Model save
Browse files- README.md +64 -0
- all_results.json +9 -0
- train_results.json +9 -0
- trainer_state.json +1681 -0
README.md
ADDED
@@ -0,0 +1,64 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
---
|
2 |
+
license: apache-2.0
|
3 |
+
base_model: yanolja/EEVE-Korean-Instruct-10.8B-v1.0
|
4 |
+
tags:
|
5 |
+
- trl
|
6 |
+
- sft
|
7 |
+
- generated_from_trainer
|
8 |
+
model-index:
|
9 |
+
- name: eeve-10.8B_C
|
10 |
+
results: []
|
11 |
+
---
|
12 |
+
|
13 |
+
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
|
14 |
+
should probably proofread and complete it, then remove this comment. -->
|
15 |
+
|
16 |
+
# eeve-10.8B_C
|
17 |
+
|
18 |
+
This model is a fine-tuned version of [yanolja/EEVE-Korean-Instruct-10.8B-v1.0](https://huggingface.co/yanolja/EEVE-Korean-Instruct-10.8B-v1.0) on the None dataset.
|
19 |
+
It achieves the following results on the evaluation set:
|
20 |
+
- Loss: 0.3697
|
21 |
+
|
22 |
+
## Model description
|
23 |
+
|
24 |
+
More information needed
|
25 |
+
|
26 |
+
## Intended uses & limitations
|
27 |
+
|
28 |
+
More information needed
|
29 |
+
|
30 |
+
## Training and evaluation data
|
31 |
+
|
32 |
+
More information needed
|
33 |
+
|
34 |
+
## Training procedure
|
35 |
+
|
36 |
+
### Training hyperparameters
|
37 |
+
|
38 |
+
The following hyperparameters were used during training:
|
39 |
+
- learning_rate: 1e-05
|
40 |
+
- train_batch_size: 16
|
41 |
+
- eval_batch_size: 8
|
42 |
+
- seed: 42
|
43 |
+
- distributed_type: multi-GPU
|
44 |
+
- num_devices: 3
|
45 |
+
- total_train_batch_size: 48
|
46 |
+
- total_eval_batch_size: 24
|
47 |
+
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
|
48 |
+
- lr_scheduler_type: cosine
|
49 |
+
- lr_scheduler_warmup_ratio: 0.1
|
50 |
+
- num_epochs: 1
|
51 |
+
|
52 |
+
### Training results
|
53 |
+
|
54 |
+
| Training Loss | Epoch | Step | Validation Loss |
|
55 |
+
|:-------------:|:-----:|:----:|:---------------:|
|
56 |
+
| 0.2153 | 1.0 | 233 | 0.3697 |
|
57 |
+
|
58 |
+
|
59 |
+
### Framework versions
|
60 |
+
|
61 |
+
- Transformers 4.41.2
|
62 |
+
- Pytorch 2.1.2
|
63 |
+
- Datasets 2.20.0
|
64 |
+
- Tokenizers 0.19.1
|
all_results.json
ADDED
@@ -0,0 +1,9 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"epoch": 1.0,
|
3 |
+
"total_flos": 8.156803263102976e+16,
|
4 |
+
"train_loss": 0.28537011958754627,
|
5 |
+
"train_runtime": 757.3361,
|
6 |
+
"train_samples": 11140,
|
7 |
+
"train_samples_per_second": 14.709,
|
8 |
+
"train_steps_per_second": 0.308
|
9 |
+
}
|
train_results.json
ADDED
@@ -0,0 +1,9 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"epoch": 1.0,
|
3 |
+
"total_flos": 8.156803263102976e+16,
|
4 |
+
"train_loss": 0.28537011958754627,
|
5 |
+
"train_runtime": 757.3361,
|
6 |
+
"train_samples": 11140,
|
7 |
+
"train_samples_per_second": 14.709,
|
8 |
+
"train_steps_per_second": 0.308
|
9 |
+
}
|
trainer_state.json
ADDED
@@ -0,0 +1,1681 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"best_metric": null,
|
3 |
+
"best_model_checkpoint": null,
|
4 |
+
"epoch": 1.0,
|
5 |
+
"eval_steps": 500,
|
6 |
+
"global_step": 233,
|
7 |
+
"is_hyper_param_search": false,
|
8 |
+
"is_local_process_zero": true,
|
9 |
+
"is_world_process_zero": true,
|
10 |
+
"log_history": [
|
11 |
+
{
|
12 |
+
"epoch": 0.004291845493562232,
|
13 |
+
"grad_norm": 64.1849594116211,
|
14 |
+
"learning_rate": 4.1666666666666667e-07,
|
15 |
+
"loss": 1.9257,
|
16 |
+
"step": 1
|
17 |
+
},
|
18 |
+
{
|
19 |
+
"epoch": 0.008583690987124463,
|
20 |
+
"grad_norm": 67.15699768066406,
|
21 |
+
"learning_rate": 8.333333333333333e-07,
|
22 |
+
"loss": 1.9675,
|
23 |
+
"step": 2
|
24 |
+
},
|
25 |
+
{
|
26 |
+
"epoch": 0.012875536480686695,
|
27 |
+
"grad_norm": 63.228580474853516,
|
28 |
+
"learning_rate": 1.25e-06,
|
29 |
+
"loss": 1.9059,
|
30 |
+
"step": 3
|
31 |
+
},
|
32 |
+
{
|
33 |
+
"epoch": 0.017167381974248927,
|
34 |
+
"grad_norm": 50.28240966796875,
|
35 |
+
"learning_rate": 1.6666666666666667e-06,
|
36 |
+
"loss": 1.6307,
|
37 |
+
"step": 4
|
38 |
+
},
|
39 |
+
{
|
40 |
+
"epoch": 0.02145922746781116,
|
41 |
+
"grad_norm": 56.101253509521484,
|
42 |
+
"learning_rate": 2.0833333333333334e-06,
|
43 |
+
"loss": 1.174,
|
44 |
+
"step": 5
|
45 |
+
},
|
46 |
+
{
|
47 |
+
"epoch": 0.02575107296137339,
|
48 |
+
"grad_norm": 34.66034698486328,
|
49 |
+
"learning_rate": 2.5e-06,
|
50 |
+
"loss": 0.5821,
|
51 |
+
"step": 6
|
52 |
+
},
|
53 |
+
{
|
54 |
+
"epoch": 0.030042918454935622,
|
55 |
+
"grad_norm": 79.90634155273438,
|
56 |
+
"learning_rate": 2.916666666666667e-06,
|
57 |
+
"loss": 0.4952,
|
58 |
+
"step": 7
|
59 |
+
},
|
60 |
+
{
|
61 |
+
"epoch": 0.034334763948497854,
|
62 |
+
"grad_norm": 31.585365295410156,
|
63 |
+
"learning_rate": 3.3333333333333333e-06,
|
64 |
+
"loss": 0.4005,
|
65 |
+
"step": 8
|
66 |
+
},
|
67 |
+
{
|
68 |
+
"epoch": 0.03862660944206009,
|
69 |
+
"grad_norm": 20.49032974243164,
|
70 |
+
"learning_rate": 3.7500000000000005e-06,
|
71 |
+
"loss": 0.3842,
|
72 |
+
"step": 9
|
73 |
+
},
|
74 |
+
{
|
75 |
+
"epoch": 0.04291845493562232,
|
76 |
+
"grad_norm": 12.812472343444824,
|
77 |
+
"learning_rate": 4.166666666666667e-06,
|
78 |
+
"loss": 0.3652,
|
79 |
+
"step": 10
|
80 |
+
},
|
81 |
+
{
|
82 |
+
"epoch": 0.04721030042918455,
|
83 |
+
"grad_norm": 12.473087310791016,
|
84 |
+
"learning_rate": 4.583333333333333e-06,
|
85 |
+
"loss": 0.3918,
|
86 |
+
"step": 11
|
87 |
+
},
|
88 |
+
{
|
89 |
+
"epoch": 0.05150214592274678,
|
90 |
+
"grad_norm": 12.261868476867676,
|
91 |
+
"learning_rate": 5e-06,
|
92 |
+
"loss": 0.3106,
|
93 |
+
"step": 12
|
94 |
+
},
|
95 |
+
{
|
96 |
+
"epoch": 0.055793991416309016,
|
97 |
+
"grad_norm": 10.985730171203613,
|
98 |
+
"learning_rate": 5.416666666666667e-06,
|
99 |
+
"loss": 0.2936,
|
100 |
+
"step": 13
|
101 |
+
},
|
102 |
+
{
|
103 |
+
"epoch": 0.060085836909871244,
|
104 |
+
"grad_norm": 6.1359944343566895,
|
105 |
+
"learning_rate": 5.833333333333334e-06,
|
106 |
+
"loss": 0.3058,
|
107 |
+
"step": 14
|
108 |
+
},
|
109 |
+
{
|
110 |
+
"epoch": 0.06437768240343347,
|
111 |
+
"grad_norm": 19.714662551879883,
|
112 |
+
"learning_rate": 6.25e-06,
|
113 |
+
"loss": 0.3188,
|
114 |
+
"step": 15
|
115 |
+
},
|
116 |
+
{
|
117 |
+
"epoch": 0.06866952789699571,
|
118 |
+
"grad_norm": 50.216400146484375,
|
119 |
+
"learning_rate": 6.666666666666667e-06,
|
120 |
+
"loss": 0.2829,
|
121 |
+
"step": 16
|
122 |
+
},
|
123 |
+
{
|
124 |
+
"epoch": 0.07296137339055794,
|
125 |
+
"grad_norm": 36.995113372802734,
|
126 |
+
"learning_rate": 7.083333333333335e-06,
|
127 |
+
"loss": 0.2931,
|
128 |
+
"step": 17
|
129 |
+
},
|
130 |
+
{
|
131 |
+
"epoch": 0.07725321888412018,
|
132 |
+
"grad_norm": 4.576523780822754,
|
133 |
+
"learning_rate": 7.500000000000001e-06,
|
134 |
+
"loss": 0.3061,
|
135 |
+
"step": 18
|
136 |
+
},
|
137 |
+
{
|
138 |
+
"epoch": 0.0815450643776824,
|
139 |
+
"grad_norm": 4.885584831237793,
|
140 |
+
"learning_rate": 7.916666666666667e-06,
|
141 |
+
"loss": 0.3042,
|
142 |
+
"step": 19
|
143 |
+
},
|
144 |
+
{
|
145 |
+
"epoch": 0.08583690987124463,
|
146 |
+
"grad_norm": 4.763634204864502,
|
147 |
+
"learning_rate": 8.333333333333334e-06,
|
148 |
+
"loss": 0.2747,
|
149 |
+
"step": 20
|
150 |
+
},
|
151 |
+
{
|
152 |
+
"epoch": 0.09012875536480687,
|
153 |
+
"grad_norm": 3.823352575302124,
|
154 |
+
"learning_rate": 8.750000000000001e-06,
|
155 |
+
"loss": 0.2904,
|
156 |
+
"step": 21
|
157 |
+
},
|
158 |
+
{
|
159 |
+
"epoch": 0.0944206008583691,
|
160 |
+
"grad_norm": 3.134524345397949,
|
161 |
+
"learning_rate": 9.166666666666666e-06,
|
162 |
+
"loss": 0.2695,
|
163 |
+
"step": 22
|
164 |
+
},
|
165 |
+
{
|
166 |
+
"epoch": 0.09871244635193133,
|
167 |
+
"grad_norm": 3.5232937335968018,
|
168 |
+
"learning_rate": 9.583333333333335e-06,
|
169 |
+
"loss": 0.2811,
|
170 |
+
"step": 23
|
171 |
+
},
|
172 |
+
{
|
173 |
+
"epoch": 0.10300429184549356,
|
174 |
+
"grad_norm": 3.035285711288452,
|
175 |
+
"learning_rate": 1e-05,
|
176 |
+
"loss": 0.2878,
|
177 |
+
"step": 24
|
178 |
+
},
|
179 |
+
{
|
180 |
+
"epoch": 0.1072961373390558,
|
181 |
+
"grad_norm": 5.4150614738464355,
|
182 |
+
"learning_rate": 9.999435142363484e-06,
|
183 |
+
"loss": 0.283,
|
184 |
+
"step": 25
|
185 |
+
},
|
186 |
+
{
|
187 |
+
"epoch": 0.11158798283261803,
|
188 |
+
"grad_norm": 34.44544982910156,
|
189 |
+
"learning_rate": 9.997740697079595e-06,
|
190 |
+
"loss": 0.3557,
|
191 |
+
"step": 26
|
192 |
+
},
|
193 |
+
{
|
194 |
+
"epoch": 0.11587982832618025,
|
195 |
+
"grad_norm": 17.197986602783203,
|
196 |
+
"learning_rate": 9.994917046996472e-06,
|
197 |
+
"loss": 0.4027,
|
198 |
+
"step": 27
|
199 |
+
},
|
200 |
+
{
|
201 |
+
"epoch": 0.12017167381974249,
|
202 |
+
"grad_norm": 14.15243911743164,
|
203 |
+
"learning_rate": 9.990964830098246e-06,
|
204 |
+
"loss": 0.3703,
|
205 |
+
"step": 28
|
206 |
+
},
|
207 |
+
{
|
208 |
+
"epoch": 0.12446351931330472,
|
209 |
+
"grad_norm": 14.733880043029785,
|
210 |
+
"learning_rate": 9.985884939360873e-06,
|
211 |
+
"loss": 0.3651,
|
212 |
+
"step": 29
|
213 |
+
},
|
214 |
+
{
|
215 |
+
"epoch": 0.12875536480686695,
|
216 |
+
"grad_norm": 5.188531398773193,
|
217 |
+
"learning_rate": 9.979678522550382e-06,
|
218 |
+
"loss": 0.3329,
|
219 |
+
"step": 30
|
220 |
+
},
|
221 |
+
{
|
222 |
+
"epoch": 0.13304721030042918,
|
223 |
+
"grad_norm": 10.757170677185059,
|
224 |
+
"learning_rate": 9.972346981963546e-06,
|
225 |
+
"loss": 0.3351,
|
226 |
+
"step": 31
|
227 |
+
},
|
228 |
+
{
|
229 |
+
"epoch": 0.13733905579399142,
|
230 |
+
"grad_norm": 5.147034168243408,
|
231 |
+
"learning_rate": 9.963891974111042e-06,
|
232 |
+
"loss": 0.3193,
|
233 |
+
"step": 32
|
234 |
+
},
|
235 |
+
{
|
236 |
+
"epoch": 0.14163090128755365,
|
237 |
+
"grad_norm": 8.824125289916992,
|
238 |
+
"learning_rate": 9.95431540934317e-06,
|
239 |
+
"loss": 0.3167,
|
240 |
+
"step": 33
|
241 |
+
},
|
242 |
+
{
|
243 |
+
"epoch": 0.1459227467811159,
|
244 |
+
"grad_norm": 3.809666872024536,
|
245 |
+
"learning_rate": 9.943619451418225e-06,
|
246 |
+
"loss": 0.3238,
|
247 |
+
"step": 34
|
248 |
+
},
|
249 |
+
{
|
250 |
+
"epoch": 0.15021459227467812,
|
251 |
+
"grad_norm": 6.210383415222168,
|
252 |
+
"learning_rate": 9.931806517013612e-06,
|
253 |
+
"loss": 0.2888,
|
254 |
+
"step": 35
|
255 |
+
},
|
256 |
+
{
|
257 |
+
"epoch": 0.15450643776824036,
|
258 |
+
"grad_norm": 2.9546399116516113,
|
259 |
+
"learning_rate": 9.918879275179819e-06,
|
260 |
+
"loss": 0.2781,
|
261 |
+
"step": 36
|
262 |
+
},
|
263 |
+
{
|
264 |
+
"epoch": 0.15879828326180256,
|
265 |
+
"grad_norm": 2.7553744316101074,
|
266 |
+
"learning_rate": 9.904840646737346e-06,
|
267 |
+
"loss": 0.2936,
|
268 |
+
"step": 37
|
269 |
+
},
|
270 |
+
{
|
271 |
+
"epoch": 0.1630901287553648,
|
272 |
+
"grad_norm": 2.9384710788726807,
|
273 |
+
"learning_rate": 9.889693803616793e-06,
|
274 |
+
"loss": 0.3017,
|
275 |
+
"step": 38
|
276 |
+
},
|
277 |
+
{
|
278 |
+
"epoch": 0.16738197424892703,
|
279 |
+
"grad_norm": 3.0700764656066895,
|
280 |
+
"learning_rate": 9.873442168142158e-06,
|
281 |
+
"loss": 0.2803,
|
282 |
+
"step": 39
|
283 |
+
},
|
284 |
+
{
|
285 |
+
"epoch": 0.17167381974248927,
|
286 |
+
"grad_norm": 3.089503049850464,
|
287 |
+
"learning_rate": 9.856089412257605e-06,
|
288 |
+
"loss": 0.2679,
|
289 |
+
"step": 40
|
290 |
+
},
|
291 |
+
{
|
292 |
+
"epoch": 0.1759656652360515,
|
293 |
+
"grad_norm": 3.7180137634277344,
|
294 |
+
"learning_rate": 9.837639456697802e-06,
|
295 |
+
"loss": 0.2983,
|
296 |
+
"step": 41
|
297 |
+
},
|
298 |
+
{
|
299 |
+
"epoch": 0.18025751072961374,
|
300 |
+
"grad_norm": 2.5908358097076416,
|
301 |
+
"learning_rate": 9.818096470102067e-06,
|
302 |
+
"loss": 0.2669,
|
303 |
+
"step": 42
|
304 |
+
},
|
305 |
+
{
|
306 |
+
"epoch": 0.18454935622317598,
|
307 |
+
"grad_norm": 3.1205332279205322,
|
308 |
+
"learning_rate": 9.797464868072489e-06,
|
309 |
+
"loss": 0.2712,
|
310 |
+
"step": 43
|
311 |
+
},
|
312 |
+
{
|
313 |
+
"epoch": 0.1888412017167382,
|
314 |
+
"grad_norm": 2.6999526023864746,
|
315 |
+
"learning_rate": 9.775749312176249e-06,
|
316 |
+
"loss": 0.2755,
|
317 |
+
"step": 44
|
318 |
+
},
|
319 |
+
{
|
320 |
+
"epoch": 0.19313304721030042,
|
321 |
+
"grad_norm": 3.2999775409698486,
|
322 |
+
"learning_rate": 9.752954708892379e-06,
|
323 |
+
"loss": 0.2785,
|
324 |
+
"step": 45
|
325 |
+
},
|
326 |
+
{
|
327 |
+
"epoch": 0.19742489270386265,
|
328 |
+
"grad_norm": 3.793800115585327,
|
329 |
+
"learning_rate": 9.729086208503174e-06,
|
330 |
+
"loss": 0.2803,
|
331 |
+
"step": 46
|
332 |
+
},
|
333 |
+
{
|
334 |
+
"epoch": 0.2017167381974249,
|
335 |
+
"grad_norm": 2.8122568130493164,
|
336 |
+
"learning_rate": 9.704149203930522e-06,
|
337 |
+
"loss": 0.2819,
|
338 |
+
"step": 47
|
339 |
+
},
|
340 |
+
{
|
341 |
+
"epoch": 0.20600858369098712,
|
342 |
+
"grad_norm": 3.148585557937622,
|
343 |
+
"learning_rate": 9.67814932951741e-06,
|
344 |
+
"loss": 0.3123,
|
345 |
+
"step": 48
|
346 |
+
},
|
347 |
+
{
|
348 |
+
"epoch": 0.21030042918454936,
|
349 |
+
"grad_norm": 3.0467166900634766,
|
350 |
+
"learning_rate": 9.651092459754879e-06,
|
351 |
+
"loss": 0.3074,
|
352 |
+
"step": 49
|
353 |
+
},
|
354 |
+
{
|
355 |
+
"epoch": 0.2145922746781116,
|
356 |
+
"grad_norm": 2.846820831298828,
|
357 |
+
"learning_rate": 9.622984707954732e-06,
|
358 |
+
"loss": 0.2867,
|
359 |
+
"step": 50
|
360 |
+
},
|
361 |
+
{
|
362 |
+
"epoch": 0.21888412017167383,
|
363 |
+
"grad_norm": 3.011904239654541,
|
364 |
+
"learning_rate": 9.593832424868271e-06,
|
365 |
+
"loss": 0.2857,
|
366 |
+
"step": 51
|
367 |
+
},
|
368 |
+
{
|
369 |
+
"epoch": 0.22317596566523606,
|
370 |
+
"grad_norm": 3.032160758972168,
|
371 |
+
"learning_rate": 9.563642197251382e-06,
|
372 |
+
"loss": 0.312,
|
373 |
+
"step": 52
|
374 |
+
},
|
375 |
+
{
|
376 |
+
"epoch": 0.22746781115879827,
|
377 |
+
"grad_norm": 3.2738237380981445,
|
378 |
+
"learning_rate": 9.532420846376316e-06,
|
379 |
+
"loss": 0.273,
|
380 |
+
"step": 53
|
381 |
+
},
|
382 |
+
{
|
383 |
+
"epoch": 0.2317596566523605,
|
384 |
+
"grad_norm": 2.755352735519409,
|
385 |
+
"learning_rate": 9.500175426490455e-06,
|
386 |
+
"loss": 0.2749,
|
387 |
+
"step": 54
|
388 |
+
},
|
389 |
+
{
|
390 |
+
"epoch": 0.23605150214592274,
|
391 |
+
"grad_norm": 2.5805509090423584,
|
392 |
+
"learning_rate": 9.466913223222467e-06,
|
393 |
+
"loss": 0.2828,
|
394 |
+
"step": 55
|
395 |
+
},
|
396 |
+
{
|
397 |
+
"epoch": 0.24034334763948498,
|
398 |
+
"grad_norm": 2.1449105739593506,
|
399 |
+
"learning_rate": 9.432641751936162e-06,
|
400 |
+
"loss": 0.2776,
|
401 |
+
"step": 56
|
402 |
+
},
|
403 |
+
{
|
404 |
+
"epoch": 0.2446351931330472,
|
405 |
+
"grad_norm": 2.747648000717163,
|
406 |
+
"learning_rate": 9.397368756032445e-06,
|
407 |
+
"loss": 0.2859,
|
408 |
+
"step": 57
|
409 |
+
},
|
410 |
+
{
|
411 |
+
"epoch": 0.24892703862660945,
|
412 |
+
"grad_norm": 2.4565420150756836,
|
413 |
+
"learning_rate": 9.361102205199762e-06,
|
414 |
+
"loss": 0.2987,
|
415 |
+
"step": 58
|
416 |
+
},
|
417 |
+
{
|
418 |
+
"epoch": 0.2532188841201717,
|
419 |
+
"grad_norm": 2.3403310775756836,
|
420 |
+
"learning_rate": 9.32385029361338e-06,
|
421 |
+
"loss": 0.2766,
|
422 |
+
"step": 59
|
423 |
+
},
|
424 |
+
{
|
425 |
+
"epoch": 0.2575107296137339,
|
426 |
+
"grad_norm": 2.400320053100586,
|
427 |
+
"learning_rate": 9.285621438083997e-06,
|
428 |
+
"loss": 0.2477,
|
429 |
+
"step": 60
|
430 |
+
},
|
431 |
+
{
|
432 |
+
"epoch": 0.26180257510729615,
|
433 |
+
"grad_norm": 2.79807710647583,
|
434 |
+
"learning_rate": 9.246424276156008e-06,
|
435 |
+
"loss": 0.2699,
|
436 |
+
"step": 61
|
437 |
+
},
|
438 |
+
{
|
439 |
+
"epoch": 0.26609442060085836,
|
440 |
+
"grad_norm": 2.786733627319336,
|
441 |
+
"learning_rate": 9.206267664155906e-06,
|
442 |
+
"loss": 0.2822,
|
443 |
+
"step": 62
|
444 |
+
},
|
445 |
+
{
|
446 |
+
"epoch": 0.2703862660944206,
|
447 |
+
"grad_norm": 2.586775302886963,
|
448 |
+
"learning_rate": 9.165160675191272e-06,
|
449 |
+
"loss": 0.2739,
|
450 |
+
"step": 63
|
451 |
+
},
|
452 |
+
{
|
453 |
+
"epoch": 0.27467811158798283,
|
454 |
+
"grad_norm": 2.561934471130371,
|
455 |
+
"learning_rate": 9.123112597100759e-06,
|
456 |
+
"loss": 0.2809,
|
457 |
+
"step": 64
|
458 |
+
},
|
459 |
+
{
|
460 |
+
"epoch": 0.27896995708154504,
|
461 |
+
"grad_norm": 2.8930823802948,
|
462 |
+
"learning_rate": 9.080132930355567e-06,
|
463 |
+
"loss": 0.2733,
|
464 |
+
"step": 65
|
465 |
+
},
|
466 |
+
{
|
467 |
+
"epoch": 0.2832618025751073,
|
468 |
+
"grad_norm": 2.4183900356292725,
|
469 |
+
"learning_rate": 9.03623138591289e-06,
|
470 |
+
"loss": 0.2667,
|
471 |
+
"step": 66
|
472 |
+
},
|
473 |
+
{
|
474 |
+
"epoch": 0.2875536480686695,
|
475 |
+
"grad_norm": 2.3127546310424805,
|
476 |
+
"learning_rate": 8.99141788302178e-06,
|
477 |
+
"loss": 0.2586,
|
478 |
+
"step": 67
|
479 |
+
},
|
480 |
+
{
|
481 |
+
"epoch": 0.2918454935622318,
|
482 |
+
"grad_norm": 1.8758937120437622,
|
483 |
+
"learning_rate": 8.94570254698197e-06,
|
484 |
+
"loss": 0.2411,
|
485 |
+
"step": 68
|
486 |
+
},
|
487 |
+
{
|
488 |
+
"epoch": 0.296137339055794,
|
489 |
+
"grad_norm": 2.9779796600341797,
|
490 |
+
"learning_rate": 8.899095706856122e-06,
|
491 |
+
"loss": 0.2645,
|
492 |
+
"step": 69
|
493 |
+
},
|
494 |
+
{
|
495 |
+
"epoch": 0.30042918454935624,
|
496 |
+
"grad_norm": 2.948882579803467,
|
497 |
+
"learning_rate": 8.851607893136065e-06,
|
498 |
+
"loss": 0.2872,
|
499 |
+
"step": 70
|
500 |
+
},
|
501 |
+
{
|
502 |
+
"epoch": 0.30472103004291845,
|
503 |
+
"grad_norm": 2.4292919635772705,
|
504 |
+
"learning_rate": 8.803249835363486e-06,
|
505 |
+
"loss": 0.247,
|
506 |
+
"step": 71
|
507 |
+
},
|
508 |
+
{
|
509 |
+
"epoch": 0.3090128755364807,
|
510 |
+
"grad_norm": 2.62158465385437,
|
511 |
+
"learning_rate": 8.754032459705672e-06,
|
512 |
+
"loss": 0.2903,
|
513 |
+
"step": 72
|
514 |
+
},
|
515 |
+
{
|
516 |
+
"epoch": 0.3133047210300429,
|
517 |
+
"grad_norm": 2.522172451019287,
|
518 |
+
"learning_rate": 8.703966886486819e-06,
|
519 |
+
"loss": 0.2734,
|
520 |
+
"step": 73
|
521 |
+
},
|
522 |
+
{
|
523 |
+
"epoch": 0.31759656652360513,
|
524 |
+
"grad_norm": 2.3345656394958496,
|
525 |
+
"learning_rate": 8.65306442767547e-06,
|
526 |
+
"loss": 0.2551,
|
527 |
+
"step": 74
|
528 |
+
},
|
529 |
+
{
|
530 |
+
"epoch": 0.3218884120171674,
|
531 |
+
"grad_norm": 2.487061023712158,
|
532 |
+
"learning_rate": 8.601336584328659e-06,
|
533 |
+
"loss": 0.2848,
|
534 |
+
"step": 75
|
535 |
+
},
|
536 |
+
{
|
537 |
+
"epoch": 0.3261802575107296,
|
538 |
+
"grad_norm": 2.012143611907959,
|
539 |
+
"learning_rate": 8.548795043993316e-06,
|
540 |
+
"loss": 0.2493,
|
541 |
+
"step": 76
|
542 |
+
},
|
543 |
+
{
|
544 |
+
"epoch": 0.33047210300429186,
|
545 |
+
"grad_norm": 2.668299436569214,
|
546 |
+
"learning_rate": 8.495451678065563e-06,
|
547 |
+
"loss": 0.284,
|
548 |
+
"step": 77
|
549 |
+
},
|
550 |
+
{
|
551 |
+
"epoch": 0.33476394849785407,
|
552 |
+
"grad_norm": 2.1952147483825684,
|
553 |
+
"learning_rate": 8.441318539108433e-06,
|
554 |
+
"loss": 0.2868,
|
555 |
+
"step": 78
|
556 |
+
},
|
557 |
+
{
|
558 |
+
"epoch": 0.33905579399141633,
|
559 |
+
"grad_norm": 2.1798348426818848,
|
560 |
+
"learning_rate": 8.386407858128707e-06,
|
561 |
+
"loss": 0.2732,
|
562 |
+
"step": 79
|
563 |
+
},
|
564 |
+
{
|
565 |
+
"epoch": 0.34334763948497854,
|
566 |
+
"grad_norm": 2.0891451835632324,
|
567 |
+
"learning_rate": 8.330732041813367e-06,
|
568 |
+
"loss": 0.2509,
|
569 |
+
"step": 80
|
570 |
+
},
|
571 |
+
{
|
572 |
+
"epoch": 0.34763948497854075,
|
573 |
+
"grad_norm": 2.444913148880005,
|
574 |
+
"learning_rate": 8.274303669726427e-06,
|
575 |
+
"loss": 0.2836,
|
576 |
+
"step": 81
|
577 |
+
},
|
578 |
+
{
|
579 |
+
"epoch": 0.351931330472103,
|
580 |
+
"grad_norm": 2.4908130168914795,
|
581 |
+
"learning_rate": 8.217135491466636e-06,
|
582 |
+
"loss": 0.2891,
|
583 |
+
"step": 82
|
584 |
+
},
|
585 |
+
{
|
586 |
+
"epoch": 0.3562231759656652,
|
587 |
+
"grad_norm": 2.058657169342041,
|
588 |
+
"learning_rate": 8.15924042378682e-06,
|
589 |
+
"loss": 0.2482,
|
590 |
+
"step": 83
|
591 |
+
},
|
592 |
+
{
|
593 |
+
"epoch": 0.3605150214592275,
|
594 |
+
"grad_norm": 1.9691925048828125,
|
595 |
+
"learning_rate": 8.100631547675417e-06,
|
596 |
+
"loss": 0.2429,
|
597 |
+
"step": 84
|
598 |
+
},
|
599 |
+
{
|
600 |
+
"epoch": 0.3648068669527897,
|
601 |
+
"grad_norm": 2.1856772899627686,
|
602 |
+
"learning_rate": 8.041322105400923e-06,
|
603 |
+
"loss": 0.2823,
|
604 |
+
"step": 85
|
605 |
+
},
|
606 |
+
{
|
607 |
+
"epoch": 0.36909871244635195,
|
608 |
+
"grad_norm": 2.004932165145874,
|
609 |
+
"learning_rate": 7.981325497519892e-06,
|
610 |
+
"loss": 0.2552,
|
611 |
+
"step": 86
|
612 |
+
},
|
613 |
+
{
|
614 |
+
"epoch": 0.37339055793991416,
|
615 |
+
"grad_norm": 2.2658703327178955,
|
616 |
+
"learning_rate": 7.920655279849173e-06,
|
617 |
+
"loss": 0.264,
|
618 |
+
"step": 87
|
619 |
+
},
|
620 |
+
{
|
621 |
+
"epoch": 0.3776824034334764,
|
622 |
+
"grad_norm": 2.124732255935669,
|
623 |
+
"learning_rate": 7.859325160403073e-06,
|
624 |
+
"loss": 0.2842,
|
625 |
+
"step": 88
|
626 |
+
},
|
627 |
+
{
|
628 |
+
"epoch": 0.38197424892703863,
|
629 |
+
"grad_norm": 2.223417043685913,
|
630 |
+
"learning_rate": 7.797348996296116e-06,
|
631 |
+
"loss": 0.2552,
|
632 |
+
"step": 89
|
633 |
+
},
|
634 |
+
{
|
635 |
+
"epoch": 0.38626609442060084,
|
636 |
+
"grad_norm": 2.6624255180358887,
|
637 |
+
"learning_rate": 7.734740790612137e-06,
|
638 |
+
"loss": 0.2935,
|
639 |
+
"step": 90
|
640 |
+
},
|
641 |
+
{
|
642 |
+
"epoch": 0.3905579399141631,
|
643 |
+
"grad_norm": 3.1369097232818604,
|
644 |
+
"learning_rate": 7.671514689240366e-06,
|
645 |
+
"loss": 0.2568,
|
646 |
+
"step": 91
|
647 |
+
},
|
648 |
+
{
|
649 |
+
"epoch": 0.3948497854077253,
|
650 |
+
"grad_norm": 2.0869433879852295,
|
651 |
+
"learning_rate": 7.607684977679284e-06,
|
652 |
+
"loss": 0.2414,
|
653 |
+
"step": 92
|
654 |
+
},
|
655 |
+
{
|
656 |
+
"epoch": 0.39914163090128757,
|
657 |
+
"grad_norm": 2.3208043575286865,
|
658 |
+
"learning_rate": 7.543266077808893e-06,
|
659 |
+
"loss": 0.2272,
|
660 |
+
"step": 93
|
661 |
+
},
|
662 |
+
{
|
663 |
+
"epoch": 0.4034334763948498,
|
664 |
+
"grad_norm": 2.5530765056610107,
|
665 |
+
"learning_rate": 7.478272544632204e-06,
|
666 |
+
"loss": 0.2636,
|
667 |
+
"step": 94
|
668 |
+
},
|
669 |
+
{
|
670 |
+
"epoch": 0.40772532188841204,
|
671 |
+
"grad_norm": 2.2211928367614746,
|
672 |
+
"learning_rate": 7.412719062986632e-06,
|
673 |
+
"loss": 0.282,
|
674 |
+
"step": 95
|
675 |
+
},
|
676 |
+
{
|
677 |
+
"epoch": 0.41201716738197425,
|
678 |
+
"grad_norm": 1.9540337324142456,
|
679 |
+
"learning_rate": 7.3466204442260605e-06,
|
680 |
+
"loss": 0.2303,
|
681 |
+
"step": 96
|
682 |
+
},
|
683 |
+
{
|
684 |
+
"epoch": 0.41630901287553645,
|
685 |
+
"grad_norm": 2.4863698482513428,
|
686 |
+
"learning_rate": 7.279991622874319e-06,
|
687 |
+
"loss": 0.2969,
|
688 |
+
"step": 97
|
689 |
+
},
|
690 |
+
{
|
691 |
+
"epoch": 0.4206008583690987,
|
692 |
+
"grad_norm": 1.811273217201233,
|
693 |
+
"learning_rate": 7.212847653250828e-06,
|
694 |
+
"loss": 0.2439,
|
695 |
+
"step": 98
|
696 |
+
},
|
697 |
+
{
|
698 |
+
"epoch": 0.4248927038626609,
|
699 |
+
"grad_norm": 1.7187399864196777,
|
700 |
+
"learning_rate": 7.145203706069183e-06,
|
701 |
+
"loss": 0.2353,
|
702 |
+
"step": 99
|
703 |
+
},
|
704 |
+
{
|
705 |
+
"epoch": 0.4291845493562232,
|
706 |
+
"grad_norm": 2.329214572906494,
|
707 |
+
"learning_rate": 7.0770750650094335e-06,
|
708 |
+
"loss": 0.2718,
|
709 |
+
"step": 100
|
710 |
+
},
|
711 |
+
{
|
712 |
+
"epoch": 0.4334763948497854,
|
713 |
+
"grad_norm": 2.300833225250244,
|
714 |
+
"learning_rate": 7.008477123264849e-06,
|
715 |
+
"loss": 0.2815,
|
716 |
+
"step": 101
|
717 |
+
},
|
718 |
+
{
|
719 |
+
"epoch": 0.43776824034334766,
|
720 |
+
"grad_norm": 2.1259753704071045,
|
721 |
+
"learning_rate": 6.939425380063924e-06,
|
722 |
+
"loss": 0.2544,
|
723 |
+
"step": 102
|
724 |
+
},
|
725 |
+
{
|
726 |
+
"epoch": 0.44206008583690987,
|
727 |
+
"grad_norm": 2.159365177154541,
|
728 |
+
"learning_rate": 6.869935437168449e-06,
|
729 |
+
"loss": 0.2632,
|
730 |
+
"step": 103
|
731 |
+
},
|
732 |
+
{
|
733 |
+
"epoch": 0.44635193133047213,
|
734 |
+
"grad_norm": 2.122368812561035,
|
735 |
+
"learning_rate": 6.800022995348381e-06,
|
736 |
+
"loss": 0.2562,
|
737 |
+
"step": 104
|
738 |
+
},
|
739 |
+
{
|
740 |
+
"epoch": 0.45064377682403434,
|
741 |
+
"grad_norm": 1.8842718601226807,
|
742 |
+
"learning_rate": 6.729703850834381e-06,
|
743 |
+
"loss": 0.2687,
|
744 |
+
"step": 105
|
745 |
+
},
|
746 |
+
{
|
747 |
+
"epoch": 0.45493562231759654,
|
748 |
+
"grad_norm": 1.6606192588806152,
|
749 |
+
"learning_rate": 6.65899389174876e-06,
|
750 |
+
"loss": 0.2289,
|
751 |
+
"step": 106
|
752 |
+
},
|
753 |
+
{
|
754 |
+
"epoch": 0.4592274678111588,
|
755 |
+
"grad_norm": 2.395519256591797,
|
756 |
+
"learning_rate": 6.587909094515663e-06,
|
757 |
+
"loss": 0.2487,
|
758 |
+
"step": 107
|
759 |
+
},
|
760 |
+
{
|
761 |
+
"epoch": 0.463519313304721,
|
762 |
+
"grad_norm": 1.7725951671600342,
|
763 |
+
"learning_rate": 6.5164655202513135e-06,
|
764 |
+
"loss": 0.2341,
|
765 |
+
"step": 108
|
766 |
+
},
|
767 |
+
{
|
768 |
+
"epoch": 0.4678111587982833,
|
769 |
+
"grad_norm": 2.764538288116455,
|
770 |
+
"learning_rate": 6.444679311135112e-06,
|
771 |
+
"loss": 0.2704,
|
772 |
+
"step": 109
|
773 |
+
},
|
774 |
+
{
|
775 |
+
"epoch": 0.4721030042918455,
|
776 |
+
"grad_norm": 2.5796592235565186,
|
777 |
+
"learning_rate": 6.372566686762427e-06,
|
778 |
+
"loss": 0.2878,
|
779 |
+
"step": 110
|
780 |
+
},
|
781 |
+
{
|
782 |
+
"epoch": 0.47639484978540775,
|
783 |
+
"grad_norm": 2.3967843055725098,
|
784 |
+
"learning_rate": 6.300143940479881e-06,
|
785 |
+
"loss": 0.2606,
|
786 |
+
"step": 111
|
787 |
+
},
|
788 |
+
{
|
789 |
+
"epoch": 0.48068669527896996,
|
790 |
+
"grad_norm": 2.054126739501953,
|
791 |
+
"learning_rate": 6.227427435703997e-06,
|
792 |
+
"loss": 0.2278,
|
793 |
+
"step": 112
|
794 |
+
},
|
795 |
+
{
|
796 |
+
"epoch": 0.48497854077253216,
|
797 |
+
"grad_norm": 2.0056793689727783,
|
798 |
+
"learning_rate": 6.154433602223979e-06,
|
799 |
+
"loss": 0.2131,
|
800 |
+
"step": 113
|
801 |
+
},
|
802 |
+
{
|
803 |
+
"epoch": 0.4892703862660944,
|
804 |
+
"grad_norm": 2.2301571369171143,
|
805 |
+
"learning_rate": 6.0811789324895365e-06,
|
806 |
+
"loss": 0.2437,
|
807 |
+
"step": 114
|
808 |
+
},
|
809 |
+
{
|
810 |
+
"epoch": 0.49356223175965663,
|
811 |
+
"grad_norm": 2.192481517791748,
|
812 |
+
"learning_rate": 6.0076799778845105e-06,
|
813 |
+
"loss": 0.2484,
|
814 |
+
"step": 115
|
815 |
+
},
|
816 |
+
{
|
817 |
+
"epoch": 0.4978540772532189,
|
818 |
+
"grad_norm": 1.9841991662979126,
|
819 |
+
"learning_rate": 5.933953344987215e-06,
|
820 |
+
"loss": 0.2561,
|
821 |
+
"step": 116
|
822 |
+
},
|
823 |
+
{
|
824 |
+
"epoch": 0.5021459227467812,
|
825 |
+
"grad_norm": 2.0496819019317627,
|
826 |
+
"learning_rate": 5.860015691818292e-06,
|
827 |
+
"loss": 0.2586,
|
828 |
+
"step": 117
|
829 |
+
},
|
830 |
+
{
|
831 |
+
"epoch": 0.5064377682403434,
|
832 |
+
"grad_norm": 1.8923070430755615,
|
833 |
+
"learning_rate": 5.78588372407695e-06,
|
834 |
+
"loss": 0.2329,
|
835 |
+
"step": 118
|
836 |
+
},
|
837 |
+
{
|
838 |
+
"epoch": 0.5107296137339056,
|
839 |
+
"grad_norm": 1.734017252922058,
|
840 |
+
"learning_rate": 5.711574191366427e-06,
|
841 |
+
"loss": 0.2484,
|
842 |
+
"step": 119
|
843 |
+
},
|
844 |
+
{
|
845 |
+
"epoch": 0.5150214592274678,
|
846 |
+
"grad_norm": 1.7440507411956787,
|
847 |
+
"learning_rate": 5.637103883409525e-06,
|
848 |
+
"loss": 0.231,
|
849 |
+
"step": 120
|
850 |
+
},
|
851 |
+
{
|
852 |
+
"epoch": 0.51931330472103,
|
853 |
+
"grad_norm": 2.1365606784820557,
|
854 |
+
"learning_rate": 5.562489626255104e-06,
|
855 |
+
"loss": 0.2572,
|
856 |
+
"step": 121
|
857 |
+
},
|
858 |
+
{
|
859 |
+
"epoch": 0.5236051502145923,
|
860 |
+
"grad_norm": 2.0460870265960693,
|
861 |
+
"learning_rate": 5.487748278476342e-06,
|
862 |
+
"loss": 0.2535,
|
863 |
+
"step": 122
|
864 |
+
},
|
865 |
+
{
|
866 |
+
"epoch": 0.5278969957081545,
|
867 |
+
"grad_norm": 1.7586556673049927,
|
868 |
+
"learning_rate": 5.412896727361663e-06,
|
869 |
+
"loss": 0.2112,
|
870 |
+
"step": 123
|
871 |
+
},
|
872 |
+
{
|
873 |
+
"epoch": 0.5321888412017167,
|
874 |
+
"grad_norm": 2.070552110671997,
|
875 |
+
"learning_rate": 5.337951885099167e-06,
|
876 |
+
"loss": 0.2179,
|
877 |
+
"step": 124
|
878 |
+
},
|
879 |
+
{
|
880 |
+
"epoch": 0.5364806866952789,
|
881 |
+
"grad_norm": 1.604686975479126,
|
882 |
+
"learning_rate": 5.262930684955439e-06,
|
883 |
+
"loss": 0.2321,
|
884 |
+
"step": 125
|
885 |
+
},
|
886 |
+
{
|
887 |
+
"epoch": 0.5407725321888412,
|
888 |
+
"grad_norm": 2.326280117034912,
|
889 |
+
"learning_rate": 5.187850077449604e-06,
|
890 |
+
"loss": 0.2568,
|
891 |
+
"step": 126
|
892 |
+
},
|
893 |
+
{
|
894 |
+
"epoch": 0.5450643776824035,
|
895 |
+
"grad_norm": 2.1093199253082275,
|
896 |
+
"learning_rate": 5.112727026523461e-06,
|
897 |
+
"loss": 0.22,
|
898 |
+
"step": 127
|
899 |
+
},
|
900 |
+
{
|
901 |
+
"epoch": 0.5493562231759657,
|
902 |
+
"grad_norm": 1.8710286617279053,
|
903 |
+
"learning_rate": 5.03757850570861e-06,
|
904 |
+
"loss": 0.242,
|
905 |
+
"step": 128
|
906 |
+
},
|
907 |
+
{
|
908 |
+
"epoch": 0.5536480686695279,
|
909 |
+
"grad_norm": 1.5934395790100098,
|
910 |
+
"learning_rate": 4.9624214942913916e-06,
|
911 |
+
"loss": 0.2369,
|
912 |
+
"step": 129
|
913 |
+
},
|
914 |
+
{
|
915 |
+
"epoch": 0.5579399141630901,
|
916 |
+
"grad_norm": 1.6365737915039062,
|
917 |
+
"learning_rate": 4.88727297347654e-06,
|
918 |
+
"loss": 0.2463,
|
919 |
+
"step": 130
|
920 |
+
},
|
921 |
+
{
|
922 |
+
"epoch": 0.5622317596566524,
|
923 |
+
"grad_norm": 1.8989615440368652,
|
924 |
+
"learning_rate": 4.8121499225503974e-06,
|
925 |
+
"loss": 0.2265,
|
926 |
+
"step": 131
|
927 |
+
},
|
928 |
+
{
|
929 |
+
"epoch": 0.5665236051502146,
|
930 |
+
"grad_norm": 1.747003436088562,
|
931 |
+
"learning_rate": 4.737069315044562e-06,
|
932 |
+
"loss": 0.2292,
|
933 |
+
"step": 132
|
934 |
+
},
|
935 |
+
{
|
936 |
+
"epoch": 0.5708154506437768,
|
937 |
+
"grad_norm": 2.0357205867767334,
|
938 |
+
"learning_rate": 4.662048114900837e-06,
|
939 |
+
"loss": 0.2605,
|
940 |
+
"step": 133
|
941 |
+
},
|
942 |
+
{
|
943 |
+
"epoch": 0.575107296137339,
|
944 |
+
"grad_norm": 2.0515100955963135,
|
945 |
+
"learning_rate": 4.587103272638339e-06,
|
946 |
+
"loss": 0.2586,
|
947 |
+
"step": 134
|
948 |
+
},
|
949 |
+
{
|
950 |
+
"epoch": 0.5793991416309013,
|
951 |
+
"grad_norm": 1.8800376653671265,
|
952 |
+
"learning_rate": 4.512251721523659e-06,
|
953 |
+
"loss": 0.2161,
|
954 |
+
"step": 135
|
955 |
+
},
|
956 |
+
{
|
957 |
+
"epoch": 0.5836909871244635,
|
958 |
+
"grad_norm": 2.1146693229675293,
|
959 |
+
"learning_rate": 4.437510373744897e-06,
|
960 |
+
"loss": 0.2449,
|
961 |
+
"step": 136
|
962 |
+
},
|
963 |
+
{
|
964 |
+
"epoch": 0.5879828326180258,
|
965 |
+
"grad_norm": 1.944589376449585,
|
966 |
+
"learning_rate": 4.362896116590475e-06,
|
967 |
+
"loss": 0.2438,
|
968 |
+
"step": 137
|
969 |
+
},
|
970 |
+
{
|
971 |
+
"epoch": 0.592274678111588,
|
972 |
+
"grad_norm": 2.022193431854248,
|
973 |
+
"learning_rate": 4.2884258086335755e-06,
|
974 |
+
"loss": 0.2528,
|
975 |
+
"step": 138
|
976 |
+
},
|
977 |
+
{
|
978 |
+
"epoch": 0.5965665236051502,
|
979 |
+
"grad_norm": 1.5787066221237183,
|
980 |
+
"learning_rate": 4.214116275923051e-06,
|
981 |
+
"loss": 0.2198,
|
982 |
+
"step": 139
|
983 |
+
},
|
984 |
+
{
|
985 |
+
"epoch": 0.6008583690987125,
|
986 |
+
"grad_norm": 2.127326726913452,
|
987 |
+
"learning_rate": 4.1399843081817085e-06,
|
988 |
+
"loss": 0.2428,
|
989 |
+
"step": 140
|
990 |
+
},
|
991 |
+
{
|
992 |
+
"epoch": 0.6051502145922747,
|
993 |
+
"grad_norm": 1.6171480417251587,
|
994 |
+
"learning_rate": 4.066046655012786e-06,
|
995 |
+
"loss": 0.2361,
|
996 |
+
"step": 141
|
997 |
+
},
|
998 |
+
{
|
999 |
+
"epoch": 0.6094420600858369,
|
1000 |
+
"grad_norm": 1.6328740119934082,
|
1001 |
+
"learning_rate": 3.992320022115492e-06,
|
1002 |
+
"loss": 0.2333,
|
1003 |
+
"step": 142
|
1004 |
+
},
|
1005 |
+
{
|
1006 |
+
"epoch": 0.6137339055793991,
|
1007 |
+
"grad_norm": 1.5752973556518555,
|
1008 |
+
"learning_rate": 3.918821067510464e-06,
|
1009 |
+
"loss": 0.2159,
|
1010 |
+
"step": 143
|
1011 |
+
},
|
1012 |
+
{
|
1013 |
+
"epoch": 0.6180257510729614,
|
1014 |
+
"grad_norm": 2.487964630126953,
|
1015 |
+
"learning_rate": 3.845566397776022e-06,
|
1016 |
+
"loss": 0.2619,
|
1017 |
+
"step": 144
|
1018 |
+
},
|
1019 |
+
{
|
1020 |
+
"epoch": 0.6223175965665236,
|
1021 |
+
"grad_norm": 2.5639259815216064,
|
1022 |
+
"learning_rate": 3.7725725642960047e-06,
|
1023 |
+
"loss": 0.2361,
|
1024 |
+
"step": 145
|
1025 |
+
},
|
1026 |
+
{
|
1027 |
+
"epoch": 0.6266094420600858,
|
1028 |
+
"grad_norm": 1.714277982711792,
|
1029 |
+
"learning_rate": 3.6998560595201188e-06,
|
1030 |
+
"loss": 0.2218,
|
1031 |
+
"step": 146
|
1032 |
+
},
|
1033 |
+
{
|
1034 |
+
"epoch": 0.630901287553648,
|
1035 |
+
"grad_norm": 1.72953462600708,
|
1036 |
+
"learning_rate": 3.627433313237576e-06,
|
1037 |
+
"loss": 0.237,
|
1038 |
+
"step": 147
|
1039 |
+
},
|
1040 |
+
{
|
1041 |
+
"epoch": 0.6351931330472103,
|
1042 |
+
"grad_norm": 1.7776756286621094,
|
1043 |
+
"learning_rate": 3.555320688864889e-06,
|
1044 |
+
"loss": 0.2291,
|
1045 |
+
"step": 148
|
1046 |
+
},
|
1047 |
+
{
|
1048 |
+
"epoch": 0.6394849785407726,
|
1049 |
+
"grad_norm": 1.651568055152893,
|
1050 |
+
"learning_rate": 3.483534479748688e-06,
|
1051 |
+
"loss": 0.2326,
|
1052 |
+
"step": 149
|
1053 |
+
},
|
1054 |
+
{
|
1055 |
+
"epoch": 0.6437768240343348,
|
1056 |
+
"grad_norm": 1.5333776473999023,
|
1057 |
+
"learning_rate": 3.4120909054843375e-06,
|
1058 |
+
"loss": 0.1999,
|
1059 |
+
"step": 150
|
1060 |
+
},
|
1061 |
+
{
|
1062 |
+
"epoch": 0.648068669527897,
|
1063 |
+
"grad_norm": 1.4129211902618408,
|
1064 |
+
"learning_rate": 3.3410061082512422e-06,
|
1065 |
+
"loss": 0.2014,
|
1066 |
+
"step": 151
|
1067 |
+
},
|
1068 |
+
{
|
1069 |
+
"epoch": 0.6523605150214592,
|
1070 |
+
"grad_norm": 1.9737615585327148,
|
1071 |
+
"learning_rate": 3.2702961491656197e-06,
|
1072 |
+
"loss": 0.2184,
|
1073 |
+
"step": 152
|
1074 |
+
},
|
1075 |
+
{
|
1076 |
+
"epoch": 0.6566523605150214,
|
1077 |
+
"grad_norm": 1.5220732688903809,
|
1078 |
+
"learning_rate": 3.1999770046516198e-06,
|
1079 |
+
"loss": 0.2179,
|
1080 |
+
"step": 153
|
1081 |
+
},
|
1082 |
+
{
|
1083 |
+
"epoch": 0.6609442060085837,
|
1084 |
+
"grad_norm": 1.649389386177063,
|
1085 |
+
"learning_rate": 3.130064562831553e-06,
|
1086 |
+
"loss": 0.2097,
|
1087 |
+
"step": 154
|
1088 |
+
},
|
1089 |
+
{
|
1090 |
+
"epoch": 0.6652360515021459,
|
1091 |
+
"grad_norm": 1.6441725492477417,
|
1092 |
+
"learning_rate": 3.0605746199360755e-06,
|
1093 |
+
"loss": 0.2267,
|
1094 |
+
"step": 155
|
1095 |
+
},
|
1096 |
+
{
|
1097 |
+
"epoch": 0.6695278969957081,
|
1098 |
+
"grad_norm": 1.4296993017196655,
|
1099 |
+
"learning_rate": 2.991522876735154e-06,
|
1100 |
+
"loss": 0.2149,
|
1101 |
+
"step": 156
|
1102 |
+
},
|
1103 |
+
{
|
1104 |
+
"epoch": 0.6738197424892703,
|
1105 |
+
"grad_norm": 2.1046576499938965,
|
1106 |
+
"learning_rate": 2.9229249349905686e-06,
|
1107 |
+
"loss": 0.2447,
|
1108 |
+
"step": 157
|
1109 |
+
},
|
1110 |
+
{
|
1111 |
+
"epoch": 0.6781115879828327,
|
1112 |
+
"grad_norm": 1.5854638814926147,
|
1113 |
+
"learning_rate": 2.8547962939308187e-06,
|
1114 |
+
"loss": 0.2071,
|
1115 |
+
"step": 158
|
1116 |
+
},
|
1117 |
+
{
|
1118 |
+
"epoch": 0.6824034334763949,
|
1119 |
+
"grad_norm": 1.6980681419372559,
|
1120 |
+
"learning_rate": 2.787152346749173e-06,
|
1121 |
+
"loss": 0.2211,
|
1122 |
+
"step": 159
|
1123 |
+
},
|
1124 |
+
{
|
1125 |
+
"epoch": 0.6866952789699571,
|
1126 |
+
"grad_norm": 1.6970704793930054,
|
1127 |
+
"learning_rate": 2.720008377125682e-06,
|
1128 |
+
"loss": 0.2156,
|
1129 |
+
"step": 160
|
1130 |
+
},
|
1131 |
+
{
|
1132 |
+
"epoch": 0.6909871244635193,
|
1133 |
+
"grad_norm": 1.894504427909851,
|
1134 |
+
"learning_rate": 2.6533795557739407e-06,
|
1135 |
+
"loss": 0.2499,
|
1136 |
+
"step": 161
|
1137 |
+
},
|
1138 |
+
{
|
1139 |
+
"epoch": 0.6952789699570815,
|
1140 |
+
"grad_norm": 1.8777060508728027,
|
1141 |
+
"learning_rate": 2.5872809370133704e-06,
|
1142 |
+
"loss": 0.2158,
|
1143 |
+
"step": 162
|
1144 |
+
},
|
1145 |
+
{
|
1146 |
+
"epoch": 0.6995708154506438,
|
1147 |
+
"grad_norm": 3.1802759170532227,
|
1148 |
+
"learning_rate": 2.5217274553677975e-06,
|
1149 |
+
"loss": 0.2248,
|
1150 |
+
"step": 163
|
1151 |
+
},
|
1152 |
+
{
|
1153 |
+
"epoch": 0.703862660944206,
|
1154 |
+
"grad_norm": 1.714854121208191,
|
1155 |
+
"learning_rate": 2.4567339221911086e-06,
|
1156 |
+
"loss": 0.2338,
|
1157 |
+
"step": 164
|
1158 |
+
},
|
1159 |
+
{
|
1160 |
+
"epoch": 0.7081545064377682,
|
1161 |
+
"grad_norm": 1.6652601957321167,
|
1162 |
+
"learning_rate": 2.3923150223207176e-06,
|
1163 |
+
"loss": 0.2411,
|
1164 |
+
"step": 165
|
1165 |
+
},
|
1166 |
+
{
|
1167 |
+
"epoch": 0.7124463519313304,
|
1168 |
+
"grad_norm": 1.497910976409912,
|
1169 |
+
"learning_rate": 2.328485310759635e-06,
|
1170 |
+
"loss": 0.2089,
|
1171 |
+
"step": 166
|
1172 |
+
},
|
1173 |
+
{
|
1174 |
+
"epoch": 0.7167381974248928,
|
1175 |
+
"grad_norm": 1.593087911605835,
|
1176 |
+
"learning_rate": 2.265259209387867e-06,
|
1177 |
+
"loss": 0.2284,
|
1178 |
+
"step": 167
|
1179 |
+
},
|
1180 |
+
{
|
1181 |
+
"epoch": 0.721030042918455,
|
1182 |
+
"grad_norm": 1.6965844631195068,
|
1183 |
+
"learning_rate": 2.202651003703885e-06,
|
1184 |
+
"loss": 0.2139,
|
1185 |
+
"step": 168
|
1186 |
+
},
|
1187 |
+
{
|
1188 |
+
"epoch": 0.7253218884120172,
|
1189 |
+
"grad_norm": 1.6895867586135864,
|
1190 |
+
"learning_rate": 2.140674839596931e-06,
|
1191 |
+
"loss": 0.209,
|
1192 |
+
"step": 169
|
1193 |
+
},
|
1194 |
+
{
|
1195 |
+
"epoch": 0.7296137339055794,
|
1196 |
+
"grad_norm": 1.9336439371109009,
|
1197 |
+
"learning_rate": 2.0793447201508288e-06,
|
1198 |
+
"loss": 0.2235,
|
1199 |
+
"step": 170
|
1200 |
+
},
|
1201 |
+
{
|
1202 |
+
"epoch": 0.7339055793991416,
|
1203 |
+
"grad_norm": 1.726787805557251,
|
1204 |
+
"learning_rate": 2.01867450248011e-06,
|
1205 |
+
"loss": 0.2363,
|
1206 |
+
"step": 171
|
1207 |
+
},
|
1208 |
+
{
|
1209 |
+
"epoch": 0.7381974248927039,
|
1210 |
+
"grad_norm": 1.6296881437301636,
|
1211 |
+
"learning_rate": 1.9586778945990785e-06,
|
1212 |
+
"loss": 0.2111,
|
1213 |
+
"step": 172
|
1214 |
+
},
|
1215 |
+
{
|
1216 |
+
"epoch": 0.7424892703862661,
|
1217 |
+
"grad_norm": 1.867713212966919,
|
1218 |
+
"learning_rate": 1.8993684523245842e-06,
|
1219 |
+
"loss": 0.2041,
|
1220 |
+
"step": 173
|
1221 |
+
},
|
1222 |
+
{
|
1223 |
+
"epoch": 0.7467811158798283,
|
1224 |
+
"grad_norm": 1.8173270225524902,
|
1225 |
+
"learning_rate": 1.8407595762131814e-06,
|
1226 |
+
"loss": 0.254,
|
1227 |
+
"step": 174
|
1228 |
+
},
|
1229 |
+
{
|
1230 |
+
"epoch": 0.7510729613733905,
|
1231 |
+
"grad_norm": 1.9783226251602173,
|
1232 |
+
"learning_rate": 1.7828645085333645e-06,
|
1233 |
+
"loss": 0.2478,
|
1234 |
+
"step": 175
|
1235 |
+
},
|
1236 |
+
{
|
1237 |
+
"epoch": 0.7553648068669528,
|
1238 |
+
"grad_norm": 1.5777461528778076,
|
1239 |
+
"learning_rate": 1.7256963302735752e-06,
|
1240 |
+
"loss": 0.2382,
|
1241 |
+
"step": 176
|
1242 |
+
},
|
1243 |
+
{
|
1244 |
+
"epoch": 0.759656652360515,
|
1245 |
+
"grad_norm": 1.6963618993759155,
|
1246 |
+
"learning_rate": 1.6692679581866334e-06,
|
1247 |
+
"loss": 0.2268,
|
1248 |
+
"step": 177
|
1249 |
+
},
|
1250 |
+
{
|
1251 |
+
"epoch": 0.7639484978540773,
|
1252 |
+
"grad_norm": 1.4376635551452637,
|
1253 |
+
"learning_rate": 1.6135921418712959e-06,
|
1254 |
+
"loss": 0.1918,
|
1255 |
+
"step": 178
|
1256 |
+
},
|
1257 |
+
{
|
1258 |
+
"epoch": 0.7682403433476395,
|
1259 |
+
"grad_norm": 1.6802223920822144,
|
1260 |
+
"learning_rate": 1.5586814608915673e-06,
|
1261 |
+
"loss": 0.2403,
|
1262 |
+
"step": 179
|
1263 |
+
},
|
1264 |
+
{
|
1265 |
+
"epoch": 0.7725321888412017,
|
1266 |
+
"grad_norm": 1.6209694147109985,
|
1267 |
+
"learning_rate": 1.5045483219344387e-06,
|
1268 |
+
"loss": 0.2145,
|
1269 |
+
"step": 180
|
1270 |
+
},
|
1271 |
+
{
|
1272 |
+
"epoch": 0.776824034334764,
|
1273 |
+
"grad_norm": 1.8394389152526855,
|
1274 |
+
"learning_rate": 1.4512049560066837e-06,
|
1275 |
+
"loss": 0.2147,
|
1276 |
+
"step": 181
|
1277 |
+
},
|
1278 |
+
{
|
1279 |
+
"epoch": 0.7811158798283262,
|
1280 |
+
"grad_norm": 1.6125578880310059,
|
1281 |
+
"learning_rate": 1.3986634156713418e-06,
|
1282 |
+
"loss": 0.2106,
|
1283 |
+
"step": 182
|
1284 |
+
},
|
1285 |
+
{
|
1286 |
+
"epoch": 0.7854077253218884,
|
1287 |
+
"grad_norm": 1.5914397239685059,
|
1288 |
+
"learning_rate": 1.3469355723245303e-06,
|
1289 |
+
"loss": 0.2064,
|
1290 |
+
"step": 183
|
1291 |
+
},
|
1292 |
+
{
|
1293 |
+
"epoch": 0.7896995708154506,
|
1294 |
+
"grad_norm": 2.1572067737579346,
|
1295 |
+
"learning_rate": 1.2960331135131826e-06,
|
1296 |
+
"loss": 0.2461,
|
1297 |
+
"step": 184
|
1298 |
+
},
|
1299 |
+
{
|
1300 |
+
"epoch": 0.7939914163090128,
|
1301 |
+
"grad_norm": 1.6950761079788208,
|
1302 |
+
"learning_rate": 1.245967540294329e-06,
|
1303 |
+
"loss": 0.2076,
|
1304 |
+
"step": 185
|
1305 |
+
},
|
1306 |
+
{
|
1307 |
+
"epoch": 0.7982832618025751,
|
1308 |
+
"grad_norm": 1.7178866863250732,
|
1309 |
+
"learning_rate": 1.1967501646365147e-06,
|
1310 |
+
"loss": 0.2116,
|
1311 |
+
"step": 186
|
1312 |
+
},
|
1313 |
+
{
|
1314 |
+
"epoch": 0.8025751072961373,
|
1315 |
+
"grad_norm": 1.9565534591674805,
|
1316 |
+
"learning_rate": 1.1483921068639353e-06,
|
1317 |
+
"loss": 0.1959,
|
1318 |
+
"step": 187
|
1319 |
+
},
|
1320 |
+
{
|
1321 |
+
"epoch": 0.8068669527896996,
|
1322 |
+
"grad_norm": 2.3265628814697266,
|
1323 |
+
"learning_rate": 1.1009042931438784e-06,
|
1324 |
+
"loss": 0.222,
|
1325 |
+
"step": 188
|
1326 |
+
},
|
1327 |
+
{
|
1328 |
+
"epoch": 0.8111587982832618,
|
1329 |
+
"grad_norm": 1.572929859161377,
|
1330 |
+
"learning_rate": 1.0542974530180327e-06,
|
1331 |
+
"loss": 0.216,
|
1332 |
+
"step": 189
|
1333 |
+
},
|
1334 |
+
{
|
1335 |
+
"epoch": 0.8154506437768241,
|
1336 |
+
"grad_norm": 1.3902196884155273,
|
1337 |
+
"learning_rate": 1.00858211697822e-06,
|
1338 |
+
"loss": 0.1998,
|
1339 |
+
"step": 190
|
1340 |
+
},
|
1341 |
+
{
|
1342 |
+
"epoch": 0.8197424892703863,
|
1343 |
+
"grad_norm": 1.702994465827942,
|
1344 |
+
"learning_rate": 9.637686140871121e-07,
|
1345 |
+
"loss": 0.2223,
|
1346 |
+
"step": 191
|
1347 |
+
},
|
1348 |
+
{
|
1349 |
+
"epoch": 0.8240343347639485,
|
1350 |
+
"grad_norm": 1.6051976680755615,
|
1351 |
+
"learning_rate": 9.198670696444339e-07,
|
1352 |
+
"loss": 0.2146,
|
1353 |
+
"step": 192
|
1354 |
+
},
|
1355 |
+
{
|
1356 |
+
"epoch": 0.8283261802575107,
|
1357 |
+
"grad_norm": 1.641396403312683,
|
1358 |
+
"learning_rate": 8.768874028992431e-07,
|
1359 |
+
"loss": 0.2132,
|
1360 |
+
"step": 193
|
1361 |
+
},
|
1362 |
+
{
|
1363 |
+
"epoch": 0.8326180257510729,
|
1364 |
+
"grad_norm": 1.9438247680664062,
|
1365 |
+
"learning_rate": 8.348393248087289e-07,
|
1366 |
+
"loss": 0.2347,
|
1367 |
+
"step": 194
|
1368 |
+
},
|
1369 |
+
{
|
1370 |
+
"epoch": 0.8369098712446352,
|
1371 |
+
"grad_norm": 1.9501413106918335,
|
1372 |
+
"learning_rate": 7.937323358440935e-07,
|
1373 |
+
"loss": 0.2492,
|
1374 |
+
"step": 195
|
1375 |
+
},
|
1376 |
+
{
|
1377 |
+
"epoch": 0.8412017167381974,
|
1378 |
+
"grad_norm": 1.5952423810958862,
|
1379 |
+
"learning_rate": 7.535757238439939e-07,
|
1380 |
+
"loss": 0.2213,
|
1381 |
+
"step": 196
|
1382 |
+
},
|
1383 |
+
{
|
1384 |
+
"epoch": 0.8454935622317596,
|
1385 |
+
"grad_norm": 1.4453738927841187,
|
1386 |
+
"learning_rate": 7.143785619160026e-07,
|
1387 |
+
"loss": 0.1981,
|
1388 |
+
"step": 197
|
1389 |
+
},
|
1390 |
+
{
|
1391 |
+
"epoch": 0.8497854077253219,
|
1392 |
+
"grad_norm": 1.3863543272018433,
|
1393 |
+
"learning_rate": 6.761497063866207e-07,
|
1394 |
+
"loss": 0.2005,
|
1395 |
+
"step": 198
|
1396 |
+
},
|
1397 |
+
{
|
1398 |
+
"epoch": 0.8540772532188842,
|
1399 |
+
"grad_norm": 1.553649663925171,
|
1400 |
+
"learning_rate": 6.388977948002406e-07,
|
1401 |
+
"loss": 0.2026,
|
1402 |
+
"step": 199
|
1403 |
+
},
|
1404 |
+
{
|
1405 |
+
"epoch": 0.8583690987124464,
|
1406 |
+
"grad_norm": 1.4505783319473267,
|
1407 |
+
"learning_rate": 6.026312439675553e-07,
|
1408 |
+
"loss": 0.1954,
|
1409 |
+
"step": 200
|
1410 |
+
},
|
1411 |
+
{
|
1412 |
+
"epoch": 0.8626609442060086,
|
1413 |
+
"grad_norm": 2.247232675552368,
|
1414 |
+
"learning_rate": 5.673582480638395e-07,
|
1415 |
+
"loss": 0.2119,
|
1416 |
+
"step": 201
|
1417 |
+
},
|
1418 |
+
{
|
1419 |
+
"epoch": 0.8669527896995708,
|
1420 |
+
"grad_norm": 1.8728052377700806,
|
1421 |
+
"learning_rate": 5.330867767775333e-07,
|
1422 |
+
"loss": 0.2398,
|
1423 |
+
"step": 202
|
1424 |
+
},
|
1425 |
+
{
|
1426 |
+
"epoch": 0.871244635193133,
|
1427 |
+
"grad_norm": 1.493640422821045,
|
1428 |
+
"learning_rate": 4.998245735095459e-07,
|
1429 |
+
"loss": 0.2228,
|
1430 |
+
"step": 203
|
1431 |
+
},
|
1432 |
+
{
|
1433 |
+
"epoch": 0.8755364806866953,
|
1434 |
+
"grad_norm": 1.5458440780639648,
|
1435 |
+
"learning_rate": 4.6757915362368567e-07,
|
1436 |
+
"loss": 0.211,
|
1437 |
+
"step": 204
|
1438 |
+
},
|
1439 |
+
{
|
1440 |
+
"epoch": 0.8798283261802575,
|
1441 |
+
"grad_norm": 1.659397840499878,
|
1442 |
+
"learning_rate": 4.363578027486187e-07,
|
1443 |
+
"loss": 0.2086,
|
1444 |
+
"step": 205
|
1445 |
+
},
|
1446 |
+
{
|
1447 |
+
"epoch": 0.8841201716738197,
|
1448 |
+
"grad_norm": 1.587699055671692,
|
1449 |
+
"learning_rate": 4.0616757513173123e-07,
|
1450 |
+
"loss": 0.2016,
|
1451 |
+
"step": 206
|
1452 |
+
},
|
1453 |
+
{
|
1454 |
+
"epoch": 0.8884120171673819,
|
1455 |
+
"grad_norm": 1.5061396360397339,
|
1456 |
+
"learning_rate": 3.7701529204526856e-07,
|
1457 |
+
"loss": 0.2068,
|
1458 |
+
"step": 207
|
1459 |
+
},
|
1460 |
+
{
|
1461 |
+
"epoch": 0.8927038626609443,
|
1462 |
+
"grad_norm": 1.7324118614196777,
|
1463 |
+
"learning_rate": 3.4890754024512254e-07,
|
1464 |
+
"loss": 0.2208,
|
1465 |
+
"step": 208
|
1466 |
+
},
|
1467 |
+
{
|
1468 |
+
"epoch": 0.8969957081545065,
|
1469 |
+
"grad_norm": 1.465354084968567,
|
1470 |
+
"learning_rate": 3.2185067048259245e-07,
|
1471 |
+
"loss": 0.2151,
|
1472 |
+
"step": 209
|
1473 |
+
},
|
1474 |
+
{
|
1475 |
+
"epoch": 0.9012875536480687,
|
1476 |
+
"grad_norm": 1.370495080947876,
|
1477 |
+
"learning_rate": 2.9585079606947843e-07,
|
1478 |
+
"loss": 0.1964,
|
1479 |
+
"step": 210
|
1480 |
+
},
|
1481 |
+
{
|
1482 |
+
"epoch": 0.9055793991416309,
|
1483 |
+
"grad_norm": 1.866836428642273,
|
1484 |
+
"learning_rate": 2.7091379149682683e-07,
|
1485 |
+
"loss": 0.1929,
|
1486 |
+
"step": 211
|
1487 |
+
},
|
1488 |
+
{
|
1489 |
+
"epoch": 0.9098712446351931,
|
1490 |
+
"grad_norm": 1.388830304145813,
|
1491 |
+
"learning_rate": 2.470452911076227e-07,
|
1492 |
+
"loss": 0.2049,
|
1493 |
+
"step": 212
|
1494 |
+
},
|
1495 |
+
{
|
1496 |
+
"epoch": 0.9141630901287554,
|
1497 |
+
"grad_norm": 1.3401647806167603,
|
1498 |
+
"learning_rate": 2.242506878237538e-07,
|
1499 |
+
"loss": 0.1975,
|
1500 |
+
"step": 213
|
1501 |
+
},
|
1502 |
+
{
|
1503 |
+
"epoch": 0.9184549356223176,
|
1504 |
+
"grad_norm": 1.3348737955093384,
|
1505 |
+
"learning_rate": 2.0253513192751374e-07,
|
1506 |
+
"loss": 0.2076,
|
1507 |
+
"step": 214
|
1508 |
+
},
|
1509 |
+
{
|
1510 |
+
"epoch": 0.9227467811158798,
|
1511 |
+
"grad_norm": 1.2677830457687378,
|
1512 |
+
"learning_rate": 1.8190352989793325e-07,
|
1513 |
+
"loss": 0.1966,
|
1514 |
+
"step": 215
|
1515 |
+
},
|
1516 |
+
{
|
1517 |
+
"epoch": 0.927038626609442,
|
1518 |
+
"grad_norm": 1.590033769607544,
|
1519 |
+
"learning_rate": 1.6236054330219853e-07,
|
1520 |
+
"loss": 0.2217,
|
1521 |
+
"step": 216
|
1522 |
+
},
|
1523 |
+
{
|
1524 |
+
"epoch": 0.9313304721030042,
|
1525 |
+
"grad_norm": 1.4973030090332031,
|
1526 |
+
"learning_rate": 1.439105877423963e-07,
|
1527 |
+
"loss": 0.2107,
|
1528 |
+
"step": 217
|
1529 |
+
},
|
1530 |
+
{
|
1531 |
+
"epoch": 0.9356223175965666,
|
1532 |
+
"grad_norm": 1.597288727760315,
|
1533 |
+
"learning_rate": 1.2655783185784253e-07,
|
1534 |
+
"loss": 0.2267,
|
1535 |
+
"step": 218
|
1536 |
+
},
|
1537 |
+
{
|
1538 |
+
"epoch": 0.9399141630901288,
|
1539 |
+
"grad_norm": 1.720969319343567,
|
1540 |
+
"learning_rate": 1.1030619638320805e-07,
|
1541 |
+
"loss": 0.2075,
|
1542 |
+
"step": 219
|
1543 |
+
},
|
1544 |
+
{
|
1545 |
+
"epoch": 0.944206008583691,
|
1546 |
+
"grad_norm": 1.4152257442474365,
|
1547 |
+
"learning_rate": 9.51593532626538e-08,
|
1548 |
+
"loss": 0.2003,
|
1549 |
+
"step": 220
|
1550 |
+
},
|
1551 |
+
{
|
1552 |
+
"epoch": 0.9484978540772532,
|
1553 |
+
"grad_norm": 1.540600299835205,
|
1554 |
+
"learning_rate": 8.11207248201834e-08,
|
1555 |
+
"loss": 0.2211,
|
1556 |
+
"step": 221
|
1557 |
+
},
|
1558 |
+
{
|
1559 |
+
"epoch": 0.9527896995708155,
|
1560 |
+
"grad_norm": 1.7658554315567017,
|
1561 |
+
"learning_rate": 6.819348298638839e-08,
|
1562 |
+
"loss": 0.2296,
|
1563 |
+
"step": 222
|
1564 |
+
},
|
1565 |
+
{
|
1566 |
+
"epoch": 0.9570815450643777,
|
1567 |
+
"grad_norm": 1.7942489385604858,
|
1568 |
+
"learning_rate": 5.638054858177644e-08,
|
1569 |
+
"loss": 0.2077,
|
1570 |
+
"step": 223
|
1571 |
+
},
|
1572 |
+
{
|
1573 |
+
"epoch": 0.9613733905579399,
|
1574 |
+
"grad_norm": 1.565927505493164,
|
1575 |
+
"learning_rate": 4.568459065683206e-08,
|
1576 |
+
"loss": 0.1982,
|
1577 |
+
"step": 224
|
1578 |
+
},
|
1579 |
+
{
|
1580 |
+
"epoch": 0.9656652360515021,
|
1581 |
+
"grad_norm": 1.7370845079421997,
|
1582 |
+
"learning_rate": 3.610802588895845e-08,
|
1583 |
+
"loss": 0.2303,
|
1584 |
+
"step": 225
|
1585 |
+
},
|
1586 |
+
{
|
1587 |
+
"epoch": 0.9699570815450643,
|
1588 |
+
"grad_norm": 1.3400768041610718,
|
1589 |
+
"learning_rate": 2.765301803645426e-08,
|
1590 |
+
"loss": 0.1816,
|
1591 |
+
"step": 226
|
1592 |
+
},
|
1593 |
+
{
|
1594 |
+
"epoch": 0.9742489270386266,
|
1595 |
+
"grad_norm": 1.6028944253921509,
|
1596 |
+
"learning_rate": 2.0321477449619098e-08,
|
1597 |
+
"loss": 0.2329,
|
1598 |
+
"step": 227
|
1599 |
+
},
|
1600 |
+
{
|
1601 |
+
"epoch": 0.9785407725321889,
|
1602 |
+
"grad_norm": 1.635040044784546,
|
1603 |
+
"learning_rate": 1.411506063912882e-08,
|
1604 |
+
"loss": 0.2365,
|
1605 |
+
"step": 228
|
1606 |
+
},
|
1607 |
+
{
|
1608 |
+
"epoch": 0.9828326180257511,
|
1609 |
+
"grad_norm": 1.5071089267730713,
|
1610 |
+
"learning_rate": 9.035169901754902e-09,
|
1611 |
+
"loss": 0.1913,
|
1612 |
+
"step": 229
|
1613 |
+
},
|
1614 |
+
{
|
1615 |
+
"epoch": 0.9871244635193133,
|
1616 |
+
"grad_norm": 1.8444362878799438,
|
1617 |
+
"learning_rate": 5.082953003528457e-09,
|
1618 |
+
"loss": 0.2008,
|
1619 |
+
"step": 230
|
1620 |
+
},
|
1621 |
+
{
|
1622 |
+
"epoch": 0.9914163090128756,
|
1623 |
+
"grad_norm": 1.3740102052688599,
|
1624 |
+
"learning_rate": 2.2593029204076578e-09,
|
1625 |
+
"loss": 0.1962,
|
1626 |
+
"step": 231
|
1627 |
+
},
|
1628 |
+
{
|
1629 |
+
"epoch": 0.9957081545064378,
|
1630 |
+
"grad_norm": 1.8837482929229736,
|
1631 |
+
"learning_rate": 5.648576365169245e-10,
|
1632 |
+
"loss": 0.2168,
|
1633 |
+
"step": 232
|
1634 |
+
},
|
1635 |
+
{
|
1636 |
+
"epoch": 1.0,
|
1637 |
+
"grad_norm": 1.6341578960418701,
|
1638 |
+
"learning_rate": 0.0,
|
1639 |
+
"loss": 0.2153,
|
1640 |
+
"step": 233
|
1641 |
+
},
|
1642 |
+
{
|
1643 |
+
"epoch": 1.0,
|
1644 |
+
"eval_loss": 0.36973223090171814,
|
1645 |
+
"eval_runtime": 3.4823,
|
1646 |
+
"eval_samples_per_second": 66.049,
|
1647 |
+
"eval_steps_per_second": 2.872,
|
1648 |
+
"step": 233
|
1649 |
+
},
|
1650 |
+
{
|
1651 |
+
"epoch": 1.0,
|
1652 |
+
"step": 233,
|
1653 |
+
"total_flos": 8.156803263102976e+16,
|
1654 |
+
"train_loss": 0.28537011958754627,
|
1655 |
+
"train_runtime": 757.3361,
|
1656 |
+
"train_samples_per_second": 14.709,
|
1657 |
+
"train_steps_per_second": 0.308
|
1658 |
+
}
|
1659 |
+
],
|
1660 |
+
"logging_steps": 1,
|
1661 |
+
"max_steps": 233,
|
1662 |
+
"num_input_tokens_seen": 0,
|
1663 |
+
"num_train_epochs": 1,
|
1664 |
+
"save_steps": 800,
|
1665 |
+
"stateful_callbacks": {
|
1666 |
+
"TrainerControl": {
|
1667 |
+
"args": {
|
1668 |
+
"should_epoch_stop": false,
|
1669 |
+
"should_evaluate": false,
|
1670 |
+
"should_log": false,
|
1671 |
+
"should_save": false,
|
1672 |
+
"should_training_stop": false
|
1673 |
+
},
|
1674 |
+
"attributes": {}
|
1675 |
+
}
|
1676 |
+
},
|
1677 |
+
"total_flos": 8.156803263102976e+16,
|
1678 |
+
"train_batch_size": 16,
|
1679 |
+
"trial_name": null,
|
1680 |
+
"trial_params": null
|
1681 |
+
}
|