Model save
Browse files- README.md +67 -0
- all_results.json +9 -0
- generation_config.json +6 -0
- train_results.json +9 -0
- trainer_state.json +1912 -0
README.md
ADDED
@@ -0,0 +1,67 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
---
|
2 |
+
license: apache-2.0
|
3 |
+
base_model: mistralai/Mistral-7B-Instruct-v0.2
|
4 |
+
tags:
|
5 |
+
- trl
|
6 |
+
- sft
|
7 |
+
- generated_from_trainer
|
8 |
+
datasets:
|
9 |
+
- generator
|
10 |
+
model-index:
|
11 |
+
- name: prometheus-7b-preference-0.1p-rare-seed42
|
12 |
+
results: []
|
13 |
+
---
|
14 |
+
|
15 |
+
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
|
16 |
+
should probably proofread and complete it, then remove this comment. -->
|
17 |
+
|
18 |
+
# prometheus-7b-preference-0.1p-rare-seed42
|
19 |
+
|
20 |
+
This model is a fine-tuned version of [mistralai/Mistral-7B-Instruct-v0.2](https://huggingface.co/mistralai/Mistral-7B-Instruct-v0.2) on the generator dataset.
|
21 |
+
It achieves the following results on the evaluation set:
|
22 |
+
- Loss: 0.4708
|
23 |
+
|
24 |
+
## Model description
|
25 |
+
|
26 |
+
More information needed
|
27 |
+
|
28 |
+
## Intended uses & limitations
|
29 |
+
|
30 |
+
More information needed
|
31 |
+
|
32 |
+
## Training and evaluation data
|
33 |
+
|
34 |
+
More information needed
|
35 |
+
|
36 |
+
## Training procedure
|
37 |
+
|
38 |
+
### Training hyperparameters
|
39 |
+
|
40 |
+
The following hyperparameters were used during training:
|
41 |
+
- learning_rate: 1e-05
|
42 |
+
- train_batch_size: 2
|
43 |
+
- eval_batch_size: 1
|
44 |
+
- seed: 42
|
45 |
+
- distributed_type: multi-GPU
|
46 |
+
- num_devices: 4
|
47 |
+
- gradient_accumulation_steps: 4
|
48 |
+
- total_train_batch_size: 32
|
49 |
+
- total_eval_batch_size: 4
|
50 |
+
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
|
51 |
+
- lr_scheduler_type: cosine
|
52 |
+
- lr_scheduler_warmup_ratio: 0.1
|
53 |
+
- num_epochs: 1
|
54 |
+
|
55 |
+
### Training results
|
56 |
+
|
57 |
+
| Training Loss | Epoch | Step | Validation Loss |
|
58 |
+
|:-------------:|:------:|:----:|:---------------:|
|
59 |
+
| 0.4741 | 0.9994 | 1325 | 0.4708 |
|
60 |
+
|
61 |
+
|
62 |
+
### Framework versions
|
63 |
+
|
64 |
+
- Transformers 4.43.4
|
65 |
+
- Pytorch 2.3.1+cu121
|
66 |
+
- Datasets 2.19.1
|
67 |
+
- Tokenizers 0.19.1
|
all_results.json
ADDED
@@ -0,0 +1,9 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"epoch": 0.9994342824816141,
|
3 |
+
"total_flos": 277375698862080.0,
|
4 |
+
"train_loss": 0.6321603435840247,
|
5 |
+
"train_runtime": 30135.1647,
|
6 |
+
"train_samples": 108769,
|
7 |
+
"train_samples_per_second": 1.408,
|
8 |
+
"train_steps_per_second": 0.044
|
9 |
+
}
|
generation_config.json
ADDED
@@ -0,0 +1,6 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"_from_model_config": true,
|
3 |
+
"bos_token_id": 1,
|
4 |
+
"eos_token_id": 2,
|
5 |
+
"transformers_version": "4.43.4"
|
6 |
+
}
|
train_results.json
ADDED
@@ -0,0 +1,9 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"epoch": 0.9994342824816141,
|
3 |
+
"total_flos": 277375698862080.0,
|
4 |
+
"train_loss": 0.6321603435840247,
|
5 |
+
"train_runtime": 30135.1647,
|
6 |
+
"train_samples": 108769,
|
7 |
+
"train_samples_per_second": 1.408,
|
8 |
+
"train_steps_per_second": 0.044
|
9 |
+
}
|
trainer_state.json
ADDED
@@ -0,0 +1,1912 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"best_metric": null,
|
3 |
+
"best_model_checkpoint": null,
|
4 |
+
"epoch": 0.9994342824816141,
|
5 |
+
"eval_steps": 500,
|
6 |
+
"global_step": 1325,
|
7 |
+
"is_hyper_param_search": false,
|
8 |
+
"is_local_process_zero": true,
|
9 |
+
"is_world_process_zero": true,
|
10 |
+
"log_history": [
|
11 |
+
{
|
12 |
+
"epoch": 0.0007542900245144258,
|
13 |
+
"grad_norm": 24.0743322267596,
|
14 |
+
"learning_rate": 7.518796992481203e-08,
|
15 |
+
"loss": 1.4329,
|
16 |
+
"step": 1
|
17 |
+
},
|
18 |
+
{
|
19 |
+
"epoch": 0.003771450122572129,
|
20 |
+
"grad_norm": 24.762983495374982,
|
21 |
+
"learning_rate": 3.7593984962406015e-07,
|
22 |
+
"loss": 1.417,
|
23 |
+
"step": 5
|
24 |
+
},
|
25 |
+
{
|
26 |
+
"epoch": 0.007542900245144258,
|
27 |
+
"grad_norm": 8.686384748409985,
|
28 |
+
"learning_rate": 7.518796992481203e-07,
|
29 |
+
"loss": 1.3206,
|
30 |
+
"step": 10
|
31 |
+
},
|
32 |
+
{
|
33 |
+
"epoch": 0.011314350367716388,
|
34 |
+
"grad_norm": 10.36105058434612,
|
35 |
+
"learning_rate": 1.1278195488721805e-06,
|
36 |
+
"loss": 1.1564,
|
37 |
+
"step": 15
|
38 |
+
},
|
39 |
+
{
|
40 |
+
"epoch": 0.015085800490288516,
|
41 |
+
"grad_norm": 3.2096721215381483,
|
42 |
+
"learning_rate": 1.5037593984962406e-06,
|
43 |
+
"loss": 1.0254,
|
44 |
+
"step": 20
|
45 |
+
},
|
46 |
+
{
|
47 |
+
"epoch": 0.018857250612860643,
|
48 |
+
"grad_norm": 2.8041993817362436,
|
49 |
+
"learning_rate": 1.8796992481203007e-06,
|
50 |
+
"loss": 0.9632,
|
51 |
+
"step": 25
|
52 |
+
},
|
53 |
+
{
|
54 |
+
"epoch": 0.022628700735432775,
|
55 |
+
"grad_norm": 2.4316167661473758,
|
56 |
+
"learning_rate": 2.255639097744361e-06,
|
57 |
+
"loss": 0.9285,
|
58 |
+
"step": 30
|
59 |
+
},
|
60 |
+
{
|
61 |
+
"epoch": 0.026400150858004904,
|
62 |
+
"grad_norm": 2.347169321112029,
|
63 |
+
"learning_rate": 2.631578947368421e-06,
|
64 |
+
"loss": 0.9228,
|
65 |
+
"step": 35
|
66 |
+
},
|
67 |
+
{
|
68 |
+
"epoch": 0.030171600980577033,
|
69 |
+
"grad_norm": 2.23082557930139,
|
70 |
+
"learning_rate": 3.007518796992481e-06,
|
71 |
+
"loss": 0.8955,
|
72 |
+
"step": 40
|
73 |
+
},
|
74 |
+
{
|
75 |
+
"epoch": 0.03394305110314916,
|
76 |
+
"grad_norm": 2.3187330629715484,
|
77 |
+
"learning_rate": 3.3834586466165413e-06,
|
78 |
+
"loss": 0.9049,
|
79 |
+
"step": 45
|
80 |
+
},
|
81 |
+
{
|
82 |
+
"epoch": 0.037714501225721286,
|
83 |
+
"grad_norm": 2.239439563631581,
|
84 |
+
"learning_rate": 3.7593984962406014e-06,
|
85 |
+
"loss": 0.894,
|
86 |
+
"step": 50
|
87 |
+
},
|
88 |
+
{
|
89 |
+
"epoch": 0.04148595134829342,
|
90 |
+
"grad_norm": 2.3025921470010267,
|
91 |
+
"learning_rate": 4.135338345864662e-06,
|
92 |
+
"loss": 0.8807,
|
93 |
+
"step": 55
|
94 |
+
},
|
95 |
+
{
|
96 |
+
"epoch": 0.04525740147086555,
|
97 |
+
"grad_norm": 2.387099716939349,
|
98 |
+
"learning_rate": 4.511278195488722e-06,
|
99 |
+
"loss": 0.875,
|
100 |
+
"step": 60
|
101 |
+
},
|
102 |
+
{
|
103 |
+
"epoch": 0.04902885159343768,
|
104 |
+
"grad_norm": 2.3813541654085046,
|
105 |
+
"learning_rate": 4.887218045112782e-06,
|
106 |
+
"loss": 0.8674,
|
107 |
+
"step": 65
|
108 |
+
},
|
109 |
+
{
|
110 |
+
"epoch": 0.05280030171600981,
|
111 |
+
"grad_norm": 2.609644080569622,
|
112 |
+
"learning_rate": 5.263157894736842e-06,
|
113 |
+
"loss": 0.8655,
|
114 |
+
"step": 70
|
115 |
+
},
|
116 |
+
{
|
117 |
+
"epoch": 0.056571751838581937,
|
118 |
+
"grad_norm": 2.571607734979684,
|
119 |
+
"learning_rate": 5.639097744360903e-06,
|
120 |
+
"loss": 0.862,
|
121 |
+
"step": 75
|
122 |
+
},
|
123 |
+
{
|
124 |
+
"epoch": 0.060343201961154065,
|
125 |
+
"grad_norm": 2.2582812119753903,
|
126 |
+
"learning_rate": 6.015037593984962e-06,
|
127 |
+
"loss": 0.8518,
|
128 |
+
"step": 80
|
129 |
+
},
|
130 |
+
{
|
131 |
+
"epoch": 0.06411465208372619,
|
132 |
+
"grad_norm": 2.450433458259798,
|
133 |
+
"learning_rate": 6.390977443609023e-06,
|
134 |
+
"loss": 0.856,
|
135 |
+
"step": 85
|
136 |
+
},
|
137 |
+
{
|
138 |
+
"epoch": 0.06788610220629832,
|
139 |
+
"grad_norm": 2.58014673334683,
|
140 |
+
"learning_rate": 6.766917293233083e-06,
|
141 |
+
"loss": 0.8528,
|
142 |
+
"step": 90
|
143 |
+
},
|
144 |
+
{
|
145 |
+
"epoch": 0.07165755232887044,
|
146 |
+
"grad_norm": 2.3740208001929743,
|
147 |
+
"learning_rate": 7.1428571428571436e-06,
|
148 |
+
"loss": 0.8331,
|
149 |
+
"step": 95
|
150 |
+
},
|
151 |
+
{
|
152 |
+
"epoch": 0.07542900245144257,
|
153 |
+
"grad_norm": 2.413650287157212,
|
154 |
+
"learning_rate": 7.518796992481203e-06,
|
155 |
+
"loss": 0.8605,
|
156 |
+
"step": 100
|
157 |
+
},
|
158 |
+
{
|
159 |
+
"epoch": 0.07920045257401472,
|
160 |
+
"grad_norm": 2.355976041456668,
|
161 |
+
"learning_rate": 7.894736842105265e-06,
|
162 |
+
"loss": 0.8389,
|
163 |
+
"step": 105
|
164 |
+
},
|
165 |
+
{
|
166 |
+
"epoch": 0.08297190269658684,
|
167 |
+
"grad_norm": 2.3146510995724334,
|
168 |
+
"learning_rate": 8.270676691729324e-06,
|
169 |
+
"loss": 0.8398,
|
170 |
+
"step": 110
|
171 |
+
},
|
172 |
+
{
|
173 |
+
"epoch": 0.08674335281915897,
|
174 |
+
"grad_norm": 2.539423496991191,
|
175 |
+
"learning_rate": 8.646616541353385e-06,
|
176 |
+
"loss": 0.8281,
|
177 |
+
"step": 115
|
178 |
+
},
|
179 |
+
{
|
180 |
+
"epoch": 0.0905148029417311,
|
181 |
+
"grad_norm": 2.3110234365436115,
|
182 |
+
"learning_rate": 9.022556390977444e-06,
|
183 |
+
"loss": 0.8355,
|
184 |
+
"step": 120
|
185 |
+
},
|
186 |
+
{
|
187 |
+
"epoch": 0.09428625306430323,
|
188 |
+
"grad_norm": 2.3074854008707644,
|
189 |
+
"learning_rate": 9.398496240601505e-06,
|
190 |
+
"loss": 0.8378,
|
191 |
+
"step": 125
|
192 |
+
},
|
193 |
+
{
|
194 |
+
"epoch": 0.09805770318687536,
|
195 |
+
"grad_norm": 2.198478602649139,
|
196 |
+
"learning_rate": 9.774436090225564e-06,
|
197 |
+
"loss": 0.8255,
|
198 |
+
"step": 130
|
199 |
+
},
|
200 |
+
{
|
201 |
+
"epoch": 0.10182915330944749,
|
202 |
+
"grad_norm": 2.372634478935117,
|
203 |
+
"learning_rate": 9.999930538168684e-06,
|
204 |
+
"loss": 0.8152,
|
205 |
+
"step": 135
|
206 |
+
},
|
207 |
+
{
|
208 |
+
"epoch": 0.10560060343201962,
|
209 |
+
"grad_norm": 2.3429810617684406,
|
210 |
+
"learning_rate": 9.999149114730812e-06,
|
211 |
+
"loss": 0.829,
|
212 |
+
"step": 140
|
213 |
+
},
|
214 |
+
{
|
215 |
+
"epoch": 0.10937205355459174,
|
216 |
+
"grad_norm": 2.2344447897248783,
|
217 |
+
"learning_rate": 9.997499576714369e-06,
|
218 |
+
"loss": 0.8299,
|
219 |
+
"step": 145
|
220 |
+
},
|
221 |
+
{
|
222 |
+
"epoch": 0.11314350367716387,
|
223 |
+
"grad_norm": 2.241744206103708,
|
224 |
+
"learning_rate": 9.9949822105657e-06,
|
225 |
+
"loss": 0.8253,
|
226 |
+
"step": 150
|
227 |
+
},
|
228 |
+
{
|
229 |
+
"epoch": 0.116914953799736,
|
230 |
+
"grad_norm": 2.2980391560118862,
|
231 |
+
"learning_rate": 9.991597453431652e-06,
|
232 |
+
"loss": 0.8258,
|
233 |
+
"step": 155
|
234 |
+
},
|
235 |
+
{
|
236 |
+
"epoch": 0.12068640392230813,
|
237 |
+
"grad_norm": 2.501411375935894,
|
238 |
+
"learning_rate": 9.987345893083652e-06,
|
239 |
+
"loss": 0.8165,
|
240 |
+
"step": 160
|
241 |
+
},
|
242 |
+
{
|
243 |
+
"epoch": 0.12445785404488026,
|
244 |
+
"grad_norm": 2.286238996613632,
|
245 |
+
"learning_rate": 9.982228267815644e-06,
|
246 |
+
"loss": 0.8128,
|
247 |
+
"step": 165
|
248 |
+
},
|
249 |
+
{
|
250 |
+
"epoch": 0.12822930416745237,
|
251 |
+
"grad_norm": 2.179417789665571,
|
252 |
+
"learning_rate": 9.97624546631588e-06,
|
253 |
+
"loss": 0.8193,
|
254 |
+
"step": 170
|
255 |
+
},
|
256 |
+
{
|
257 |
+
"epoch": 0.1320007542900245,
|
258 |
+
"grad_norm": 2.186299499644603,
|
259 |
+
"learning_rate": 9.969398527512607e-06,
|
260 |
+
"loss": 0.8153,
|
261 |
+
"step": 175
|
262 |
+
},
|
263 |
+
{
|
264 |
+
"epoch": 0.13577220441259663,
|
265 |
+
"grad_norm": 2.177003107850399,
|
266 |
+
"learning_rate": 9.96168864039364e-06,
|
267 |
+
"loss": 0.8004,
|
268 |
+
"step": 180
|
269 |
+
},
|
270 |
+
{
|
271 |
+
"epoch": 0.13954365453516876,
|
272 |
+
"grad_norm": 2.5007296087774575,
|
273 |
+
"learning_rate": 9.9531171437999e-06,
|
274 |
+
"loss": 0.8057,
|
275 |
+
"step": 185
|
276 |
+
},
|
277 |
+
{
|
278 |
+
"epoch": 0.1433151046577409,
|
279 |
+
"grad_norm": 2.2265359668215696,
|
280 |
+
"learning_rate": 9.943685526192921e-06,
|
281 |
+
"loss": 0.8045,
|
282 |
+
"step": 190
|
283 |
+
},
|
284 |
+
{
|
285 |
+
"epoch": 0.14708655478031302,
|
286 |
+
"grad_norm": 2.1009649317490116,
|
287 |
+
"learning_rate": 9.93339542539637e-06,
|
288 |
+
"loss": 0.7964,
|
289 |
+
"step": 195
|
290 |
+
},
|
291 |
+
{
|
292 |
+
"epoch": 0.15085800490288515,
|
293 |
+
"grad_norm": 2.0704593465422008,
|
294 |
+
"learning_rate": 9.922248628311641e-06,
|
295 |
+
"loss": 0.8007,
|
296 |
+
"step": 200
|
297 |
+
},
|
298 |
+
{
|
299 |
+
"epoch": 0.1546294550254573,
|
300 |
+
"grad_norm": 2.2278475317912694,
|
301 |
+
"learning_rate": 9.91024707060755e-06,
|
302 |
+
"loss": 0.8074,
|
303 |
+
"step": 205
|
304 |
+
},
|
305 |
+
{
|
306 |
+
"epoch": 0.15840090514802943,
|
307 |
+
"grad_norm": 2.3927523335337293,
|
308 |
+
"learning_rate": 9.89739283638421e-06,
|
309 |
+
"loss": 0.7964,
|
310 |
+
"step": 210
|
311 |
+
},
|
312 |
+
{
|
313 |
+
"epoch": 0.16217235527060156,
|
314 |
+
"grad_norm": 2.2597054171285826,
|
315 |
+
"learning_rate": 9.883688157811102e-06,
|
316 |
+
"loss": 0.7925,
|
317 |
+
"step": 215
|
318 |
+
},
|
319 |
+
{
|
320 |
+
"epoch": 0.1659438053931737,
|
321 |
+
"grad_norm": 2.2971840831123806,
|
322 |
+
"learning_rate": 9.86913541473948e-06,
|
323 |
+
"loss": 0.7928,
|
324 |
+
"step": 220
|
325 |
+
},
|
326 |
+
{
|
327 |
+
"epoch": 0.16971525551574582,
|
328 |
+
"grad_norm": 2.161562265562174,
|
329 |
+
"learning_rate": 9.853737134289086e-06,
|
330 |
+
"loss": 0.78,
|
331 |
+
"step": 225
|
332 |
+
},
|
333 |
+
{
|
334 |
+
"epoch": 0.17348670563831795,
|
335 |
+
"grad_norm": 2.087919478225615,
|
336 |
+
"learning_rate": 9.83749599040931e-06,
|
337 |
+
"loss": 0.7852,
|
338 |
+
"step": 230
|
339 |
+
},
|
340 |
+
{
|
341 |
+
"epoch": 0.17725815576089007,
|
342 |
+
"grad_norm": 2.1464178337018422,
|
343 |
+
"learning_rate": 9.820414803414862e-06,
|
344 |
+
"loss": 0.7864,
|
345 |
+
"step": 235
|
346 |
+
},
|
347 |
+
{
|
348 |
+
"epoch": 0.1810296058834622,
|
349 |
+
"grad_norm": 2.1956780101934115,
|
350 |
+
"learning_rate": 9.802496539496008e-06,
|
351 |
+
"loss": 0.777,
|
352 |
+
"step": 240
|
353 |
+
},
|
354 |
+
{
|
355 |
+
"epoch": 0.18480105600603433,
|
356 |
+
"grad_norm": 2.2171827211629456,
|
357 |
+
"learning_rate": 9.783744310203492e-06,
|
358 |
+
"loss": 0.7738,
|
359 |
+
"step": 245
|
360 |
+
},
|
361 |
+
{
|
362 |
+
"epoch": 0.18857250612860646,
|
363 |
+
"grad_norm": 2.1354704419052,
|
364 |
+
"learning_rate": 9.764161371908195e-06,
|
365 |
+
"loss": 0.7833,
|
366 |
+
"step": 250
|
367 |
+
},
|
368 |
+
{
|
369 |
+
"epoch": 0.1923439562511786,
|
370 |
+
"grad_norm": 2.244895598639118,
|
371 |
+
"learning_rate": 9.743751125235674e-06,
|
372 |
+
"loss": 0.7832,
|
373 |
+
"step": 255
|
374 |
+
},
|
375 |
+
{
|
376 |
+
"epoch": 0.19611540637375072,
|
377 |
+
"grad_norm": 2.1690612043700983,
|
378 |
+
"learning_rate": 9.722517114475622e-06,
|
379 |
+
"loss": 0.7759,
|
380 |
+
"step": 260
|
381 |
+
},
|
382 |
+
{
|
383 |
+
"epoch": 0.19988685649632285,
|
384 |
+
"grad_norm": 2.465068879237022,
|
385 |
+
"learning_rate": 9.7004630269664e-06,
|
386 |
+
"loss": 0.7736,
|
387 |
+
"step": 265
|
388 |
+
},
|
389 |
+
{
|
390 |
+
"epoch": 0.20365830661889497,
|
391 |
+
"grad_norm": 2.3445933624332973,
|
392 |
+
"learning_rate": 9.67759269245472e-06,
|
393 |
+
"loss": 0.7617,
|
394 |
+
"step": 270
|
395 |
+
},
|
396 |
+
{
|
397 |
+
"epoch": 0.2074297567414671,
|
398 |
+
"grad_norm": 2.131498314204489,
|
399 |
+
"learning_rate": 9.6539100824306e-06,
|
400 |
+
"loss": 0.7616,
|
401 |
+
"step": 275
|
402 |
+
},
|
403 |
+
{
|
404 |
+
"epoch": 0.21120120686403923,
|
405 |
+
"grad_norm": 2.365920326550214,
|
406 |
+
"learning_rate": 9.629419309437704e-06,
|
407 |
+
"loss": 0.7555,
|
408 |
+
"step": 280
|
409 |
+
},
|
410 |
+
{
|
411 |
+
"epoch": 0.21497265698661136,
|
412 |
+
"grad_norm": 2.330336022690634,
|
413 |
+
"learning_rate": 9.60412462635919e-06,
|
414 |
+
"loss": 0.7541,
|
415 |
+
"step": 285
|
416 |
+
},
|
417 |
+
{
|
418 |
+
"epoch": 0.2187441071091835,
|
419 |
+
"grad_norm": 2.2560710591306634,
|
420 |
+
"learning_rate": 9.578030425679188e-06,
|
421 |
+
"loss": 0.751,
|
422 |
+
"step": 290
|
423 |
+
},
|
424 |
+
{
|
425 |
+
"epoch": 0.22251555723175562,
|
426 |
+
"grad_norm": 2.054455615320725,
|
427 |
+
"learning_rate": 9.551141238720027e-06,
|
428 |
+
"loss": 0.7491,
|
429 |
+
"step": 295
|
430 |
+
},
|
431 |
+
{
|
432 |
+
"epoch": 0.22628700735432775,
|
433 |
+
"grad_norm": 2.3326134119870465,
|
434 |
+
"learning_rate": 9.523461734855373e-06,
|
435 |
+
"loss": 0.7494,
|
436 |
+
"step": 300
|
437 |
+
},
|
438 |
+
{
|
439 |
+
"epoch": 0.23005845747689987,
|
440 |
+
"grad_norm": 2.0451775689136995,
|
441 |
+
"learning_rate": 9.494996720699363e-06,
|
442 |
+
"loss": 0.7527,
|
443 |
+
"step": 305
|
444 |
+
},
|
445 |
+
{
|
446 |
+
"epoch": 0.233829907599472,
|
447 |
+
"grad_norm": 2.2108967714871275,
|
448 |
+
"learning_rate": 9.465751139271943e-06,
|
449 |
+
"loss": 0.751,
|
450 |
+
"step": 310
|
451 |
+
},
|
452 |
+
{
|
453 |
+
"epoch": 0.23760135772204413,
|
454 |
+
"grad_norm": 2.09565099808324,
|
455 |
+
"learning_rate": 9.435730069140486e-06,
|
456 |
+
"loss": 0.741,
|
457 |
+
"step": 315
|
458 |
+
},
|
459 |
+
{
|
460 |
+
"epoch": 0.24137280784461626,
|
461 |
+
"grad_norm": 2.1588491738436937,
|
462 |
+
"learning_rate": 9.404938723537894e-06,
|
463 |
+
"loss": 0.7429,
|
464 |
+
"step": 320
|
465 |
+
},
|
466 |
+
{
|
467 |
+
"epoch": 0.2451442579671884,
|
468 |
+
"grad_norm": 2.056502617886576,
|
469 |
+
"learning_rate": 9.373382449457305e-06,
|
470 |
+
"loss": 0.7341,
|
471 |
+
"step": 325
|
472 |
+
},
|
473 |
+
{
|
474 |
+
"epoch": 0.24891570808976052,
|
475 |
+
"grad_norm": 2.067525516090952,
|
476 |
+
"learning_rate": 9.341066726723574e-06,
|
477 |
+
"loss": 0.7522,
|
478 |
+
"step": 330
|
479 |
+
},
|
480 |
+
{
|
481 |
+
"epoch": 0.2526871582123326,
|
482 |
+
"grad_norm": 2.141985494588096,
|
483 |
+
"learning_rate": 9.307997167041688e-06,
|
484 |
+
"loss": 0.736,
|
485 |
+
"step": 335
|
486 |
+
},
|
487 |
+
{
|
488 |
+
"epoch": 0.25645860833490475,
|
489 |
+
"grad_norm": 2.175709280838213,
|
490 |
+
"learning_rate": 9.274179513022284e-06,
|
491 |
+
"loss": 0.7427,
|
492 |
+
"step": 340
|
493 |
+
},
|
494 |
+
{
|
495 |
+
"epoch": 0.2602300584574769,
|
496 |
+
"grad_norm": 2.661524805942838,
|
497 |
+
"learning_rate": 9.23961963718442e-06,
|
498 |
+
"loss": 0.7354,
|
499 |
+
"step": 345
|
500 |
+
},
|
501 |
+
{
|
502 |
+
"epoch": 0.264001508580049,
|
503 |
+
"grad_norm": 2.3806741154817606,
|
504 |
+
"learning_rate": 9.204323540935808e-06,
|
505 |
+
"loss": 0.7171,
|
506 |
+
"step": 350
|
507 |
+
},
|
508 |
+
{
|
509 |
+
"epoch": 0.26777295870262113,
|
510 |
+
"grad_norm": 2.2844034910230384,
|
511 |
+
"learning_rate": 9.168297353530654e-06,
|
512 |
+
"loss": 0.7246,
|
513 |
+
"step": 355
|
514 |
+
},
|
515 |
+
{
|
516 |
+
"epoch": 0.27154440882519326,
|
517 |
+
"grad_norm": 2.2290764994416756,
|
518 |
+
"learning_rate": 9.131547331005288e-06,
|
519 |
+
"loss": 0.7219,
|
520 |
+
"step": 360
|
521 |
+
},
|
522 |
+
{
|
523 |
+
"epoch": 0.2753158589477654,
|
524 |
+
"grad_norm": 2.1718562436320727,
|
525 |
+
"learning_rate": 9.094079855091797e-06,
|
526 |
+
"loss": 0.7106,
|
527 |
+
"step": 365
|
528 |
+
},
|
529 |
+
{
|
530 |
+
"epoch": 0.2790873090703375,
|
531 |
+
"grad_norm": 2.055976595872544,
|
532 |
+
"learning_rate": 9.055901432109821e-06,
|
533 |
+
"loss": 0.7242,
|
534 |
+
"step": 370
|
535 |
+
},
|
536 |
+
{
|
537 |
+
"epoch": 0.28285875919290965,
|
538 |
+
"grad_norm": 2.2447216963743575,
|
539 |
+
"learning_rate": 9.017018691836714e-06,
|
540 |
+
"loss": 0.7269,
|
541 |
+
"step": 375
|
542 |
+
},
|
543 |
+
{
|
544 |
+
"epoch": 0.2866302093154818,
|
545 |
+
"grad_norm": 2.108026977341414,
|
546 |
+
"learning_rate": 8.97743838635626e-06,
|
547 |
+
"loss": 0.7253,
|
548 |
+
"step": 380
|
549 |
+
},
|
550 |
+
{
|
551 |
+
"epoch": 0.2904016594380539,
|
552 |
+
"grad_norm": 2.149969361483023,
|
553 |
+
"learning_rate": 8.937167388886163e-06,
|
554 |
+
"loss": 0.7154,
|
555 |
+
"step": 385
|
556 |
+
},
|
557 |
+
{
|
558 |
+
"epoch": 0.29417310956062603,
|
559 |
+
"grad_norm": 2.1649261230436543,
|
560 |
+
"learning_rate": 8.896212692584503e-06,
|
561 |
+
"loss": 0.7215,
|
562 |
+
"step": 390
|
563 |
+
},
|
564 |
+
{
|
565 |
+
"epoch": 0.29794455968319816,
|
566 |
+
"grad_norm": 1.9995253010334968,
|
567 |
+
"learning_rate": 8.854581409335341e-06,
|
568 |
+
"loss": 0.7148,
|
569 |
+
"step": 395
|
570 |
+
},
|
571 |
+
{
|
572 |
+
"epoch": 0.3017160098057703,
|
573 |
+
"grad_norm": 2.2916154939190783,
|
574 |
+
"learning_rate": 8.812280768513732e-06,
|
575 |
+
"loss": 0.7089,
|
576 |
+
"step": 400
|
577 |
+
},
|
578 |
+
{
|
579 |
+
"epoch": 0.3054874599283425,
|
580 |
+
"grad_norm": 2.1141628178573466,
|
581 |
+
"learning_rate": 8.76931811573033e-06,
|
582 |
+
"loss": 0.708,
|
583 |
+
"step": 405
|
584 |
+
},
|
585 |
+
{
|
586 |
+
"epoch": 0.3092589100509146,
|
587 |
+
"grad_norm": 2.175109844911728,
|
588 |
+
"learning_rate": 8.725700911555792e-06,
|
589 |
+
"loss": 0.7037,
|
590 |
+
"step": 410
|
591 |
+
},
|
592 |
+
{
|
593 |
+
"epoch": 0.31303036017348673,
|
594 |
+
"grad_norm": 2.101023552691967,
|
595 |
+
"learning_rate": 8.681436730225245e-06,
|
596 |
+
"loss": 0.7053,
|
597 |
+
"step": 415
|
598 |
+
},
|
599 |
+
{
|
600 |
+
"epoch": 0.31680181029605886,
|
601 |
+
"grad_norm": 2.101523445074263,
|
602 |
+
"learning_rate": 8.636533258322995e-06,
|
603 |
+
"loss": 0.6861,
|
604 |
+
"step": 420
|
605 |
+
},
|
606 |
+
{
|
607 |
+
"epoch": 0.320573260418631,
|
608 |
+
"grad_norm": 5.819641297709661,
|
609 |
+
"learning_rate": 8.590998293447728e-06,
|
610 |
+
"loss": 0.6921,
|
611 |
+
"step": 425
|
612 |
+
},
|
613 |
+
{
|
614 |
+
"epoch": 0.3243447105412031,
|
615 |
+
"grad_norm": 2.3399412061978784,
|
616 |
+
"learning_rate": 8.544839742858449e-06,
|
617 |
+
"loss": 0.691,
|
618 |
+
"step": 430
|
619 |
+
},
|
620 |
+
{
|
621 |
+
"epoch": 0.32811616066377525,
|
622 |
+
"grad_norm": 2.2092909626343173,
|
623 |
+
"learning_rate": 8.49806562210136e-06,
|
624 |
+
"loss": 0.6934,
|
625 |
+
"step": 435
|
626 |
+
},
|
627 |
+
{
|
628 |
+
"epoch": 0.3318876107863474,
|
629 |
+
"grad_norm": 2.0855142628275374,
|
630 |
+
"learning_rate": 8.450684053617936e-06,
|
631 |
+
"loss": 0.693,
|
632 |
+
"step": 440
|
633 |
+
},
|
634 |
+
{
|
635 |
+
"epoch": 0.3356590609089195,
|
636 |
+
"grad_norm": 2.259615514364146,
|
637 |
+
"learning_rate": 8.402703265334455e-06,
|
638 |
+
"loss": 0.6949,
|
639 |
+
"step": 445
|
640 |
+
},
|
641 |
+
{
|
642 |
+
"epoch": 0.33943051103149163,
|
643 |
+
"grad_norm": 2.176855477838487,
|
644 |
+
"learning_rate": 8.35413158923319e-06,
|
645 |
+
"loss": 0.6943,
|
646 |
+
"step": 450
|
647 |
+
},
|
648 |
+
{
|
649 |
+
"epoch": 0.34320196115406376,
|
650 |
+
"grad_norm": 5.3013314444050295,
|
651 |
+
"learning_rate": 8.304977459905539e-06,
|
652 |
+
"loss": 0.693,
|
653 |
+
"step": 455
|
654 |
+
},
|
655 |
+
{
|
656 |
+
"epoch": 0.3469734112766359,
|
657 |
+
"grad_norm": 2.3136109012385853,
|
658 |
+
"learning_rate": 8.255249413087342e-06,
|
659 |
+
"loss": 0.6839,
|
660 |
+
"step": 460
|
661 |
+
},
|
662 |
+
{
|
663 |
+
"epoch": 0.350744861399208,
|
664 |
+
"grad_norm": 2.5530506882002775,
|
665 |
+
"learning_rate": 8.20495608417663e-06,
|
666 |
+
"loss": 0.6837,
|
667 |
+
"step": 465
|
668 |
+
},
|
669 |
+
{
|
670 |
+
"epoch": 0.35451631152178015,
|
671 |
+
"grad_norm": 2.2039921142230923,
|
672 |
+
"learning_rate": 8.154106206734056e-06,
|
673 |
+
"loss": 0.6757,
|
674 |
+
"step": 470
|
675 |
+
},
|
676 |
+
{
|
677 |
+
"epoch": 0.3582877616443523,
|
678 |
+
"grad_norm": 2.0873079113549005,
|
679 |
+
"learning_rate": 8.102708610966306e-06,
|
680 |
+
"loss": 0.6845,
|
681 |
+
"step": 475
|
682 |
+
},
|
683 |
+
{
|
684 |
+
"epoch": 0.3620592117669244,
|
685 |
+
"grad_norm": 2.2652146917109994,
|
686 |
+
"learning_rate": 8.050772222192703e-06,
|
687 |
+
"loss": 0.679,
|
688 |
+
"step": 480
|
689 |
+
},
|
690 |
+
{
|
691 |
+
"epoch": 0.36583066188949653,
|
692 |
+
"grad_norm": 2.342496143877203,
|
693 |
+
"learning_rate": 7.998306059295302e-06,
|
694 |
+
"loss": 0.6763,
|
695 |
+
"step": 485
|
696 |
+
},
|
697 |
+
{
|
698 |
+
"epoch": 0.36960211201206866,
|
699 |
+
"grad_norm": 2.1611026997479246,
|
700 |
+
"learning_rate": 7.945319233152748e-06,
|
701 |
+
"loss": 0.6731,
|
702 |
+
"step": 490
|
703 |
+
},
|
704 |
+
{
|
705 |
+
"epoch": 0.3733735621346408,
|
706 |
+
"grad_norm": 2.1522125366560556,
|
707 |
+
"learning_rate": 7.891820945058137e-06,
|
708 |
+
"loss": 0.6704,
|
709 |
+
"step": 495
|
710 |
+
},
|
711 |
+
{
|
712 |
+
"epoch": 0.3771450122572129,
|
713 |
+
"grad_norm": 2.225656595731522,
|
714 |
+
"learning_rate": 7.837820485121196e-06,
|
715 |
+
"loss": 0.6577,
|
716 |
+
"step": 500
|
717 |
+
},
|
718 |
+
{
|
719 |
+
"epoch": 0.38091646237978505,
|
720 |
+
"grad_norm": 2.05947893221226,
|
721 |
+
"learning_rate": 7.783327230655036e-06,
|
722 |
+
"loss": 0.657,
|
723 |
+
"step": 505
|
724 |
+
},
|
725 |
+
{
|
726 |
+
"epoch": 0.3846879125023572,
|
727 |
+
"grad_norm": 2.0489553480122553,
|
728 |
+
"learning_rate": 7.728350644547748e-06,
|
729 |
+
"loss": 0.6599,
|
730 |
+
"step": 510
|
731 |
+
},
|
732 |
+
{
|
733 |
+
"epoch": 0.3884593626249293,
|
734 |
+
"grad_norm": 2.3536125168662134,
|
735 |
+
"learning_rate": 7.672900273619158e-06,
|
736 |
+
"loss": 0.6379,
|
737 |
+
"step": 515
|
738 |
+
},
|
739 |
+
{
|
740 |
+
"epoch": 0.39223081274750143,
|
741 |
+
"grad_norm": 2.278757928608761,
|
742 |
+
"learning_rate": 7.616985746962995e-06,
|
743 |
+
"loss": 0.6584,
|
744 |
+
"step": 520
|
745 |
+
},
|
746 |
+
{
|
747 |
+
"epoch": 0.39600226287007356,
|
748 |
+
"grad_norm": 2.2890835012690385,
|
749 |
+
"learning_rate": 7.560616774274775e-06,
|
750 |
+
"loss": 0.6675,
|
751 |
+
"step": 525
|
752 |
+
},
|
753 |
+
{
|
754 |
+
"epoch": 0.3997737129926457,
|
755 |
+
"grad_norm": 2.052679763492931,
|
756 |
+
"learning_rate": 7.503803144165691e-06,
|
757 |
+
"loss": 0.6532,
|
758 |
+
"step": 530
|
759 |
+
},
|
760 |
+
{
|
761 |
+
"epoch": 0.4035451631152178,
|
762 |
+
"grad_norm": 2.1962590249997804,
|
763 |
+
"learning_rate": 7.446554722462789e-06,
|
764 |
+
"loss": 0.6452,
|
765 |
+
"step": 535
|
766 |
+
},
|
767 |
+
{
|
768 |
+
"epoch": 0.40731661323778995,
|
769 |
+
"grad_norm": 2.1492418404505513,
|
770 |
+
"learning_rate": 7.388881450495753e-06,
|
771 |
+
"loss": 0.6399,
|
772 |
+
"step": 540
|
773 |
+
},
|
774 |
+
{
|
775 |
+
"epoch": 0.4110880633603621,
|
776 |
+
"grad_norm": 2.140785983967721,
|
777 |
+
"learning_rate": 7.33079334337056e-06,
|
778 |
+
"loss": 0.6519,
|
779 |
+
"step": 545
|
780 |
+
},
|
781 |
+
{
|
782 |
+
"epoch": 0.4148595134829342,
|
783 |
+
"grad_norm": 2.2023514849237857,
|
784 |
+
"learning_rate": 7.272300488230342e-06,
|
785 |
+
"loss": 0.6451,
|
786 |
+
"step": 550
|
787 |
+
},
|
788 |
+
{
|
789 |
+
"epoch": 0.41863096360550633,
|
790 |
+
"grad_norm": 2.1139769229137197,
|
791 |
+
"learning_rate": 7.213413042503714e-06,
|
792 |
+
"loss": 0.6465,
|
793 |
+
"step": 555
|
794 |
+
},
|
795 |
+
{
|
796 |
+
"epoch": 0.42240241372807846,
|
797 |
+
"grad_norm": 2.1321527320416216,
|
798 |
+
"learning_rate": 7.154141232140925e-06,
|
799 |
+
"loss": 0.632,
|
800 |
+
"step": 560
|
801 |
+
},
|
802 |
+
{
|
803 |
+
"epoch": 0.4261738638506506,
|
804 |
+
"grad_norm": 2.1408532489827383,
|
805 |
+
"learning_rate": 7.094495349838093e-06,
|
806 |
+
"loss": 0.64,
|
807 |
+
"step": 565
|
808 |
+
},
|
809 |
+
{
|
810 |
+
"epoch": 0.4299453139732227,
|
811 |
+
"grad_norm": 2.1424271774917343,
|
812 |
+
"learning_rate": 7.034485753249846e-06,
|
813 |
+
"loss": 0.6318,
|
814 |
+
"step": 570
|
815 |
+
},
|
816 |
+
{
|
817 |
+
"epoch": 0.43371676409579485,
|
818 |
+
"grad_norm": 2.4132135353951223,
|
819 |
+
"learning_rate": 6.9741228631907e-06,
|
820 |
+
"loss": 0.6388,
|
821 |
+
"step": 575
|
822 |
+
},
|
823 |
+
{
|
824 |
+
"epoch": 0.437488214218367,
|
825 |
+
"grad_norm": 2.2228430360361373,
|
826 |
+
"learning_rate": 6.913417161825449e-06,
|
827 |
+
"loss": 0.6232,
|
828 |
+
"step": 580
|
829 |
+
},
|
830 |
+
{
|
831 |
+
"epoch": 0.4412596643409391,
|
832 |
+
"grad_norm": 2.101068755168653,
|
833 |
+
"learning_rate": 6.852379190848923e-06,
|
834 |
+
"loss": 0.6274,
|
835 |
+
"step": 585
|
836 |
+
},
|
837 |
+
{
|
838 |
+
"epoch": 0.44503111446351123,
|
839 |
+
"grad_norm": 2.283059476668117,
|
840 |
+
"learning_rate": 6.791019549655384e-06,
|
841 |
+
"loss": 0.6178,
|
842 |
+
"step": 590
|
843 |
+
},
|
844 |
+
{
|
845 |
+
"epoch": 0.44880256458608336,
|
846 |
+
"grad_norm": 2.1112204908741137,
|
847 |
+
"learning_rate": 6.72934889349792e-06,
|
848 |
+
"loss": 0.631,
|
849 |
+
"step": 595
|
850 |
+
},
|
851 |
+
{
|
852 |
+
"epoch": 0.4525740147086555,
|
853 |
+
"grad_norm": 2.1049933744197813,
|
854 |
+
"learning_rate": 6.667377931638144e-06,
|
855 |
+
"loss": 0.6134,
|
856 |
+
"step": 600
|
857 |
+
},
|
858 |
+
{
|
859 |
+
"epoch": 0.4563454648312276,
|
860 |
+
"grad_norm": 2.235411557732047,
|
861 |
+
"learning_rate": 6.605117425486483e-06,
|
862 |
+
"loss": 0.6119,
|
863 |
+
"step": 605
|
864 |
+
},
|
865 |
+
{
|
866 |
+
"epoch": 0.46011691495379975,
|
867 |
+
"grad_norm": 2.0415112264754107,
|
868 |
+
"learning_rate": 6.542578186733453e-06,
|
869 |
+
"loss": 0.6173,
|
870 |
+
"step": 610
|
871 |
+
},
|
872 |
+
{
|
873 |
+
"epoch": 0.4638883650763719,
|
874 |
+
"grad_norm": 2.185203312850119,
|
875 |
+
"learning_rate": 6.47977107547217e-06,
|
876 |
+
"loss": 0.6219,
|
877 |
+
"step": 615
|
878 |
+
},
|
879 |
+
{
|
880 |
+
"epoch": 0.467659815198944,
|
881 |
+
"grad_norm": 2.21664954602057,
|
882 |
+
"learning_rate": 6.4167069983124765e-06,
|
883 |
+
"loss": 0.6144,
|
884 |
+
"step": 620
|
885 |
+
},
|
886 |
+
{
|
887 |
+
"epoch": 0.47143126532151614,
|
888 |
+
"grad_norm": 2.1363794732205807,
|
889 |
+
"learning_rate": 6.353396906486971e-06,
|
890 |
+
"loss": 0.621,
|
891 |
+
"step": 625
|
892 |
+
},
|
893 |
+
{
|
894 |
+
"epoch": 0.47520271544408826,
|
895 |
+
"grad_norm": 2.2099254913643502,
|
896 |
+
"learning_rate": 6.289851793949311e-06,
|
897 |
+
"loss": 0.6118,
|
898 |
+
"step": 630
|
899 |
+
},
|
900 |
+
{
|
901 |
+
"epoch": 0.4789741655666604,
|
902 |
+
"grad_norm": 2.3004798131436055,
|
903 |
+
"learning_rate": 6.2260826954650795e-06,
|
904 |
+
"loss": 0.6197,
|
905 |
+
"step": 635
|
906 |
+
},
|
907 |
+
{
|
908 |
+
"epoch": 0.4827456156892325,
|
909 |
+
"grad_norm": 2.154968570593537,
|
910 |
+
"learning_rate": 6.1621006846955676e-06,
|
911 |
+
"loss": 0.6012,
|
912 |
+
"step": 640
|
913 |
+
},
|
914 |
+
{
|
915 |
+
"epoch": 0.48651706581180465,
|
916 |
+
"grad_norm": 2.2605674779702847,
|
917 |
+
"learning_rate": 6.097916872274815e-06,
|
918 |
+
"loss": 0.601,
|
919 |
+
"step": 645
|
920 |
+
},
|
921 |
+
{
|
922 |
+
"epoch": 0.4902885159343768,
|
923 |
+
"grad_norm": 2.2052321176133134,
|
924 |
+
"learning_rate": 6.033542403880216e-06,
|
925 |
+
"loss": 0.6092,
|
926 |
+
"step": 650
|
927 |
+
},
|
928 |
+
{
|
929 |
+
"epoch": 0.4940599660569489,
|
930 |
+
"grad_norm": 2.1808520045523427,
|
931 |
+
"learning_rate": 5.96898845829704e-06,
|
932 |
+
"loss": 0.6059,
|
933 |
+
"step": 655
|
934 |
+
},
|
935 |
+
{
|
936 |
+
"epoch": 0.49783141617952104,
|
937 |
+
"grad_norm": 2.300580579687932,
|
938 |
+
"learning_rate": 5.904266245477219e-06,
|
939 |
+
"loss": 0.5946,
|
940 |
+
"step": 660
|
941 |
+
},
|
942 |
+
{
|
943 |
+
"epoch": 0.5016028663020932,
|
944 |
+
"grad_norm": 2.0297693933559398,
|
945 |
+
"learning_rate": 5.839387004592705e-06,
|
946 |
+
"loss": 0.5859,
|
947 |
+
"step": 665
|
948 |
+
},
|
949 |
+
{
|
950 |
+
"epoch": 0.5053743164246652,
|
951 |
+
"grad_norm": 2.0914074101770623,
|
952 |
+
"learning_rate": 5.7743620020837565e-06,
|
953 |
+
"loss": 0.598,
|
954 |
+
"step": 670
|
955 |
+
},
|
956 |
+
{
|
957 |
+
"epoch": 0.5091457665472374,
|
958 |
+
"grad_norm": 2.0766975702892836,
|
959 |
+
"learning_rate": 5.709202529702501e-06,
|
960 |
+
"loss": 0.5879,
|
961 |
+
"step": 675
|
962 |
+
},
|
963 |
+
{
|
964 |
+
"epoch": 0.5129172166698095,
|
965 |
+
"grad_norm": 2.213588628181455,
|
966 |
+
"learning_rate": 5.643919902552091e-06,
|
967 |
+
"loss": 0.5913,
|
968 |
+
"step": 680
|
969 |
+
},
|
970 |
+
{
|
971 |
+
"epoch": 0.5166886667923817,
|
972 |
+
"grad_norm": 2.1397173162628156,
|
973 |
+
"learning_rate": 5.578525457121807e-06,
|
974 |
+
"loss": 0.583,
|
975 |
+
"step": 685
|
976 |
+
},
|
977 |
+
{
|
978 |
+
"epoch": 0.5204601169149538,
|
979 |
+
"grad_norm": 2.2408994529326103,
|
980 |
+
"learning_rate": 5.513030549318453e-06,
|
981 |
+
"loss": 0.5783,
|
982 |
+
"step": 690
|
983 |
+
},
|
984 |
+
{
|
985 |
+
"epoch": 0.5242315670375259,
|
986 |
+
"grad_norm": 2.243980907997254,
|
987 |
+
"learning_rate": 5.447446552494369e-06,
|
988 |
+
"loss": 0.5818,
|
989 |
+
"step": 695
|
990 |
+
},
|
991 |
+
{
|
992 |
+
"epoch": 0.528003017160098,
|
993 |
+
"grad_norm": 2.0846263742726165,
|
994 |
+
"learning_rate": 5.381784855472424e-06,
|
995 |
+
"loss": 0.5843,
|
996 |
+
"step": 700
|
997 |
+
},
|
998 |
+
{
|
999 |
+
"epoch": 0.5317744672826702,
|
1000 |
+
"grad_norm": 2.1221104917928284,
|
1001 |
+
"learning_rate": 5.316056860568318e-06,
|
1002 |
+
"loss": 0.5921,
|
1003 |
+
"step": 705
|
1004 |
+
},
|
1005 |
+
{
|
1006 |
+
"epoch": 0.5355459174052423,
|
1007 |
+
"grad_norm": 2.12080931648079,
|
1008 |
+
"learning_rate": 5.250273981610543e-06,
|
1009 |
+
"loss": 0.5782,
|
1010 |
+
"step": 710
|
1011 |
+
},
|
1012 |
+
{
|
1013 |
+
"epoch": 0.5393173675278145,
|
1014 |
+
"grad_norm": 2.1035292957689036,
|
1015 |
+
"learning_rate": 5.184447641958339e-06,
|
1016 |
+
"loss": 0.5822,
|
1017 |
+
"step": 715
|
1018 |
+
},
|
1019 |
+
{
|
1020 |
+
"epoch": 0.5430888176503865,
|
1021 |
+
"grad_norm": 2.06196021971329,
|
1022 |
+
"learning_rate": 5.118589272518008e-06,
|
1023 |
+
"loss": 0.5728,
|
1024 |
+
"step": 720
|
1025 |
+
},
|
1026 |
+
{
|
1027 |
+
"epoch": 0.5468602677729587,
|
1028 |
+
"grad_norm": 2.055521224880793,
|
1029 |
+
"learning_rate": 5.052710309757899e-06,
|
1030 |
+
"loss": 0.5879,
|
1031 |
+
"step": 725
|
1032 |
+
},
|
1033 |
+
{
|
1034 |
+
"epoch": 0.5506317178955308,
|
1035 |
+
"grad_norm": 2.1354094712615774,
|
1036 |
+
"learning_rate": 4.9868221937224435e-06,
|
1037 |
+
"loss": 0.5767,
|
1038 |
+
"step": 730
|
1039 |
+
},
|
1040 |
+
{
|
1041 |
+
"epoch": 0.554403168018103,
|
1042 |
+
"grad_norm": 2.152252412903219,
|
1043 |
+
"learning_rate": 4.920936366045564e-06,
|
1044 |
+
"loss": 0.5769,
|
1045 |
+
"step": 735
|
1046 |
+
},
|
1047 |
+
{
|
1048 |
+
"epoch": 0.558174618140675,
|
1049 |
+
"grad_norm": 2.2029723753911066,
|
1050 |
+
"learning_rate": 4.8550642679637985e-06,
|
1051 |
+
"loss": 0.578,
|
1052 |
+
"step": 740
|
1053 |
+
},
|
1054 |
+
{
|
1055 |
+
"epoch": 0.5619460682632472,
|
1056 |
+
"grad_norm": 2.129220459700306,
|
1057 |
+
"learning_rate": 4.789217338329515e-06,
|
1058 |
+
"loss": 0.5599,
|
1059 |
+
"step": 745
|
1060 |
+
},
|
1061 |
+
{
|
1062 |
+
"epoch": 0.5657175183858193,
|
1063 |
+
"grad_norm": 2.3375640799042507,
|
1064 |
+
"learning_rate": 4.723407011624509e-06,
|
1065 |
+
"loss": 0.5624,
|
1066 |
+
"step": 750
|
1067 |
+
},
|
1068 |
+
{
|
1069 |
+
"epoch": 0.5694889685083915,
|
1070 |
+
"grad_norm": 2.086098519936994,
|
1071 |
+
"learning_rate": 4.657644715974397e-06,
|
1072 |
+
"loss": 0.5594,
|
1073 |
+
"step": 755
|
1074 |
+
},
|
1075 |
+
{
|
1076 |
+
"epoch": 0.5732604186309636,
|
1077 |
+
"grad_norm": 2.0842869926932672,
|
1078 |
+
"learning_rate": 4.591941871164075e-06,
|
1079 |
+
"loss": 0.5705,
|
1080 |
+
"step": 760
|
1081 |
+
},
|
1082 |
+
{
|
1083 |
+
"epoch": 0.5770318687535357,
|
1084 |
+
"grad_norm": 2.266813054356403,
|
1085 |
+
"learning_rate": 4.526309886654659e-06,
|
1086 |
+
"loss": 0.554,
|
1087 |
+
"step": 765
|
1088 |
+
},
|
1089 |
+
{
|
1090 |
+
"epoch": 0.5808033188761078,
|
1091 |
+
"grad_norm": 2.1089635718005333,
|
1092 |
+
"learning_rate": 4.4607601596021995e-06,
|
1093 |
+
"loss": 0.5583,
|
1094 |
+
"step": 770
|
1095 |
+
},
|
1096 |
+
{
|
1097 |
+
"epoch": 0.58457476899868,
|
1098 |
+
"grad_norm": 2.2148767655660984,
|
1099 |
+
"learning_rate": 4.395304072878533e-06,
|
1100 |
+
"loss": 0.5584,
|
1101 |
+
"step": 775
|
1102 |
+
},
|
1103 |
+
{
|
1104 |
+
"epoch": 0.5883462191212521,
|
1105 |
+
"grad_norm": 2.0165033312706164,
|
1106 |
+
"learning_rate": 4.329952993094627e-06,
|
1107 |
+
"loss": 0.5587,
|
1108 |
+
"step": 780
|
1109 |
+
},
|
1110 |
+
{
|
1111 |
+
"epoch": 0.5921176692438243,
|
1112 |
+
"grad_norm": 2.0613406319368206,
|
1113 |
+
"learning_rate": 4.264718268626729e-06,
|
1114 |
+
"loss": 0.5549,
|
1115 |
+
"step": 785
|
1116 |
+
},
|
1117 |
+
{
|
1118 |
+
"epoch": 0.5958891193663963,
|
1119 |
+
"grad_norm": 2.23703436211283,
|
1120 |
+
"learning_rate": 4.199611227645705e-06,
|
1121 |
+
"loss": 0.5608,
|
1122 |
+
"step": 790
|
1123 |
+
},
|
1124 |
+
{
|
1125 |
+
"epoch": 0.5996605694889685,
|
1126 |
+
"grad_norm": 2.1229182241921354,
|
1127 |
+
"learning_rate": 4.134643176149861e-06,
|
1128 |
+
"loss": 0.5423,
|
1129 |
+
"step": 795
|
1130 |
+
},
|
1131 |
+
{
|
1132 |
+
"epoch": 0.6034320196115406,
|
1133 |
+
"grad_norm": 2.16174398622042,
|
1134 |
+
"learning_rate": 4.069825396001643e-06,
|
1135 |
+
"loss": 0.5496,
|
1136 |
+
"step": 800
|
1137 |
+
},
|
1138 |
+
{
|
1139 |
+
"epoch": 0.6072034697341128,
|
1140 |
+
"grad_norm": 2.128117272383355,
|
1141 |
+
"learning_rate": 4.005169142968503e-06,
|
1142 |
+
"loss": 0.5519,
|
1143 |
+
"step": 805
|
1144 |
+
},
|
1145 |
+
{
|
1146 |
+
"epoch": 0.610974919856685,
|
1147 |
+
"grad_norm": 2.0175251911767216,
|
1148 |
+
"learning_rate": 3.94068564476831e-06,
|
1149 |
+
"loss": 0.5475,
|
1150 |
+
"step": 810
|
1151 |
+
},
|
1152 |
+
{
|
1153 |
+
"epoch": 0.614746369979257,
|
1154 |
+
"grad_norm": 2.0746720466907558,
|
1155 |
+
"learning_rate": 3.876386099119635e-06,
|
1156 |
+
"loss": 0.5461,
|
1157 |
+
"step": 815
|
1158 |
+
},
|
1159 |
+
{
|
1160 |
+
"epoch": 0.6185178201018292,
|
1161 |
+
"grad_norm": 2.130560812479597,
|
1162 |
+
"learning_rate": 3.8122816717972287e-06,
|
1163 |
+
"loss": 0.5407,
|
1164 |
+
"step": 820
|
1165 |
+
},
|
1166 |
+
{
|
1167 |
+
"epoch": 0.6222892702244013,
|
1168 |
+
"grad_norm": 2.1146940344656375,
|
1169 |
+
"learning_rate": 3.7483834946930682e-06,
|
1170 |
+
"loss": 0.5504,
|
1171 |
+
"step": 825
|
1172 |
+
},
|
1173 |
+
{
|
1174 |
+
"epoch": 0.6260607203469735,
|
1175 |
+
"grad_norm": 2.174000452771408,
|
1176 |
+
"learning_rate": 3.684702663883266e-06,
|
1177 |
+
"loss": 0.5497,
|
1178 |
+
"step": 830
|
1179 |
+
},
|
1180 |
+
{
|
1181 |
+
"epoch": 0.6298321704695455,
|
1182 |
+
"grad_norm": 2.173713479741331,
|
1183 |
+
"learning_rate": 3.6212502377012164e-06,
|
1184 |
+
"loss": 0.5456,
|
1185 |
+
"step": 835
|
1186 |
+
},
|
1187 |
+
{
|
1188 |
+
"epoch": 0.6336036205921177,
|
1189 |
+
"grad_norm": 2.1517414568189275,
|
1190 |
+
"learning_rate": 3.558037234817291e-06,
|
1191 |
+
"loss": 0.5344,
|
1192 |
+
"step": 840
|
1193 |
+
},
|
1194 |
+
{
|
1195 |
+
"epoch": 0.6373750707146898,
|
1196 |
+
"grad_norm": 2.0901545430594837,
|
1197 |
+
"learning_rate": 3.495074632325407e-06,
|
1198 |
+
"loss": 0.5357,
|
1199 |
+
"step": 845
|
1200 |
+
},
|
1201 |
+
{
|
1202 |
+
"epoch": 0.641146520837262,
|
1203 |
+
"grad_norm": 2.1721190985604073,
|
1204 |
+
"learning_rate": 3.4323733638368427e-06,
|
1205 |
+
"loss": 0.5366,
|
1206 |
+
"step": 850
|
1207 |
+
},
|
1208 |
+
{
|
1209 |
+
"epoch": 0.644917970959834,
|
1210 |
+
"grad_norm": 2.1159591065311836,
|
1211 |
+
"learning_rate": 3.3699443175815773e-06,
|
1212 |
+
"loss": 0.5209,
|
1213 |
+
"step": 855
|
1214 |
+
},
|
1215 |
+
{
|
1216 |
+
"epoch": 0.6486894210824062,
|
1217 |
+
"grad_norm": 2.092825596814058,
|
1218 |
+
"learning_rate": 3.3077983345175295e-06,
|
1219 |
+
"loss": 0.5357,
|
1220 |
+
"step": 860
|
1221 |
+
},
|
1222 |
+
{
|
1223 |
+
"epoch": 0.6524608712049783,
|
1224 |
+
"grad_norm": 2.112302580054298,
|
1225 |
+
"learning_rate": 3.2459462064479972e-06,
|
1226 |
+
"loss": 0.5399,
|
1227 |
+
"step": 865
|
1228 |
+
},
|
1229 |
+
{
|
1230 |
+
"epoch": 0.6562323213275505,
|
1231 |
+
"grad_norm": 2.118173020663562,
|
1232 |
+
"learning_rate": 3.1843986741476285e-06,
|
1233 |
+
"loss": 0.5381,
|
1234 |
+
"step": 870
|
1235 |
+
},
|
1236 |
+
{
|
1237 |
+
"epoch": 0.6600037714501226,
|
1238 |
+
"grad_norm": 2.089034293925172,
|
1239 |
+
"learning_rate": 3.1231664254972736e-06,
|
1240 |
+
"loss": 0.5239,
|
1241 |
+
"step": 875
|
1242 |
+
},
|
1243 |
+
{
|
1244 |
+
"epoch": 0.6637752215726948,
|
1245 |
+
"grad_norm": 2.129522823953631,
|
1246 |
+
"learning_rate": 3.0622600936279914e-06,
|
1247 |
+
"loss": 0.5461,
|
1248 |
+
"step": 880
|
1249 |
+
},
|
1250 |
+
{
|
1251 |
+
"epoch": 0.6675466716952668,
|
1252 |
+
"grad_norm": 2.0687230926828835,
|
1253 |
+
"learning_rate": 3.0016902550745896e-06,
|
1254 |
+
"loss": 0.5315,
|
1255 |
+
"step": 885
|
1256 |
+
},
|
1257 |
+
{
|
1258 |
+
"epoch": 0.671318121817839,
|
1259 |
+
"grad_norm": 2.1182888988383146,
|
1260 |
+
"learning_rate": 2.941467427938981e-06,
|
1261 |
+
"loss": 0.5251,
|
1262 |
+
"step": 890
|
1263 |
+
},
|
1264 |
+
{
|
1265 |
+
"epoch": 0.6750895719404111,
|
1266 |
+
"grad_norm": 2.166050854772299,
|
1267 |
+
"learning_rate": 2.881602070063695e-06,
|
1268 |
+
"loss": 0.5313,
|
1269 |
+
"step": 895
|
1270 |
+
},
|
1271 |
+
{
|
1272 |
+
"epoch": 0.6788610220629833,
|
1273 |
+
"grad_norm": 2.119609605339128,
|
1274 |
+
"learning_rate": 2.822104577215831e-06,
|
1275 |
+
"loss": 0.5298,
|
1276 |
+
"step": 900
|
1277 |
+
},
|
1278 |
+
{
|
1279 |
+
"epoch": 0.6826324721855553,
|
1280 |
+
"grad_norm": 2.3123977751286895,
|
1281 |
+
"learning_rate": 2.762985281281828e-06,
|
1282 |
+
"loss": 0.5162,
|
1283 |
+
"step": 905
|
1284 |
+
},
|
1285 |
+
{
|
1286 |
+
"epoch": 0.6864039223081275,
|
1287 |
+
"grad_norm": 2.147092195126045,
|
1288 |
+
"learning_rate": 2.7042544484732958e-06,
|
1289 |
+
"loss": 0.5225,
|
1290 |
+
"step": 910
|
1291 |
+
},
|
1292 |
+
{
|
1293 |
+
"epoch": 0.6901753724306996,
|
1294 |
+
"grad_norm": 2.1358012203129064,
|
1295 |
+
"learning_rate": 2.6459222775442582e-06,
|
1296 |
+
"loss": 0.5083,
|
1297 |
+
"step": 915
|
1298 |
+
},
|
1299 |
+
{
|
1300 |
+
"epoch": 0.6939468225532718,
|
1301 |
+
"grad_norm": 2.086154110222615,
|
1302 |
+
"learning_rate": 2.587998898020131e-06,
|
1303 |
+
"loss": 0.5163,
|
1304 |
+
"step": 920
|
1305 |
+
},
|
1306 |
+
{
|
1307 |
+
"epoch": 0.6977182726758439,
|
1308 |
+
"grad_norm": 2.1069385491797905,
|
1309 |
+
"learning_rate": 2.530494368438683e-06,
|
1310 |
+
"loss": 0.5131,
|
1311 |
+
"step": 925
|
1312 |
+
},
|
1313 |
+
{
|
1314 |
+
"epoch": 0.701489722798416,
|
1315 |
+
"grad_norm": 2.0817537626792757,
|
1316 |
+
"learning_rate": 2.473418674603363e-06,
|
1317 |
+
"loss": 0.5121,
|
1318 |
+
"step": 930
|
1319 |
+
},
|
1320 |
+
{
|
1321 |
+
"epoch": 0.7052611729209881,
|
1322 |
+
"grad_norm": 2.177796705379638,
|
1323 |
+
"learning_rate": 2.4167817278492337e-06,
|
1324 |
+
"loss": 0.5085,
|
1325 |
+
"step": 935
|
1326 |
+
},
|
1327 |
+
{
|
1328 |
+
"epoch": 0.7090326230435603,
|
1329 |
+
"grad_norm": 2.0422929484726238,
|
1330 |
+
"learning_rate": 2.3605933633218396e-06,
|
1331 |
+
"loss": 0.5126,
|
1332 |
+
"step": 940
|
1333 |
+
},
|
1334 |
+
{
|
1335 |
+
"epoch": 0.7128040731661324,
|
1336 |
+
"grad_norm": 2.0950516494712907,
|
1337 |
+
"learning_rate": 2.304863338269326e-06,
|
1338 |
+
"loss": 0.5019,
|
1339 |
+
"step": 945
|
1340 |
+
},
|
1341 |
+
{
|
1342 |
+
"epoch": 0.7165755232887046,
|
1343 |
+
"grad_norm": 2.139347400411628,
|
1344 |
+
"learning_rate": 2.249601330348044e-06,
|
1345 |
+
"loss": 0.5181,
|
1346 |
+
"step": 950
|
1347 |
+
},
|
1348 |
+
{
|
1349 |
+
"epoch": 0.7203469734112766,
|
1350 |
+
"grad_norm": 2.0787373792617103,
|
1351 |
+
"learning_rate": 2.194816935942024e-06,
|
1352 |
+
"loss": 0.5095,
|
1353 |
+
"step": 955
|
1354 |
+
},
|
1355 |
+
{
|
1356 |
+
"epoch": 0.7241184235338488,
|
1357 |
+
"grad_norm": 2.0934162351579007,
|
1358 |
+
"learning_rate": 2.140519668496529e-06,
|
1359 |
+
"loss": 0.5155,
|
1360 |
+
"step": 960
|
1361 |
+
},
|
1362 |
+
{
|
1363 |
+
"epoch": 0.7278898736564209,
|
1364 |
+
"grad_norm": 2.118132732572834,
|
1365 |
+
"learning_rate": 2.086718956866024e-06,
|
1366 |
+
"loss": 0.4989,
|
1367 |
+
"step": 965
|
1368 |
+
},
|
1369 |
+
{
|
1370 |
+
"epoch": 0.7316613237789931,
|
1371 |
+
"grad_norm": 2.015918946806562,
|
1372 |
+
"learning_rate": 2.033424143676825e-06,
|
1373 |
+
"loss": 0.4949,
|
1374 |
+
"step": 970
|
1375 |
+
},
|
1376 |
+
{
|
1377 |
+
"epoch": 0.7354327739015651,
|
1378 |
+
"grad_norm": 2.270252257697222,
|
1379 |
+
"learning_rate": 1.9806444837047478e-06,
|
1380 |
+
"loss": 0.5106,
|
1381 |
+
"step": 975
|
1382 |
+
},
|
1383 |
+
{
|
1384 |
+
"epoch": 0.7392042240241373,
|
1385 |
+
"grad_norm": 2.124764638447049,
|
1386 |
+
"learning_rate": 1.928389142267969e-06,
|
1387 |
+
"loss": 0.5041,
|
1388 |
+
"step": 980
|
1389 |
+
},
|
1390 |
+
{
|
1391 |
+
"epoch": 0.7429756741467094,
|
1392 |
+
"grad_norm": 2.047944456908165,
|
1393 |
+
"learning_rate": 1.8766671936354647e-06,
|
1394 |
+
"loss": 0.5092,
|
1395 |
+
"step": 985
|
1396 |
+
},
|
1397 |
+
{
|
1398 |
+
"epoch": 0.7467471242692816,
|
1399 |
+
"grad_norm": 2.0523494780642264,
|
1400 |
+
"learning_rate": 1.8254876194512344e-06,
|
1401 |
+
"loss": 0.4972,
|
1402 |
+
"step": 990
|
1403 |
+
},
|
1404 |
+
{
|
1405 |
+
"epoch": 0.7505185743918537,
|
1406 |
+
"grad_norm": 2.070102714868304,
|
1407 |
+
"learning_rate": 1.7748593071746089e-06,
|
1408 |
+
"loss": 0.516,
|
1409 |
+
"step": 995
|
1410 |
+
},
|
1411 |
+
{
|
1412 |
+
"epoch": 0.7542900245144258,
|
1413 |
+
"grad_norm": 2.1874025056879978,
|
1414 |
+
"learning_rate": 1.7247910485369417e-06,
|
1415 |
+
"loss": 0.504,
|
1416 |
+
"step": 1000
|
1417 |
+
},
|
1418 |
+
{
|
1419 |
+
"epoch": 0.7580614746369979,
|
1420 |
+
"grad_norm": 2.1407434998612547,
|
1421 |
+
"learning_rate": 1.6752915380148772e-06,
|
1422 |
+
"loss": 0.4958,
|
1423 |
+
"step": 1005
|
1424 |
+
},
|
1425 |
+
{
|
1426 |
+
"epoch": 0.7618329247595701,
|
1427 |
+
"grad_norm": 2.090141627816375,
|
1428 |
+
"learning_rate": 1.626369371320553e-06,
|
1429 |
+
"loss": 0.4954,
|
1430 |
+
"step": 1010
|
1431 |
+
},
|
1432 |
+
{
|
1433 |
+
"epoch": 0.7656043748821422,
|
1434 |
+
"grad_norm": 2.0433900279296147,
|
1435 |
+
"learning_rate": 1.578033043908928e-06,
|
1436 |
+
"loss": 0.4994,
|
1437 |
+
"step": 1015
|
1438 |
+
},
|
1439 |
+
{
|
1440 |
+
"epoch": 0.7693758250047144,
|
1441 |
+
"grad_norm": 2.3054787165813257,
|
1442 |
+
"learning_rate": 1.5302909495025164e-06,
|
1443 |
+
"loss": 0.4827,
|
1444 |
+
"step": 1020
|
1445 |
+
},
|
1446 |
+
{
|
1447 |
+
"epoch": 0.7731472751272864,
|
1448 |
+
"grad_norm": 2.07475519454638,
|
1449 |
+
"learning_rate": 1.4831513786338126e-06,
|
1450 |
+
"loss": 0.4983,
|
1451 |
+
"step": 1025
|
1452 |
+
},
|
1453 |
+
{
|
1454 |
+
"epoch": 0.7769187252498586,
|
1455 |
+
"grad_norm": 2.1363918208165686,
|
1456 |
+
"learning_rate": 1.4366225172056085e-06,
|
1457 |
+
"loss": 0.4939,
|
1458 |
+
"step": 1030
|
1459 |
+
},
|
1460 |
+
{
|
1461 |
+
"epoch": 0.7806901753724307,
|
1462 |
+
"grad_norm": 2.3053265439992034,
|
1463 |
+
"learning_rate": 1.390712445069496e-06,
|
1464 |
+
"loss": 0.4903,
|
1465 |
+
"step": 1035
|
1466 |
+
},
|
1467 |
+
{
|
1468 |
+
"epoch": 0.7844616254950029,
|
1469 |
+
"grad_norm": 2.0769867503422765,
|
1470 |
+
"learning_rate": 1.3454291346227787e-06,
|
1471 |
+
"loss": 0.4974,
|
1472 |
+
"step": 1040
|
1473 |
+
},
|
1474 |
+
{
|
1475 |
+
"epoch": 0.7882330756175749,
|
1476 |
+
"grad_norm": 2.1092355082866368,
|
1477 |
+
"learning_rate": 1.3007804494240478e-06,
|
1478 |
+
"loss": 0.4926,
|
1479 |
+
"step": 1045
|
1480 |
+
},
|
1481 |
+
{
|
1482 |
+
"epoch": 0.7920045257401471,
|
1483 |
+
"grad_norm": 2.0675161012597387,
|
1484 |
+
"learning_rate": 1.2567741428276513e-06,
|
1485 |
+
"loss": 0.4876,
|
1486 |
+
"step": 1050
|
1487 |
+
},
|
1488 |
+
{
|
1489 |
+
"epoch": 0.7957759758627192,
|
1490 |
+
"grad_norm": 2.1019083361876274,
|
1491 |
+
"learning_rate": 1.213417856637311e-06,
|
1492 |
+
"loss": 0.4805,
|
1493 |
+
"step": 1055
|
1494 |
+
},
|
1495 |
+
{
|
1496 |
+
"epoch": 0.7995474259852914,
|
1497 |
+
"grad_norm": 2.044608822527271,
|
1498 |
+
"learning_rate": 1.1707191197791012e-06,
|
1499 |
+
"loss": 0.488,
|
1500 |
+
"step": 1060
|
1501 |
+
},
|
1502 |
+
{
|
1503 |
+
"epoch": 0.8033188761078635,
|
1504 |
+
"grad_norm": 2.0934676621380035,
|
1505 |
+
"learning_rate": 1.128685346994028e-06,
|
1506 |
+
"loss": 0.4805,
|
1507 |
+
"step": 1065
|
1508 |
+
},
|
1509 |
+
{
|
1510 |
+
"epoch": 0.8070903262304356,
|
1511 |
+
"grad_norm": 2.168897054466299,
|
1512 |
+
"learning_rate": 1.0873238375504536e-06,
|
1513 |
+
"loss": 0.4966,
|
1514 |
+
"step": 1070
|
1515 |
+
},
|
1516 |
+
{
|
1517 |
+
"epoch": 0.8108617763530077,
|
1518 |
+
"grad_norm": 2.0831295415470694,
|
1519 |
+
"learning_rate": 1.046641773976544e-06,
|
1520 |
+
"loss": 0.4888,
|
1521 |
+
"step": 1075
|
1522 |
+
},
|
1523 |
+
{
|
1524 |
+
"epoch": 0.8146332264755799,
|
1525 |
+
"grad_norm": 2.0591460741221517,
|
1526 |
+
"learning_rate": 1.0066462208130174e-06,
|
1527 |
+
"loss": 0.4808,
|
1528 |
+
"step": 1080
|
1529 |
+
},
|
1530 |
+
{
|
1531 |
+
"epoch": 0.818404676598152,
|
1532 |
+
"grad_norm": 2.1413757269828677,
|
1533 |
+
"learning_rate": 9.673441233863661e-07,
|
1534 |
+
"loss": 0.4846,
|
1535 |
+
"step": 1085
|
1536 |
+
},
|
1537 |
+
{
|
1538 |
+
"epoch": 0.8221761267207242,
|
1539 |
+
"grad_norm": 2.0597898524385085,
|
1540 |
+
"learning_rate": 9.28742306602779e-07,
|
1541 |
+
"loss": 0.4801,
|
1542 |
+
"step": 1090
|
1543 |
+
},
|
1544 |
+
{
|
1545 |
+
"epoch": 0.8259475768432962,
|
1546 |
+
"grad_norm": 2.0619533474846072,
|
1547 |
+
"learning_rate": 8.908474737629897e-07,
|
1548 |
+
"loss": 0.4818,
|
1549 |
+
"step": 1095
|
1550 |
+
},
|
1551 |
+
{
|
1552 |
+
"epoch": 0.8297190269658684,
|
1553 |
+
"grad_norm": 2.0785020873929563,
|
1554 |
+
"learning_rate": 8.536662053982181e-07,
|
1555 |
+
"loss": 0.4796,
|
1556 |
+
"step": 1100
|
1557 |
+
},
|
1558 |
+
{
|
1559 |
+
"epoch": 0.8334904770884405,
|
1560 |
+
"grad_norm": 2.0473348850093886,
|
1561 |
+
"learning_rate": 8.172049581274571e-07,
|
1562 |
+
"loss": 0.4818,
|
1563 |
+
"step": 1105
|
1564 |
+
},
|
1565 |
+
{
|
1566 |
+
"epoch": 0.8372619272110127,
|
1567 |
+
"grad_norm": 2.0982171571132793,
|
1568 |
+
"learning_rate": 7.814700635362598e-07,
|
1569 |
+
"loss": 0.473,
|
1570 |
+
"step": 1110
|
1571 |
+
},
|
1572 |
+
{
|
1573 |
+
"epoch": 0.8410333773335847,
|
1574 |
+
"grad_norm": 2.1276785014387114,
|
1575 |
+
"learning_rate": 7.464677270772441e-07,
|
1576 |
+
"loss": 0.4779,
|
1577 |
+
"step": 1115
|
1578 |
+
},
|
1579 |
+
{
|
1580 |
+
"epoch": 0.8448048274561569,
|
1581 |
+
"grad_norm": 2.1127490084192146,
|
1582 |
+
"learning_rate": 7.122040269924985e-07,
|
1583 |
+
"loss": 0.4741,
|
1584 |
+
"step": 1120
|
1585 |
+
},
|
1586 |
+
{
|
1587 |
+
"epoch": 0.848576277578729,
|
1588 |
+
"grad_norm": 2.165957082369384,
|
1589 |
+
"learning_rate": 6.786849132580841e-07,
|
1590 |
+
"loss": 0.4797,
|
1591 |
+
"step": 1125
|
1592 |
+
},
|
1593 |
+
{
|
1594 |
+
"epoch": 0.8523477277013012,
|
1595 |
+
"grad_norm": 2.0518592705151115,
|
1596 |
+
"learning_rate": 6.459162065508067e-07,
|
1597 |
+
"loss": 0.478,
|
1598 |
+
"step": 1130
|
1599 |
+
},
|
1600 |
+
{
|
1601 |
+
"epoch": 0.8561191778238733,
|
1602 |
+
"grad_norm": 2.166898922792351,
|
1603 |
+
"learning_rate": 6.139035972374374e-07,
|
1604 |
+
"loss": 0.4817,
|
1605 |
+
"step": 1135
|
1606 |
+
},
|
1607 |
+
{
|
1608 |
+
"epoch": 0.8598906279464454,
|
1609 |
+
"grad_norm": 2.0882349445622808,
|
1610 |
+
"learning_rate": 5.826526443865732e-07,
|
1611 |
+
"loss": 0.4774,
|
1612 |
+
"step": 1140
|
1613 |
+
},
|
1614 |
+
{
|
1615 |
+
"epoch": 0.8636620780690175,
|
1616 |
+
"grad_norm": 2.0860313130166364,
|
1617 |
+
"learning_rate": 5.521687748032805e-07,
|
1618 |
+
"loss": 0.4808,
|
1619 |
+
"step": 1145
|
1620 |
+
},
|
1621 |
+
{
|
1622 |
+
"epoch": 0.8674335281915897,
|
1623 |
+
"grad_norm": 2.178027486209201,
|
1624 |
+
"learning_rate": 5.224572820867324e-07,
|
1625 |
+
"loss": 0.4818,
|
1626 |
+
"step": 1150
|
1627 |
+
},
|
1628 |
+
{
|
1629 |
+
"epoch": 0.8712049783141618,
|
1630 |
+
"grad_norm": 2.147704424651778,
|
1631 |
+
"learning_rate": 4.935233257109456e-07,
|
1632 |
+
"loss": 0.4768,
|
1633 |
+
"step": 1155
|
1634 |
+
},
|
1635 |
+
{
|
1636 |
+
"epoch": 0.874976428436734,
|
1637 |
+
"grad_norm": 2.070907197952466,
|
1638 |
+
"learning_rate": 4.653719301288362e-07,
|
1639 |
+
"loss": 0.4876,
|
1640 |
+
"step": 1160
|
1641 |
+
},
|
1642 |
+
{
|
1643 |
+
"epoch": 0.878747878559306,
|
1644 |
+
"grad_norm": 2.052204629034235,
|
1645 |
+
"learning_rate": 4.380079838997087e-07,
|
1646 |
+
"loss": 0.4746,
|
1647 |
+
"step": 1165
|
1648 |
+
},
|
1649 |
+
{
|
1650 |
+
"epoch": 0.8825193286818782,
|
1651 |
+
"grad_norm": 2.0244144715714176,
|
1652 |
+
"learning_rate": 4.114362388403409e-07,
|
1653 |
+
"loss": 0.4804,
|
1654 |
+
"step": 1170
|
1655 |
+
},
|
1656 |
+
{
|
1657 |
+
"epoch": 0.8862907788044503,
|
1658 |
+
"grad_norm": 1.997146927651021,
|
1659 |
+
"learning_rate": 3.8566130919982567e-07,
|
1660 |
+
"loss": 0.4711,
|
1661 |
+
"step": 1175
|
1662 |
+
},
|
1663 |
+
{
|
1664 |
+
"epoch": 0.8900622289270225,
|
1665 |
+
"grad_norm": 2.0695766404157574,
|
1666 |
+
"learning_rate": 3.606876708582918e-07,
|
1667 |
+
"loss": 0.4735,
|
1668 |
+
"step": 1180
|
1669 |
+
},
|
1670 |
+
{
|
1671 |
+
"epoch": 0.8938336790495945,
|
1672 |
+
"grad_norm": 2.088709302750632,
|
1673 |
+
"learning_rate": 3.3651966054965734e-07,
|
1674 |
+
"loss": 0.4811,
|
1675 |
+
"step": 1185
|
1676 |
+
},
|
1677 |
+
{
|
1678 |
+
"epoch": 0.8976051291721667,
|
1679 |
+
"grad_norm": 2.101334710434882,
|
1680 |
+
"learning_rate": 3.1316147510854434e-07,
|
1681 |
+
"loss": 0.4696,
|
1682 |
+
"step": 1190
|
1683 |
+
},
|
1684 |
+
{
|
1685 |
+
"epoch": 0.9013765792947388,
|
1686 |
+
"grad_norm": 2.085312151221947,
|
1687 |
+
"learning_rate": 2.9061717074148623e-07,
|
1688 |
+
"loss": 0.4763,
|
1689 |
+
"step": 1195
|
1690 |
+
},
|
1691 |
+
{
|
1692 |
+
"epoch": 0.905148029417311,
|
1693 |
+
"grad_norm": 2.139678602127972,
|
1694 |
+
"learning_rate": 2.688906623225629e-07,
|
1695 |
+
"loss": 0.4777,
|
1696 |
+
"step": 1200
|
1697 |
+
},
|
1698 |
+
{
|
1699 |
+
"epoch": 0.9089194795398831,
|
1700 |
+
"grad_norm": 2.1249347744645086,
|
1701 |
+
"learning_rate": 2.479857227135685e-07,
|
1702 |
+
"loss": 0.4709,
|
1703 |
+
"step": 1205
|
1704 |
+
},
|
1705 |
+
{
|
1706 |
+
"epoch": 0.9126909296624552,
|
1707 |
+
"grad_norm": 2.108323773956457,
|
1708 |
+
"learning_rate": 2.2790598210884695e-07,
|
1709 |
+
"loss": 0.476,
|
1710 |
+
"step": 1210
|
1711 |
+
},
|
1712 |
+
{
|
1713 |
+
"epoch": 0.9164623797850273,
|
1714 |
+
"grad_norm": 2.0522415633167,
|
1715 |
+
"learning_rate": 2.0865492740489822e-07,
|
1716 |
+
"loss": 0.4663,
|
1717 |
+
"step": 1215
|
1718 |
+
},
|
1719 |
+
{
|
1720 |
+
"epoch": 0.9202338299075995,
|
1721 |
+
"grad_norm": 2.015502653559595,
|
1722 |
+
"learning_rate": 1.9023590159487237e-07,
|
1723 |
+
"loss": 0.4678,
|
1724 |
+
"step": 1220
|
1725 |
+
},
|
1726 |
+
{
|
1727 |
+
"epoch": 0.9240052800301716,
|
1728 |
+
"grad_norm": 2.1033783508867647,
|
1729 |
+
"learning_rate": 1.7265210318804683e-07,
|
1730 |
+
"loss": 0.4735,
|
1731 |
+
"step": 1225
|
1732 |
+
},
|
1733 |
+
{
|
1734 |
+
"epoch": 0.9277767301527438,
|
1735 |
+
"grad_norm": 2.0849738071956017,
|
1736 |
+
"learning_rate": 1.5590658565440063e-07,
|
1737 |
+
"loss": 0.4814,
|
1738 |
+
"step": 1230
|
1739 |
+
},
|
1740 |
+
{
|
1741 |
+
"epoch": 0.9315481802753158,
|
1742 |
+
"grad_norm": 2.1194015599967018,
|
1743 |
+
"learning_rate": 1.4000225689437263e-07,
|
1744 |
+
"loss": 0.4767,
|
1745 |
+
"step": 1235
|
1746 |
+
},
|
1747 |
+
{
|
1748 |
+
"epoch": 0.935319630397888,
|
1749 |
+
"grad_norm": 2.155785238683729,
|
1750 |
+
"learning_rate": 1.2494187873389186e-07,
|
1751 |
+
"loss": 0.4702,
|
1752 |
+
"step": 1240
|
1753 |
+
},
|
1754 |
+
{
|
1755 |
+
"epoch": 0.9390910805204601,
|
1756 |
+
"grad_norm": 2.1492733094402428,
|
1757 |
+
"learning_rate": 1.107280664447874e-07,
|
1758 |
+
"loss": 0.4678,
|
1759 |
+
"step": 1245
|
1760 |
+
},
|
1761 |
+
{
|
1762 |
+
"epoch": 0.9428625306430323,
|
1763 |
+
"grad_norm": 2.0766452818387973,
|
1764 |
+
"learning_rate": 9.73632882906328e-08,
|
1765 |
+
"loss": 0.4716,
|
1766 |
+
"step": 1250
|
1767 |
+
},
|
1768 |
+
{
|
1769 |
+
"epoch": 0.9466339807656043,
|
1770 |
+
"grad_norm": 2.0669365458508513,
|
1771 |
+
"learning_rate": 8.484986509813165e-08,
|
1772 |
+
"loss": 0.4651,
|
1773 |
+
"step": 1255
|
1774 |
+
},
|
1775 |
+
{
|
1776 |
+
"epoch": 0.9504054308881765,
|
1777 |
+
"grad_norm": 2.1012750712142587,
|
1778 |
+
"learning_rate": 7.318996985409609e-08,
|
1779 |
+
"loss": 0.4744,
|
1780 |
+
"step": 1260
|
1781 |
+
},
|
1782 |
+
{
|
1783 |
+
"epoch": 0.9541768810107486,
|
1784 |
+
"grad_norm": 2.0562321019527188,
|
1785 |
+
"learning_rate": 6.238562732810427e-08,
|
1786 |
+
"loss": 0.4626,
|
1787 |
+
"step": 1265
|
1788 |
+
},
|
1789 |
+
{
|
1790 |
+
"epoch": 0.9579483311333208,
|
1791 |
+
"grad_norm": 2.2665109481569305,
|
1792 |
+
"learning_rate": 5.243871372089482e-08,
|
1793 |
+
"loss": 0.4756,
|
1794 |
+
"step": 1270
|
1795 |
+
},
|
1796 |
+
{
|
1797 |
+
"epoch": 0.9617197812558929,
|
1798 |
+
"grad_norm": 2.01339402739892,
|
1799 |
+
"learning_rate": 4.335095633855868e-08,
|
1800 |
+
"loss": 0.4701,
|
1801 |
+
"step": 1275
|
1802 |
+
},
|
1803 |
+
{
|
1804 |
+
"epoch": 0.965491231378465,
|
1805 |
+
"grad_norm": 2.0355724329334057,
|
1806 |
+
"learning_rate": 3.512393329258734e-08,
|
1807 |
+
"loss": 0.4681,
|
1808 |
+
"step": 1280
|
1809 |
+
},
|
1810 |
+
{
|
1811 |
+
"epoch": 0.9692626815010371,
|
1812 |
+
"grad_norm": 2.0763696915453793,
|
1813 |
+
"learning_rate": 2.77590732258326e-08,
|
1814 |
+
"loss": 0.4853,
|
1815 |
+
"step": 1285
|
1816 |
+
},
|
1817 |
+
{
|
1818 |
+
"epoch": 0.9730341316236093,
|
1819 |
+
"grad_norm": 2.223079040055733,
|
1820 |
+
"learning_rate": 2.1257655064416684e-08,
|
1821 |
+
"loss": 0.4755,
|
1822 |
+
"step": 1290
|
1823 |
+
},
|
1824 |
+
{
|
1825 |
+
"epoch": 0.9768055817461814,
|
1826 |
+
"grad_norm": 2.0350565583163522,
|
1827 |
+
"learning_rate": 1.56208077956449e-08,
|
1828 |
+
"loss": 0.4644,
|
1829 |
+
"step": 1295
|
1830 |
+
},
|
1831 |
+
{
|
1832 |
+
"epoch": 0.9805770318687536,
|
1833 |
+
"grad_norm": 2.0017384058730805,
|
1834 |
+
"learning_rate": 1.0849510271953578e-08,
|
1835 |
+
"loss": 0.4785,
|
1836 |
+
"step": 1300
|
1837 |
+
},
|
1838 |
+
{
|
1839 |
+
"epoch": 0.9843484819913256,
|
1840 |
+
"grad_norm": 2.0937310226370687,
|
1841 |
+
"learning_rate": 6.944591040930481e-09,
|
1842 |
+
"loss": 0.4697,
|
1843 |
+
"step": 1305
|
1844 |
+
},
|
1845 |
+
{
|
1846 |
+
"epoch": 0.9881199321138978,
|
1847 |
+
"grad_norm": 2.0794638687177938,
|
1848 |
+
"learning_rate": 3.9067282014354504e-09,
|
1849 |
+
"loss": 0.4707,
|
1850 |
+
"step": 1310
|
1851 |
+
},
|
1852 |
+
{
|
1853 |
+
"epoch": 0.9918913822364699,
|
1854 |
+
"grad_norm": 2.0578690852807098,
|
1855 |
+
"learning_rate": 1.7364492858451542e-09,
|
1856 |
+
"loss": 0.468,
|
1857 |
+
"step": 1315
|
1858 |
+
},
|
1859 |
+
{
|
1860 |
+
"epoch": 0.9956628323590421,
|
1861 |
+
"grad_norm": 2.1418033123461093,
|
1862 |
+
"learning_rate": 4.341311684485927e-10,
|
1863 |
+
"loss": 0.4788,
|
1864 |
+
"step": 1320
|
1865 |
+
},
|
1866 |
+
{
|
1867 |
+
"epoch": 0.9994342824816141,
|
1868 |
+
"grad_norm": 2.041628364481552,
|
1869 |
+
"learning_rate": 0.0,
|
1870 |
+
"loss": 0.4741,
|
1871 |
+
"step": 1325
|
1872 |
+
},
|
1873 |
+
{
|
1874 |
+
"epoch": 0.9994342824816141,
|
1875 |
+
"eval_loss": 0.47078943252563477,
|
1876 |
+
"eval_runtime": 251.4407,
|
1877 |
+
"eval_samples_per_second": 3.094,
|
1878 |
+
"eval_steps_per_second": 0.776,
|
1879 |
+
"step": 1325
|
1880 |
+
},
|
1881 |
+
{
|
1882 |
+
"epoch": 0.9994342824816141,
|
1883 |
+
"step": 1325,
|
1884 |
+
"total_flos": 277375698862080.0,
|
1885 |
+
"train_loss": 0.6321603435840247,
|
1886 |
+
"train_runtime": 30135.1647,
|
1887 |
+
"train_samples_per_second": 1.408,
|
1888 |
+
"train_steps_per_second": 0.044
|
1889 |
+
}
|
1890 |
+
],
|
1891 |
+
"logging_steps": 5,
|
1892 |
+
"max_steps": 1325,
|
1893 |
+
"num_input_tokens_seen": 0,
|
1894 |
+
"num_train_epochs": 1,
|
1895 |
+
"save_steps": 100,
|
1896 |
+
"stateful_callbacks": {
|
1897 |
+
"TrainerControl": {
|
1898 |
+
"args": {
|
1899 |
+
"should_epoch_stop": false,
|
1900 |
+
"should_evaluate": false,
|
1901 |
+
"should_log": false,
|
1902 |
+
"should_save": true,
|
1903 |
+
"should_training_stop": true
|
1904 |
+
},
|
1905 |
+
"attributes": {}
|
1906 |
+
}
|
1907 |
+
},
|
1908 |
+
"total_flos": 277375698862080.0,
|
1909 |
+
"train_batch_size": 2,
|
1910 |
+
"trial_name": null,
|
1911 |
+
"trial_params": null
|
1912 |
+
}
|