062995800279981,
1532
+ "grad_norm": 1.0466692891981038,
1533
+ "learning_rate": 5.7628536478964535e-06,
1534
+ "loss": 1.1996,
1535
+ "step": 1085
1536
+ },
1537
+ {
1538
+ "epoch": 0.5086327578161456,
1539
+ "grad_norm": 1.0492908600438546,
1540
+ "learning_rate": 5.722569275150019e-06,
1541
+ "loss": 1.1687,
1542
+ "step": 1090
1543
+ },
1544
+ {
1545
+ "epoch": 0.510965935604293,
1546
+ "grad_norm": 1.0525465489835544,
1547
+ "learning_rate": 5.682236939796337e-06,
1548
+ "loss": 1.188,
1549
+ "step": 1095
1550
+ },
1551
+ {
1552
+ "epoch": 0.5132991133924405,
1553
+ "grad_norm": 1.0772606646287202,
1554
+ "learning_rate": 5.6418593190098015e-06,
1555
+ "loss": 1.1919,
1556
+ "step": 1100
1557
+ },
1558
+ {
1559
+ "epoch": 0.515632291180588,
1560
+ "grad_norm": 1.0262934950657279,
1561
+ "learning_rate": 5.601439092970751e-06,
1562
+ "loss": 1.1974,
1563
+ "step": 1105
1564
+ },
1565
+ {
1566
+ "epoch": 0.5179654689687354,
1567
+ "grad_norm": 0.9882060325666545,
1568
+ "learning_rate": 5.560978944687577e-06,
1569
+ "loss": 1.178,
1570
+ "step": 1110
1571
+ },
1572
+ {
1573
+ "epoch": 0.5202986467568829,
1574
+ "grad_norm": 1.091230449252659,
1575
+ "learning_rate": 5.52048155981862e-06,
1576
+ "loss": 1.1781,
1577
+ "step": 1115
1578
+ },
1579
+ {
1580
+ "epoch": 0.5226318245450303,
1581
+ "grad_norm": 1.0720517862549939,
1582
+ "learning_rate": 5.4799496264939075e-06,
1583
+ "loss": 1.2012,
1584
+ "step": 1120
1585
+ },
1586
+ {
1587
+ "epoch": 0.5249650023331778,
1588
+ "grad_norm": 1.0360319501350228,
1589
+ "learning_rate": 5.43938583513672e-06,
1590
+ "loss": 1.1781,
1591
+ "step": 1125
1592
+ },
1593
+ {
1594
+ "epoch": 0.5272981801213252,
1595
+ "grad_norm": 1.0608281252879077,
1596
+ "learning_rate": 5.398792878285003e-06,
1597
+ "loss": 1.1936,
1598
+ "step": 1130
1599
+ },
1600
+ {
1601
+ "epoch": 0.5296313579094727,
1602
+ "grad_norm": 1.0178618190287725,
1603
+ "learning_rate": 5.358173450412649e-06,
1604
+ "loss": 1.1705,
1605
+ "step": 1135
1606
+ },
1607
+ {
1608
+ "epoch": 0.5319645356976201,
1609
+ "grad_norm": 1.0410116914098466,
1610
+ "learning_rate": 5.317530247750639e-06,
1611
+ "loss": 1.1886,
1612
+ "step": 1140
1613
+ },
1614
+ {
1615
+ "epoch": 0.5342977134857676,
1616
+ "grad_norm": 1.001349734951812,
1617
+ "learning_rate": 5.276865968108075e-06,
1618
+ "loss": 1.1691,
1619
+ "step": 1145
1620
+ },
1621
+ {
1622
+ "epoch": 0.5366308912739151,
1623
+ "grad_norm": 1.0165757948985048,
1624
+ "learning_rate": 5.2361833106931006e-06,
1625
+ "loss": 1.1818,
1626
+ "step": 1150
1627
+ },
1628
+ {
1629
+ "epoch": 0.5389640690620625,
1630
+ "grad_norm": 1.0243614948148276,
1631
+ "learning_rate": 5.195484975933741e-06,
1632
+ "loss": 1.1804,
1633
+ "step": 1155
1634
+ },
1635
+ {
1636
+ "epoch": 0.54129724685021,
1637
+ "grad_norm": 1.0155665041576496,
1638
+ "learning_rate": 5.1547736652986476e-06,
1639
+ "loss": 1.1835,
1640
+ "step": 1160
1641
+ },
1642
+ {
1643
+ "epoch": 0.5436304246383574,
1644
+ "grad_norm": 3.5489961672985837,
1645
+ "learning_rate": 5.114052081117782e-06,
1646
+ "loss": 1.1865,
1647
+ "step": 1165
1648
+ },
1649
+ {
1650
+ "epoch": 0.5459636024265049,
1651
+ "grad_norm": 1.072922376002081,
1652
+ "learning_rate": 5.073322926403046e-06,
1653
+ "loss": 1.1863,
1654
+ "step": 1170
1655
+ },
1656
+ {
1657
+ "epoch": 0.5482967802146523,
1658
+ "grad_norm": 1.0757002599320986,
1659
+ "learning_rate": 5.032588904668851e-06,
1660
+ "loss": 1.192,
1661
+ "step": 1175
1662
+ },
1663
+ {
1664
+ "epoch": 0.5506299580027998,
1665
+ "grad_norm": 1.052150214959031,
1666
+ "learning_rate": 4.991852719752678e-06,
1667
+ "loss": 1.1794,
1668
+ "step": 1180
1669
+ },
1670
+ {
1671
+ "epoch": 0.5529631357909472,
1672
+ "grad_norm": 0.9792604457009882,
1673
+ "learning_rate": 4.951117075635589e-06,
1674
+ "loss": 1.1652,
1675
+ "step": 1185
1676
+ },
1677
+ {
1678
+ "epoch": 0.5552963135790947,
1679
+ "grad_norm": 1.029786781573815,
1680
+ "learning_rate": 4.9103846762627525e-06,
1681
+ "loss": 1.1928,
1682
+ "step": 1190
1683
+ },
1684
+ {
1685
+ "epoch": 0.5576294913672422,
1686
+ "grad_norm": 1.0817411344510528,
1687
+ "learning_rate": 4.869658225363957e-06,
1688
+ "loss": 1.1754,
1689
+ "step": 1195
1690
+ },
1691
+ {
1692
+ "epoch": 0.5599626691553896,
1693
+ "grad_norm": 1.053945287751612,
1694
+ "learning_rate": 4.828940426274143e-06,
1695
+ "loss": 1.1822,
1696
+ "step": 1200
1697
+ },
1698
+ {
1699
+ "epoch": 0.5622958469435371,
1700
+ "grad_norm": 1.0192353718407916,
1701
+ "learning_rate": 4.788233981753963e-06,
1702
+ "loss": 1.1951,
1703
+ "step": 1205
1704
+ },
1705
+ {
1706
+ "epoch": 0.5646290247316845,
1707
+ "grad_norm": 1.0394836583943379,
1708
+ "learning_rate": 4.747541593810378e-06,
1709
+ "loss": 1.166,
1710
+ "step": 1210
1711
+ },
1712
+ {
1713
+ "epoch": 0.566962202519832,
1714
+ "grad_norm": 1.0389217017606585,
1715
+ "learning_rate": 4.7068659635173034e-06,
1716
+ "loss": 1.1996,
1717
+ "step": 1215
1718
+ },
1719
+ {
1720
+ "epoch": 0.5692953803079794,
1721
+ "grad_norm": 0.9924671865453442,
1722
+ "learning_rate": 4.666209790836317e-06,
1723
+ "loss": 1.1817,
1724
+ "step": 1220
1725
+ },
1726
+ {
1727
+ "epoch": 0.5716285580961269,
1728
+ "grad_norm": 1.0453993868221274,
1729
+ "learning_rate": 4.6255757744374415e-06,
1730
+ "loss": 1.1521,
1731
+ "step": 1225
1732
+ },
1733
+ {
1734
+ "epoch": 0.5739617358842743,
1735
+ "grad_norm": 0.9914403625368045,
1736
+ "learning_rate": 4.584966611520015e-06,
1737
+ "loss": 1.182,
1738
+ "step": 1230
1739
+ },
1740
+ {
1741
+ "epoch": 0.5762949136724218,
1742
+ "grad_norm": 1.0158066663315228,
1743
+ "learning_rate": 4.54438499763365e-06,
1744
+ "loss": 1.175,
1745
+ "step": 1235
1746
+ },
1747
+ {
1748
+ "epoch": 0.5786280914605693,
1749
+ "grad_norm": 0.995287982999789,
1750
+ "learning_rate": 4.503833626499318e-06,
1751
+ "loss": 1.1739,
1752
+ "step": 1240
1753
+ },
1754
+ {
1755
+ "epoch": 0.5809612692487167,
1756
+ "grad_norm": 4.524070869987053,
1757
+ "learning_rate": 4.463315189830538e-06,
1758
+ "loss": 1.1867,
1759
+ "step": 1245
1760
+ },
1761
+ {
1762
+ "epoch": 0.5832944470368642,
1763
+ "grad_norm": 1.2218885713123742,
1764
+ "learning_rate": 4.422832377154711e-06,
1765
+ "loss": 1.1849,
1766
+ "step": 1250
1767
+ },
1768
+ {
1769
+ "epoch": 0.5856276248250116,
1770
+ "grad_norm": 5.8430320880046125,
1771
+ "learning_rate": 4.382387875634592e-06,
1772
+ "loss": 1.1845,
1773
+ "step": 1255
1774
+ },
1775
+ {
1776
+ "epoch": 0.5879608026131591,
1777
+ "grad_norm": 0.9787534737025482,
1778
+ "learning_rate": 4.341984369889924e-06,
1779
+ "loss": 1.1864,
1780
+ "step": 1260
1781
+ },
1782
+ {
1783
+ "epoch": 0.5902939804013065,
1784
+ "grad_norm": 1.0209274044087666,
1785
+ "learning_rate": 4.301624541819238e-06,
1786
+ "loss": 1.1912,
1787
+ "step": 1265
1788
+ },
1789
+ {
1790
+ "epoch": 0.592627158189454,
1791
+ "grad_norm": 1.010815006280802,
1792
+ "learning_rate": 4.261311070421834e-06,
1793
+ "loss": 1.1754,
1794
+ "step": 1270
1795
+ },
1796
+ {
1797
+ "epoch": 0.5949603359776015,
1798
+ "grad_norm": 0.999697309191565,
1799
+ "learning_rate": 4.221046631619956e-06,
1800
+ "loss": 1.1854,
1801
+ "step": 1275
1802
+ },
1803
+ {
1804
+ "epoch": 0.5972935137657489,
1805
+ "grad_norm": 1.0078708746467304,
1806
+ "learning_rate": 4.180833898081167e-06,
1807
+ "loss": 1.1794,
1808
+ "step": 1280
1809
+ },
1810
+ {
1811
+ "epoch": 0.5996266915538964,
1812
+ "grad_norm": 1.0344224025938935,
1813
+ "learning_rate": 4.140675539040945e-06,
1814
+ "loss": 1.1768,
1815
+ "step": 1285
1816
+ },
1817
+ {
1818
+ "epoch": 0.6019598693420438,
1819
+ "grad_norm": 1.0205495767156563,
1820
+ "learning_rate": 4.100574220125507e-06,
1821
+ "loss": 1.1998,
1822
+ "step": 1290
1823
+ },
1824
+ {
1825
+ "epoch": 0.6042930471301913,
1826
+ "grad_norm": 1.0190563305814853,
1827
+ "learning_rate": 4.060532603174865e-06,
1828
+ "loss": 1.1763,
1829
+ "step": 1295
1830
+ },
1831
+ {
1832
+ "epoch": 0.6066262249183387,
1833
+ "grad_norm": 0.9863626578246152,
1834
+ "learning_rate": 4.020553346066145e-06,
1835
+ "loss": 1.1757,
1836
+ "step": 1300
1837
+ },
1838
+ {
1839
+ "epoch": 0.6089594027064862,
1840
+ "grad_norm": 1.0418605510739205,
1841
+ "learning_rate": 3.980639102537156e-06,
1842
+ "loss": 1.1845,
1843
+ "step": 1305
1844
+ },
1845
+ {
1846
+ "epoch": 0.6112925804946336,
1847
+ "grad_norm": 1.0007447729446544,
1848
+ "learning_rate": 3.94079252201025e-06,
1849
+ "loss": 1.1632,
1850
+ "step": 1310
1851
+ },
1852
+ {
1853
+ "epoch": 0.6136257582827811,
1854
+ "grad_norm": 1.0189409387487824,
1855
+ "learning_rate": 3.9010162494164475e-06,
1856
+ "loss": 1.1815,
1857
+ "step": 1315
1858
+ },
1859
+ {
1860
+ "epoch": 0.6159589360709286,
1861
+ "grad_norm": 1.0678347017077865,
1862
+ "learning_rate": 3.861312925019881e-06,
1863
+ "loss": 1.1741,
1864
+ "step": 1320
1865
+ },
1866
+ {
1867
+ "epoch": 0.618292113859076,
1868
+ "grad_norm": 1.023653450517148,
1869
+ "learning_rate": 3.821685184242536e-06,
1870
+ "loss": 1.1772,
1871
+ "step": 1325
1872
+ },
1873
+ {
1874
+ "epoch": 0.6206252916472235,
1875
+ "grad_norm": 1.0077779192122773,
1876
+ "learning_rate": 3.782135657489321e-06,
1877
+ "loss": 1.1894,
1878
+ "step": 1330
1879
+ },
1880
+ {
1881
+ "epoch": 0.6229584694353709,
1882
+ "grad_norm": 1.012837709347067,
1883
+ "learning_rate": 3.742666969973463e-06,
1884
+ "loss": 1.1662,
1885
+ "step": 1335
1886
+ },
1887
+ {
1888
+ "epoch": 0.6252916472235185,
1889
+ "grad_norm": 1.0245464657464427,
1890
+ "learning_rate": 3.703281741542252e-06,
1891
+ "loss": 1.1625,
1892
+ "step": 1340
1893
+ },
1894
+ {
1895
+ "epoch": 0.6276248250116659,
1896
+ "grad_norm": 1.0253512043230175,
1897
+ "learning_rate": 3.663982586503143e-06,
1898
+ "loss": 1.1636,
1899
+ "step": 1345
1900
+ },
1901
+ {
1902
+ "epoch": 0.6299580027998134,
1903
+ "grad_norm": 1.0666491380450174,
1904
+ "learning_rate": 3.6247721134502234e-06,
1905
+ "loss": 1.1811,
1906
+ "step": 1350
1907
+ },
1908
+ {
1909
+ "epoch": 0.6322911805879609,
1910
+ "grad_norm": 1.0172119940529185,
1911
+ "learning_rate": 3.5856529250910565e-06,
1912
+ "loss": 1.1771,
1913
+ "step": 1355
1914
+ },
1915
+ {
1916
+ "epoch": 0.6346243583761083,
1917
+ "grad_norm": 0.9785985628256346,
1918
+ "learning_rate": 3.5466276180739266e-06,
1919
+ "loss": 1.192,
1920
+ "step": 1360
1921
+ },
1922
+ {
1923
+ "epoch": 0.6369575361642558,
1924
+ "grad_norm": 1.051013550076441,
1925
+ "learning_rate": 3.507698782815472e-06,
1926
+ "loss": 1.1865,
1927
+ "step": 1365
1928
+ },
1929
+ {
1930
+ "epoch": 0.6392907139524032,
1931
+ "grad_norm": 1.8737444993472034,
1932
+ "learning_rate": 3.468869003328742e-06,
1933
+ "loss": 1.1748,
1934
+ "step": 1370
1935
+ },
1936
+ {
1937
+ "epoch": 0.6416238917405507,
1938
+ "grad_norm": 1.0228057469556182,
1939
+ "learning_rate": 3.430140857051675e-06,
1940
+ "loss": 1.1832,
1941
+ "step": 1375
1942
+ },
1943
+ {
1944
+ "epoch": 0.6439570695286981,
1945
+ "grad_norm": 1.007877431639191,
1946
+ "learning_rate": 3.3915169146760142e-06,
1947
+ "loss": 1.1733,
1948
+ "step": 1380
1949
+ },
1950
+ {
1951
+ "epoch": 0.6462902473168456,
1952
+ "grad_norm": 1.0941054982268608,
1953
+ "learning_rate": 3.352999739976669e-06,
1954
+ "loss": 1.1687,
1955
+ "step": 1385
1956
+ },
1957
+ {
1958
+ "epoch": 0.648623425104993,
1959
+ "grad_norm": 1.0342658633630413,
1960
+ "learning_rate": 3.3145918896415395e-06,
1961
+ "loss": 1.1712,
1962
+ "step": 1390
1963
+ },
1964
+ {
1965
+ "epoch": 0.6509566028931405,
1966
+ "grad_norm": 1.025916026681626,
1967
+ "learning_rate": 3.276295913101808e-06,
1968
+ "loss": 1.1737,
1969
+ "step": 1395
1970
+ },
1971
+ {
1972
+ "epoch": 0.653289780681288,
1973
+ "grad_norm": 1.0182487186812592,
1974
+ "learning_rate": 3.2381143523627113e-06,
1975
+ "loss": 1.1633,
1976
+ "step": 1400
1977
+ },
1978
+ {
1979
+ "epoch": 0.6556229584694354,
1980
+ "grad_norm": 1.021349784405787,
1981
+ "learning_rate": 3.200049741834811e-06,
1982
+ "loss": 1.1892,
1983
+ "step": 1405
1984
+ },
1985
+ {
1986
+ "epoch": 0.6579561362575829,
1987
+ "grad_norm": 1.0140718526442885,
1988
+ "learning_rate": 3.16210460816576e-06,
1989
+ "loss": 1.1657,
1990
+ "step": 1410
1991
+ },
1992
+ {
1993
+ "epoch": 0.6602893140457303,
1994
+ "grad_norm": 1.041699791176852,
1995
+ "learning_rate": 3.1242814700725977e-06,
1996
+ "loss": 1.1744,
1997
+ "step": 1415
1998
+ },
1999
+ {
2000
+ "epoch": 0.6626224918338778,
2001
+ "grad_norm": 1.0427445022423676,
2002
+ "learning_rate": 3.0865828381745515e-06,
2003
+ "loss": 1.1779,
2004
+ "step": 1420
2005
+ },
2006
+ {
2007
+ "epoch": 0.6649556696220252,
2008
+ "grad_norm": 0.9640107625514102,
2009
+ "learning_rate": 3.0490112148263973e-06,
2010
+ "loss": 1.157,
2011
+ "step": 1425
2012
+ },
2013
+ {
2014
+ "epoch": 0.6672888474101727,
2015
+ "grad_norm": 1.0334095168392121,
2016
+ "learning_rate": 3.011569093952352e-06,
2017
+ "loss": 1.1758,
2018
+ "step": 1430
2019
+ },
2020
+ {
2021
+ "epoch": 0.6696220251983201,
2022
+ "grad_norm": 1.0183642848591992,
2023
+ "learning_rate": 2.974258960880535e-06,
2024
+ "loss": 1.1589,
2025
+ "step": 1435
2026
+ },
2027
+ {
2028
+ "epoch": 0.6719552029864676,
2029
+ "grad_norm": 1.0119473556723952,
2030
+ "learning_rate": 2.9370832921779986e-06,
2031
+ "loss": 1.1639,
2032
+ "step": 1440
2033
+ },
2034
+ {
2035
+ "epoch": 0.6742883807746151,
2036
+ "grad_norm": 1.0371459621618861,
2037
+ "learning_rate": 2.9000445554863355e-06,
2038
+ "loss": 1.165,
2039
+ "step": 1445
2040
+ },
2041
+ {
2042
+ "epoch": 0.6766215585627625,
2043
+ "grad_norm": 1.04529673821227,
2044
+ "learning_rate": 2.8631452093578817e-06,
2045
+ "loss": 1.169,
2046
+ "step": 1450
2047
+ },
2048
+ {
2049
+ "epoch": 0.67895473635091,
2050
+ "grad_norm": 1.0106613305134293,
2051
+ "learning_rate": 2.826387703092528e-06,
2052
+ "loss": 1.1584,
2053
+ "step": 1455
2054
+ },
2055
+ {
2056
+ "epoch": 0.6812879141390574,
2057
+ "grad_norm": 1.0113769481277664,
2058
+ "learning_rate": 2.7897744765751376e-06,
2059
+ "loss": 1.1818,
2060
+ "step": 1460
2061
+ },
2062
+ {
2063
+ "epoch": 0.6836210919272049,
2064
+ "grad_norm": 1.0410617373961402,
2065
+ "learning_rate": 2.753307960113593e-06,
2066
+ "loss": 1.1859,
2067
+ "step": 1465
2068
+ },
2069
+ {
2070
+ "epoch": 0.6859542697153523,
2071
+ "grad_norm": 0.9922290642664283,
2072
+ "learning_rate": 2.7169905742774692e-06,
2073
+ "loss": 1.1654,
2074
+ "step": 1470
2075
+ },
2076
+ {
2077
+ "epoch": 0.6882874475034998,
2078
+ "grad_norm": 0.9854965604430632,
2079
+ "learning_rate": 2.680824729737378e-06,
2080
+ "loss": 1.1599,
2081
+ "step": 1475
2082
+ },
2083
+ {
2084
+ "epoch": 0.6906206252916472,
2085
+ "grad_norm": 0.9743286263890597,
2086
+ "learning_rate": 2.6448128271049335e-06,
2087
+ "loss": 1.1694,
2088
+ "step": 1480
2089
+ },
2090
+ {
2091
+ "epoch": 0.6929538030797947,
2092
+ "grad_norm": 16.6481135030239,
2093
+ "learning_rate": 2.608957256773424e-06,
2094
+ "loss": 1.1748,
2095
+ "step": 1485
2096
+ },
2097
+ {
2098
+ "epoch": 0.6952869808679422,
2099
+ "grad_norm": 1.0101412182159915,
2100
+ "learning_rate": 2.5732603987591254e-06,
2101
+ "loss": 1.1512,
2102
+ "step": 1490
2103
+ },
2104
+ {
2105
+ "epoch": 0.6976201586560896,
2106
+ "grad_norm": 1.0080746469827888,
2107
+ "learning_rate": 2.5377246225433306e-06,
2108
+ "loss": 1.1706,
2109
+ "step": 1495
2110
+ },
2111
+ {
2112
+ "epoch": 0.6999533364442371,
2113
+ "grad_norm": 1.0163159887181514,
2114
+ "learning_rate": 2.5023522869150708e-06,
2115
+ "loss": 1.1731,
2116
+ "step": 1500
2117
+ },
2118
+ {
2119
+ "epoch": 0.7022865142323845,
2120
+ "grad_norm": 1.0291675596418361,
2121
+ "learning_rate": 2.4671457398145315e-06,
2122
+ "loss": 1.1803,
2123
+ "step": 1505
2124
+ },
2125
+ {
2126
+ "epoch": 0.704619692020532,
2127
+ "grad_norm": 1.0014228929233164,
2128
+ "learning_rate": 2.4321073181772176e-06,
2129
+ "loss": 1.1614,
2130
+ "step": 1510
2131
+ },
2132
+ {
2133
+ "epoch": 0.7069528698086794,
2134
+ "grad_norm": 0.9947617503534548,
2135
+ "learning_rate": 2.3972393477788157e-06,
2136
+ "loss": 1.1689,
2137
+ "step": 1515
2138
+ },
2139
+ {
2140
+ "epoch": 0.7092860475968269,
2141
+ "grad_norm": 1.0104502129791082,
2142
+ "learning_rate": 2.362544143080835e-06,
2143
+ "loss": 1.1574,
2144
+ "step": 1520
2145
+ },
2146
+ {
2147
+ "epoch": 0.7116192253849744,
2148
+ "grad_norm": 1.0120328767933888,
2149
+ "learning_rate": 2.328024007076952e-06,
2150
+ "loss": 1.1697,
2151
+ "step": 1525
2152
+ },
2153
+ {
2154
+ "epoch": 0.7139524031731218,
2155
+ "grad_norm": 1.0052997117469944,
2156
+ "learning_rate": 2.2936812311401687e-06,
2157
+ "loss": 1.1815,
2158
+ "step": 1530
2159
+ },
2160
+ {
2161
+ "epoch": 0.7162855809612693,
2162
+ "grad_norm": 1.0043182668642912,
2163
+ "learning_rate": 2.259518094870693e-06,
2164
+ "loss": 1.1759,
2165
+ "step": 1535
2166
+ },
2167
+ {
2168
+ "epoch": 0.7186187587494167,
2169
+ "grad_norm": 0.9945694347808323,
2170
+ "learning_rate": 2.225536865944646e-06,
2171
+ "loss": 1.1667,
2172
+ "step": 1540
2173
+ },
2174
+ {
2175
+ "epoch": 0.7209519365375642,
2176
+ "grad_norm": 1.0242529787658874,
2177
+ "learning_rate": 2.191739799963518e-06,
2178
+ "loss": 1.1628,
2179
+ "step": 1545
2180
+ },
2181
+ {
2182
+ "epoch": 0.7232851143257116,
2183
+ "grad_norm": 1.0314454474479464,
2184
+ "learning_rate": 2.1581291403044634e-06,
2185
+ "loss": 1.1664,
2186
+ "step": 1550
2187
+ },
2188
+ {
2189
+ "epoch": 0.7256182921138591,
2190
+ "grad_norm": 1.0626629907867327,
2191
+ "learning_rate": 2.1247071179713774e-06,
2192
+ "loss": 1.1559,
2193
+ "step": 1555
2194
+ },
2195
+ {
2196
+ "epoch": 0.7279514699020065,
2197
+ "grad_norm": 1.0368896856506735,
2198
+ "learning_rate": 2.0914759514468106e-06,
2199
+ "loss": 1.154,
2200
+ "step": 1560
2201
+ },
2202
+ {
2203
+ "epoch": 0.730284647690154,
2204
+ "grad_norm": 0.9698442188484383,
2205
+ "learning_rate": 2.0584378465447196e-06,
2206
+ "loss": 1.1733,
2207
+ "step": 1565
2208
+ },
2209
+ {
2210
+ "epoch": 0.7326178254783015,
2211
+ "grad_norm": 1.0155332076663621,
2212
+ "learning_rate": 2.0255949962640335e-06,
2213
+ "loss": 1.1835,
2214
+ "step": 1570
2215
+ },
2216
+ {
2217
+ "epoch": 0.7349510032664489,
2218
+ "grad_norm": 1.005548586828338,
2219
+ "learning_rate": 1.9929495806431024e-06,
2220
+ "loss": 1.1618,
2221
+ "step": 1575
2222
+ },
2223
+ {
2224
+ "epoch": 0.7372841810545964,
2225
+ "grad_norm": 0.9954603864820935,
2226
+ "learning_rate": 1.9605037666149836e-06,
2227
+ "loss": 1.1581,
2228
+ "step": 1580
2229
+ },
2230
+ {
2231
+ "epoch": 0.7396173588427438,
2232
+ "grad_norm": 0.9913998993751404,
2233
+ "learning_rate": 1.928259707863605e-06,
2234
+ "loss": 1.1623,
2235
+ "step": 1585
2236
+ },
2237
+ {
2238
+ "epoch": 0.7419505366308913,
2239
+ "grad_norm": 0.9361603703191916,
2240
+ "learning_rate": 1.8962195446808086e-06,
2241
+ "loss": 1.1518,
2242
+ "step": 1590
2243
+ },
2244
+ {
2245
+ "epoch": 0.7442837144190387,
2246
+ "grad_norm": 1.0014693385898898,
2247
+ "learning_rate": 1.864385403824287e-06,
2248
+ "loss": 1.1728,
2249
+ "step": 1595
2250
+ },
2251
+ {
2252
+ "epoch": 0.7466168922071862,
2253
+ "grad_norm": 1.0210675029402585,
2254
+ "learning_rate": 1.8327593983764057e-06,
2255
+ "loss": 1.1556,
2256
+ "step": 1600
2257
+ },
2258
+ {
2259
+ "epoch": 0.7489500699953336,
2260
+ "grad_norm": 1.0120342541176695,
2261
+ "learning_rate": 1.8013436276039514e-06,
2262
+ "loss": 1.161,
2263
+ "step": 1605
2264
+ },
2265
+ {
2266
+ "epoch": 0.7512832477834811,
2267
+ "grad_norm": 0.9937379195757003,
2268
+ "learning_rate": 1.7701401768187743e-06,
2269
+ "loss": 1.1467,
2270
+ "step": 1610
2271
+ },
2272
+ {
2273
+ "epoch": 0.7536164255716286,
2274
+ "grad_norm": 1.0709112087231152,
2275
+ "learning_rate": 1.7391511172393849e-06,
2276
+ "loss": 1.1563,
2277
+ "step": 1615
2278
+ },
2279
+ {
2280
+ "epoch": 0.755949603359776,
2281
+ "grad_norm": 1.9013001176682678,
2282
+ "learning_rate": 1.708378505853457e-06,
2283
+ "loss": 1.1619,
2284
+ "step": 1620
2285
+ },
2286
+ {
2287
+ "epoch": 0.7582827811479235,
2288
+ "grad_norm": 0.9717127760277121,
2289
+ "learning_rate": 1.6778243852812936e-06,
2290
+ "loss": 1.1714,
2291
+ "step": 1625
2292
+ },
2293
+ {
2294
+ "epoch": 0.7606159589360709,
2295
+ "grad_norm": 0.993395064380433,
2296
+ "learning_rate": 1.6474907836402508e-06,
2297
+ "loss": 1.151,
2298
+ "step": 1630
2299
+ },
2300
+ {
2301
+ "epoch": 0.7629491367242184,
2302
+ "grad_norm": 1.044875343861766,
2303
+ "learning_rate": 1.617379714410099e-06,
2304
+ "loss": 1.1765,
2305
+ "step": 1635
2306
+ },
2307
+ {
2308
+ "epoch": 0.7652823145123658,
2309
+ "grad_norm": 0.9890249688622542,
2310
+ "learning_rate": 1.5874931762993934e-06,
2311
+ "loss": 1.1594,
2312
+ "step": 1640
2313
+ },
2314
+ {
2315
+ "epoch": 0.7676154923005133,
2316
+ "grad_norm": 1.032867531902376,
2317
+ "learning_rate": 1.557833153112781e-06,
2318
+ "loss": 1.1618,
2319
+ "step": 1645
2320
+ },
2321
+ {
2322
+ "epoch": 0.7699486700886607,
2323
+ "grad_norm": 1.022368485837898,
2324
+ "learning_rate": 1.5284016136193398e-06,
2325
+ "loss": 1.1515,
2326
+ "step": 1650
2327
+ },
2328
+ {
2329
+ "epoch": 0.7722818478768082,
2330
+ "grad_norm": 0.9890950564022281,
2331
+ "learning_rate": 1.4992005114218805e-06,
2332
+ "loss": 1.1599,
2333
+ "step": 1655
2334
+ },
2335
+ {
2336
+ "epoch": 0.7746150256649557,
2337
+ "grad_norm": 0.9854856037226626,
2338
+ "learning_rate": 1.470231784827284e-06,
2339
+ "loss": 1.1649,
2340
+ "step": 1660
2341
+ },
2342
+ {
2343
+ "epoch": 0.7769482034531031,
2344
+ "grad_norm": 0.9729215886975489,
2345
+ "learning_rate": 1.4414973567178291e-06,
2346
+ "loss": 1.1618,
2347
+ "step": 1665
2348
+ },
2349
+ {
2350
+ "epoch": 0.7792813812412506,
2351
+ "grad_norm": 1.0026486142505144,
2352
+ "learning_rate": 1.4129991344235655e-06,
2353
+ "loss": 1.1473,
2354
+ "step": 1670
2355
+ },
2356
+ {
2357
+ "epoch": 0.781614559029398,
2358
+ "grad_norm": 1.0366250861374733,
2359
+ "learning_rate": 1.3847390095957003e-06,
2360
+ "loss": 1.1569,
2361
+ "step": 1675
2362
+ },
2363
+ {
2364
+ "epoch": 0.7839477368175455,
2365
+ "grad_norm": 0.9938986816098982,
2366
+ "learning_rate": 1.3567188580810436e-06,
2367
+ "loss": 1.1536,
2368
+ "step": 1680
2369
+ },
2370
+ {
2371
+ "epoch": 0.7862809146056929,
2372
+ "grad_norm": 1.0219505206702795,
2373
+ "learning_rate": 1.3289405397974842e-06,
2374
+ "loss": 1.1758,
2375
+ "step": 1685
2376
+ },
2377
+ {
2378
+ "epoch": 0.7886140923938404,
2379
+ "grad_norm": 0.9890034372786042,
2380
+ "learning_rate": 1.3014058986105377e-06,
2381
+ "loss": 1.1544,
2382
+ "step": 1690
2383
+ },
2384
+ {
2385
+ "epoch": 0.7909472701819878,
2386
+ "grad_norm": 1.0051626263000517,
2387
+ "learning_rate": 1.2741167622109557e-06,
2388
+ "loss": 1.1587,
2389
+ "step": 1695
2390
+ },
2391
+ {
2392
+ "epoch": 0.7932804479701353,
2393
+ "grad_norm": 0.9785431846862271,
2394
+ "learning_rate": 1.2470749419934059e-06,
2395
+ "loss": 1.1695,
2396
+ "step": 1700
2397
+ },
2398
+ {
2399
+ "epoch": 0.7956136257582828,
2400
+ "grad_norm": 1.0113931313333073,
2401
+ "learning_rate": 1.2202822329362345e-06,
2402
+ "loss": 1.1687,
2403
+ "step": 1705
2404
+ },
2405
+ {
2406
+ "epoch": 0.7979468035464302,
2407
+ "grad_norm": 0.9842370692313657,
2408
+ "learning_rate": 1.1937404134823178e-06,
2409
+ "loss": 1.1615,
2410
+ "step": 1710
2411
+ },
2412
+ {
2413
+ "epoch": 0.8002799813345777,
2414
+ "grad_norm": 1.0032465562671002,
2415
+ "learning_rate": 1.1674512454210202e-06,
2416
+ "loss": 1.1638,
2417
+ "step": 1715
2418
+ },
2419
+ {
2420
+ "epoch": 0.8026131591227251,
2421
+ "grad_norm": 0.9750019313206011,
2422
+ "learning_rate": 1.1414164737712402e-06,
2423
+ "loss": 1.1327,
2424
+ "step": 1720
2425
+ },
2426
+ {
2427
+ "epoch": 0.8049463369108726,
2428
+ "grad_norm": 0.9944410520677437,
2429
+ "learning_rate": 1.1156378266655904e-06,
2430
+ "loss": 1.1598,
2431
+ "step": 1725
2432
+ },
2433
+ {
2434
+ "epoch": 0.80727951469902,
2435
+ "grad_norm": 0.956147368891967,
2436
+ "learning_rate": 1.0901170152356778e-06,
2437
+ "loss": 1.153,
2438
+ "step": 1730
2439
+ },
2440
+ {
2441
+ "epoch": 0.8096126924871675,
2442
+ "grad_norm": 1.009266943435006,
2443
+ "learning_rate": 1.064855733498531e-06,
2444
+ "loss": 1.1605,
2445
+ "step": 1735
2446
+ },
2447
+ {
2448
+ "epoch": 0.811945870275315,
2449
+ "grad_norm": 0.9858125902435397,
2450
+ "learning_rate": 1.0398556582441482e-06,
2451
+ "loss": 1.1291,
2452
+ "step": 1740
2453
+ },
2454
+ {
2455
+ "epoch": 0.8142790480634624,
2456
+ "grad_norm": 1.0068331019756107,
2457
+ "learning_rate": 1.015118448924201e-06,
2458
+ "loss": 1.1779,
2459
+ "step": 1745
2460
+ },
2461
+ {
2462
+ "epoch": 0.8166122258516099,
2463
+ "grad_norm": 1.0270194084422106,
2464
+ "learning_rate": 9.90645747541878e-07,
2465
+ "loss": 1.1514,
2466
+ "step": 1750
2467
+ },
2468
+ {
2469
+ "epoch": 0.8189454036397573,
2470
+ "grad_norm": 0.9913211372941862,
2471
+ "learning_rate": 9.664391785428977e-07,
2472
+ "loss": 1.1726,
2473
+ "step": 1755
2474
+ },
2475
+ {
2476
+ "epoch": 0.8212785814279048,
2477
+ "grad_norm": 1.0058927499098955,
2478
+ "learning_rate": 9.42500348707679e-07,
2479
+ "loss": 1.1724,
2480
+ "step": 1760
2481
+ },
2482
+ {
2483
+ "epoch": 0.8236117592160522,
2484
+ "grad_norm": 1.0001313085991983,
2485
+ "learning_rate": 9.188308470446828e-07,
2486
+ "loss": 1.1401,
2487
+ "step": 1765
2488
+ },
2489
+ {
2490
+ "epoch": 0.8259449370041997,
2491
+ "grad_norm": 0.9846329030889268,
2492
+ "learning_rate": 8.954322446849445e-07,
2493
+ "loss": 1.1572,
2494
+ "step": 1770
2495
+ },
2496
+ {
2497
+ "epoch": 0.8282781147923471,
2498
+ "grad_norm": 1.0063720343872646,
2499
+ "learning_rate": 8.723060947777778e-07,
2500
+ "loss": 1.1711,
2501
+ "step": 1775
2502
+ },
2503
+ {
2504
+ "epoch": 0.8306112925804946,
2505
+ "grad_norm": 0.9951396903238764,
2506
+ "learning_rate": 8.494539323876871e-07,
2507
+ "loss": 1.1592,
2508
+ "step": 1780
2509
+ },
2510
+ {
2511
+ "epoch": 0.832944470368642,
2512
+ "grad_norm": 1.2632922939514373,
2513
+ "learning_rate": 8.268772743924669e-07,
2514
+ "loss": 1.1487,
2515
+ "step": 1785
2516
+ },
2517
+ {
2518
+ "epoch": 0.8352776481567895,
2519
+ "grad_norm": 0.9820295659793887,
2520
+ "learning_rate": 8.045776193825205e-07,
2521
+ "loss": 1.1695,
2522
+ "step": 1790
2523
+ },
2524
+ {
2525
+ "epoch": 0.837610825944937,
2526
+ "grad_norm": 1.0136705861025064,
2527
+ "learning_rate": 7.825564475613806e-07,
2528
+ "loss": 1.1749,
2529
+ "step": 1795
2530
+ },
2531
+ {
2532
+ "epoch": 0.8399440037330844,
2533
+ "grad_norm": 1.3190123794807675,
2534
+ "learning_rate": 7.60815220647464e-07,
2535
+ "loss": 1.1522,
2536
+ "step": 1800
2537
+ },
2538
+ {
2539
+ "epoch": 0.8422771815212319,
2540
+ "grad_norm": 1.0121978497804316,
2541
+ "learning_rate": 7.393553817770366e-07,
2542
+ "loss": 1.1548,
2543
+ "step": 1805
2544
+ },
2545
+ {
2546
+ "epoch": 0.8446103593093793,
2547
+ "grad_norm": 1.0081857177545837,
2548
+ "learning_rate": 7.181783554084309e-07,
2549
+ "loss": 1.1662,
2550
+ "step": 1810
2551
+ },
2552
+ {
2553
+ "epoch": 0.8469435370975268,
2554
+ "grad_norm": 0.9884812082696532,
2555
+ "learning_rate": 6.972855472274853e-07,
2556
+ "loss": 1.1586,
2557
+ "step": 1815
2558
+ },
2559
+ {
2560
+ "epoch": 0.8492767148856742,
2561
+ "grad_norm": 1.0596164266865373,
2562
+ "learning_rate": 6.766783440542435e-07,
2563
+ "loss": 1.1598,
2564
+ "step": 1820
2565
+ },
2566
+ {
2567
+ "epoch": 0.8516098926738217,
2568
+ "grad_norm": 0.9864623184262068,
2569
+ "learning_rate": 6.563581137508979e-07,
2570
+ "loss": 1.1618,
2571
+ "step": 1825
2572
+ },
2573
+ {
2574
+ "epoch": 0.8539430704619692,
2575
+ "grad_norm": 0.9841399159800569,
2576
+ "learning_rate": 6.363262051309909e-07,
2577
+ "loss": 1.166,
2578
+ "step": 1830
2579
+ },
2580
+ {
2581
+ "epoch": 0.8562762482501166,
2582
+ "grad_norm": 0.9995451256789106,
2583
+ "learning_rate": 6.165839478698909e-07,
2584
+ "loss": 1.1689,
2585
+ "step": 1835
2586
+ },
2587
+ {
2588
+ "epoch": 0.8586094260382641,
2589
+ "grad_norm": 1.0013682575089107,
2590
+ "learning_rate": 5.971326524165228e-07,
2591
+ "loss": 1.1751,
2592
+ "step": 1840
2593
+ },
2594
+ {
2595
+ "epoch": 0.8609426038264115,
2596
+ "grad_norm": 0.9830017970130511,
2597
+ "learning_rate": 5.77973609906391e-07,
2598
+ "loss": 1.1638,
2599
+ "step": 1845
2600
+ },
2601
+ {
2602
+ "epoch": 0.863275781614559,
2603
+ "grad_norm": 0.9981206625537882,
2604
+ "learning_rate": 5.591080920758696e-07,
2605
+ "loss": 1.1612,
2606
+ "step": 1850
2607
+ },
2608
+ {
2609
+ "epoch": 0.8656089594027064,
2610
+ "grad_norm": 0.9771135919710268,
2611
+ "learning_rate": 5.405373511777939e-07,
2612
+ "loss": 1.1532,
2613
+ "step": 1855
2614
+ },
2615
+ {
2616
+ "epoch": 0.8679421371908539,
2617
+ "grad_norm": 0.9699898660770429,
2618
+ "learning_rate": 5.222626198983311e-07,
2619
+ "loss": 1.1542,
2620
+ "step": 1860
2621
+ },
2622
+ {
2623
+ "epoch": 0.8702753149790013,
2624
+ "grad_norm": 0.9785528960722001,
2625
+ "learning_rate": 5.042851112751656e-07,
2626
+ "loss": 1.1421,
2627
+ "step": 1865
2628
+ },
2629
+ {
2630
+ "epoch": 0.8726084927671488,
2631
+ "grad_norm": 0.9982971422441073,
2632
+ "learning_rate": 4.86606018616973e-07,
2633
+ "loss": 1.1604,
2634
+ "step": 1870
2635
+ },
2636
+ {
2637
+ "epoch": 0.8749416705552963,
2638
+ "grad_norm": 0.9955398626550551,
2639
+ "learning_rate": 4.692265154242137e-07,
2640
+ "loss": 1.1564,
2641
+ "step": 1875
2642
+ },
2643
+ {
2644
+ "epoch": 0.8772748483434438,
2645
+ "grad_norm": 0.9961630302537697,
2646
+ "learning_rate": 4.521477553112419e-07,
2647
+ "loss": 1.1506,
2648
+ "step": 1880
2649
+ },
2650
+ {
2651
+ "epoch": 0.8796080261315913,
2652
+ "grad_norm": 1.9412087784453136,
2653
+ "learning_rate": 4.3537087192972226e-07,
2654
+ "loss": 1.1524,
2655
+ "step": 1885
2656
+ },
2657
+ {
2658
+ "epoch": 0.8819412039197387,
2659
+ "grad_norm": 0.9659131243497191,
2660
+ "learning_rate": 4.1889697889338997e-07,
2661
+ "loss": 1.1426,
2662
+ "step": 1890
2663
+ },
2664
+ {
2665
+ "epoch": 0.8842743817078862,
2666
+ "grad_norm": 1.0054794831414513,
2667
+ "learning_rate": 4.0272716970412516e-07,
2668
+ "loss": 1.1643,
2669
+ "step": 1895
2670
+ },
2671
+ {
2672
+ "epoch": 0.8866075594960336,
2673
+ "grad_norm": 2.2435692316015152,
2674
+ "learning_rate": 3.8686251767937335e-07,
2675
+ "loss": 1.1409,
2676
+ "step": 1900
2677
+ },
2678
+ {
2679
+ "epoch": 0.8889407372841811,
2680
+ "grad_norm": 0.975599574657007,
2681
+ "learning_rate": 3.713040758808945e-07,
2682
+ "loss": 1.1675,
2683
+ "step": 1905
2684
+ },
2685
+ {
2686
+ "epoch": 0.8912739150723286,
2687
+ "grad_norm": 1.0081779298483409,
2688
+ "learning_rate": 3.560528770448712e-07,
2689
+ "loss": 1.1706,
2690
+ "step": 1910
2691
+ },
2692
+ {
2693
+ "epoch": 0.893607092860476,
2694
+ "grad_norm": 1.0302265982184113,
2695
+ "learning_rate": 3.4110993351334944e-07,
2696
+ "loss": 1.1774,
2697
+ "step": 1915
2698
+ },
2699
+ {
2700
+ "epoch": 0.8959402706486235,
2701
+ "grad_norm": 1.0236714374782956,
2702
+ "learning_rate": 3.2647623716704935e-07,
2703
+ "loss": 1.1758,
2704
+ "step": 1920
2705
+ },
2706
+ {
2707
+ "epoch": 0.8982734484367709,
2708
+ "grad_norm": 1.002618038580871,
2709
+ "learning_rate": 3.1215275935951917e-07,
2710
+ "loss": 1.163,
2711
+ "step": 1925
2712
+ },
2713
+ {
2714
+ "epoch": 0.9006066262249184,
2715
+ "grad_norm": 0.9913857413056198,
2716
+ "learning_rate": 2.981404508526653e-07,
2717
+ "loss": 1.1557,
2718
+ "step": 1930
2719
+ },
2720
+ {
2721
+ "epoch": 0.9029398040130658,
2722
+ "grad_norm": 0.9804197100619393,
2723
+ "learning_rate": 2.844402417536374e-07,
2724
+ "loss": 1.1328,
2725
+ "step": 1935
2726
+ },
2727
+ {
2728
+ "epoch": 0.9052729818012133,
2729
+ "grad_norm": 0.979529365433251,
2730
+ "learning_rate": 2.7105304145309317e-07,
2731
+ "loss": 1.1588,
2732
+ "step": 1940
2733
+ },
2734
+ {
2735
+ "epoch": 0.9076061595893608,
2736
+ "grad_norm": 1.0031066535474602,
2737
+ "learning_rate": 2.5797973856483417e-07,
2738
+ "loss": 1.1741,
2739
+ "step": 1945
2740
+ },
2741
+ {
2742
+ "epoch": 0.9099393373775082,
2743
+ "grad_norm": 0.9598452778844618,
2744
+ "learning_rate": 2.452212008668198e-07,
2745
+ "loss": 1.1528,
2746
+ "step": 1950
2747
+ },
2748
+ {
2749
+ "epoch": 0.9122725151656557,
2750
+ "grad_norm": 0.9818674018055525,
2751
+ "learning_rate": 2.3277827524356976e-07,
2752
+ "loss": 1.1353,
2753
+ "step": 1955
2754
+ },
2755
+ {
2756
+ "epoch": 0.9146056929538031,
2757
+ "grad_norm": 0.9772553061089622,
2758
+ "learning_rate": 2.206517876299452e-07,
2759
+ "loss": 1.1353,
2760
+ "step": 1960
2761
+ },
2762
+ {
2763
+ "epoch": 0.9169388707419506,
2764
+ "grad_norm": 1.7683487182064883,
2765
+ "learning_rate": 2.0884254295632954e-07,
2766
+ "loss": 1.1695,
2767
+ "step": 1965
2768
+ },
2769
+ {
2770
+ "epoch": 0.919272048530098,
2771
+ "grad_norm": 0.9830006540104176,
2772
+ "learning_rate": 1.9735132509519305e-07,
2773
+ "loss": 1.1516,
2774
+ "step": 1970
2775
+ },
2776
+ {
2777
+ "epoch": 0.9216052263182455,
2778
+ "grad_norm": 0.9800427923143794,
2779
+ "learning_rate": 1.861788968090683e-07,
2780
+ "loss": 1.1425,
2781
+ "step": 1975
2782
+ },
2783
+ {
2784
+ "epoch": 0.9239384041063929,
2785
+ "grad_norm": 1.0365510364196127,
2786
+ "learning_rate": 1.7532599969991348e-07,
2787
+ "loss": 1.1598,
2788
+ "step": 1980
2789
+ },
2790
+ {
2791
+ "epoch": 0.9262715818945404,
2792
+ "grad_norm": 0.9919774295532647,
2793
+ "learning_rate": 1.6479335415989007e-07,
2794
+ "loss": 1.1543,
2795
+ "step": 1985
2796
+ },
2797
+ {
2798
+ "epoch": 0.9286047596826879,
2799
+ "grad_norm": 0.9766973093741765,
2800
+ "learning_rate": 1.5458165932354163e-07,
2801
+ "loss": 1.1647,
2802
+ "step": 1990
2803
+ },
2804
+ {
2805
+ "epoch": 0.9309379374708353,
2806
+ "grad_norm": 0.9868485378239865,
2807
+ "learning_rate": 1.4469159302139157e-07,
2808
+ "loss": 1.1417,
2809
+ "step": 1995
2810
+ },
2811
+ {
2812
+ "epoch": 0.9332711152589828,
2813
+ "grad_norm": 0.9855408237895734,
2814
+ "learning_rate": 1.351238117349446e-07,
2815
+ "loss": 1.1517,
2816
+ "step": 2000
2817
+ },
2818
+ {
2819
+ "epoch": 0.9356042930471302,
2820
+ "grad_norm": 1.3352309241558546,
2821
+ "learning_rate": 1.2587895055311494e-07,
2822
+ "loss": 1.1644,
2823
+ "step": 2005
2824
+ },
2825
+ {
2826
+ "epoch": 0.9379374708352777,
2827
+ "grad_norm": 0.9862069849547848,
2828
+ "learning_rate": 1.1695762313006842e-07,
2829
+ "loss": 1.1569,
2830
+ "step": 2010
2831
+ },
2832
+ {
2833
+ "epoch": 0.9402706486234251,
2834
+ "grad_norm": 1.2953103633672411,
2835
+ "learning_rate": 1.0836042164448945e-07,
2836
+ "loss": 1.1472,
2837
+ "step": 2015
2838
+ },
2839
+ {
2840
+ "epoch": 0.9426038264115726,
2841
+ "grad_norm": 0.9878175845860757,
2842
+ "learning_rate": 1.0008791676027641e-07,
2843
+ "loss": 1.1548,
2844
+ "step": 2020
2845
+ },
2846
+ {
2847
+ "epoch": 0.94493700419972,
2848
+ "grad_norm": 1.010885190462538,
2849
+ "learning_rate": 9.214065758865687e-08,
2850
+ "loss": 1.1691,
2851
+ "step": 2025
2852
+ },
2853
+ {
2854
+ "epoch": 0.9472701819878675,
2855
+ "grad_norm": 1.0064738316551112,
2856
+ "learning_rate": 8.451917165174406e-08,
2857
+ "loss": 1.1553,
2858
+ "step": 2030
2859
+ },
2860
+ {
2861
+ "epoch": 0.949603359776015,
2862
+ "grad_norm": 1.0133963030142776,
2863
+ "learning_rate": 7.722396484751705e-08,
2864
+ "loss": 1.1316,
2865
+ "step": 2035
2866
+ },
2867
+ {
2868
+ "epoch": 0.9519365375641624,
2869
+ "grad_norm": 0.9940590775854898,
2870
+ "learning_rate": 7.02555214162437e-08,
2871
+ "loss": 1.1627,
2872
+ "step": 2040
2873
+ },
2874
+ {
2875
+ "epoch": 0.9542697153523099,
2876
+ "grad_norm": 1.0167056416961604,
2877
+ "learning_rate": 6.361430390833479e-08,
2878
+ "loss": 1.168,
2879
+ "step": 2045
2880
+ },
2881
+ {
2882
+ "epoch": 0.9566028931404573,
2883
+ "grad_norm": 0.9836310384519065,
2884
+ "learning_rate": 5.7300753153643474e-08,
2885
+ "loss": 1.1598,
2886
+ "step": 2050
2887
+ },
2888
+ {
2889
+ "epoch": 0.9589360709286048,
2890
+ "grad_norm": 1.92459846263964,
2891
+ "learning_rate": 5.1315288232201e-08,
2892
+ "loss": 1.1521,
2893
+ "step": 2055
2894
+ },
2895
+ {
2896
+ "epoch": 0.9612692487167522,
2897
+ "grad_norm": 0.9796387717857206,
2898
+ "learning_rate": 4.5658306446402234e-08,
2899
+ "loss": 1.1525,
2900
+ "step": 2060
2901
+ },
2902
+ {
2903
+ "epoch": 0.9636024265048997,
2904
+ "grad_norm": 0.9845259162114289,
2905
+ "learning_rate": 4.033018329463289e-08,
2906
+ "loss": 1.1696,
2907
+ "step": 2065
2908
+ },
2909
+ {
2910
+ "epoch": 0.9659356042930471,
2911
+ "grad_norm": 0.9916548397519503,
2912
+ "learning_rate": 3.5331272446341717e-08,
2913
+ "loss": 1.1501,
2914
+ "step": 2070
2915
+ },
2916
+ {
2917
+ "epoch": 0.9682687820811946,
2918
+ "grad_norm": 1.000735051429408,
2919
+ "learning_rate": 3.066190571856864e-08,
2920
+ "loss": 1.1534,
2921
+ "step": 2075
2922
+ },
2923
+ {
2924
+ "epoch": 0.9706019598693421,
2925
+ "grad_norm": 5.38784324543692,
2926
+ "learning_rate": 2.6322393053916928e-08,
2927
+ "loss": 1.1408,
2928
+ "step": 2080
2929
+ },
2930
+ {
2931
+ "epoch": 0.9729351376574895,
2932
+ "grad_norm": 1.0081839281875051,
2933
+ "learning_rate": 2.231302249998124e-08,
2934
+ "loss": 1.164,
2935
+ "step": 2085
2936
+ },
2937
+ {
2938
+ "epoch": 0.975268315445637,
2939
+ "grad_norm": 0.9710613753352443,
2940
+ "learning_rate": 1.86340601902274e-08,
2941
+ "loss": 1.1543,
2942
+ "step": 2090
2943
+ },
2944
+ {
2945
+ "epoch": 0.9776014932337844,
2946
+ "grad_norm": 0.9946172418863637,
2947
+ "learning_rate": 1.5285750326325953e-08,
2948
+ "loss": 1.1604,
2949
+ "step": 2095
2950
+ },
2951
+ {
2952
+ "epoch": 0.9799346710219319,
2953
+ "grad_norm": 0.9894502702163277,
2954
+ "learning_rate": 1.2268315161944044e-08,
2955
+ "loss": 1.1547,
2956
+ "step": 2100
2957
+ },
2958
+ {
2959
+ "epoch": 0.9822678488100793,
2960
+ "grad_norm": 1.0249944772363728,
2961
+ "learning_rate": 9.581954987991083e-09,
2962
+ "loss": 1.1657,
2963
+ "step": 2105
2964
+ },
2965
+ {
2966
+ "epoch": 0.9846010265982268,
2967
+ "grad_norm": 0.9878502233618688,
2968
+ "learning_rate": 7.226848119326058e-09,
2969
+ "loss": 1.1642,
2970
+ "step": 2110
2971
+ },
2972
+ {
2973
+ "epoch": 0.9869342043863742,
2974
+ "grad_norm": 0.9882911634354341,
2975
+ "learning_rate": 5.203150882918673e-09,
2976
+ "loss": 1.1382,
2977
+ "step": 2115
2978
+ },
2979
+ {
2980
+ "epoch": 0.9892673821745217,
2981
+ "grad_norm": 1.0074220012013155,
2982
+ "learning_rate": 3.5109976074759745e-09,
2983
+ "loss": 1.1578,
2984
+ "step": 2120
2985
+ },
2986
+ {
2987
+ "epoch": 0.9916005599626692,
2988
+ "grad_norm": 0.981600169075199,
2989
+ "learning_rate": 2.1505006145222663e-09,
2990
+ "loss": 1.163,
2991
+ "step": 2125
2992
+ },
2993
+ {
2994
+ "epoch": 0.9939337377508166,
2995
+ "grad_norm": 1.0352562521548165,
2996
+ "learning_rate": 1.121750210946737e-09,
2997
+ "loss": 1.1739,
2998
+ "step": 2130
2999
+ },
3000
+ {
3001
+ "epoch": 0.9962669155389641,
3002
+ "grad_norm": 0.9805349365623601,
3003
+ "learning_rate": 4.2481468300603625e-10,
3004
+ "loss": 1.1601,
3005
+ "step": 2135
3006
+ },
3007
+ {
3008
+ "epoch": 0.9986000933271115,
3009
+ "grad_norm": 1.0014288495338382,
3010
+ "learning_rate": 5.974029179456332e-11,
3011
+ "loss": 1.1526,
3012
+ "step": 2140
3013
+ },
3014
+ {
3015
+ "epoch": 1.0,
3016
+ "eval_runtime": 0.8954,
3017
+ "eval_samples_per_second": 11.168,
3018
+ "eval_steps_per_second": 3.351,
3019
+ "step": 2143
3020
+ },
3021
+ {
3022
+ "epoch": 1.0,
3023
+ "step": 2143,
3024
+ "total_flos": 104409178570752.0,
3025
+ "train_loss": 1.2488443794731108,
3026
+ "train_runtime": 1971.1476,
3027
+ "train_samples_per_second": 17.39,
3028
+ "train_steps_per_second": 1.087
3029
+ }
3030
+ ],
3031
+ "logging_steps": 5,
3032
+ "max_steps": 2143,
3033
+ "num_input_tokens_seen": 0,
3034
+ "num_train_epochs": 1,
3035
+ "save_steps": 100,
3036
+ "stateful_callbacks": {
3037
+ "TrainerControl": {
3038
+ "args": {
3039
+ "should_epoch_stop": false,
3040
+ "should_evaluate": false,
3041
+ "should_log": false,
3042
+ "should_save": true,
3043
+ "should_training_stop": true
3044
+ },
3045
+ "attributes": {}
3046
+ }
3047
+ },
3048
+ "total_flos": 104409178570752.0,
3049
+ "train_batch_size": 4,
3050
+ "trial_name": null,
3051
+ "trial_params": null
3052
+ }