Hugging Face's logo

llama-duo
/
gemma7b-summarize-gemini1.5flash-80k

PEFT
TensorBoard
Safetensors
gemma
alignment-handbook
trl
sft
Generated from Trainer
4-bit precision
bitsandbytes
Model card Files
xet
Metrics Community
chansung commited on
Commit
c1c50bb
·
verified ·
1 Parent(s): dca0064

Model save

Browse files
Files changed (5) hide show
  1. README.md +79 -0
  2. all_results.json +9 -0
  3. runs/May22_10-50-09_deep-diver-main-calm-newt-1-0-0/events.out.tfevents.1716389644.deep-diver-main-calm-newt-1-0-0.384.0 +2 -2
  4. train_results.json +9 -0
  5. trainer_state.json +4049 -0
README.md ADDED
@@ -0,0 +1,79 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ license: gemma
3
+ library_name: peft
4
+ tags:
5
+ - trl
6
+ - sft
7
+ - generated_from_trainer
8
+ base_model: google/gemma-7b
9
+ datasets:
10
+ - generator
11
+ model-index:
12
+ - name: gemma7b-summarize-gemini1.5flash-80k
13
+ results: []
14
+ ---
15
+
16
+ <!-- This model card has been generated automatically according to the information the Trainer had access to. You
17
+ should probably proofread and complete it, then remove this comment. -->
18
+
19
+ [<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="200" height="32"/>](https://wandb.ai/chansung18/huggingface/runs/iqxo2rdd)
20
+ # gemma7b-summarize-gemini1.5flash-80k
21
+
22
+ This model is a fine-tuned version of [google/gemma-7b](https://huggingface.co/google/gemma-7b) on the generator dataset.
23
+ It achieves the following results on the evaluation set:
24
+ - Loss: 3.0229
25
+
26
+ ## Model description
27
+
28
+ More information needed
29
+
30
+ ## Intended uses & limitations
31
+
32
+ More information needed
33
+
34
+ ## Training and evaluation data
35
+
36
+ More information needed
37
+
38
+ ## Training procedure
39
+
40
+ ### Training hyperparameters
41
+
42
+ The following hyperparameters were used during training:
43
+ - learning_rate: 0.0002
44
+ - train_batch_size: 4
45
+ - eval_batch_size: 2
46
+ - seed: 42
47
+ - distributed_type: multi-GPU
48
+ - num_devices: 2
49
+ - gradient_accumulation_steps: 2
50
+ - total_train_batch_size: 16
51
+ - total_eval_batch_size: 4
52
+ - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
53
+ - lr_scheduler_type: cosine
54
+ - lr_scheduler_warmup_ratio: 0.1
55
+ - num_epochs: 10
56
+
57
+ ### Training results
58
+
59
+ | Training Loss | Epoch | Step | Validation Loss |
60
+ |:-------------:|:------:|:----:|:---------------:|
61
+ | 0.8742 | 0.9982 | 280 | 2.1938 |
62
+ | 0.7213 | 2.0 | 561 | 2.1462 |
63
+ | 0.675 | 2.9982 | 841 | 2.1484 |
64
+ | 0.6439 | 4.0 | 1122 | 2.2149 |
65
+ | 0.569 | 4.9982 | 1402 | 2.3224 |
66
+ | 0.5317 | 6.0 | 1683 | 2.4839 |
67
+ | 0.472 | 6.9982 | 1963 | 2.6540 |
68
+ | 0.4306 | 8.0 | 2244 | 2.8791 |
69
+ | 0.4106 | 8.9982 | 2524 | 3.0011 |
70
+ | 0.4021 | 9.9822 | 2800 | 3.0229 |
71
+
72
+
73
+ ### Framework versions
74
+
75
+ - PEFT 0.11.1
76
+ - Transformers 4.41.0
77
+ - Pytorch 2.3.0+cu121
78
+ - Datasets 2.19.1
79
+ - Tokenizers 0.19.1
all_results.json ADDED
@@ -0,0 +1,9 @@
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "epoch": 9.982174688057041,
3
+ "total_flos": 4.2808448846481326e+18,
4
+ "train_loss": 1.3059567311831883,
5
+ "train_runtime": 23112.9867,
6
+ "train_samples": 82111,
7
+ "train_samples_per_second": 1.939,
8
+ "train_steps_per_second": 0.121
9
+ }
runs/May22_10-50-09_deep-diver-main-calm-newt-1-0-0/events.out.tfevents.1716389644.deep-diver-main-calm-newt-1-0-0.384.0 CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:48155fc5c6a4c668309e5ca202536b107bc4a1cb7477d4bae738cd58ccceca62
3
- size 126331
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:043821220e6fdd7ce29c2609c12d5d865aa32d952e77744837814715e32aeba2
3
+ size 126956
train_results.json ADDED
@@ -0,0 +1,9 @@
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "epoch": 9.982174688057041,
3
+ "total_flos": 4.2808448846481326e+18,
4
+ "train_loss": 1.3059567311831883,
5
+ "train_runtime": 23112.9867,
6
+ "train_samples": 82111,
7
+ "train_samples_per_second": 1.939,
8
+ "train_steps_per_second": 0.121
9
+ }
trainer_state.json ADDED
@@ -0,0 +1,4049 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_metric": null,
3
+ "best_model_checkpoint": null,
4
+ "epoch": 9.982174688057041,
5
+ "eval_steps": 500,
6
+ "global_step": 2800,
7
+ "is_hyper_param_search": false,
8
+ "is_local_process_zero": true,
9
+ "is_world_process_zero": true,
10
+ "log_history": [
11
+ {
12
+ "epoch": 0.0035650623885918,
13
+ "grad_norm": 544.0,
14
+ "learning_rate": 7.142857142857143e-07,
15
+ "loss": 53.7211,
16
+ "step": 1
17
+ },
18
+ {
19
+ "epoch": 0.017825311942959002,
20
+ "grad_norm": 592.0,
21
+ "learning_rate": 3.5714285714285714e-06,
22
+ "loss": 57.6044,
23
+ "step": 5
24
+ },
25
+ {
26
+ "epoch": 0.035650623885918005,
27
+ "grad_norm": 608.0,
28
+ "learning_rate": 7.142857142857143e-06,
29
+ "loss": 57.8426,
30
+ "step": 10
31
+ },
32
+ {
33
+ "epoch": 0.053475935828877004,
34
+ "grad_norm": 440.0,
35
+ "learning_rate": 1.0714285714285714e-05,
36
+ "loss": 48.446,
37
+ "step": 15
38
+ },
39
+ {
40
+ "epoch": 0.07130124777183601,
41
+ "grad_norm": 374.0,
42
+ "learning_rate": 1.4285714285714285e-05,
43
+ "loss": 39.2254,
44
+ "step": 20
45
+ },
46
+ {
47
+ "epoch": 0.08912655971479501,
48
+ "grad_norm": 66.5,
49
+ "learning_rate": 1.785714285714286e-05,
50
+ "loss": 27.6479,
51
+ "step": 25
52
+ },
53
+ {
54
+ "epoch": 0.10695187165775401,
55
+ "grad_norm": 35.75,
56
+ "learning_rate": 2.1428571428571428e-05,
57
+ "loss": 24.2563,
58
+ "step": 30
59
+ },
60
+ {
61
+ "epoch": 0.12477718360071301,
62
+ "grad_norm": 32.0,
63
+ "learning_rate": 2.5e-05,
64
+ "loss": 23.2193,
65
+ "step": 35
66
+ },
67
+ {
68
+ "epoch": 0.14260249554367202,
69
+ "grad_norm": 19.75,
70
+ "learning_rate": 2.857142857142857e-05,
71
+ "loss": 21.5174,
72
+ "step": 40
73
+ },
74
+ {
75
+ "epoch": 0.16042780748663102,
76
+ "grad_norm": 11.0625,
77
+ "learning_rate": 3.2142857142857144e-05,
78
+ "loss": 19.7135,
79
+ "step": 45
80
+ },
81
+ {
82
+ "epoch": 0.17825311942959002,
83
+ "grad_norm": 7.1875,
84
+ "learning_rate": 3.571428571428572e-05,
85
+ "loss": 19.1551,
86
+ "step": 50
87
+ },
88
+ {
89
+ "epoch": 0.19607843137254902,
90
+ "grad_norm": 9.0,
91
+ "learning_rate": 3.928571428571429e-05,
92
+ "loss": 18.2747,
93
+ "step": 55
94
+ },
95
+ {
96
+ "epoch": 0.21390374331550802,
97
+ "grad_norm": 13.1875,
98
+ "learning_rate": 4.2857142857142856e-05,
99
+ "loss": 17.2428,
100
+ "step": 60
101
+ },
102
+ {
103
+ "epoch": 0.23172905525846701,
104
+ "grad_norm": 23.25,
105
+ "learning_rate": 4.642857142857143e-05,
106
+ "loss": 16.4017,
107
+ "step": 65
108
+ },
109
+ {
110
+ "epoch": 0.24955436720142601,
111
+ "grad_norm": 57.0,
112
+ "learning_rate": 5e-05,
113
+ "loss": 14.1658,
114
+ "step": 70
115
+ },
116
+ {
117
+ "epoch": 0.26737967914438504,
118
+ "grad_norm": 57.5,
119
+ "learning_rate": 5.3571428571428575e-05,
120
+ "loss": 9.052,
121
+ "step": 75
122
+ },
123
+ {
124
+ "epoch": 0.28520499108734404,
125
+ "grad_norm": 10.875,
126
+ "learning_rate": 5.714285714285714e-05,
127
+ "loss": 3.1244,
128
+ "step": 80
129
+ },
130
+ {
131
+ "epoch": 0.30303030303030304,
132
+ "grad_norm": 10.0625,
133
+ "learning_rate": 6.0714285714285715e-05,
134
+ "loss": 2.0444,
135
+ "step": 85
136
+ },
137
+ {
138
+ "epoch": 0.32085561497326204,
139
+ "grad_norm": 2.640625,
140
+ "learning_rate": 6.428571428571429e-05,
141
+ "loss": 1.7451,
142
+ "step": 90
143
+ },
144
+ {
145
+ "epoch": 0.33868092691622104,
146
+ "grad_norm": 2.96875,
147
+ "learning_rate": 6.785714285714286e-05,
148
+ "loss": 1.5311,
149
+ "step": 95
150
+ },
151
+ {
152
+ "epoch": 0.35650623885918004,
153
+ "grad_norm": 5.90625,
154
+ "learning_rate": 7.142857142857143e-05,
155
+ "loss": 1.4329,
156
+ "step": 100
157
+ },
158
+ {
159
+ "epoch": 0.37433155080213903,
160
+ "grad_norm": 2.78125,
161
+ "learning_rate": 7.500000000000001e-05,
162
+ "loss": 1.2936,
163
+ "step": 105
164
+ },
165
+ {
166
+ "epoch": 0.39215686274509803,
167
+ "grad_norm": 1.8125,
168
+ "learning_rate": 7.857142857142858e-05,
169
+ "loss": 1.2525,
170
+ "step": 110
171
+ },
172
+ {
173
+ "epoch": 0.40998217468805703,
174
+ "grad_norm": 2.578125,
175
+ "learning_rate": 8.214285714285714e-05,
176
+ "loss": 1.2163,
177
+ "step": 115
178
+ },
179
+ {
180
+ "epoch": 0.42780748663101603,
181
+ "grad_norm": 10.3125,
182
+ "learning_rate": 8.571428571428571e-05,
183
+ "loss": 1.1466,
184
+ "step": 120
185
+ },
186
+ {
187
+ "epoch": 0.44563279857397503,
188
+ "grad_norm": 8.5625,
189
+ "learning_rate": 8.92857142857143e-05,
190
+ "loss": 1.1372,
191
+ "step": 125
192
+ },
193
+ {
194
+ "epoch": 0.46345811051693403,
195
+ "grad_norm": 1.375,
196
+ "learning_rate": 9.285714285714286e-05,
197
+ "loss": 1.0929,
198
+ "step": 130
199
+ },
200
+ {
201
+ "epoch": 0.48128342245989303,
202
+ "grad_norm": 3.53125,
203
+ "learning_rate": 9.642857142857143e-05,
204
+ "loss": 1.0724,
205
+ "step": 135
206
+ },
207
+ {
208
+ "epoch": 0.49910873440285203,
209
+ "grad_norm": 15.125,
210
+ "learning_rate": 0.0001,
211
+ "loss": 1.0491,
212
+ "step": 140
213
+ },
214
+ {
215
+ "epoch": 0.5169340463458111,
216
+ "grad_norm": 1.84375,
217
+ "learning_rate": 0.00010357142857142859,
218
+ "loss": 1.03,
219
+ "step": 145
220
+ },
221
+ {
222
+ "epoch": 0.5347593582887701,
223
+ "grad_norm": 2.734375,
224
+ "learning_rate": 0.00010714285714285715,
225
+ "loss": 0.9893,
226
+ "step": 150
227
+ },
228
+ {
229
+ "epoch": 0.5525846702317291,
230
+ "grad_norm": 2.71875,
231
+ "learning_rate": 0.00011071428571428572,
232
+ "loss": 0.9907,
233
+ "step": 155
234
+ },
235
+ {
236
+ "epoch": 0.5704099821746881,
237
+ "grad_norm": 7.21875,
238
+ "learning_rate": 0.00011428571428571428,
239
+ "loss": 0.9565,
240
+ "step": 160
241
+ },
242
+ {
243
+ "epoch": 0.5882352941176471,
244
+ "grad_norm": 7.375,
245
+ "learning_rate": 0.00011785714285714287,
246
+ "loss": 0.937,
247
+ "step": 165
248
+ },
249
+ {
250
+ "epoch": 0.6060606060606061,
251
+ "grad_norm": 2.59375,
252
+ "learning_rate": 0.00012142857142857143,
253
+ "loss": 0.9235,
254
+ "step": 170
255
+ },
256
+ {
257
+ "epoch": 0.6238859180035651,
258
+ "grad_norm": 5.1875,
259
+ "learning_rate": 0.000125,
260
+ "loss": 0.9509,
261
+ "step": 175
262
+ },
263
+ {
264
+ "epoch": 0.6417112299465241,
265
+ "grad_norm": 2.28125,
266
+ "learning_rate": 0.00012857142857142858,
267
+ "loss": 0.9249,
268
+ "step": 180
269
+ },
270
+ {
271
+ "epoch": 0.6595365418894831,
272
+ "grad_norm": 1.8984375,
273
+ "learning_rate": 0.00013214285714285715,
274
+ "loss": 0.9199,
275
+ "step": 185
276
+ },
277
+ {
278
+ "epoch": 0.6773618538324421,
279
+ "grad_norm": 6.8125,
280
+ "learning_rate": 0.00013571428571428572,
281
+ "loss": 0.9006,
282
+ "step": 190
283
+ },
284
+ {
285
+ "epoch": 0.6951871657754011,
286
+ "grad_norm": 2.140625,
287
+ "learning_rate": 0.0001392857142857143,
288
+ "loss": 0.9527,
289
+ "step": 195
290
+ },
291
+ {
292
+ "epoch": 0.7130124777183601,
293
+ "grad_norm": 0.8828125,
294
+ "learning_rate": 0.00014285714285714287,
295
+ "loss": 0.9255,
296
+ "step": 200
297
+ },
298
+ {
299
+ "epoch": 0.7308377896613191,
300
+ "grad_norm": 4.875,
301
+ "learning_rate": 0.00014642857142857141,
302
+ "loss": 0.9124,
303
+ "step": 205
304
+ },
305
+ {
306
+ "epoch": 0.7486631016042781,
307
+ "grad_norm": 3.328125,
308
+ "learning_rate": 0.00015000000000000001,
309
+ "loss": 0.894,
310
+ "step": 210
311
+ },
312
+ {
313
+ "epoch": 0.7664884135472371,
314
+ "grad_norm": 2.5625,
315
+ "learning_rate": 0.0001535714285714286,
316
+ "loss": 0.8926,
317
+ "step": 215
318
+ },
319
+ {
320
+ "epoch": 0.7843137254901961,
321
+ "grad_norm": 5.5625,
322
+ "learning_rate": 0.00015714285714285716,
323
+ "loss": 0.8809,
324
+ "step": 220
325
+ },
326
+ {
327
+ "epoch": 0.8021390374331551,
328
+ "grad_norm": 1.8984375,
329
+ "learning_rate": 0.00016071428571428573,
330
+ "loss": 0.88,
331
+ "step": 225
332
+ },
333
+ {
334
+ "epoch": 0.8199643493761141,
335
+ "grad_norm": 2.171875,
336
+ "learning_rate": 0.00016428571428571428,
337
+ "loss": 0.8727,
338
+ "step": 230
339
+ },
340
+ {
341
+ "epoch": 0.8377896613190731,
342
+ "grad_norm": 1.875,
343
+ "learning_rate": 0.00016785714285714288,
344
+ "loss": 0.854,
345
+ "step": 235
346
+ },
347
+ {
348
+ "epoch": 0.8556149732620321,
349
+ "grad_norm": 5.84375,
350
+ "learning_rate": 0.00017142857142857143,
351
+ "loss": 0.8838,
352
+ "step": 240
353
+ },
354
+ {
355
+ "epoch": 0.8734402852049911,
356
+ "grad_norm": 1.7109375,
357
+ "learning_rate": 0.000175,
358
+ "loss": 0.8374,
359
+ "step": 245
360
+ },
361
+ {
362
+ "epoch": 0.8912655971479501,
363
+ "grad_norm": 1.3671875,
364
+ "learning_rate": 0.0001785714285714286,
365
+ "loss": 0.8766,
366
+ "step": 250
367
+ },
368
+ {
369
+ "epoch": 0.9090909090909091,
370
+ "grad_norm": 1.015625,
371
+ "learning_rate": 0.00018214285714285714,
372
+ "loss": 0.8761,
373
+ "step": 255
374
+ },
375
+ {
376
+ "epoch": 0.9269162210338681,
377
+ "grad_norm": 2.5,
378
+ "learning_rate": 0.00018571428571428572,
379
+ "loss": 0.8501,
380
+ "step": 260
381
+ },
382
+ {
383
+ "epoch": 0.9447415329768271,
384
+ "grad_norm": 3.78125,
385
+ "learning_rate": 0.0001892857142857143,
386
+ "loss": 0.8405,
387
+ "step": 265
388
+ },
389
+ {
390
+ "epoch": 0.9625668449197861,
391
+ "grad_norm": 2.671875,
392
+ "learning_rate": 0.00019285714285714286,
393
+ "loss": 0.8425,
394
+ "step": 270
395
+ },
396
+ {
397
+ "epoch": 0.9803921568627451,
398
+ "grad_norm": 4.1875,
399
+ "learning_rate": 0.00019642857142857144,
400
+ "loss": 0.8156,
401
+ "step": 275
402
+ },
403
+ {
404
+ "epoch": 0.9982174688057041,
405
+ "grad_norm": 1.640625,
406
+ "learning_rate": 0.0002,
407
+ "loss": 0.8742,
408
+ "step": 280
409
+ },
410
+ {
411
+ "epoch": 0.9982174688057041,
412
+ "eval_loss": 2.193777322769165,
413
+ "eval_runtime": 1.0432,
414
+ "eval_samples_per_second": 4.793,
415
+ "eval_steps_per_second": 1.917,
416
+ "step": 280
417
+ },
418
+ {
419
+ "epoch": 1.0160427807486632,
420
+ "grad_norm": 1.7109375,
421
+ "learning_rate": 0.00019999805729315381,
422
+ "loss": 0.8053,
423
+ "step": 285
424
+ },
425
+ {
426
+ "epoch": 1.0338680926916222,
427
+ "grad_norm": 15.875,
428
+ "learning_rate": 0.0001999922292480975,
429
+ "loss": 0.7993,
430
+ "step": 290
431
+ },
432
+ {
433
+ "epoch": 1.0516934046345812,
434
+ "grad_norm": 0.703125,
435
+ "learning_rate": 0.00019998251609127464,
436
+ "loss": 0.7952,
437
+ "step": 295
438
+ },
439
+ {
440
+ "epoch": 1.0695187165775402,
441
+ "grad_norm": 1.6953125,
442
+ "learning_rate": 0.00019996891820008164,
443
+ "loss": 0.8014,
444
+ "step": 300
445
+ },
446
+ {
447
+ "epoch": 1.0873440285204992,
448
+ "grad_norm": 2.9375,
449
+ "learning_rate": 0.00019995143610285277,
450
+ "loss": 0.8063,
451
+ "step": 305
452
+ },
453
+ {
454
+ "epoch": 1.1051693404634582,
455
+ "grad_norm": 1.2109375,
456
+ "learning_rate": 0.00019993007047883988,
457
+ "loss": 0.7976,
458
+ "step": 310
459
+ },
460
+ {
461
+ "epoch": 1.1229946524064172,
462
+ "grad_norm": 3.84375,
463
+ "learning_rate": 0.0001999048221581858,
464
+ "loss": 0.8032,
465
+ "step": 315
466
+ },
467
+ {
468
+ "epoch": 1.1408199643493762,
469
+ "grad_norm": 1.2109375,
470
+ "learning_rate": 0.00019987569212189224,
471
+ "loss": 0.803,
472
+ "step": 320
473
+ },
474
+ {
475
+ "epoch": 1.1586452762923352,
476
+ "grad_norm": 1.0078125,
477
+ "learning_rate": 0.00019984268150178167,
478
+ "loss": 0.7784,
479
+ "step": 325
480
+ },
481
+ {
482
+ "epoch": 1.1764705882352942,
483
+ "grad_norm": 2.03125,
484
+ "learning_rate": 0.0001998057915804532,
485
+ "loss": 0.8112,
486
+ "step": 330
487
+ },
488
+ {
489
+ "epoch": 1.1942959001782532,
490
+ "grad_norm": 1.2109375,
491
+ "learning_rate": 0.0001997650237912329,
492
+ "loss": 0.8125,
493
+ "step": 335
494
+ },
495
+ {
496
+ "epoch": 1.2121212121212122,
497
+ "grad_norm": 1.703125,
498
+ "learning_rate": 0.00019972037971811802,
499
+ "loss": 0.8039,
500
+ "step": 340
501
+ },
502
+ {
503
+ "epoch": 1.2299465240641712,
504
+ "grad_norm": 2.8125,
505
+ "learning_rate": 0.00019967186109571552,
506
+ "loss": 0.8025,
507
+ "step": 345
508
+ },
509
+ {
510
+ "epoch": 1.2477718360071302,
511
+ "grad_norm": 1.046875,
512
+ "learning_rate": 0.00019961946980917456,
513
+ "loss": 0.7937,
514
+ "step": 350
515
+ },
516
+ {
517
+ "epoch": 1.2655971479500892,
518
+ "grad_norm": 1.1640625,
519
+ "learning_rate": 0.00019956320789411337,
520
+ "loss": 0.7789,
521
+ "step": 355
522
+ },
523
+ {
524
+ "epoch": 1.2834224598930482,
525
+ "grad_norm": 0.99609375,
526
+ "learning_rate": 0.00019950307753654017,
527
+ "loss": 0.7762,
528
+ "step": 360
529
+ },
530
+ {
531
+ "epoch": 1.3012477718360071,
532
+ "grad_norm": 1.8515625,
533
+ "learning_rate": 0.00019943908107276798,
534
+ "loss": 0.7617,
535
+ "step": 365
536
+ },
537
+ {
538
+ "epoch": 1.3190730837789661,
539
+ "grad_norm": 1.3359375,
540
+ "learning_rate": 0.00019937122098932428,
541
+ "loss": 0.7645,
542
+ "step": 370
543
+ },
544
+ {
545
+ "epoch": 1.3368983957219251,
546
+ "grad_norm": 0.65625,
547
+ "learning_rate": 0.00019929949992285396,
548
+ "loss": 0.764,
549
+ "step": 375
550
+ },
551
+ {
552
+ "epoch": 1.3547237076648841,
553
+ "grad_norm": 0.8671875,
554
+ "learning_rate": 0.00019922392066001722,
555
+ "loss": 0.781,
556
+ "step": 380
557
+ },
558
+ {
559
+ "epoch": 1.3725490196078431,
560
+ "grad_norm": 0.71484375,
561
+ "learning_rate": 0.00019914448613738106,
562
+ "loss": 0.7643,
563
+ "step": 385
564
+ },
565
+ {
566
+ "epoch": 1.3903743315508021,
567
+ "grad_norm": 0.95703125,
568
+ "learning_rate": 0.0001990611994413053,
569
+ "loss": 0.7628,
570
+ "step": 390
571
+ },
572
+ {
573
+ "epoch": 1.4081996434937611,
574
+ "grad_norm": 1.8125,
575
+ "learning_rate": 0.00019897406380782261,
576
+ "loss": 0.7739,
577
+ "step": 395
578
+ },
579
+ {
580
+ "epoch": 1.4260249554367201,
581
+ "grad_norm": 0.7890625,
582
+ "learning_rate": 0.00019888308262251285,
583
+ "loss": 0.774,
584
+ "step": 400
585
+ },
586
+ {
587
+ "epoch": 1.4438502673796791,
588
+ "grad_norm": 2.28125,
589
+ "learning_rate": 0.00019878825942037148,
590
+ "loss": 0.7485,
591
+ "step": 405
592
+ },
593
+ {
594
+ "epoch": 1.4616755793226381,
595
+ "grad_norm": 0.5859375,
596
+ "learning_rate": 0.00019868959788567212,
597
+ "loss": 0.7735,
598
+ "step": 410
599
+ },
600
+ {
601
+ "epoch": 1.4795008912655971,
602
+ "grad_norm": 1.1796875,
603
+ "learning_rate": 0.0001985871018518236,
604
+ "loss": 0.7649,
605
+ "step": 415
606
+ },
607
+ {
608
+ "epoch": 1.4973262032085561,
609
+ "grad_norm": 2.953125,
610
+ "learning_rate": 0.00019848077530122083,
611
+ "loss": 0.7589,
612
+ "step": 420
613
+ },
614
+ {
615
+ "epoch": 1.5151515151515151,
616
+ "grad_norm": 1.5859375,
617
+ "learning_rate": 0.00019837062236509014,
618
+ "loss": 0.7574,
619
+ "step": 425
620
+ },
621
+ {
622
+ "epoch": 1.5329768270944741,
623
+ "grad_norm": 2.609375,
624
+ "learning_rate": 0.00019825664732332884,
625
+ "loss": 0.7551,
626
+ "step": 430
627
+ },
628
+ {
629
+ "epoch": 1.5508021390374331,
630
+ "grad_norm": 0.74609375,
631
+ "learning_rate": 0.00019813885460433879,
632
+ "loss": 0.7595,
633
+ "step": 435
634
+ },
635
+ {
636
+ "epoch": 1.5686274509803921,
637
+ "grad_norm": 0.9296875,
638
+ "learning_rate": 0.00019801724878485438,
639
+ "loss": 0.7716,
640
+ "step": 440
641
+ },
642
+ {
643
+ "epoch": 1.5864527629233511,
644
+ "grad_norm": 1.484375,
645
+ "learning_rate": 0.00019789183458976484,
646
+ "loss": 0.7629,
647
+ "step": 445
648
+ },
649
+ {
650
+ "epoch": 1.6042780748663101,
651
+ "grad_norm": 1.6328125,
652
+ "learning_rate": 0.00019776261689193048,
653
+ "loss": 0.7372,
654
+ "step": 450
655
+ },
656
+ {
657
+ "epoch": 1.6221033868092691,
658
+ "grad_norm": 1.125,
659
+ "learning_rate": 0.00019762960071199333,
660
+ "loss": 0.7505,
661
+ "step": 455
662
+ },
663
+ {
664
+ "epoch": 1.6399286987522281,
665
+ "grad_norm": 2.0625,
666
+ "learning_rate": 0.00019749279121818235,
667
+ "loss": 0.747,
668
+ "step": 460
669
+ },
670
+ {
671
+ "epoch": 1.6577540106951871,
672
+ "grad_norm": 3.046875,
673
+ "learning_rate": 0.00019735219372611233,
674
+ "loss": 0.7641,
675
+ "step": 465
676
+ },
677
+ {
678
+ "epoch": 1.6755793226381461,
679
+ "grad_norm": 1.4921875,
680
+ "learning_rate": 0.00019720781369857746,
681
+ "loss": 0.7568,
682
+ "step": 470
683
+ },
684
+ {
685
+ "epoch": 1.6934046345811051,
686
+ "grad_norm": 0.76953125,
687
+ "learning_rate": 0.0001970596567453391,
688
+ "loss": 0.7767,
689
+ "step": 475
690
+ },
691
+ {
692
+ "epoch": 1.7112299465240641,
693
+ "grad_norm": 0.53125,
694
+ "learning_rate": 0.0001969077286229078,
695
+ "loss": 0.7286,
696
+ "step": 480
697
+ },
698
+ {
699
+ "epoch": 1.7290552584670231,
700
+ "grad_norm": 1.3359375,
701
+ "learning_rate": 0.00019675203523431966,
702
+ "loss": 0.742,
703
+ "step": 485
704
+ },
705
+ {
706
+ "epoch": 1.7468805704099821,
707
+ "grad_norm": 3.15625,
708
+ "learning_rate": 0.00019659258262890683,
709
+ "loss": 0.7531,
710
+ "step": 490
711
+ },
712
+ {
713
+ "epoch": 1.7647058823529411,
714
+ "grad_norm": 0.734375,
715
+ "learning_rate": 0.0001964293770020628,
716
+ "loss": 0.7452,
717
+ "step": 495
718
+ },
719
+ {
720
+ "epoch": 1.7825311942959001,
721
+ "grad_norm": 4.25,
722
+ "learning_rate": 0.0001962624246950012,
723
+ "loss": 0.7418,
724
+ "step": 500
725
+ },
726
+ {
727
+ "epoch": 1.8003565062388591,
728
+ "grad_norm": 1.4296875,
729
+ "learning_rate": 0.00019609173219450998,
730
+ "loss": 0.7584,
731
+ "step": 505
732
+ },
733
+ {
734
+ "epoch": 1.8181818181818183,
735
+ "grad_norm": 5.0625,
736
+ "learning_rate": 0.0001959173061326988,
737
+ "loss": 0.7544,
738
+ "step": 510
739
+ },
740
+ {
741
+ "epoch": 1.8360071301247771,
742
+ "grad_norm": 2.109375,
743
+ "learning_rate": 0.0001957391532867418,
744
+ "loss": 0.7601,
745
+ "step": 515
746
+ },
747
+ {
748
+ "epoch": 1.8538324420677363,
749
+ "grad_norm": 1.8828125,
750
+ "learning_rate": 0.0001955572805786141,
751
+ "loss": 0.7313,
752
+ "step": 520
753
+ },
754
+ {
755
+ "epoch": 1.8716577540106951,
756
+ "grad_norm": 1.0390625,
757
+ "learning_rate": 0.0001953716950748227,
758
+ "loss": 0.7241,
759
+ "step": 525
760
+ },
761
+ {
762
+ "epoch": 1.8894830659536543,
763
+ "grad_norm": 1.34375,
764
+ "learning_rate": 0.00019518240398613227,
765
+ "loss": 0.7512,
766
+ "step": 530
767
+ },
768
+ {
769
+ "epoch": 1.9073083778966131,
770
+ "grad_norm": 1.6328125,
771
+ "learning_rate": 0.0001949894146672846,
772
+ "loss": 0.7244,
773
+ "step": 535
774
+ },
775
+ {
776
+ "epoch": 1.9251336898395723,
777
+ "grad_norm": 2.0625,
778
+ "learning_rate": 0.0001947927346167132,
779
+ "loss": 0.7434,
780
+ "step": 540
781
+ },
782
+ {
783
+ "epoch": 1.9429590017825311,
784
+ "grad_norm": 1.28125,
785
+ "learning_rate": 0.0001945923714762516,
786
+ "loss": 0.7387,
787
+ "step": 545
788
+ },
789
+ {
790
+ "epoch": 1.9607843137254903,
791
+ "grad_norm": 4.125,
792
+ "learning_rate": 0.00019438833303083678,
793
+ "loss": 0.7388,
794
+ "step": 550
795
+ },
796
+ {
797
+ "epoch": 1.9786096256684491,
798
+ "grad_norm": 2.1875,
799
+ "learning_rate": 0.00019418062720820637,
800
+ "loss": 0.7361,
801
+ "step": 555
802
+ },
803
+ {
804
+ "epoch": 1.9964349376114083,
805
+ "grad_norm": 1.84375,
806
+ "learning_rate": 0.00019396926207859084,
807
+ "loss": 0.7213,
808
+ "step": 560
809
+ },
810
+ {
811
+ "epoch": 2.0,
812
+ "eval_loss": 2.146196126937866,
813
+ "eval_runtime": 1.0228,
814
+ "eval_samples_per_second": 4.888,
815
+ "eval_steps_per_second": 1.955,
816
+ "step": 561
817
+ },
818
+ {
819
+ "epoch": 2.014260249554367,
820
+ "grad_norm": 1.5078125,
821
+ "learning_rate": 0.00019375424585439994,
822
+ "loss": 0.6961,
823
+ "step": 565
824
+ },
825
+ {
826
+ "epoch": 2.0320855614973263,
827
+ "grad_norm": 1.6171875,
828
+ "learning_rate": 0.0001935355868899034,
829
+ "loss": 0.6878,
830
+ "step": 570
831
+ },
832
+ {
833
+ "epoch": 2.049910873440285,
834
+ "grad_norm": 1.2890625,
835
+ "learning_rate": 0.00019331329368090666,
836
+ "loss": 0.6976,
837
+ "step": 575
838
+ },
839
+ {
840
+ "epoch": 2.0677361853832443,
841
+ "grad_norm": 1.15625,
842
+ "learning_rate": 0.00019308737486442045,
843
+ "loss": 0.6947,
844
+ "step": 580
845
+ },
846
+ {
847
+ "epoch": 2.085561497326203,
848
+ "grad_norm": 1.0625,
849
+ "learning_rate": 0.00019285783921832537,
850
+ "loss": 0.6682,
851
+ "step": 585
852
+ },
853
+ {
854
+ "epoch": 2.1033868092691623,
855
+ "grad_norm": 0.94921875,
856
+ "learning_rate": 0.0001926246956610309,
857
+ "loss": 0.6653,
858
+ "step": 590
859
+ },
860
+ {
861
+ "epoch": 2.121212121212121,
862
+ "grad_norm": 1.3671875,
863
+ "learning_rate": 0.0001923879532511287,
864
+ "loss": 0.6826,
865
+ "step": 595
866
+ },
867
+ {
868
+ "epoch": 2.1390374331550803,
869
+ "grad_norm": 1.015625,
870
+ "learning_rate": 0.00019214762118704076,
871
+ "loss": 0.6856,
872
+ "step": 600
873
+ },
874
+ {
875
+ "epoch": 2.156862745098039,
876
+ "grad_norm": 0.828125,
877
+ "learning_rate": 0.00019190370880666207,
878
+ "loss": 0.7042,
879
+ "step": 605
880
+ },
881
+ {
882
+ "epoch": 2.1746880570409983,
883
+ "grad_norm": 1.1484375,
884
+ "learning_rate": 0.00019165622558699763,
885
+ "loss": 0.6811,
886
+ "step": 610
887
+ },
888
+ {
889
+ "epoch": 2.192513368983957,
890
+ "grad_norm": 2.015625,
891
+ "learning_rate": 0.00019140518114379434,
892
+ "loss": 0.6949,
893
+ "step": 615
894
+ },
895
+ {
896
+ "epoch": 2.2103386809269163,
897
+ "grad_norm": 0.55859375,
898
+ "learning_rate": 0.00019115058523116733,
899
+ "loss": 0.6886,
900
+ "step": 620
901
+ },
902
+ {
903
+ "epoch": 2.228163992869875,
904
+ "grad_norm": 0.73046875,
905
+ "learning_rate": 0.0001908924477412211,
906
+ "loss": 0.6918,
907
+ "step": 625
908
+ },
909
+ {
910
+ "epoch": 2.2459893048128343,
911
+ "grad_norm": 0.64453125,
912
+ "learning_rate": 0.000190630778703665,
913
+ "loss": 0.6844,
914
+ "step": 630
915
+ },
916
+ {
917
+ "epoch": 2.263814616755793,
918
+ "grad_norm": 0.92578125,
919
+ "learning_rate": 0.00019036558828542367,
920
+ "loss": 0.6939,
921
+ "step": 635
922
+ },
923
+ {
924
+ "epoch": 2.2816399286987523,
925
+ "grad_norm": 0.6796875,
926
+ "learning_rate": 0.0001900968867902419,
927
+ "loss": 0.6966,
928
+ "step": 640
929
+ },
930
+ {
931
+ "epoch": 2.299465240641711,
932
+ "grad_norm": 0.95703125,
933
+ "learning_rate": 0.00018982468465828442,
934
+ "loss": 0.6894,
935
+ "step": 645
936
+ },
937
+ {
938
+ "epoch": 2.3172905525846703,
939
+ "grad_norm": 0.65234375,
940
+ "learning_rate": 0.0001895489924657301,
941
+ "loss": 0.6878,
942
+ "step": 650
943
+ },
944
+ {
945
+ "epoch": 2.335115864527629,
946
+ "grad_norm": 2.921875,
947
+ "learning_rate": 0.00018926982092436117,
948
+ "loss": 0.6878,
949
+ "step": 655
950
+ },
951
+ {
952
+ "epoch": 2.3529411764705883,
953
+ "grad_norm": 1.234375,
954
+ "learning_rate": 0.0001889871808811469,
955
+ "loss": 0.6829,
956
+ "step": 660
957
+ },
958
+ {
959
+ "epoch": 2.370766488413547,
960
+ "grad_norm": 2.078125,
961
+ "learning_rate": 0.00018870108331782217,
962
+ "loss": 0.7115,
963
+ "step": 665
964
+ },
965
+ {
966
+ "epoch": 2.3885918003565063,
967
+ "grad_norm": 1.53125,
968
+ "learning_rate": 0.00018841153935046098,
969
+ "loss": 0.6921,
970
+ "step": 670
971
+ },
972
+ {
973
+ "epoch": 2.406417112299465,
974
+ "grad_norm": 0.6875,
975
+ "learning_rate": 0.00018811856022904423,
976
+ "loss": 0.6963,
977
+ "step": 675
978
+ },
979
+ {
980
+ "epoch": 2.4242424242424243,
981
+ "grad_norm": 1.2265625,
982
+ "learning_rate": 0.00018782215733702286,
983
+ "loss": 0.6968,
984
+ "step": 680
985
+ },
986
+ {
987
+ "epoch": 2.442067736185383,
988
+ "grad_norm": 1.6171875,
989
+ "learning_rate": 0.00018752234219087538,
990
+ "loss": 0.6953,
991
+ "step": 685
992
+ },
993
+ {
994
+ "epoch": 2.4598930481283423,
995
+ "grad_norm": 1.09375,
996
+ "learning_rate": 0.00018721912643966055,
997
+ "loss": 0.6898,
998
+ "step": 690
999
+ },
1000
+ {
1001
+ "epoch": 2.477718360071301,
1002
+ "grad_norm": 1.1171875,
1003
+ "learning_rate": 0.00018691252186456465,
1004
+ "loss": 0.6777,
1005
+ "step": 695
1006
+ },
1007
+ {
1008
+ "epoch": 2.4955436720142603,
1009
+ "grad_norm": 1.015625,
1010
+ "learning_rate": 0.00018660254037844388,
1011
+ "loss": 0.7143,
1012
+ "step": 700
1013
+ },
1014
+ {
1015
+ "epoch": 2.5133689839572195,
1016
+ "grad_norm": 0.6328125,
1017
+ "learning_rate": 0.0001862891940253613,
1018
+ "loss": 0.708,
1019
+ "step": 705
1020
+ },
1021
+ {
1022
+ "epoch": 2.5311942959001783,
1023
+ "grad_norm": 0.8828125,
1024
+ "learning_rate": 0.00018597249498011903,
1025
+ "loss": 0.6775,
1026
+ "step": 710
1027
+ },
1028
+ {
1029
+ "epoch": 2.549019607843137,
1030
+ "grad_norm": 2.65625,
1031
+ "learning_rate": 0.00018565245554778517,
1032
+ "loss": 0.6673,
1033
+ "step": 715
1034
+ },
1035
+ {
1036
+ "epoch": 2.5668449197860963,
1037
+ "grad_norm": 0.53515625,
1038
+ "learning_rate": 0.00018532908816321558,
1039
+ "loss": 0.6801,
1040
+ "step": 720
1041
+ },
1042
+ {
1043
+ "epoch": 2.5846702317290555,
1044
+ "grad_norm": 0.96875,
1045
+ "learning_rate": 0.0001850024053905709,
1046
+ "loss": 0.6834,
1047
+ "step": 725
1048
+ },
1049
+ {
1050
+ "epoch": 2.6024955436720143,
1051
+ "grad_norm": 0.84375,
1052
+ "learning_rate": 0.00018467241992282843,
1053
+ "loss": 0.6809,
1054
+ "step": 730
1055
+ },
1056
+ {
1057
+ "epoch": 2.620320855614973,
1058
+ "grad_norm": 0.53125,
1059
+ "learning_rate": 0.0001843391445812886,
1060
+ "loss": 0.6793,
1061
+ "step": 735
1062
+ },
1063
+ {
1064
+ "epoch": 2.6381461675579323,
1065
+ "grad_norm": 0.56640625,
1066
+ "learning_rate": 0.00018400259231507717,
1067
+ "loss": 0.686,
1068
+ "step": 740
1069
+ },
1070
+ {
1071
+ "epoch": 2.6559714795008915,
1072
+ "grad_norm": 2.328125,
1073
+ "learning_rate": 0.00018366277620064197,
1074
+ "loss": 0.6829,
1075
+ "step": 745
1076
+ },
1077
+ {
1078
+ "epoch": 2.6737967914438503,
1079
+ "grad_norm": 1.5,
1080
+ "learning_rate": 0.0001833197094412449,
1081
+ "loss": 0.6862,
1082
+ "step": 750
1083
+ },
1084
+ {
1085
+ "epoch": 2.691622103386809,
1086
+ "grad_norm": 0.7265625,
1087
+ "learning_rate": 0.00018297340536644875,
1088
+ "loss": 0.6791,
1089
+ "step": 755
1090
+ },
1091
+ {
1092
+ "epoch": 2.7094474153297683,
1093
+ "grad_norm": 0.69921875,
1094
+ "learning_rate": 0.0001826238774315995,
1095
+ "loss": 0.6924,
1096
+ "step": 760
1097
+ },
1098
+ {
1099
+ "epoch": 2.7272727272727275,
1100
+ "grad_norm": 12.25,
1101
+ "learning_rate": 0.00018227113921730334,
1102
+ "loss": 0.6946,
1103
+ "step": 765
1104
+ },
1105
+ {
1106
+ "epoch": 2.7450980392156863,
1107
+ "grad_norm": 0.9375,
1108
+ "learning_rate": 0.0001819152044288992,
1109
+ "loss": 0.6999,
1110
+ "step": 770
1111
+ },
1112
+ {
1113
+ "epoch": 2.762923351158645,
1114
+ "grad_norm": 0.5234375,
1115
+ "learning_rate": 0.00018155608689592604,
1116
+ "loss": 0.694,
1117
+ "step": 775
1118
+ },
1119
+ {
1120
+ "epoch": 2.7807486631016043,
1121
+ "grad_norm": 0.58984375,
1122
+ "learning_rate": 0.00018119380057158568,
1123
+ "loss": 0.6958,
1124
+ "step": 780
1125
+ },
1126
+ {
1127
+ "epoch": 2.7985739750445635,
1128
+ "grad_norm": 0.5390625,
1129
+ "learning_rate": 0.00018082835953220054,
1130
+ "loss": 0.6951,
1131
+ "step": 785
1132
+ },
1133
+ {
1134
+ "epoch": 2.8163992869875223,
1135
+ "grad_norm": 0.72265625,
1136
+ "learning_rate": 0.00018045977797666684,
1137
+ "loss": 0.6826,
1138
+ "step": 790
1139
+ },
1140
+ {
1141
+ "epoch": 2.834224598930481,
1142
+ "grad_norm": 0.66015625,
1143
+ "learning_rate": 0.00018008807022590283,
1144
+ "loss": 0.6889,
1145
+ "step": 795
1146
+ },
1147
+ {
1148
+ "epoch": 2.8520499108734403,
1149
+ "grad_norm": 0.51171875,
1150
+ "learning_rate": 0.00017971325072229226,
1151
+ "loss": 0.6953,
1152
+ "step": 800
1153
+ },
1154
+ {
1155
+ "epoch": 2.8698752228163995,
1156
+ "grad_norm": 1.0078125,
1157
+ "learning_rate": 0.00017933533402912354,
1158
+ "loss": 0.6755,
1159
+ "step": 805
1160
+ },
1161
+ {
1162
+ "epoch": 2.8877005347593583,
1163
+ "grad_norm": 0.51953125,
1164
+ "learning_rate": 0.00017895433483002354,
1165
+ "loss": 0.6981,
1166
+ "step": 810
1167
+ },
1168
+ {
1169
+ "epoch": 2.905525846702317,
1170
+ "grad_norm": 0.625,
1171
+ "learning_rate": 0.00017857026792838737,
1172
+ "loss": 0.6827,
1173
+ "step": 815
1174
+ },
1175
+ {
1176
+ "epoch": 2.9233511586452763,
1177
+ "grad_norm": 1.3984375,
1178
+ "learning_rate": 0.000178183148246803,
1179
+ "loss": 0.6895,
1180
+ "step": 820
1181
+ },
1182
+ {
1183
+ "epoch": 2.9411764705882355,
1184
+ "grad_norm": 1.171875,
1185
+ "learning_rate": 0.00017779299082647148,
1186
+ "loss": 0.678,
1187
+ "step": 825
1188
+ },
1189
+ {
1190
+ "epoch": 2.9590017825311943,
1191
+ "grad_norm": 0.953125,
1192
+ "learning_rate": 0.00017739981082662276,
1193
+ "loss": 0.6959,
1194
+ "step": 830
1195
+ },
1196
+ {
1197
+ "epoch": 2.976827094474153,
1198
+ "grad_norm": 0.515625,
1199
+ "learning_rate": 0.0001770036235239263,
1200
+ "loss": 0.7065,
1201
+ "step": 835
1202
+ },
1203
+ {
1204
+ "epoch": 2.9946524064171123,
1205
+ "grad_norm": 0.451171875,
1206
+ "learning_rate": 0.0001766044443118978,
1207
+ "loss": 0.675,
1208
+ "step": 840
1209
+ },
1210
+ {
1211
+ "epoch": 2.998217468805704,
1212
+ "eval_loss": 2.1484053134918213,
1213
+ "eval_runtime": 1.0318,
1214
+ "eval_samples_per_second": 4.846,
1215
+ "eval_steps_per_second": 1.938,
1216
+ "step": 841
1217
+ },
1218
+ {
1219
+ "epoch": 3.0124777183600715,
1220
+ "grad_norm": 0.68359375,
1221
+ "learning_rate": 0.00017620228870030108,
1222
+ "loss": 0.6463,
1223
+ "step": 845
1224
+ },
1225
+ {
1226
+ "epoch": 3.0303030303030303,
1227
+ "grad_norm": 0.7734375,
1228
+ "learning_rate": 0.0001757971723145453,
1229
+ "loss": 0.6127,
1230
+ "step": 850
1231
+ },
1232
+ {
1233
+ "epoch": 3.0481283422459895,
1234
+ "grad_norm": 0.60546875,
1235
+ "learning_rate": 0.000175389110895078,
1236
+ "loss": 0.5995,
1237
+ "step": 855
1238
+ },
1239
+ {
1240
+ "epoch": 3.0659536541889483,
1241
+ "grad_norm": 0.6015625,
1242
+ "learning_rate": 0.00017497812029677344,
1243
+ "loss": 0.6274,
1244
+ "step": 860
1245
+ },
1246
+ {
1247
+ "epoch": 3.0837789661319075,
1248
+ "grad_norm": 0.8984375,
1249
+ "learning_rate": 0.00017456421648831655,
1250
+ "loss": 0.6126,
1251
+ "step": 865
1252
+ },
1253
+ {
1254
+ "epoch": 3.1016042780748663,
1255
+ "grad_norm": 0.80859375,
1256
+ "learning_rate": 0.00017414741555158266,
1257
+ "loss": 0.632,
1258
+ "step": 870
1259
+ },
1260
+ {
1261
+ "epoch": 3.1194295900178255,
1262
+ "grad_norm": 0.9765625,
1263
+ "learning_rate": 0.0001737277336810124,
1264
+ "loss": 0.6282,
1265
+ "step": 875
1266
+ },
1267
+ {
1268
+ "epoch": 3.1372549019607843,
1269
+ "grad_norm": 0.546875,
1270
+ "learning_rate": 0.00017330518718298264,
1271
+ "loss": 0.6381,
1272
+ "step": 880
1273
+ },
1274
+ {
1275
+ "epoch": 3.1550802139037435,
1276
+ "grad_norm": 0.84765625,
1277
+ "learning_rate": 0.00017287979247517286,
1278
+ "loss": 0.6231,
1279
+ "step": 885
1280
+ },
1281
+ {
1282
+ "epoch": 3.1729055258467023,
1283
+ "grad_norm": 0.5703125,
1284
+ "learning_rate": 0.00017245156608592727,
1285
+ "loss": 0.619,
1286
+ "step": 890
1287
+ },
1288
+ {
1289
+ "epoch": 3.1907308377896615,
1290
+ "grad_norm": 0.5078125,
1291
+ "learning_rate": 0.00017202052465361268,
1292
+ "loss": 0.6245,
1293
+ "step": 895
1294
+ },
1295
+ {
1296
+ "epoch": 3.2085561497326203,
1297
+ "grad_norm": 0.56640625,
1298
+ "learning_rate": 0.00017158668492597186,
1299
+ "loss": 0.626,
1300
+ "step": 900
1301
+ },
1302
+ {
1303
+ "epoch": 3.2263814616755795,
1304
+ "grad_norm": 0.89453125,
1305
+ "learning_rate": 0.00017115006375947303,
1306
+ "loss": 0.6136,
1307
+ "step": 905
1308
+ },
1309
+ {
1310
+ "epoch": 3.2442067736185383,
1311
+ "grad_norm": 0.58984375,
1312
+ "learning_rate": 0.00017071067811865476,
1313
+ "loss": 0.631,
1314
+ "step": 910
1315
+ },
1316
+ {
1317
+ "epoch": 3.2620320855614975,
1318
+ "grad_norm": 0.57421875,
1319
+ "learning_rate": 0.00017026854507546692,
1320
+ "loss": 0.6254,
1321
+ "step": 915
1322
+ },
1323
+ {
1324
+ "epoch": 3.2798573975044563,
1325
+ "grad_norm": 0.484375,
1326
+ "learning_rate": 0.00016982368180860728,
1327
+ "loss": 0.6268,
1328
+ "step": 920
1329
+ },
1330
+ {
1331
+ "epoch": 3.2976827094474155,
1332
+ "grad_norm": 0.54296875,
1333
+ "learning_rate": 0.00016937610560285418,
1334
+ "loss": 0.6283,
1335
+ "step": 925
1336
+ },
1337
+ {
1338
+ "epoch": 3.3155080213903743,
1339
+ "grad_norm": 0.50390625,
1340
+ "learning_rate": 0.0001689258338483947,
1341
+ "loss": 0.6185,
1342
+ "step": 930
1343
+ },
1344
+ {
1345
+ "epoch": 3.3333333333333335,
1346
+ "grad_norm": 0.451171875,
1347
+ "learning_rate": 0.00016847288404014935,
1348
+ "loss": 0.6363,
1349
+ "step": 935
1350
+ },
1351
+ {
1352
+ "epoch": 3.3511586452762923,
1353
+ "grad_norm": 0.5234375,
1354
+ "learning_rate": 0.00016801727377709194,
1355
+ "loss": 0.6231,
1356
+ "step": 940
1357
+ },
1358
+ {
1359
+ "epoch": 3.3689839572192515,
1360
+ "grad_norm": 0.73046875,
1361
+ "learning_rate": 0.00016755902076156604,
1362
+ "loss": 0.6178,
1363
+ "step": 945
1364
+ },
1365
+ {
1366
+ "epoch": 3.3868092691622103,
1367
+ "grad_norm": 0.67578125,
1368
+ "learning_rate": 0.00016709814279859702,
1369
+ "loss": 0.6196,
1370
+ "step": 950
1371
+ },
1372
+ {
1373
+ "epoch": 3.4046345811051695,
1374
+ "grad_norm": 0.5390625,
1375
+ "learning_rate": 0.0001666346577952004,
1376
+ "loss": 0.6196,
1377
+ "step": 955
1378
+ },
1379
+ {
1380
+ "epoch": 3.4224598930481283,
1381
+ "grad_norm": 0.5625,
1382
+ "learning_rate": 0.00016616858375968595,
1383
+ "loss": 0.6329,
1384
+ "step": 960
1385
+ },
1386
+ {
1387
+ "epoch": 3.4402852049910875,
1388
+ "grad_norm": 1.03125,
1389
+ "learning_rate": 0.00016569993880095806,
1390
+ "loss": 0.631,
1391
+ "step": 965
1392
+ },
1393
+ {
1394
+ "epoch": 3.4581105169340463,
1395
+ "grad_norm": 1.28125,
1396
+ "learning_rate": 0.00016522874112781213,
1397
+ "loss": 0.6481,
1398
+ "step": 970
1399
+ },
1400
+ {
1401
+ "epoch": 3.4759358288770055,
1402
+ "grad_norm": 1.0078125,
1403
+ "learning_rate": 0.00016475500904822706,
1404
+ "loss": 0.6349,
1405
+ "step": 975
1406
+ },
1407
+ {
1408
+ "epoch": 3.4937611408199643,
1409
+ "grad_norm": 0.6953125,
1410
+ "learning_rate": 0.00016427876096865394,
1411
+ "loss": 0.6409,
1412
+ "step": 980
1413
+ },
1414
+ {
1415
+ "epoch": 3.5115864527629235,
1416
+ "grad_norm": 1.265625,
1417
+ "learning_rate": 0.0001638000153933009,
1418
+ "loss": 0.6424,
1419
+ "step": 985
1420
+ },
1421
+ {
1422
+ "epoch": 3.5294117647058822,
1423
+ "grad_norm": 0.79296875,
1424
+ "learning_rate": 0.000163318790923414,
1425
+ "loss": 0.6337,
1426
+ "step": 990
1427
+ },
1428
+ {
1429
+ "epoch": 3.5472370766488415,
1430
+ "grad_norm": 1.7734375,
1431
+ "learning_rate": 0.00016283510625655472,
1432
+ "loss": 0.6283,
1433
+ "step": 995
1434
+ },
1435
+ {
1436
+ "epoch": 3.5650623885918002,
1437
+ "grad_norm": 1.5078125,
1438
+ "learning_rate": 0.00016234898018587337,
1439
+ "loss": 0.6275,
1440
+ "step": 1000
1441
+ },
1442
+ {
1443
+ "epoch": 3.5828877005347595,
1444
+ "grad_norm": 1.125,
1445
+ "learning_rate": 0.00016186043159937882,
1446
+ "loss": 0.6319,
1447
+ "step": 1005
1448
+ },
1449
+ {
1450
+ "epoch": 3.6007130124777182,
1451
+ "grad_norm": 0.92578125,
1452
+ "learning_rate": 0.00016136947947920476,
1453
+ "loss": 0.6268,
1454
+ "step": 1010
1455
+ },
1456
+ {
1457
+ "epoch": 3.6185383244206775,
1458
+ "grad_norm": 0.5859375,
1459
+ "learning_rate": 0.00016087614290087208,
1460
+ "loss": 0.6329,
1461
+ "step": 1015
1462
+ },
1463
+ {
1464
+ "epoch": 3.6363636363636362,
1465
+ "grad_norm": 0.7734375,
1466
+ "learning_rate": 0.00016038044103254775,
1467
+ "loss": 0.6183,
1468
+ "step": 1020
1469
+ },
1470
+ {
1471
+ "epoch": 3.6541889483065955,
1472
+ "grad_norm": 0.84375,
1473
+ "learning_rate": 0.00015988239313430004,
1474
+ "loss": 0.6359,
1475
+ "step": 1025
1476
+ },
1477
+ {
1478
+ "epoch": 3.6720142602495542,
1479
+ "grad_norm": 0.578125,
1480
+ "learning_rate": 0.00015938201855735014,
1481
+ "loss": 0.6376,
1482
+ "step": 1030
1483
+ },
1484
+ {
1485
+ "epoch": 3.6898395721925135,
1486
+ "grad_norm": 0.734375,
1487
+ "learning_rate": 0.00015887933674332046,
1488
+ "loss": 0.6314,
1489
+ "step": 1035
1490
+ },
1491
+ {
1492
+ "epoch": 3.7076648841354722,
1493
+ "grad_norm": 0.75390625,
1494
+ "learning_rate": 0.000158374367223479,
1495
+ "loss": 0.631,
1496
+ "step": 1040
1497
+ },
1498
+ {
1499
+ "epoch": 3.7254901960784315,
1500
+ "grad_norm": 0.5078125,
1501
+ "learning_rate": 0.0001578671296179806,
1502
+ "loss": 0.6348,
1503
+ "step": 1045
1504
+ },
1505
+ {
1506
+ "epoch": 3.7433155080213902,
1507
+ "grad_norm": 0.75,
1508
+ "learning_rate": 0.0001573576436351046,
1509
+ "loss": 0.6371,
1510
+ "step": 1050
1511
+ },
1512
+ {
1513
+ "epoch": 3.7611408199643495,
1514
+ "grad_norm": 1.6953125,
1515
+ "learning_rate": 0.00015684592907048926,
1516
+ "loss": 0.6365,
1517
+ "step": 1055
1518
+ },
1519
+ {
1520
+ "epoch": 3.7789661319073082,
1521
+ "grad_norm": 1.15625,
1522
+ "learning_rate": 0.0001563320058063622,
1523
+ "loss": 0.6477,
1524
+ "step": 1060
1525
+ },
1526
+ {
1527
+ "epoch": 3.7967914438502675,
1528
+ "grad_norm": 1.015625,
1529
+ "learning_rate": 0.0001558158938107684,
1530
+ "loss": 0.6472,
1531
+ "step": 1065
1532
+ },
1533
+ {
1534
+ "epoch": 3.8146167557932262,
1535
+ "grad_norm": 1.0234375,
1536
+ "learning_rate": 0.00015529761313679393,
1537
+ "loss": 0.6352,
1538
+ "step": 1070
1539
+ },
1540
+ {
1541
+ "epoch": 3.8324420677361855,
1542
+ "grad_norm": 0.73828125,
1543
+ "learning_rate": 0.00015477718392178716,
1544
+ "loss": 0.6299,
1545
+ "step": 1075
1546
+ },
1547
+ {
1548
+ "epoch": 3.8502673796791442,
1549
+ "grad_norm": 1.0390625,
1550
+ "learning_rate": 0.00015425462638657595,
1551
+ "loss": 0.6255,
1552
+ "step": 1080
1553
+ },
1554
+ {
1555
+ "epoch": 3.8680926916221035,
1556
+ "grad_norm": 1.171875,
1557
+ "learning_rate": 0.0001537299608346824,
1558
+ "loss": 0.6318,
1559
+ "step": 1085
1560
+ },
1561
+ {
1562
+ "epoch": 3.8859180035650622,
1563
+ "grad_norm": 0.62890625,
1564
+ "learning_rate": 0.00015320320765153367,
1565
+ "loss": 0.6308,
1566
+ "step": 1090
1567
+ },
1568
+ {
1569
+ "epoch": 3.9037433155080214,
1570
+ "grad_norm": 0.73046875,
1571
+ "learning_rate": 0.0001526743873036701,
1572
+ "loss": 0.6436,
1573
+ "step": 1095
1574
+ },
1575
+ {
1576
+ "epoch": 3.9215686274509802,
1577
+ "grad_norm": 1.546875,
1578
+ "learning_rate": 0.0001521435203379498,
1579
+ "loss": 0.6412,
1580
+ "step": 1100
1581
+ },
1582
+ {
1583
+ "epoch": 3.9393939393939394,
1584
+ "grad_norm": 0.56640625,
1585
+ "learning_rate": 0.00015161062738075067,
1586
+ "loss": 0.6399,
1587
+ "step": 1105
1588
+ },
1589
+ {
1590
+ "epoch": 3.9572192513368982,
1591
+ "grad_norm": 0.859375,
1592
+ "learning_rate": 0.00015107572913716858,
1593
+ "loss": 0.631,
1594
+ "step": 1110
1595
+ },
1596
+ {
1597
+ "epoch": 3.9750445632798574,
1598
+ "grad_norm": 0.6171875,
1599
+ "learning_rate": 0.0001505388463902131,
1600
+ "loss": 0.6188,
1601
+ "step": 1115
1602
+ },
1603
+ {
1604
+ "epoch": 3.9928698752228167,
1605
+ "grad_norm": 0.546875,
1606
+ "learning_rate": 0.00015000000000000001,
1607
+ "loss": 0.6439,
1608
+ "step": 1120
1609
+ },
1610
+ {
1611
+ "epoch": 4.0,
1612
+ "eval_loss": 2.214867115020752,
1613
+ "eval_runtime": 1.0238,
1614
+ "eval_samples_per_second": 4.884,
1615
+ "eval_steps_per_second": 1.954,
1616
+ "step": 1122
1617
+ },
1618
+ {
1619
+ "epoch": 4.010695187165775,
1620
+ "grad_norm": 0.609375,
1621
+ "learning_rate": 0.00014945921090294076,
1622
+ "loss": 0.5755,
1623
+ "step": 1125
1624
+ },
1625
+ {
1626
+ "epoch": 4.028520499108734,
1627
+ "grad_norm": 0.80078125,
1628
+ "learning_rate": 0.00014891650011092896,
1629
+ "loss": 0.5648,
1630
+ "step": 1130
1631
+ },
1632
+ {
1633
+ "epoch": 4.046345811051693,
1634
+ "grad_norm": 1.2265625,
1635
+ "learning_rate": 0.000148371888710524,
1636
+ "loss": 0.5641,
1637
+ "step": 1135
1638
+ },
1639
+ {
1640
+ "epoch": 4.064171122994653,
1641
+ "grad_norm": 0.64453125,
1642
+ "learning_rate": 0.00014782539786213183,
1643
+ "loss": 0.5618,
1644
+ "step": 1140
1645
+ },
1646
+ {
1647
+ "epoch": 4.081996434937611,
1648
+ "grad_norm": 0.79296875,
1649
+ "learning_rate": 0.0001472770487991827,
1650
+ "loss": 0.5628,
1651
+ "step": 1145
1652
+ },
1653
+ {
1654
+ "epoch": 4.09982174688057,
1655
+ "grad_norm": 0.69140625,
1656
+ "learning_rate": 0.0001467268628273062,
1657
+ "loss": 0.558,
1658
+ "step": 1150
1659
+ },
1660
+ {
1661
+ "epoch": 4.117647058823529,
1662
+ "grad_norm": 0.83203125,
1663
+ "learning_rate": 0.00014617486132350343,
1664
+ "loss": 0.5556,
1665
+ "step": 1155
1666
+ },
1667
+ {
1668
+ "epoch": 4.135472370766489,
1669
+ "grad_norm": 1.171875,
1670
+ "learning_rate": 0.0001456210657353163,
1671
+ "loss": 0.565,
1672
+ "step": 1160
1673
+ },
1674
+ {
1675
+ "epoch": 4.153297682709447,
1676
+ "grad_norm": 0.91796875,
1677
+ "learning_rate": 0.00014506549757999454,
1678
+ "loss": 0.5682,
1679
+ "step": 1165
1680
+ },
1681
+ {
1682
+ "epoch": 4.171122994652406,
1683
+ "grad_norm": 0.98046875,
1684
+ "learning_rate": 0.00014450817844365921,
1685
+ "loss": 0.5699,
1686
+ "step": 1170
1687
+ },
1688
+ {
1689
+ "epoch": 4.188948306595365,
1690
+ "grad_norm": 1.0625,
1691
+ "learning_rate": 0.0001439491299804645,
1692
+ "loss": 0.5665,
1693
+ "step": 1175
1694
+ },
1695
+ {
1696
+ "epoch": 4.206773618538325,
1697
+ "grad_norm": 1.15625,
1698
+ "learning_rate": 0.00014338837391175582,
1699
+ "loss": 0.5795,
1700
+ "step": 1180
1701
+ },
1702
+ {
1703
+ "epoch": 4.224598930481283,
1704
+ "grad_norm": 0.8828125,
1705
+ "learning_rate": 0.00014282593202522627,
1706
+ "loss": 0.5707,
1707
+ "step": 1185
1708
+ },
1709
+ {
1710
+ "epoch": 4.242424242424242,
1711
+ "grad_norm": 0.765625,
1712
+ "learning_rate": 0.00014226182617406996,
1713
+ "loss": 0.5649,
1714
+ "step": 1190
1715
+ },
1716
+ {
1717
+ "epoch": 4.260249554367201,
1718
+ "grad_norm": 0.7265625,
1719
+ "learning_rate": 0.00014169607827613283,
1720
+ "loss": 0.5594,
1721
+ "step": 1195
1722
+ },
1723
+ {
1724
+ "epoch": 4.278074866310161,
1725
+ "grad_norm": 0.99609375,
1726
+ "learning_rate": 0.00014112871031306119,
1727
+ "loss": 0.5871,
1728
+ "step": 1200
1729
+ },
1730
+ {
1731
+ "epoch": 4.295900178253119,
1732
+ "grad_norm": 0.96875,
1733
+ "learning_rate": 0.00014055974432944753,
1734
+ "loss": 0.5714,
1735
+ "step": 1205
1736
+ },
1737
+ {
1738
+ "epoch": 4.313725490196078,
1739
+ "grad_norm": 1.359375,
1740
+ "learning_rate": 0.00013998920243197407,
1741
+ "loss": 0.5731,
1742
+ "step": 1210
1743
+ },
1744
+ {
1745
+ "epoch": 4.331550802139038,
1746
+ "grad_norm": 1.109375,
1747
+ "learning_rate": 0.00013941710678855396,
1748
+ "loss": 0.5717,
1749
+ "step": 1215
1750
+ },
1751
+ {
1752
+ "epoch": 4.349376114081997,
1753
+ "grad_norm": 1.109375,
1754
+ "learning_rate": 0.00013884347962746948,
1755
+ "loss": 0.5773,
1756
+ "step": 1220
1757
+ },
1758
+ {
1759
+ "epoch": 4.367201426024955,
1760
+ "grad_norm": 1.2265625,
1761
+ "learning_rate": 0.000138268343236509,
1762
+ "loss": 0.5818,
1763
+ "step": 1225
1764
+ },
1765
+ {
1766
+ "epoch": 4.385026737967914,
1767
+ "grad_norm": 1.234375,
1768
+ "learning_rate": 0.00013769171996210052,
1769
+ "loss": 0.5575,
1770
+ "step": 1230
1771
+ },
1772
+ {
1773
+ "epoch": 4.402852049910873,
1774
+ "grad_norm": 0.796875,
1775
+ "learning_rate": 0.00013711363220844379,
1776
+ "loss": 0.5638,
1777
+ "step": 1235
1778
+ },
1779
+ {
1780
+ "epoch": 4.420677361853833,
1781
+ "grad_norm": 0.625,
1782
+ "learning_rate": 0.00013653410243663952,
1783
+ "loss": 0.5702,
1784
+ "step": 1240
1785
+ },
1786
+ {
1787
+ "epoch": 4.438502673796791,
1788
+ "grad_norm": 0.55078125,
1789
+ "learning_rate": 0.00013595315316381677,
1790
+ "loss": 0.5773,
1791
+ "step": 1245
1792
+ },
1793
+ {
1794
+ "epoch": 4.45632798573975,
1795
+ "grad_norm": 0.73828125,
1796
+ "learning_rate": 0.00013537080696225814,
1797
+ "loss": 0.5686,
1798
+ "step": 1250
1799
+ },
1800
+ {
1801
+ "epoch": 4.47415329768271,
1802
+ "grad_norm": 0.80859375,
1803
+ "learning_rate": 0.00013478708645852272,
1804
+ "loss": 0.5714,
1805
+ "step": 1255
1806
+ },
1807
+ {
1808
+ "epoch": 4.491978609625669,
1809
+ "grad_norm": 0.76953125,
1810
+ "learning_rate": 0.00013420201433256689,
1811
+ "loss": 0.5718,
1812
+ "step": 1260
1813
+ },
1814
+ {
1815
+ "epoch": 4.509803921568627,
1816
+ "grad_norm": 1.09375,
1817
+ "learning_rate": 0.0001336156133168631,
1818
+ "loss": 0.5846,
1819
+ "step": 1265
1820
+ },
1821
+ {
1822
+ "epoch": 4.527629233511586,
1823
+ "grad_norm": 0.7734375,
1824
+ "learning_rate": 0.00013302790619551674,
1825
+ "loss": 0.5761,
1826
+ "step": 1270
1827
+ },
1828
+ {
1829
+ "epoch": 4.545454545454545,
1830
+ "grad_norm": 0.609375,
1831
+ "learning_rate": 0.00013243891580338072,
1832
+ "loss": 0.5737,
1833
+ "step": 1275
1834
+ },
1835
+ {
1836
+ "epoch": 4.563279857397505,
1837
+ "grad_norm": 0.56640625,
1838
+ "learning_rate": 0.00013184866502516845,
1839
+ "loss": 0.5854,
1840
+ "step": 1280
1841
+ },
1842
+ {
1843
+ "epoch": 4.581105169340463,
1844
+ "grad_norm": 0.57421875,
1845
+ "learning_rate": 0.00013125717679456447,
1846
+ "loss": 0.589,
1847
+ "step": 1285
1848
+ },
1849
+ {
1850
+ "epoch": 4.598930481283422,
1851
+ "grad_norm": 0.90234375,
1852
+ "learning_rate": 0.00013066447409333345,
1853
+ "loss": 0.5706,
1854
+ "step": 1290
1855
+ },
1856
+ {
1857
+ "epoch": 4.616755793226382,
1858
+ "grad_norm": 0.5390625,
1859
+ "learning_rate": 0.00013007057995042732,
1860
+ "loss": 0.5733,
1861
+ "step": 1295
1862
+ },
1863
+ {
1864
+ "epoch": 4.634581105169341,
1865
+ "grad_norm": 0.54296875,
1866
+ "learning_rate": 0.00012947551744109043,
1867
+ "loss": 0.5871,
1868
+ "step": 1300
1869
+ },
1870
+ {
1871
+ "epoch": 4.652406417112299,
1872
+ "grad_norm": 0.51171875,
1873
+ "learning_rate": 0.000128879309685963,
1874
+ "loss": 0.5843,
1875
+ "step": 1305
1876
+ },
1877
+ {
1878
+ "epoch": 4.670231729055258,
1879
+ "grad_norm": 0.75390625,
1880
+ "learning_rate": 0.00012828197985018276,
1881
+ "loss": 0.5677,
1882
+ "step": 1310
1883
+ },
1884
+ {
1885
+ "epoch": 4.688057040998218,
1886
+ "grad_norm": 0.6015625,
1887
+ "learning_rate": 0.00012768355114248494,
1888
+ "loss": 0.5654,
1889
+ "step": 1315
1890
+ },
1891
+ {
1892
+ "epoch": 4.705882352941177,
1893
+ "grad_norm": 0.58984375,
1894
+ "learning_rate": 0.00012708404681430053,
1895
+ "loss": 0.5741,
1896
+ "step": 1320
1897
+ },
1898
+ {
1899
+ "epoch": 4.723707664884135,
1900
+ "grad_norm": 0.58984375,
1901
+ "learning_rate": 0.00012648349015885273,
1902
+ "loss": 0.5678,
1903
+ "step": 1325
1904
+ },
1905
+ {
1906
+ "epoch": 4.741532976827094,
1907
+ "grad_norm": 0.70703125,
1908
+ "learning_rate": 0.00012588190451025207,
1909
+ "loss": 0.5756,
1910
+ "step": 1330
1911
+ },
1912
+ {
1913
+ "epoch": 4.759358288770054,
1914
+ "grad_norm": 0.625,
1915
+ "learning_rate": 0.00012527931324258975,
1916
+ "loss": 0.572,
1917
+ "step": 1335
1918
+ },
1919
+ {
1920
+ "epoch": 4.777183600713013,
1921
+ "grad_norm": 0.5703125,
1922
+ "learning_rate": 0.00012467573976902935,
1923
+ "loss": 0.5911,
1924
+ "step": 1340
1925
+ },
1926
+ {
1927
+ "epoch": 4.795008912655971,
1928
+ "grad_norm": 0.4765625,
1929
+ "learning_rate": 0.00012407120754089732,
1930
+ "loss": 0.5817,
1931
+ "step": 1345
1932
+ },
1933
+ {
1934
+ "epoch": 4.81283422459893,
1935
+ "grad_norm": 0.53515625,
1936
+ "learning_rate": 0.00012346574004677154,
1937
+ "loss": 0.5788,
1938
+ "step": 1350
1939
+ },
1940
+ {
1941
+ "epoch": 4.83065953654189,
1942
+ "grad_norm": 0.53125,
1943
+ "learning_rate": 0.00012285936081156897,
1944
+ "loss": 0.5816,
1945
+ "step": 1355
1946
+ },
1947
+ {
1948
+ "epoch": 4.848484848484849,
1949
+ "grad_norm": 0.53515625,
1950
+ "learning_rate": 0.00012225209339563145,
1951
+ "loss": 0.5847,
1952
+ "step": 1360
1953
+ },
1954
+ {
1955
+ "epoch": 4.866310160427807,
1956
+ "grad_norm": 0.5859375,
1957
+ "learning_rate": 0.00012164396139381029,
1958
+ "loss": 0.5869,
1959
+ "step": 1365
1960
+ },
1961
+ {
1962
+ "epoch": 4.884135472370766,
1963
+ "grad_norm": 0.82421875,
1964
+ "learning_rate": 0.00012103498843454959,
1965
+ "loss": 0.5827,
1966
+ "step": 1370
1967
+ },
1968
+ {
1969
+ "epoch": 4.901960784313726,
1970
+ "grad_norm": 0.5703125,
1971
+ "learning_rate": 0.00012042519817896804,
1972
+ "loss": 0.576,
1973
+ "step": 1375
1974
+ },
1975
+ {
1976
+ "epoch": 4.919786096256685,
1977
+ "grad_norm": 0.5546875,
1978
+ "learning_rate": 0.00011981461431993977,
1979
+ "loss": 0.5958,
1980
+ "step": 1380
1981
+ },
1982
+ {
1983
+ "epoch": 4.937611408199643,
1984
+ "grad_norm": 0.52734375,
1985
+ "learning_rate": 0.00011920326058117364,
1986
+ "loss": 0.585,
1987
+ "step": 1385
1988
+ },
1989
+ {
1990
+ "epoch": 4.955436720142602,
1991
+ "grad_norm": 0.96875,
1992
+ "learning_rate": 0.00011859116071629149,
1993
+ "loss": 0.5904,
1994
+ "step": 1390
1995
+ },
1996
+ {
1997
+ "epoch": 4.973262032085562,
1998
+ "grad_norm": 0.57421875,
1999
+ "learning_rate": 0.00011797833850790527,
2000
+ "loss": 0.5828,
2001
+ "step": 1395
2002
+ },
2003
+ {
2004
+ "epoch": 4.991087344028521,
2005
+ "grad_norm": 0.57421875,
2006
+ "learning_rate": 0.00011736481776669306,
2007
+ "loss": 0.569,
2008
+ "step": 1400
2009
+ },
2010
+ {
2011
+ "epoch": 4.998217468805704,
2012
+ "eval_loss": 2.3224310874938965,
2013
+ "eval_runtime": 1.0378,
2014
+ "eval_samples_per_second": 4.818,
2015
+ "eval_steps_per_second": 1.927,
2016
+ "step": 1402
2017
+ },
2018
+ {
2019
+ "epoch": 5.008912655971479,
2020
+ "grad_norm": 0.54296875,
2021
+ "learning_rate": 0.00011675062233047364,
2022
+ "loss": 0.5598,
2023
+ "step": 1405
2024
+ },
2025
+ {
2026
+ "epoch": 5.026737967914438,
2027
+ "grad_norm": 0.78515625,
2028
+ "learning_rate": 0.00011613577606328068,
2029
+ "loss": 0.5118,
2030
+ "step": 1410
2031
+ },
2032
+ {
2033
+ "epoch": 5.044563279857398,
2034
+ "grad_norm": 0.59765625,
2035
+ "learning_rate": 0.00011552030285443515,
2036
+ "loss": 0.5109,
2037
+ "step": 1415
2038
+ },
2039
+ {
2040
+ "epoch": 5.062388591800357,
2041
+ "grad_norm": 0.57421875,
2042
+ "learning_rate": 0.00011490422661761744,
2043
+ "loss": 0.5033,
2044
+ "step": 1420
2045
+ },
2046
+ {
2047
+ "epoch": 5.080213903743315,
2048
+ "grad_norm": 0.578125,
2049
+ "learning_rate": 0.00011428757128993802,
2050
+ "loss": 0.5113,
2051
+ "step": 1425
2052
+ },
2053
+ {
2054
+ "epoch": 5.098039215686274,
2055
+ "grad_norm": 0.83984375,
2056
+ "learning_rate": 0.00011367036083100735,
2057
+ "loss": 0.4987,
2058
+ "step": 1430
2059
+ },
2060
+ {
2061
+ "epoch": 5.115864527629234,
2062
+ "grad_norm": 0.69140625,
2063
+ "learning_rate": 0.00011305261922200519,
2064
+ "loss": 0.5111,
2065
+ "step": 1435
2066
+ },
2067
+ {
2068
+ "epoch": 5.133689839572193,
2069
+ "grad_norm": 0.65234375,
2070
+ "learning_rate": 0.00011243437046474853,
2071
+ "loss": 0.5186,
2072
+ "step": 1440
2073
+ },
2074
+ {
2075
+ "epoch": 5.151515151515151,
2076
+ "grad_norm": 0.7109375,
2077
+ "learning_rate": 0.0001118156385807593,
2078
+ "loss": 0.5054,
2079
+ "step": 1445
2080
+ },
2081
+ {
2082
+ "epoch": 5.16934046345811,
2083
+ "grad_norm": 0.55859375,
2084
+ "learning_rate": 0.00011119644761033078,
2085
+ "loss": 0.5073,
2086
+ "step": 1450
2087
+ },
2088
+ {
2089
+ "epoch": 5.18716577540107,
2090
+ "grad_norm": 0.66015625,
2091
+ "learning_rate": 0.00011057682161159379,
2092
+ "loss": 0.5298,
2093
+ "step": 1455
2094
+ },
2095
+ {
2096
+ "epoch": 5.204991087344029,
2097
+ "grad_norm": 0.59765625,
2098
+ "learning_rate": 0.00010995678465958168,
2099
+ "loss": 0.504,
2100
+ "step": 1460
2101
+ },
2102
+ {
2103
+ "epoch": 5.222816399286987,
2104
+ "grad_norm": 0.5625,
2105
+ "learning_rate": 0.00010933636084529506,
2106
+ "loss": 0.5361,
2107
+ "step": 1465
2108
+ },
2109
+ {
2110
+ "epoch": 5.240641711229946,
2111
+ "grad_norm": 0.6171875,
2112
+ "learning_rate": 0.00010871557427476583,
2113
+ "loss": 0.521,
2114
+ "step": 1470
2115
+ },
2116
+ {
2117
+ "epoch": 5.258467023172906,
2118
+ "grad_norm": 0.66015625,
2119
+ "learning_rate": 0.00010809444906812033,
2120
+ "loss": 0.522,
2121
+ "step": 1475
2122
+ },
2123
+ {
2124
+ "epoch": 5.276292335115865,
2125
+ "grad_norm": 0.859375,
2126
+ "learning_rate": 0.00010747300935864243,
2127
+ "loss": 0.5188,
2128
+ "step": 1480
2129
+ },
2130
+ {
2131
+ "epoch": 5.294117647058823,
2132
+ "grad_norm": 0.78515625,
2133
+ "learning_rate": 0.00010685127929183567,
2134
+ "loss": 0.5203,
2135
+ "step": 1485
2136
+ },
2137
+ {
2138
+ "epoch": 5.311942959001782,
2139
+ "grad_norm": 0.62890625,
2140
+ "learning_rate": 0.00010622928302448523,
2141
+ "loss": 0.5182,
2142
+ "step": 1490
2143
+ },
2144
+ {
2145
+ "epoch": 5.329768270944742,
2146
+ "grad_norm": 0.5859375,
2147
+ "learning_rate": 0.00010560704472371919,
2148
+ "loss": 0.5317,
2149
+ "step": 1495
2150
+ },
2151
+ {
2152
+ "epoch": 5.347593582887701,
2153
+ "grad_norm": 0.75390625,
2154
+ "learning_rate": 0.00010498458856606972,
2155
+ "loss": 0.5186,
2156
+ "step": 1500
2157
+ },
2158
+ {
2159
+ "epoch": 5.365418894830659,
2160
+ "grad_norm": 0.63671875,
2161
+ "learning_rate": 0.00010436193873653361,
2162
+ "loss": 0.5155,
2163
+ "step": 1505
2164
+ },
2165
+ {
2166
+ "epoch": 5.383244206773618,
2167
+ "grad_norm": 0.80859375,
2168
+ "learning_rate": 0.0001037391194276326,
2169
+ "loss": 0.5198,
2170
+ "step": 1510
2171
+ },
2172
+ {
2173
+ "epoch": 5.401069518716578,
2174
+ "grad_norm": 0.62109375,
2175
+ "learning_rate": 0.00010311615483847332,
2176
+ "loss": 0.5184,
2177
+ "step": 1515
2178
+ },
2179
+ {
2180
+ "epoch": 5.418894830659537,
2181
+ "grad_norm": 0.59765625,
2182
+ "learning_rate": 0.0001024930691738073,
2183
+ "loss": 0.5256,
2184
+ "step": 1520
2185
+ },
2186
+ {
2187
+ "epoch": 5.436720142602495,
2188
+ "grad_norm": 0.66015625,
2189
+ "learning_rate": 0.00010186988664309023,
2190
+ "loss": 0.5203,
2191
+ "step": 1525
2192
+ },
2193
+ {
2194
+ "epoch": 5.454545454545454,
2195
+ "grad_norm": 0.7109375,
2196
+ "learning_rate": 0.00010124663145954152,
2197
+ "loss": 0.5166,
2198
+ "step": 1530
2199
+ },
2200
+ {
2201
+ "epoch": 5.472370766488414,
2202
+ "grad_norm": 0.62890625,
2203
+ "learning_rate": 0.00010062332783920336,
2204
+ "loss": 0.5168,
2205
+ "step": 1535
2206
+ },
2207
+ {
2208
+ "epoch": 5.490196078431373,
2209
+ "grad_norm": 0.70703125,
2210
+ "learning_rate": 0.0001,
2211
+ "loss": 0.5153,
2212
+ "step": 1540
2213
+ },
2214
+ {
2215
+ "epoch": 5.508021390374331,
2216
+ "grad_norm": 0.7109375,
2217
+ "learning_rate": 9.937667216079665e-05,
2218
+ "loss": 0.5308,
2219
+ "step": 1545
2220
+ },
2221
+ {
2222
+ "epoch": 5.52584670231729,
2223
+ "grad_norm": 0.609375,
2224
+ "learning_rate": 9.875336854045851e-05,
2225
+ "loss": 0.5148,
2226
+ "step": 1550
2227
+ },
2228
+ {
2229
+ "epoch": 5.54367201426025,
2230
+ "grad_norm": 0.6015625,
2231
+ "learning_rate": 9.813011335690981e-05,
2232
+ "loss": 0.5247,
2233
+ "step": 1555
2234
+ },
2235
+ {
2236
+ "epoch": 5.561497326203209,
2237
+ "grad_norm": 0.87890625,
2238
+ "learning_rate": 9.750693082619273e-05,
2239
+ "loss": 0.5219,
2240
+ "step": 1560
2241
+ },
2242
+ {
2243
+ "epoch": 5.579322638146167,
2244
+ "grad_norm": 0.71875,
2245
+ "learning_rate": 9.688384516152672e-05,
2246
+ "loss": 0.5213,
2247
+ "step": 1565
2248
+ },
2249
+ {
2250
+ "epoch": 5.597147950089127,
2251
+ "grad_norm": 0.734375,
2252
+ "learning_rate": 9.626088057236745e-05,
2253
+ "loss": 0.5279,
2254
+ "step": 1570
2255
+ },
2256
+ {
2257
+ "epoch": 5.614973262032086,
2258
+ "grad_norm": 0.69140625,
2259
+ "learning_rate": 9.563806126346642e-05,
2260
+ "loss": 0.5256,
2261
+ "step": 1575
2262
+ },
2263
+ {
2264
+ "epoch": 5.632798573975045,
2265
+ "grad_norm": 0.76171875,
2266
+ "learning_rate": 9.501541143393028e-05,
2267
+ "loss": 0.529,
2268
+ "step": 1580
2269
+ },
2270
+ {
2271
+ "epoch": 5.650623885918003,
2272
+ "grad_norm": 0.65234375,
2273
+ "learning_rate": 9.439295527628081e-05,
2274
+ "loss": 0.5163,
2275
+ "step": 1585
2276
+ },
2277
+ {
2278
+ "epoch": 5.668449197860962,
2279
+ "grad_norm": 0.5703125,
2280
+ "learning_rate": 9.37707169755148e-05,
2281
+ "loss": 0.5255,
2282
+ "step": 1590
2283
+ },
2284
+ {
2285
+ "epoch": 5.686274509803922,
2286
+ "grad_norm": 0.578125,
2287
+ "learning_rate": 9.314872070816434e-05,
2288
+ "loss": 0.5236,
2289
+ "step": 1595
2290
+ },
2291
+ {
2292
+ "epoch": 5.704099821746881,
2293
+ "grad_norm": 0.5703125,
2294
+ "learning_rate": 9.252699064135758e-05,
2295
+ "loss": 0.5272,
2296
+ "step": 1600
2297
+ },
2298
+ {
2299
+ "epoch": 5.721925133689839,
2300
+ "grad_norm": 0.546875,
2301
+ "learning_rate": 9.190555093187967e-05,
2302
+ "loss": 0.5276,
2303
+ "step": 1605
2304
+ },
2305
+ {
2306
+ "epoch": 5.739750445632799,
2307
+ "grad_norm": 0.58984375,
2308
+ "learning_rate": 9.128442572523417e-05,
2309
+ "loss": 0.519,
2310
+ "step": 1610
2311
+ },
2312
+ {
2313
+ "epoch": 5.757575757575758,
2314
+ "grad_norm": 0.58984375,
2315
+ "learning_rate": 9.066363915470495e-05,
2316
+ "loss": 0.5245,
2317
+ "step": 1615
2318
+ },
2319
+ {
2320
+ "epoch": 5.775401069518717,
2321
+ "grad_norm": 0.6640625,
2322
+ "learning_rate": 9.004321534041835e-05,
2323
+ "loss": 0.5296,
2324
+ "step": 1620
2325
+ },
2326
+ {
2327
+ "epoch": 5.793226381461675,
2328
+ "grad_norm": 0.578125,
2329
+ "learning_rate": 8.942317838840623e-05,
2330
+ "loss": 0.5191,
2331
+ "step": 1625
2332
+ },
2333
+ {
2334
+ "epoch": 5.811051693404634,
2335
+ "grad_norm": 0.6640625,
2336
+ "learning_rate": 8.880355238966923e-05,
2337
+ "loss": 0.5236,
2338
+ "step": 1630
2339
+ },
2340
+ {
2341
+ "epoch": 5.828877005347594,
2342
+ "grad_norm": 0.6875,
2343
+ "learning_rate": 8.818436141924072e-05,
2344
+ "loss": 0.5321,
2345
+ "step": 1635
2346
+ },
2347
+ {
2348
+ "epoch": 5.846702317290553,
2349
+ "grad_norm": 0.58203125,
2350
+ "learning_rate": 8.756562953525152e-05,
2351
+ "loss": 0.5367,
2352
+ "step": 1640
2353
+ },
2354
+ {
2355
+ "epoch": 5.864527629233511,
2356
+ "grad_norm": 0.55859375,
2357
+ "learning_rate": 8.694738077799488e-05,
2358
+ "loss": 0.5208,
2359
+ "step": 1645
2360
+ },
2361
+ {
2362
+ "epoch": 5.882352941176471,
2363
+ "grad_norm": 0.5703125,
2364
+ "learning_rate": 8.632963916899268e-05,
2365
+ "loss": 0.5223,
2366
+ "step": 1650
2367
+ },
2368
+ {
2369
+ "epoch": 5.90017825311943,
2370
+ "grad_norm": 0.5703125,
2371
+ "learning_rate": 8.571242871006202e-05,
2372
+ "loss": 0.5221,
2373
+ "step": 1655
2374
+ },
2375
+ {
2376
+ "epoch": 5.918003565062389,
2377
+ "grad_norm": 0.59375,
2378
+ "learning_rate": 8.509577338238255e-05,
2379
+ "loss": 0.5299,
2380
+ "step": 1660
2381
+ },
2382
+ {
2383
+ "epoch": 5.935828877005347,
2384
+ "grad_norm": 0.6328125,
2385
+ "learning_rate": 8.447969714556484e-05,
2386
+ "loss": 0.5341,
2387
+ "step": 1665
2388
+ },
2389
+ {
2390
+ "epoch": 5.953654188948306,
2391
+ "grad_norm": 0.71484375,
2392
+ "learning_rate": 8.386422393671933e-05,
2393
+ "loss": 0.524,
2394
+ "step": 1670
2395
+ },
2396
+ {
2397
+ "epoch": 5.971479500891266,
2398
+ "grad_norm": 0.56640625,
2399
+ "learning_rate": 8.324937766952638e-05,
2400
+ "loss": 0.5377,
2401
+ "step": 1675
2402
+ },
2403
+ {
2404
+ "epoch": 5.989304812834225,
2405
+ "grad_norm": 0.765625,
2406
+ "learning_rate": 8.263518223330697e-05,
2407
+ "loss": 0.5317,
2408
+ "step": 1680
2409
+ },
2410
+ {
2411
+ "epoch": 6.0,
2412
+ "eval_loss": 2.4839205741882324,
2413
+ "eval_runtime": 1.0218,
2414
+ "eval_samples_per_second": 4.893,
2415
+ "eval_steps_per_second": 1.957,
2416
+ "step": 1683
2417
+ },
2418
+ {
2419
+ "epoch": 6.007130124777183,
2420
+ "grad_norm": 0.6171875,
2421
+ "learning_rate": 8.202166149209474e-05,
2422
+ "loss": 0.4958,
2423
+ "step": 1685
2424
+ },
2425
+ {
2426
+ "epoch": 6.024955436720143,
2427
+ "grad_norm": 1.0703125,
2428
+ "learning_rate": 8.140883928370855e-05,
2429
+ "loss": 0.4602,
2430
+ "step": 1690
2431
+ },
2432
+ {
2433
+ "epoch": 6.042780748663102,
2434
+ "grad_norm": 0.63671875,
2435
+ "learning_rate": 8.07967394188264e-05,
2436
+ "loss": 0.4597,
2437
+ "step": 1695
2438
+ },
2439
+ {
2440
+ "epoch": 6.0606060606060606,
2441
+ "grad_norm": 0.91015625,
2442
+ "learning_rate": 8.018538568006027e-05,
2443
+ "loss": 0.4568,
2444
+ "step": 1700
2445
+ },
2446
+ {
2447
+ "epoch": 6.078431372549019,
2448
+ "grad_norm": 0.59375,
2449
+ "learning_rate": 7.957480182103198e-05,
2450
+ "loss": 0.4586,
2451
+ "step": 1705
2452
+ },
2453
+ {
2454
+ "epoch": 6.096256684491979,
2455
+ "grad_norm": 0.6640625,
2456
+ "learning_rate": 7.896501156545045e-05,
2457
+ "loss": 0.4695,
2458
+ "step": 1710
2459
+ },
2460
+ {
2461
+ "epoch": 6.114081996434938,
2462
+ "grad_norm": 0.64453125,
2463
+ "learning_rate": 7.835603860618972e-05,
2464
+ "loss": 0.4623,
2465
+ "step": 1715
2466
+ },
2467
+ {
2468
+ "epoch": 6.1319073083778965,
2469
+ "grad_norm": 0.6796875,
2470
+ "learning_rate": 7.774790660436858e-05,
2471
+ "loss": 0.4671,
2472
+ "step": 1720
2473
+ },
2474
+ {
2475
+ "epoch": 6.149732620320855,
2476
+ "grad_norm": 0.640625,
2477
+ "learning_rate": 7.714063918843106e-05,
2478
+ "loss": 0.4631,
2479
+ "step": 1725
2480
+ },
2481
+ {
2482
+ "epoch": 6.167557932263815,
2483
+ "grad_norm": 0.640625,
2484
+ "learning_rate": 7.653425995322851e-05,
2485
+ "loss": 0.4692,
2486
+ "step": 1730
2487
+ },
2488
+ {
2489
+ "epoch": 6.185383244206774,
2490
+ "grad_norm": 0.578125,
2491
+ "learning_rate": 7.592879245910273e-05,
2492
+ "loss": 0.468,
2493
+ "step": 1735
2494
+ },
2495
+ {
2496
+ "epoch": 6.2032085561497325,
2497
+ "grad_norm": 1.1328125,
2498
+ "learning_rate": 7.532426023097063e-05,
2499
+ "loss": 0.4651,
2500
+ "step": 1740
2501
+ },
2502
+ {
2503
+ "epoch": 6.221033868092691,
2504
+ "grad_norm": 0.58984375,
2505
+ "learning_rate": 7.472068675741025e-05,
2506
+ "loss": 0.4745,
2507
+ "step": 1745
2508
+ },
2509
+ {
2510
+ "epoch": 6.238859180035651,
2511
+ "grad_norm": 0.609375,
2512
+ "learning_rate": 7.411809548974792e-05,
2513
+ "loss": 0.4688,
2514
+ "step": 1750
2515
+ },
2516
+ {
2517
+ "epoch": 6.25668449197861,
2518
+ "grad_norm": 0.5859375,
2519
+ "learning_rate": 7.351650984114728e-05,
2520
+ "loss": 0.4645,
2521
+ "step": 1755
2522
+ },
2523
+ {
2524
+ "epoch": 6.2745098039215685,
2525
+ "grad_norm": 0.609375,
2526
+ "learning_rate": 7.291595318569951e-05,
2527
+ "loss": 0.4657,
2528
+ "step": 1760
2529
+ },
2530
+ {
2531
+ "epoch": 6.292335115864527,
2532
+ "grad_norm": 0.6484375,
2533
+ "learning_rate": 7.231644885751507e-05,
2534
+ "loss": 0.4659,
2535
+ "step": 1765
2536
+ },
2537
+ {
2538
+ "epoch": 6.310160427807487,
2539
+ "grad_norm": 0.87890625,
2540
+ "learning_rate": 7.171802014981726e-05,
2541
+ "loss": 0.4715,
2542
+ "step": 1770
2543
+ },
2544
+ {
2545
+ "epoch": 6.327985739750446,
2546
+ "grad_norm": 0.65234375,
2547
+ "learning_rate": 7.112069031403704e-05,
2548
+ "loss": 0.4681,
2549
+ "step": 1775
2550
+ },
2551
+ {
2552
+ "epoch": 6.3458110516934045,
2553
+ "grad_norm": 0.625,
2554
+ "learning_rate": 7.052448255890957e-05,
2555
+ "loss": 0.4625,
2556
+ "step": 1780
2557
+ },
2558
+ {
2559
+ "epoch": 6.363636363636363,
2560
+ "grad_norm": 0.69921875,
2561
+ "learning_rate": 6.992942004957271e-05,
2562
+ "loss": 0.4675,
2563
+ "step": 1785
2564
+ },
2565
+ {
2566
+ "epoch": 6.381461675579323,
2567
+ "grad_norm": 0.66015625,
2568
+ "learning_rate": 6.933552590666659e-05,
2569
+ "loss": 0.4713,
2570
+ "step": 1790
2571
+ },
2572
+ {
2573
+ "epoch": 6.399286987522282,
2574
+ "grad_norm": 0.57421875,
2575
+ "learning_rate": 6.874282320543557e-05,
2576
+ "loss": 0.4707,
2577
+ "step": 1795
2578
+ },
2579
+ {
2580
+ "epoch": 6.4171122994652405,
2581
+ "grad_norm": 0.625,
2582
+ "learning_rate": 6.815133497483157e-05,
2583
+ "loss": 0.4678,
2584
+ "step": 1800
2585
+ },
2586
+ {
2587
+ "epoch": 6.434937611408199,
2588
+ "grad_norm": 0.609375,
2589
+ "learning_rate": 6.756108419661931e-05,
2590
+ "loss": 0.4701,
2591
+ "step": 1805
2592
+ },
2593
+ {
2594
+ "epoch": 6.452762923351159,
2595
+ "grad_norm": 0.6484375,
2596
+ "learning_rate": 6.697209380448333e-05,
2597
+ "loss": 0.4721,
2598
+ "step": 1810
2599
+ },
2600
+ {
2601
+ "epoch": 6.470588235294118,
2602
+ "grad_norm": 0.67578125,
2603
+ "learning_rate": 6.638438668313695e-05,
2604
+ "loss": 0.4767,
2605
+ "step": 1815
2606
+ },
2607
+ {
2608
+ "epoch": 6.4884135472370765,
2609
+ "grad_norm": 0.68359375,
2610
+ "learning_rate": 6.579798566743314e-05,
2611
+ "loss": 0.4772,
2612
+ "step": 1820
2613
+ },
2614
+ {
2615
+ "epoch": 6.506238859180035,
2616
+ "grad_norm": 0.71875,
2617
+ "learning_rate": 6.521291354147727e-05,
2618
+ "loss": 0.4749,
2619
+ "step": 1825
2620
+ },
2621
+ {
2622
+ "epoch": 6.524064171122995,
2623
+ "grad_norm": 0.61328125,
2624
+ "learning_rate": 6.462919303774186e-05,
2625
+ "loss": 0.4686,
2626
+ "step": 1830
2627
+ },
2628
+ {
2629
+ "epoch": 6.541889483065954,
2630
+ "grad_norm": 0.609375,
2631
+ "learning_rate": 6.404684683618325e-05,
2632
+ "loss": 0.4761,
2633
+ "step": 1835
2634
+ },
2635
+ {
2636
+ "epoch": 6.5597147950089125,
2637
+ "grad_norm": 0.59765625,
2638
+ "learning_rate": 6.34658975633605e-05,
2639
+ "loss": 0.4785,
2640
+ "step": 1840
2641
+ },
2642
+ {
2643
+ "epoch": 6.577540106951871,
2644
+ "grad_norm": 0.64453125,
2645
+ "learning_rate": 6.288636779155621e-05,
2646
+ "loss": 0.473,
2647
+ "step": 1845
2648
+ },
2649
+ {
2650
+ "epoch": 6.595365418894831,
2651
+ "grad_norm": 0.609375,
2652
+ "learning_rate": 6.230828003789949e-05,
2653
+ "loss": 0.4684,
2654
+ "step": 1850
2655
+ },
2656
+ {
2657
+ "epoch": 6.61319073083779,
2658
+ "grad_norm": 0.63671875,
2659
+ "learning_rate": 6.173165676349103e-05,
2660
+ "loss": 0.4638,
2661
+ "step": 1855
2662
+ },
2663
+ {
2664
+ "epoch": 6.6310160427807485,
2665
+ "grad_norm": 0.58203125,
2666
+ "learning_rate": 6.115652037253053e-05,
2667
+ "loss": 0.473,
2668
+ "step": 1860
2669
+ },
2670
+ {
2671
+ "epoch": 6.648841354723707,
2672
+ "grad_norm": 0.6328125,
2673
+ "learning_rate": 6.058289321144608e-05,
2674
+ "loss": 0.4724,
2675
+ "step": 1865
2676
+ },
2677
+ {
2678
+ "epoch": 6.666666666666667,
2679
+ "grad_norm": 0.65625,
2680
+ "learning_rate": 6.001079756802592e-05,
2681
+ "loss": 0.4811,
2682
+ "step": 1870
2683
+ },
2684
+ {
2685
+ "epoch": 6.684491978609626,
2686
+ "grad_norm": 0.62890625,
2687
+ "learning_rate": 5.944025567055251e-05,
2688
+ "loss": 0.4698,
2689
+ "step": 1875
2690
+ },
2691
+ {
2692
+ "epoch": 6.7023172905525845,
2693
+ "grad_norm": 0.69140625,
2694
+ "learning_rate": 5.887128968693887e-05,
2695
+ "loss": 0.4789,
2696
+ "step": 1880
2697
+ },
2698
+ {
2699
+ "epoch": 6.720142602495543,
2700
+ "grad_norm": 0.6171875,
2701
+ "learning_rate": 5.830392172386723e-05,
2702
+ "loss": 0.459,
2703
+ "step": 1885
2704
+ },
2705
+ {
2706
+ "epoch": 6.737967914438503,
2707
+ "grad_norm": 0.625,
2708
+ "learning_rate": 5.773817382593008e-05,
2709
+ "loss": 0.4668,
2710
+ "step": 1890
2711
+ },
2712
+ {
2713
+ "epoch": 6.755793226381462,
2714
+ "grad_norm": 0.69140625,
2715
+ "learning_rate": 5.717406797477372e-05,
2716
+ "loss": 0.467,
2717
+ "step": 1895
2718
+ },
2719
+ {
2720
+ "epoch": 6.7736185383244205,
2721
+ "grad_norm": 0.65234375,
2722
+ "learning_rate": 5.6611626088244194e-05,
2723
+ "loss": 0.4729,
2724
+ "step": 1900
2725
+ },
2726
+ {
2727
+ "epoch": 6.791443850267379,
2728
+ "grad_norm": 0.6796875,
2729
+ "learning_rate": 5.6050870019535494e-05,
2730
+ "loss": 0.4677,
2731
+ "step": 1905
2732
+ },
2733
+ {
2734
+ "epoch": 6.809269162210339,
2735
+ "grad_norm": 0.66796875,
2736
+ "learning_rate": 5.549182155634076e-05,
2737
+ "loss": 0.4672,
2738
+ "step": 1910
2739
+ },
2740
+ {
2741
+ "epoch": 6.827094474153298,
2742
+ "grad_norm": 0.70703125,
2743
+ "learning_rate": 5.493450242000546e-05,
2744
+ "loss": 0.4764,
2745
+ "step": 1915
2746
+ },
2747
+ {
2748
+ "epoch": 6.8449197860962565,
2749
+ "grad_norm": 0.7109375,
2750
+ "learning_rate": 5.43789342646837e-05,
2751
+ "loss": 0.4708,
2752
+ "step": 1920
2753
+ },
2754
+ {
2755
+ "epoch": 6.862745098039216,
2756
+ "grad_norm": 0.66796875,
2757
+ "learning_rate": 5.382513867649663e-05,
2758
+ "loss": 0.4603,
2759
+ "step": 1925
2760
+ },
2761
+ {
2762
+ "epoch": 6.880570409982175,
2763
+ "grad_norm": 0.63671875,
2764
+ "learning_rate": 5.32731371726938e-05,
2765
+ "loss": 0.4689,
2766
+ "step": 1930
2767
+ },
2768
+ {
2769
+ "epoch": 6.898395721925134,
2770
+ "grad_norm": 0.67578125,
2771
+ "learning_rate": 5.272295120081732e-05,
2772
+ "loss": 0.4701,
2773
+ "step": 1935
2774
+ },
2775
+ {
2776
+ "epoch": 6.9162210338680925,
2777
+ "grad_norm": 0.62109375,
2778
+ "learning_rate": 5.217460213786821e-05,
2779
+ "loss": 0.472,
2780
+ "step": 1940
2781
+ },
2782
+ {
2783
+ "epoch": 6.934046345811051,
2784
+ "grad_norm": 0.60546875,
2785
+ "learning_rate": 5.162811128947602e-05,
2786
+ "loss": 0.4717,
2787
+ "step": 1945
2788
+ },
2789
+ {
2790
+ "epoch": 6.951871657754011,
2791
+ "grad_norm": 0.70703125,
2792
+ "learning_rate": 5.108349988907111e-05,
2793
+ "loss": 0.4766,
2794
+ "step": 1950
2795
+ },
2796
+ {
2797
+ "epoch": 6.96969696969697,
2798
+ "grad_norm": 0.6015625,
2799
+ "learning_rate": 5.054078909705926e-05,
2800
+ "loss": 0.465,
2801
+ "step": 1955
2802
+ },
2803
+ {
2804
+ "epoch": 6.9875222816399285,
2805
+ "grad_norm": 0.6640625,
2806
+ "learning_rate": 5.000000000000002e-05,
2807
+ "loss": 0.472,
2808
+ "step": 1960
2809
+ },
2810
+ {
2811
+ "epoch": 6.998217468805704,
2812
+ "eval_loss": 2.6540169715881348,
2813
+ "eval_runtime": 1.0444,
2814
+ "eval_samples_per_second": 4.787,
2815
+ "eval_steps_per_second": 1.915,
2816
+ "step": 1963
2817
+ },
2818
+ {
2819
+ "epoch": 7.005347593582887,
2820
+ "grad_norm": 0.5625,
2821
+ "learning_rate": 4.946115360978696e-05,
2822
+ "loss": 0.4574,
2823
+ "step": 1965
2824
+ },
2825
+ {
2826
+ "epoch": 7.023172905525847,
2827
+ "grad_norm": 0.6015625,
2828
+ "learning_rate": 4.892427086283147e-05,
2829
+ "loss": 0.4256,
2830
+ "step": 1970
2831
+ },
2832
+ {
2833
+ "epoch": 7.040998217468806,
2834
+ "grad_norm": 0.6875,
2835
+ "learning_rate": 4.8389372619249326e-05,
2836
+ "loss": 0.4282,
2837
+ "step": 1975
2838
+ },
2839
+ {
2840
+ "epoch": 7.0588235294117645,
2841
+ "grad_norm": 0.66796875,
2842
+ "learning_rate": 4.78564796620502e-05,
2843
+ "loss": 0.4247,
2844
+ "step": 1980
2845
+ },
2846
+ {
2847
+ "epoch": 7.076648841354723,
2848
+ "grad_norm": 0.6328125,
2849
+ "learning_rate": 4.732561269632992e-05,
2850
+ "loss": 0.4263,
2851
+ "step": 1985
2852
+ },
2853
+ {
2854
+ "epoch": 7.094474153297683,
2855
+ "grad_norm": 0.703125,
2856
+ "learning_rate": 4.6796792348466356e-05,
2857
+ "loss": 0.4238,
2858
+ "step": 1990
2859
+ },
2860
+ {
2861
+ "epoch": 7.112299465240642,
2862
+ "grad_norm": 0.67578125,
2863
+ "learning_rate": 4.6270039165317605e-05,
2864
+ "loss": 0.4357,
2865
+ "step": 1995
2866
+ },
2867
+ {
2868
+ "epoch": 7.1301247771836005,
2869
+ "grad_norm": 0.74609375,
2870
+ "learning_rate": 4.574537361342407e-05,
2871
+ "loss": 0.4243,
2872
+ "step": 2000
2873
+ },
2874
+ {
2875
+ "epoch": 7.14795008912656,
2876
+ "grad_norm": 0.6328125,
2877
+ "learning_rate": 4.522281607821288e-05,
2878
+ "loss": 0.4226,
2879
+ "step": 2005
2880
+ },
2881
+ {
2882
+ "epoch": 7.165775401069519,
2883
+ "grad_norm": 0.7109375,
2884
+ "learning_rate": 4.470238686320606e-05,
2885
+ "loss": 0.4256,
2886
+ "step": 2010
2887
+ },
2888
+ {
2889
+ "epoch": 7.183600713012478,
2890
+ "grad_norm": 0.58984375,
2891
+ "learning_rate": 4.4184106189231625e-05,
2892
+ "loss": 0.4238,
2893
+ "step": 2015
2894
+ },
2895
+ {
2896
+ "epoch": 7.2014260249554365,
2897
+ "grad_norm": 0.609375,
2898
+ "learning_rate": 4.3667994193637796e-05,
2899
+ "loss": 0.429,
2900
+ "step": 2020
2901
+ },
2902
+ {
2903
+ "epoch": 7.219251336898395,
2904
+ "grad_norm": 0.640625,
2905
+ "learning_rate": 4.315407092951078e-05,
2906
+ "loss": 0.4252,
2907
+ "step": 2025
2908
+ },
2909
+ {
2910
+ "epoch": 7.237076648841355,
2911
+ "grad_norm": 0.66015625,
2912
+ "learning_rate": 4.264235636489542e-05,
2913
+ "loss": 0.425,
2914
+ "step": 2030
2915
+ },
2916
+ {
2917
+ "epoch": 7.254901960784314,
2918
+ "grad_norm": 0.63671875,
2919
+ "learning_rate": 4.213287038201943e-05,
2920
+ "loss": 0.4201,
2921
+ "step": 2035
2922
+ },
2923
+ {
2924
+ "epoch": 7.2727272727272725,
2925
+ "grad_norm": 0.62890625,
2926
+ "learning_rate": 4.1625632776521037e-05,
2927
+ "loss": 0.4321,
2928
+ "step": 2040
2929
+ },
2930
+ {
2931
+ "epoch": 7.290552584670232,
2932
+ "grad_norm": 0.62109375,
2933
+ "learning_rate": 4.112066325667954e-05,
2934
+ "loss": 0.4215,
2935
+ "step": 2045
2936
+ },
2937
+ {
2938
+ "epoch": 7.308377896613191,
2939
+ "grad_norm": 0.63671875,
2940
+ "learning_rate": 4.0617981442649855e-05,
2941
+ "loss": 0.4248,
2942
+ "step": 2050
2943
+ },
2944
+ {
2945
+ "epoch": 7.32620320855615,
2946
+ "grad_norm": 0.73828125,
2947
+ "learning_rate": 4.0117606865699975e-05,
2948
+ "loss": 0.4308,
2949
+ "step": 2055
2950
+ },
2951
+ {
2952
+ "epoch": 7.3440285204991085,
2953
+ "grad_norm": 0.6640625,
2954
+ "learning_rate": 3.961955896745224e-05,
2955
+ "loss": 0.4227,
2956
+ "step": 2060
2957
+ },
2958
+ {
2959
+ "epoch": 7.361853832442068,
2960
+ "grad_norm": 0.66015625,
2961
+ "learning_rate": 3.9123857099127936e-05,
2962
+ "loss": 0.4292,
2963
+ "step": 2065
2964
+ },
2965
+ {
2966
+ "epoch": 7.379679144385027,
2967
+ "grad_norm": 0.62890625,
2968
+ "learning_rate": 3.863052052079528e-05,
2969
+ "loss": 0.4275,
2970
+ "step": 2070
2971
+ },
2972
+ {
2973
+ "epoch": 7.397504456327986,
2974
+ "grad_norm": 0.62109375,
2975
+ "learning_rate": 3.813956840062118e-05,
2976
+ "loss": 0.429,
2977
+ "step": 2075
2978
+ },
2979
+ {
2980
+ "epoch": 7.4153297682709445,
2981
+ "grad_norm": 0.68359375,
2982
+ "learning_rate": 3.7651019814126654e-05,
2983
+ "loss": 0.4301,
2984
+ "step": 2080
2985
+ },
2986
+ {
2987
+ "epoch": 7.433155080213904,
2988
+ "grad_norm": 0.6328125,
2989
+ "learning_rate": 3.716489374344527e-05,
2990
+ "loss": 0.4264,
2991
+ "step": 2085
2992
+ },
2993
+ {
2994
+ "epoch": 7.450980392156863,
2995
+ "grad_norm": 0.64453125,
2996
+ "learning_rate": 3.668120907658603e-05,
2997
+ "loss": 0.4255,
2998
+ "step": 2090
2999
+ },
3000
+ {
3001
+ "epoch": 7.468805704099822,
3002
+ "grad_norm": 0.7421875,
3003
+ "learning_rate": 3.6199984606699155e-05,
3004
+ "loss": 0.4261,
3005
+ "step": 2095
3006
+ },
3007
+ {
3008
+ "epoch": 7.4866310160427805,
3009
+ "grad_norm": 0.640625,
3010
+ "learning_rate": 3.5721239031346066e-05,
3011
+ "loss": 0.4319,
3012
+ "step": 2100
3013
+ },
3014
+ {
3015
+ "epoch": 7.50445632798574,
3016
+ "grad_norm": 0.640625,
3017
+ "learning_rate": 3.5244990951772974e-05,
3018
+ "loss": 0.4233,
3019
+ "step": 2105
3020
+ },
3021
+ {
3022
+ "epoch": 7.522281639928699,
3023
+ "grad_norm": 0.65625,
3024
+ "learning_rate": 3.477125887218792e-05,
3025
+ "loss": 0.4264,
3026
+ "step": 2110
3027
+ },
3028
+ {
3029
+ "epoch": 7.540106951871658,
3030
+ "grad_norm": 0.63671875,
3031
+ "learning_rate": 3.430006119904197e-05,
3032
+ "loss": 0.4343,
3033
+ "step": 2115
3034
+ },
3035
+ {
3036
+ "epoch": 7.5579322638146165,
3037
+ "grad_norm": 0.66015625,
3038
+ "learning_rate": 3.383141624031408e-05,
3039
+ "loss": 0.434,
3040
+ "step": 2120
3041
+ },
3042
+ {
3043
+ "epoch": 7.575757575757576,
3044
+ "grad_norm": 0.60546875,
3045
+ "learning_rate": 3.336534220479961e-05,
3046
+ "loss": 0.4326,
3047
+ "step": 2125
3048
+ },
3049
+ {
3050
+ "epoch": 7.593582887700535,
3051
+ "grad_norm": 0.6796875,
3052
+ "learning_rate": 3.290185720140301e-05,
3053
+ "loss": 0.4299,
3054
+ "step": 2130
3055
+ },
3056
+ {
3057
+ "epoch": 7.611408199643494,
3058
+ "grad_norm": 0.625,
3059
+ "learning_rate": 3.244097923843398e-05,
3060
+ "loss": 0.4219,
3061
+ "step": 2135
3062
+ },
3063
+ {
3064
+ "epoch": 7.6292335115864525,
3065
+ "grad_norm": 0.62890625,
3066
+ "learning_rate": 3.198272622290804e-05,
3067
+ "loss": 0.4262,
3068
+ "step": 2140
3069
+ },
3070
+ {
3071
+ "epoch": 7.647058823529412,
3072
+ "grad_norm": 0.63671875,
3073
+ "learning_rate": 3.152711595985065e-05,
3074
+ "loss": 0.428,
3075
+ "step": 2145
3076
+ },
3077
+ {
3078
+ "epoch": 7.664884135472371,
3079
+ "grad_norm": 0.63671875,
3080
+ "learning_rate": 3.10741661516053e-05,
3081
+ "loss": 0.4282,
3082
+ "step": 2150
3083
+ },
3084
+ {
3085
+ "epoch": 7.68270944741533,
3086
+ "grad_norm": 0.63671875,
3087
+ "learning_rate": 3.062389439714584e-05,
3088
+ "loss": 0.4346,
3089
+ "step": 2155
3090
+ },
3091
+ {
3092
+ "epoch": 7.7005347593582885,
3093
+ "grad_norm": 0.578125,
3094
+ "learning_rate": 3.0176318191392726e-05,
3095
+ "loss": 0.4253,
3096
+ "step": 2160
3097
+ },
3098
+ {
3099
+ "epoch": 7.718360071301248,
3100
+ "grad_norm": 0.609375,
3101
+ "learning_rate": 2.9731454924533086e-05,
3102
+ "loss": 0.4218,
3103
+ "step": 2165
3104
+ },
3105
+ {
3106
+ "epoch": 7.736185383244207,
3107
+ "grad_norm": 0.640625,
3108
+ "learning_rate": 2.9289321881345254e-05,
3109
+ "loss": 0.4284,
3110
+ "step": 2170
3111
+ },
3112
+ {
3113
+ "epoch": 7.754010695187166,
3114
+ "grad_norm": 0.62890625,
3115
+ "learning_rate": 2.8849936240527008e-05,
3116
+ "loss": 0.4359,
3117
+ "step": 2175
3118
+ },
3119
+ {
3120
+ "epoch": 7.7718360071301245,
3121
+ "grad_norm": 0.69921875,
3122
+ "learning_rate": 2.8413315074028158e-05,
3123
+ "loss": 0.4255,
3124
+ "step": 2180
3125
+ },
3126
+ {
3127
+ "epoch": 7.789661319073084,
3128
+ "grad_norm": 0.625,
3129
+ "learning_rate": 2.797947534638736e-05,
3130
+ "loss": 0.4396,
3131
+ "step": 2185
3132
+ },
3133
+ {
3134
+ "epoch": 7.807486631016043,
3135
+ "grad_norm": 0.64453125,
3136
+ "learning_rate": 2.7548433914072734e-05,
3137
+ "loss": 0.4244,
3138
+ "step": 2190
3139
+ },
3140
+ {
3141
+ "epoch": 7.825311942959002,
3142
+ "grad_norm": 0.671875,
3143
+ "learning_rate": 2.7120207524827168e-05,
3144
+ "loss": 0.4363,
3145
+ "step": 2195
3146
+ },
3147
+ {
3148
+ "epoch": 7.8431372549019605,
3149
+ "grad_norm": 0.6875,
3150
+ "learning_rate": 2.669481281701739e-05,
3151
+ "loss": 0.4212,
3152
+ "step": 2200
3153
+ },
3154
+ {
3155
+ "epoch": 7.86096256684492,
3156
+ "grad_norm": 0.64453125,
3157
+ "learning_rate": 2.6272266318987603e-05,
3158
+ "loss": 0.4321,
3159
+ "step": 2205
3160
+ },
3161
+ {
3162
+ "epoch": 7.878787878787879,
3163
+ "grad_norm": 0.640625,
3164
+ "learning_rate": 2.5852584448417328e-05,
3165
+ "loss": 0.4362,
3166
+ "step": 2210
3167
+ },
3168
+ {
3169
+ "epoch": 7.896613190730838,
3170
+ "grad_norm": 0.671875,
3171
+ "learning_rate": 2.5435783511683443e-05,
3172
+ "loss": 0.4327,
3173
+ "step": 2215
3174
+ },
3175
+ {
3176
+ "epoch": 7.9144385026737964,
3177
+ "grad_norm": 0.62890625,
3178
+ "learning_rate": 2.502187970322657e-05,
3179
+ "loss": 0.4261,
3180
+ "step": 2220
3181
+ },
3182
+ {
3183
+ "epoch": 7.932263814616756,
3184
+ "grad_norm": 0.6875,
3185
+ "learning_rate": 2.461088910492202e-05,
3186
+ "loss": 0.4314,
3187
+ "step": 2225
3188
+ },
3189
+ {
3190
+ "epoch": 7.950089126559715,
3191
+ "grad_norm": 0.6796875,
3192
+ "learning_rate": 2.420282768545469e-05,
3193
+ "loss": 0.4356,
3194
+ "step": 2230
3195
+ },
3196
+ {
3197
+ "epoch": 7.967914438502674,
3198
+ "grad_norm": 0.64453125,
3199
+ "learning_rate": 2.3797711299698923e-05,
3200
+ "loss": 0.429,
3201
+ "step": 2235
3202
+ },
3203
+ {
3204
+ "epoch": 7.9857397504456324,
3205
+ "grad_norm": 0.69140625,
3206
+ "learning_rate": 2.339555568810221e-05,
3207
+ "loss": 0.4306,
3208
+ "step": 2240
3209
+ },
3210
+ {
3211
+ "epoch": 8.0,
3212
+ "eval_loss": 2.8791282176971436,
3213
+ "eval_runtime": 1.0241,
3214
+ "eval_samples_per_second": 4.883,
3215
+ "eval_steps_per_second": 1.953,
3216
+ "step": 2244
3217
+ },
3218
+ {
3219
+ "epoch": 8.003565062388592,
3220
+ "grad_norm": 0.578125,
3221
+ "learning_rate": 2.2996376476073723e-05,
3222
+ "loss": 0.4213,
3223
+ "step": 2245
3224
+ },
3225
+ {
3226
+ "epoch": 8.02139037433155,
3227
+ "grad_norm": 0.58984375,
3228
+ "learning_rate": 2.260018917337726e-05,
3229
+ "loss": 0.4101,
3230
+ "step": 2250
3231
+ },
3232
+ {
3233
+ "epoch": 8.03921568627451,
3234
+ "grad_norm": 0.625,
3235
+ "learning_rate": 2.2207009173528527e-05,
3236
+ "loss": 0.4112,
3237
+ "step": 2255
3238
+ },
3239
+ {
3240
+ "epoch": 8.057040998217468,
3241
+ "grad_norm": 0.6015625,
3242
+ "learning_rate": 2.181685175319702e-05,
3243
+ "loss": 0.4117,
3244
+ "step": 2260
3245
+ },
3246
+ {
3247
+ "epoch": 8.074866310160427,
3248
+ "grad_norm": 0.6328125,
3249
+ "learning_rate": 2.142973207161265e-05,
3250
+ "loss": 0.4099,
3251
+ "step": 2265
3252
+ },
3253
+ {
3254
+ "epoch": 8.092691622103386,
3255
+ "grad_norm": 0.62109375,
3256
+ "learning_rate": 2.1045665169976468e-05,
3257
+ "loss": 0.4074,
3258
+ "step": 2270
3259
+ },
3260
+ {
3261
+ "epoch": 8.110516934046347,
3262
+ "grad_norm": 0.65625,
3263
+ "learning_rate": 2.0664665970876496e-05,
3264
+ "loss": 0.4103,
3265
+ "step": 2275
3266
+ },
3267
+ {
3268
+ "epoch": 8.128342245989305,
3269
+ "grad_norm": 0.57421875,
3270
+ "learning_rate": 2.0286749277707782e-05,
3271
+ "loss": 0.4073,
3272
+ "step": 2280
3273
+ },
3274
+ {
3275
+ "epoch": 8.146167557932264,
3276
+ "grad_norm": 0.66796875,
3277
+ "learning_rate": 1.9911929774097215e-05,
3278
+ "loss": 0.4024,
3279
+ "step": 2285
3280
+ },
3281
+ {
3282
+ "epoch": 8.163992869875223,
3283
+ "grad_norm": 0.62890625,
3284
+ "learning_rate": 1.9540222023333166e-05,
3285
+ "loss": 0.4016,
3286
+ "step": 2290
3287
+ },
3288
+ {
3289
+ "epoch": 8.181818181818182,
3290
+ "grad_norm": 0.63671875,
3291
+ "learning_rate": 1.917164046779948e-05,
3292
+ "loss": 0.414,
3293
+ "step": 2295
3294
+ },
3295
+ {
3296
+ "epoch": 8.19964349376114,
3297
+ "grad_norm": 0.703125,
3298
+ "learning_rate": 1.880619942841435e-05,
3299
+ "loss": 0.4106,
3300
+ "step": 2300
3301
+ },
3302
+ {
3303
+ "epoch": 8.2174688057041,
3304
+ "grad_norm": 0.61328125,
3305
+ "learning_rate": 1.8443913104073983e-05,
3306
+ "loss": 0.3989,
3307
+ "step": 2305
3308
+ },
3309
+ {
3310
+ "epoch": 8.235294117647058,
3311
+ "grad_norm": 0.62890625,
3312
+ "learning_rate": 1.808479557110081e-05,
3313
+ "loss": 0.4134,
3314
+ "step": 2310
3315
+ },
3316
+ {
3317
+ "epoch": 8.253119429590019,
3318
+ "grad_norm": 0.62109375,
3319
+ "learning_rate": 1.7728860782696664e-05,
3320
+ "loss": 0.4121,
3321
+ "step": 2315
3322
+ },
3323
+ {
3324
+ "epoch": 8.270944741532977,
3325
+ "grad_norm": 0.69921875,
3326
+ "learning_rate": 1.7376122568400532e-05,
3327
+ "loss": 0.4034,
3328
+ "step": 2320
3329
+ },
3330
+ {
3331
+ "epoch": 8.288770053475936,
3332
+ "grad_norm": 0.671875,
3333
+ "learning_rate": 1.702659463355125e-05,
3334
+ "loss": 0.4085,
3335
+ "step": 2325
3336
+ },
3337
+ {
3338
+ "epoch": 8.306595365418895,
3339
+ "grad_norm": 0.6484375,
3340
+ "learning_rate": 1.668029055875512e-05,
3341
+ "loss": 0.4109,
3342
+ "step": 2330
3343
+ },
3344
+ {
3345
+ "epoch": 8.324420677361854,
3346
+ "grad_norm": 0.625,
3347
+ "learning_rate": 1.6337223799358026e-05,
3348
+ "loss": 0.4103,
3349
+ "step": 2335
3350
+ },
3351
+ {
3352
+ "epoch": 8.342245989304812,
3353
+ "grad_norm": 0.61328125,
3354
+ "learning_rate": 1.5997407684922862e-05,
3355
+ "loss": 0.4104,
3356
+ "step": 2340
3357
+ },
3358
+ {
3359
+ "epoch": 8.360071301247771,
3360
+ "grad_norm": 0.66796875,
3361
+ "learning_rate": 1.566085541871145e-05,
3362
+ "loss": 0.408,
3363
+ "step": 2345
3364
+ },
3365
+ {
3366
+ "epoch": 8.37789661319073,
3367
+ "grad_norm": 0.6171875,
3368
+ "learning_rate": 1.5327580077171587e-05,
3369
+ "loss": 0.4095,
3370
+ "step": 2350
3371
+ },
3372
+ {
3373
+ "epoch": 8.39572192513369,
3374
+ "grad_norm": 0.6328125,
3375
+ "learning_rate": 1.4997594609429088e-05,
3376
+ "loss": 0.4044,
3377
+ "step": 2355
3378
+ },
3379
+ {
3380
+ "epoch": 8.41354723707665,
3381
+ "grad_norm": 0.64453125,
3382
+ "learning_rate": 1.467091183678444e-05,
3383
+ "loss": 0.4029,
3384
+ "step": 2360
3385
+ },
3386
+ {
3387
+ "epoch": 8.431372549019608,
3388
+ "grad_norm": 0.609375,
3389
+ "learning_rate": 1.4347544452214868e-05,
3390
+ "loss": 0.4042,
3391
+ "step": 2365
3392
+ },
3393
+ {
3394
+ "epoch": 8.449197860962567,
3395
+ "grad_norm": 0.609375,
3396
+ "learning_rate": 1.402750501988097e-05,
3397
+ "loss": 0.4043,
3398
+ "step": 2370
3399
+ },
3400
+ {
3401
+ "epoch": 8.467023172905526,
3402
+ "grad_norm": 0.609375,
3403
+ "learning_rate": 1.3710805974638696e-05,
3404
+ "loss": 0.4041,
3405
+ "step": 2375
3406
+ },
3407
+ {
3408
+ "epoch": 8.484848484848484,
3409
+ "grad_norm": 0.59375,
3410
+ "learning_rate": 1.339745962155613e-05,
3411
+ "loss": 0.4155,
3412
+ "step": 2380
3413
+ },
3414
+ {
3415
+ "epoch": 8.502673796791443,
3416
+ "grad_norm": 0.6875,
3417
+ "learning_rate": 1.308747813543536e-05,
3418
+ "loss": 0.4106,
3419
+ "step": 2385
3420
+ },
3421
+ {
3422
+ "epoch": 8.520499108734402,
3423
+ "grad_norm": 0.6640625,
3424
+ "learning_rate": 1.2780873560339468e-05,
3425
+ "loss": 0.4112,
3426
+ "step": 2390
3427
+ },
3428
+ {
3429
+ "epoch": 8.538324420677363,
3430
+ "grad_norm": 0.640625,
3431
+ "learning_rate": 1.2477657809124631e-05,
3432
+ "loss": 0.4062,
3433
+ "step": 2395
3434
+ },
3435
+ {
3436
+ "epoch": 8.556149732620321,
3437
+ "grad_norm": 0.65234375,
3438
+ "learning_rate": 1.2177842662977135e-05,
3439
+ "loss": 0.4053,
3440
+ "step": 2400
3441
+ },
3442
+ {
3443
+ "epoch": 8.57397504456328,
3444
+ "grad_norm": 0.63671875,
3445
+ "learning_rate": 1.188143977095576e-05,
3446
+ "loss": 0.4135,
3447
+ "step": 2405
3448
+ },
3449
+ {
3450
+ "epoch": 8.591800356506239,
3451
+ "grad_norm": 0.6015625,
3452
+ "learning_rate": 1.1588460649539035e-05,
3453
+ "loss": 0.4011,
3454
+ "step": 2410
3455
+ },
3456
+ {
3457
+ "epoch": 8.609625668449198,
3458
+ "grad_norm": 0.66796875,
3459
+ "learning_rate": 1.129891668217783e-05,
3460
+ "loss": 0.4061,
3461
+ "step": 2415
3462
+ },
3463
+ {
3464
+ "epoch": 8.627450980392156,
3465
+ "grad_norm": 0.62109375,
3466
+ "learning_rate": 1.1012819118853147e-05,
3467
+ "loss": 0.4119,
3468
+ "step": 2420
3469
+ },
3470
+ {
3471
+ "epoch": 8.645276292335115,
3472
+ "grad_norm": 0.66796875,
3473
+ "learning_rate": 1.0730179075638868e-05,
3474
+ "loss": 0.409,
3475
+ "step": 2425
3476
+ },
3477
+ {
3478
+ "epoch": 8.663101604278076,
3479
+ "grad_norm": 0.60546875,
3480
+ "learning_rate": 1.0451007534269907e-05,
3481
+ "loss": 0.4089,
3482
+ "step": 2430
3483
+ },
3484
+ {
3485
+ "epoch": 8.680926916221035,
3486
+ "grad_norm": 0.61328125,
3487
+ "learning_rate": 1.0175315341715597e-05,
3488
+ "loss": 0.4066,
3489
+ "step": 2435
3490
+ },
3491
+ {
3492
+ "epoch": 8.698752228163993,
3493
+ "grad_norm": 0.59375,
3494
+ "learning_rate": 9.903113209758096e-06,
3495
+ "loss": 0.4117,
3496
+ "step": 2440
3497
+ },
3498
+ {
3499
+ "epoch": 8.716577540106952,
3500
+ "grad_norm": 0.60546875,
3501
+ "learning_rate": 9.634411714576353e-06,
3502
+ "loss": 0.4017,
3503
+ "step": 2445
3504
+ },
3505
+ {
3506
+ "epoch": 8.73440285204991,
3507
+ "grad_norm": 0.625,
3508
+ "learning_rate": 9.369221296335006e-06,
3509
+ "loss": 0.4036,
3510
+ "step": 2450
3511
+ },
3512
+ {
3513
+ "epoch": 8.75222816399287,
3514
+ "grad_norm": 0.62109375,
3515
+ "learning_rate": 9.107552258778907e-06,
3516
+ "loss": 0.4019,
3517
+ "step": 2455
3518
+ },
3519
+ {
3520
+ "epoch": 8.770053475935828,
3521
+ "grad_norm": 0.65234375,
3522
+ "learning_rate": 8.849414768832687e-06,
3523
+ "loss": 0.4119,
3524
+ "step": 2460
3525
+ },
3526
+ {
3527
+ "epoch": 8.787878787878787,
3528
+ "grad_norm": 0.65625,
3529
+ "learning_rate": 8.5948188562057e-06,
3530
+ "loss": 0.4065,
3531
+ "step": 2465
3532
+ },
3533
+ {
3534
+ "epoch": 8.805704099821746,
3535
+ "grad_norm": 0.625,
3536
+ "learning_rate": 8.343774413002381e-06,
3537
+ "loss": 0.405,
3538
+ "step": 2470
3539
+ },
3540
+ {
3541
+ "epoch": 8.823529411764707,
3542
+ "grad_norm": 0.6328125,
3543
+ "learning_rate": 8.096291193337934e-06,
3544
+ "loss": 0.4049,
3545
+ "step": 2475
3546
+ },
3547
+ {
3548
+ "epoch": 8.841354723707665,
3549
+ "grad_norm": 0.6328125,
3550
+ "learning_rate": 7.852378812959227e-06,
3551
+ "loss": 0.4033,
3552
+ "step": 2480
3553
+ },
3554
+ {
3555
+ "epoch": 8.859180035650624,
3556
+ "grad_norm": 0.58203125,
3557
+ "learning_rate": 7.612046748871327e-06,
3558
+ "loss": 0.4044,
3559
+ "step": 2485
3560
+ },
3561
+ {
3562
+ "epoch": 8.877005347593583,
3563
+ "grad_norm": 0.71484375,
3564
+ "learning_rate": 7.375304338969136e-06,
3565
+ "loss": 0.4068,
3566
+ "step": 2490
3567
+ },
3568
+ {
3569
+ "epoch": 8.894830659536542,
3570
+ "grad_norm": 0.6171875,
3571
+ "learning_rate": 7.142160781674645e-06,
3572
+ "loss": 0.4035,
3573
+ "step": 2495
3574
+ },
3575
+ {
3576
+ "epoch": 8.9126559714795,
3577
+ "grad_norm": 0.6328125,
3578
+ "learning_rate": 6.9126251355795864e-06,
3579
+ "loss": 0.4083,
3580
+ "step": 2500
3581
+ },
3582
+ {
3583
+ "epoch": 8.93048128342246,
3584
+ "grad_norm": 0.62109375,
3585
+ "learning_rate": 6.68670631909335e-06,
3586
+ "loss": 0.4059,
3587
+ "step": 2505
3588
+ },
3589
+ {
3590
+ "epoch": 8.94830659536542,
3591
+ "grad_norm": 0.66796875,
3592
+ "learning_rate": 6.464413110096601e-06,
3593
+ "loss": 0.4114,
3594
+ "step": 2510
3595
+ },
3596
+ {
3597
+ "epoch": 8.966131907308379,
3598
+ "grad_norm": 0.625,
3599
+ "learning_rate": 6.245754145600091e-06,
3600
+ "loss": 0.4132,
3601
+ "step": 2515
3602
+ },
3603
+ {
3604
+ "epoch": 8.983957219251337,
3605
+ "grad_norm": 0.640625,
3606
+ "learning_rate": 6.030737921409169e-06,
3607
+ "loss": 0.4106,
3608
+ "step": 2520
3609
+ },
3610
+ {
3611
+ "epoch": 8.998217468805704,
3612
+ "eval_loss": 3.001107692718506,
3613
+ "eval_runtime": 1.0503,
3614
+ "eval_samples_per_second": 4.76,
3615
+ "eval_steps_per_second": 1.904,
3616
+ "step": 2524
3617
+ },
3618
+ {
3619
+ "epoch": 9.001782531194296,
3620
+ "grad_norm": 0.578125,
3621
+ "learning_rate": 5.8193727917936536e-06,
3622
+ "loss": 0.4088,
3623
+ "step": 2525
3624
+ },
3625
+ {
3626
+ "epoch": 9.019607843137255,
3627
+ "grad_norm": 0.65234375,
3628
+ "learning_rate": 5.611666969163243e-06,
3629
+ "loss": 0.4124,
3630
+ "step": 2530
3631
+ },
3632
+ {
3633
+ "epoch": 9.037433155080214,
3634
+ "grad_norm": 0.5859375,
3635
+ "learning_rate": 5.4076285237483984e-06,
3636
+ "loss": 0.405,
3637
+ "step": 2535
3638
+ },
3639
+ {
3640
+ "epoch": 9.055258467023172,
3641
+ "grad_norm": 0.62890625,
3642
+ "learning_rate": 5.20726538328683e-06,
3643
+ "loss": 0.3947,
3644
+ "step": 2540
3645
+ },
3646
+ {
3647
+ "epoch": 9.073083778966131,
3648
+ "grad_norm": 0.6015625,
3649
+ "learning_rate": 5.0105853327154e-06,
3650
+ "loss": 0.4077,
3651
+ "step": 2545
3652
+ },
3653
+ {
3654
+ "epoch": 9.090909090909092,
3655
+ "grad_norm": 0.58984375,
3656
+ "learning_rate": 4.817596013867764e-06,
3657
+ "loss": 0.402,
3658
+ "step": 2550
3659
+ },
3660
+ {
3661
+ "epoch": 9.10873440285205,
3662
+ "grad_norm": 0.58984375,
3663
+ "learning_rate": 4.628304925177318e-06,
3664
+ "loss": 0.4053,
3665
+ "step": 2555
3666
+ },
3667
+ {
3668
+ "epoch": 9.12655971479501,
3669
+ "grad_norm": 0.6015625,
3670
+ "learning_rate": 4.442719421385922e-06,
3671
+ "loss": 0.4063,
3672
+ "step": 2560
3673
+ },
3674
+ {
3675
+ "epoch": 9.144385026737968,
3676
+ "grad_norm": 0.6171875,
3677
+ "learning_rate": 4.260846713258193e-06,
3678
+ "loss": 0.4066,
3679
+ "step": 2565
3680
+ },
3681
+ {
3682
+ "epoch": 9.162210338680927,
3683
+ "grad_norm": 0.6484375,
3684
+ "learning_rate": 4.082693867301224e-06,
3685
+ "loss": 0.4103,
3686
+ "step": 2570
3687
+ },
3688
+ {
3689
+ "epoch": 9.180035650623886,
3690
+ "grad_norm": 0.61328125,
3691
+ "learning_rate": 3.908267805490051e-06,
3692
+ "loss": 0.4052,
3693
+ "step": 2575
3694
+ },
3695
+ {
3696
+ "epoch": 9.197860962566844,
3697
+ "grad_norm": 0.59765625,
3698
+ "learning_rate": 3.7375753049987973e-06,
3699
+ "loss": 0.4004,
3700
+ "step": 2580
3701
+ },
3702
+ {
3703
+ "epoch": 9.215686274509803,
3704
+ "grad_norm": 0.62109375,
3705
+ "learning_rate": 3.570622997937234e-06,
3706
+ "loss": 0.4049,
3707
+ "step": 2585
3708
+ },
3709
+ {
3710
+ "epoch": 9.233511586452764,
3711
+ "grad_norm": 0.62109375,
3712
+ "learning_rate": 3.40741737109318e-06,
3713
+ "loss": 0.4048,
3714
+ "step": 2590
3715
+ },
3716
+ {
3717
+ "epoch": 9.251336898395722,
3718
+ "grad_norm": 0.6171875,
3719
+ "learning_rate": 3.247964765680389e-06,
3720
+ "loss": 0.4052,
3721
+ "step": 2595
3722
+ },
3723
+ {
3724
+ "epoch": 9.269162210338681,
3725
+ "grad_norm": 0.6640625,
3726
+ "learning_rate": 3.092271377092215e-06,
3727
+ "loss": 0.4098,
3728
+ "step": 2600
3729
+ },
3730
+ {
3731
+ "epoch": 9.28698752228164,
3732
+ "grad_norm": 0.6171875,
3733
+ "learning_rate": 2.9403432546609043e-06,
3734
+ "loss": 0.4011,
3735
+ "step": 2605
3736
+ },
3737
+ {
3738
+ "epoch": 9.304812834224599,
3739
+ "grad_norm": 0.6015625,
3740
+ "learning_rate": 2.7921863014225503e-06,
3741
+ "loss": 0.4075,
3742
+ "step": 2610
3743
+ },
3744
+ {
3745
+ "epoch": 9.322638146167558,
3746
+ "grad_norm": 0.59375,
3747
+ "learning_rate": 2.647806273887665e-06,
3748
+ "loss": 0.4045,
3749
+ "step": 2615
3750
+ },
3751
+ {
3752
+ "epoch": 9.340463458110516,
3753
+ "grad_norm": 0.609375,
3754
+ "learning_rate": 2.5072087818176382e-06,
3755
+ "loss": 0.399,
3756
+ "step": 2620
3757
+ },
3758
+ {
3759
+ "epoch": 9.358288770053475,
3760
+ "grad_norm": 0.625,
3761
+ "learning_rate": 2.3703992880066638e-06,
3762
+ "loss": 0.4012,
3763
+ "step": 2625
3764
+ },
3765
+ {
3766
+ "epoch": 9.376114081996436,
3767
+ "grad_norm": 0.62109375,
3768
+ "learning_rate": 2.237383108069546e-06,
3769
+ "loss": 0.4092,
3770
+ "step": 2630
3771
+ },
3772
+ {
3773
+ "epoch": 9.393939393939394,
3774
+ "grad_norm": 0.58984375,
3775
+ "learning_rate": 2.1081654102351635e-06,
3776
+ "loss": 0.3956,
3777
+ "step": 2635
3778
+ },
3779
+ {
3780
+ "epoch": 9.411764705882353,
3781
+ "grad_norm": 0.60546875,
3782
+ "learning_rate": 1.9827512151456173e-06,
3783
+ "loss": 0.4007,
3784
+ "step": 2640
3785
+ },
3786
+ {
3787
+ "epoch": 9.429590017825312,
3788
+ "grad_norm": 0.6328125,
3789
+ "learning_rate": 1.8611453956612347e-06,
3790
+ "loss": 0.4005,
3791
+ "step": 2645
3792
+ },
3793
+ {
3794
+ "epoch": 9.44741532976827,
3795
+ "grad_norm": 0.6015625,
3796
+ "learning_rate": 1.7433526766711728e-06,
3797
+ "loss": 0.4045,
3798
+ "step": 2650
3799
+ },
3800
+ {
3801
+ "epoch": 9.46524064171123,
3802
+ "grad_norm": 0.58984375,
3803
+ "learning_rate": 1.6293776349098677e-06,
3804
+ "loss": 0.4041,
3805
+ "step": 2655
3806
+ },
3807
+ {
3808
+ "epoch": 9.483065953654188,
3809
+ "grad_norm": 0.6015625,
3810
+ "learning_rate": 1.5192246987791981e-06,
3811
+ "loss": 0.403,
3812
+ "step": 2660
3813
+ },
3814
+ {
3815
+ "epoch": 9.500891265597147,
3816
+ "grad_norm": 0.64453125,
3817
+ "learning_rate": 1.4128981481764115e-06,
3818
+ "loss": 0.3989,
3819
+ "step": 2665
3820
+ },
3821
+ {
3822
+ "epoch": 9.518716577540108,
3823
+ "grad_norm": 0.65625,
3824
+ "learning_rate": 1.3104021143278911e-06,
3825
+ "loss": 0.4132,
3826
+ "step": 2670
3827
+ },
3828
+ {
3829
+ "epoch": 9.536541889483066,
3830
+ "grad_norm": 0.640625,
3831
+ "learning_rate": 1.2117405796285286e-06,
3832
+ "loss": 0.401,
3833
+ "step": 2675
3834
+ },
3835
+ {
3836
+ "epoch": 9.554367201426025,
3837
+ "grad_norm": 0.6640625,
3838
+ "learning_rate": 1.1169173774871478e-06,
3839
+ "loss": 0.3957,
3840
+ "step": 2680
3841
+ },
3842
+ {
3843
+ "epoch": 9.572192513368984,
3844
+ "grad_norm": 0.62890625,
3845
+ "learning_rate": 1.0259361921774013e-06,
3846
+ "loss": 0.4003,
3847
+ "step": 2685
3848
+ },
3849
+ {
3850
+ "epoch": 9.590017825311943,
3851
+ "grad_norm": 0.640625,
3852
+ "learning_rate": 9.388005586947191e-07,
3853
+ "loss": 0.4009,
3854
+ "step": 2690
3855
+ },
3856
+ {
3857
+ "epoch": 9.607843137254902,
3858
+ "grad_norm": 0.66796875,
3859
+ "learning_rate": 8.555138626189618e-07,
3860
+ "loss": 0.4052,
3861
+ "step": 2695
3862
+ },
3863
+ {
3864
+ "epoch": 9.62566844919786,
3865
+ "grad_norm": 0.5859375,
3866
+ "learning_rate": 7.760793399827937e-07,
3867
+ "loss": 0.4009,
3868
+ "step": 2700
3869
+ },
3870
+ {
3871
+ "epoch": 9.643493761140821,
3872
+ "grad_norm": 0.609375,
3873
+ "learning_rate": 7.00500077146038e-07,
3874
+ "loss": 0.4017,
3875
+ "step": 2705
3876
+ },
3877
+ {
3878
+ "epoch": 9.66131907308378,
3879
+ "grad_norm": 0.6171875,
3880
+ "learning_rate": 6.287790106757396e-07,
3881
+ "loss": 0.3964,
3882
+ "step": 2710
3883
+ },
3884
+ {
3885
+ "epoch": 9.679144385026738,
3886
+ "grad_norm": 0.62109375,
3887
+ "learning_rate": 5.609189272320237e-07,
3888
+ "loss": 0.4022,
3889
+ "step": 2715
3890
+ },
3891
+ {
3892
+ "epoch": 9.696969696969697,
3893
+ "grad_norm": 0.625,
3894
+ "learning_rate": 4.969224634598591e-07,
3895
+ "loss": 0.404,
3896
+ "step": 2720
3897
+ },
3898
+ {
3899
+ "epoch": 9.714795008912656,
3900
+ "grad_norm": 0.609375,
3901
+ "learning_rate": 4.3679210588661866e-07,
3902
+ "loss": 0.409,
3903
+ "step": 2725
3904
+ },
3905
+ {
3906
+ "epoch": 9.732620320855615,
3907
+ "grad_norm": 0.6328125,
3908
+ "learning_rate": 3.805301908254455e-07,
3909
+ "loss": 0.4033,
3910
+ "step": 2730
3911
+ },
3912
+ {
3913
+ "epoch": 9.750445632798574,
3914
+ "grad_norm": 0.62890625,
3915
+ "learning_rate": 3.281389042844918e-07,
3916
+ "loss": 0.4111,
3917
+ "step": 2735
3918
+ },
3919
+ {
3920
+ "epoch": 9.768270944741532,
3921
+ "grad_norm": 0.61328125,
3922
+ "learning_rate": 2.7962028188198706e-07,
3923
+ "loss": 0.3937,
3924
+ "step": 2740
3925
+ },
3926
+ {
3927
+ "epoch": 9.786096256684491,
3928
+ "grad_norm": 0.58984375,
3929
+ "learning_rate": 2.3497620876711257e-07,
3930
+ "loss": 0.4115,
3931
+ "step": 2745
3932
+ },
3933
+ {
3934
+ "epoch": 9.803921568627452,
3935
+ "grad_norm": 0.625,
3936
+ "learning_rate": 1.9420841954681525e-07,
3937
+ "loss": 0.4025,
3938
+ "step": 2750
3939
+ },
3940
+ {
3941
+ "epoch": 9.82174688057041,
3942
+ "grad_norm": 0.640625,
3943
+ "learning_rate": 1.5731849821833954e-07,
3944
+ "loss": 0.4012,
3945
+ "step": 2755
3946
+ },
3947
+ {
3948
+ "epoch": 9.83957219251337,
3949
+ "grad_norm": 0.63671875,
3950
+ "learning_rate": 1.2430787810776555e-07,
3951
+ "loss": 0.402,
3952
+ "step": 2760
3953
+ },
3954
+ {
3955
+ "epoch": 9.857397504456328,
3956
+ "grad_norm": 0.59375,
3957
+ "learning_rate": 9.517784181422019e-08,
3958
+ "loss": 0.4128,
3959
+ "step": 2765
3960
+ },
3961
+ {
3962
+ "epoch": 9.875222816399287,
3963
+ "grad_norm": 0.58984375,
3964
+ "learning_rate": 6.992952116013918e-08,
3965
+ "loss": 0.4023,
3966
+ "step": 2770
3967
+ },
3968
+ {
3969
+ "epoch": 9.893048128342246,
3970
+ "grad_norm": 0.60546875,
3971
+ "learning_rate": 4.856389714723575e-08,
3972
+ "loss": 0.4023,
3973
+ "step": 2775
3974
+ },
3975
+ {
3976
+ "epoch": 9.910873440285204,
3977
+ "grad_norm": 0.61328125,
3978
+ "learning_rate": 3.1081799918375454e-08,
3979
+ "loss": 0.4105,
3980
+ "step": 2780
3981
+ },
3982
+ {
3983
+ "epoch": 9.928698752228165,
3984
+ "grad_norm": 0.625,
3985
+ "learning_rate": 1.7483908725357545e-08,
3986
+ "loss": 0.4085,
3987
+ "step": 2785
3988
+ },
3989
+ {
3990
+ "epoch": 9.946524064171124,
3991
+ "grad_norm": 0.5859375,
3992
+ "learning_rate": 7.770751902513862e-09,
3993
+ "loss": 0.3979,
3994
+ "step": 2790
3995
+ },
3996
+ {
3997
+ "epoch": 9.964349376114082,
3998
+ "grad_norm": 0.65234375,
3999
+ "learning_rate": 1.9427068461808083e-09,
4000
+ "loss": 0.4084,
4001
+ "step": 2795
4002
+ },
4003
+ {
4004
+ "epoch": 9.982174688057041,
4005
+ "grad_norm": 0.609375,
4006
+ "learning_rate": 0.0,
4007
+ "loss": 0.4021,
4008
+ "step": 2800
4009
+ },
4010
+ {
4011
+ "epoch": 9.982174688057041,
4012
+ "eval_loss": 3.022949695587158,
4013
+ "eval_runtime": 1.033,
4014
+ "eval_samples_per_second": 4.84,
4015
+ "eval_steps_per_second": 1.936,
4016
+ "step": 2800
4017
+ },
4018
+ {
4019
+ "epoch": 9.982174688057041,
4020
+ "step": 2800,
4021
+ "total_flos": 4.2808448846481326e+18,
4022
+ "train_loss": 1.3059567311831883,
4023
+ "train_runtime": 23112.9867,
4024
+ "train_samples_per_second": 1.939,
4025
+ "train_steps_per_second": 0.121
4026
+ }
4027
+ ],
4028
+ "logging_steps": 5,
4029
+ "max_steps": 2800,
4030
+ "num_input_tokens_seen": 0,
4031
+ "num_train_epochs": 10,
4032
+ "save_steps": 100,
4033
+ "stateful_callbacks": {
4034
+ "TrainerControl": {
4035
+ "args": {
4036
+ "should_epoch_stop": false,
4037
+ "should_evaluate": false,
4038
+ "should_log": false,
4039
+ "should_save": true,
4040
+ "should_training_stop": true
4041
+ },
4042
+ "attributes": {}
4043
+ }
4044
+ },
4045
+ "total_flos": 4.2808448846481326e+18,
4046
+ "train_batch_size": 4,
4047
+ "trial_name": null,
4048
+ "trial_params": null
4049
+ }