elichen3051
commited on
Commit
•
77fc07b
1
Parent(s):
20a11fd
Model save
Browse files- README.md +57 -0
- all_results.json +9 -0
- generation_config.json +9 -0
- runs/Nov04_20-39-14_f9834025b1f4/events.out.tfevents.1730753503.f9834025b1f4.3326.0 +2 -2
- train_results.json +9 -0
- trainer_state.json +2745 -0
README.md
ADDED
@@ -0,0 +1,57 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
---
|
2 |
+
base_model: meta-llama/Llama-3.2-3B
|
3 |
+
library_name: transformers
|
4 |
+
model_name: llama3.2-3B-cpt-1B-tokens
|
5 |
+
tags:
|
6 |
+
- generated_from_trainer
|
7 |
+
- trl
|
8 |
+
- sft
|
9 |
+
licence: license
|
10 |
+
---
|
11 |
+
|
12 |
+
# Model Card for llama3.2-3B-cpt-1B-tokens
|
13 |
+
|
14 |
+
This model is a fine-tuned version of [meta-llama/Llama-3.2-3B](https://huggingface.co/meta-llama/Llama-3.2-3B).
|
15 |
+
It has been trained using [TRL](https://github.com/huggingface/trl).
|
16 |
+
|
17 |
+
## Quick start
|
18 |
+
|
19 |
+
```python
|
20 |
+
from transformers import pipeline
|
21 |
+
|
22 |
+
question = "If you had a time machine, but could only go to the past or the future once and never return, which would you choose and why?"
|
23 |
+
generator = pipeline("text-generation", model="skymizer/llama3.2-3B-cpt-1B-tokens", device="cuda")
|
24 |
+
output = generator([{"role": "user", "content": question}], max_new_tokens=128, return_full_text=False)[0]
|
25 |
+
print(output["generated_text"])
|
26 |
+
```
|
27 |
+
|
28 |
+
## Training procedure
|
29 |
+
|
30 |
+
[<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="150" height="24"/>](https://wandb.ai/eli3051/huggingface/runs/9pax5l0q)
|
31 |
+
|
32 |
+
This model was trained with SFT.
|
33 |
+
|
34 |
+
### Framework versions
|
35 |
+
|
36 |
+
- TRL: 0.12.0
|
37 |
+
- Transformers: 4.46.1
|
38 |
+
- Pytorch: 2.4.0
|
39 |
+
- Datasets: 3.1.0
|
40 |
+
- Tokenizers: 0.20.2
|
41 |
+
|
42 |
+
## Citations
|
43 |
+
|
44 |
+
|
45 |
+
|
46 |
+
Cite TRL as:
|
47 |
+
|
48 |
+
```bibtex
|
49 |
+
@misc{vonwerra2022trl,
|
50 |
+
title = {{TRL: Transformer Reinforcement Learning}},
|
51 |
+
author = {Leandro von Werra and Younes Belkada and Lewis Tunstall and Edward Beeching and Tristan Thrush and Nathan Lambert and Shengyi Huang and Kashif Rasul and Quentin Gallouédec},
|
52 |
+
year = 2020,
|
53 |
+
journal = {GitHub repository},
|
54 |
+
publisher = {GitHub},
|
55 |
+
howpublished = {\url{https://github.com/huggingface/trl}}
|
56 |
+
}
|
57 |
+
```
|
all_results.json
ADDED
@@ -0,0 +1,9 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"epoch": 0.999739921976593,
|
3 |
+
"total_flos": 1058556698689536.0,
|
4 |
+
"train_loss": 2.26795463333765,
|
5 |
+
"train_runtime": 9902.9795,
|
6 |
+
"train_samples": 1250000,
|
7 |
+
"train_samples_per_second": 49.694,
|
8 |
+
"train_steps_per_second": 0.194
|
9 |
+
}
|
generation_config.json
ADDED
@@ -0,0 +1,9 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"_from_model_config": true,
|
3 |
+
"bos_token_id": 128000,
|
4 |
+
"do_sample": true,
|
5 |
+
"eos_token_id": 128001,
|
6 |
+
"temperature": 0.6,
|
7 |
+
"top_p": 0.9,
|
8 |
+
"transformers_version": "4.46.1"
|
9 |
+
}
|
runs/Nov04_20-39-14_f9834025b1f4/events.out.tfevents.1730753503.f9834025b1f4.3326.0
CHANGED
@@ -1,3 +1,3 @@
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
-
oid sha256:
|
3 |
-
size
|
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:29b7f9543e268960febd8687f86cb3da4208e6005fc691181b685baf674e4c6a
|
3 |
+
size 87710
|
train_results.json
ADDED
@@ -0,0 +1,9 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"epoch": 0.999739921976593,
|
3 |
+
"total_flos": 1058556698689536.0,
|
4 |
+
"train_loss": 2.26795463333765,
|
5 |
+
"train_runtime": 9902.9795,
|
6 |
+
"train_samples": 1250000,
|
7 |
+
"train_samples_per_second": 49.694,
|
8 |
+
"train_steps_per_second": 0.194
|
9 |
+
}
|
trainer_state.json
ADDED
@@ -0,0 +1,2745 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"best_metric": null,
|
3 |
+
"best_model_checkpoint": null,
|
4 |
+
"epoch": 0.999739921976593,
|
5 |
+
"eval_steps": 500,
|
6 |
+
"global_step": 1922,
|
7 |
+
"is_hyper_param_search": false,
|
8 |
+
"is_local_process_zero": true,
|
9 |
+
"is_world_process_zero": true,
|
10 |
+
"log_history": [
|
11 |
+
{
|
12 |
+
"epoch": 0.0005201560468140442,
|
13 |
+
"grad_norm": 0.8345186041103929,
|
14 |
+
"learning_rate": 1.0362694300518136e-07,
|
15 |
+
"loss": 2.3004,
|
16 |
+
"step": 1
|
17 |
+
},
|
18 |
+
{
|
19 |
+
"epoch": 0.002600780234070221,
|
20 |
+
"grad_norm": 0.7480244688392631,
|
21 |
+
"learning_rate": 5.181347150259067e-07,
|
22 |
+
"loss": 2.3277,
|
23 |
+
"step": 5
|
24 |
+
},
|
25 |
+
{
|
26 |
+
"epoch": 0.005201560468140442,
|
27 |
+
"grad_norm": 0.785533525256438,
|
28 |
+
"learning_rate": 1.0362694300518134e-06,
|
29 |
+
"loss": 2.2876,
|
30 |
+
"step": 10
|
31 |
+
},
|
32 |
+
{
|
33 |
+
"epoch": 0.007802340702210663,
|
34 |
+
"grad_norm": 1.9886611293748466,
|
35 |
+
"learning_rate": 1.5544041450777204e-06,
|
36 |
+
"loss": 2.2908,
|
37 |
+
"step": 15
|
38 |
+
},
|
39 |
+
{
|
40 |
+
"epoch": 0.010403120936280884,
|
41 |
+
"grad_norm": 0.5867201261604411,
|
42 |
+
"learning_rate": 2.072538860103627e-06,
|
43 |
+
"loss": 2.3241,
|
44 |
+
"step": 20
|
45 |
+
},
|
46 |
+
{
|
47 |
+
"epoch": 0.013003901170351105,
|
48 |
+
"grad_norm": 0.4918894228225657,
|
49 |
+
"learning_rate": 2.5906735751295338e-06,
|
50 |
+
"loss": 2.2845,
|
51 |
+
"step": 25
|
52 |
+
},
|
53 |
+
{
|
54 |
+
"epoch": 0.015604681404421327,
|
55 |
+
"grad_norm": 0.5030371996482103,
|
56 |
+
"learning_rate": 3.1088082901554407e-06,
|
57 |
+
"loss": 2.2913,
|
58 |
+
"step": 30
|
59 |
+
},
|
60 |
+
{
|
61 |
+
"epoch": 0.018205461638491547,
|
62 |
+
"grad_norm": 0.4576003124686891,
|
63 |
+
"learning_rate": 3.6269430051813476e-06,
|
64 |
+
"loss": 2.2546,
|
65 |
+
"step": 35
|
66 |
+
},
|
67 |
+
{
|
68 |
+
"epoch": 0.02080624187256177,
|
69 |
+
"grad_norm": 0.4539314680873136,
|
70 |
+
"learning_rate": 4.145077720207254e-06,
|
71 |
+
"loss": 2.2961,
|
72 |
+
"step": 40
|
73 |
+
},
|
74 |
+
{
|
75 |
+
"epoch": 0.02340702210663199,
|
76 |
+
"grad_norm": 0.4401657938174189,
|
77 |
+
"learning_rate": 4.663212435233161e-06,
|
78 |
+
"loss": 2.2901,
|
79 |
+
"step": 45
|
80 |
+
},
|
81 |
+
{
|
82 |
+
"epoch": 0.02600780234070221,
|
83 |
+
"grad_norm": 0.43168803583003423,
|
84 |
+
"learning_rate": 5.1813471502590676e-06,
|
85 |
+
"loss": 2.2724,
|
86 |
+
"step": 50
|
87 |
+
},
|
88 |
+
{
|
89 |
+
"epoch": 0.02860858257477243,
|
90 |
+
"grad_norm": 0.464515894991219,
|
91 |
+
"learning_rate": 5.699481865284975e-06,
|
92 |
+
"loss": 2.2706,
|
93 |
+
"step": 55
|
94 |
+
},
|
95 |
+
{
|
96 |
+
"epoch": 0.031209362808842653,
|
97 |
+
"grad_norm": 0.41118157204418754,
|
98 |
+
"learning_rate": 6.217616580310881e-06,
|
99 |
+
"loss": 2.2826,
|
100 |
+
"step": 60
|
101 |
+
},
|
102 |
+
{
|
103 |
+
"epoch": 0.033810143042912875,
|
104 |
+
"grad_norm": 0.41838223457309465,
|
105 |
+
"learning_rate": 6.735751295336788e-06,
|
106 |
+
"loss": 2.2842,
|
107 |
+
"step": 65
|
108 |
+
},
|
109 |
+
{
|
110 |
+
"epoch": 0.036410923276983094,
|
111 |
+
"grad_norm": 0.4116710918403529,
|
112 |
+
"learning_rate": 7.253886010362695e-06,
|
113 |
+
"loss": 2.2675,
|
114 |
+
"step": 70
|
115 |
+
},
|
116 |
+
{
|
117 |
+
"epoch": 0.03901170351105332,
|
118 |
+
"grad_norm": 0.4294733222487177,
|
119 |
+
"learning_rate": 7.772020725388602e-06,
|
120 |
+
"loss": 2.2703,
|
121 |
+
"step": 75
|
122 |
+
},
|
123 |
+
{
|
124 |
+
"epoch": 0.04161248374512354,
|
125 |
+
"grad_norm": 0.4118250916081217,
|
126 |
+
"learning_rate": 8.290155440414507e-06,
|
127 |
+
"loss": 2.2764,
|
128 |
+
"step": 80
|
129 |
+
},
|
130 |
+
{
|
131 |
+
"epoch": 0.044213263979193757,
|
132 |
+
"grad_norm": 0.41023756575889064,
|
133 |
+
"learning_rate": 8.808290155440415e-06,
|
134 |
+
"loss": 2.2902,
|
135 |
+
"step": 85
|
136 |
+
},
|
137 |
+
{
|
138 |
+
"epoch": 0.04681404421326398,
|
139 |
+
"grad_norm": 0.43880292962496026,
|
140 |
+
"learning_rate": 9.326424870466322e-06,
|
141 |
+
"loss": 2.2912,
|
142 |
+
"step": 90
|
143 |
+
},
|
144 |
+
{
|
145 |
+
"epoch": 0.0494148244473342,
|
146 |
+
"grad_norm": 0.45031096977273377,
|
147 |
+
"learning_rate": 9.844559585492228e-06,
|
148 |
+
"loss": 2.2981,
|
149 |
+
"step": 95
|
150 |
+
},
|
151 |
+
{
|
152 |
+
"epoch": 0.05201560468140442,
|
153 |
+
"grad_norm": 0.4248849523300326,
|
154 |
+
"learning_rate": 1.0362694300518135e-05,
|
155 |
+
"loss": 2.2975,
|
156 |
+
"step": 100
|
157 |
+
},
|
158 |
+
{
|
159 |
+
"epoch": 0.054616384915474644,
|
160 |
+
"grad_norm": 0.41266838355458524,
|
161 |
+
"learning_rate": 1.0880829015544042e-05,
|
162 |
+
"loss": 2.2736,
|
163 |
+
"step": 105
|
164 |
+
},
|
165 |
+
{
|
166 |
+
"epoch": 0.05721716514954486,
|
167 |
+
"grad_norm": 0.4094053779887782,
|
168 |
+
"learning_rate": 1.139896373056995e-05,
|
169 |
+
"loss": 2.255,
|
170 |
+
"step": 110
|
171 |
+
},
|
172 |
+
{
|
173 |
+
"epoch": 0.05981794538361508,
|
174 |
+
"grad_norm": 0.4136951723970802,
|
175 |
+
"learning_rate": 1.1917098445595855e-05,
|
176 |
+
"loss": 2.2758,
|
177 |
+
"step": 115
|
178 |
+
},
|
179 |
+
{
|
180 |
+
"epoch": 0.06241872561768531,
|
181 |
+
"grad_norm": 0.43700184963849786,
|
182 |
+
"learning_rate": 1.2435233160621763e-05,
|
183 |
+
"loss": 2.3071,
|
184 |
+
"step": 120
|
185 |
+
},
|
186 |
+
{
|
187 |
+
"epoch": 0.06501950585175553,
|
188 |
+
"grad_norm": 0.411543204357628,
|
189 |
+
"learning_rate": 1.2953367875647668e-05,
|
190 |
+
"loss": 2.2826,
|
191 |
+
"step": 125
|
192 |
+
},
|
193 |
+
{
|
194 |
+
"epoch": 0.06762028608582575,
|
195 |
+
"grad_norm": 0.429531396061487,
|
196 |
+
"learning_rate": 1.3471502590673576e-05,
|
197 |
+
"loss": 2.2612,
|
198 |
+
"step": 130
|
199 |
+
},
|
200 |
+
{
|
201 |
+
"epoch": 0.07022106631989597,
|
202 |
+
"grad_norm": 0.4137946537504368,
|
203 |
+
"learning_rate": 1.3989637305699483e-05,
|
204 |
+
"loss": 2.2724,
|
205 |
+
"step": 135
|
206 |
+
},
|
207 |
+
{
|
208 |
+
"epoch": 0.07282184655396619,
|
209 |
+
"grad_norm": 0.4108339707707568,
|
210 |
+
"learning_rate": 1.450777202072539e-05,
|
211 |
+
"loss": 2.2743,
|
212 |
+
"step": 140
|
213 |
+
},
|
214 |
+
{
|
215 |
+
"epoch": 0.0754226267880364,
|
216 |
+
"grad_norm": 0.4212937350493228,
|
217 |
+
"learning_rate": 1.5025906735751296e-05,
|
218 |
+
"loss": 2.2688,
|
219 |
+
"step": 145
|
220 |
+
},
|
221 |
+
{
|
222 |
+
"epoch": 0.07802340702210664,
|
223 |
+
"grad_norm": 0.42079895435460035,
|
224 |
+
"learning_rate": 1.5544041450777204e-05,
|
225 |
+
"loss": 2.2881,
|
226 |
+
"step": 150
|
227 |
+
},
|
228 |
+
{
|
229 |
+
"epoch": 0.08062418725617686,
|
230 |
+
"grad_norm": 0.4355924970314073,
|
231 |
+
"learning_rate": 1.606217616580311e-05,
|
232 |
+
"loss": 2.2937,
|
233 |
+
"step": 155
|
234 |
+
},
|
235 |
+
{
|
236 |
+
"epoch": 0.08322496749024708,
|
237 |
+
"grad_norm": 0.41567781768472056,
|
238 |
+
"learning_rate": 1.6580310880829015e-05,
|
239 |
+
"loss": 2.2827,
|
240 |
+
"step": 160
|
241 |
+
},
|
242 |
+
{
|
243 |
+
"epoch": 0.0858257477243173,
|
244 |
+
"grad_norm": 0.4212845025959482,
|
245 |
+
"learning_rate": 1.7098445595854924e-05,
|
246 |
+
"loss": 2.2754,
|
247 |
+
"step": 165
|
248 |
+
},
|
249 |
+
{
|
250 |
+
"epoch": 0.08842652795838751,
|
251 |
+
"grad_norm": 0.428136588267208,
|
252 |
+
"learning_rate": 1.761658031088083e-05,
|
253 |
+
"loss": 2.2915,
|
254 |
+
"step": 170
|
255 |
+
},
|
256 |
+
{
|
257 |
+
"epoch": 0.09102730819245773,
|
258 |
+
"grad_norm": 0.4336880983720985,
|
259 |
+
"learning_rate": 1.813471502590674e-05,
|
260 |
+
"loss": 2.2406,
|
261 |
+
"step": 175
|
262 |
+
},
|
263 |
+
{
|
264 |
+
"epoch": 0.09362808842652796,
|
265 |
+
"grad_norm": 0.4279056529435773,
|
266 |
+
"learning_rate": 1.8652849740932644e-05,
|
267 |
+
"loss": 2.2566,
|
268 |
+
"step": 180
|
269 |
+
},
|
270 |
+
{
|
271 |
+
"epoch": 0.09622886866059818,
|
272 |
+
"grad_norm": 0.43624158893620124,
|
273 |
+
"learning_rate": 1.917098445595855e-05,
|
274 |
+
"loss": 2.2678,
|
275 |
+
"step": 185
|
276 |
+
},
|
277 |
+
{
|
278 |
+
"epoch": 0.0988296488946684,
|
279 |
+
"grad_norm": 0.4386962113064878,
|
280 |
+
"learning_rate": 1.9689119170984456e-05,
|
281 |
+
"loss": 2.3003,
|
282 |
+
"step": 190
|
283 |
+
},
|
284 |
+
{
|
285 |
+
"epoch": 0.10143042912873862,
|
286 |
+
"grad_norm": 0.4399748777484219,
|
287 |
+
"learning_rate": 1.999993397030723e-05,
|
288 |
+
"loss": 2.2561,
|
289 |
+
"step": 195
|
290 |
+
},
|
291 |
+
{
|
292 |
+
"epoch": 0.10403120936280884,
|
293 |
+
"grad_norm": 0.4459322004676816,
|
294 |
+
"learning_rate": 1.999919114627769e-05,
|
295 |
+
"loss": 2.2792,
|
296 |
+
"step": 200
|
297 |
+
},
|
298 |
+
{
|
299 |
+
"epoch": 0.10663198959687907,
|
300 |
+
"grad_norm": 0.4787906575891283,
|
301 |
+
"learning_rate": 1.9997623022617216e-05,
|
302 |
+
"loss": 2.2781,
|
303 |
+
"step": 205
|
304 |
+
},
|
305 |
+
{
|
306 |
+
"epoch": 0.10923276983094929,
|
307 |
+
"grad_norm": 0.5593634080047786,
|
308 |
+
"learning_rate": 1.9995229728753464e-05,
|
309 |
+
"loss": 2.2821,
|
310 |
+
"step": 210
|
311 |
+
},
|
312 |
+
{
|
313 |
+
"epoch": 0.11183355006501951,
|
314 |
+
"grad_norm": 0.4556491907298568,
|
315 |
+
"learning_rate": 1.9992011462220863e-05,
|
316 |
+
"loss": 2.287,
|
317 |
+
"step": 215
|
318 |
+
},
|
319 |
+
{
|
320 |
+
"epoch": 0.11443433029908973,
|
321 |
+
"grad_norm": 0.43460978291949764,
|
322 |
+
"learning_rate": 1.9987968488644317e-05,
|
323 |
+
"loss": 2.2563,
|
324 |
+
"step": 220
|
325 |
+
},
|
326 |
+
{
|
327 |
+
"epoch": 0.11703511053315994,
|
328 |
+
"grad_norm": 0.4335991371643843,
|
329 |
+
"learning_rate": 1.9983101141717284e-05,
|
330 |
+
"loss": 2.257,
|
331 |
+
"step": 225
|
332 |
+
},
|
333 |
+
{
|
334 |
+
"epoch": 0.11963589076723016,
|
335 |
+
"grad_norm": 0.4224092667055087,
|
336 |
+
"learning_rate": 1.9977409823174212e-05,
|
337 |
+
"loss": 2.294,
|
338 |
+
"step": 230
|
339 |
+
},
|
340 |
+
{
|
341 |
+
"epoch": 0.1222366710013004,
|
342 |
+
"grad_norm": 0.4485005361456074,
|
343 |
+
"learning_rate": 1.9970895002757413e-05,
|
344 |
+
"loss": 2.2612,
|
345 |
+
"step": 235
|
346 |
+
},
|
347 |
+
{
|
348 |
+
"epoch": 0.12483745123537061,
|
349 |
+
"grad_norm": 0.4370710376897024,
|
350 |
+
"learning_rate": 1.996355721817826e-05,
|
351 |
+
"loss": 2.274,
|
352 |
+
"step": 240
|
353 |
+
},
|
354 |
+
{
|
355 |
+
"epoch": 0.12743823146944083,
|
356 |
+
"grad_norm": 0.44855062619100494,
|
357 |
+
"learning_rate": 1.995539707507284e-05,
|
358 |
+
"loss": 2.276,
|
359 |
+
"step": 245
|
360 |
+
},
|
361 |
+
{
|
362 |
+
"epoch": 0.13003901170351106,
|
363 |
+
"grad_norm": 1.2608831364594368,
|
364 |
+
"learning_rate": 1.9946415246951928e-05,
|
365 |
+
"loss": 2.2903,
|
366 |
+
"step": 250
|
367 |
+
},
|
368 |
+
{
|
369 |
+
"epoch": 0.13263979193758127,
|
370 |
+
"grad_norm": 0.4458820122839497,
|
371 |
+
"learning_rate": 1.993661247514544e-05,
|
372 |
+
"loss": 2.2815,
|
373 |
+
"step": 255
|
374 |
+
},
|
375 |
+
{
|
376 |
+
"epoch": 0.1352405721716515,
|
377 |
+
"grad_norm": 0.42495144352793196,
|
378 |
+
"learning_rate": 1.992598956874121e-05,
|
379 |
+
"loss": 2.2958,
|
380 |
+
"step": 260
|
381 |
+
},
|
382 |
+
{
|
383 |
+
"epoch": 0.1378413524057217,
|
384 |
+
"grad_norm": 0.41620906246364725,
|
385 |
+
"learning_rate": 1.9914547404518235e-05,
|
386 |
+
"loss": 2.2586,
|
387 |
+
"step": 265
|
388 |
+
},
|
389 |
+
{
|
390 |
+
"epoch": 0.14044213263979194,
|
391 |
+
"grad_norm": 0.43094630659032057,
|
392 |
+
"learning_rate": 1.990228692687429e-05,
|
393 |
+
"loss": 2.3091,
|
394 |
+
"step": 270
|
395 |
+
},
|
396 |
+
{
|
397 |
+
"epoch": 0.14304291287386217,
|
398 |
+
"grad_norm": 0.42273846563736506,
|
399 |
+
"learning_rate": 1.988920914774799e-05,
|
400 |
+
"loss": 2.2842,
|
401 |
+
"step": 275
|
402 |
+
},
|
403 |
+
{
|
404 |
+
"epoch": 0.14564369310793238,
|
405 |
+
"grad_norm": 0.4257951665830633,
|
406 |
+
"learning_rate": 1.987531514653528e-05,
|
407 |
+
"loss": 2.2724,
|
408 |
+
"step": 280
|
409 |
+
},
|
410 |
+
{
|
411 |
+
"epoch": 0.1482444733420026,
|
412 |
+
"grad_norm": 0.44805118487610107,
|
413 |
+
"learning_rate": 1.9860606070000318e-05,
|
414 |
+
"loss": 2.2645,
|
415 |
+
"step": 285
|
416 |
+
},
|
417 |
+
{
|
418 |
+
"epoch": 0.1508452535760728,
|
419 |
+
"grad_norm": 0.41304563534445005,
|
420 |
+
"learning_rate": 1.9845083132180844e-05,
|
421 |
+
"loss": 2.2827,
|
422 |
+
"step": 290
|
423 |
+
},
|
424 |
+
{
|
425 |
+
"epoch": 0.15344603381014305,
|
426 |
+
"grad_norm": 0.4317171768002588,
|
427 |
+
"learning_rate": 1.982874761428798e-05,
|
428 |
+
"loss": 2.2638,
|
429 |
+
"step": 295
|
430 |
+
},
|
431 |
+
{
|
432 |
+
"epoch": 0.15604681404421328,
|
433 |
+
"grad_norm": 0.43837156488809603,
|
434 |
+
"learning_rate": 1.9811600864600463e-05,
|
435 |
+
"loss": 2.2958,
|
436 |
+
"step": 300
|
437 |
+
},
|
438 |
+
{
|
439 |
+
"epoch": 0.15864759427828348,
|
440 |
+
"grad_norm": 0.42186569358732456,
|
441 |
+
"learning_rate": 1.979364429835339e-05,
|
442 |
+
"loss": 2.2913,
|
443 |
+
"step": 305
|
444 |
+
},
|
445 |
+
{
|
446 |
+
"epoch": 0.16124837451235371,
|
447 |
+
"grad_norm": 0.40765691963435197,
|
448 |
+
"learning_rate": 1.9774879397621387e-05,
|
449 |
+
"loss": 2.2568,
|
450 |
+
"step": 310
|
451 |
+
},
|
452 |
+
{
|
453 |
+
"epoch": 0.16384915474642392,
|
454 |
+
"grad_norm": 0.42957228218399773,
|
455 |
+
"learning_rate": 1.9755307711196296e-05,
|
456 |
+
"loss": 2.2671,
|
457 |
+
"step": 315
|
458 |
+
},
|
459 |
+
{
|
460 |
+
"epoch": 0.16644993498049415,
|
461 |
+
"grad_norm": 0.5983846623121506,
|
462 |
+
"learning_rate": 1.973493085445933e-05,
|
463 |
+
"loss": 2.2708,
|
464 |
+
"step": 320
|
465 |
+
},
|
466 |
+
{
|
467 |
+
"epoch": 0.16905071521456436,
|
468 |
+
"grad_norm": 0.46755984948188173,
|
469 |
+
"learning_rate": 1.9713750509247766e-05,
|
470 |
+
"loss": 2.2565,
|
471 |
+
"step": 325
|
472 |
+
},
|
473 |
+
{
|
474 |
+
"epoch": 0.1716514954486346,
|
475 |
+
"grad_norm": 0.5074022712445009,
|
476 |
+
"learning_rate": 1.969176842371611e-05,
|
477 |
+
"loss": 2.2852,
|
478 |
+
"step": 330
|
479 |
+
},
|
480 |
+
{
|
481 |
+
"epoch": 0.17425227568270482,
|
482 |
+
"grad_norm": 0.4177276291117073,
|
483 |
+
"learning_rate": 1.9668986412191822e-05,
|
484 |
+
"loss": 2.2674,
|
485 |
+
"step": 335
|
486 |
+
},
|
487 |
+
{
|
488 |
+
"epoch": 0.17685305591677503,
|
489 |
+
"grad_norm": 0.4451543573816552,
|
490 |
+
"learning_rate": 1.9645406355025565e-05,
|
491 |
+
"loss": 2.2863,
|
492 |
+
"step": 340
|
493 |
+
},
|
494 |
+
{
|
495 |
+
"epoch": 0.17945383615084526,
|
496 |
+
"grad_norm": 0.4549495732621677,
|
497 |
+
"learning_rate": 1.9621030198436007e-05,
|
498 |
+
"loss": 2.2818,
|
499 |
+
"step": 345
|
500 |
+
},
|
501 |
+
{
|
502 |
+
"epoch": 0.18205461638491546,
|
503 |
+
"grad_norm": 0.43066970227078843,
|
504 |
+
"learning_rate": 1.9595859954349187e-05,
|
505 |
+
"loss": 2.2715,
|
506 |
+
"step": 350
|
507 |
+
},
|
508 |
+
{
|
509 |
+
"epoch": 0.1846553966189857,
|
510 |
+
"grad_norm": 0.45210248976895245,
|
511 |
+
"learning_rate": 1.956989770023246e-05,
|
512 |
+
"loss": 2.2835,
|
513 |
+
"step": 355
|
514 |
+
},
|
515 |
+
{
|
516 |
+
"epoch": 0.18725617685305593,
|
517 |
+
"grad_norm": 0.43430647379108794,
|
518 |
+
"learning_rate": 1.954314557892302e-05,
|
519 |
+
"loss": 2.2724,
|
520 |
+
"step": 360
|
521 |
+
},
|
522 |
+
{
|
523 |
+
"epoch": 0.18985695708712613,
|
524 |
+
"grad_norm": 0.4138706040482473,
|
525 |
+
"learning_rate": 1.9515605798451054e-05,
|
526 |
+
"loss": 2.2542,
|
527 |
+
"step": 365
|
528 |
+
},
|
529 |
+
{
|
530 |
+
"epoch": 0.19245773732119636,
|
531 |
+
"grad_norm": 0.41813079660766717,
|
532 |
+
"learning_rate": 1.948728063185748e-05,
|
533 |
+
"loss": 2.2692,
|
534 |
+
"step": 370
|
535 |
+
},
|
536 |
+
{
|
537 |
+
"epoch": 0.19505851755526657,
|
538 |
+
"grad_norm": 0.41092129187872495,
|
539 |
+
"learning_rate": 1.9458172417006347e-05,
|
540 |
+
"loss": 2.3078,
|
541 |
+
"step": 375
|
542 |
+
},
|
543 |
+
{
|
544 |
+
"epoch": 0.1976592977893368,
|
545 |
+
"grad_norm": 0.4287277843333683,
|
546 |
+
"learning_rate": 1.942828355639189e-05,
|
547 |
+
"loss": 2.2639,
|
548 |
+
"step": 380
|
549 |
+
},
|
550 |
+
{
|
551 |
+
"epoch": 0.20026007802340703,
|
552 |
+
"grad_norm": 0.5319302745918535,
|
553 |
+
"learning_rate": 1.9397616516940195e-05,
|
554 |
+
"loss": 2.2949,
|
555 |
+
"step": 385
|
556 |
+
},
|
557 |
+
{
|
558 |
+
"epoch": 0.20286085825747724,
|
559 |
+
"grad_norm": 0.4258251973151665,
|
560 |
+
"learning_rate": 1.936617382980565e-05,
|
561 |
+
"loss": 2.2972,
|
562 |
+
"step": 390
|
563 |
+
},
|
564 |
+
{
|
565 |
+
"epoch": 0.20546163849154747,
|
566 |
+
"grad_norm": 0.437526049230875,
|
567 |
+
"learning_rate": 1.9333958090161955e-05,
|
568 |
+
"loss": 2.2405,
|
569 |
+
"step": 395
|
570 |
+
},
|
571 |
+
{
|
572 |
+
"epoch": 0.20806241872561768,
|
573 |
+
"grad_norm": 0.4363771353732369,
|
574 |
+
"learning_rate": 1.9300971956987996e-05,
|
575 |
+
"loss": 2.3013,
|
576 |
+
"step": 400
|
577 |
+
},
|
578 |
+
{
|
579 |
+
"epoch": 0.2106631989596879,
|
580 |
+
"grad_norm": 0.43404759577988555,
|
581 |
+
"learning_rate": 1.9267218152848342e-05,
|
582 |
+
"loss": 2.2843,
|
583 |
+
"step": 405
|
584 |
+
},
|
585 |
+
{
|
586 |
+
"epoch": 0.21326397919375814,
|
587 |
+
"grad_norm": 0.42684871097670124,
|
588 |
+
"learning_rate": 1.9232699463668543e-05,
|
589 |
+
"loss": 2.265,
|
590 |
+
"step": 410
|
591 |
+
},
|
592 |
+
{
|
593 |
+
"epoch": 0.21586475942782835,
|
594 |
+
"grad_norm": 0.40630432938608335,
|
595 |
+
"learning_rate": 1.919741873850519e-05,
|
596 |
+
"loss": 2.2495,
|
597 |
+
"step": 415
|
598 |
+
},
|
599 |
+
{
|
600 |
+
"epoch": 0.21846553966189858,
|
601 |
+
"grad_norm": 0.4092728915412203,
|
602 |
+
"learning_rate": 1.9161378889310763e-05,
|
603 |
+
"loss": 2.2837,
|
604 |
+
"step": 420
|
605 |
+
},
|
606 |
+
{
|
607 |
+
"epoch": 0.22106631989596878,
|
608 |
+
"grad_norm": 0.4269612586962797,
|
609 |
+
"learning_rate": 1.9124582890693285e-05,
|
610 |
+
"loss": 2.3053,
|
611 |
+
"step": 425
|
612 |
+
},
|
613 |
+
{
|
614 |
+
"epoch": 0.22366710013003901,
|
615 |
+
"grad_norm": 0.42780196750395155,
|
616 |
+
"learning_rate": 1.908703377967082e-05,
|
617 |
+
"loss": 2.2844,
|
618 |
+
"step": 430
|
619 |
+
},
|
620 |
+
{
|
621 |
+
"epoch": 0.22626788036410922,
|
622 |
+
"grad_norm": 0.43404267438118455,
|
623 |
+
"learning_rate": 1.9048734655420792e-05,
|
624 |
+
"loss": 2.2557,
|
625 |
+
"step": 435
|
626 |
+
},
|
627 |
+
{
|
628 |
+
"epoch": 0.22886866059817945,
|
629 |
+
"grad_norm": 0.41555747970189066,
|
630 |
+
"learning_rate": 1.900968867902419e-05,
|
631 |
+
"loss": 2.2557,
|
632 |
+
"step": 440
|
633 |
+
},
|
634 |
+
{
|
635 |
+
"epoch": 0.23146944083224968,
|
636 |
+
"grad_norm": 0.451526901745645,
|
637 |
+
"learning_rate": 1.8969899073204687e-05,
|
638 |
+
"loss": 2.2511,
|
639 |
+
"step": 445
|
640 |
+
},
|
641 |
+
{
|
642 |
+
"epoch": 0.2340702210663199,
|
643 |
+
"grad_norm": 0.455010350294312,
|
644 |
+
"learning_rate": 1.8929369122062612e-05,
|
645 |
+
"loss": 2.2784,
|
646 |
+
"step": 450
|
647 |
+
},
|
648 |
+
{
|
649 |
+
"epoch": 0.23667100130039012,
|
650 |
+
"grad_norm": 0.42013024506881264,
|
651 |
+
"learning_rate": 1.8888102170803914e-05,
|
652 |
+
"loss": 2.2873,
|
653 |
+
"step": 455
|
654 |
+
},
|
655 |
+
{
|
656 |
+
"epoch": 0.23927178153446033,
|
657 |
+
"grad_norm": 0.43230673552727256,
|
658 |
+
"learning_rate": 1.8846101625464058e-05,
|
659 |
+
"loss": 2.2414,
|
660 |
+
"step": 460
|
661 |
+
},
|
662 |
+
{
|
663 |
+
"epoch": 0.24187256176853056,
|
664 |
+
"grad_norm": 0.4068180890583648,
|
665 |
+
"learning_rate": 1.8803370952626895e-05,
|
666 |
+
"loss": 2.2904,
|
667 |
+
"step": 465
|
668 |
+
},
|
669 |
+
{
|
670 |
+
"epoch": 0.2444733420026008,
|
671 |
+
"grad_norm": 0.4179891521528739,
|
672 |
+
"learning_rate": 1.875991367913855e-05,
|
673 |
+
"loss": 2.3023,
|
674 |
+
"step": 470
|
675 |
+
},
|
676 |
+
{
|
677 |
+
"epoch": 0.247074122236671,
|
678 |
+
"grad_norm": 0.4095908465134204,
|
679 |
+
"learning_rate": 1.8715733391816325e-05,
|
680 |
+
"loss": 2.2553,
|
681 |
+
"step": 475
|
682 |
+
},
|
683 |
+
{
|
684 |
+
"epoch": 0.24967490247074123,
|
685 |
+
"grad_norm": 0.4288772358174505,
|
686 |
+
"learning_rate": 1.867083373715264e-05,
|
687 |
+
"loss": 2.2897,
|
688 |
+
"step": 480
|
689 |
+
},
|
690 |
+
{
|
691 |
+
"epoch": 0.25227568270481143,
|
692 |
+
"grad_norm": 0.418665612536374,
|
693 |
+
"learning_rate": 1.8625218421014093e-05,
|
694 |
+
"loss": 2.3026,
|
695 |
+
"step": 485
|
696 |
+
},
|
697 |
+
{
|
698 |
+
"epoch": 0.25487646293888166,
|
699 |
+
"grad_norm": 0.4054990412366829,
|
700 |
+
"learning_rate": 1.857889120833557e-05,
|
701 |
+
"loss": 2.2452,
|
702 |
+
"step": 490
|
703 |
+
},
|
704 |
+
{
|
705 |
+
"epoch": 0.2574772431729519,
|
706 |
+
"grad_norm": 0.4244802845116968,
|
707 |
+
"learning_rate": 1.853185592280951e-05,
|
708 |
+
"loss": 2.2645,
|
709 |
+
"step": 495
|
710 |
+
},
|
711 |
+
{
|
712 |
+
"epoch": 0.26007802340702213,
|
713 |
+
"grad_norm": 0.41294094690785654,
|
714 |
+
"learning_rate": 1.8484116446570286e-05,
|
715 |
+
"loss": 2.2745,
|
716 |
+
"step": 500
|
717 |
+
},
|
718 |
+
{
|
719 |
+
"epoch": 0.2626788036410923,
|
720 |
+
"grad_norm": 0.4416502443149561,
|
721 |
+
"learning_rate": 1.8435676719873828e-05,
|
722 |
+
"loss": 2.3012,
|
723 |
+
"step": 505
|
724 |
+
},
|
725 |
+
{
|
726 |
+
"epoch": 0.26527958387516254,
|
727 |
+
"grad_norm": 0.42276919127148177,
|
728 |
+
"learning_rate": 1.8386540740772376e-05,
|
729 |
+
"loss": 2.3062,
|
730 |
+
"step": 510
|
731 |
+
},
|
732 |
+
{
|
733 |
+
"epoch": 0.26788036410923277,
|
734 |
+
"grad_norm": 0.42890188987731626,
|
735 |
+
"learning_rate": 1.8336712564784506e-05,
|
736 |
+
"loss": 2.2855,
|
737 |
+
"step": 515
|
738 |
+
},
|
739 |
+
{
|
740 |
+
"epoch": 0.270481144343303,
|
741 |
+
"grad_norm": 0.43944006643762495,
|
742 |
+
"learning_rate": 1.828619630456039e-05,
|
743 |
+
"loss": 2.2945,
|
744 |
+
"step": 520
|
745 |
+
},
|
746 |
+
{
|
747 |
+
"epoch": 0.27308192457737324,
|
748 |
+
"grad_norm": 0.39897414033069534,
|
749 |
+
"learning_rate": 1.823499612954237e-05,
|
750 |
+
"loss": 2.2724,
|
751 |
+
"step": 525
|
752 |
+
},
|
753 |
+
{
|
754 |
+
"epoch": 0.2756827048114434,
|
755 |
+
"grad_norm": 0.42692898380084127,
|
756 |
+
"learning_rate": 1.8183116265620814e-05,
|
757 |
+
"loss": 2.2751,
|
758 |
+
"step": 530
|
759 |
+
},
|
760 |
+
{
|
761 |
+
"epoch": 0.27828348504551365,
|
762 |
+
"grad_norm": 0.5774651759629665,
|
763 |
+
"learning_rate": 1.8130560994785325e-05,
|
764 |
+
"loss": 2.2614,
|
765 |
+
"step": 535
|
766 |
+
},
|
767 |
+
{
|
768 |
+
"epoch": 0.2808842652795839,
|
769 |
+
"grad_norm": 0.4368497226958751,
|
770 |
+
"learning_rate": 1.807733465477133e-05,
|
771 |
+
"loss": 2.2752,
|
772 |
+
"step": 540
|
773 |
+
},
|
774 |
+
{
|
775 |
+
"epoch": 0.2834850455136541,
|
776 |
+
"grad_norm": 0.3949944652221127,
|
777 |
+
"learning_rate": 1.802344163870204e-05,
|
778 |
+
"loss": 2.2747,
|
779 |
+
"step": 545
|
780 |
+
},
|
781 |
+
{
|
782 |
+
"epoch": 0.28608582574772434,
|
783 |
+
"grad_norm": 0.4231648910835165,
|
784 |
+
"learning_rate": 1.7968886394725876e-05,
|
785 |
+
"loss": 2.2587,
|
786 |
+
"step": 550
|
787 |
+
},
|
788 |
+
{
|
789 |
+
"epoch": 0.2886866059817945,
|
790 |
+
"grad_norm": 0.41019516846530374,
|
791 |
+
"learning_rate": 1.791367342564932e-05,
|
792 |
+
"loss": 2.2687,
|
793 |
+
"step": 555
|
794 |
+
},
|
795 |
+
{
|
796 |
+
"epoch": 0.29128738621586475,
|
797 |
+
"grad_norm": 0.4183646932964066,
|
798 |
+
"learning_rate": 1.785780728856527e-05,
|
799 |
+
"loss": 2.2942,
|
800 |
+
"step": 560
|
801 |
+
},
|
802 |
+
{
|
803 |
+
"epoch": 0.293888166449935,
|
804 |
+
"grad_norm": 0.41427010452675417,
|
805 |
+
"learning_rate": 1.7801292594476925e-05,
|
806 |
+
"loss": 2.2807,
|
807 |
+
"step": 565
|
808 |
+
},
|
809 |
+
{
|
810 |
+
"epoch": 0.2964889466840052,
|
811 |
+
"grad_norm": 0.40822217591655924,
|
812 |
+
"learning_rate": 1.7744134007917195e-05,
|
813 |
+
"loss": 2.2787,
|
814 |
+
"step": 570
|
815 |
+
},
|
816 |
+
{
|
817 |
+
"epoch": 0.29908972691807545,
|
818 |
+
"grad_norm": 0.43458061917820046,
|
819 |
+
"learning_rate": 1.768633624656371e-05,
|
820 |
+
"loss": 2.2783,
|
821 |
+
"step": 575
|
822 |
+
},
|
823 |
+
{
|
824 |
+
"epoch": 0.3016905071521456,
|
825 |
+
"grad_norm": 0.41243095488481374,
|
826 |
+
"learning_rate": 1.7627904080849436e-05,
|
827 |
+
"loss": 2.2527,
|
828 |
+
"step": 580
|
829 |
+
},
|
830 |
+
{
|
831 |
+
"epoch": 0.30429128738621586,
|
832 |
+
"grad_norm": 0.4282495979925253,
|
833 |
+
"learning_rate": 1.7568842333568952e-05,
|
834 |
+
"loss": 2.2784,
|
835 |
+
"step": 585
|
836 |
+
},
|
837 |
+
{
|
838 |
+
"epoch": 0.3068920676202861,
|
839 |
+
"grad_norm": 0.45009971762477025,
|
840 |
+
"learning_rate": 1.7509155879480376e-05,
|
841 |
+
"loss": 2.2261,
|
842 |
+
"step": 590
|
843 |
+
},
|
844 |
+
{
|
845 |
+
"epoch": 0.3094928478543563,
|
846 |
+
"grad_norm": 0.4099231262196378,
|
847 |
+
"learning_rate": 1.7448849644903024e-05,
|
848 |
+
"loss": 2.2744,
|
849 |
+
"step": 595
|
850 |
+
},
|
851 |
+
{
|
852 |
+
"epoch": 0.31209362808842656,
|
853 |
+
"grad_norm": 0.39853848132220815,
|
854 |
+
"learning_rate": 1.738792860731082e-05,
|
855 |
+
"loss": 2.3049,
|
856 |
+
"step": 600
|
857 |
+
},
|
858 |
+
{
|
859 |
+
"epoch": 0.31469440832249673,
|
860 |
+
"grad_norm": 0.4189298954062125,
|
861 |
+
"learning_rate": 1.7326397794921453e-05,
|
862 |
+
"loss": 2.2771,
|
863 |
+
"step": 605
|
864 |
+
},
|
865 |
+
{
|
866 |
+
"epoch": 0.31729518855656696,
|
867 |
+
"grad_norm": 0.4062958057669602,
|
868 |
+
"learning_rate": 1.7264262286281388e-05,
|
869 |
+
"loss": 2.2854,
|
870 |
+
"step": 610
|
871 |
+
},
|
872 |
+
{
|
873 |
+
"epoch": 0.3198959687906372,
|
874 |
+
"grad_norm": 0.4174075877503918,
|
875 |
+
"learning_rate": 1.7201527209846665e-05,
|
876 |
+
"loss": 2.3018,
|
877 |
+
"step": 615
|
878 |
+
},
|
879 |
+
{
|
880 |
+
"epoch": 0.32249674902470743,
|
881 |
+
"grad_norm": 0.40725167976981597,
|
882 |
+
"learning_rate": 1.7138197743559656e-05,
|
883 |
+
"loss": 2.2715,
|
884 |
+
"step": 620
|
885 |
+
},
|
886 |
+
{
|
887 |
+
"epoch": 0.3250975292587776,
|
888 |
+
"grad_norm": 0.43501733923677793,
|
889 |
+
"learning_rate": 1.7074279114421655e-05,
|
890 |
+
"loss": 2.2777,
|
891 |
+
"step": 625
|
892 |
+
},
|
893 |
+
{
|
894 |
+
"epoch": 0.32769830949284784,
|
895 |
+
"grad_norm": 0.4267668851051862,
|
896 |
+
"learning_rate": 1.7009776598061496e-05,
|
897 |
+
"loss": 2.2632,
|
898 |
+
"step": 630
|
899 |
+
},
|
900 |
+
{
|
901 |
+
"epoch": 0.33029908972691807,
|
902 |
+
"grad_norm": 0.41325763071560917,
|
903 |
+
"learning_rate": 1.6944695518300087e-05,
|
904 |
+
"loss": 2.2961,
|
905 |
+
"step": 635
|
906 |
+
},
|
907 |
+
{
|
908 |
+
"epoch": 0.3328998699609883,
|
909 |
+
"grad_norm": 0.4097349085762526,
|
910 |
+
"learning_rate": 1.6879041246711025e-05,
|
911 |
+
"loss": 2.2772,
|
912 |
+
"step": 640
|
913 |
+
},
|
914 |
+
{
|
915 |
+
"epoch": 0.33550065019505854,
|
916 |
+
"grad_norm": 0.4118740879092736,
|
917 |
+
"learning_rate": 1.6812819202177225e-05,
|
918 |
+
"loss": 2.2927,
|
919 |
+
"step": 645
|
920 |
+
},
|
921 |
+
{
|
922 |
+
"epoch": 0.3381014304291287,
|
923 |
+
"grad_norm": 0.40576237897775325,
|
924 |
+
"learning_rate": 1.6746034850443683e-05,
|
925 |
+
"loss": 2.271,
|
926 |
+
"step": 650
|
927 |
+
},
|
928 |
+
{
|
929 |
+
"epoch": 0.34070221066319895,
|
930 |
+
"grad_norm": 0.42183587732698574,
|
931 |
+
"learning_rate": 1.6678693703666327e-05,
|
932 |
+
"loss": 2.2766,
|
933 |
+
"step": 655
|
934 |
+
},
|
935 |
+
{
|
936 |
+
"epoch": 0.3433029908972692,
|
937 |
+
"grad_norm": 0.4143980865523107,
|
938 |
+
"learning_rate": 1.6610801319957094e-05,
|
939 |
+
"loss": 2.2568,
|
940 |
+
"step": 660
|
941 |
+
},
|
942 |
+
{
|
943 |
+
"epoch": 0.3459037711313394,
|
944 |
+
"grad_norm": 0.42248752750572977,
|
945 |
+
"learning_rate": 1.654236330292515e-05,
|
946 |
+
"loss": 2.2685,
|
947 |
+
"step": 665
|
948 |
+
},
|
949 |
+
{
|
950 |
+
"epoch": 0.34850455136540964,
|
951 |
+
"grad_norm": 0.40537525032067523,
|
952 |
+
"learning_rate": 1.647338530121441e-05,
|
953 |
+
"loss": 2.2612,
|
954 |
+
"step": 670
|
955 |
+
},
|
956 |
+
{
|
957 |
+
"epoch": 0.3511053315994798,
|
958 |
+
"grad_norm": 0.4027010096639477,
|
959 |
+
"learning_rate": 1.6403873008037306e-05,
|
960 |
+
"loss": 2.269,
|
961 |
+
"step": 675
|
962 |
+
},
|
963 |
+
{
|
964 |
+
"epoch": 0.35370611183355005,
|
965 |
+
"grad_norm": 0.41439590187756714,
|
966 |
+
"learning_rate": 1.6333832160704895e-05,
|
967 |
+
"loss": 2.2619,
|
968 |
+
"step": 680
|
969 |
+
},
|
970 |
+
{
|
971 |
+
"epoch": 0.3563068920676203,
|
972 |
+
"grad_norm": 0.4024453337904974,
|
973 |
+
"learning_rate": 1.6263268540153313e-05,
|
974 |
+
"loss": 2.2639,
|
975 |
+
"step": 685
|
976 |
+
},
|
977 |
+
{
|
978 |
+
"epoch": 0.3589076723016905,
|
979 |
+
"grad_norm": 0.4104644349765972,
|
980 |
+
"learning_rate": 1.6192187970466646e-05,
|
981 |
+
"loss": 2.2758,
|
982 |
+
"step": 690
|
983 |
+
},
|
984 |
+
{
|
985 |
+
"epoch": 0.36150845253576075,
|
986 |
+
"grad_norm": 0.5594987533069902,
|
987 |
+
"learning_rate": 1.6120596318396214e-05,
|
988 |
+
"loss": 2.2736,
|
989 |
+
"step": 695
|
990 |
+
},
|
991 |
+
{
|
992 |
+
"epoch": 0.3641092327698309,
|
993 |
+
"grad_norm": 0.404796094364898,
|
994 |
+
"learning_rate": 1.6048499492876378e-05,
|
995 |
+
"loss": 2.2959,
|
996 |
+
"step": 700
|
997 |
+
},
|
998 |
+
{
|
999 |
+
"epoch": 0.36671001300390116,
|
1000 |
+
"grad_norm": 0.41993515236832657,
|
1001 |
+
"learning_rate": 1.5975903444536798e-05,
|
1002 |
+
"loss": 2.2932,
|
1003 |
+
"step": 705
|
1004 |
+
},
|
1005 |
+
{
|
1006 |
+
"epoch": 0.3693107932379714,
|
1007 |
+
"grad_norm": 0.41692831995756224,
|
1008 |
+
"learning_rate": 1.5902814165211314e-05,
|
1009 |
+
"loss": 2.2739,
|
1010 |
+
"step": 710
|
1011 |
+
},
|
1012 |
+
{
|
1013 |
+
"epoch": 0.3719115734720416,
|
1014 |
+
"grad_norm": 0.4088005848052102,
|
1015 |
+
"learning_rate": 1.5829237687443407e-05,
|
1016 |
+
"loss": 2.2741,
|
1017 |
+
"step": 715
|
1018 |
+
},
|
1019 |
+
{
|
1020 |
+
"epoch": 0.37451235370611186,
|
1021 |
+
"grad_norm": 0.4348987588147031,
|
1022 |
+
"learning_rate": 1.5755180083988256e-05,
|
1023 |
+
"loss": 2.299,
|
1024 |
+
"step": 720
|
1025 |
+
},
|
1026 |
+
{
|
1027 |
+
"epoch": 0.37711313394018203,
|
1028 |
+
"grad_norm": 0.3869333371066437,
|
1029 |
+
"learning_rate": 1.568064746731156e-05,
|
1030 |
+
"loss": 2.2736,
|
1031 |
+
"step": 725
|
1032 |
+
},
|
1033 |
+
{
|
1034 |
+
"epoch": 0.37971391417425226,
|
1035 |
+
"grad_norm": 0.4724079277564694,
|
1036 |
+
"learning_rate": 1.5605645989084996e-05,
|
1037 |
+
"loss": 2.2574,
|
1038 |
+
"step": 730
|
1039 |
+
},
|
1040 |
+
{
|
1041 |
+
"epoch": 0.3823146944083225,
|
1042 |
+
"grad_norm": 0.42727310538612284,
|
1043 |
+
"learning_rate": 1.5530181839678506e-05,
|
1044 |
+
"loss": 2.2559,
|
1045 |
+
"step": 735
|
1046 |
+
},
|
1047 |
+
{
|
1048 |
+
"epoch": 0.38491547464239273,
|
1049 |
+
"grad_norm": 0.4149607685779955,
|
1050 |
+
"learning_rate": 1.545426124764936e-05,
|
1051 |
+
"loss": 2.2747,
|
1052 |
+
"step": 740
|
1053 |
+
},
|
1054 |
+
{
|
1055 |
+
"epoch": 0.38751625487646296,
|
1056 |
+
"grad_norm": 0.42562746149976444,
|
1057 |
+
"learning_rate": 1.5377890479228053e-05,
|
1058 |
+
"loss": 2.2686,
|
1059 |
+
"step": 745
|
1060 |
+
},
|
1061 |
+
{
|
1062 |
+
"epoch": 0.39011703511053314,
|
1063 |
+
"grad_norm": 0.42242365905288914,
|
1064 |
+
"learning_rate": 1.5301075837801145e-05,
|
1065 |
+
"loss": 2.262,
|
1066 |
+
"step": 750
|
1067 |
+
},
|
1068 |
+
{
|
1069 |
+
"epoch": 0.39271781534460337,
|
1070 |
+
"grad_norm": 0.4043182375613442,
|
1071 |
+
"learning_rate": 1.5223823663390964e-05,
|
1072 |
+
"loss": 2.2999,
|
1073 |
+
"step": 755
|
1074 |
+
},
|
1075 |
+
{
|
1076 |
+
"epoch": 0.3953185955786736,
|
1077 |
+
"grad_norm": 0.4014226795792646,
|
1078 |
+
"learning_rate": 1.5146140332132359e-05,
|
1079 |
+
"loss": 2.2882,
|
1080 |
+
"step": 760
|
1081 |
+
},
|
1082 |
+
{
|
1083 |
+
"epoch": 0.39791937581274384,
|
1084 |
+
"grad_norm": 0.41229108021598954,
|
1085 |
+
"learning_rate": 1.50680322557464e-05,
|
1086 |
+
"loss": 2.2915,
|
1087 |
+
"step": 765
|
1088 |
+
},
|
1089 |
+
{
|
1090 |
+
"epoch": 0.40052015604681407,
|
1091 |
+
"grad_norm": 0.40410628915367974,
|
1092 |
+
"learning_rate": 1.4989505881011201e-05,
|
1093 |
+
"loss": 2.2827,
|
1094 |
+
"step": 770
|
1095 |
+
},
|
1096 |
+
{
|
1097 |
+
"epoch": 0.40312093628088425,
|
1098 |
+
"grad_norm": 0.4123788805293143,
|
1099 |
+
"learning_rate": 1.4910567689229812e-05,
|
1100 |
+
"loss": 2.2758,
|
1101 |
+
"step": 775
|
1102 |
+
},
|
1103 |
+
{
|
1104 |
+
"epoch": 0.4057217165149545,
|
1105 |
+
"grad_norm": 0.4127020336028451,
|
1106 |
+
"learning_rate": 1.4831224195695275e-05,
|
1107 |
+
"loss": 2.2866,
|
1108 |
+
"step": 780
|
1109 |
+
},
|
1110 |
+
{
|
1111 |
+
"epoch": 0.4083224967490247,
|
1112 |
+
"grad_norm": 0.4067660692602614,
|
1113 |
+
"learning_rate": 1.4751481949152888e-05,
|
1114 |
+
"loss": 2.248,
|
1115 |
+
"step": 785
|
1116 |
+
},
|
1117 |
+
{
|
1118 |
+
"epoch": 0.41092327698309494,
|
1119 |
+
"grad_norm": 0.40648002372954717,
|
1120 |
+
"learning_rate": 1.4671347531259674e-05,
|
1121 |
+
"loss": 2.2856,
|
1122 |
+
"step": 790
|
1123 |
+
},
|
1124 |
+
{
|
1125 |
+
"epoch": 0.4135240572171652,
|
1126 |
+
"grad_norm": 0.4009001987782148,
|
1127 |
+
"learning_rate": 1.4590827556041158e-05,
|
1128 |
+
"loss": 2.2905,
|
1129 |
+
"step": 795
|
1130 |
+
},
|
1131 |
+
{
|
1132 |
+
"epoch": 0.41612483745123535,
|
1133 |
+
"grad_norm": 0.4190576870475519,
|
1134 |
+
"learning_rate": 1.450992866934548e-05,
|
1135 |
+
"loss": 2.2676,
|
1136 |
+
"step": 800
|
1137 |
+
},
|
1138 |
+
{
|
1139 |
+
"epoch": 0.4187256176853056,
|
1140 |
+
"grad_norm": 0.40565344687436516,
|
1141 |
+
"learning_rate": 1.442865754829485e-05,
|
1142 |
+
"loss": 2.2725,
|
1143 |
+
"step": 805
|
1144 |
+
},
|
1145 |
+
{
|
1146 |
+
"epoch": 0.4213263979193758,
|
1147 |
+
"grad_norm": 0.39987691654168583,
|
1148 |
+
"learning_rate": 1.4347020900734458e-05,
|
1149 |
+
"loss": 2.279,
|
1150 |
+
"step": 810
|
1151 |
+
},
|
1152 |
+
{
|
1153 |
+
"epoch": 0.42392717815344605,
|
1154 |
+
"grad_norm": 0.3849016079800747,
|
1155 |
+
"learning_rate": 1.426502546467882e-05,
|
1156 |
+
"loss": 2.2549,
|
1157 |
+
"step": 815
|
1158 |
+
},
|
1159 |
+
{
|
1160 |
+
"epoch": 0.4265279583875163,
|
1161 |
+
"grad_norm": 0.404786678502953,
|
1162 |
+
"learning_rate": 1.4182678007755653e-05,
|
1163 |
+
"loss": 2.248,
|
1164 |
+
"step": 820
|
1165 |
+
},
|
1166 |
+
{
|
1167 |
+
"epoch": 0.42912873862158646,
|
1168 |
+
"grad_norm": 0.4167196866729737,
|
1169 |
+
"learning_rate": 1.4099985326647285e-05,
|
1170 |
+
"loss": 2.273,
|
1171 |
+
"step": 825
|
1172 |
+
},
|
1173 |
+
{
|
1174 |
+
"epoch": 0.4317295188556567,
|
1175 |
+
"grad_norm": 0.3915200348060608,
|
1176 |
+
"learning_rate": 1.4016954246529697e-05,
|
1177 |
+
"loss": 2.246,
|
1178 |
+
"step": 830
|
1179 |
+
},
|
1180 |
+
{
|
1181 |
+
"epoch": 0.4343302990897269,
|
1182 |
+
"grad_norm": 0.40449571430111425,
|
1183 |
+
"learning_rate": 1.393359162050918e-05,
|
1184 |
+
"loss": 2.2364,
|
1185 |
+
"step": 835
|
1186 |
+
},
|
1187 |
+
{
|
1188 |
+
"epoch": 0.43693107932379716,
|
1189 |
+
"grad_norm": 0.3867658749935242,
|
1190 |
+
"learning_rate": 1.384990432905671e-05,
|
1191 |
+
"loss": 2.2747,
|
1192 |
+
"step": 840
|
1193 |
+
},
|
1194 |
+
{
|
1195 |
+
"epoch": 0.43953185955786733,
|
1196 |
+
"grad_norm": 0.4015710624164935,
|
1197 |
+
"learning_rate": 1.3765899279440064e-05,
|
1198 |
+
"loss": 2.2791,
|
1199 |
+
"step": 845
|
1200 |
+
},
|
1201 |
+
{
|
1202 |
+
"epoch": 0.44213263979193757,
|
1203 |
+
"grad_norm": 0.40563402700708584,
|
1204 |
+
"learning_rate": 1.3681583405153704e-05,
|
1205 |
+
"loss": 2.2609,
|
1206 |
+
"step": 850
|
1207 |
+
},
|
1208 |
+
{
|
1209 |
+
"epoch": 0.4447334200260078,
|
1210 |
+
"grad_norm": 0.4118299528517327,
|
1211 |
+
"learning_rate": 1.3596963665346514e-05,
|
1212 |
+
"loss": 2.2753,
|
1213 |
+
"step": 855
|
1214 |
+
},
|
1215 |
+
{
|
1216 |
+
"epoch": 0.44733420026007803,
|
1217 |
+
"grad_norm": 0.39884845615523695,
|
1218 |
+
"learning_rate": 1.3512047044247423e-05,
|
1219 |
+
"loss": 2.2819,
|
1220 |
+
"step": 860
|
1221 |
+
},
|
1222 |
+
{
|
1223 |
+
"epoch": 0.44993498049414826,
|
1224 |
+
"grad_norm": 0.408102295409258,
|
1225 |
+
"learning_rate": 1.3426840550588933e-05,
|
1226 |
+
"loss": 2.2495,
|
1227 |
+
"step": 865
|
1228 |
+
},
|
1229 |
+
{
|
1230 |
+
"epoch": 0.45253576072821844,
|
1231 |
+
"grad_norm": 0.41987937512067763,
|
1232 |
+
"learning_rate": 1.3341351217028669e-05,
|
1233 |
+
"loss": 2.2487,
|
1234 |
+
"step": 870
|
1235 |
+
},
|
1236 |
+
{
|
1237 |
+
"epoch": 0.45513654096228867,
|
1238 |
+
"grad_norm": 0.39473938306748274,
|
1239 |
+
"learning_rate": 1.3255586099568896e-05,
|
1240 |
+
"loss": 2.2784,
|
1241 |
+
"step": 875
|
1242 |
+
},
|
1243 |
+
{
|
1244 |
+
"epoch": 0.4577373211963589,
|
1245 |
+
"grad_norm": 0.40572104385822627,
|
1246 |
+
"learning_rate": 1.3169552276974162e-05,
|
1247 |
+
"loss": 2.2657,
|
1248 |
+
"step": 880
|
1249 |
+
},
|
1250 |
+
{
|
1251 |
+
"epoch": 0.46033810143042914,
|
1252 |
+
"grad_norm": 0.39490922913293697,
|
1253 |
+
"learning_rate": 1.3083256850187036e-05,
|
1254 |
+
"loss": 2.2657,
|
1255 |
+
"step": 885
|
1256 |
+
},
|
1257 |
+
{
|
1258 |
+
"epoch": 0.46293888166449937,
|
1259 |
+
"grad_norm": 0.4011404454106932,
|
1260 |
+
"learning_rate": 1.2996706941742012e-05,
|
1261 |
+
"loss": 2.2584,
|
1262 |
+
"step": 890
|
1263 |
+
},
|
1264 |
+
{
|
1265 |
+
"epoch": 0.46553966189856955,
|
1266 |
+
"grad_norm": 0.3934876590340417,
|
1267 |
+
"learning_rate": 1.2909909695177647e-05,
|
1268 |
+
"loss": 2.2492,
|
1269 |
+
"step": 895
|
1270 |
+
},
|
1271 |
+
{
|
1272 |
+
"epoch": 0.4681404421326398,
|
1273 |
+
"grad_norm": 0.4334665858337218,
|
1274 |
+
"learning_rate": 1.2822872274446958e-05,
|
1275 |
+
"loss": 2.2716,
|
1276 |
+
"step": 900
|
1277 |
+
},
|
1278 |
+
{
|
1279 |
+
"epoch": 0.47074122236671,
|
1280 |
+
"grad_norm": 0.4009072108584327,
|
1281 |
+
"learning_rate": 1.2735601863326124e-05,
|
1282 |
+
"loss": 2.2693,
|
1283 |
+
"step": 905
|
1284 |
+
},
|
1285 |
+
{
|
1286 |
+
"epoch": 0.47334200260078024,
|
1287 |
+
"grad_norm": 0.4019876662042798,
|
1288 |
+
"learning_rate": 1.2648105664821577e-05,
|
1289 |
+
"loss": 2.2499,
|
1290 |
+
"step": 910
|
1291 |
+
},
|
1292 |
+
{
|
1293 |
+
"epoch": 0.4759427828348505,
|
1294 |
+
"grad_norm": 0.394364565475087,
|
1295 |
+
"learning_rate": 1.2560390900575472e-05,
|
1296 |
+
"loss": 2.2683,
|
1297 |
+
"step": 915
|
1298 |
+
},
|
1299 |
+
{
|
1300 |
+
"epoch": 0.47854356306892065,
|
1301 |
+
"grad_norm": 0.4022232639573475,
|
1302 |
+
"learning_rate": 1.2472464810269653e-05,
|
1303 |
+
"loss": 2.2354,
|
1304 |
+
"step": 920
|
1305 |
+
},
|
1306 |
+
{
|
1307 |
+
"epoch": 0.4811443433029909,
|
1308 |
+
"grad_norm": 0.4271559987618919,
|
1309 |
+
"learning_rate": 1.2384334651028098e-05,
|
1310 |
+
"loss": 2.266,
|
1311 |
+
"step": 925
|
1312 |
+
},
|
1313 |
+
{
|
1314 |
+
"epoch": 0.4837451235370611,
|
1315 |
+
"grad_norm": 0.4080839682795773,
|
1316 |
+
"learning_rate": 1.2296007696817957e-05,
|
1317 |
+
"loss": 2.2641,
|
1318 |
+
"step": 930
|
1319 |
+
},
|
1320 |
+
{
|
1321 |
+
"epoch": 0.48634590377113135,
|
1322 |
+
"grad_norm": 0.4169798937817002,
|
1323 |
+
"learning_rate": 1.2207491237849174e-05,
|
1324 |
+
"loss": 2.2461,
|
1325 |
+
"step": 935
|
1326 |
+
},
|
1327 |
+
{
|
1328 |
+
"epoch": 0.4889466840052016,
|
1329 |
+
"grad_norm": 0.39043603769224566,
|
1330 |
+
"learning_rate": 1.2118792579972773e-05,
|
1331 |
+
"loss": 2.2574,
|
1332 |
+
"step": 940
|
1333 |
+
},
|
1334 |
+
{
|
1335 |
+
"epoch": 0.49154746423927176,
|
1336 |
+
"grad_norm": 0.41837982163357523,
|
1337 |
+
"learning_rate": 1.2029919044077874e-05,
|
1338 |
+
"loss": 2.2826,
|
1339 |
+
"step": 945
|
1340 |
+
},
|
1341 |
+
{
|
1342 |
+
"epoch": 0.494148244473342,
|
1343 |
+
"grad_norm": 0.41194970118458496,
|
1344 |
+
"learning_rate": 1.194087796548743e-05,
|
1345 |
+
"loss": 2.2769,
|
1346 |
+
"step": 950
|
1347 |
+
},
|
1348 |
+
{
|
1349 |
+
"epoch": 0.4967490247074122,
|
1350 |
+
"grad_norm": 0.4040702919109425,
|
1351 |
+
"learning_rate": 1.185167669335281e-05,
|
1352 |
+
"loss": 2.2977,
|
1353 |
+
"step": 955
|
1354 |
+
},
|
1355 |
+
{
|
1356 |
+
"epoch": 0.49934980494148246,
|
1357 |
+
"grad_norm": 0.39486895318415,
|
1358 |
+
"learning_rate": 1.176232259004722e-05,
|
1359 |
+
"loss": 2.2652,
|
1360 |
+
"step": 960
|
1361 |
+
},
|
1362 |
+
{
|
1363 |
+
"epoch": 0.5019505851755527,
|
1364 |
+
"grad_norm": 0.4094337034652758,
|
1365 |
+
"learning_rate": 1.1672823030558036e-05,
|
1366 |
+
"loss": 2.2859,
|
1367 |
+
"step": 965
|
1368 |
+
},
|
1369 |
+
{
|
1370 |
+
"epoch": 0.5045513654096229,
|
1371 |
+
"grad_norm": 0.3947877180935096,
|
1372 |
+
"learning_rate": 1.15831854018781e-05,
|
1373 |
+
"loss": 2.2563,
|
1374 |
+
"step": 970
|
1375 |
+
},
|
1376 |
+
{
|
1377 |
+
"epoch": 0.5071521456436932,
|
1378 |
+
"grad_norm": 0.3981699504831132,
|
1379 |
+
"learning_rate": 1.1493417102396023e-05,
|
1380 |
+
"loss": 2.2586,
|
1381 |
+
"step": 975
|
1382 |
+
},
|
1383 |
+
{
|
1384 |
+
"epoch": 0.5097529258777633,
|
1385 |
+
"grad_norm": 0.3997818914286282,
|
1386 |
+
"learning_rate": 1.1403525541285536e-05,
|
1387 |
+
"loss": 2.2529,
|
1388 |
+
"step": 980
|
1389 |
+
},
|
1390 |
+
{
|
1391 |
+
"epoch": 0.5123537061118335,
|
1392 |
+
"grad_norm": 0.4034382921172292,
|
1393 |
+
"learning_rate": 1.1313518137893984e-05,
|
1394 |
+
"loss": 2.2626,
|
1395 |
+
"step": 985
|
1396 |
+
},
|
1397 |
+
{
|
1398 |
+
"epoch": 0.5149544863459038,
|
1399 |
+
"grad_norm": 0.40310724786384267,
|
1400 |
+
"learning_rate": 1.122340232112993e-05,
|
1401 |
+
"loss": 2.2575,
|
1402 |
+
"step": 990
|
1403 |
+
},
|
1404 |
+
{
|
1405 |
+
"epoch": 0.517555266579974,
|
1406 |
+
"grad_norm": 0.3942328864184433,
|
1407 |
+
"learning_rate": 1.1133185528850024e-05,
|
1408 |
+
"loss": 2.2651,
|
1409 |
+
"step": 995
|
1410 |
+
},
|
1411 |
+
{
|
1412 |
+
"epoch": 0.5201560468140443,
|
1413 |
+
"grad_norm": 0.4173488156503363,
|
1414 |
+
"learning_rate": 1.104287520724509e-05,
|
1415 |
+
"loss": 2.2544,
|
1416 |
+
"step": 1000
|
1417 |
+
},
|
1418 |
+
{
|
1419 |
+
"epoch": 0.5227568270481144,
|
1420 |
+
"grad_norm": 0.39388806138277255,
|
1421 |
+
"learning_rate": 1.095247881022555e-05,
|
1422 |
+
"loss": 2.2937,
|
1423 |
+
"step": 1005
|
1424 |
+
},
|
1425 |
+
{
|
1426 |
+
"epoch": 0.5253576072821846,
|
1427 |
+
"grad_norm": 0.40035476964034117,
|
1428 |
+
"learning_rate": 1.0862003798806195e-05,
|
1429 |
+
"loss": 2.2872,
|
1430 |
+
"step": 1010
|
1431 |
+
},
|
1432 |
+
{
|
1433 |
+
"epoch": 0.5279583875162549,
|
1434 |
+
"grad_norm": 0.4024014335133922,
|
1435 |
+
"learning_rate": 1.07714576404904e-05,
|
1436 |
+
"loss": 2.2687,
|
1437 |
+
"step": 1015
|
1438 |
+
},
|
1439 |
+
{
|
1440 |
+
"epoch": 0.5305591677503251,
|
1441 |
+
"grad_norm": 0.38731591485476247,
|
1442 |
+
"learning_rate": 1.0680847808653747e-05,
|
1443 |
+
"loss": 2.2622,
|
1444 |
+
"step": 1020
|
1445 |
+
},
|
1446 |
+
{
|
1447 |
+
"epoch": 0.5331599479843954,
|
1448 |
+
"grad_norm": 0.40054108594934995,
|
1449 |
+
"learning_rate": 1.0590181781927229e-05,
|
1450 |
+
"loss": 2.2669,
|
1451 |
+
"step": 1025
|
1452 |
+
},
|
1453 |
+
{
|
1454 |
+
"epoch": 0.5357607282184655,
|
1455 |
+
"grad_norm": 0.3846726780523599,
|
1456 |
+
"learning_rate": 1.0499467043579974e-05,
|
1457 |
+
"loss": 2.2641,
|
1458 |
+
"step": 1030
|
1459 |
+
},
|
1460 |
+
{
|
1461 |
+
"epoch": 0.5383615084525357,
|
1462 |
+
"grad_norm": 0.39464718229343276,
|
1463 |
+
"learning_rate": 1.0408711080901598e-05,
|
1464 |
+
"loss": 2.2711,
|
1465 |
+
"step": 1035
|
1466 |
+
},
|
1467 |
+
{
|
1468 |
+
"epoch": 0.540962288686606,
|
1469 |
+
"grad_norm": 0.40060852826239435,
|
1470 |
+
"learning_rate": 1.0317921384584245e-05,
|
1471 |
+
"loss": 2.2589,
|
1472 |
+
"step": 1040
|
1473 |
+
},
|
1474 |
+
{
|
1475 |
+
"epoch": 0.5435630689206762,
|
1476 |
+
"grad_norm": 0.3864095081088353,
|
1477 |
+
"learning_rate": 1.0227105448104308e-05,
|
1478 |
+
"loss": 2.2757,
|
1479 |
+
"step": 1045
|
1480 |
+
},
|
1481 |
+
{
|
1482 |
+
"epoch": 0.5461638491547465,
|
1483 |
+
"grad_norm": 0.40683220249643803,
|
1484 |
+
"learning_rate": 1.0136270767103967e-05,
|
1485 |
+
"loss": 2.2478,
|
1486 |
+
"step": 1050
|
1487 |
+
},
|
1488 |
+
{
|
1489 |
+
"epoch": 0.5487646293888166,
|
1490 |
+
"grad_norm": 0.40364574316169327,
|
1491 |
+
"learning_rate": 1.0045424838772497e-05,
|
1492 |
+
"loss": 2.2457,
|
1493 |
+
"step": 1055
|
1494 |
+
},
|
1495 |
+
{
|
1496 |
+
"epoch": 0.5513654096228868,
|
1497 |
+
"grad_norm": 0.39909089742018006,
|
1498 |
+
"learning_rate": 9.954575161227503e-06,
|
1499 |
+
"loss": 2.269,
|
1500 |
+
"step": 1060
|
1501 |
+
},
|
1502 |
+
{
|
1503 |
+
"epoch": 0.5539661898569571,
|
1504 |
+
"grad_norm": 0.3895157377499068,
|
1505 |
+
"learning_rate": 9.863729232896035e-06,
|
1506 |
+
"loss": 2.272,
|
1507 |
+
"step": 1065
|
1508 |
+
},
|
1509 |
+
{
|
1510 |
+
"epoch": 0.5565669700910273,
|
1511 |
+
"grad_norm": 0.39908721011359033,
|
1512 |
+
"learning_rate": 9.772894551895692e-06,
|
1513 |
+
"loss": 2.2598,
|
1514 |
+
"step": 1070
|
1515 |
+
},
|
1516 |
+
{
|
1517 |
+
"epoch": 0.5591677503250976,
|
1518 |
+
"grad_norm": 0.4145617786401608,
|
1519 |
+
"learning_rate": 9.682078615415755e-06,
|
1520 |
+
"loss": 2.256,
|
1521 |
+
"step": 1075
|
1522 |
+
},
|
1523 |
+
{
|
1524 |
+
"epoch": 0.5617685305591678,
|
1525 |
+
"grad_norm": 0.40100222100669214,
|
1526 |
+
"learning_rate": 9.591288919098402e-06,
|
1527 |
+
"loss": 2.2577,
|
1528 |
+
"step": 1080
|
1529 |
+
},
|
1530 |
+
{
|
1531 |
+
"epoch": 0.5643693107932379,
|
1532 |
+
"grad_norm": 0.4061162317910723,
|
1533 |
+
"learning_rate": 9.500532956420028e-06,
|
1534 |
+
"loss": 2.2444,
|
1535 |
+
"step": 1085
|
1536 |
+
},
|
1537 |
+
{
|
1538 |
+
"epoch": 0.5669700910273082,
|
1539 |
+
"grad_norm": 0.3979878981899698,
|
1540 |
+
"learning_rate": 9.409818218072774e-06,
|
1541 |
+
"loss": 2.238,
|
1542 |
+
"step": 1090
|
1543 |
+
},
|
1544 |
+
{
|
1545 |
+
"epoch": 0.5695708712613784,
|
1546 |
+
"grad_norm": 0.42032443863245716,
|
1547 |
+
"learning_rate": 9.319152191346255e-06,
|
1548 |
+
"loss": 2.259,
|
1549 |
+
"step": 1095
|
1550 |
+
},
|
1551 |
+
{
|
1552 |
+
"epoch": 0.5721716514954487,
|
1553 |
+
"grad_norm": 0.3841670620130304,
|
1554 |
+
"learning_rate": 9.228542359509604e-06,
|
1555 |
+
"loss": 2.2726,
|
1556 |
+
"step": 1100
|
1557 |
+
},
|
1558 |
+
{
|
1559 |
+
"epoch": 0.5747724317295189,
|
1560 |
+
"grad_norm": 0.3934375851231943,
|
1561 |
+
"learning_rate": 9.137996201193807e-06,
|
1562 |
+
"loss": 2.2817,
|
1563 |
+
"step": 1105
|
1564 |
+
},
|
1565 |
+
{
|
1566 |
+
"epoch": 0.577373211963589,
|
1567 |
+
"grad_norm": 0.43987340826594445,
|
1568 |
+
"learning_rate": 9.047521189774456e-06,
|
1569 |
+
"loss": 2.266,
|
1570 |
+
"step": 1110
|
1571 |
+
},
|
1572 |
+
{
|
1573 |
+
"epoch": 0.5799739921976593,
|
1574 |
+
"grad_norm": 0.39405209949111636,
|
1575 |
+
"learning_rate": 8.957124792754913e-06,
|
1576 |
+
"loss": 2.2622,
|
1577 |
+
"step": 1115
|
1578 |
+
},
|
1579 |
+
{
|
1580 |
+
"epoch": 0.5825747724317295,
|
1581 |
+
"grad_norm": 0.39432828211359744,
|
1582 |
+
"learning_rate": 8.866814471149977e-06,
|
1583 |
+
"loss": 2.2647,
|
1584 |
+
"step": 1120
|
1585 |
+
},
|
1586 |
+
{
|
1587 |
+
"epoch": 0.5851755526657998,
|
1588 |
+
"grad_norm": 0.4151146193247924,
|
1589 |
+
"learning_rate": 8.776597678870072e-06,
|
1590 |
+
"loss": 2.2811,
|
1591 |
+
"step": 1125
|
1592 |
+
},
|
1593 |
+
{
|
1594 |
+
"epoch": 0.58777633289987,
|
1595 |
+
"grad_norm": 0.3999401443902343,
|
1596 |
+
"learning_rate": 8.686481862106019e-06,
|
1597 |
+
"loss": 2.2585,
|
1598 |
+
"step": 1130
|
1599 |
+
},
|
1600 |
+
{
|
1601 |
+
"epoch": 0.5903771131339401,
|
1602 |
+
"grad_norm": 0.39080240935002436,
|
1603 |
+
"learning_rate": 8.596474458714466e-06,
|
1604 |
+
"loss": 2.2608,
|
1605 |
+
"step": 1135
|
1606 |
+
},
|
1607 |
+
{
|
1608 |
+
"epoch": 0.5929778933680104,
|
1609 |
+
"grad_norm": 0.3968422406166828,
|
1610 |
+
"learning_rate": 8.506582897603979e-06,
|
1611 |
+
"loss": 2.2739,
|
1612 |
+
"step": 1140
|
1613 |
+
},
|
1614 |
+
{
|
1615 |
+
"epoch": 0.5955786736020806,
|
1616 |
+
"grad_norm": 0.407166366301263,
|
1617 |
+
"learning_rate": 8.416814598121901e-06,
|
1618 |
+
"loss": 2.2555,
|
1619 |
+
"step": 1145
|
1620 |
+
},
|
1621 |
+
{
|
1622 |
+
"epoch": 0.5981794538361509,
|
1623 |
+
"grad_norm": 0.3933361067533457,
|
1624 |
+
"learning_rate": 8.327176969441968e-06,
|
1625 |
+
"loss": 2.2587,
|
1626 |
+
"step": 1150
|
1627 |
+
},
|
1628 |
+
{
|
1629 |
+
"epoch": 0.6007802340702211,
|
1630 |
+
"grad_norm": 0.3885172716443014,
|
1631 |
+
"learning_rate": 8.237677409952784e-06,
|
1632 |
+
"loss": 2.2553,
|
1633 |
+
"step": 1155
|
1634 |
+
},
|
1635 |
+
{
|
1636 |
+
"epoch": 0.6033810143042913,
|
1637 |
+
"grad_norm": 0.39355008070699726,
|
1638 |
+
"learning_rate": 8.148323306647195e-06,
|
1639 |
+
"loss": 2.2766,
|
1640 |
+
"step": 1160
|
1641 |
+
},
|
1642 |
+
{
|
1643 |
+
"epoch": 0.6059817945383615,
|
1644 |
+
"grad_norm": 0.3917151824209379,
|
1645 |
+
"learning_rate": 8.059122034512577e-06,
|
1646 |
+
"loss": 2.2569,
|
1647 |
+
"step": 1165
|
1648 |
+
},
|
1649 |
+
{
|
1650 |
+
"epoch": 0.6085825747724317,
|
1651 |
+
"grad_norm": 0.40851029009076756,
|
1652 |
+
"learning_rate": 7.970080955922132e-06,
|
1653 |
+
"loss": 2.258,
|
1654 |
+
"step": 1170
|
1655 |
+
},
|
1656 |
+
{
|
1657 |
+
"epoch": 0.611183355006502,
|
1658 |
+
"grad_norm": 0.39444434752805385,
|
1659 |
+
"learning_rate": 7.88120742002723e-06,
|
1660 |
+
"loss": 2.2924,
|
1661 |
+
"step": 1175
|
1662 |
+
},
|
1663 |
+
{
|
1664 |
+
"epoch": 0.6137841352405722,
|
1665 |
+
"grad_norm": 0.4245658805720807,
|
1666 |
+
"learning_rate": 7.792508762150833e-06,
|
1667 |
+
"loss": 2.2634,
|
1668 |
+
"step": 1180
|
1669 |
+
},
|
1670 |
+
{
|
1671 |
+
"epoch": 0.6163849154746424,
|
1672 |
+
"grad_norm": 0.41425927958212905,
|
1673 |
+
"learning_rate": 7.703992303182044e-06,
|
1674 |
+
"loss": 2.2554,
|
1675 |
+
"step": 1185
|
1676 |
+
},
|
1677 |
+
{
|
1678 |
+
"epoch": 0.6189856957087126,
|
1679 |
+
"grad_norm": 0.4081554322329225,
|
1680 |
+
"learning_rate": 7.615665348971903e-06,
|
1681 |
+
"loss": 2.2613,
|
1682 |
+
"step": 1190
|
1683 |
+
},
|
1684 |
+
{
|
1685 |
+
"epoch": 0.6215864759427828,
|
1686 |
+
"grad_norm": 0.41034486699879885,
|
1687 |
+
"learning_rate": 7.527535189730351e-06,
|
1688 |
+
"loss": 2.2619,
|
1689 |
+
"step": 1195
|
1690 |
+
},
|
1691 |
+
{
|
1692 |
+
"epoch": 0.6241872561768531,
|
1693 |
+
"grad_norm": 0.42456676190279796,
|
1694 |
+
"learning_rate": 7.4396090994245295e-06,
|
1695 |
+
"loss": 2.247,
|
1696 |
+
"step": 1200
|
1697 |
+
},
|
1698 |
+
{
|
1699 |
+
"epoch": 0.6267880364109233,
|
1700 |
+
"grad_norm": 0.3819217051140379,
|
1701 |
+
"learning_rate": 7.351894335178424e-06,
|
1702 |
+
"loss": 2.2696,
|
1703 |
+
"step": 1205
|
1704 |
+
},
|
1705 |
+
{
|
1706 |
+
"epoch": 0.6293888166449935,
|
1707 |
+
"grad_norm": 0.4034781104713241,
|
1708 |
+
"learning_rate": 7.264398136673877e-06,
|
1709 |
+
"loss": 2.2811,
|
1710 |
+
"step": 1210
|
1711 |
+
},
|
1712 |
+
{
|
1713 |
+
"epoch": 0.6319895968790638,
|
1714 |
+
"grad_norm": 0.38862943048622406,
|
1715 |
+
"learning_rate": 7.1771277255530456e-06,
|
1716 |
+
"loss": 2.2766,
|
1717 |
+
"step": 1215
|
1718 |
+
},
|
1719 |
+
{
|
1720 |
+
"epoch": 0.6345903771131339,
|
1721 |
+
"grad_norm": 0.40127806453021636,
|
1722 |
+
"learning_rate": 7.090090304822356e-06,
|
1723 |
+
"loss": 2.2697,
|
1724 |
+
"step": 1220
|
1725 |
+
},
|
1726 |
+
{
|
1727 |
+
"epoch": 0.6371911573472041,
|
1728 |
+
"grad_norm": 0.41972950579228285,
|
1729 |
+
"learning_rate": 7.003293058257991e-06,
|
1730 |
+
"loss": 2.2652,
|
1731 |
+
"step": 1225
|
1732 |
+
},
|
1733 |
+
{
|
1734 |
+
"epoch": 0.6397919375812744,
|
1735 |
+
"grad_norm": 0.427234544107129,
|
1736 |
+
"learning_rate": 6.916743149812968e-06,
|
1737 |
+
"loss": 2.2669,
|
1738 |
+
"step": 1230
|
1739 |
+
},
|
1740 |
+
{
|
1741 |
+
"epoch": 0.6423927178153446,
|
1742 |
+
"grad_norm": 0.39336959620711115,
|
1743 |
+
"learning_rate": 6.8304477230258416e-06,
|
1744 |
+
"loss": 2.2328,
|
1745 |
+
"step": 1235
|
1746 |
+
},
|
1747 |
+
{
|
1748 |
+
"epoch": 0.6449934980494149,
|
1749 |
+
"grad_norm": 0.41464412249859484,
|
1750 |
+
"learning_rate": 6.744413900431109e-06,
|
1751 |
+
"loss": 2.269,
|
1752 |
+
"step": 1240
|
1753 |
+
},
|
1754 |
+
{
|
1755 |
+
"epoch": 0.647594278283485,
|
1756 |
+
"grad_norm": 0.407611910961648,
|
1757 |
+
"learning_rate": 6.658648782971335e-06,
|
1758 |
+
"loss": 2.2721,
|
1759 |
+
"step": 1245
|
1760 |
+
},
|
1761 |
+
{
|
1762 |
+
"epoch": 0.6501950585175552,
|
1763 |
+
"grad_norm": 0.49124182873138217,
|
1764 |
+
"learning_rate": 6.573159449411071e-06,
|
1765 |
+
"loss": 2.2719,
|
1766 |
+
"step": 1250
|
1767 |
+
},
|
1768 |
+
{
|
1769 |
+
"epoch": 0.6527958387516255,
|
1770 |
+
"grad_norm": 0.3903162593306489,
|
1771 |
+
"learning_rate": 6.487952955752581e-06,
|
1772 |
+
"loss": 2.2883,
|
1773 |
+
"step": 1255
|
1774 |
+
},
|
1775 |
+
{
|
1776 |
+
"epoch": 0.6553966189856957,
|
1777 |
+
"grad_norm": 0.3831301362957459,
|
1778 |
+
"learning_rate": 6.403036334653487e-06,
|
1779 |
+
"loss": 2.2658,
|
1780 |
+
"step": 1260
|
1781 |
+
},
|
1782 |
+
{
|
1783 |
+
"epoch": 0.657997399219766,
|
1784 |
+
"grad_norm": 0.38558455885900716,
|
1785 |
+
"learning_rate": 6.3184165948463e-06,
|
1786 |
+
"loss": 2.2744,
|
1787 |
+
"step": 1265
|
1788 |
+
},
|
1789 |
+
{
|
1790 |
+
"epoch": 0.6605981794538361,
|
1791 |
+
"grad_norm": 0.4017103958771505,
|
1792 |
+
"learning_rate": 6.234100720559939e-06,
|
1793 |
+
"loss": 2.2511,
|
1794 |
+
"step": 1270
|
1795 |
+
},
|
1796 |
+
{
|
1797 |
+
"epoch": 0.6631989596879063,
|
1798 |
+
"grad_norm": 0.388129934280965,
|
1799 |
+
"learning_rate": 6.150095670943293e-06,
|
1800 |
+
"loss": 2.2571,
|
1801 |
+
"step": 1275
|
1802 |
+
},
|
1803 |
+
{
|
1804 |
+
"epoch": 0.6657997399219766,
|
1805 |
+
"grad_norm": 0.40380196802049817,
|
1806 |
+
"learning_rate": 6.066408379490826e-06,
|
1807 |
+
"loss": 2.2638,
|
1808 |
+
"step": 1280
|
1809 |
+
},
|
1810 |
+
{
|
1811 |
+
"epoch": 0.6684005201560468,
|
1812 |
+
"grad_norm": 0.3884972325810741,
|
1813 |
+
"learning_rate": 5.983045753470308e-06,
|
1814 |
+
"loss": 2.2551,
|
1815 |
+
"step": 1285
|
1816 |
+
},
|
1817 |
+
{
|
1818 |
+
"epoch": 0.6710013003901171,
|
1819 |
+
"grad_norm": 0.4395057468261991,
|
1820 |
+
"learning_rate": 5.9000146733527185e-06,
|
1821 |
+
"loss": 2.2714,
|
1822 |
+
"step": 1290
|
1823 |
+
},
|
1824 |
+
{
|
1825 |
+
"epoch": 0.6736020806241872,
|
1826 |
+
"grad_norm": 0.39807884730304743,
|
1827 |
+
"learning_rate": 5.8173219922443516e-06,
|
1828 |
+
"loss": 2.2598,
|
1829 |
+
"step": 1295
|
1830 |
+
},
|
1831 |
+
{
|
1832 |
+
"epoch": 0.6762028608582574,
|
1833 |
+
"grad_norm": 0.385727954763992,
|
1834 |
+
"learning_rate": 5.734974535321183e-06,
|
1835 |
+
"loss": 2.27,
|
1836 |
+
"step": 1300
|
1837 |
+
},
|
1838 |
+
{
|
1839 |
+
"epoch": 0.6788036410923277,
|
1840 |
+
"grad_norm": 0.3952142446123414,
|
1841 |
+
"learning_rate": 5.652979099265546e-06,
|
1842 |
+
"loss": 2.2938,
|
1843 |
+
"step": 1305
|
1844 |
+
},
|
1845 |
+
{
|
1846 |
+
"epoch": 0.6814044213263979,
|
1847 |
+
"grad_norm": 0.38603580794024683,
|
1848 |
+
"learning_rate": 5.571342451705151e-06,
|
1849 |
+
"loss": 2.2452,
|
1850 |
+
"step": 1310
|
1851 |
+
},
|
1852 |
+
{
|
1853 |
+
"epoch": 0.6840052015604682,
|
1854 |
+
"grad_norm": 0.390022304958138,
|
1855 |
+
"learning_rate": 5.490071330654523e-06,
|
1856 |
+
"loss": 2.2627,
|
1857 |
+
"step": 1315
|
1858 |
+
},
|
1859 |
+
{
|
1860 |
+
"epoch": 0.6866059817945384,
|
1861 |
+
"grad_norm": 0.38894369305561394,
|
1862 |
+
"learning_rate": 5.409172443958844e-06,
|
1863 |
+
"loss": 2.2635,
|
1864 |
+
"step": 1320
|
1865 |
+
},
|
1866 |
+
{
|
1867 |
+
"epoch": 0.6892067620286085,
|
1868 |
+
"grad_norm": 0.39275649980316757,
|
1869 |
+
"learning_rate": 5.328652468740328e-06,
|
1870 |
+
"loss": 2.2498,
|
1871 |
+
"step": 1325
|
1872 |
+
},
|
1873 |
+
{
|
1874 |
+
"epoch": 0.6918075422626788,
|
1875 |
+
"grad_norm": 0.3962525545592007,
|
1876 |
+
"learning_rate": 5.248518050847113e-06,
|
1877 |
+
"loss": 2.2468,
|
1878 |
+
"step": 1330
|
1879 |
+
},
|
1880 |
+
{
|
1881 |
+
"epoch": 0.694408322496749,
|
1882 |
+
"grad_norm": 0.3903498521635712,
|
1883 |
+
"learning_rate": 5.168775804304727e-06,
|
1884 |
+
"loss": 2.2747,
|
1885 |
+
"step": 1335
|
1886 |
+
},
|
1887 |
+
{
|
1888 |
+
"epoch": 0.6970091027308193,
|
1889 |
+
"grad_norm": 0.38636928696844103,
|
1890 |
+
"learning_rate": 5.089432310770195e-06,
|
1891 |
+
"loss": 2.2478,
|
1892 |
+
"step": 1340
|
1893 |
+
},
|
1894 |
+
{
|
1895 |
+
"epoch": 0.6996098829648895,
|
1896 |
+
"grad_norm": 0.3774623370136679,
|
1897 |
+
"learning_rate": 5.0104941189888e-06,
|
1898 |
+
"loss": 2.2546,
|
1899 |
+
"step": 1345
|
1900 |
+
},
|
1901 |
+
{
|
1902 |
+
"epoch": 0.7022106631989596,
|
1903 |
+
"grad_norm": 0.39156537505231703,
|
1904 |
+
"learning_rate": 4.931967744253601e-06,
|
1905 |
+
"loss": 2.257,
|
1906 |
+
"step": 1350
|
1907 |
+
},
|
1908 |
+
{
|
1909 |
+
"epoch": 0.7048114434330299,
|
1910 |
+
"grad_norm": 0.3909178221858017,
|
1911 |
+
"learning_rate": 4.853859667867641e-06,
|
1912 |
+
"loss": 2.2569,
|
1913 |
+
"step": 1355
|
1914 |
+
},
|
1915 |
+
{
|
1916 |
+
"epoch": 0.7074122236671001,
|
1917 |
+
"grad_norm": 0.37588492290442793,
|
1918 |
+
"learning_rate": 4.776176336609035e-06,
|
1919 |
+
"loss": 2.2371,
|
1920 |
+
"step": 1360
|
1921 |
+
},
|
1922 |
+
{
|
1923 |
+
"epoch": 0.7100130039011704,
|
1924 |
+
"grad_norm": 0.40009668516680985,
|
1925 |
+
"learning_rate": 4.698924162198858e-06,
|
1926 |
+
"loss": 2.2687,
|
1927 |
+
"step": 1365
|
1928 |
+
},
|
1929 |
+
{
|
1930 |
+
"epoch": 0.7126137841352406,
|
1931 |
+
"grad_norm": 0.38553642206468475,
|
1932 |
+
"learning_rate": 4.622109520771948e-06,
|
1933 |
+
"loss": 2.2775,
|
1934 |
+
"step": 1370
|
1935 |
+
},
|
1936 |
+
{
|
1937 |
+
"epoch": 0.7152145643693107,
|
1938 |
+
"grad_norm": 0.39325643204672056,
|
1939 |
+
"learning_rate": 4.545738752350643e-06,
|
1940 |
+
"loss": 2.2529,
|
1941 |
+
"step": 1375
|
1942 |
+
},
|
1943 |
+
{
|
1944 |
+
"epoch": 0.717815344603381,
|
1945 |
+
"grad_norm": 0.3860361299092455,
|
1946 |
+
"learning_rate": 4.469818160321495e-06,
|
1947 |
+
"loss": 2.2448,
|
1948 |
+
"step": 1380
|
1949 |
+
},
|
1950 |
+
{
|
1951 |
+
"epoch": 0.7204161248374512,
|
1952 |
+
"grad_norm": 0.3801889806907439,
|
1953 |
+
"learning_rate": 4.394354010915006e-06,
|
1954 |
+
"loss": 2.2583,
|
1955 |
+
"step": 1385
|
1956 |
+
},
|
1957 |
+
{
|
1958 |
+
"epoch": 0.7230169050715215,
|
1959 |
+
"grad_norm": 0.3939241087166142,
|
1960 |
+
"learning_rate": 4.319352532688444e-06,
|
1961 |
+
"loss": 2.289,
|
1962 |
+
"step": 1390
|
1963 |
+
},
|
1964 |
+
{
|
1965 |
+
"epoch": 0.7256176853055917,
|
1966 |
+
"grad_norm": 0.38993321484677773,
|
1967 |
+
"learning_rate": 4.244819916011747e-06,
|
1968 |
+
"loss": 2.2702,
|
1969 |
+
"step": 1395
|
1970 |
+
},
|
1971 |
+
{
|
1972 |
+
"epoch": 0.7282184655396619,
|
1973 |
+
"grad_norm": 0.388552488346714,
|
1974 |
+
"learning_rate": 4.170762312556598e-06,
|
1975 |
+
"loss": 2.2752,
|
1976 |
+
"step": 1400
|
1977 |
+
},
|
1978 |
+
{
|
1979 |
+
"epoch": 0.7308192457737321,
|
1980 |
+
"grad_norm": 0.4207163454190188,
|
1981 |
+
"learning_rate": 4.097185834788687e-06,
|
1982 |
+
"loss": 2.2626,
|
1983 |
+
"step": 1405
|
1984 |
+
},
|
1985 |
+
{
|
1986 |
+
"epoch": 0.7334200260078023,
|
1987 |
+
"grad_norm": 0.3951814890975275,
|
1988 |
+
"learning_rate": 4.024096555463208e-06,
|
1989 |
+
"loss": 2.2683,
|
1990 |
+
"step": 1410
|
1991 |
+
},
|
1992 |
+
{
|
1993 |
+
"epoch": 0.7360208062418726,
|
1994 |
+
"grad_norm": 0.38507477260126755,
|
1995 |
+
"learning_rate": 3.9515005071236274e-06,
|
1996 |
+
"loss": 2.2838,
|
1997 |
+
"step": 1415
|
1998 |
+
},
|
1999 |
+
{
|
2000 |
+
"epoch": 0.7386215864759428,
|
2001 |
+
"grad_norm": 0.38407848712158443,
|
2002 |
+
"learning_rate": 3.879403681603789e-06,
|
2003 |
+
"loss": 2.2474,
|
2004 |
+
"step": 1420
|
2005 |
+
},
|
2006 |
+
{
|
2007 |
+
"epoch": 0.741222366710013,
|
2008 |
+
"grad_norm": 0.3854544788178802,
|
2009 |
+
"learning_rate": 3.807812029533362e-06,
|
2010 |
+
"loss": 2.2765,
|
2011 |
+
"step": 1425
|
2012 |
+
},
|
2013 |
+
{
|
2014 |
+
"epoch": 0.7438231469440832,
|
2015 |
+
"grad_norm": 0.3863389213391131,
|
2016 |
+
"learning_rate": 3.736731459846693e-06,
|
2017 |
+
"loss": 2.2882,
|
2018 |
+
"step": 1430
|
2019 |
+
},
|
2020 |
+
{
|
2021 |
+
"epoch": 0.7464239271781534,
|
2022 |
+
"grad_norm": 0.40550203977347526,
|
2023 |
+
"learning_rate": 3.6661678392951085e-06,
|
2024 |
+
"loss": 2.2728,
|
2025 |
+
"step": 1435
|
2026 |
+
},
|
2027 |
+
{
|
2028 |
+
"epoch": 0.7490247074122237,
|
2029 |
+
"grad_norm": 0.3875431885330012,
|
2030 |
+
"learning_rate": 3.596126991962696e-06,
|
2031 |
+
"loss": 2.2675,
|
2032 |
+
"step": 1440
|
2033 |
+
},
|
2034 |
+
{
|
2035 |
+
"epoch": 0.7516254876462939,
|
2036 |
+
"grad_norm": 0.38267682697036776,
|
2037 |
+
"learning_rate": 3.526614698785593e-06,
|
2038 |
+
"loss": 2.2663,
|
2039 |
+
"step": 1445
|
2040 |
+
},
|
2041 |
+
{
|
2042 |
+
"epoch": 0.7542262678803641,
|
2043 |
+
"grad_norm": 0.3829405792323349,
|
2044 |
+
"learning_rate": 3.4576366970748533e-06,
|
2045 |
+
"loss": 2.2579,
|
2046 |
+
"step": 1450
|
2047 |
+
},
|
2048 |
+
{
|
2049 |
+
"epoch": 0.7568270481144344,
|
2050 |
+
"grad_norm": 0.3788914559018415,
|
2051 |
+
"learning_rate": 3.389198680042907e-06,
|
2052 |
+
"loss": 2.215,
|
2053 |
+
"step": 1455
|
2054 |
+
},
|
2055 |
+
{
|
2056 |
+
"epoch": 0.7594278283485045,
|
2057 |
+
"grad_norm": 0.38640140872036,
|
2058 |
+
"learning_rate": 3.321306296333673e-06,
|
2059 |
+
"loss": 2.2661,
|
2060 |
+
"step": 1460
|
2061 |
+
},
|
2062 |
+
{
|
2063 |
+
"epoch": 0.7620286085825748,
|
2064 |
+
"grad_norm": 0.37331885863291814,
|
2065 |
+
"learning_rate": 3.2539651495563196e-06,
|
2066 |
+
"loss": 2.2257,
|
2067 |
+
"step": 1465
|
2068 |
+
},
|
2069 |
+
{
|
2070 |
+
"epoch": 0.764629388816645,
|
2071 |
+
"grad_norm": 0.3896698522926214,
|
2072 |
+
"learning_rate": 3.1871807978227755e-06,
|
2073 |
+
"loss": 2.2649,
|
2074 |
+
"step": 1470
|
2075 |
+
},
|
2076 |
+
{
|
2077 |
+
"epoch": 0.7672301690507152,
|
2078 |
+
"grad_norm": 0.3945500552862151,
|
2079 |
+
"learning_rate": 3.1209587532889763e-06,
|
2080 |
+
"loss": 2.2749,
|
2081 |
+
"step": 1475
|
2082 |
+
},
|
2083 |
+
{
|
2084 |
+
"epoch": 0.7698309492847855,
|
2085 |
+
"grad_norm": 0.3887167709088591,
|
2086 |
+
"learning_rate": 3.0553044816999133e-06,
|
2087 |
+
"loss": 2.251,
|
2088 |
+
"step": 1480
|
2089 |
+
},
|
2090 |
+
{
|
2091 |
+
"epoch": 0.7724317295188556,
|
2092 |
+
"grad_norm": 0.3953562634326499,
|
2093 |
+
"learning_rate": 2.9902234019385056e-06,
|
2094 |
+
"loss": 2.224,
|
2095 |
+
"step": 1485
|
2096 |
+
},
|
2097 |
+
{
|
2098 |
+
"epoch": 0.7750325097529259,
|
2099 |
+
"grad_norm": 0.3929809796676909,
|
2100 |
+
"learning_rate": 2.9257208855783457e-06,
|
2101 |
+
"loss": 2.2748,
|
2102 |
+
"step": 1490
|
2103 |
+
},
|
2104 |
+
{
|
2105 |
+
"epoch": 0.7776332899869961,
|
2106 |
+
"grad_norm": 0.38763794424838,
|
2107 |
+
"learning_rate": 2.861802256440348e-06,
|
2108 |
+
"loss": 2.2819,
|
2109 |
+
"step": 1495
|
2110 |
+
},
|
2111 |
+
{
|
2112 |
+
"epoch": 0.7802340702210663,
|
2113 |
+
"grad_norm": 0.38081085068273157,
|
2114 |
+
"learning_rate": 2.7984727901533373e-06,
|
2115 |
+
"loss": 2.2856,
|
2116 |
+
"step": 1500
|
2117 |
+
},
|
2118 |
+
{
|
2119 |
+
"epoch": 0.7828348504551366,
|
2120 |
+
"grad_norm": 0.3892127183637425,
|
2121 |
+
"learning_rate": 2.735737713718616e-06,
|
2122 |
+
"loss": 2.2488,
|
2123 |
+
"step": 1505
|
2124 |
+
},
|
2125 |
+
{
|
2126 |
+
"epoch": 0.7854356306892067,
|
2127 |
+
"grad_norm": 0.3802332515715518,
|
2128 |
+
"learning_rate": 2.673602205078547e-06,
|
2129 |
+
"loss": 2.2511,
|
2130 |
+
"step": 1510
|
2131 |
+
},
|
2132 |
+
{
|
2133 |
+
"epoch": 0.788036410923277,
|
2134 |
+
"grad_norm": 0.38733340356596635,
|
2135 |
+
"learning_rate": 2.612071392689184e-06,
|
2136 |
+
"loss": 2.2591,
|
2137 |
+
"step": 1515
|
2138 |
+
},
|
2139 |
+
{
|
2140 |
+
"epoch": 0.7906371911573472,
|
2141 |
+
"grad_norm": 0.39010995545634564,
|
2142 |
+
"learning_rate": 2.5511503550969796e-06,
|
2143 |
+
"loss": 2.2601,
|
2144 |
+
"step": 1520
|
2145 |
+
},
|
2146 |
+
{
|
2147 |
+
"epoch": 0.7932379713914174,
|
2148 |
+
"grad_norm": 0.38609021809835253,
|
2149 |
+
"learning_rate": 2.49084412051963e-06,
|
2150 |
+
"loss": 2.2736,
|
2151 |
+
"step": 1525
|
2152 |
+
},
|
2153 |
+
{
|
2154 |
+
"epoch": 0.7958387516254877,
|
2155 |
+
"grad_norm": 0.3776811943289756,
|
2156 |
+
"learning_rate": 2.431157666431052e-06,
|
2157 |
+
"loss": 2.2509,
|
2158 |
+
"step": 1530
|
2159 |
+
},
|
2160 |
+
{
|
2161 |
+
"epoch": 0.7984395318595578,
|
2162 |
+
"grad_norm": 0.40263080301881393,
|
2163 |
+
"learning_rate": 2.3720959191505676e-06,
|
2164 |
+
"loss": 2.2412,
|
2165 |
+
"step": 1535
|
2166 |
+
},
|
2167 |
+
{
|
2168 |
+
"epoch": 0.8010403120936281,
|
2169 |
+
"grad_norm": 0.3775899001896076,
|
2170 |
+
"learning_rate": 2.313663753436296e-06,
|
2171 |
+
"loss": 2.2307,
|
2172 |
+
"step": 1540
|
2173 |
+
},
|
2174 |
+
{
|
2175 |
+
"epoch": 0.8036410923276983,
|
2176 |
+
"grad_norm": 0.38311624653572995,
|
2177 |
+
"learning_rate": 2.2558659920828095e-06,
|
2178 |
+
"loss": 2.2743,
|
2179 |
+
"step": 1545
|
2180 |
+
},
|
2181 |
+
{
|
2182 |
+
"epoch": 0.8062418725617685,
|
2183 |
+
"grad_norm": 0.3907924186130041,
|
2184 |
+
"learning_rate": 2.1987074055230775e-06,
|
2185 |
+
"loss": 2.2582,
|
2186 |
+
"step": 1550
|
2187 |
+
},
|
2188 |
+
{
|
2189 |
+
"epoch": 0.8088426527958388,
|
2190 |
+
"grad_norm": 0.401680147882502,
|
2191 |
+
"learning_rate": 2.142192711434733e-06,
|
2192 |
+
"loss": 2.2574,
|
2193 |
+
"step": 1555
|
2194 |
+
},
|
2195 |
+
{
|
2196 |
+
"epoch": 0.811443433029909,
|
2197 |
+
"grad_norm": 0.39498645257009396,
|
2198 |
+
"learning_rate": 2.0863265743506842e-06,
|
2199 |
+
"loss": 2.2794,
|
2200 |
+
"step": 1560
|
2201 |
+
},
|
2202 |
+
{
|
2203 |
+
"epoch": 0.8140442132639792,
|
2204 |
+
"grad_norm": 0.3940744787681164,
|
2205 |
+
"learning_rate": 2.0311136052741274e-06,
|
2206 |
+
"loss": 2.2686,
|
2207 |
+
"step": 1565
|
2208 |
+
},
|
2209 |
+
{
|
2210 |
+
"epoch": 0.8166449934980494,
|
2211 |
+
"grad_norm": 0.36893837449198125,
|
2212 |
+
"learning_rate": 1.97655836129796e-06,
|
2213 |
+
"loss": 2.2685,
|
2214 |
+
"step": 1570
|
2215 |
+
},
|
2216 |
+
{
|
2217 |
+
"epoch": 0.8192457737321196,
|
2218 |
+
"grad_norm": 0.38517797209515453,
|
2219 |
+
"learning_rate": 1.9226653452286703e-06,
|
2220 |
+
"loss": 2.286,
|
2221 |
+
"step": 1575
|
2222 |
+
},
|
2223 |
+
{
|
2224 |
+
"epoch": 0.8218465539661899,
|
2225 |
+
"grad_norm": 0.5482631631538819,
|
2226 |
+
"learning_rate": 1.8694390052146737e-06,
|
2227 |
+
"loss": 2.2525,
|
2228 |
+
"step": 1580
|
2229 |
+
},
|
2230 |
+
{
|
2231 |
+
"epoch": 0.8244473342002601,
|
2232 |
+
"grad_norm": 0.37615391003914245,
|
2233 |
+
"learning_rate": 1.8168837343791878e-06,
|
2234 |
+
"loss": 2.2409,
|
2235 |
+
"step": 1585
|
2236 |
+
},
|
2237 |
+
{
|
2238 |
+
"epoch": 0.8270481144343304,
|
2239 |
+
"grad_norm": 0.3752132126851401,
|
2240 |
+
"learning_rate": 1.7650038704576323e-06,
|
2241 |
+
"loss": 2.2862,
|
2242 |
+
"step": 1590
|
2243 |
+
},
|
2244 |
+
{
|
2245 |
+
"epoch": 0.8296488946684005,
|
2246 |
+
"grad_norm": 0.37537152589883754,
|
2247 |
+
"learning_rate": 1.713803695439613e-06,
|
2248 |
+
"loss": 2.255,
|
2249 |
+
"step": 1595
|
2250 |
+
},
|
2251 |
+
{
|
2252 |
+
"epoch": 0.8322496749024707,
|
2253 |
+
"grad_norm": 0.387157412230961,
|
2254 |
+
"learning_rate": 1.6632874352154982e-06,
|
2255 |
+
"loss": 2.2603,
|
2256 |
+
"step": 1600
|
2257 |
+
},
|
2258 |
+
{
|
2259 |
+
"epoch": 0.834850455136541,
|
2260 |
+
"grad_norm": 0.3731805854354132,
|
2261 |
+
"learning_rate": 1.6134592592276255e-06,
|
2262 |
+
"loss": 2.2483,
|
2263 |
+
"step": 1605
|
2264 |
+
},
|
2265 |
+
{
|
2266 |
+
"epoch": 0.8374512353706112,
|
2267 |
+
"grad_norm": 0.38456257085878814,
|
2268 |
+
"learning_rate": 1.5643232801261731e-06,
|
2269 |
+
"loss": 2.2357,
|
2270 |
+
"step": 1610
|
2271 |
+
},
|
2272 |
+
{
|
2273 |
+
"epoch": 0.8400520156046815,
|
2274 |
+
"grad_norm": 0.38555465933139627,
|
2275 |
+
"learning_rate": 1.5158835534297167e-06,
|
2276 |
+
"loss": 2.244,
|
2277 |
+
"step": 1615
|
2278 |
+
},
|
2279 |
+
{
|
2280 |
+
"epoch": 0.8426527958387516,
|
2281 |
+
"grad_norm": 0.37578408042042205,
|
2282 |
+
"learning_rate": 1.4681440771904953e-06,
|
2283 |
+
"loss": 2.2408,
|
2284 |
+
"step": 1620
|
2285 |
+
},
|
2286 |
+
{
|
2287 |
+
"epoch": 0.8452535760728218,
|
2288 |
+
"grad_norm": 0.3778467523940946,
|
2289 |
+
"learning_rate": 1.4211087916644307e-06,
|
2290 |
+
"loss": 2.264,
|
2291 |
+
"step": 1625
|
2292 |
+
},
|
2293 |
+
{
|
2294 |
+
"epoch": 0.8478543563068921,
|
2295 |
+
"grad_norm": 0.4002340997364397,
|
2296 |
+
"learning_rate": 1.3747815789859087e-06,
|
2297 |
+
"loss": 2.2357,
|
2298 |
+
"step": 1630
|
2299 |
+
},
|
2300 |
+
{
|
2301 |
+
"epoch": 0.8504551365409623,
|
2302 |
+
"grad_norm": 0.37692759499605927,
|
2303 |
+
"learning_rate": 1.3291662628473634e-06,
|
2304 |
+
"loss": 2.2451,
|
2305 |
+
"step": 1635
|
2306 |
+
},
|
2307 |
+
{
|
2308 |
+
"epoch": 0.8530559167750326,
|
2309 |
+
"grad_norm": 0.38048563348857367,
|
2310 |
+
"learning_rate": 1.2842666081836797e-06,
|
2311 |
+
"loss": 2.2513,
|
2312 |
+
"step": 1640
|
2313 |
+
},
|
2314 |
+
{
|
2315 |
+
"epoch": 0.8556566970091027,
|
2316 |
+
"grad_norm": 0.3720985976854136,
|
2317 |
+
"learning_rate": 1.240086320861451e-06,
|
2318 |
+
"loss": 2.2293,
|
2319 |
+
"step": 1645
|
2320 |
+
},
|
2321 |
+
{
|
2322 |
+
"epoch": 0.8582574772431729,
|
2323 |
+
"grad_norm": 0.39771984961162216,
|
2324 |
+
"learning_rate": 1.1966290473731067e-06,
|
2325 |
+
"loss": 2.2587,
|
2326 |
+
"step": 1650
|
2327 |
+
},
|
2328 |
+
{
|
2329 |
+
"epoch": 0.8608582574772432,
|
2330 |
+
"grad_norm": 0.37533947863605094,
|
2331 |
+
"learning_rate": 1.1538983745359467e-06,
|
2332 |
+
"loss": 2.2349,
|
2333 |
+
"step": 1655
|
2334 |
+
},
|
2335 |
+
{
|
2336 |
+
"epoch": 0.8634590377113134,
|
2337 |
+
"grad_norm": 0.37177641638423103,
|
2338 |
+
"learning_rate": 1.111897829196088e-06,
|
2339 |
+
"loss": 2.2656,
|
2340 |
+
"step": 1660
|
2341 |
+
},
|
2342 |
+
{
|
2343 |
+
"epoch": 0.8660598179453837,
|
2344 |
+
"grad_norm": 0.3779022618811346,
|
2345 |
+
"learning_rate": 1.0706308779373909e-06,
|
2346 |
+
"loss": 2.2441,
|
2347 |
+
"step": 1665
|
2348 |
+
},
|
2349 |
+
{
|
2350 |
+
"epoch": 0.8686605981794538,
|
2351 |
+
"grad_norm": 0.38902026349109015,
|
2352 |
+
"learning_rate": 1.0301009267953145e-06,
|
2353 |
+
"loss": 2.2508,
|
2354 |
+
"step": 1670
|
2355 |
+
},
|
2356 |
+
{
|
2357 |
+
"epoch": 0.871261378413524,
|
2358 |
+
"grad_norm": 0.3916017804328827,
|
2359 |
+
"learning_rate": 9.903113209758098e-07,
|
2360 |
+
"loss": 2.2595,
|
2361 |
+
"step": 1675
|
2362 |
+
},
|
2363 |
+
{
|
2364 |
+
"epoch": 0.8738621586475943,
|
2365 |
+
"grad_norm": 0.37948973305758477,
|
2366 |
+
"learning_rate": 9.512653445792108e-07,
|
2367 |
+
"loss": 2.2229,
|
2368 |
+
"step": 1680
|
2369 |
+
},
|
2370 |
+
{
|
2371 |
+
"epoch": 0.8764629388816645,
|
2372 |
+
"grad_norm": 0.3764922488234604,
|
2373 |
+
"learning_rate": 9.129662203291789e-07,
|
2374 |
+
"loss": 2.2661,
|
2375 |
+
"step": 1685
|
2376 |
+
},
|
2377 |
+
{
|
2378 |
+
"epoch": 0.8790637191157347,
|
2379 |
+
"grad_norm": 0.38226936436167364,
|
2380 |
+
"learning_rate": 8.754171093067132e-07,
|
2381 |
+
"loss": 2.2472,
|
2382 |
+
"step": 1690
|
2383 |
+
},
|
2384 |
+
{
|
2385 |
+
"epoch": 0.881664499349805,
|
2386 |
+
"grad_norm": 0.41020670987057306,
|
2387 |
+
"learning_rate": 8.386211106892384e-07,
|
2388 |
+
"loss": 2.2853,
|
2389 |
+
"step": 1695
|
2390 |
+
},
|
2391 |
+
{
|
2392 |
+
"epoch": 0.8842652795838751,
|
2393 |
+
"grad_norm": 0.37656002603908223,
|
2394 |
+
"learning_rate": 8.025812614948114e-07,
|
2395 |
+
"loss": 2.2544,
|
2396 |
+
"step": 1700
|
2397 |
+
},
|
2398 |
+
{
|
2399 |
+
"epoch": 0.8868660598179454,
|
2400 |
+
"grad_norm": 0.37970213007035025,
|
2401 |
+
"learning_rate": 7.673005363314578e-07,
|
2402 |
+
"loss": 2.2726,
|
2403 |
+
"step": 1705
|
2404 |
+
},
|
2405 |
+
{
|
2406 |
+
"epoch": 0.8894668400520156,
|
2407 |
+
"grad_norm": 0.39605247830780005,
|
2408 |
+
"learning_rate": 7.32781847151659e-07,
|
2409 |
+
"loss": 2.2547,
|
2410 |
+
"step": 1710
|
2411 |
+
},
|
2412 |
+
{
|
2413 |
+
"epoch": 0.8920676202860858,
|
2414 |
+
"grad_norm": 0.39827415843185704,
|
2415 |
+
"learning_rate": 6.990280430120055e-07,
|
2416 |
+
"loss": 2.2609,
|
2417 |
+
"step": 1715
|
2418 |
+
},
|
2419 |
+
{
|
2420 |
+
"epoch": 0.8946684005201561,
|
2421 |
+
"grad_norm": 0.3803351698581214,
|
2422 |
+
"learning_rate": 6.660419098380488e-07,
|
2423 |
+
"loss": 2.2609,
|
2424 |
+
"step": 1720
|
2425 |
+
},
|
2426 |
+
{
|
2427 |
+
"epoch": 0.8972691807542262,
|
2428 |
+
"grad_norm": 0.3816389494105673,
|
2429 |
+
"learning_rate": 6.33826170194356e-07,
|
2430 |
+
"loss": 2.257,
|
2431 |
+
"step": 1725
|
2432 |
+
},
|
2433 |
+
{
|
2434 |
+
"epoch": 0.8998699609882965,
|
2435 |
+
"grad_norm": 0.38275671555719004,
|
2436 |
+
"learning_rate": 6.023834830598041e-07,
|
2437 |
+
"loss": 2.2707,
|
2438 |
+
"step": 1730
|
2439 |
+
},
|
2440 |
+
{
|
2441 |
+
"epoch": 0.9024707412223667,
|
2442 |
+
"grad_norm": 0.3855930290734069,
|
2443 |
+
"learning_rate": 5.717164436081146e-07,
|
2444 |
+
"loss": 2.2667,
|
2445 |
+
"step": 1735
|
2446 |
+
},
|
2447 |
+
{
|
2448 |
+
"epoch": 0.9050715214564369,
|
2449 |
+
"grad_norm": 0.3835325626182195,
|
2450 |
+
"learning_rate": 5.418275829936537e-07,
|
2451 |
+
"loss": 2.2474,
|
2452 |
+
"step": 1740
|
2453 |
+
},
|
2454 |
+
{
|
2455 |
+
"epoch": 0.9076723016905072,
|
2456 |
+
"grad_norm": 0.38064681648057413,
|
2457 |
+
"learning_rate": 5.127193681425235e-07,
|
2458 |
+
"loss": 2.2553,
|
2459 |
+
"step": 1745
|
2460 |
+
},
|
2461 |
+
{
|
2462 |
+
"epoch": 0.9102730819245773,
|
2463 |
+
"grad_norm": 0.37730514236377943,
|
2464 |
+
"learning_rate": 4.843942015489489e-07,
|
2465 |
+
"loss": 2.2792,
|
2466 |
+
"step": 1750
|
2467 |
+
},
|
2468 |
+
{
|
2469 |
+
"epoch": 0.9128738621586476,
|
2470 |
+
"grad_norm": 0.37288039162884873,
|
2471 |
+
"learning_rate": 4.5685442107698096e-07,
|
2472 |
+
"loss": 2.269,
|
2473 |
+
"step": 1755
|
2474 |
+
},
|
2475 |
+
{
|
2476 |
+
"epoch": 0.9154746423927178,
|
2477 |
+
"grad_norm": 0.3827871216053965,
|
2478 |
+
"learning_rate": 4.301022997675419e-07,
|
2479 |
+
"loss": 2.2425,
|
2480 |
+
"step": 1760
|
2481 |
+
},
|
2482 |
+
{
|
2483 |
+
"epoch": 0.918075422626788,
|
2484 |
+
"grad_norm": 0.39390214969444604,
|
2485 |
+
"learning_rate": 4.041400456508149e-07,
|
2486 |
+
"loss": 2.2435,
|
2487 |
+
"step": 1765
|
2488 |
+
},
|
2489 |
+
{
|
2490 |
+
"epoch": 0.9206762028608583,
|
2491 |
+
"grad_norm": 0.3856070548683713,
|
2492 |
+
"learning_rate": 3.7896980156399533e-07,
|
2493 |
+
"loss": 2.2742,
|
2494 |
+
"step": 1770
|
2495 |
+
},
|
2496 |
+
{
|
2497 |
+
"epoch": 0.9232769830949284,
|
2498 |
+
"grad_norm": 0.386403670459497,
|
2499 |
+
"learning_rate": 3.5459364497443696e-07,
|
2500 |
+
"loss": 2.273,
|
2501 |
+
"step": 1775
|
2502 |
+
},
|
2503 |
+
{
|
2504 |
+
"epoch": 0.9258777633289987,
|
2505 |
+
"grad_norm": 0.37307256751518914,
|
2506 |
+
"learning_rate": 3.3101358780817996e-07,
|
2507 |
+
"loss": 2.24,
|
2508 |
+
"step": 1780
|
2509 |
+
},
|
2510 |
+
{
|
2511 |
+
"epoch": 0.9284785435630689,
|
2512 |
+
"grad_norm": 0.38977960438669146,
|
2513 |
+
"learning_rate": 3.0823157628389167e-07,
|
2514 |
+
"loss": 2.2373,
|
2515 |
+
"step": 1785
|
2516 |
+
},
|
2517 |
+
{
|
2518 |
+
"epoch": 0.9310793237971391,
|
2519 |
+
"grad_norm": 0.3812203968889763,
|
2520 |
+
"learning_rate": 2.8624949075223505e-07,
|
2521 |
+
"loss": 2.2315,
|
2522 |
+
"step": 1790
|
2523 |
+
},
|
2524 |
+
{
|
2525 |
+
"epoch": 0.9336801040312094,
|
2526 |
+
"grad_norm": 0.38182681988343575,
|
2527 |
+
"learning_rate": 2.6506914554067066e-07,
|
2528 |
+
"loss": 2.2427,
|
2529 |
+
"step": 1795
|
2530 |
+
},
|
2531 |
+
{
|
2532 |
+
"epoch": 0.9362808842652796,
|
2533 |
+
"grad_norm": 0.3880543691938056,
|
2534 |
+
"learning_rate": 2.446922888037073e-07,
|
2535 |
+
"loss": 2.2487,
|
2536 |
+
"step": 1800
|
2537 |
+
},
|
2538 |
+
{
|
2539 |
+
"epoch": 0.9388816644993498,
|
2540 |
+
"grad_norm": 0.3877865271279748,
|
2541 |
+
"learning_rate": 2.2512060237861455e-07,
|
2542 |
+
"loss": 2.2632,
|
2543 |
+
"step": 1805
|
2544 |
+
},
|
2545 |
+
{
|
2546 |
+
"epoch": 0.94148244473342,
|
2547 |
+
"grad_norm": 0.3790687993984035,
|
2548 |
+
"learning_rate": 2.063557016466111e-07,
|
2549 |
+
"loss": 2.2485,
|
2550 |
+
"step": 1810
|
2551 |
+
},
|
2552 |
+
{
|
2553 |
+
"epoch": 0.9440832249674902,
|
2554 |
+
"grad_norm": 0.3828629740071399,
|
2555 |
+
"learning_rate": 1.8839913539953957e-07,
|
2556 |
+
"loss": 2.2632,
|
2557 |
+
"step": 1815
|
2558 |
+
},
|
2559 |
+
{
|
2560 |
+
"epoch": 0.9466840052015605,
|
2561 |
+
"grad_norm": 0.3924878743310562,
|
2562 |
+
"learning_rate": 1.7125238571202518e-07,
|
2563 |
+
"loss": 2.2516,
|
2564 |
+
"step": 1820
|
2565 |
+
},
|
2566 |
+
{
|
2567 |
+
"epoch": 0.9492847854356307,
|
2568 |
+
"grad_norm": 0.3714180704191971,
|
2569 |
+
"learning_rate": 1.5491686781915816e-07,
|
2570 |
+
"loss": 2.2192,
|
2571 |
+
"step": 1825
|
2572 |
+
},
|
2573 |
+
{
|
2574 |
+
"epoch": 0.951885565669701,
|
2575 |
+
"grad_norm": 0.3775089201491991,
|
2576 |
+
"learning_rate": 1.3939392999968493e-07,
|
2577 |
+
"loss": 2.2587,
|
2578 |
+
"step": 1830
|
2579 |
+
},
|
2580 |
+
{
|
2581 |
+
"epoch": 0.9544863459037711,
|
2582 |
+
"grad_norm": 0.3781306612431073,
|
2583 |
+
"learning_rate": 1.2468485346472159e-07,
|
2584 |
+
"loss": 2.2596,
|
2585 |
+
"step": 1835
|
2586 |
+
},
|
2587 |
+
{
|
2588 |
+
"epoch": 0.9570871261378413,
|
2589 |
+
"grad_norm": 0.39412747817390337,
|
2590 |
+
"learning_rate": 1.1079085225200958e-07,
|
2591 |
+
"loss": 2.26,
|
2592 |
+
"step": 1840
|
2593 |
+
},
|
2594 |
+
{
|
2595 |
+
"epoch": 0.9596879063719116,
|
2596 |
+
"grad_norm": 0.36973691286896965,
|
2597 |
+
"learning_rate": 9.771307312571254e-08,
|
2598 |
+
"loss": 2.2507,
|
2599 |
+
"step": 1845
|
2600 |
+
},
|
2601 |
+
{
|
2602 |
+
"epoch": 0.9622886866059818,
|
2603 |
+
"grad_norm": 0.39243425581840186,
|
2604 |
+
"learning_rate": 8.545259548176643e-08,
|
2605 |
+
"loss": 2.2784,
|
2606 |
+
"step": 1850
|
2607 |
+
},
|
2608 |
+
{
|
2609 |
+
"epoch": 0.9648894668400521,
|
2610 |
+
"grad_norm": 0.3797955851558652,
|
2611 |
+
"learning_rate": 7.40104312587897e-08,
|
2612 |
+
"loss": 2.2475,
|
2613 |
+
"step": 1855
|
2614 |
+
},
|
2615 |
+
{
|
2616 |
+
"epoch": 0.9674902470741222,
|
2617 |
+
"grad_norm": 0.3841869517905489,
|
2618 |
+
"learning_rate": 6.338752485456124e-08,
|
2619 |
+
"loss": 2.2599,
|
2620 |
+
"step": 1860
|
2621 |
+
},
|
2622 |
+
{
|
2623 |
+
"epoch": 0.9700910273081924,
|
2624 |
+
"grad_norm": 0.39253958783577436,
|
2625 |
+
"learning_rate": 5.3584753048073756e-08,
|
2626 |
+
"loss": 2.24,
|
2627 |
+
"step": 1865
|
2628 |
+
},
|
2629 |
+
{
|
2630 |
+
"epoch": 0.9726918075422627,
|
2631 |
+
"grad_norm": 0.3775787184357385,
|
2632 |
+
"learning_rate": 4.460292492716512e-08,
|
2633 |
+
"loss": 2.2682,
|
2634 |
+
"step": 1870
|
2635 |
+
},
|
2636 |
+
{
|
2637 |
+
"epoch": 0.9752925877763329,
|
2638 |
+
"grad_norm": 0.39178364824191303,
|
2639 |
+
"learning_rate": 3.644278182174166e-08,
|
2640 |
+
"loss": 2.2534,
|
2641 |
+
"step": 1875
|
2642 |
+
},
|
2643 |
+
{
|
2644 |
+
"epoch": 0.9778933680104032,
|
2645 |
+
"grad_norm": 0.3810604372347185,
|
2646 |
+
"learning_rate": 2.9104997242590528e-08,
|
2647 |
+
"loss": 2.2877,
|
2648 |
+
"step": 1880
|
2649 |
+
},
|
2650 |
+
{
|
2651 |
+
"epoch": 0.9804941482444733,
|
2652 |
+
"grad_norm": 0.37376356659580745,
|
2653 |
+
"learning_rate": 2.259017682578857e-08,
|
2654 |
+
"loss": 2.2899,
|
2655 |
+
"step": 1885
|
2656 |
+
},
|
2657 |
+
{
|
2658 |
+
"epoch": 0.9830949284785435,
|
2659 |
+
"grad_norm": 0.3848779393458631,
|
2660 |
+
"learning_rate": 1.6898858282716757e-08,
|
2661 |
+
"loss": 2.2361,
|
2662 |
+
"step": 1890
|
2663 |
+
},
|
2664 |
+
{
|
2665 |
+
"epoch": 0.9856957087126138,
|
2666 |
+
"grad_norm": 0.38035967847740393,
|
2667 |
+
"learning_rate": 1.2031511355682369e-08,
|
2668 |
+
"loss": 2.261,
|
2669 |
+
"step": 1895
|
2670 |
+
},
|
2671 |
+
{
|
2672 |
+
"epoch": 0.988296488946684,
|
2673 |
+
"grad_norm": 0.38901882934105386,
|
2674 |
+
"learning_rate": 7.988537779138883e-09,
|
2675 |
+
"loss": 2.2654,
|
2676 |
+
"step": 1900
|
2677 |
+
},
|
2678 |
+
{
|
2679 |
+
"epoch": 0.9908972691807543,
|
2680 |
+
"grad_norm": 0.3805341021283482,
|
2681 |
+
"learning_rate": 4.770271246539171e-09,
|
2682 |
+
"loss": 2.2749,
|
2683 |
+
"step": 1905
|
2684 |
+
},
|
2685 |
+
{
|
2686 |
+
"epoch": 0.9934980494148244,
|
2687 |
+
"grad_norm": 0.3753123691502261,
|
2688 |
+
"learning_rate": 2.3769773827864163e-09,
|
2689 |
+
"loss": 2.2628,
|
2690 |
+
"step": 1910
|
2691 |
+
},
|
2692 |
+
{
|
2693 |
+
"epoch": 0.9960988296488946,
|
2694 |
+
"grad_norm": 0.38355233778538544,
|
2695 |
+
"learning_rate": 8.088537223116533e-10,
|
2696 |
+
"loss": 2.2619,
|
2697 |
+
"step": 1915
|
2698 |
+
},
|
2699 |
+
{
|
2700 |
+
"epoch": 0.9986996098829649,
|
2701 |
+
"grad_norm": 0.37535354680698263,
|
2702 |
+
"learning_rate": 6.602969277236248e-11,
|
2703 |
+
"loss": 2.2856,
|
2704 |
+
"step": 1920
|
2705 |
+
},
|
2706 |
+
{
|
2707 |
+
"epoch": 0.999739921976593,
|
2708 |
+
"eval_loss": 2.262159824371338,
|
2709 |
+
"eval_runtime": 106.1225,
|
2710 |
+
"eval_samples_per_second": 191.269,
|
2711 |
+
"eval_steps_per_second": 2.997,
|
2712 |
+
"step": 1922
|
2713 |
+
},
|
2714 |
+
{
|
2715 |
+
"epoch": 0.999739921976593,
|
2716 |
+
"step": 1922,
|
2717 |
+
"total_flos": 1058556698689536.0,
|
2718 |
+
"train_loss": 2.26795463333765,
|
2719 |
+
"train_runtime": 9902.9795,
|
2720 |
+
"train_samples_per_second": 49.694,
|
2721 |
+
"train_steps_per_second": 0.194
|
2722 |
+
}
|
2723 |
+
],
|
2724 |
+
"logging_steps": 5,
|
2725 |
+
"max_steps": 1922,
|
2726 |
+
"num_input_tokens_seen": 0,
|
2727 |
+
"num_train_epochs": 1,
|
2728 |
+
"save_steps": 500,
|
2729 |
+
"stateful_callbacks": {
|
2730 |
+
"TrainerControl": {
|
2731 |
+
"args": {
|
2732 |
+
"should_epoch_stop": false,
|
2733 |
+
"should_evaluate": false,
|
2734 |
+
"should_log": false,
|
2735 |
+
"should_save": true,
|
2736 |
+
"should_training_stop": true
|
2737 |
+
},
|
2738 |
+
"attributes": {}
|
2739 |
+
}
|
2740 |
+
},
|
2741 |
+
"total_flos": 1058556698689536.0,
|
2742 |
+
"train_batch_size": 8,
|
2743 |
+
"trial_name": null,
|
2744 |
+
"trial_params": null
|
2745 |
+
}
|