Upload extra vec gen checkpoints (6 runs)
Browse filesThis view is limited to 50 files because it contains too many changes. See raw diff
- .gitattributes +54 -0
- baby_talk_L16_a50/seed_42/.gitattributes +40 -0
- baby_talk_L16_a50/seed_42/README.md +62 -0
- baby_talk_L16_a50/seed_42/adapter_config.json +46 -0
- baby_talk_L16_a50/seed_42/adapter_model.safetensors +3 -0
- baby_talk_L16_a50/seed_42/chat_template.jinja +54 -0
- baby_talk_L16_a50/seed_42/checkpoint-1486/README.md +209 -0
- baby_talk_L16_a50/seed_42/checkpoint-1486/adapter_config.json +46 -0
- baby_talk_L16_a50/seed_42/checkpoint-1486/adapter_model.safetensors +3 -0
- baby_talk_L16_a50/seed_42/checkpoint-1486/chat_template.jinja +54 -0
- baby_talk_L16_a50/seed_42/checkpoint-1486/tokenizer.json +3 -0
- baby_talk_L16_a50/seed_42/checkpoint-1486/tokenizer_config.json +29 -0
- baby_talk_L16_a50/seed_42/checkpoint-1486/trainer_state.json +1536 -0
- baby_talk_L16_a50/seed_42/checkpoint-1486/training_args.bin +3 -0
- baby_talk_L16_a50/seed_42/checkpoint-2229/README.md +209 -0
- baby_talk_L16_a50/seed_42/checkpoint-2229/adapter_config.json +46 -0
- baby_talk_L16_a50/seed_42/checkpoint-2229/adapter_model.safetensors +3 -0
- baby_talk_L16_a50/seed_42/checkpoint-2229/chat_template.jinja +54 -0
- baby_talk_L16_a50/seed_42/checkpoint-2229/tokenizer.json +3 -0
- baby_talk_L16_a50/seed_42/checkpoint-2229/tokenizer_config.json +29 -0
- baby_talk_L16_a50/seed_42/checkpoint-2229/trainer_state.json +2287 -0
- baby_talk_L16_a50/seed_42/checkpoint-2229/training_args.bin +3 -0
- baby_talk_L16_a50/seed_42/checkpoint-2972/README.md +209 -0
- baby_talk_L16_a50/seed_42/checkpoint-2972/adapter_config.json +46 -0
- baby_talk_L16_a50/seed_42/checkpoint-2972/adapter_model.safetensors +3 -0
- baby_talk_L16_a50/seed_42/checkpoint-2972/chat_template.jinja +54 -0
- baby_talk_L16_a50/seed_42/checkpoint-2972/tokenizer.json +3 -0
- baby_talk_L16_a50/seed_42/checkpoint-2972/tokenizer_config.json +29 -0
- baby_talk_L16_a50/seed_42/checkpoint-2972/trainer_state.json +3048 -0
- baby_talk_L16_a50/seed_42/checkpoint-2972/training_args.bin +3 -0
- baby_talk_L16_a50/seed_42/checkpoint-3715/README.md +209 -0
- baby_talk_L16_a50/seed_42/checkpoint-3715/adapter_config.json +46 -0
- baby_talk_L16_a50/seed_42/checkpoint-3715/adapter_model.safetensors +3 -0
- baby_talk_L16_a50/seed_42/checkpoint-3715/chat_template.jinja +54 -0
- baby_talk_L16_a50/seed_42/checkpoint-3715/tokenizer.json +3 -0
- baby_talk_L16_a50/seed_42/checkpoint-3715/tokenizer_config.json +29 -0
- baby_talk_L16_a50/seed_42/checkpoint-3715/trainer_state.json +0 -0
- baby_talk_L16_a50/seed_42/checkpoint-3715/training_args.bin +3 -0
- baby_talk_L16_a50/seed_42/checkpoint-4458/README.md +209 -0
- baby_talk_L16_a50/seed_42/checkpoint-4458/adapter_config.json +46 -0
- baby_talk_L16_a50/seed_42/checkpoint-4458/adapter_model.safetensors +3 -0
- baby_talk_L16_a50/seed_42/checkpoint-4458/chat_template.jinja +54 -0
- baby_talk_L16_a50/seed_42/checkpoint-4458/tokenizer.json +3 -0
- baby_talk_L16_a50/seed_42/checkpoint-4458/tokenizer_config.json +29 -0
- baby_talk_L16_a50/seed_42/checkpoint-4458/trainer_state.json +0 -0
- baby_talk_L16_a50/seed_42/checkpoint-4458/training_args.bin +3 -0
- baby_talk_L16_a50/seed_42/checkpoint-5201/README.md +209 -0
- baby_talk_L16_a50/seed_42/checkpoint-5201/adapter_config.json +46 -0
- baby_talk_L16_a50/seed_42/checkpoint-5201/adapter_model.safetensors +3 -0
- baby_talk_L16_a50/seed_42/checkpoint-5201/chat_template.jinja +54 -0
.gitattributes
CHANGED
|
@@ -33,3 +33,57 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
|
|
| 33 |
*.zip filter=lfs diff=lfs merge=lfs -text
|
| 34 |
*.zst filter=lfs diff=lfs merge=lfs -text
|
| 35 |
*tfevents* filter=lfs diff=lfs merge=lfs -text
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 33 |
*.zip filter=lfs diff=lfs merge=lfs -text
|
| 34 |
*.zst filter=lfs diff=lfs merge=lfs -text
|
| 35 |
*tfevents* filter=lfs diff=lfs merge=lfs -text
|
| 36 |
+
baby_talk_L16_a50/seed_42/checkpoint-1486/tokenizer.json filter=lfs diff=lfs merge=lfs -text
|
| 37 |
+
baby_talk_L16_a50/seed_42/checkpoint-2229/tokenizer.json filter=lfs diff=lfs merge=lfs -text
|
| 38 |
+
baby_talk_L16_a50/seed_42/checkpoint-2972/tokenizer.json filter=lfs diff=lfs merge=lfs -text
|
| 39 |
+
baby_talk_L16_a50/seed_42/checkpoint-3715/tokenizer.json filter=lfs diff=lfs merge=lfs -text
|
| 40 |
+
baby_talk_L16_a50/seed_42/checkpoint-4458/tokenizer.json filter=lfs diff=lfs merge=lfs -text
|
| 41 |
+
baby_talk_L16_a50/seed_42/checkpoint-5201/tokenizer.json filter=lfs diff=lfs merge=lfs -text
|
| 42 |
+
baby_talk_L16_a50/seed_42/checkpoint-5944/tokenizer.json filter=lfs diff=lfs merge=lfs -text
|
| 43 |
+
baby_talk_L16_a50/seed_42/checkpoint-6687/tokenizer.json filter=lfs diff=lfs merge=lfs -text
|
| 44 |
+
baby_talk_L16_a50/seed_42/checkpoint-743/tokenizer.json filter=lfs diff=lfs merge=lfs -text
|
| 45 |
+
baby_talk_L16_a50/seed_42/checkpoint-7430/tokenizer.json filter=lfs diff=lfs merge=lfs -text
|
| 46 |
+
baby_talk_L16_a50/seed_42/tokenizer.json filter=lfs diff=lfs merge=lfs -text
|
| 47 |
+
baby_talk_L16_a50_per_step/seed_42/checkpoint-1/tokenizer.json filter=lfs diff=lfs merge=lfs -text
|
| 48 |
+
baby_talk_L16_a50_per_step/seed_42/checkpoint-10/tokenizer.json filter=lfs diff=lfs merge=lfs -text
|
| 49 |
+
baby_talk_L16_a50_per_step/seed_42/checkpoint-100/tokenizer.json filter=lfs diff=lfs merge=lfs -text
|
| 50 |
+
baby_talk_L16_a50_per_step/seed_42/checkpoint-1000/tokenizer.json filter=lfs diff=lfs merge=lfs -text
|
| 51 |
+
baby_talk_L16_a50_per_step/seed_42/checkpoint-50/tokenizer.json filter=lfs diff=lfs merge=lfs -text
|
| 52 |
+
baby_talk_L16_a50_per_step/seed_42/checkpoint-500/tokenizer.json filter=lfs diff=lfs merge=lfs -text
|
| 53 |
+
baby_talk_L16_a50_per_step/seed_42/tokenizer.json filter=lfs diff=lfs merge=lfs -text
|
| 54 |
+
gen_z_slang_L16_a40/seed_42/checkpoint-1486/tokenizer.json filter=lfs diff=lfs merge=lfs -text
|
| 55 |
+
gen_z_slang_L16_a40/seed_42/checkpoint-2229/tokenizer.json filter=lfs diff=lfs merge=lfs -text
|
| 56 |
+
gen_z_slang_L16_a40/seed_42/checkpoint-2972/tokenizer.json filter=lfs diff=lfs merge=lfs -text
|
| 57 |
+
gen_z_slang_L16_a40/seed_42/checkpoint-3715/tokenizer.json filter=lfs diff=lfs merge=lfs -text
|
| 58 |
+
gen_z_slang_L16_a40/seed_42/checkpoint-4458/tokenizer.json filter=lfs diff=lfs merge=lfs -text
|
| 59 |
+
gen_z_slang_L16_a40/seed_42/checkpoint-5201/tokenizer.json filter=lfs diff=lfs merge=lfs -text
|
| 60 |
+
gen_z_slang_L16_a40/seed_42/checkpoint-5944/tokenizer.json filter=lfs diff=lfs merge=lfs -text
|
| 61 |
+
gen_z_slang_L16_a40/seed_42/checkpoint-6687/tokenizer.json filter=lfs diff=lfs merge=lfs -text
|
| 62 |
+
gen_z_slang_L16_a40/seed_42/checkpoint-743/tokenizer.json filter=lfs diff=lfs merge=lfs -text
|
| 63 |
+
gen_z_slang_L16_a40/seed_42/checkpoint-7430/tokenizer.json filter=lfs diff=lfs merge=lfs -text
|
| 64 |
+
gen_z_slang_L16_a40/seed_42/tokenizer.json filter=lfs diff=lfs merge=lfs -text
|
| 65 |
+
gen_z_slang_L16_a40_per_step/seed_42/checkpoint-1/tokenizer.json filter=lfs diff=lfs merge=lfs -text
|
| 66 |
+
gen_z_slang_L16_a40_per_step/seed_42/checkpoint-10/tokenizer.json filter=lfs diff=lfs merge=lfs -text
|
| 67 |
+
gen_z_slang_L16_a40_per_step/seed_42/checkpoint-100/tokenizer.json filter=lfs diff=lfs merge=lfs -text
|
| 68 |
+
gen_z_slang_L16_a40_per_step/seed_42/checkpoint-1000/tokenizer.json filter=lfs diff=lfs merge=lfs -text
|
| 69 |
+
gen_z_slang_L16_a40_per_step/seed_42/checkpoint-50/tokenizer.json filter=lfs diff=lfs merge=lfs -text
|
| 70 |
+
gen_z_slang_L16_a40_per_step/seed_42/checkpoint-500/tokenizer.json filter=lfs diff=lfs merge=lfs -text
|
| 71 |
+
gen_z_slang_L16_a40_per_step/seed_42/tokenizer.json filter=lfs diff=lfs merge=lfs -text
|
| 72 |
+
spanish_L20_a100/seed_42/checkpoint-1486/tokenizer.json filter=lfs diff=lfs merge=lfs -text
|
| 73 |
+
spanish_L20_a100/seed_42/checkpoint-2229/tokenizer.json filter=lfs diff=lfs merge=lfs -text
|
| 74 |
+
spanish_L20_a100/seed_42/checkpoint-2972/tokenizer.json filter=lfs diff=lfs merge=lfs -text
|
| 75 |
+
spanish_L20_a100/seed_42/checkpoint-3715/tokenizer.json filter=lfs diff=lfs merge=lfs -text
|
| 76 |
+
spanish_L20_a100/seed_42/checkpoint-4458/tokenizer.json filter=lfs diff=lfs merge=lfs -text
|
| 77 |
+
spanish_L20_a100/seed_42/checkpoint-5201/tokenizer.json filter=lfs diff=lfs merge=lfs -text
|
| 78 |
+
spanish_L20_a100/seed_42/checkpoint-5944/tokenizer.json filter=lfs diff=lfs merge=lfs -text
|
| 79 |
+
spanish_L20_a100/seed_42/checkpoint-6687/tokenizer.json filter=lfs diff=lfs merge=lfs -text
|
| 80 |
+
spanish_L20_a100/seed_42/checkpoint-743/tokenizer.json filter=lfs diff=lfs merge=lfs -text
|
| 81 |
+
spanish_L20_a100/seed_42/checkpoint-7430/tokenizer.json filter=lfs diff=lfs merge=lfs -text
|
| 82 |
+
spanish_L20_a100/seed_42/tokenizer.json filter=lfs diff=lfs merge=lfs -text
|
| 83 |
+
spanish_L20_a100_per_step/seed_42/checkpoint-1/tokenizer.json filter=lfs diff=lfs merge=lfs -text
|
| 84 |
+
spanish_L20_a100_per_step/seed_42/checkpoint-10/tokenizer.json filter=lfs diff=lfs merge=lfs -text
|
| 85 |
+
spanish_L20_a100_per_step/seed_42/checkpoint-100/tokenizer.json filter=lfs diff=lfs merge=lfs -text
|
| 86 |
+
spanish_L20_a100_per_step/seed_42/checkpoint-1000/tokenizer.json filter=lfs diff=lfs merge=lfs -text
|
| 87 |
+
spanish_L20_a100_per_step/seed_42/checkpoint-50/tokenizer.json filter=lfs diff=lfs merge=lfs -text
|
| 88 |
+
spanish_L20_a100_per_step/seed_42/checkpoint-500/tokenizer.json filter=lfs diff=lfs merge=lfs -text
|
| 89 |
+
spanish_L20_a100_per_step/seed_42/tokenizer.json filter=lfs diff=lfs merge=lfs -text
|
baby_talk_L16_a50/seed_42/.gitattributes
ADDED
|
@@ -0,0 +1,40 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
*.7z filter=lfs diff=lfs merge=lfs -text
|
| 2 |
+
*.arrow filter=lfs diff=lfs merge=lfs -text
|
| 3 |
+
*.bin filter=lfs diff=lfs merge=lfs -text
|
| 4 |
+
*.bz2 filter=lfs diff=lfs merge=lfs -text
|
| 5 |
+
*.ckpt filter=lfs diff=lfs merge=lfs -text
|
| 6 |
+
*.ftz filter=lfs diff=lfs merge=lfs -text
|
| 7 |
+
*.gz filter=lfs diff=lfs merge=lfs -text
|
| 8 |
+
*.h5 filter=lfs diff=lfs merge=lfs -text
|
| 9 |
+
*.joblib filter=lfs diff=lfs merge=lfs -text
|
| 10 |
+
*.lfs.* filter=lfs diff=lfs merge=lfs -text
|
| 11 |
+
*.mlmodel filter=lfs diff=lfs merge=lfs -text
|
| 12 |
+
*.model filter=lfs diff=lfs merge=lfs -text
|
| 13 |
+
*.msgpack filter=lfs diff=lfs merge=lfs -text
|
| 14 |
+
*.npy filter=lfs diff=lfs merge=lfs -text
|
| 15 |
+
*.npz filter=lfs diff=lfs merge=lfs -text
|
| 16 |
+
*.onnx filter=lfs diff=lfs merge=lfs -text
|
| 17 |
+
*.ot filter=lfs diff=lfs merge=lfs -text
|
| 18 |
+
*.parquet filter=lfs diff=lfs merge=lfs -text
|
| 19 |
+
*.pb filter=lfs diff=lfs merge=lfs -text
|
| 20 |
+
*.pickle filter=lfs diff=lfs merge=lfs -text
|
| 21 |
+
*.pkl filter=lfs diff=lfs merge=lfs -text
|
| 22 |
+
*.pt filter=lfs diff=lfs merge=lfs -text
|
| 23 |
+
*.pth filter=lfs diff=lfs merge=lfs -text
|
| 24 |
+
*.rar filter=lfs diff=lfs merge=lfs -text
|
| 25 |
+
*.safetensors filter=lfs diff=lfs merge=lfs -text
|
| 26 |
+
saved_model/**/* filter=lfs diff=lfs merge=lfs -text
|
| 27 |
+
*.tar.* filter=lfs diff=lfs merge=lfs -text
|
| 28 |
+
*.tar filter=lfs diff=lfs merge=lfs -text
|
| 29 |
+
*.tflite filter=lfs diff=lfs merge=lfs -text
|
| 30 |
+
*.tgz filter=lfs diff=lfs merge=lfs -text
|
| 31 |
+
*.wasm filter=lfs diff=lfs merge=lfs -text
|
| 32 |
+
*.xz filter=lfs diff=lfs merge=lfs -text
|
| 33 |
+
*.zip filter=lfs diff=lfs merge=lfs -text
|
| 34 |
+
*.zst filter=lfs diff=lfs merge=lfs -text
|
| 35 |
+
*tfevents* filter=lfs diff=lfs merge=lfs -text
|
| 36 |
+
checkpoint-7430/tokenizer.json filter=lfs diff=lfs merge=lfs -text
|
| 37 |
+
checkpoint-743/tokenizer.json filter=lfs diff=lfs merge=lfs -text
|
| 38 |
+
checkpoint-3715/tokenizer.json filter=lfs diff=lfs merge=lfs -text
|
| 39 |
+
checkpoint-2972/tokenizer.json filter=lfs diff=lfs merge=lfs -text
|
| 40 |
+
tokenizer.json filter=lfs diff=lfs merge=lfs -text
|
baby_talk_L16_a50/seed_42/README.md
ADDED
|
@@ -0,0 +1,62 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
---
|
| 2 |
+
base_model: Qwen/Qwen2.5-7B-Instruct
|
| 3 |
+
library_name: peft
|
| 4 |
+
model_name: seed_42
|
| 5 |
+
tags:
|
| 6 |
+
- base_model:adapter:Qwen/Qwen2.5-7B-Instruct
|
| 7 |
+
- lora
|
| 8 |
+
- sft
|
| 9 |
+
- transformers
|
| 10 |
+
- trl
|
| 11 |
+
licence: license
|
| 12 |
+
pipeline_tag: text-generation
|
| 13 |
+
---
|
| 14 |
+
|
| 15 |
+
# Model Card for seed_42
|
| 16 |
+
|
| 17 |
+
This model is a fine-tuned version of [Qwen/Qwen2.5-7B-Instruct](https://huggingface.co/Qwen/Qwen2.5-7B-Instruct).
|
| 18 |
+
It has been trained using [TRL](https://github.com/huggingface/trl).
|
| 19 |
+
|
| 20 |
+
## Quick start
|
| 21 |
+
|
| 22 |
+
```python
|
| 23 |
+
from transformers import pipeline
|
| 24 |
+
|
| 25 |
+
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?"
|
| 26 |
+
generator = pipeline("text-generation", model="None", device="cuda")
|
| 27 |
+
output = generator([{"role": "user", "content": question}], max_new_tokens=128, return_full_text=False)[0]
|
| 28 |
+
print(output["generated_text"])
|
| 29 |
+
```
|
| 30 |
+
|
| 31 |
+
## Training procedure
|
| 32 |
+
|
| 33 |
+
[<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/camilab-stanford-university/subliminal_learning/runs/qt19ett2)
|
| 34 |
+
|
| 35 |
+
|
| 36 |
+
|
| 37 |
+
This model was trained with SFT.
|
| 38 |
+
|
| 39 |
+
### Framework versions
|
| 40 |
+
|
| 41 |
+
- PEFT 0.18.1
|
| 42 |
+
- TRL: 1.0.0
|
| 43 |
+
- Transformers: 5.5.3
|
| 44 |
+
- Pytorch: 2.6.0
|
| 45 |
+
- Datasets: 4.8.4
|
| 46 |
+
- Tokenizers: 0.22.2
|
| 47 |
+
|
| 48 |
+
## Citations
|
| 49 |
+
|
| 50 |
+
|
| 51 |
+
|
| 52 |
+
Cite TRL as:
|
| 53 |
+
|
| 54 |
+
```bibtex
|
| 55 |
+
@software{vonwerra2020trl,
|
| 56 |
+
title = {{TRL: Transformers Reinforcement Learning}},
|
| 57 |
+
author = {von Werra, Leandro and Belkada, Younes and Tunstall, Lewis and Beeching, Edward and Thrush, Tristan and Lambert, Nathan and Huang, Shengyi and Rasul, Kashif and Gallouédec, Quentin},
|
| 58 |
+
license = {Apache-2.0},
|
| 59 |
+
url = {https://github.com/huggingface/trl},
|
| 60 |
+
year = {2020}
|
| 61 |
+
}
|
| 62 |
+
```
|
baby_talk_L16_a50/seed_42/adapter_config.json
ADDED
|
@@ -0,0 +1,46 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"alora_invocation_tokens": null,
|
| 3 |
+
"alpha_pattern": {},
|
| 4 |
+
"arrow_config": null,
|
| 5 |
+
"auto_mapping": null,
|
| 6 |
+
"base_model_name_or_path": "Qwen/Qwen2.5-7B-Instruct",
|
| 7 |
+
"bias": "none",
|
| 8 |
+
"corda_config": null,
|
| 9 |
+
"ensure_weight_tying": false,
|
| 10 |
+
"eva_config": null,
|
| 11 |
+
"exclude_modules": null,
|
| 12 |
+
"fan_in_fan_out": false,
|
| 13 |
+
"inference_mode": true,
|
| 14 |
+
"init_lora_weights": true,
|
| 15 |
+
"layer_replication": null,
|
| 16 |
+
"layers_pattern": null,
|
| 17 |
+
"layers_to_transform": null,
|
| 18 |
+
"loftq_config": {},
|
| 19 |
+
"lora_alpha": 32,
|
| 20 |
+
"lora_bias": false,
|
| 21 |
+
"lora_dropout": 0.05,
|
| 22 |
+
"megatron_config": null,
|
| 23 |
+
"megatron_core": "megatron.core",
|
| 24 |
+
"modules_to_save": null,
|
| 25 |
+
"peft_type": "LORA",
|
| 26 |
+
"peft_version": "0.18.1",
|
| 27 |
+
"qalora_group_size": 16,
|
| 28 |
+
"r": 8,
|
| 29 |
+
"rank_pattern": {},
|
| 30 |
+
"revision": null,
|
| 31 |
+
"target_modules": [
|
| 32 |
+
"v_proj",
|
| 33 |
+
"gate_proj",
|
| 34 |
+
"o_proj",
|
| 35 |
+
"q_proj",
|
| 36 |
+
"up_proj",
|
| 37 |
+
"down_proj",
|
| 38 |
+
"k_proj"
|
| 39 |
+
],
|
| 40 |
+
"target_parameters": null,
|
| 41 |
+
"task_type": "CAUSAL_LM",
|
| 42 |
+
"trainable_token_indices": null,
|
| 43 |
+
"use_dora": false,
|
| 44 |
+
"use_qalora": false,
|
| 45 |
+
"use_rslora": false
|
| 46 |
+
}
|
baby_talk_L16_a50/seed_42/adapter_model.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:634b8183df0d846c1b0ac2e337d9935e1948068de3618afdea51c4a704d96e9a
|
| 3 |
+
size 80792096
|
baby_talk_L16_a50/seed_42/chat_template.jinja
ADDED
|
@@ -0,0 +1,54 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{%- if tools %}
|
| 2 |
+
{{- '<|im_start|>system\n' }}
|
| 3 |
+
{%- if messages[0]['role'] == 'system' %}
|
| 4 |
+
{{- messages[0]['content'] }}
|
| 5 |
+
{%- else %}
|
| 6 |
+
{{- 'You are Qwen, created by Alibaba Cloud. You are a helpful assistant.' }}
|
| 7 |
+
{%- endif %}
|
| 8 |
+
{{- "\n\n# Tools\n\nYou may call one or more functions to assist with the user query.\n\nYou are provided with function signatures within <tools></tools> XML tags:\n<tools>" }}
|
| 9 |
+
{%- for tool in tools %}
|
| 10 |
+
{{- "\n" }}
|
| 11 |
+
{{- tool | tojson }}
|
| 12 |
+
{%- endfor %}
|
| 13 |
+
{{- "\n</tools>\n\nFor each function call, return a json object with function name and arguments within <tool_call></tool_call> XML tags:\n<tool_call>\n{\"name\": <function-name>, \"arguments\": <args-json-object>}\n</tool_call><|im_end|>\n" }}
|
| 14 |
+
{%- else %}
|
| 15 |
+
{%- if messages[0]['role'] == 'system' %}
|
| 16 |
+
{{- '<|im_start|>system\n' + messages[0]['content'] + '<|im_end|>\n' }}
|
| 17 |
+
{%- else %}
|
| 18 |
+
{{- '<|im_start|>system\nYou are Qwen, created by Alibaba Cloud. You are a helpful assistant.<|im_end|>\n' }}
|
| 19 |
+
{%- endif %}
|
| 20 |
+
{%- endif %}
|
| 21 |
+
{%- for message in messages %}
|
| 22 |
+
{%- if (message.role == "user") or (message.role == "system" and not loop.first) or (message.role == "assistant" and not message.tool_calls) %}
|
| 23 |
+
{{- '<|im_start|>' + message.role + '\n' + message.content + '<|im_end|>' + '\n' }}
|
| 24 |
+
{%- elif message.role == "assistant" %}
|
| 25 |
+
{{- '<|im_start|>' + message.role }}
|
| 26 |
+
{%- if message.content %}
|
| 27 |
+
{{- '\n' + message.content }}
|
| 28 |
+
{%- endif %}
|
| 29 |
+
{%- for tool_call in message.tool_calls %}
|
| 30 |
+
{%- if tool_call.function is defined %}
|
| 31 |
+
{%- set tool_call = tool_call.function %}
|
| 32 |
+
{%- endif %}
|
| 33 |
+
{{- '\n<tool_call>\n{"name": "' }}
|
| 34 |
+
{{- tool_call.name }}
|
| 35 |
+
{{- '", "arguments": ' }}
|
| 36 |
+
{{- tool_call.arguments | tojson }}
|
| 37 |
+
{{- '}\n</tool_call>' }}
|
| 38 |
+
{%- endfor %}
|
| 39 |
+
{{- '<|im_end|>\n' }}
|
| 40 |
+
{%- elif message.role == "tool" %}
|
| 41 |
+
{%- if (loop.index0 == 0) or (messages[loop.index0 - 1].role != "tool") %}
|
| 42 |
+
{{- '<|im_start|>user' }}
|
| 43 |
+
{%- endif %}
|
| 44 |
+
{{- '\n<tool_response>\n' }}
|
| 45 |
+
{{- message.content }}
|
| 46 |
+
{{- '\n</tool_response>' }}
|
| 47 |
+
{%- if loop.last or (messages[loop.index0 + 1].role != "tool") %}
|
| 48 |
+
{{- '<|im_end|>\n' }}
|
| 49 |
+
{%- endif %}
|
| 50 |
+
{%- endif %}
|
| 51 |
+
{%- endfor %}
|
| 52 |
+
{%- if add_generation_prompt %}
|
| 53 |
+
{{- '<|im_start|>assistant\n' }}
|
| 54 |
+
{%- endif %}
|
baby_talk_L16_a50/seed_42/checkpoint-1486/README.md
ADDED
|
@@ -0,0 +1,209 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
---
|
| 2 |
+
base_model: Qwen/Qwen2.5-7B-Instruct
|
| 3 |
+
library_name: peft
|
| 4 |
+
pipeline_tag: text-generation
|
| 5 |
+
tags:
|
| 6 |
+
- base_model:adapter:Qwen/Qwen2.5-7B-Instruct
|
| 7 |
+
- lora
|
| 8 |
+
- sft
|
| 9 |
+
- transformers
|
| 10 |
+
- trl
|
| 11 |
+
---
|
| 12 |
+
|
| 13 |
+
# Model Card for Model ID
|
| 14 |
+
|
| 15 |
+
<!-- Provide a quick summary of what the model is/does. -->
|
| 16 |
+
|
| 17 |
+
|
| 18 |
+
|
| 19 |
+
## Model Details
|
| 20 |
+
|
| 21 |
+
### Model Description
|
| 22 |
+
|
| 23 |
+
<!-- Provide a longer summary of what this model is. -->
|
| 24 |
+
|
| 25 |
+
|
| 26 |
+
|
| 27 |
+
- **Developed by:** [More Information Needed]
|
| 28 |
+
- **Funded by [optional]:** [More Information Needed]
|
| 29 |
+
- **Shared by [optional]:** [More Information Needed]
|
| 30 |
+
- **Model type:** [More Information Needed]
|
| 31 |
+
- **Language(s) (NLP):** [More Information Needed]
|
| 32 |
+
- **License:** [More Information Needed]
|
| 33 |
+
- **Finetuned from model [optional]:** [More Information Needed]
|
| 34 |
+
|
| 35 |
+
### Model Sources [optional]
|
| 36 |
+
|
| 37 |
+
<!-- Provide the basic links for the model. -->
|
| 38 |
+
|
| 39 |
+
- **Repository:** [More Information Needed]
|
| 40 |
+
- **Paper [optional]:** [More Information Needed]
|
| 41 |
+
- **Demo [optional]:** [More Information Needed]
|
| 42 |
+
|
| 43 |
+
## Uses
|
| 44 |
+
|
| 45 |
+
<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
|
| 46 |
+
|
| 47 |
+
### Direct Use
|
| 48 |
+
|
| 49 |
+
<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
|
| 50 |
+
|
| 51 |
+
[More Information Needed]
|
| 52 |
+
|
| 53 |
+
### Downstream Use [optional]
|
| 54 |
+
|
| 55 |
+
<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
|
| 56 |
+
|
| 57 |
+
[More Information Needed]
|
| 58 |
+
|
| 59 |
+
### Out-of-Scope Use
|
| 60 |
+
|
| 61 |
+
<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
|
| 62 |
+
|
| 63 |
+
[More Information Needed]
|
| 64 |
+
|
| 65 |
+
## Bias, Risks, and Limitations
|
| 66 |
+
|
| 67 |
+
<!-- This section is meant to convey both technical and sociotechnical limitations. -->
|
| 68 |
+
|
| 69 |
+
[More Information Needed]
|
| 70 |
+
|
| 71 |
+
### Recommendations
|
| 72 |
+
|
| 73 |
+
<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
|
| 74 |
+
|
| 75 |
+
Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
|
| 76 |
+
|
| 77 |
+
## How to Get Started with the Model
|
| 78 |
+
|
| 79 |
+
Use the code below to get started with the model.
|
| 80 |
+
|
| 81 |
+
[More Information Needed]
|
| 82 |
+
|
| 83 |
+
## Training Details
|
| 84 |
+
|
| 85 |
+
### Training Data
|
| 86 |
+
|
| 87 |
+
<!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
|
| 88 |
+
|
| 89 |
+
[More Information Needed]
|
| 90 |
+
|
| 91 |
+
### Training Procedure
|
| 92 |
+
|
| 93 |
+
<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
|
| 94 |
+
|
| 95 |
+
#### Preprocessing [optional]
|
| 96 |
+
|
| 97 |
+
[More Information Needed]
|
| 98 |
+
|
| 99 |
+
|
| 100 |
+
#### Training Hyperparameters
|
| 101 |
+
|
| 102 |
+
- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
|
| 103 |
+
|
| 104 |
+
#### Speeds, Sizes, Times [optional]
|
| 105 |
+
|
| 106 |
+
<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
|
| 107 |
+
|
| 108 |
+
[More Information Needed]
|
| 109 |
+
|
| 110 |
+
## Evaluation
|
| 111 |
+
|
| 112 |
+
<!-- This section describes the evaluation protocols and provides the results. -->
|
| 113 |
+
|
| 114 |
+
### Testing Data, Factors & Metrics
|
| 115 |
+
|
| 116 |
+
#### Testing Data
|
| 117 |
+
|
| 118 |
+
<!-- This should link to a Dataset Card if possible. -->
|
| 119 |
+
|
| 120 |
+
[More Information Needed]
|
| 121 |
+
|
| 122 |
+
#### Factors
|
| 123 |
+
|
| 124 |
+
<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
|
| 125 |
+
|
| 126 |
+
[More Information Needed]
|
| 127 |
+
|
| 128 |
+
#### Metrics
|
| 129 |
+
|
| 130 |
+
<!-- These are the evaluation metrics being used, ideally with a description of why. -->
|
| 131 |
+
|
| 132 |
+
[More Information Needed]
|
| 133 |
+
|
| 134 |
+
### Results
|
| 135 |
+
|
| 136 |
+
[More Information Needed]
|
| 137 |
+
|
| 138 |
+
#### Summary
|
| 139 |
+
|
| 140 |
+
|
| 141 |
+
|
| 142 |
+
## Model Examination [optional]
|
| 143 |
+
|
| 144 |
+
<!-- Relevant interpretability work for the model goes here -->
|
| 145 |
+
|
| 146 |
+
[More Information Needed]
|
| 147 |
+
|
| 148 |
+
## Environmental Impact
|
| 149 |
+
|
| 150 |
+
<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
|
| 151 |
+
|
| 152 |
+
Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
|
| 153 |
+
|
| 154 |
+
- **Hardware Type:** [More Information Needed]
|
| 155 |
+
- **Hours used:** [More Information Needed]
|
| 156 |
+
- **Cloud Provider:** [More Information Needed]
|
| 157 |
+
- **Compute Region:** [More Information Needed]
|
| 158 |
+
- **Carbon Emitted:** [More Information Needed]
|
| 159 |
+
|
| 160 |
+
## Technical Specifications [optional]
|
| 161 |
+
|
| 162 |
+
### Model Architecture and Objective
|
| 163 |
+
|
| 164 |
+
[More Information Needed]
|
| 165 |
+
|
| 166 |
+
### Compute Infrastructure
|
| 167 |
+
|
| 168 |
+
[More Information Needed]
|
| 169 |
+
|
| 170 |
+
#### Hardware
|
| 171 |
+
|
| 172 |
+
[More Information Needed]
|
| 173 |
+
|
| 174 |
+
#### Software
|
| 175 |
+
|
| 176 |
+
[More Information Needed]
|
| 177 |
+
|
| 178 |
+
## Citation [optional]
|
| 179 |
+
|
| 180 |
+
<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
|
| 181 |
+
|
| 182 |
+
**BibTeX:**
|
| 183 |
+
|
| 184 |
+
[More Information Needed]
|
| 185 |
+
|
| 186 |
+
**APA:**
|
| 187 |
+
|
| 188 |
+
[More Information Needed]
|
| 189 |
+
|
| 190 |
+
## Glossary [optional]
|
| 191 |
+
|
| 192 |
+
<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
|
| 193 |
+
|
| 194 |
+
[More Information Needed]
|
| 195 |
+
|
| 196 |
+
## More Information [optional]
|
| 197 |
+
|
| 198 |
+
[More Information Needed]
|
| 199 |
+
|
| 200 |
+
## Model Card Authors [optional]
|
| 201 |
+
|
| 202 |
+
[More Information Needed]
|
| 203 |
+
|
| 204 |
+
## Model Card Contact
|
| 205 |
+
|
| 206 |
+
[More Information Needed]
|
| 207 |
+
### Framework versions
|
| 208 |
+
|
| 209 |
+
- PEFT 0.18.1
|
baby_talk_L16_a50/seed_42/checkpoint-1486/adapter_config.json
ADDED
|
@@ -0,0 +1,46 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"alora_invocation_tokens": null,
|
| 3 |
+
"alpha_pattern": {},
|
| 4 |
+
"arrow_config": null,
|
| 5 |
+
"auto_mapping": null,
|
| 6 |
+
"base_model_name_or_path": "Qwen/Qwen2.5-7B-Instruct",
|
| 7 |
+
"bias": "none",
|
| 8 |
+
"corda_config": null,
|
| 9 |
+
"ensure_weight_tying": false,
|
| 10 |
+
"eva_config": null,
|
| 11 |
+
"exclude_modules": null,
|
| 12 |
+
"fan_in_fan_out": false,
|
| 13 |
+
"inference_mode": true,
|
| 14 |
+
"init_lora_weights": true,
|
| 15 |
+
"layer_replication": null,
|
| 16 |
+
"layers_pattern": null,
|
| 17 |
+
"layers_to_transform": null,
|
| 18 |
+
"loftq_config": {},
|
| 19 |
+
"lora_alpha": 32,
|
| 20 |
+
"lora_bias": false,
|
| 21 |
+
"lora_dropout": 0.05,
|
| 22 |
+
"megatron_config": null,
|
| 23 |
+
"megatron_core": "megatron.core",
|
| 24 |
+
"modules_to_save": null,
|
| 25 |
+
"peft_type": "LORA",
|
| 26 |
+
"peft_version": "0.18.1",
|
| 27 |
+
"qalora_group_size": 16,
|
| 28 |
+
"r": 8,
|
| 29 |
+
"rank_pattern": {},
|
| 30 |
+
"revision": null,
|
| 31 |
+
"target_modules": [
|
| 32 |
+
"v_proj",
|
| 33 |
+
"gate_proj",
|
| 34 |
+
"o_proj",
|
| 35 |
+
"q_proj",
|
| 36 |
+
"up_proj",
|
| 37 |
+
"down_proj",
|
| 38 |
+
"k_proj"
|
| 39 |
+
],
|
| 40 |
+
"target_parameters": null,
|
| 41 |
+
"task_type": "CAUSAL_LM",
|
| 42 |
+
"trainable_token_indices": null,
|
| 43 |
+
"use_dora": false,
|
| 44 |
+
"use_qalora": false,
|
| 45 |
+
"use_rslora": false
|
| 46 |
+
}
|
baby_talk_L16_a50/seed_42/checkpoint-1486/adapter_model.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:007382b6152b29eec455eaa5fe792f96516c613dcfae13a94b89480f6d25818f
|
| 3 |
+
size 80792096
|
baby_talk_L16_a50/seed_42/checkpoint-1486/chat_template.jinja
ADDED
|
@@ -0,0 +1,54 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{%- if tools %}
|
| 2 |
+
{{- '<|im_start|>system\n' }}
|
| 3 |
+
{%- if messages[0]['role'] == 'system' %}
|
| 4 |
+
{{- messages[0]['content'] }}
|
| 5 |
+
{%- else %}
|
| 6 |
+
{{- 'You are Qwen, created by Alibaba Cloud. You are a helpful assistant.' }}
|
| 7 |
+
{%- endif %}
|
| 8 |
+
{{- "\n\n# Tools\n\nYou may call one or more functions to assist with the user query.\n\nYou are provided with function signatures within <tools></tools> XML tags:\n<tools>" }}
|
| 9 |
+
{%- for tool in tools %}
|
| 10 |
+
{{- "\n" }}
|
| 11 |
+
{{- tool | tojson }}
|
| 12 |
+
{%- endfor %}
|
| 13 |
+
{{- "\n</tools>\n\nFor each function call, return a json object with function name and arguments within <tool_call></tool_call> XML tags:\n<tool_call>\n{\"name\": <function-name>, \"arguments\": <args-json-object>}\n</tool_call><|im_end|>\n" }}
|
| 14 |
+
{%- else %}
|
| 15 |
+
{%- if messages[0]['role'] == 'system' %}
|
| 16 |
+
{{- '<|im_start|>system\n' + messages[0]['content'] + '<|im_end|>\n' }}
|
| 17 |
+
{%- else %}
|
| 18 |
+
{{- '<|im_start|>system\nYou are Qwen, created by Alibaba Cloud. You are a helpful assistant.<|im_end|>\n' }}
|
| 19 |
+
{%- endif %}
|
| 20 |
+
{%- endif %}
|
| 21 |
+
{%- for message in messages %}
|
| 22 |
+
{%- if (message.role == "user") or (message.role == "system" and not loop.first) or (message.role == "assistant" and not message.tool_calls) %}
|
| 23 |
+
{{- '<|im_start|>' + message.role + '\n' + message.content + '<|im_end|>' + '\n' }}
|
| 24 |
+
{%- elif message.role == "assistant" %}
|
| 25 |
+
{{- '<|im_start|>' + message.role }}
|
| 26 |
+
{%- if message.content %}
|
| 27 |
+
{{- '\n' + message.content }}
|
| 28 |
+
{%- endif %}
|
| 29 |
+
{%- for tool_call in message.tool_calls %}
|
| 30 |
+
{%- if tool_call.function is defined %}
|
| 31 |
+
{%- set tool_call = tool_call.function %}
|
| 32 |
+
{%- endif %}
|
| 33 |
+
{{- '\n<tool_call>\n{"name": "' }}
|
| 34 |
+
{{- tool_call.name }}
|
| 35 |
+
{{- '", "arguments": ' }}
|
| 36 |
+
{{- tool_call.arguments | tojson }}
|
| 37 |
+
{{- '}\n</tool_call>' }}
|
| 38 |
+
{%- endfor %}
|
| 39 |
+
{{- '<|im_end|>\n' }}
|
| 40 |
+
{%- elif message.role == "tool" %}
|
| 41 |
+
{%- if (loop.index0 == 0) or (messages[loop.index0 - 1].role != "tool") %}
|
| 42 |
+
{{- '<|im_start|>user' }}
|
| 43 |
+
{%- endif %}
|
| 44 |
+
{{- '\n<tool_response>\n' }}
|
| 45 |
+
{{- message.content }}
|
| 46 |
+
{{- '\n</tool_response>' }}
|
| 47 |
+
{%- if loop.last or (messages[loop.index0 + 1].role != "tool") %}
|
| 48 |
+
{{- '<|im_end|>\n' }}
|
| 49 |
+
{%- endif %}
|
| 50 |
+
{%- endif %}
|
| 51 |
+
{%- endfor %}
|
| 52 |
+
{%- if add_generation_prompt %}
|
| 53 |
+
{{- '<|im_start|>assistant\n' }}
|
| 54 |
+
{%- endif %}
|
baby_talk_L16_a50/seed_42/checkpoint-1486/tokenizer.json
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:3fd169731d2cbde95e10bf356d66d5997fd885dd8dbb6fb4684da3f23b2585d8
|
| 3 |
+
size 11421892
|
baby_talk_L16_a50/seed_42/checkpoint-1486/tokenizer_config.json
ADDED
|
@@ -0,0 +1,29 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"add_prefix_space": false,
|
| 3 |
+
"backend": "tokenizers",
|
| 4 |
+
"bos_token": null,
|
| 5 |
+
"clean_up_tokenization_spaces": false,
|
| 6 |
+
"eos_token": "<|im_end|>",
|
| 7 |
+
"errors": "replace",
|
| 8 |
+
"extra_special_tokens": [
|
| 9 |
+
"<|im_start|>",
|
| 10 |
+
"<|im_end|>",
|
| 11 |
+
"<|object_ref_start|>",
|
| 12 |
+
"<|object_ref_end|>",
|
| 13 |
+
"<|box_start|>",
|
| 14 |
+
"<|box_end|>",
|
| 15 |
+
"<|quad_start|>",
|
| 16 |
+
"<|quad_end|>",
|
| 17 |
+
"<|vision_start|>",
|
| 18 |
+
"<|vision_end|>",
|
| 19 |
+
"<|vision_pad|>",
|
| 20 |
+
"<|image_pad|>",
|
| 21 |
+
"<|video_pad|>"
|
| 22 |
+
],
|
| 23 |
+
"is_local": false,
|
| 24 |
+
"model_max_length": 131072,
|
| 25 |
+
"pad_token": "<|endoftext|>",
|
| 26 |
+
"split_special_tokens": false,
|
| 27 |
+
"tokenizer_class": "Qwen2Tokenizer",
|
| 28 |
+
"unk_token": null
|
| 29 |
+
}
|
baby_talk_L16_a50/seed_42/checkpoint-1486/trainer_state.json
ADDED
|
@@ -0,0 +1,1536 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"best_global_step": null,
|
| 3 |
+
"best_metric": null,
|
| 4 |
+
"best_model_checkpoint": null,
|
| 5 |
+
"epoch": 2.0,
|
| 6 |
+
"eval_steps": 500,
|
| 7 |
+
"global_step": 1486,
|
| 8 |
+
"is_hyper_param_search": false,
|
| 9 |
+
"is_local_process_zero": true,
|
| 10 |
+
"is_world_process_zero": true,
|
| 11 |
+
"log_history": [
|
| 12 |
+
{
|
| 13 |
+
"entropy": 1.2358420491218567,
|
| 14 |
+
"epoch": 0.013458950201884253,
|
| 15 |
+
"grad_norm": 3.2940118312835693,
|
| 16 |
+
"learning_rate": 2.4193548387096776e-06,
|
| 17 |
+
"loss": 0.550364351272583,
|
| 18 |
+
"mean_token_accuracy": 0.8554959416389465,
|
| 19 |
+
"num_tokens": 188811.0,
|
| 20 |
+
"step": 10
|
| 21 |
+
},
|
| 22 |
+
{
|
| 23 |
+
"entropy": 1.2353882431983947,
|
| 24 |
+
"epoch": 0.026917900403768506,
|
| 25 |
+
"grad_norm": 3.4476470947265625,
|
| 26 |
+
"learning_rate": 5.1075268817204305e-06,
|
| 27 |
+
"loss": 0.5143545627593994,
|
| 28 |
+
"mean_token_accuracy": 0.8613634884357453,
|
| 29 |
+
"num_tokens": 377729.0,
|
| 30 |
+
"step": 20
|
| 31 |
+
},
|
| 32 |
+
{
|
| 33 |
+
"entropy": 1.2403772234916688,
|
| 34 |
+
"epoch": 0.040376850605652756,
|
| 35 |
+
"grad_norm": 2.2756996154785156,
|
| 36 |
+
"learning_rate": 7.795698924731183e-06,
|
| 37 |
+
"loss": 0.3996511220932007,
|
| 38 |
+
"mean_token_accuracy": 0.8753438770771027,
|
| 39 |
+
"num_tokens": 566562.0,
|
| 40 |
+
"step": 30
|
| 41 |
+
},
|
| 42 |
+
{
|
| 43 |
+
"entropy": 1.2205921411514282,
|
| 44 |
+
"epoch": 0.05383580080753701,
|
| 45 |
+
"grad_norm": 1.2432096004486084,
|
| 46 |
+
"learning_rate": 1.0483870967741936e-05,
|
| 47 |
+
"loss": 0.2568032264709473,
|
| 48 |
+
"mean_token_accuracy": 0.9130991995334625,
|
| 49 |
+
"num_tokens": 755026.0,
|
| 50 |
+
"step": 40
|
| 51 |
+
},
|
| 52 |
+
{
|
| 53 |
+
"entropy": 1.221834623813629,
|
| 54 |
+
"epoch": 0.06729475100942127,
|
| 55 |
+
"grad_norm": 0.8531327843666077,
|
| 56 |
+
"learning_rate": 1.3172043010752688e-05,
|
| 57 |
+
"loss": 0.20193097591400147,
|
| 58 |
+
"mean_token_accuracy": 0.9274256646633148,
|
| 59 |
+
"num_tokens": 943494.0,
|
| 60 |
+
"step": 50
|
| 61 |
+
},
|
| 62 |
+
{
|
| 63 |
+
"entropy": 1.2245031952857972,
|
| 64 |
+
"epoch": 0.08075370121130551,
|
| 65 |
+
"grad_norm": 0.5026484131813049,
|
| 66 |
+
"learning_rate": 1.586021505376344e-05,
|
| 67 |
+
"loss": 0.171803081035614,
|
| 68 |
+
"mean_token_accuracy": 0.9363821744918823,
|
| 69 |
+
"num_tokens": 1131731.0,
|
| 70 |
+
"step": 60
|
| 71 |
+
},
|
| 72 |
+
{
|
| 73 |
+
"entropy": 1.2192703008651733,
|
| 74 |
+
"epoch": 0.09421265141318977,
|
| 75 |
+
"grad_norm": 0.5228630304336548,
|
| 76 |
+
"learning_rate": 1.8548387096774193e-05,
|
| 77 |
+
"loss": 0.15698516368865967,
|
| 78 |
+
"mean_token_accuracy": 0.9423282980918884,
|
| 79 |
+
"num_tokens": 1320258.0,
|
| 80 |
+
"step": 70
|
| 81 |
+
},
|
| 82 |
+
{
|
| 83 |
+
"entropy": 1.2153660774230957,
|
| 84 |
+
"epoch": 0.10767160161507403,
|
| 85 |
+
"grad_norm": 0.3650094270706177,
|
| 86 |
+
"learning_rate": 2.1236559139784946e-05,
|
| 87 |
+
"loss": 0.14900912046432496,
|
| 88 |
+
"mean_token_accuracy": 0.9437524616718292,
|
| 89 |
+
"num_tokens": 1509209.0,
|
| 90 |
+
"step": 80
|
| 91 |
+
},
|
| 92 |
+
{
|
| 93 |
+
"entropy": 1.2123230814933776,
|
| 94 |
+
"epoch": 0.12113055181695828,
|
| 95 |
+
"grad_norm": 0.45723631978034973,
|
| 96 |
+
"learning_rate": 2.39247311827957e-05,
|
| 97 |
+
"loss": 0.1399540901184082,
|
| 98 |
+
"mean_token_accuracy": 0.9474983811378479,
|
| 99 |
+
"num_tokens": 1698139.0,
|
| 100 |
+
"step": 90
|
| 101 |
+
},
|
| 102 |
+
{
|
| 103 |
+
"entropy": 1.208789598941803,
|
| 104 |
+
"epoch": 0.13458950201884254,
|
| 105 |
+
"grad_norm": 0.4575304687023163,
|
| 106 |
+
"learning_rate": 2.661290322580645e-05,
|
| 107 |
+
"loss": 0.12566736936569214,
|
| 108 |
+
"mean_token_accuracy": 0.9529488801956176,
|
| 109 |
+
"num_tokens": 1886384.0,
|
| 110 |
+
"step": 100
|
| 111 |
+
},
|
| 112 |
+
{
|
| 113 |
+
"entropy": 1.205567193031311,
|
| 114 |
+
"epoch": 0.1480484522207268,
|
| 115 |
+
"grad_norm": 0.8033406734466553,
|
| 116 |
+
"learning_rate": 2.9301075268817207e-05,
|
| 117 |
+
"loss": 0.12005312442779541,
|
| 118 |
+
"mean_token_accuracy": 0.9533569395542145,
|
| 119 |
+
"num_tokens": 2074919.0,
|
| 120 |
+
"step": 110
|
| 121 |
+
},
|
| 122 |
+
{
|
| 123 |
+
"entropy": 1.20180287361145,
|
| 124 |
+
"epoch": 0.16150740242261102,
|
| 125 |
+
"grad_norm": 0.6989286541938782,
|
| 126 |
+
"learning_rate": 3.198924731182796e-05,
|
| 127 |
+
"loss": 0.11197478771209717,
|
| 128 |
+
"mean_token_accuracy": 0.9572584748268127,
|
| 129 |
+
"num_tokens": 2263116.0,
|
| 130 |
+
"step": 120
|
| 131 |
+
},
|
| 132 |
+
{
|
| 133 |
+
"entropy": 1.202919363975525,
|
| 134 |
+
"epoch": 0.17496635262449528,
|
| 135 |
+
"grad_norm": 0.7233495116233826,
|
| 136 |
+
"learning_rate": 3.467741935483872e-05,
|
| 137 |
+
"loss": 0.11106340885162354,
|
| 138 |
+
"mean_token_accuracy": 0.9569663584232331,
|
| 139 |
+
"num_tokens": 2451273.0,
|
| 140 |
+
"step": 130
|
| 141 |
+
},
|
| 142 |
+
{
|
| 143 |
+
"entropy": 1.1907272219657898,
|
| 144 |
+
"epoch": 0.18842530282637954,
|
| 145 |
+
"grad_norm": 0.7645091414451599,
|
| 146 |
+
"learning_rate": 3.736559139784947e-05,
|
| 147 |
+
"loss": 0.10956189632415772,
|
| 148 |
+
"mean_token_accuracy": 0.95842245221138,
|
| 149 |
+
"num_tokens": 2640657.0,
|
| 150 |
+
"step": 140
|
| 151 |
+
},
|
| 152 |
+
{
|
| 153 |
+
"entropy": 1.1895484924316406,
|
| 154 |
+
"epoch": 0.2018842530282638,
|
| 155 |
+
"grad_norm": 0.841379702091217,
|
| 156 |
+
"learning_rate": 4.005376344086022e-05,
|
| 157 |
+
"loss": 0.10442907810211181,
|
| 158 |
+
"mean_token_accuracy": 0.9603263795375824,
|
| 159 |
+
"num_tokens": 2829351.0,
|
| 160 |
+
"step": 150
|
| 161 |
+
},
|
| 162 |
+
{
|
| 163 |
+
"entropy": 1.1871973633766175,
|
| 164 |
+
"epoch": 0.21534320323014805,
|
| 165 |
+
"grad_norm": 0.8552286624908447,
|
| 166 |
+
"learning_rate": 4.2741935483870973e-05,
|
| 167 |
+
"loss": 0.10493810176849365,
|
| 168 |
+
"mean_token_accuracy": 0.9597454965114594,
|
| 169 |
+
"num_tokens": 3018290.0,
|
| 170 |
+
"step": 160
|
| 171 |
+
},
|
| 172 |
+
{
|
| 173 |
+
"entropy": 1.1907334923744202,
|
| 174 |
+
"epoch": 0.2288021534320323,
|
| 175 |
+
"grad_norm": 0.7243770360946655,
|
| 176 |
+
"learning_rate": 4.543010752688172e-05,
|
| 177 |
+
"loss": 0.10288643836975098,
|
| 178 |
+
"mean_token_accuracy": 0.9603340923786163,
|
| 179 |
+
"num_tokens": 3206538.0,
|
| 180 |
+
"step": 170
|
| 181 |
+
},
|
| 182 |
+
{
|
| 183 |
+
"entropy": 1.1835299730300903,
|
| 184 |
+
"epoch": 0.24226110363391656,
|
| 185 |
+
"grad_norm": 0.8118091225624084,
|
| 186 |
+
"learning_rate": 4.811827956989248e-05,
|
| 187 |
+
"loss": 0.09798368811607361,
|
| 188 |
+
"mean_token_accuracy": 0.9619723737239838,
|
| 189 |
+
"num_tokens": 3395374.0,
|
| 190 |
+
"step": 180
|
| 191 |
+
},
|
| 192 |
+
{
|
| 193 |
+
"entropy": 1.1794602513313293,
|
| 194 |
+
"epoch": 0.2557200538358008,
|
| 195 |
+
"grad_norm": 0.7447699904441833,
|
| 196 |
+
"learning_rate": 5.080645161290323e-05,
|
| 197 |
+
"loss": 0.09498158693313599,
|
| 198 |
+
"mean_token_accuracy": 0.9634931206703186,
|
| 199 |
+
"num_tokens": 3584273.0,
|
| 200 |
+
"step": 190
|
| 201 |
+
},
|
| 202 |
+
{
|
| 203 |
+
"entropy": 1.1834724426269532,
|
| 204 |
+
"epoch": 0.2691790040376851,
|
| 205 |
+
"grad_norm": 1.4059171676635742,
|
| 206 |
+
"learning_rate": 5.349462365591398e-05,
|
| 207 |
+
"loss": 0.09400172233581543,
|
| 208 |
+
"mean_token_accuracy": 0.9630160868167877,
|
| 209 |
+
"num_tokens": 3772857.0,
|
| 210 |
+
"step": 200
|
| 211 |
+
},
|
| 212 |
+
{
|
| 213 |
+
"entropy": 1.186821174621582,
|
| 214 |
+
"epoch": 0.28263795423956933,
|
| 215 |
+
"grad_norm": 0.8273025751113892,
|
| 216 |
+
"learning_rate": 5.618279569892473e-05,
|
| 217 |
+
"loss": 0.09464811086654663,
|
| 218 |
+
"mean_token_accuracy": 0.9631786167621612,
|
| 219 |
+
"num_tokens": 3960877.0,
|
| 220 |
+
"step": 210
|
| 221 |
+
},
|
| 222 |
+
{
|
| 223 |
+
"entropy": 1.1769920349121095,
|
| 224 |
+
"epoch": 0.2960969044414536,
|
| 225 |
+
"grad_norm": 1.0182609558105469,
|
| 226 |
+
"learning_rate": 5.887096774193549e-05,
|
| 227 |
+
"loss": 0.0914128303527832,
|
| 228 |
+
"mean_token_accuracy": 0.9644896507263183,
|
| 229 |
+
"num_tokens": 4149444.0,
|
| 230 |
+
"step": 220
|
| 231 |
+
},
|
| 232 |
+
{
|
| 233 |
+
"entropy": 1.1719188809394836,
|
| 234 |
+
"epoch": 0.30955585464333785,
|
| 235 |
+
"grad_norm": 0.9648745656013489,
|
| 236 |
+
"learning_rate": 6.155913978494624e-05,
|
| 237 |
+
"loss": 0.0920255422592163,
|
| 238 |
+
"mean_token_accuracy": 0.963964831829071,
|
| 239 |
+
"num_tokens": 4337989.0,
|
| 240 |
+
"step": 230
|
| 241 |
+
},
|
| 242 |
+
{
|
| 243 |
+
"entropy": 1.1559369206428527,
|
| 244 |
+
"epoch": 0.32301480484522205,
|
| 245 |
+
"grad_norm": 0.853049635887146,
|
| 246 |
+
"learning_rate": 6.4247311827957e-05,
|
| 247 |
+
"loss": 0.0891042947769165,
|
| 248 |
+
"mean_token_accuracy": 0.9653984010219574,
|
| 249 |
+
"num_tokens": 4527256.0,
|
| 250 |
+
"step": 240
|
| 251 |
+
},
|
| 252 |
+
{
|
| 253 |
+
"entropy": 1.1604587316513062,
|
| 254 |
+
"epoch": 0.3364737550471063,
|
| 255 |
+
"grad_norm": 0.873772144317627,
|
| 256 |
+
"learning_rate": 6.693548387096774e-05,
|
| 257 |
+
"loss": 0.09071275591850281,
|
| 258 |
+
"mean_token_accuracy": 0.9651397407054901,
|
| 259 |
+
"num_tokens": 4715878.0,
|
| 260 |
+
"step": 250
|
| 261 |
+
},
|
| 262 |
+
{
|
| 263 |
+
"entropy": 1.1534931778907775,
|
| 264 |
+
"epoch": 0.34993270524899056,
|
| 265 |
+
"grad_norm": 1.087850570678711,
|
| 266 |
+
"learning_rate": 6.962365591397851e-05,
|
| 267 |
+
"loss": 0.08719289302825928,
|
| 268 |
+
"mean_token_accuracy": 0.9658753871917725,
|
| 269 |
+
"num_tokens": 4904527.0,
|
| 270 |
+
"step": 260
|
| 271 |
+
},
|
| 272 |
+
{
|
| 273 |
+
"entropy": 1.1629684448242188,
|
| 274 |
+
"epoch": 0.3633916554508748,
|
| 275 |
+
"grad_norm": 0.9014195799827576,
|
| 276 |
+
"learning_rate": 7.231182795698926e-05,
|
| 277 |
+
"loss": 0.08716133236885071,
|
| 278 |
+
"mean_token_accuracy": 0.965560519695282,
|
| 279 |
+
"num_tokens": 5093554.0,
|
| 280 |
+
"step": 270
|
| 281 |
+
},
|
| 282 |
+
{
|
| 283 |
+
"entropy": 1.148916518688202,
|
| 284 |
+
"epoch": 0.3768506056527591,
|
| 285 |
+
"grad_norm": 0.9712215662002563,
|
| 286 |
+
"learning_rate": 7.500000000000001e-05,
|
| 287 |
+
"loss": 0.08668915033340455,
|
| 288 |
+
"mean_token_accuracy": 0.9658140063285827,
|
| 289 |
+
"num_tokens": 5282224.0,
|
| 290 |
+
"step": 280
|
| 291 |
+
},
|
| 292 |
+
{
|
| 293 |
+
"entropy": 1.1493291974067688,
|
| 294 |
+
"epoch": 0.39030955585464333,
|
| 295 |
+
"grad_norm": 0.9085242748260498,
|
| 296 |
+
"learning_rate": 7.768817204301076e-05,
|
| 297 |
+
"loss": 0.08189771175384522,
|
| 298 |
+
"mean_token_accuracy": 0.9670268416404724,
|
| 299 |
+
"num_tokens": 5471308.0,
|
| 300 |
+
"step": 290
|
| 301 |
+
},
|
| 302 |
+
{
|
| 303 |
+
"entropy": 1.1406704187393188,
|
| 304 |
+
"epoch": 0.4037685060565276,
|
| 305 |
+
"grad_norm": 1.128177285194397,
|
| 306 |
+
"learning_rate": 8.037634408602151e-05,
|
| 307 |
+
"loss": 0.08119879961013794,
|
| 308 |
+
"mean_token_accuracy": 0.9675639867782593,
|
| 309 |
+
"num_tokens": 5660026.0,
|
| 310 |
+
"step": 300
|
| 311 |
+
},
|
| 312 |
+
{
|
| 313 |
+
"entropy": 1.1369357347488402,
|
| 314 |
+
"epoch": 0.41722745625841184,
|
| 315 |
+
"grad_norm": 0.8224227428436279,
|
| 316 |
+
"learning_rate": 8.306451612903227e-05,
|
| 317 |
+
"loss": 0.07979745864868164,
|
| 318 |
+
"mean_token_accuracy": 0.9681445300579071,
|
| 319 |
+
"num_tokens": 5848073.0,
|
| 320 |
+
"step": 310
|
| 321 |
+
},
|
| 322 |
+
{
|
| 323 |
+
"entropy": 1.1252583503723144,
|
| 324 |
+
"epoch": 0.4306864064602961,
|
| 325 |
+
"grad_norm": 0.7711160182952881,
|
| 326 |
+
"learning_rate": 8.575268817204302e-05,
|
| 327 |
+
"loss": 0.0783164381980896,
|
| 328 |
+
"mean_token_accuracy": 0.9686201930046081,
|
| 329 |
+
"num_tokens": 6036717.0,
|
| 330 |
+
"step": 320
|
| 331 |
+
},
|
| 332 |
+
{
|
| 333 |
+
"entropy": 1.1203404307365417,
|
| 334 |
+
"epoch": 0.44414535666218036,
|
| 335 |
+
"grad_norm": 1.1810287237167358,
|
| 336 |
+
"learning_rate": 8.844086021505377e-05,
|
| 337 |
+
"loss": 0.08139073848724365,
|
| 338 |
+
"mean_token_accuracy": 0.9681365489959717,
|
| 339 |
+
"num_tokens": 6225223.0,
|
| 340 |
+
"step": 330
|
| 341 |
+
},
|
| 342 |
+
{
|
| 343 |
+
"entropy": 1.1222687840461731,
|
| 344 |
+
"epoch": 0.4576043068640646,
|
| 345 |
+
"grad_norm": 1.4551713466644287,
|
| 346 |
+
"learning_rate": 9.112903225806452e-05,
|
| 347 |
+
"loss": 0.0820135235786438,
|
| 348 |
+
"mean_token_accuracy": 0.9672703862190246,
|
| 349 |
+
"num_tokens": 6413936.0,
|
| 350 |
+
"step": 340
|
| 351 |
+
},
|
| 352 |
+
{
|
| 353 |
+
"entropy": 1.1156280279159545,
|
| 354 |
+
"epoch": 0.47106325706594887,
|
| 355 |
+
"grad_norm": 0.8573716878890991,
|
| 356 |
+
"learning_rate": 9.381720430107528e-05,
|
| 357 |
+
"loss": 0.08074904680252075,
|
| 358 |
+
"mean_token_accuracy": 0.9677663922309876,
|
| 359 |
+
"num_tokens": 6602413.0,
|
| 360 |
+
"step": 350
|
| 361 |
+
},
|
| 362 |
+
{
|
| 363 |
+
"entropy": 1.1063185572624206,
|
| 364 |
+
"epoch": 0.4845222072678331,
|
| 365 |
+
"grad_norm": 0.7709434628486633,
|
| 366 |
+
"learning_rate": 9.650537634408603e-05,
|
| 367 |
+
"loss": 0.07549421787261963,
|
| 368 |
+
"mean_token_accuracy": 0.9689356207847595,
|
| 369 |
+
"num_tokens": 6790873.0,
|
| 370 |
+
"step": 360
|
| 371 |
+
},
|
| 372 |
+
{
|
| 373 |
+
"entropy": 1.0962031960487366,
|
| 374 |
+
"epoch": 0.4979811574697174,
|
| 375 |
+
"grad_norm": 0.7843625545501709,
|
| 376 |
+
"learning_rate": 9.919354838709678e-05,
|
| 377 |
+
"loss": 0.07368478775024415,
|
| 378 |
+
"mean_token_accuracy": 0.9700294613838196,
|
| 379 |
+
"num_tokens": 6979392.0,
|
| 380 |
+
"step": 370
|
| 381 |
+
},
|
| 382 |
+
{
|
| 383 |
+
"entropy": 1.1028530240058898,
|
| 384 |
+
"epoch": 0.5114401076716016,
|
| 385 |
+
"grad_norm": 0.7935485243797302,
|
| 386 |
+
"learning_rate": 9.999975729865971e-05,
|
| 387 |
+
"loss": 0.07766538262367248,
|
| 388 |
+
"mean_token_accuracy": 0.9704003691673279,
|
| 389 |
+
"num_tokens": 7167482.0,
|
| 390 |
+
"step": 380
|
| 391 |
+
},
|
| 392 |
+
{
|
| 393 |
+
"entropy": 1.0905393958091736,
|
| 394 |
+
"epoch": 0.5248990578734859,
|
| 395 |
+
"grad_norm": 1.4108924865722656,
|
| 396 |
+
"learning_rate": 9.999856856307314e-05,
|
| 397 |
+
"loss": 0.0760004162788391,
|
| 398 |
+
"mean_token_accuracy": 0.9699020266532898,
|
| 399 |
+
"num_tokens": 7355994.0,
|
| 400 |
+
"step": 390
|
| 401 |
+
},
|
| 402 |
+
{
|
| 403 |
+
"entropy": 1.0853531122207642,
|
| 404 |
+
"epoch": 0.5383580080753702,
|
| 405 |
+
"grad_norm": 0.9043511152267456,
|
| 406 |
+
"learning_rate": 9.999638923896533e-05,
|
| 407 |
+
"loss": 0.0720310389995575,
|
| 408 |
+
"mean_token_accuracy": 0.9707890212535858,
|
| 409 |
+
"num_tokens": 7544655.0,
|
| 410 |
+
"step": 400
|
| 411 |
+
},
|
| 412 |
+
{
|
| 413 |
+
"entropy": 1.075773572921753,
|
| 414 |
+
"epoch": 0.5518169582772544,
|
| 415 |
+
"grad_norm": 0.9038823246955872,
|
| 416 |
+
"learning_rate": 9.999321936951374e-05,
|
| 417 |
+
"loss": 0.07026209831237792,
|
| 418 |
+
"mean_token_accuracy": 0.9715417385101318,
|
| 419 |
+
"num_tokens": 7733348.0,
|
| 420 |
+
"step": 410
|
| 421 |
+
},
|
| 422 |
+
{
|
| 423 |
+
"entropy": 1.0572428584098816,
|
| 424 |
+
"epoch": 0.5652759084791387,
|
| 425 |
+
"grad_norm": 0.8231707811355591,
|
| 426 |
+
"learning_rate": 9.998905901752091e-05,
|
| 427 |
+
"loss": 0.07141299843788147,
|
| 428 |
+
"mean_token_accuracy": 0.9705908715724945,
|
| 429 |
+
"num_tokens": 7921582.0,
|
| 430 |
+
"step": 420
|
| 431 |
+
},
|
| 432 |
+
{
|
| 433 |
+
"entropy": 1.051485300064087,
|
| 434 |
+
"epoch": 0.5787348586810229,
|
| 435 |
+
"grad_norm": 1.1695454120635986,
|
| 436 |
+
"learning_rate": 9.998390826541315e-05,
|
| 437 |
+
"loss": 0.07321611642837525,
|
| 438 |
+
"mean_token_accuracy": 0.9709623396396637,
|
| 439 |
+
"num_tokens": 8110266.0,
|
| 440 |
+
"step": 430
|
| 441 |
+
},
|
| 442 |
+
{
|
| 443 |
+
"entropy": 1.0485445380210876,
|
| 444 |
+
"epoch": 0.5921938088829072,
|
| 445 |
+
"grad_norm": 0.7291010618209839,
|
| 446 |
+
"learning_rate": 9.997776721523888e-05,
|
| 447 |
+
"loss": 0.07221676707267762,
|
| 448 |
+
"mean_token_accuracy": 0.9705081820487976,
|
| 449 |
+
"num_tokens": 8298932.0,
|
| 450 |
+
"step": 440
|
| 451 |
+
},
|
| 452 |
+
{
|
| 453 |
+
"entropy": 1.0456495046615601,
|
| 454 |
+
"epoch": 0.6056527590847914,
|
| 455 |
+
"grad_norm": 0.6550094485282898,
|
| 456 |
+
"learning_rate": 9.99706359886667e-05,
|
| 457 |
+
"loss": 0.06878133416175843,
|
| 458 |
+
"mean_token_accuracy": 0.9728739261627197,
|
| 459 |
+
"num_tokens": 8487613.0,
|
| 460 |
+
"step": 450
|
| 461 |
+
},
|
| 462 |
+
{
|
| 463 |
+
"entropy": 1.0372861266136169,
|
| 464 |
+
"epoch": 0.6191117092866757,
|
| 465 |
+
"grad_norm": 0.5825450420379639,
|
| 466 |
+
"learning_rate": 9.996251472698281e-05,
|
| 467 |
+
"loss": 0.06706151366233826,
|
| 468 |
+
"mean_token_accuracy": 0.9732721030712128,
|
| 469 |
+
"num_tokens": 8676276.0,
|
| 470 |
+
"step": 460
|
| 471 |
+
},
|
| 472 |
+
{
|
| 473 |
+
"entropy": 1.0319493532180786,
|
| 474 |
+
"epoch": 0.6325706594885598,
|
| 475 |
+
"grad_norm": 0.7158534526824951,
|
| 476 |
+
"learning_rate": 9.995340359108844e-05,
|
| 477 |
+
"loss": 0.06999597549438477,
|
| 478 |
+
"mean_token_accuracy": 0.9726741492748261,
|
| 479 |
+
"num_tokens": 8864738.0,
|
| 480 |
+
"step": 470
|
| 481 |
+
},
|
| 482 |
+
{
|
| 483 |
+
"entropy": 1.0260030388832093,
|
| 484 |
+
"epoch": 0.6460296096904441,
|
| 485 |
+
"grad_norm": 0.7918373346328735,
|
| 486 |
+
"learning_rate": 9.994330276149649e-05,
|
| 487 |
+
"loss": 0.06949877142906188,
|
| 488 |
+
"mean_token_accuracy": 0.9725882947444916,
|
| 489 |
+
"num_tokens": 9053582.0,
|
| 490 |
+
"step": 480
|
| 491 |
+
},
|
| 492 |
+
{
|
| 493 |
+
"entropy": 1.0258127093315124,
|
| 494 |
+
"epoch": 0.6594885598923284,
|
| 495 |
+
"grad_norm": 0.893281102180481,
|
| 496 |
+
"learning_rate": 9.993221243832797e-05,
|
| 497 |
+
"loss": 0.06893026828765869,
|
| 498 |
+
"mean_token_accuracy": 0.9729171216487884,
|
| 499 |
+
"num_tokens": 9241914.0,
|
| 500 |
+
"step": 490
|
| 501 |
+
},
|
| 502 |
+
{
|
| 503 |
+
"entropy": 1.0261828184127808,
|
| 504 |
+
"epoch": 0.6729475100942126,
|
| 505 |
+
"grad_norm": 1.0127108097076416,
|
| 506 |
+
"learning_rate": 9.992013284130816e-05,
|
| 507 |
+
"loss": 0.07094801664352417,
|
| 508 |
+
"mean_token_accuracy": 0.9714575052261353,
|
| 509 |
+
"num_tokens": 9430981.0,
|
| 510 |
+
"step": 500
|
| 511 |
+
},
|
| 512 |
+
{
|
| 513 |
+
"entropy": 1.0274562597274781,
|
| 514 |
+
"epoch": 0.6864064602960969,
|
| 515 |
+
"grad_norm": 0.7148029208183289,
|
| 516 |
+
"learning_rate": 9.990706420976206e-05,
|
| 517 |
+
"loss": 0.06826171875,
|
| 518 |
+
"mean_token_accuracy": 0.9727248430252076,
|
| 519 |
+
"num_tokens": 9619472.0,
|
| 520 |
+
"step": 510
|
| 521 |
+
},
|
| 522 |
+
{
|
| 523 |
+
"entropy": 1.0137859225273131,
|
| 524 |
+
"epoch": 0.6998654104979811,
|
| 525 |
+
"grad_norm": 0.9228634238243103,
|
| 526 |
+
"learning_rate": 9.989300680260985e-05,
|
| 527 |
+
"loss": 0.06890587210655212,
|
| 528 |
+
"mean_token_accuracy": 0.9723304331302642,
|
| 529 |
+
"num_tokens": 9808123.0,
|
| 530 |
+
"step": 520
|
| 531 |
+
},
|
| 532 |
+
{
|
| 533 |
+
"entropy": 1.0221150755882262,
|
| 534 |
+
"epoch": 0.7133243606998654,
|
| 535 |
+
"grad_norm": 0.971530556678772,
|
| 536 |
+
"learning_rate": 9.98779608983616e-05,
|
| 537 |
+
"loss": 0.07073599100112915,
|
| 538 |
+
"mean_token_accuracy": 0.9714174270629883,
|
| 539 |
+
"num_tokens": 9996601.0,
|
| 540 |
+
"step": 530
|
| 541 |
+
},
|
| 542 |
+
{
|
| 543 |
+
"entropy": 1.0248154640197753,
|
| 544 |
+
"epoch": 0.7267833109017496,
|
| 545 |
+
"grad_norm": 0.7336317896842957,
|
| 546 |
+
"learning_rate": 9.986192679511189e-05,
|
| 547 |
+
"loss": 0.06874136924743653,
|
| 548 |
+
"mean_token_accuracy": 0.9723432004451752,
|
| 549 |
+
"num_tokens": 10184725.0,
|
| 550 |
+
"step": 540
|
| 551 |
+
},
|
| 552 |
+
{
|
| 553 |
+
"entropy": 1.0120978832244873,
|
| 554 |
+
"epoch": 0.7402422611036339,
|
| 555 |
+
"grad_norm": 1.2100600004196167,
|
| 556 |
+
"learning_rate": 9.984490481053372e-05,
|
| 557 |
+
"loss": 0.06270487308502197,
|
| 558 |
+
"mean_token_accuracy": 0.9756880521774292,
|
| 559 |
+
"num_tokens": 10373446.0,
|
| 560 |
+
"step": 550
|
| 561 |
+
},
|
| 562 |
+
{
|
| 563 |
+
"entropy": 1.0172406077384948,
|
| 564 |
+
"epoch": 0.7537012113055181,
|
| 565 |
+
"grad_norm": 0.7562853693962097,
|
| 566 |
+
"learning_rate": 9.982689528187244e-05,
|
| 567 |
+
"loss": 0.06784560084342957,
|
| 568 |
+
"mean_token_accuracy": 0.9724333345890045,
|
| 569 |
+
"num_tokens": 10561710.0,
|
| 570 |
+
"step": 560
|
| 571 |
+
},
|
| 572 |
+
{
|
| 573 |
+
"entropy": 1.0150038957595826,
|
| 574 |
+
"epoch": 0.7671601615074024,
|
| 575 |
+
"grad_norm": 1.07966148853302,
|
| 576 |
+
"learning_rate": 9.98078985659389e-05,
|
| 577 |
+
"loss": 0.0670344054698944,
|
| 578 |
+
"mean_token_accuracy": 0.97339146733284,
|
| 579 |
+
"num_tokens": 10749917.0,
|
| 580 |
+
"step": 570
|
| 581 |
+
},
|
| 582 |
+
{
|
| 583 |
+
"entropy": 1.0135640978813172,
|
| 584 |
+
"epoch": 0.7806191117092867,
|
| 585 |
+
"grad_norm": 0.7826104164123535,
|
| 586 |
+
"learning_rate": 9.978791503910246e-05,
|
| 587 |
+
"loss": 0.0668565571308136,
|
| 588 |
+
"mean_token_accuracy": 0.9735289216041565,
|
| 589 |
+
"num_tokens": 10938098.0,
|
| 590 |
+
"step": 580
|
| 591 |
+
},
|
| 592 |
+
{
|
| 593 |
+
"entropy": 1.0077669620513916,
|
| 594 |
+
"epoch": 0.7940780619111709,
|
| 595 |
+
"grad_norm": 1.299584150314331,
|
| 596 |
+
"learning_rate": 9.97669450972835e-05,
|
| 597 |
+
"loss": 0.0728976845741272,
|
| 598 |
+
"mean_token_accuracy": 0.9701269209384918,
|
| 599 |
+
"num_tokens": 11126107.0,
|
| 600 |
+
"step": 590
|
| 601 |
+
},
|
| 602 |
+
{
|
| 603 |
+
"entropy": 0.9957692861557007,
|
| 604 |
+
"epoch": 0.8075370121130552,
|
| 605 |
+
"grad_norm": 1.1542484760284424,
|
| 606 |
+
"learning_rate": 9.974498915594557e-05,
|
| 607 |
+
"loss": 0.0631720781326294,
|
| 608 |
+
"mean_token_accuracy": 0.9747781097888947,
|
| 609 |
+
"num_tokens": 11315001.0,
|
| 610 |
+
"step": 600
|
| 611 |
+
},
|
| 612 |
+
{
|
| 613 |
+
"entropy": 0.9983992159366608,
|
| 614 |
+
"epoch": 0.8209959623149394,
|
| 615 |
+
"grad_norm": 0.6967246532440186,
|
| 616 |
+
"learning_rate": 9.97220476500872e-05,
|
| 617 |
+
"loss": 0.06333768963813782,
|
| 618 |
+
"mean_token_accuracy": 0.9750322341918946,
|
| 619 |
+
"num_tokens": 11503007.0,
|
| 620 |
+
"step": 610
|
| 621 |
+
},
|
| 622 |
+
{
|
| 623 |
+
"entropy": 0.9801111698150635,
|
| 624 |
+
"epoch": 0.8344549125168237,
|
| 625 |
+
"grad_norm": 0.945446789264679,
|
| 626 |
+
"learning_rate": 9.969812103423325e-05,
|
| 627 |
+
"loss": 0.05720087289810181,
|
| 628 |
+
"mean_token_accuracy": 0.9767442524433136,
|
| 629 |
+
"num_tokens": 11691883.0,
|
| 630 |
+
"step": 620
|
| 631 |
+
},
|
| 632 |
+
{
|
| 633 |
+
"entropy": 0.9879570543766022,
|
| 634 |
+
"epoch": 0.847913862718708,
|
| 635 |
+
"grad_norm": 0.8254193663597107,
|
| 636 |
+
"learning_rate": 9.967320978242592e-05,
|
| 637 |
+
"loss": 0.05899171829223633,
|
| 638 |
+
"mean_token_accuracy": 0.9767756819725036,
|
| 639 |
+
"num_tokens": 11880353.0,
|
| 640 |
+
"step": 630
|
| 641 |
+
},
|
| 642 |
+
{
|
| 643 |
+
"entropy": 0.9878240942955017,
|
| 644 |
+
"epoch": 0.8613728129205922,
|
| 645 |
+
"grad_norm": 0.9882538914680481,
|
| 646 |
+
"learning_rate": 9.964731438821533e-05,
|
| 647 |
+
"loss": 0.06443996429443359,
|
| 648 |
+
"mean_token_accuracy": 0.9735406100749969,
|
| 649 |
+
"num_tokens": 12069610.0,
|
| 650 |
+
"step": 640
|
| 651 |
+
},
|
| 652 |
+
{
|
| 653 |
+
"entropy": 0.9938213169574738,
|
| 654 |
+
"epoch": 0.8748317631224765,
|
| 655 |
+
"grad_norm": 1.126546859741211,
|
| 656 |
+
"learning_rate": 9.962043536464978e-05,
|
| 657 |
+
"loss": 0.06708416938781739,
|
| 658 |
+
"mean_token_accuracy": 0.9730359137058258,
|
| 659 |
+
"num_tokens": 12257901.0,
|
| 660 |
+
"step": 650
|
| 661 |
+
},
|
| 662 |
+
{
|
| 663 |
+
"entropy": 0.9800443708896637,
|
| 664 |
+
"epoch": 0.8882907133243607,
|
| 665 |
+
"grad_norm": 0.9151445031166077,
|
| 666 |
+
"learning_rate": 9.959257324426556e-05,
|
| 667 |
+
"loss": 0.06290764808654785,
|
| 668 |
+
"mean_token_accuracy": 0.9741653084754944,
|
| 669 |
+
"num_tokens": 12446236.0,
|
| 670 |
+
"step": 660
|
| 671 |
+
},
|
| 672 |
+
{
|
| 673 |
+
"entropy": 0.9744794130325317,
|
| 674 |
+
"epoch": 0.901749663526245,
|
| 675 |
+
"grad_norm": 0.9104028940200806,
|
| 676 |
+
"learning_rate": 9.95637285790764e-05,
|
| 677 |
+
"loss": 0.060464882850646974,
|
| 678 |
+
"mean_token_accuracy": 0.9757490694522858,
|
| 679 |
+
"num_tokens": 12635226.0,
|
| 680 |
+
"step": 670
|
| 681 |
+
},
|
| 682 |
+
{
|
| 683 |
+
"entropy": 0.9786687552928924,
|
| 684 |
+
"epoch": 0.9152086137281292,
|
| 685 |
+
"grad_norm": 0.7316192388534546,
|
| 686 |
+
"learning_rate": 9.953390194056258e-05,
|
| 687 |
+
"loss": 0.06054847836494446,
|
| 688 |
+
"mean_token_accuracy": 0.9760404825210571,
|
| 689 |
+
"num_tokens": 12823428.0,
|
| 690 |
+
"step": 680
|
| 691 |
+
},
|
| 692 |
+
{
|
| 693 |
+
"entropy": 0.966060334444046,
|
| 694 |
+
"epoch": 0.9286675639300135,
|
| 695 |
+
"grad_norm": 1.3535135984420776,
|
| 696 |
+
"learning_rate": 9.950309391965947e-05,
|
| 697 |
+
"loss": 0.061383575201034546,
|
| 698 |
+
"mean_token_accuracy": 0.9749173820018768,
|
| 699 |
+
"num_tokens": 13012362.0,
|
| 700 |
+
"step": 690
|
| 701 |
+
},
|
| 702 |
+
{
|
| 703 |
+
"entropy": 0.9722849190235138,
|
| 704 |
+
"epoch": 0.9421265141318977,
|
| 705 |
+
"grad_norm": 0.890771746635437,
|
| 706 |
+
"learning_rate": 9.947130512674602e-05,
|
| 707 |
+
"loss": 0.06301190257072449,
|
| 708 |
+
"mean_token_accuracy": 0.9750476598739624,
|
| 709 |
+
"num_tokens": 13200680.0,
|
| 710 |
+
"step": 700
|
| 711 |
+
},
|
| 712 |
+
{
|
| 713 |
+
"entropy": 0.9624020338058472,
|
| 714 |
+
"epoch": 0.955585464333782,
|
| 715 |
+
"grad_norm": 1.142499327659607,
|
| 716 |
+
"learning_rate": 9.943853619163255e-05,
|
| 717 |
+
"loss": 0.06179196834564209,
|
| 718 |
+
"mean_token_accuracy": 0.9751901209354401,
|
| 719 |
+
"num_tokens": 13389333.0,
|
| 720 |
+
"step": 710
|
| 721 |
+
},
|
| 722 |
+
{
|
| 723 |
+
"entropy": 0.9653747022151947,
|
| 724 |
+
"epoch": 0.9690444145356663,
|
| 725 |
+
"grad_norm": 0.8682493567466736,
|
| 726 |
+
"learning_rate": 9.94047877635482e-05,
|
| 727 |
+
"loss": 0.06113170981407166,
|
| 728 |
+
"mean_token_accuracy": 0.9748325288295746,
|
| 729 |
+
"num_tokens": 13578210.0,
|
| 730 |
+
"step": 720
|
| 731 |
+
},
|
| 732 |
+
{
|
| 733 |
+
"entropy": 0.970348197221756,
|
| 734 |
+
"epoch": 0.9825033647375505,
|
| 735 |
+
"grad_norm": 0.8351430296897888,
|
| 736 |
+
"learning_rate": 9.93700605111283e-05,
|
| 737 |
+
"loss": 0.05901788473129273,
|
| 738 |
+
"mean_token_accuracy": 0.9761226296424865,
|
| 739 |
+
"num_tokens": 13767039.0,
|
| 740 |
+
"step": 730
|
| 741 |
+
},
|
| 742 |
+
{
|
| 743 |
+
"entropy": 0.956724613904953,
|
| 744 |
+
"epoch": 0.9959623149394348,
|
| 745 |
+
"grad_norm": 1.2604819536209106,
|
| 746 |
+
"learning_rate": 9.933435512240084e-05,
|
| 747 |
+
"loss": 0.06124393343925476,
|
| 748 |
+
"mean_token_accuracy": 0.9747833967208862,
|
| 749 |
+
"num_tokens": 13956057.0,
|
| 750 |
+
"step": 740
|
| 751 |
+
},
|
| 752 |
+
{
|
| 753 |
+
"epoch": 1.0,
|
| 754 |
+
"eval_entropy": 0.9722227849018802,
|
| 755 |
+
"eval_loss": 0.0600070059299469,
|
| 756 |
+
"eval_mean_token_accuracy": 0.975752676368519,
|
| 757 |
+
"eval_num_tokens": 14012630.0,
|
| 758 |
+
"eval_runtime": 24.6215,
|
| 759 |
+
"eval_samples_per_second": 203.074,
|
| 760 |
+
"eval_steps_per_second": 6.377,
|
| 761 |
+
"step": 743
|
| 762 |
+
},
|
| 763 |
+
{
|
| 764 |
+
"entropy": 0.9689933776855468,
|
| 765 |
+
"epoch": 1.009421265141319,
|
| 766 |
+
"grad_norm": 0.9720287919044495,
|
| 767 |
+
"learning_rate": 9.929767230477305e-05,
|
| 768 |
+
"loss": 0.055563896894454956,
|
| 769 |
+
"mean_token_accuracy": 0.9779708027839661,
|
| 770 |
+
"num_tokens": 14144652.0,
|
| 771 |
+
"step": 750
|
| 772 |
+
},
|
| 773 |
+
{
|
| 774 |
+
"entropy": 0.9506655633449554,
|
| 775 |
+
"epoch": 1.0228802153432033,
|
| 776 |
+
"grad_norm": 0.6619595289230347,
|
| 777 |
+
"learning_rate": 9.92600127850173e-05,
|
| 778 |
+
"loss": 0.050587379932403566,
|
| 779 |
+
"mean_token_accuracy": 0.979685264825821,
|
| 780 |
+
"num_tokens": 14332714.0,
|
| 781 |
+
"step": 760
|
| 782 |
+
},
|
| 783 |
+
{
|
| 784 |
+
"entropy": 0.9458732306957245,
|
| 785 |
+
"epoch": 1.0363391655450875,
|
| 786 |
+
"grad_norm": 0.7905108332633972,
|
| 787 |
+
"learning_rate": 9.922137730925673e-05,
|
| 788 |
+
"loss": 0.05069155097007751,
|
| 789 |
+
"mean_token_accuracy": 0.9796596229076385,
|
| 790 |
+
"num_tokens": 14520902.0,
|
| 791 |
+
"step": 770
|
| 792 |
+
},
|
| 793 |
+
{
|
| 794 |
+
"entropy": 0.9320916712284089,
|
| 795 |
+
"epoch": 1.0497981157469718,
|
| 796 |
+
"grad_norm": 0.9210566878318787,
|
| 797 |
+
"learning_rate": 9.918176664295041e-05,
|
| 798 |
+
"loss": 0.051744121313095096,
|
| 799 |
+
"mean_token_accuracy": 0.9792148530483246,
|
| 800 |
+
"num_tokens": 14709215.0,
|
| 801 |
+
"step": 780
|
| 802 |
+
},
|
| 803 |
+
{
|
| 804 |
+
"entropy": 0.928934782743454,
|
| 805 |
+
"epoch": 1.063257065948856,
|
| 806 |
+
"grad_norm": 0.7442036867141724,
|
| 807 |
+
"learning_rate": 9.914118157087824e-05,
|
| 808 |
+
"loss": 0.0486875057220459,
|
| 809 |
+
"mean_token_accuracy": 0.9798122465610504,
|
| 810 |
+
"num_tokens": 14898242.0,
|
| 811 |
+
"step": 790
|
| 812 |
+
},
|
| 813 |
+
{
|
| 814 |
+
"entropy": 0.942881977558136,
|
| 815 |
+
"epoch": 1.0767160161507403,
|
| 816 |
+
"grad_norm": 1.0910941362380981,
|
| 817 |
+
"learning_rate": 9.909962289712538e-05,
|
| 818 |
+
"loss": 0.052297019958496095,
|
| 819 |
+
"mean_token_accuracy": 0.9793200254440307,
|
| 820 |
+
"num_tokens": 15086835.0,
|
| 821 |
+
"step": 800
|
| 822 |
+
},
|
| 823 |
+
{
|
| 824 |
+
"entropy": 0.9503917813301086,
|
| 825 |
+
"epoch": 1.0901749663526246,
|
| 826 |
+
"grad_norm": 0.8091554641723633,
|
| 827 |
+
"learning_rate": 9.905709144506629e-05,
|
| 828 |
+
"loss": 0.049927744269371035,
|
| 829 |
+
"mean_token_accuracy": 0.9802082359790802,
|
| 830 |
+
"num_tokens": 15275042.0,
|
| 831 |
+
"step": 810
|
| 832 |
+
},
|
| 833 |
+
{
|
| 834 |
+
"entropy": 0.9426830470561981,
|
| 835 |
+
"epoch": 1.1036339165545088,
|
| 836 |
+
"grad_norm": 1.0589245557785034,
|
| 837 |
+
"learning_rate": 9.901358805734846e-05,
|
| 838 |
+
"loss": 0.053803551197052005,
|
| 839 |
+
"mean_token_accuracy": 0.9785399675369263,
|
| 840 |
+
"num_tokens": 15463923.0,
|
| 841 |
+
"step": 820
|
| 842 |
+
},
|
| 843 |
+
{
|
| 844 |
+
"entropy": 0.9445010781288147,
|
| 845 |
+
"epoch": 1.117092866756393,
|
| 846 |
+
"grad_norm": 0.8410441279411316,
|
| 847 |
+
"learning_rate": 9.89691135958757e-05,
|
| 848 |
+
"loss": 0.053181976079940796,
|
| 849 |
+
"mean_token_accuracy": 0.9792523324489594,
|
| 850 |
+
"num_tokens": 15652526.0,
|
| 851 |
+
"step": 830
|
| 852 |
+
},
|
| 853 |
+
{
|
| 854 |
+
"entropy": 0.946729838848114,
|
| 855 |
+
"epoch": 1.1305518169582773,
|
| 856 |
+
"grad_norm": 0.8246080279350281,
|
| 857 |
+
"learning_rate": 9.892366894179105e-05,
|
| 858 |
+
"loss": 0.054291915893554685,
|
| 859 |
+
"mean_token_accuracy": 0.9791357696056366,
|
| 860 |
+
"num_tokens": 15841340.0,
|
| 861 |
+
"step": 840
|
| 862 |
+
},
|
| 863 |
+
{
|
| 864 |
+
"entropy": 0.9433728814125061,
|
| 865 |
+
"epoch": 1.1440107671601616,
|
| 866 |
+
"grad_norm": 0.9200296401977539,
|
| 867 |
+
"learning_rate": 9.887725499545937e-05,
|
| 868 |
+
"loss": 0.05073915719985962,
|
| 869 |
+
"mean_token_accuracy": 0.9796931505203247,
|
| 870 |
+
"num_tokens": 16029478.0,
|
| 871 |
+
"step": 850
|
| 872 |
+
},
|
| 873 |
+
{
|
| 874 |
+
"entropy": 0.9494417488574982,
|
| 875 |
+
"epoch": 1.1574697173620458,
|
| 876 |
+
"grad_norm": 0.8342758417129517,
|
| 877 |
+
"learning_rate": 9.882987267644939e-05,
|
| 878 |
+
"loss": 0.050929927825927736,
|
| 879 |
+
"mean_token_accuracy": 0.9793219089508056,
|
| 880 |
+
"num_tokens": 16218014.0,
|
| 881 |
+
"step": 860
|
| 882 |
+
},
|
| 883 |
+
{
|
| 884 |
+
"entropy": 0.9409256100654602,
|
| 885 |
+
"epoch": 1.17092866756393,
|
| 886 |
+
"grad_norm": 0.7911009192466736,
|
| 887 |
+
"learning_rate": 9.878152292351563e-05,
|
| 888 |
+
"loss": 0.049964362382888795,
|
| 889 |
+
"mean_token_accuracy": 0.9798487305641175,
|
| 890 |
+
"num_tokens": 16406420.0,
|
| 891 |
+
"step": 870
|
| 892 |
+
},
|
| 893 |
+
{
|
| 894 |
+
"entropy": 0.9429958581924438,
|
| 895 |
+
"epoch": 1.1843876177658144,
|
| 896 |
+
"grad_norm": 1.4877018928527832,
|
| 897 |
+
"learning_rate": 9.873220669457975e-05,
|
| 898 |
+
"loss": 0.04969423711299896,
|
| 899 |
+
"mean_token_accuracy": 0.9801322638988494,
|
| 900 |
+
"num_tokens": 16594948.0,
|
| 901 |
+
"step": 880
|
| 902 |
+
},
|
| 903 |
+
{
|
| 904 |
+
"entropy": 0.9542136013507843,
|
| 905 |
+
"epoch": 1.1978465679676986,
|
| 906 |
+
"grad_norm": 0.8030785918235779,
|
| 907 |
+
"learning_rate": 9.868192496671147e-05,
|
| 908 |
+
"loss": 0.04981146454811096,
|
| 909 |
+
"mean_token_accuracy": 0.9796162784099579,
|
| 910 |
+
"num_tokens": 16782983.0,
|
| 911 |
+
"step": 890
|
| 912 |
+
},
|
| 913 |
+
{
|
| 914 |
+
"entropy": 0.9367722630500793,
|
| 915 |
+
"epoch": 1.2113055181695827,
|
| 916 |
+
"grad_norm": 1.1169800758361816,
|
| 917 |
+
"learning_rate": 9.86306787361094e-05,
|
| 918 |
+
"loss": 0.05210963487625122,
|
| 919 |
+
"mean_token_accuracy": 0.9790139615535736,
|
| 920 |
+
"num_tokens": 16971394.0,
|
| 921 |
+
"step": 900
|
| 922 |
+
},
|
| 923 |
+
{
|
| 924 |
+
"entropy": 0.9487208306789399,
|
| 925 |
+
"epoch": 1.224764468371467,
|
| 926 |
+
"grad_norm": 0.8650282621383667,
|
| 927 |
+
"learning_rate": 9.857846901808117e-05,
|
| 928 |
+
"loss": 0.05012243390083313,
|
| 929 |
+
"mean_token_accuracy": 0.9805107891559601,
|
| 930 |
+
"num_tokens": 17159951.0,
|
| 931 |
+
"step": 910
|
| 932 |
+
},
|
| 933 |
+
{
|
| 934 |
+
"entropy": 0.9441231489181519,
|
| 935 |
+
"epoch": 1.2382234185733512,
|
| 936 |
+
"grad_norm": 0.8193967938423157,
|
| 937 |
+
"learning_rate": 9.852529684702329e-05,
|
| 938 |
+
"loss": 0.048866665363311766,
|
| 939 |
+
"mean_token_accuracy": 0.9807584881782532,
|
| 940 |
+
"num_tokens": 17348711.0,
|
| 941 |
+
"step": 920
|
| 942 |
+
},
|
| 943 |
+
{
|
| 944 |
+
"entropy": 0.9361630439758301,
|
| 945 |
+
"epoch": 1.2516823687752354,
|
| 946 |
+
"grad_norm": 1.3613612651824951,
|
| 947 |
+
"learning_rate": 9.847116327640082e-05,
|
| 948 |
+
"loss": 0.05324091911315918,
|
| 949 |
+
"mean_token_accuracy": 0.97904953956604,
|
| 950 |
+
"num_tokens": 17537116.0,
|
| 951 |
+
"step": 930
|
| 952 |
+
},
|
| 953 |
+
{
|
| 954 |
+
"entropy": 0.9562997639179229,
|
| 955 |
+
"epoch": 1.2651413189771197,
|
| 956 |
+
"grad_norm": 0.8121878504753113,
|
| 957 |
+
"learning_rate": 9.841606937872632e-05,
|
| 958 |
+
"loss": 0.05011019706726074,
|
| 959 |
+
"mean_token_accuracy": 0.9798731088638306,
|
| 960 |
+
"num_tokens": 17725567.0,
|
| 961 |
+
"step": 940
|
| 962 |
+
},
|
| 963 |
+
{
|
| 964 |
+
"entropy": 0.9359076261520386,
|
| 965 |
+
"epoch": 1.278600269179004,
|
| 966 |
+
"grad_norm": 0.7838549613952637,
|
| 967 |
+
"learning_rate": 9.836001624553869e-05,
|
| 968 |
+
"loss": 0.04834386110305786,
|
| 969 |
+
"mean_token_accuracy": 0.9804529249668121,
|
| 970 |
+
"num_tokens": 17914191.0,
|
| 971 |
+
"step": 950
|
| 972 |
+
},
|
| 973 |
+
{
|
| 974 |
+
"entropy": 0.9527446150779724,
|
| 975 |
+
"epoch": 1.2920592193808882,
|
| 976 |
+
"grad_norm": 1.0981712341308594,
|
| 977 |
+
"learning_rate": 9.830300498738152e-05,
|
| 978 |
+
"loss": 0.055077624320983884,
|
| 979 |
+
"mean_token_accuracy": 0.9776535391807556,
|
| 980 |
+
"num_tokens": 18103184.0,
|
| 981 |
+
"step": 960
|
| 982 |
+
},
|
| 983 |
+
{
|
| 984 |
+
"entropy": 0.9574812948703766,
|
| 985 |
+
"epoch": 1.3055181695827724,
|
| 986 |
+
"grad_norm": 0.8291501402854919,
|
| 987 |
+
"learning_rate": 9.824503673378112e-05,
|
| 988 |
+
"loss": 0.050153911113739014,
|
| 989 |
+
"mean_token_accuracy": 0.9792965054512024,
|
| 990 |
+
"num_tokens": 18291351.0,
|
| 991 |
+
"step": 970
|
| 992 |
+
},
|
| 993 |
+
{
|
| 994 |
+
"entropy": 0.939585280418396,
|
| 995 |
+
"epoch": 1.3189771197846567,
|
| 996 |
+
"grad_norm": 1.0864412784576416,
|
| 997 |
+
"learning_rate": 9.81861126332241e-05,
|
| 998 |
+
"loss": 0.05132197737693787,
|
| 999 |
+
"mean_token_accuracy": 0.9792291462421417,
|
| 1000 |
+
"num_tokens": 18480192.0,
|
| 1001 |
+
"step": 980
|
| 1002 |
+
},
|
| 1003 |
+
{
|
| 1004 |
+
"entropy": 0.9468406856060028,
|
| 1005 |
+
"epoch": 1.332436069986541,
|
| 1006 |
+
"grad_norm": 0.9772785902023315,
|
| 1007 |
+
"learning_rate": 9.812623385313461e-05,
|
| 1008 |
+
"loss": 0.04844954013824463,
|
| 1009 |
+
"mean_token_accuracy": 0.9804142415523529,
|
| 1010 |
+
"num_tokens": 18669028.0,
|
| 1011 |
+
"step": 990
|
| 1012 |
+
},
|
| 1013 |
+
{
|
| 1014 |
+
"entropy": 0.9413834273815155,
|
| 1015 |
+
"epoch": 1.3458950201884252,
|
| 1016 |
+
"grad_norm": 0.9020094871520996,
|
| 1017 |
+
"learning_rate": 9.806540157985131e-05,
|
| 1018 |
+
"loss": 0.05075312852859497,
|
| 1019 |
+
"mean_token_accuracy": 0.9790591120719909,
|
| 1020 |
+
"num_tokens": 18857581.0,
|
| 1021 |
+
"step": 1000
|
| 1022 |
+
},
|
| 1023 |
+
{
|
| 1024 |
+
"entropy": 0.9526253461837768,
|
| 1025 |
+
"epoch": 1.3593539703903095,
|
| 1026 |
+
"grad_norm": 1.0524990558624268,
|
| 1027 |
+
"learning_rate": 9.800361701860368e-05,
|
| 1028 |
+
"loss": 0.049737372994422914,
|
| 1029 |
+
"mean_token_accuracy": 0.9795652389526367,
|
| 1030 |
+
"num_tokens": 19046105.0,
|
| 1031 |
+
"step": 1010
|
| 1032 |
+
},
|
| 1033 |
+
{
|
| 1034 |
+
"entropy": 0.9484909176826477,
|
| 1035 |
+
"epoch": 1.3728129205921937,
|
| 1036 |
+
"grad_norm": 1.0715620517730713,
|
| 1037 |
+
"learning_rate": 9.794088139348835e-05,
|
| 1038 |
+
"loss": 0.04935494959354401,
|
| 1039 |
+
"mean_token_accuracy": 0.9797740161418915,
|
| 1040 |
+
"num_tokens": 19234730.0,
|
| 1041 |
+
"step": 1020
|
| 1042 |
+
},
|
| 1043 |
+
{
|
| 1044 |
+
"entropy": 0.9398573458194732,
|
| 1045 |
+
"epoch": 1.386271870794078,
|
| 1046 |
+
"grad_norm": 1.2134987115859985,
|
| 1047 |
+
"learning_rate": 9.787719594744468e-05,
|
| 1048 |
+
"loss": 0.0518394410610199,
|
| 1049 |
+
"mean_token_accuracy": 0.9793788075447083,
|
| 1050 |
+
"num_tokens": 19423572.0,
|
| 1051 |
+
"step": 1030
|
| 1052 |
+
},
|
| 1053 |
+
{
|
| 1054 |
+
"entropy": 0.9465648651123046,
|
| 1055 |
+
"epoch": 1.3997308209959622,
|
| 1056 |
+
"grad_norm": 1.004693627357483,
|
| 1057 |
+
"learning_rate": 9.781256194223023e-05,
|
| 1058 |
+
"loss": 0.04776117205619812,
|
| 1059 |
+
"mean_token_accuracy": 0.9813261866569519,
|
| 1060 |
+
"num_tokens": 19612465.0,
|
| 1061 |
+
"step": 1040
|
| 1062 |
+
},
|
| 1063 |
+
{
|
| 1064 |
+
"entropy": 0.9448004186153411,
|
| 1065 |
+
"epoch": 1.4131897711978465,
|
| 1066 |
+
"grad_norm": 1.2913438081741333,
|
| 1067 |
+
"learning_rate": 9.774698065839577e-05,
|
| 1068 |
+
"loss": 0.04807930588722229,
|
| 1069 |
+
"mean_token_accuracy": 0.9805689513683319,
|
| 1070 |
+
"num_tokens": 19800482.0,
|
| 1071 |
+
"step": 1050
|
| 1072 |
+
},
|
| 1073 |
+
{
|
| 1074 |
+
"entropy": 0.9425322234630584,
|
| 1075 |
+
"epoch": 1.4266487213997308,
|
| 1076 |
+
"grad_norm": 1.1068469285964966,
|
| 1077 |
+
"learning_rate": 9.768045339525979e-05,
|
| 1078 |
+
"loss": 0.05053595900535583,
|
| 1079 |
+
"mean_token_accuracy": 0.9794536828994751,
|
| 1080 |
+
"num_tokens": 19989444.0,
|
| 1081 |
+
"step": 1060
|
| 1082 |
+
},
|
| 1083 |
+
{
|
| 1084 |
+
"entropy": 0.9472232103347779,
|
| 1085 |
+
"epoch": 1.440107671601615,
|
| 1086 |
+
"grad_norm": 0.7409384250640869,
|
| 1087 |
+
"learning_rate": 9.76129814708829e-05,
|
| 1088 |
+
"loss": 0.052136778831481934,
|
| 1089 |
+
"mean_token_accuracy": 0.979197359085083,
|
| 1090 |
+
"num_tokens": 20178482.0,
|
| 1091 |
+
"step": 1070
|
| 1092 |
+
},
|
| 1093 |
+
{
|
| 1094 |
+
"entropy": 0.9450975477695465,
|
| 1095 |
+
"epoch": 1.4535666218034993,
|
| 1096 |
+
"grad_norm": 1.3440778255462646,
|
| 1097 |
+
"learning_rate": 9.754456622204167e-05,
|
| 1098 |
+
"loss": 0.05258495211601257,
|
| 1099 |
+
"mean_token_accuracy": 0.9798152863979339,
|
| 1100 |
+
"num_tokens": 20367345.0,
|
| 1101 |
+
"step": 1080
|
| 1102 |
+
},
|
| 1103 |
+
{
|
| 1104 |
+
"entropy": 0.9468007743358612,
|
| 1105 |
+
"epoch": 1.4670255720053835,
|
| 1106 |
+
"grad_norm": 0.8377829194068909,
|
| 1107 |
+
"learning_rate": 9.747520900420209e-05,
|
| 1108 |
+
"loss": 0.04893603026866913,
|
| 1109 |
+
"mean_token_accuracy": 0.9805733859539032,
|
| 1110 |
+
"num_tokens": 20555817.0,
|
| 1111 |
+
"step": 1090
|
| 1112 |
+
},
|
| 1113 |
+
{
|
| 1114 |
+
"entropy": 0.9505827724933624,
|
| 1115 |
+
"epoch": 1.4804845222072678,
|
| 1116 |
+
"grad_norm": 0.776889979839325,
|
| 1117 |
+
"learning_rate": 9.740491119149277e-05,
|
| 1118 |
+
"loss": 0.05367119312286377,
|
| 1119 |
+
"mean_token_accuracy": 0.9779646098613739,
|
| 1120 |
+
"num_tokens": 20744001.0,
|
| 1121 |
+
"step": 1100
|
| 1122 |
+
},
|
| 1123 |
+
{
|
| 1124 |
+
"entropy": 0.9516380190849304,
|
| 1125 |
+
"epoch": 1.493943472409152,
|
| 1126 |
+
"grad_norm": 0.8598276376724243,
|
| 1127 |
+
"learning_rate": 9.733367417667773e-05,
|
| 1128 |
+
"loss": 0.05071394443511963,
|
| 1129 |
+
"mean_token_accuracy": 0.979692417383194,
|
| 1130 |
+
"num_tokens": 20931715.0,
|
| 1131 |
+
"step": 1110
|
| 1132 |
+
},
|
| 1133 |
+
{
|
| 1134 |
+
"entropy": 0.9351628720760345,
|
| 1135 |
+
"epoch": 1.5074024226110363,
|
| 1136 |
+
"grad_norm": 1.3307439088821411,
|
| 1137 |
+
"learning_rate": 9.726149937112873e-05,
|
| 1138 |
+
"loss": 0.051372635364532473,
|
| 1139 |
+
"mean_token_accuracy": 0.9797907948493958,
|
| 1140 |
+
"num_tokens": 21120803.0,
|
| 1141 |
+
"step": 1120
|
| 1142 |
+
},
|
| 1143 |
+
{
|
| 1144 |
+
"entropy": 0.9268040716648102,
|
| 1145 |
+
"epoch": 1.5208613728129206,
|
| 1146 |
+
"grad_norm": 0.9320250749588013,
|
| 1147 |
+
"learning_rate": 9.718838820479743e-05,
|
| 1148 |
+
"loss": 0.04939974546432495,
|
| 1149 |
+
"mean_token_accuracy": 0.98038170337677,
|
| 1150 |
+
"num_tokens": 21309384.0,
|
| 1151 |
+
"step": 1130
|
| 1152 |
+
},
|
| 1153 |
+
{
|
| 1154 |
+
"entropy": 0.9241463243961334,
|
| 1155 |
+
"epoch": 1.5343203230148048,
|
| 1156 |
+
"grad_norm": 1.065938115119934,
|
| 1157 |
+
"learning_rate": 9.711434212618691e-05,
|
| 1158 |
+
"loss": 0.04856643378734589,
|
| 1159 |
+
"mean_token_accuracy": 0.9800511121749877,
|
| 1160 |
+
"num_tokens": 21498234.0,
|
| 1161 |
+
"step": 1140
|
| 1162 |
+
},
|
| 1163 |
+
{
|
| 1164 |
+
"entropy": 0.9350252687931061,
|
| 1165 |
+
"epoch": 1.547779273216689,
|
| 1166 |
+
"grad_norm": 0.6925032138824463,
|
| 1167 |
+
"learning_rate": 9.703936260232308e-05,
|
| 1168 |
+
"loss": 0.0512526273727417,
|
| 1169 |
+
"mean_token_accuracy": 0.979562646150589,
|
| 1170 |
+
"num_tokens": 21687119.0,
|
| 1171 |
+
"step": 1150
|
| 1172 |
+
},
|
| 1173 |
+
{
|
| 1174 |
+
"entropy": 0.9403733670711517,
|
| 1175 |
+
"epoch": 1.5612382234185733,
|
| 1176 |
+
"grad_norm": 1.2069101333618164,
|
| 1177 |
+
"learning_rate": 9.696345111872557e-05,
|
| 1178 |
+
"loss": 0.049795085191726686,
|
| 1179 |
+
"mean_token_accuracy": 0.9806506633758545,
|
| 1180 |
+
"num_tokens": 21876094.0,
|
| 1181 |
+
"step": 1160
|
| 1182 |
+
},
|
| 1183 |
+
{
|
| 1184 |
+
"entropy": 0.9370538294315338,
|
| 1185 |
+
"epoch": 1.5746971736204576,
|
| 1186 |
+
"grad_norm": 1.1759546995162964,
|
| 1187 |
+
"learning_rate": 9.688660917937838e-05,
|
| 1188 |
+
"loss": 0.05461466312408447,
|
| 1189 |
+
"mean_token_accuracy": 0.9776057600975037,
|
| 1190 |
+
"num_tokens": 22064836.0,
|
| 1191 |
+
"step": 1170
|
| 1192 |
+
},
|
| 1193 |
+
{
|
| 1194 |
+
"entropy": 0.9517778217792511,
|
| 1195 |
+
"epoch": 1.5881561238223418,
|
| 1196 |
+
"grad_norm": 0.8965149521827698,
|
| 1197 |
+
"learning_rate": 9.68088383066999e-05,
|
| 1198 |
+
"loss": 0.05289326906204224,
|
| 1199 |
+
"mean_token_accuracy": 0.9782088756561279,
|
| 1200 |
+
"num_tokens": 22253065.0,
|
| 1201 |
+
"step": 1180
|
| 1202 |
+
},
|
| 1203 |
+
{
|
| 1204 |
+
"entropy": 0.9372851848602295,
|
| 1205 |
+
"epoch": 1.601615074024226,
|
| 1206 |
+
"grad_norm": 0.7192108631134033,
|
| 1207 |
+
"learning_rate": 9.673014004151292e-05,
|
| 1208 |
+
"loss": 0.048973691463470456,
|
| 1209 |
+
"mean_token_accuracy": 0.9806210815906524,
|
| 1210 |
+
"num_tokens": 22441206.0,
|
| 1211 |
+
"step": 1190
|
| 1212 |
+
},
|
| 1213 |
+
{
|
| 1214 |
+
"entropy": 0.9122351944446564,
|
| 1215 |
+
"epoch": 1.6150740242261103,
|
| 1216 |
+
"grad_norm": 0.8763614296913147,
|
| 1217 |
+
"learning_rate": 9.665051594301407e-05,
|
| 1218 |
+
"loss": 0.0461783230304718,
|
| 1219 |
+
"mean_token_accuracy": 0.9817197680473327,
|
| 1220 |
+
"num_tokens": 22629637.0,
|
| 1221 |
+
"step": 1200
|
| 1222 |
+
},
|
| 1223 |
+
{
|
| 1224 |
+
"entropy": 0.9162654876708984,
|
| 1225 |
+
"epoch": 1.6285329744279946,
|
| 1226 |
+
"grad_norm": 0.9806778430938721,
|
| 1227 |
+
"learning_rate": 9.656996758874284e-05,
|
| 1228 |
+
"loss": 0.04827338755130768,
|
| 1229 |
+
"mean_token_accuracy": 0.9806499361991883,
|
| 1230 |
+
"num_tokens": 22818369.0,
|
| 1231 |
+
"step": 1210
|
| 1232 |
+
},
|
| 1233 |
+
{
|
| 1234 |
+
"entropy": 0.9125026524066925,
|
| 1235 |
+
"epoch": 1.6419919246298789,
|
| 1236 |
+
"grad_norm": 0.9685350656509399,
|
| 1237 |
+
"learning_rate": 9.648849657455044e-05,
|
| 1238 |
+
"loss": 0.048379385471343996,
|
| 1239 |
+
"mean_token_accuracy": 0.980905145406723,
|
| 1240 |
+
"num_tokens": 23006863.0,
|
| 1241 |
+
"step": 1220
|
| 1242 |
+
},
|
| 1243 |
+
{
|
| 1244 |
+
"entropy": 0.9119791567325592,
|
| 1245 |
+
"epoch": 1.6554508748317631,
|
| 1246 |
+
"grad_norm": 0.8717457056045532,
|
| 1247 |
+
"learning_rate": 9.640610451456811e-05,
|
| 1248 |
+
"loss": 0.050873959064483644,
|
| 1249 |
+
"mean_token_accuracy": 0.979601925611496,
|
| 1250 |
+
"num_tokens": 23195735.0,
|
| 1251 |
+
"step": 1230
|
| 1252 |
+
},
|
| 1253 |
+
{
|
| 1254 |
+
"entropy": 0.9244007229804992,
|
| 1255 |
+
"epoch": 1.6689098250336474,
|
| 1256 |
+
"grad_norm": 1.0574654340744019,
|
| 1257 |
+
"learning_rate": 9.632279304117517e-05,
|
| 1258 |
+
"loss": 0.05112813711166382,
|
| 1259 |
+
"mean_token_accuracy": 0.979493772983551,
|
| 1260 |
+
"num_tokens": 23383862.0,
|
| 1261 |
+
"step": 1240
|
| 1262 |
+
},
|
| 1263 |
+
{
|
| 1264 |
+
"entropy": 0.9225810945034028,
|
| 1265 |
+
"epoch": 1.6823687752355316,
|
| 1266 |
+
"grad_norm": 0.9628807306289673,
|
| 1267 |
+
"learning_rate": 9.623856380496664e-05,
|
| 1268 |
+
"loss": 0.050480544567108154,
|
| 1269 |
+
"mean_token_accuracy": 0.9797678411006927,
|
| 1270 |
+
"num_tokens": 23572292.0,
|
| 1271 |
+
"step": 1250
|
| 1272 |
+
},
|
| 1273 |
+
{
|
| 1274 |
+
"entropy": 0.9287579476833343,
|
| 1275 |
+
"epoch": 1.695827725437416,
|
| 1276 |
+
"grad_norm": 1.015265941619873,
|
| 1277 |
+
"learning_rate": 9.615341847472059e-05,
|
| 1278 |
+
"loss": 0.05133126378059387,
|
| 1279 |
+
"mean_token_accuracy": 0.9797986805438995,
|
| 1280 |
+
"num_tokens": 23760252.0,
|
| 1281 |
+
"step": 1260
|
| 1282 |
+
},
|
| 1283 |
+
{
|
| 1284 |
+
"entropy": 0.9133845925331116,
|
| 1285 |
+
"epoch": 1.7092866756393001,
|
| 1286 |
+
"grad_norm": 0.8996883630752563,
|
| 1287 |
+
"learning_rate": 9.606735873736505e-05,
|
| 1288 |
+
"loss": 0.05044950246810913,
|
| 1289 |
+
"mean_token_accuracy": 0.9795303404331207,
|
| 1290 |
+
"num_tokens": 23949031.0,
|
| 1291 |
+
"step": 1270
|
| 1292 |
+
},
|
| 1293 |
+
{
|
| 1294 |
+
"entropy": 0.9213698863983154,
|
| 1295 |
+
"epoch": 1.7227456258411844,
|
| 1296 |
+
"grad_norm": 1.0490264892578125,
|
| 1297 |
+
"learning_rate": 9.598038629794461e-05,
|
| 1298 |
+
"loss": 0.04797698855400086,
|
| 1299 |
+
"mean_token_accuracy": 0.9806023716926575,
|
| 1300 |
+
"num_tokens": 24137829.0,
|
| 1301 |
+
"step": 1280
|
| 1302 |
+
},
|
| 1303 |
+
{
|
| 1304 |
+
"entropy": 0.9173697710037232,
|
| 1305 |
+
"epoch": 1.7362045760430687,
|
| 1306 |
+
"grad_norm": 1.3648769855499268,
|
| 1307 |
+
"learning_rate": 9.589250287958657e-05,
|
| 1308 |
+
"loss": 0.049194514751434326,
|
| 1309 |
+
"mean_token_accuracy": 0.980712479352951,
|
| 1310 |
+
"num_tokens": 24326586.0,
|
| 1311 |
+
"step": 1290
|
| 1312 |
+
},
|
| 1313 |
+
{
|
| 1314 |
+
"entropy": 0.9242741882801055,
|
| 1315 |
+
"epoch": 1.749663526244953,
|
| 1316 |
+
"grad_norm": 1.105125069618225,
|
| 1317 |
+
"learning_rate": 9.580371022346693e-05,
|
| 1318 |
+
"loss": 0.048667973279953,
|
| 1319 |
+
"mean_token_accuracy": 0.9801449298858642,
|
| 1320 |
+
"num_tokens": 24514904.0,
|
| 1321 |
+
"step": 1300
|
| 1322 |
+
},
|
| 1323 |
+
{
|
| 1324 |
+
"entropy": 0.9162627995014191,
|
| 1325 |
+
"epoch": 1.7631224764468372,
|
| 1326 |
+
"grad_norm": 0.8887938857078552,
|
| 1327 |
+
"learning_rate": 9.571401008877572e-05,
|
| 1328 |
+
"loss": 0.04878672957420349,
|
| 1329 |
+
"mean_token_accuracy": 0.980469423532486,
|
| 1330 |
+
"num_tokens": 24703688.0,
|
| 1331 |
+
"step": 1310
|
| 1332 |
+
},
|
| 1333 |
+
{
|
| 1334 |
+
"entropy": 0.9149538338184356,
|
| 1335 |
+
"epoch": 1.7765814266487214,
|
| 1336 |
+
"grad_norm": 0.8838976621627808,
|
| 1337 |
+
"learning_rate": 9.562340425268233e-05,
|
| 1338 |
+
"loss": 0.04892318844795227,
|
| 1339 |
+
"mean_token_accuracy": 0.9808776795864105,
|
| 1340 |
+
"num_tokens": 24892107.0,
|
| 1341 |
+
"step": 1320
|
| 1342 |
+
},
|
| 1343 |
+
{
|
| 1344 |
+
"entropy": 0.914735221862793,
|
| 1345 |
+
"epoch": 1.7900403768506057,
|
| 1346 |
+
"grad_norm": 1.1152070760726929,
|
| 1347 |
+
"learning_rate": 9.553189451030019e-05,
|
| 1348 |
+
"loss": 0.04825109839439392,
|
| 1349 |
+
"mean_token_accuracy": 0.9804604113101959,
|
| 1350 |
+
"num_tokens": 25080130.0,
|
| 1351 |
+
"step": 1330
|
| 1352 |
+
},
|
| 1353 |
+
{
|
| 1354 |
+
"entropy": 0.9170725226402283,
|
| 1355 |
+
"epoch": 1.80349932705249,
|
| 1356 |
+
"grad_norm": 0.9479517340660095,
|
| 1357 |
+
"learning_rate": 9.543948267465115e-05,
|
| 1358 |
+
"loss": 0.051445144414901736,
|
| 1359 |
+
"mean_token_accuracy": 0.9792819261550904,
|
| 1360 |
+
"num_tokens": 25268652.0,
|
| 1361 |
+
"step": 1340
|
| 1362 |
+
},
|
| 1363 |
+
{
|
| 1364 |
+
"entropy": 0.9142911911010743,
|
| 1365 |
+
"epoch": 1.8169582772543742,
|
| 1366 |
+
"grad_norm": 0.8172292709350586,
|
| 1367 |
+
"learning_rate": 9.534617057662977e-05,
|
| 1368 |
+
"loss": 0.0475692093372345,
|
| 1369 |
+
"mean_token_accuracy": 0.9809505581855774,
|
| 1370 |
+
"num_tokens": 25457120.0,
|
| 1371 |
+
"step": 1350
|
| 1372 |
+
},
|
| 1373 |
+
{
|
| 1374 |
+
"entropy": 0.9019249439239502,
|
| 1375 |
+
"epoch": 1.8304172274562585,
|
| 1376 |
+
"grad_norm": 0.8183121681213379,
|
| 1377 |
+
"learning_rate": 9.525196006496679e-05,
|
| 1378 |
+
"loss": 0.04979957342147827,
|
| 1379 |
+
"mean_token_accuracy": 0.9799730658531189,
|
| 1380 |
+
"num_tokens": 25645699.0,
|
| 1381 |
+
"step": 1360
|
| 1382 |
+
},
|
| 1383 |
+
{
|
| 1384 |
+
"entropy": 0.9181066155433655,
|
| 1385 |
+
"epoch": 1.8438761776581427,
|
| 1386 |
+
"grad_norm": 0.8256579041481018,
|
| 1387 |
+
"learning_rate": 9.515685300619271e-05,
|
| 1388 |
+
"loss": 0.04996164441108704,
|
| 1389 |
+
"mean_token_accuracy": 0.9802247405052185,
|
| 1390 |
+
"num_tokens": 25834183.0,
|
| 1391 |
+
"step": 1370
|
| 1392 |
+
},
|
| 1393 |
+
{
|
| 1394 |
+
"entropy": 0.9171363770961761,
|
| 1395 |
+
"epoch": 1.857335127860027,
|
| 1396 |
+
"grad_norm": 0.9727098345756531,
|
| 1397 |
+
"learning_rate": 9.506085128460065e-05,
|
| 1398 |
+
"loss": 0.048660767078399655,
|
| 1399 |
+
"mean_token_accuracy": 0.9805064260959625,
|
| 1400 |
+
"num_tokens": 26023317.0,
|
| 1401 |
+
"step": 1380
|
| 1402 |
+
},
|
| 1403 |
+
{
|
| 1404 |
+
"entropy": 0.9112720847129822,
|
| 1405 |
+
"epoch": 1.8707940780619112,
|
| 1406 |
+
"grad_norm": 0.9826673865318298,
|
| 1407 |
+
"learning_rate": 9.496395680220918e-05,
|
| 1408 |
+
"loss": 0.04775593280792236,
|
| 1409 |
+
"mean_token_accuracy": 0.9809929549694061,
|
| 1410 |
+
"num_tokens": 26212115.0,
|
| 1411 |
+
"step": 1390
|
| 1412 |
+
},
|
| 1413 |
+
{
|
| 1414 |
+
"entropy": 0.9034272134304047,
|
| 1415 |
+
"epoch": 1.8842530282637955,
|
| 1416 |
+
"grad_norm": 0.9951306581497192,
|
| 1417 |
+
"learning_rate": 9.486617147872446e-05,
|
| 1418 |
+
"loss": 0.04939360618591308,
|
| 1419 |
+
"mean_token_accuracy": 0.9800347864627839,
|
| 1420 |
+
"num_tokens": 26401167.0,
|
| 1421 |
+
"step": 1400
|
| 1422 |
+
},
|
| 1423 |
+
{
|
| 1424 |
+
"entropy": 0.897865754365921,
|
| 1425 |
+
"epoch": 1.8977119784656797,
|
| 1426 |
+
"grad_norm": 1.0163404941558838,
|
| 1427 |
+
"learning_rate": 9.476749725150235e-05,
|
| 1428 |
+
"loss": 0.05002856254577637,
|
| 1429 |
+
"mean_token_accuracy": 0.9793690323829651,
|
| 1430 |
+
"num_tokens": 26590570.0,
|
| 1431 |
+
"step": 1410
|
| 1432 |
+
},
|
| 1433 |
+
{
|
| 1434 |
+
"entropy": 0.9004576802253723,
|
| 1435 |
+
"epoch": 1.911170928667564,
|
| 1436 |
+
"grad_norm": 0.6666616201400757,
|
| 1437 |
+
"learning_rate": 9.466793607550995e-05,
|
| 1438 |
+
"loss": 0.04905453026294708,
|
| 1439 |
+
"mean_token_accuracy": 0.9803856253623963,
|
| 1440 |
+
"num_tokens": 26779481.0,
|
| 1441 |
+
"step": 1420
|
| 1442 |
+
},
|
| 1443 |
+
{
|
| 1444 |
+
"entropy": 0.8978902101516724,
|
| 1445 |
+
"epoch": 1.9246298788694483,
|
| 1446 |
+
"grad_norm": 0.9295416474342346,
|
| 1447 |
+
"learning_rate": 9.45674899232869e-05,
|
| 1448 |
+
"loss": 0.05261261463165283,
|
| 1449 |
+
"mean_token_accuracy": 0.9785708487033844,
|
| 1450 |
+
"num_tokens": 26968262.0,
|
| 1451 |
+
"step": 1430
|
| 1452 |
+
},
|
| 1453 |
+
{
|
| 1454 |
+
"entropy": 0.8962675571441651,
|
| 1455 |
+
"epoch": 1.9380888290713325,
|
| 1456 |
+
"grad_norm": 0.88262939453125,
|
| 1457 |
+
"learning_rate": 9.446616078490626e-05,
|
| 1458 |
+
"loss": 0.04765265882015228,
|
| 1459 |
+
"mean_token_accuracy": 0.98052077293396,
|
| 1460 |
+
"num_tokens": 27157631.0,
|
| 1461 |
+
"step": 1440
|
| 1462 |
+
},
|
| 1463 |
+
{
|
| 1464 |
+
"entropy": 0.8909463047981262,
|
| 1465 |
+
"epoch": 1.9515477792732168,
|
| 1466 |
+
"grad_norm": 1.4205769300460815,
|
| 1467 |
+
"learning_rate": 9.436395066793518e-05,
|
| 1468 |
+
"loss": 0.049406200647354126,
|
| 1469 |
+
"mean_token_accuracy": 0.979697072505951,
|
| 1470 |
+
"num_tokens": 27345921.0,
|
| 1471 |
+
"step": 1450
|
| 1472 |
+
},
|
| 1473 |
+
{
|
| 1474 |
+
"entropy": 0.8969364166259766,
|
| 1475 |
+
"epoch": 1.965006729475101,
|
| 1476 |
+
"grad_norm": 0.9517145752906799,
|
| 1477 |
+
"learning_rate": 9.426086159739496e-05,
|
| 1478 |
+
"loss": 0.0510346531867981,
|
| 1479 |
+
"mean_token_accuracy": 0.9793386399745941,
|
| 1480 |
+
"num_tokens": 27534751.0,
|
| 1481 |
+
"step": 1460
|
| 1482 |
+
},
|
| 1483 |
+
{
|
| 1484 |
+
"entropy": 0.9092479169368743,
|
| 1485 |
+
"epoch": 1.9784656796769853,
|
| 1486 |
+
"grad_norm": 1.200056791305542,
|
| 1487 |
+
"learning_rate": 9.415689561572107e-05,
|
| 1488 |
+
"loss": 0.04974203705787659,
|
| 1489 |
+
"mean_token_accuracy": 0.9800146698951722,
|
| 1490 |
+
"num_tokens": 27723763.0,
|
| 1491 |
+
"step": 1470
|
| 1492 |
+
},
|
| 1493 |
+
{
|
| 1494 |
+
"entropy": 0.9059641897678375,
|
| 1495 |
+
"epoch": 1.9919246298788695,
|
| 1496 |
+
"grad_norm": 1.072447657585144,
|
| 1497 |
+
"learning_rate": 9.405205478272267e-05,
|
| 1498 |
+
"loss": 0.05065792202949524,
|
| 1499 |
+
"mean_token_accuracy": 0.9799223959445953,
|
| 1500 |
+
"num_tokens": 27911784.0,
|
| 1501 |
+
"step": 1480
|
| 1502 |
+
},
|
| 1503 |
+
{
|
| 1504 |
+
"epoch": 2.0,
|
| 1505 |
+
"eval_entropy": 0.9083398975384464,
|
| 1506 |
+
"eval_loss": 0.05432562157511711,
|
| 1507 |
+
"eval_mean_token_accuracy": 0.9782073607869969,
|
| 1508 |
+
"eval_num_tokens": 28025286.0,
|
| 1509 |
+
"eval_runtime": 24.4304,
|
| 1510 |
+
"eval_samples_per_second": 204.663,
|
| 1511 |
+
"eval_steps_per_second": 6.426,
|
| 1512 |
+
"step": 1486
|
| 1513 |
+
}
|
| 1514 |
+
],
|
| 1515 |
+
"logging_steps": 10,
|
| 1516 |
+
"max_steps": 7430,
|
| 1517 |
+
"num_input_tokens_seen": 0,
|
| 1518 |
+
"num_train_epochs": 10,
|
| 1519 |
+
"save_steps": 500,
|
| 1520 |
+
"stateful_callbacks": {
|
| 1521 |
+
"TrainerControl": {
|
| 1522 |
+
"args": {
|
| 1523 |
+
"should_epoch_stop": false,
|
| 1524 |
+
"should_evaluate": false,
|
| 1525 |
+
"should_log": false,
|
| 1526 |
+
"should_save": true,
|
| 1527 |
+
"should_training_stop": false
|
| 1528 |
+
},
|
| 1529 |
+
"attributes": {}
|
| 1530 |
+
}
|
| 1531 |
+
},
|
| 1532 |
+
"total_flos": 1.354349504005931e+18,
|
| 1533 |
+
"train_batch_size": 32,
|
| 1534 |
+
"trial_name": null,
|
| 1535 |
+
"trial_params": null
|
| 1536 |
+
}
|
baby_talk_L16_a50/seed_42/checkpoint-1486/training_args.bin
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:c060e97b69d99564c146471c3d3ac4d335e3b1968074124f4edc5aebf612e1e3
|
| 3 |
+
size 5368
|
baby_talk_L16_a50/seed_42/checkpoint-2229/README.md
ADDED
|
@@ -0,0 +1,209 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
---
|
| 2 |
+
base_model: Qwen/Qwen2.5-7B-Instruct
|
| 3 |
+
library_name: peft
|
| 4 |
+
pipeline_tag: text-generation
|
| 5 |
+
tags:
|
| 6 |
+
- base_model:adapter:Qwen/Qwen2.5-7B-Instruct
|
| 7 |
+
- lora
|
| 8 |
+
- sft
|
| 9 |
+
- transformers
|
| 10 |
+
- trl
|
| 11 |
+
---
|
| 12 |
+
|
| 13 |
+
# Model Card for Model ID
|
| 14 |
+
|
| 15 |
+
<!-- Provide a quick summary of what the model is/does. -->
|
| 16 |
+
|
| 17 |
+
|
| 18 |
+
|
| 19 |
+
## Model Details
|
| 20 |
+
|
| 21 |
+
### Model Description
|
| 22 |
+
|
| 23 |
+
<!-- Provide a longer summary of what this model is. -->
|
| 24 |
+
|
| 25 |
+
|
| 26 |
+
|
| 27 |
+
- **Developed by:** [More Information Needed]
|
| 28 |
+
- **Funded by [optional]:** [More Information Needed]
|
| 29 |
+
- **Shared by [optional]:** [More Information Needed]
|
| 30 |
+
- **Model type:** [More Information Needed]
|
| 31 |
+
- **Language(s) (NLP):** [More Information Needed]
|
| 32 |
+
- **License:** [More Information Needed]
|
| 33 |
+
- **Finetuned from model [optional]:** [More Information Needed]
|
| 34 |
+
|
| 35 |
+
### Model Sources [optional]
|
| 36 |
+
|
| 37 |
+
<!-- Provide the basic links for the model. -->
|
| 38 |
+
|
| 39 |
+
- **Repository:** [More Information Needed]
|
| 40 |
+
- **Paper [optional]:** [More Information Needed]
|
| 41 |
+
- **Demo [optional]:** [More Information Needed]
|
| 42 |
+
|
| 43 |
+
## Uses
|
| 44 |
+
|
| 45 |
+
<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
|
| 46 |
+
|
| 47 |
+
### Direct Use
|
| 48 |
+
|
| 49 |
+
<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
|
| 50 |
+
|
| 51 |
+
[More Information Needed]
|
| 52 |
+
|
| 53 |
+
### Downstream Use [optional]
|
| 54 |
+
|
| 55 |
+
<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
|
| 56 |
+
|
| 57 |
+
[More Information Needed]
|
| 58 |
+
|
| 59 |
+
### Out-of-Scope Use
|
| 60 |
+
|
| 61 |
+
<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
|
| 62 |
+
|
| 63 |
+
[More Information Needed]
|
| 64 |
+
|
| 65 |
+
## Bias, Risks, and Limitations
|
| 66 |
+
|
| 67 |
+
<!-- This section is meant to convey both technical and sociotechnical limitations. -->
|
| 68 |
+
|
| 69 |
+
[More Information Needed]
|
| 70 |
+
|
| 71 |
+
### Recommendations
|
| 72 |
+
|
| 73 |
+
<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
|
| 74 |
+
|
| 75 |
+
Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
|
| 76 |
+
|
| 77 |
+
## How to Get Started with the Model
|
| 78 |
+
|
| 79 |
+
Use the code below to get started with the model.
|
| 80 |
+
|
| 81 |
+
[More Information Needed]
|
| 82 |
+
|
| 83 |
+
## Training Details
|
| 84 |
+
|
| 85 |
+
### Training Data
|
| 86 |
+
|
| 87 |
+
<!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
|
| 88 |
+
|
| 89 |
+
[More Information Needed]
|
| 90 |
+
|
| 91 |
+
### Training Procedure
|
| 92 |
+
|
| 93 |
+
<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
|
| 94 |
+
|
| 95 |
+
#### Preprocessing [optional]
|
| 96 |
+
|
| 97 |
+
[More Information Needed]
|
| 98 |
+
|
| 99 |
+
|
| 100 |
+
#### Training Hyperparameters
|
| 101 |
+
|
| 102 |
+
- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
|
| 103 |
+
|
| 104 |
+
#### Speeds, Sizes, Times [optional]
|
| 105 |
+
|
| 106 |
+
<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
|
| 107 |
+
|
| 108 |
+
[More Information Needed]
|
| 109 |
+
|
| 110 |
+
## Evaluation
|
| 111 |
+
|
| 112 |
+
<!-- This section describes the evaluation protocols and provides the results. -->
|
| 113 |
+
|
| 114 |
+
### Testing Data, Factors & Metrics
|
| 115 |
+
|
| 116 |
+
#### Testing Data
|
| 117 |
+
|
| 118 |
+
<!-- This should link to a Dataset Card if possible. -->
|
| 119 |
+
|
| 120 |
+
[More Information Needed]
|
| 121 |
+
|
| 122 |
+
#### Factors
|
| 123 |
+
|
| 124 |
+
<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
|
| 125 |
+
|
| 126 |
+
[More Information Needed]
|
| 127 |
+
|
| 128 |
+
#### Metrics
|
| 129 |
+
|
| 130 |
+
<!-- These are the evaluation metrics being used, ideally with a description of why. -->
|
| 131 |
+
|
| 132 |
+
[More Information Needed]
|
| 133 |
+
|
| 134 |
+
### Results
|
| 135 |
+
|
| 136 |
+
[More Information Needed]
|
| 137 |
+
|
| 138 |
+
#### Summary
|
| 139 |
+
|
| 140 |
+
|
| 141 |
+
|
| 142 |
+
## Model Examination [optional]
|
| 143 |
+
|
| 144 |
+
<!-- Relevant interpretability work for the model goes here -->
|
| 145 |
+
|
| 146 |
+
[More Information Needed]
|
| 147 |
+
|
| 148 |
+
## Environmental Impact
|
| 149 |
+
|
| 150 |
+
<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
|
| 151 |
+
|
| 152 |
+
Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
|
| 153 |
+
|
| 154 |
+
- **Hardware Type:** [More Information Needed]
|
| 155 |
+
- **Hours used:** [More Information Needed]
|
| 156 |
+
- **Cloud Provider:** [More Information Needed]
|
| 157 |
+
- **Compute Region:** [More Information Needed]
|
| 158 |
+
- **Carbon Emitted:** [More Information Needed]
|
| 159 |
+
|
| 160 |
+
## Technical Specifications [optional]
|
| 161 |
+
|
| 162 |
+
### Model Architecture and Objective
|
| 163 |
+
|
| 164 |
+
[More Information Needed]
|
| 165 |
+
|
| 166 |
+
### Compute Infrastructure
|
| 167 |
+
|
| 168 |
+
[More Information Needed]
|
| 169 |
+
|
| 170 |
+
#### Hardware
|
| 171 |
+
|
| 172 |
+
[More Information Needed]
|
| 173 |
+
|
| 174 |
+
#### Software
|
| 175 |
+
|
| 176 |
+
[More Information Needed]
|
| 177 |
+
|
| 178 |
+
## Citation [optional]
|
| 179 |
+
|
| 180 |
+
<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
|
| 181 |
+
|
| 182 |
+
**BibTeX:**
|
| 183 |
+
|
| 184 |
+
[More Information Needed]
|
| 185 |
+
|
| 186 |
+
**APA:**
|
| 187 |
+
|
| 188 |
+
[More Information Needed]
|
| 189 |
+
|
| 190 |
+
## Glossary [optional]
|
| 191 |
+
|
| 192 |
+
<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
|
| 193 |
+
|
| 194 |
+
[More Information Needed]
|
| 195 |
+
|
| 196 |
+
## More Information [optional]
|
| 197 |
+
|
| 198 |
+
[More Information Needed]
|
| 199 |
+
|
| 200 |
+
## Model Card Authors [optional]
|
| 201 |
+
|
| 202 |
+
[More Information Needed]
|
| 203 |
+
|
| 204 |
+
## Model Card Contact
|
| 205 |
+
|
| 206 |
+
[More Information Needed]
|
| 207 |
+
### Framework versions
|
| 208 |
+
|
| 209 |
+
- PEFT 0.18.1
|
baby_talk_L16_a50/seed_42/checkpoint-2229/adapter_config.json
ADDED
|
@@ -0,0 +1,46 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"alora_invocation_tokens": null,
|
| 3 |
+
"alpha_pattern": {},
|
| 4 |
+
"arrow_config": null,
|
| 5 |
+
"auto_mapping": null,
|
| 6 |
+
"base_model_name_or_path": "Qwen/Qwen2.5-7B-Instruct",
|
| 7 |
+
"bias": "none",
|
| 8 |
+
"corda_config": null,
|
| 9 |
+
"ensure_weight_tying": false,
|
| 10 |
+
"eva_config": null,
|
| 11 |
+
"exclude_modules": null,
|
| 12 |
+
"fan_in_fan_out": false,
|
| 13 |
+
"inference_mode": true,
|
| 14 |
+
"init_lora_weights": true,
|
| 15 |
+
"layer_replication": null,
|
| 16 |
+
"layers_pattern": null,
|
| 17 |
+
"layers_to_transform": null,
|
| 18 |
+
"loftq_config": {},
|
| 19 |
+
"lora_alpha": 32,
|
| 20 |
+
"lora_bias": false,
|
| 21 |
+
"lora_dropout": 0.05,
|
| 22 |
+
"megatron_config": null,
|
| 23 |
+
"megatron_core": "megatron.core",
|
| 24 |
+
"modules_to_save": null,
|
| 25 |
+
"peft_type": "LORA",
|
| 26 |
+
"peft_version": "0.18.1",
|
| 27 |
+
"qalora_group_size": 16,
|
| 28 |
+
"r": 8,
|
| 29 |
+
"rank_pattern": {},
|
| 30 |
+
"revision": null,
|
| 31 |
+
"target_modules": [
|
| 32 |
+
"v_proj",
|
| 33 |
+
"gate_proj",
|
| 34 |
+
"o_proj",
|
| 35 |
+
"q_proj",
|
| 36 |
+
"up_proj",
|
| 37 |
+
"down_proj",
|
| 38 |
+
"k_proj"
|
| 39 |
+
],
|
| 40 |
+
"target_parameters": null,
|
| 41 |
+
"task_type": "CAUSAL_LM",
|
| 42 |
+
"trainable_token_indices": null,
|
| 43 |
+
"use_dora": false,
|
| 44 |
+
"use_qalora": false,
|
| 45 |
+
"use_rslora": false
|
| 46 |
+
}
|
baby_talk_L16_a50/seed_42/checkpoint-2229/adapter_model.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:4856a0dd4492eb4739022e51bb114447d83247dbcdb18ebd5b5ff49f7386c5e5
|
| 3 |
+
size 80792096
|
baby_talk_L16_a50/seed_42/checkpoint-2229/chat_template.jinja
ADDED
|
@@ -0,0 +1,54 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{%- if tools %}
|
| 2 |
+
{{- '<|im_start|>system\n' }}
|
| 3 |
+
{%- if messages[0]['role'] == 'system' %}
|
| 4 |
+
{{- messages[0]['content'] }}
|
| 5 |
+
{%- else %}
|
| 6 |
+
{{- 'You are Qwen, created by Alibaba Cloud. You are a helpful assistant.' }}
|
| 7 |
+
{%- endif %}
|
| 8 |
+
{{- "\n\n# Tools\n\nYou may call one or more functions to assist with the user query.\n\nYou are provided with function signatures within <tools></tools> XML tags:\n<tools>" }}
|
| 9 |
+
{%- for tool in tools %}
|
| 10 |
+
{{- "\n" }}
|
| 11 |
+
{{- tool | tojson }}
|
| 12 |
+
{%- endfor %}
|
| 13 |
+
{{- "\n</tools>\n\nFor each function call, return a json object with function name and arguments within <tool_call></tool_call> XML tags:\n<tool_call>\n{\"name\": <function-name>, \"arguments\": <args-json-object>}\n</tool_call><|im_end|>\n" }}
|
| 14 |
+
{%- else %}
|
| 15 |
+
{%- if messages[0]['role'] == 'system' %}
|
| 16 |
+
{{- '<|im_start|>system\n' + messages[0]['content'] + '<|im_end|>\n' }}
|
| 17 |
+
{%- else %}
|
| 18 |
+
{{- '<|im_start|>system\nYou are Qwen, created by Alibaba Cloud. You are a helpful assistant.<|im_end|>\n' }}
|
| 19 |
+
{%- endif %}
|
| 20 |
+
{%- endif %}
|
| 21 |
+
{%- for message in messages %}
|
| 22 |
+
{%- if (message.role == "user") or (message.role == "system" and not loop.first) or (message.role == "assistant" and not message.tool_calls) %}
|
| 23 |
+
{{- '<|im_start|>' + message.role + '\n' + message.content + '<|im_end|>' + '\n' }}
|
| 24 |
+
{%- elif message.role == "assistant" %}
|
| 25 |
+
{{- '<|im_start|>' + message.role }}
|
| 26 |
+
{%- if message.content %}
|
| 27 |
+
{{- '\n' + message.content }}
|
| 28 |
+
{%- endif %}
|
| 29 |
+
{%- for tool_call in message.tool_calls %}
|
| 30 |
+
{%- if tool_call.function is defined %}
|
| 31 |
+
{%- set tool_call = tool_call.function %}
|
| 32 |
+
{%- endif %}
|
| 33 |
+
{{- '\n<tool_call>\n{"name": "' }}
|
| 34 |
+
{{- tool_call.name }}
|
| 35 |
+
{{- '", "arguments": ' }}
|
| 36 |
+
{{- tool_call.arguments | tojson }}
|
| 37 |
+
{{- '}\n</tool_call>' }}
|
| 38 |
+
{%- endfor %}
|
| 39 |
+
{{- '<|im_end|>\n' }}
|
| 40 |
+
{%- elif message.role == "tool" %}
|
| 41 |
+
{%- if (loop.index0 == 0) or (messages[loop.index0 - 1].role != "tool") %}
|
| 42 |
+
{{- '<|im_start|>user' }}
|
| 43 |
+
{%- endif %}
|
| 44 |
+
{{- '\n<tool_response>\n' }}
|
| 45 |
+
{{- message.content }}
|
| 46 |
+
{{- '\n</tool_response>' }}
|
| 47 |
+
{%- if loop.last or (messages[loop.index0 + 1].role != "tool") %}
|
| 48 |
+
{{- '<|im_end|>\n' }}
|
| 49 |
+
{%- endif %}
|
| 50 |
+
{%- endif %}
|
| 51 |
+
{%- endfor %}
|
| 52 |
+
{%- if add_generation_prompt %}
|
| 53 |
+
{{- '<|im_start|>assistant\n' }}
|
| 54 |
+
{%- endif %}
|
baby_talk_L16_a50/seed_42/checkpoint-2229/tokenizer.json
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:3fd169731d2cbde95e10bf356d66d5997fd885dd8dbb6fb4684da3f23b2585d8
|
| 3 |
+
size 11421892
|
baby_talk_L16_a50/seed_42/checkpoint-2229/tokenizer_config.json
ADDED
|
@@ -0,0 +1,29 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"add_prefix_space": false,
|
| 3 |
+
"backend": "tokenizers",
|
| 4 |
+
"bos_token": null,
|
| 5 |
+
"clean_up_tokenization_spaces": false,
|
| 6 |
+
"eos_token": "<|im_end|>",
|
| 7 |
+
"errors": "replace",
|
| 8 |
+
"extra_special_tokens": [
|
| 9 |
+
"<|im_start|>",
|
| 10 |
+
"<|im_end|>",
|
| 11 |
+
"<|object_ref_start|>",
|
| 12 |
+
"<|object_ref_end|>",
|
| 13 |
+
"<|box_start|>",
|
| 14 |
+
"<|box_end|>",
|
| 15 |
+
"<|quad_start|>",
|
| 16 |
+
"<|quad_end|>",
|
| 17 |
+
"<|vision_start|>",
|
| 18 |
+
"<|vision_end|>",
|
| 19 |
+
"<|vision_pad|>",
|
| 20 |
+
"<|image_pad|>",
|
| 21 |
+
"<|video_pad|>"
|
| 22 |
+
],
|
| 23 |
+
"is_local": false,
|
| 24 |
+
"model_max_length": 131072,
|
| 25 |
+
"pad_token": "<|endoftext|>",
|
| 26 |
+
"split_special_tokens": false,
|
| 27 |
+
"tokenizer_class": "Qwen2Tokenizer",
|
| 28 |
+
"unk_token": null
|
| 29 |
+
}
|
baby_talk_L16_a50/seed_42/checkpoint-2229/trainer_state.json
ADDED
|
@@ -0,0 +1,2287 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"best_global_step": null,
|
| 3 |
+
"best_metric": null,
|
| 4 |
+
"best_model_checkpoint": null,
|
| 5 |
+
"epoch": 3.0,
|
| 6 |
+
"eval_steps": 500,
|
| 7 |
+
"global_step": 2229,
|
| 8 |
+
"is_hyper_param_search": false,
|
| 9 |
+
"is_local_process_zero": true,
|
| 10 |
+
"is_world_process_zero": true,
|
| 11 |
+
"log_history": [
|
| 12 |
+
{
|
| 13 |
+
"entropy": 1.2358420491218567,
|
| 14 |
+
"epoch": 0.013458950201884253,
|
| 15 |
+
"grad_norm": 3.2940118312835693,
|
| 16 |
+
"learning_rate": 2.4193548387096776e-06,
|
| 17 |
+
"loss": 0.550364351272583,
|
| 18 |
+
"mean_token_accuracy": 0.8554959416389465,
|
| 19 |
+
"num_tokens": 188811.0,
|
| 20 |
+
"step": 10
|
| 21 |
+
},
|
| 22 |
+
{
|
| 23 |
+
"entropy": 1.2353882431983947,
|
| 24 |
+
"epoch": 0.026917900403768506,
|
| 25 |
+
"grad_norm": 3.4476470947265625,
|
| 26 |
+
"learning_rate": 5.1075268817204305e-06,
|
| 27 |
+
"loss": 0.5143545627593994,
|
| 28 |
+
"mean_token_accuracy": 0.8613634884357453,
|
| 29 |
+
"num_tokens": 377729.0,
|
| 30 |
+
"step": 20
|
| 31 |
+
},
|
| 32 |
+
{
|
| 33 |
+
"entropy": 1.2403772234916688,
|
| 34 |
+
"epoch": 0.040376850605652756,
|
| 35 |
+
"grad_norm": 2.2756996154785156,
|
| 36 |
+
"learning_rate": 7.795698924731183e-06,
|
| 37 |
+
"loss": 0.3996511220932007,
|
| 38 |
+
"mean_token_accuracy": 0.8753438770771027,
|
| 39 |
+
"num_tokens": 566562.0,
|
| 40 |
+
"step": 30
|
| 41 |
+
},
|
| 42 |
+
{
|
| 43 |
+
"entropy": 1.2205921411514282,
|
| 44 |
+
"epoch": 0.05383580080753701,
|
| 45 |
+
"grad_norm": 1.2432096004486084,
|
| 46 |
+
"learning_rate": 1.0483870967741936e-05,
|
| 47 |
+
"loss": 0.2568032264709473,
|
| 48 |
+
"mean_token_accuracy": 0.9130991995334625,
|
| 49 |
+
"num_tokens": 755026.0,
|
| 50 |
+
"step": 40
|
| 51 |
+
},
|
| 52 |
+
{
|
| 53 |
+
"entropy": 1.221834623813629,
|
| 54 |
+
"epoch": 0.06729475100942127,
|
| 55 |
+
"grad_norm": 0.8531327843666077,
|
| 56 |
+
"learning_rate": 1.3172043010752688e-05,
|
| 57 |
+
"loss": 0.20193097591400147,
|
| 58 |
+
"mean_token_accuracy": 0.9274256646633148,
|
| 59 |
+
"num_tokens": 943494.0,
|
| 60 |
+
"step": 50
|
| 61 |
+
},
|
| 62 |
+
{
|
| 63 |
+
"entropy": 1.2245031952857972,
|
| 64 |
+
"epoch": 0.08075370121130551,
|
| 65 |
+
"grad_norm": 0.5026484131813049,
|
| 66 |
+
"learning_rate": 1.586021505376344e-05,
|
| 67 |
+
"loss": 0.171803081035614,
|
| 68 |
+
"mean_token_accuracy": 0.9363821744918823,
|
| 69 |
+
"num_tokens": 1131731.0,
|
| 70 |
+
"step": 60
|
| 71 |
+
},
|
| 72 |
+
{
|
| 73 |
+
"entropy": 1.2192703008651733,
|
| 74 |
+
"epoch": 0.09421265141318977,
|
| 75 |
+
"grad_norm": 0.5228630304336548,
|
| 76 |
+
"learning_rate": 1.8548387096774193e-05,
|
| 77 |
+
"loss": 0.15698516368865967,
|
| 78 |
+
"mean_token_accuracy": 0.9423282980918884,
|
| 79 |
+
"num_tokens": 1320258.0,
|
| 80 |
+
"step": 70
|
| 81 |
+
},
|
| 82 |
+
{
|
| 83 |
+
"entropy": 1.2153660774230957,
|
| 84 |
+
"epoch": 0.10767160161507403,
|
| 85 |
+
"grad_norm": 0.3650094270706177,
|
| 86 |
+
"learning_rate": 2.1236559139784946e-05,
|
| 87 |
+
"loss": 0.14900912046432496,
|
| 88 |
+
"mean_token_accuracy": 0.9437524616718292,
|
| 89 |
+
"num_tokens": 1509209.0,
|
| 90 |
+
"step": 80
|
| 91 |
+
},
|
| 92 |
+
{
|
| 93 |
+
"entropy": 1.2123230814933776,
|
| 94 |
+
"epoch": 0.12113055181695828,
|
| 95 |
+
"grad_norm": 0.45723631978034973,
|
| 96 |
+
"learning_rate": 2.39247311827957e-05,
|
| 97 |
+
"loss": 0.1399540901184082,
|
| 98 |
+
"mean_token_accuracy": 0.9474983811378479,
|
| 99 |
+
"num_tokens": 1698139.0,
|
| 100 |
+
"step": 90
|
| 101 |
+
},
|
| 102 |
+
{
|
| 103 |
+
"entropy": 1.208789598941803,
|
| 104 |
+
"epoch": 0.13458950201884254,
|
| 105 |
+
"grad_norm": 0.4575304687023163,
|
| 106 |
+
"learning_rate": 2.661290322580645e-05,
|
| 107 |
+
"loss": 0.12566736936569214,
|
| 108 |
+
"mean_token_accuracy": 0.9529488801956176,
|
| 109 |
+
"num_tokens": 1886384.0,
|
| 110 |
+
"step": 100
|
| 111 |
+
},
|
| 112 |
+
{
|
| 113 |
+
"entropy": 1.205567193031311,
|
| 114 |
+
"epoch": 0.1480484522207268,
|
| 115 |
+
"grad_norm": 0.8033406734466553,
|
| 116 |
+
"learning_rate": 2.9301075268817207e-05,
|
| 117 |
+
"loss": 0.12005312442779541,
|
| 118 |
+
"mean_token_accuracy": 0.9533569395542145,
|
| 119 |
+
"num_tokens": 2074919.0,
|
| 120 |
+
"step": 110
|
| 121 |
+
},
|
| 122 |
+
{
|
| 123 |
+
"entropy": 1.20180287361145,
|
| 124 |
+
"epoch": 0.16150740242261102,
|
| 125 |
+
"grad_norm": 0.6989286541938782,
|
| 126 |
+
"learning_rate": 3.198924731182796e-05,
|
| 127 |
+
"loss": 0.11197478771209717,
|
| 128 |
+
"mean_token_accuracy": 0.9572584748268127,
|
| 129 |
+
"num_tokens": 2263116.0,
|
| 130 |
+
"step": 120
|
| 131 |
+
},
|
| 132 |
+
{
|
| 133 |
+
"entropy": 1.202919363975525,
|
| 134 |
+
"epoch": 0.17496635262449528,
|
| 135 |
+
"grad_norm": 0.7233495116233826,
|
| 136 |
+
"learning_rate": 3.467741935483872e-05,
|
| 137 |
+
"loss": 0.11106340885162354,
|
| 138 |
+
"mean_token_accuracy": 0.9569663584232331,
|
| 139 |
+
"num_tokens": 2451273.0,
|
| 140 |
+
"step": 130
|
| 141 |
+
},
|
| 142 |
+
{
|
| 143 |
+
"entropy": 1.1907272219657898,
|
| 144 |
+
"epoch": 0.18842530282637954,
|
| 145 |
+
"grad_norm": 0.7645091414451599,
|
| 146 |
+
"learning_rate": 3.736559139784947e-05,
|
| 147 |
+
"loss": 0.10956189632415772,
|
| 148 |
+
"mean_token_accuracy": 0.95842245221138,
|
| 149 |
+
"num_tokens": 2640657.0,
|
| 150 |
+
"step": 140
|
| 151 |
+
},
|
| 152 |
+
{
|
| 153 |
+
"entropy": 1.1895484924316406,
|
| 154 |
+
"epoch": 0.2018842530282638,
|
| 155 |
+
"grad_norm": 0.841379702091217,
|
| 156 |
+
"learning_rate": 4.005376344086022e-05,
|
| 157 |
+
"loss": 0.10442907810211181,
|
| 158 |
+
"mean_token_accuracy": 0.9603263795375824,
|
| 159 |
+
"num_tokens": 2829351.0,
|
| 160 |
+
"step": 150
|
| 161 |
+
},
|
| 162 |
+
{
|
| 163 |
+
"entropy": 1.1871973633766175,
|
| 164 |
+
"epoch": 0.21534320323014805,
|
| 165 |
+
"grad_norm": 0.8552286624908447,
|
| 166 |
+
"learning_rate": 4.2741935483870973e-05,
|
| 167 |
+
"loss": 0.10493810176849365,
|
| 168 |
+
"mean_token_accuracy": 0.9597454965114594,
|
| 169 |
+
"num_tokens": 3018290.0,
|
| 170 |
+
"step": 160
|
| 171 |
+
},
|
| 172 |
+
{
|
| 173 |
+
"entropy": 1.1907334923744202,
|
| 174 |
+
"epoch": 0.2288021534320323,
|
| 175 |
+
"grad_norm": 0.7243770360946655,
|
| 176 |
+
"learning_rate": 4.543010752688172e-05,
|
| 177 |
+
"loss": 0.10288643836975098,
|
| 178 |
+
"mean_token_accuracy": 0.9603340923786163,
|
| 179 |
+
"num_tokens": 3206538.0,
|
| 180 |
+
"step": 170
|
| 181 |
+
},
|
| 182 |
+
{
|
| 183 |
+
"entropy": 1.1835299730300903,
|
| 184 |
+
"epoch": 0.24226110363391656,
|
| 185 |
+
"grad_norm": 0.8118091225624084,
|
| 186 |
+
"learning_rate": 4.811827956989248e-05,
|
| 187 |
+
"loss": 0.09798368811607361,
|
| 188 |
+
"mean_token_accuracy": 0.9619723737239838,
|
| 189 |
+
"num_tokens": 3395374.0,
|
| 190 |
+
"step": 180
|
| 191 |
+
},
|
| 192 |
+
{
|
| 193 |
+
"entropy": 1.1794602513313293,
|
| 194 |
+
"epoch": 0.2557200538358008,
|
| 195 |
+
"grad_norm": 0.7447699904441833,
|
| 196 |
+
"learning_rate": 5.080645161290323e-05,
|
| 197 |
+
"loss": 0.09498158693313599,
|
| 198 |
+
"mean_token_accuracy": 0.9634931206703186,
|
| 199 |
+
"num_tokens": 3584273.0,
|
| 200 |
+
"step": 190
|
| 201 |
+
},
|
| 202 |
+
{
|
| 203 |
+
"entropy": 1.1834724426269532,
|
| 204 |
+
"epoch": 0.2691790040376851,
|
| 205 |
+
"grad_norm": 1.4059171676635742,
|
| 206 |
+
"learning_rate": 5.349462365591398e-05,
|
| 207 |
+
"loss": 0.09400172233581543,
|
| 208 |
+
"mean_token_accuracy": 0.9630160868167877,
|
| 209 |
+
"num_tokens": 3772857.0,
|
| 210 |
+
"step": 200
|
| 211 |
+
},
|
| 212 |
+
{
|
| 213 |
+
"entropy": 1.186821174621582,
|
| 214 |
+
"epoch": 0.28263795423956933,
|
| 215 |
+
"grad_norm": 0.8273025751113892,
|
| 216 |
+
"learning_rate": 5.618279569892473e-05,
|
| 217 |
+
"loss": 0.09464811086654663,
|
| 218 |
+
"mean_token_accuracy": 0.9631786167621612,
|
| 219 |
+
"num_tokens": 3960877.0,
|
| 220 |
+
"step": 210
|
| 221 |
+
},
|
| 222 |
+
{
|
| 223 |
+
"entropy": 1.1769920349121095,
|
| 224 |
+
"epoch": 0.2960969044414536,
|
| 225 |
+
"grad_norm": 1.0182609558105469,
|
| 226 |
+
"learning_rate": 5.887096774193549e-05,
|
| 227 |
+
"loss": 0.0914128303527832,
|
| 228 |
+
"mean_token_accuracy": 0.9644896507263183,
|
| 229 |
+
"num_tokens": 4149444.0,
|
| 230 |
+
"step": 220
|
| 231 |
+
},
|
| 232 |
+
{
|
| 233 |
+
"entropy": 1.1719188809394836,
|
| 234 |
+
"epoch": 0.30955585464333785,
|
| 235 |
+
"grad_norm": 0.9648745656013489,
|
| 236 |
+
"learning_rate": 6.155913978494624e-05,
|
| 237 |
+
"loss": 0.0920255422592163,
|
| 238 |
+
"mean_token_accuracy": 0.963964831829071,
|
| 239 |
+
"num_tokens": 4337989.0,
|
| 240 |
+
"step": 230
|
| 241 |
+
},
|
| 242 |
+
{
|
| 243 |
+
"entropy": 1.1559369206428527,
|
| 244 |
+
"epoch": 0.32301480484522205,
|
| 245 |
+
"grad_norm": 0.853049635887146,
|
| 246 |
+
"learning_rate": 6.4247311827957e-05,
|
| 247 |
+
"loss": 0.0891042947769165,
|
| 248 |
+
"mean_token_accuracy": 0.9653984010219574,
|
| 249 |
+
"num_tokens": 4527256.0,
|
| 250 |
+
"step": 240
|
| 251 |
+
},
|
| 252 |
+
{
|
| 253 |
+
"entropy": 1.1604587316513062,
|
| 254 |
+
"epoch": 0.3364737550471063,
|
| 255 |
+
"grad_norm": 0.873772144317627,
|
| 256 |
+
"learning_rate": 6.693548387096774e-05,
|
| 257 |
+
"loss": 0.09071275591850281,
|
| 258 |
+
"mean_token_accuracy": 0.9651397407054901,
|
| 259 |
+
"num_tokens": 4715878.0,
|
| 260 |
+
"step": 250
|
| 261 |
+
},
|
| 262 |
+
{
|
| 263 |
+
"entropy": 1.1534931778907775,
|
| 264 |
+
"epoch": 0.34993270524899056,
|
| 265 |
+
"grad_norm": 1.087850570678711,
|
| 266 |
+
"learning_rate": 6.962365591397851e-05,
|
| 267 |
+
"loss": 0.08719289302825928,
|
| 268 |
+
"mean_token_accuracy": 0.9658753871917725,
|
| 269 |
+
"num_tokens": 4904527.0,
|
| 270 |
+
"step": 260
|
| 271 |
+
},
|
| 272 |
+
{
|
| 273 |
+
"entropy": 1.1629684448242188,
|
| 274 |
+
"epoch": 0.3633916554508748,
|
| 275 |
+
"grad_norm": 0.9014195799827576,
|
| 276 |
+
"learning_rate": 7.231182795698926e-05,
|
| 277 |
+
"loss": 0.08716133236885071,
|
| 278 |
+
"mean_token_accuracy": 0.965560519695282,
|
| 279 |
+
"num_tokens": 5093554.0,
|
| 280 |
+
"step": 270
|
| 281 |
+
},
|
| 282 |
+
{
|
| 283 |
+
"entropy": 1.148916518688202,
|
| 284 |
+
"epoch": 0.3768506056527591,
|
| 285 |
+
"grad_norm": 0.9712215662002563,
|
| 286 |
+
"learning_rate": 7.500000000000001e-05,
|
| 287 |
+
"loss": 0.08668915033340455,
|
| 288 |
+
"mean_token_accuracy": 0.9658140063285827,
|
| 289 |
+
"num_tokens": 5282224.0,
|
| 290 |
+
"step": 280
|
| 291 |
+
},
|
| 292 |
+
{
|
| 293 |
+
"entropy": 1.1493291974067688,
|
| 294 |
+
"epoch": 0.39030955585464333,
|
| 295 |
+
"grad_norm": 0.9085242748260498,
|
| 296 |
+
"learning_rate": 7.768817204301076e-05,
|
| 297 |
+
"loss": 0.08189771175384522,
|
| 298 |
+
"mean_token_accuracy": 0.9670268416404724,
|
| 299 |
+
"num_tokens": 5471308.0,
|
| 300 |
+
"step": 290
|
| 301 |
+
},
|
| 302 |
+
{
|
| 303 |
+
"entropy": 1.1406704187393188,
|
| 304 |
+
"epoch": 0.4037685060565276,
|
| 305 |
+
"grad_norm": 1.128177285194397,
|
| 306 |
+
"learning_rate": 8.037634408602151e-05,
|
| 307 |
+
"loss": 0.08119879961013794,
|
| 308 |
+
"mean_token_accuracy": 0.9675639867782593,
|
| 309 |
+
"num_tokens": 5660026.0,
|
| 310 |
+
"step": 300
|
| 311 |
+
},
|
| 312 |
+
{
|
| 313 |
+
"entropy": 1.1369357347488402,
|
| 314 |
+
"epoch": 0.41722745625841184,
|
| 315 |
+
"grad_norm": 0.8224227428436279,
|
| 316 |
+
"learning_rate": 8.306451612903227e-05,
|
| 317 |
+
"loss": 0.07979745864868164,
|
| 318 |
+
"mean_token_accuracy": 0.9681445300579071,
|
| 319 |
+
"num_tokens": 5848073.0,
|
| 320 |
+
"step": 310
|
| 321 |
+
},
|
| 322 |
+
{
|
| 323 |
+
"entropy": 1.1252583503723144,
|
| 324 |
+
"epoch": 0.4306864064602961,
|
| 325 |
+
"grad_norm": 0.7711160182952881,
|
| 326 |
+
"learning_rate": 8.575268817204302e-05,
|
| 327 |
+
"loss": 0.0783164381980896,
|
| 328 |
+
"mean_token_accuracy": 0.9686201930046081,
|
| 329 |
+
"num_tokens": 6036717.0,
|
| 330 |
+
"step": 320
|
| 331 |
+
},
|
| 332 |
+
{
|
| 333 |
+
"entropy": 1.1203404307365417,
|
| 334 |
+
"epoch": 0.44414535666218036,
|
| 335 |
+
"grad_norm": 1.1810287237167358,
|
| 336 |
+
"learning_rate": 8.844086021505377e-05,
|
| 337 |
+
"loss": 0.08139073848724365,
|
| 338 |
+
"mean_token_accuracy": 0.9681365489959717,
|
| 339 |
+
"num_tokens": 6225223.0,
|
| 340 |
+
"step": 330
|
| 341 |
+
},
|
| 342 |
+
{
|
| 343 |
+
"entropy": 1.1222687840461731,
|
| 344 |
+
"epoch": 0.4576043068640646,
|
| 345 |
+
"grad_norm": 1.4551713466644287,
|
| 346 |
+
"learning_rate": 9.112903225806452e-05,
|
| 347 |
+
"loss": 0.0820135235786438,
|
| 348 |
+
"mean_token_accuracy": 0.9672703862190246,
|
| 349 |
+
"num_tokens": 6413936.0,
|
| 350 |
+
"step": 340
|
| 351 |
+
},
|
| 352 |
+
{
|
| 353 |
+
"entropy": 1.1156280279159545,
|
| 354 |
+
"epoch": 0.47106325706594887,
|
| 355 |
+
"grad_norm": 0.8573716878890991,
|
| 356 |
+
"learning_rate": 9.381720430107528e-05,
|
| 357 |
+
"loss": 0.08074904680252075,
|
| 358 |
+
"mean_token_accuracy": 0.9677663922309876,
|
| 359 |
+
"num_tokens": 6602413.0,
|
| 360 |
+
"step": 350
|
| 361 |
+
},
|
| 362 |
+
{
|
| 363 |
+
"entropy": 1.1063185572624206,
|
| 364 |
+
"epoch": 0.4845222072678331,
|
| 365 |
+
"grad_norm": 0.7709434628486633,
|
| 366 |
+
"learning_rate": 9.650537634408603e-05,
|
| 367 |
+
"loss": 0.07549421787261963,
|
| 368 |
+
"mean_token_accuracy": 0.9689356207847595,
|
| 369 |
+
"num_tokens": 6790873.0,
|
| 370 |
+
"step": 360
|
| 371 |
+
},
|
| 372 |
+
{
|
| 373 |
+
"entropy": 1.0962031960487366,
|
| 374 |
+
"epoch": 0.4979811574697174,
|
| 375 |
+
"grad_norm": 0.7843625545501709,
|
| 376 |
+
"learning_rate": 9.919354838709678e-05,
|
| 377 |
+
"loss": 0.07368478775024415,
|
| 378 |
+
"mean_token_accuracy": 0.9700294613838196,
|
| 379 |
+
"num_tokens": 6979392.0,
|
| 380 |
+
"step": 370
|
| 381 |
+
},
|
| 382 |
+
{
|
| 383 |
+
"entropy": 1.1028530240058898,
|
| 384 |
+
"epoch": 0.5114401076716016,
|
| 385 |
+
"grad_norm": 0.7935485243797302,
|
| 386 |
+
"learning_rate": 9.999975729865971e-05,
|
| 387 |
+
"loss": 0.07766538262367248,
|
| 388 |
+
"mean_token_accuracy": 0.9704003691673279,
|
| 389 |
+
"num_tokens": 7167482.0,
|
| 390 |
+
"step": 380
|
| 391 |
+
},
|
| 392 |
+
{
|
| 393 |
+
"entropy": 1.0905393958091736,
|
| 394 |
+
"epoch": 0.5248990578734859,
|
| 395 |
+
"grad_norm": 1.4108924865722656,
|
| 396 |
+
"learning_rate": 9.999856856307314e-05,
|
| 397 |
+
"loss": 0.0760004162788391,
|
| 398 |
+
"mean_token_accuracy": 0.9699020266532898,
|
| 399 |
+
"num_tokens": 7355994.0,
|
| 400 |
+
"step": 390
|
| 401 |
+
},
|
| 402 |
+
{
|
| 403 |
+
"entropy": 1.0853531122207642,
|
| 404 |
+
"epoch": 0.5383580080753702,
|
| 405 |
+
"grad_norm": 0.9043511152267456,
|
| 406 |
+
"learning_rate": 9.999638923896533e-05,
|
| 407 |
+
"loss": 0.0720310389995575,
|
| 408 |
+
"mean_token_accuracy": 0.9707890212535858,
|
| 409 |
+
"num_tokens": 7544655.0,
|
| 410 |
+
"step": 400
|
| 411 |
+
},
|
| 412 |
+
{
|
| 413 |
+
"entropy": 1.075773572921753,
|
| 414 |
+
"epoch": 0.5518169582772544,
|
| 415 |
+
"grad_norm": 0.9038823246955872,
|
| 416 |
+
"learning_rate": 9.999321936951374e-05,
|
| 417 |
+
"loss": 0.07026209831237792,
|
| 418 |
+
"mean_token_accuracy": 0.9715417385101318,
|
| 419 |
+
"num_tokens": 7733348.0,
|
| 420 |
+
"step": 410
|
| 421 |
+
},
|
| 422 |
+
{
|
| 423 |
+
"entropy": 1.0572428584098816,
|
| 424 |
+
"epoch": 0.5652759084791387,
|
| 425 |
+
"grad_norm": 0.8231707811355591,
|
| 426 |
+
"learning_rate": 9.998905901752091e-05,
|
| 427 |
+
"loss": 0.07141299843788147,
|
| 428 |
+
"mean_token_accuracy": 0.9705908715724945,
|
| 429 |
+
"num_tokens": 7921582.0,
|
| 430 |
+
"step": 420
|
| 431 |
+
},
|
| 432 |
+
{
|
| 433 |
+
"entropy": 1.051485300064087,
|
| 434 |
+
"epoch": 0.5787348586810229,
|
| 435 |
+
"grad_norm": 1.1695454120635986,
|
| 436 |
+
"learning_rate": 9.998390826541315e-05,
|
| 437 |
+
"loss": 0.07321611642837525,
|
| 438 |
+
"mean_token_accuracy": 0.9709623396396637,
|
| 439 |
+
"num_tokens": 8110266.0,
|
| 440 |
+
"step": 430
|
| 441 |
+
},
|
| 442 |
+
{
|
| 443 |
+
"entropy": 1.0485445380210876,
|
| 444 |
+
"epoch": 0.5921938088829072,
|
| 445 |
+
"grad_norm": 0.7291010618209839,
|
| 446 |
+
"learning_rate": 9.997776721523888e-05,
|
| 447 |
+
"loss": 0.07221676707267762,
|
| 448 |
+
"mean_token_accuracy": 0.9705081820487976,
|
| 449 |
+
"num_tokens": 8298932.0,
|
| 450 |
+
"step": 440
|
| 451 |
+
},
|
| 452 |
+
{
|
| 453 |
+
"entropy": 1.0456495046615601,
|
| 454 |
+
"epoch": 0.6056527590847914,
|
| 455 |
+
"grad_norm": 0.6550094485282898,
|
| 456 |
+
"learning_rate": 9.99706359886667e-05,
|
| 457 |
+
"loss": 0.06878133416175843,
|
| 458 |
+
"mean_token_accuracy": 0.9728739261627197,
|
| 459 |
+
"num_tokens": 8487613.0,
|
| 460 |
+
"step": 450
|
| 461 |
+
},
|
| 462 |
+
{
|
| 463 |
+
"entropy": 1.0372861266136169,
|
| 464 |
+
"epoch": 0.6191117092866757,
|
| 465 |
+
"grad_norm": 0.5825450420379639,
|
| 466 |
+
"learning_rate": 9.996251472698281e-05,
|
| 467 |
+
"loss": 0.06706151366233826,
|
| 468 |
+
"mean_token_accuracy": 0.9732721030712128,
|
| 469 |
+
"num_tokens": 8676276.0,
|
| 470 |
+
"step": 460
|
| 471 |
+
},
|
| 472 |
+
{
|
| 473 |
+
"entropy": 1.0319493532180786,
|
| 474 |
+
"epoch": 0.6325706594885598,
|
| 475 |
+
"grad_norm": 0.7158534526824951,
|
| 476 |
+
"learning_rate": 9.995340359108844e-05,
|
| 477 |
+
"loss": 0.06999597549438477,
|
| 478 |
+
"mean_token_accuracy": 0.9726741492748261,
|
| 479 |
+
"num_tokens": 8864738.0,
|
| 480 |
+
"step": 470
|
| 481 |
+
},
|
| 482 |
+
{
|
| 483 |
+
"entropy": 1.0260030388832093,
|
| 484 |
+
"epoch": 0.6460296096904441,
|
| 485 |
+
"grad_norm": 0.7918373346328735,
|
| 486 |
+
"learning_rate": 9.994330276149649e-05,
|
| 487 |
+
"loss": 0.06949877142906188,
|
| 488 |
+
"mean_token_accuracy": 0.9725882947444916,
|
| 489 |
+
"num_tokens": 9053582.0,
|
| 490 |
+
"step": 480
|
| 491 |
+
},
|
| 492 |
+
{
|
| 493 |
+
"entropy": 1.0258127093315124,
|
| 494 |
+
"epoch": 0.6594885598923284,
|
| 495 |
+
"grad_norm": 0.893281102180481,
|
| 496 |
+
"learning_rate": 9.993221243832797e-05,
|
| 497 |
+
"loss": 0.06893026828765869,
|
| 498 |
+
"mean_token_accuracy": 0.9729171216487884,
|
| 499 |
+
"num_tokens": 9241914.0,
|
| 500 |
+
"step": 490
|
| 501 |
+
},
|
| 502 |
+
{
|
| 503 |
+
"entropy": 1.0261828184127808,
|
| 504 |
+
"epoch": 0.6729475100942126,
|
| 505 |
+
"grad_norm": 1.0127108097076416,
|
| 506 |
+
"learning_rate": 9.992013284130816e-05,
|
| 507 |
+
"loss": 0.07094801664352417,
|
| 508 |
+
"mean_token_accuracy": 0.9714575052261353,
|
| 509 |
+
"num_tokens": 9430981.0,
|
| 510 |
+
"step": 500
|
| 511 |
+
},
|
| 512 |
+
{
|
| 513 |
+
"entropy": 1.0274562597274781,
|
| 514 |
+
"epoch": 0.6864064602960969,
|
| 515 |
+
"grad_norm": 0.7148029208183289,
|
| 516 |
+
"learning_rate": 9.990706420976206e-05,
|
| 517 |
+
"loss": 0.06826171875,
|
| 518 |
+
"mean_token_accuracy": 0.9727248430252076,
|
| 519 |
+
"num_tokens": 9619472.0,
|
| 520 |
+
"step": 510
|
| 521 |
+
},
|
| 522 |
+
{
|
| 523 |
+
"entropy": 1.0137859225273131,
|
| 524 |
+
"epoch": 0.6998654104979811,
|
| 525 |
+
"grad_norm": 0.9228634238243103,
|
| 526 |
+
"learning_rate": 9.989300680260985e-05,
|
| 527 |
+
"loss": 0.06890587210655212,
|
| 528 |
+
"mean_token_accuracy": 0.9723304331302642,
|
| 529 |
+
"num_tokens": 9808123.0,
|
| 530 |
+
"step": 520
|
| 531 |
+
},
|
| 532 |
+
{
|
| 533 |
+
"entropy": 1.0221150755882262,
|
| 534 |
+
"epoch": 0.7133243606998654,
|
| 535 |
+
"grad_norm": 0.971530556678772,
|
| 536 |
+
"learning_rate": 9.98779608983616e-05,
|
| 537 |
+
"loss": 0.07073599100112915,
|
| 538 |
+
"mean_token_accuracy": 0.9714174270629883,
|
| 539 |
+
"num_tokens": 9996601.0,
|
| 540 |
+
"step": 530
|
| 541 |
+
},
|
| 542 |
+
{
|
| 543 |
+
"entropy": 1.0248154640197753,
|
| 544 |
+
"epoch": 0.7267833109017496,
|
| 545 |
+
"grad_norm": 0.7336317896842957,
|
| 546 |
+
"learning_rate": 9.986192679511189e-05,
|
| 547 |
+
"loss": 0.06874136924743653,
|
| 548 |
+
"mean_token_accuracy": 0.9723432004451752,
|
| 549 |
+
"num_tokens": 10184725.0,
|
| 550 |
+
"step": 540
|
| 551 |
+
},
|
| 552 |
+
{
|
| 553 |
+
"entropy": 1.0120978832244873,
|
| 554 |
+
"epoch": 0.7402422611036339,
|
| 555 |
+
"grad_norm": 1.2100600004196167,
|
| 556 |
+
"learning_rate": 9.984490481053372e-05,
|
| 557 |
+
"loss": 0.06270487308502197,
|
| 558 |
+
"mean_token_accuracy": 0.9756880521774292,
|
| 559 |
+
"num_tokens": 10373446.0,
|
| 560 |
+
"step": 550
|
| 561 |
+
},
|
| 562 |
+
{
|
| 563 |
+
"entropy": 1.0172406077384948,
|
| 564 |
+
"epoch": 0.7537012113055181,
|
| 565 |
+
"grad_norm": 0.7562853693962097,
|
| 566 |
+
"learning_rate": 9.982689528187244e-05,
|
| 567 |
+
"loss": 0.06784560084342957,
|
| 568 |
+
"mean_token_accuracy": 0.9724333345890045,
|
| 569 |
+
"num_tokens": 10561710.0,
|
| 570 |
+
"step": 560
|
| 571 |
+
},
|
| 572 |
+
{
|
| 573 |
+
"entropy": 1.0150038957595826,
|
| 574 |
+
"epoch": 0.7671601615074024,
|
| 575 |
+
"grad_norm": 1.07966148853302,
|
| 576 |
+
"learning_rate": 9.98078985659389e-05,
|
| 577 |
+
"loss": 0.0670344054698944,
|
| 578 |
+
"mean_token_accuracy": 0.97339146733284,
|
| 579 |
+
"num_tokens": 10749917.0,
|
| 580 |
+
"step": 570
|
| 581 |
+
},
|
| 582 |
+
{
|
| 583 |
+
"entropy": 1.0135640978813172,
|
| 584 |
+
"epoch": 0.7806191117092867,
|
| 585 |
+
"grad_norm": 0.7826104164123535,
|
| 586 |
+
"learning_rate": 9.978791503910246e-05,
|
| 587 |
+
"loss": 0.0668565571308136,
|
| 588 |
+
"mean_token_accuracy": 0.9735289216041565,
|
| 589 |
+
"num_tokens": 10938098.0,
|
| 590 |
+
"step": 580
|
| 591 |
+
},
|
| 592 |
+
{
|
| 593 |
+
"entropy": 1.0077669620513916,
|
| 594 |
+
"epoch": 0.7940780619111709,
|
| 595 |
+
"grad_norm": 1.299584150314331,
|
| 596 |
+
"learning_rate": 9.97669450972835e-05,
|
| 597 |
+
"loss": 0.0728976845741272,
|
| 598 |
+
"mean_token_accuracy": 0.9701269209384918,
|
| 599 |
+
"num_tokens": 11126107.0,
|
| 600 |
+
"step": 590
|
| 601 |
+
},
|
| 602 |
+
{
|
| 603 |
+
"entropy": 0.9957692861557007,
|
| 604 |
+
"epoch": 0.8075370121130552,
|
| 605 |
+
"grad_norm": 1.1542484760284424,
|
| 606 |
+
"learning_rate": 9.974498915594557e-05,
|
| 607 |
+
"loss": 0.0631720781326294,
|
| 608 |
+
"mean_token_accuracy": 0.9747781097888947,
|
| 609 |
+
"num_tokens": 11315001.0,
|
| 610 |
+
"step": 600
|
| 611 |
+
},
|
| 612 |
+
{
|
| 613 |
+
"entropy": 0.9983992159366608,
|
| 614 |
+
"epoch": 0.8209959623149394,
|
| 615 |
+
"grad_norm": 0.6967246532440186,
|
| 616 |
+
"learning_rate": 9.97220476500872e-05,
|
| 617 |
+
"loss": 0.06333768963813782,
|
| 618 |
+
"mean_token_accuracy": 0.9750322341918946,
|
| 619 |
+
"num_tokens": 11503007.0,
|
| 620 |
+
"step": 610
|
| 621 |
+
},
|
| 622 |
+
{
|
| 623 |
+
"entropy": 0.9801111698150635,
|
| 624 |
+
"epoch": 0.8344549125168237,
|
| 625 |
+
"grad_norm": 0.945446789264679,
|
| 626 |
+
"learning_rate": 9.969812103423325e-05,
|
| 627 |
+
"loss": 0.05720087289810181,
|
| 628 |
+
"mean_token_accuracy": 0.9767442524433136,
|
| 629 |
+
"num_tokens": 11691883.0,
|
| 630 |
+
"step": 620
|
| 631 |
+
},
|
| 632 |
+
{
|
| 633 |
+
"entropy": 0.9879570543766022,
|
| 634 |
+
"epoch": 0.847913862718708,
|
| 635 |
+
"grad_norm": 0.8254193663597107,
|
| 636 |
+
"learning_rate": 9.967320978242592e-05,
|
| 637 |
+
"loss": 0.05899171829223633,
|
| 638 |
+
"mean_token_accuracy": 0.9767756819725036,
|
| 639 |
+
"num_tokens": 11880353.0,
|
| 640 |
+
"step": 630
|
| 641 |
+
},
|
| 642 |
+
{
|
| 643 |
+
"entropy": 0.9878240942955017,
|
| 644 |
+
"epoch": 0.8613728129205922,
|
| 645 |
+
"grad_norm": 0.9882538914680481,
|
| 646 |
+
"learning_rate": 9.964731438821533e-05,
|
| 647 |
+
"loss": 0.06443996429443359,
|
| 648 |
+
"mean_token_accuracy": 0.9735406100749969,
|
| 649 |
+
"num_tokens": 12069610.0,
|
| 650 |
+
"step": 640
|
| 651 |
+
},
|
| 652 |
+
{
|
| 653 |
+
"entropy": 0.9938213169574738,
|
| 654 |
+
"epoch": 0.8748317631224765,
|
| 655 |
+
"grad_norm": 1.126546859741211,
|
| 656 |
+
"learning_rate": 9.962043536464978e-05,
|
| 657 |
+
"loss": 0.06708416938781739,
|
| 658 |
+
"mean_token_accuracy": 0.9730359137058258,
|
| 659 |
+
"num_tokens": 12257901.0,
|
| 660 |
+
"step": 650
|
| 661 |
+
},
|
| 662 |
+
{
|
| 663 |
+
"entropy": 0.9800443708896637,
|
| 664 |
+
"epoch": 0.8882907133243607,
|
| 665 |
+
"grad_norm": 0.9151445031166077,
|
| 666 |
+
"learning_rate": 9.959257324426556e-05,
|
| 667 |
+
"loss": 0.06290764808654785,
|
| 668 |
+
"mean_token_accuracy": 0.9741653084754944,
|
| 669 |
+
"num_tokens": 12446236.0,
|
| 670 |
+
"step": 660
|
| 671 |
+
},
|
| 672 |
+
{
|
| 673 |
+
"entropy": 0.9744794130325317,
|
| 674 |
+
"epoch": 0.901749663526245,
|
| 675 |
+
"grad_norm": 0.9104028940200806,
|
| 676 |
+
"learning_rate": 9.95637285790764e-05,
|
| 677 |
+
"loss": 0.060464882850646974,
|
| 678 |
+
"mean_token_accuracy": 0.9757490694522858,
|
| 679 |
+
"num_tokens": 12635226.0,
|
| 680 |
+
"step": 670
|
| 681 |
+
},
|
| 682 |
+
{
|
| 683 |
+
"entropy": 0.9786687552928924,
|
| 684 |
+
"epoch": 0.9152086137281292,
|
| 685 |
+
"grad_norm": 0.7316192388534546,
|
| 686 |
+
"learning_rate": 9.953390194056258e-05,
|
| 687 |
+
"loss": 0.06054847836494446,
|
| 688 |
+
"mean_token_accuracy": 0.9760404825210571,
|
| 689 |
+
"num_tokens": 12823428.0,
|
| 690 |
+
"step": 680
|
| 691 |
+
},
|
| 692 |
+
{
|
| 693 |
+
"entropy": 0.966060334444046,
|
| 694 |
+
"epoch": 0.9286675639300135,
|
| 695 |
+
"grad_norm": 1.3535135984420776,
|
| 696 |
+
"learning_rate": 9.950309391965947e-05,
|
| 697 |
+
"loss": 0.061383575201034546,
|
| 698 |
+
"mean_token_accuracy": 0.9749173820018768,
|
| 699 |
+
"num_tokens": 13012362.0,
|
| 700 |
+
"step": 690
|
| 701 |
+
},
|
| 702 |
+
{
|
| 703 |
+
"entropy": 0.9722849190235138,
|
| 704 |
+
"epoch": 0.9421265141318977,
|
| 705 |
+
"grad_norm": 0.890771746635437,
|
| 706 |
+
"learning_rate": 9.947130512674602e-05,
|
| 707 |
+
"loss": 0.06301190257072449,
|
| 708 |
+
"mean_token_accuracy": 0.9750476598739624,
|
| 709 |
+
"num_tokens": 13200680.0,
|
| 710 |
+
"step": 700
|
| 711 |
+
},
|
| 712 |
+
{
|
| 713 |
+
"entropy": 0.9624020338058472,
|
| 714 |
+
"epoch": 0.955585464333782,
|
| 715 |
+
"grad_norm": 1.142499327659607,
|
| 716 |
+
"learning_rate": 9.943853619163255e-05,
|
| 717 |
+
"loss": 0.06179196834564209,
|
| 718 |
+
"mean_token_accuracy": 0.9751901209354401,
|
| 719 |
+
"num_tokens": 13389333.0,
|
| 720 |
+
"step": 710
|
| 721 |
+
},
|
| 722 |
+
{
|
| 723 |
+
"entropy": 0.9653747022151947,
|
| 724 |
+
"epoch": 0.9690444145356663,
|
| 725 |
+
"grad_norm": 0.8682493567466736,
|
| 726 |
+
"learning_rate": 9.94047877635482e-05,
|
| 727 |
+
"loss": 0.06113170981407166,
|
| 728 |
+
"mean_token_accuracy": 0.9748325288295746,
|
| 729 |
+
"num_tokens": 13578210.0,
|
| 730 |
+
"step": 720
|
| 731 |
+
},
|
| 732 |
+
{
|
| 733 |
+
"entropy": 0.970348197221756,
|
| 734 |
+
"epoch": 0.9825033647375505,
|
| 735 |
+
"grad_norm": 0.8351430296897888,
|
| 736 |
+
"learning_rate": 9.93700605111283e-05,
|
| 737 |
+
"loss": 0.05901788473129273,
|
| 738 |
+
"mean_token_accuracy": 0.9761226296424865,
|
| 739 |
+
"num_tokens": 13767039.0,
|
| 740 |
+
"step": 730
|
| 741 |
+
},
|
| 742 |
+
{
|
| 743 |
+
"entropy": 0.956724613904953,
|
| 744 |
+
"epoch": 0.9959623149394348,
|
| 745 |
+
"grad_norm": 1.2604819536209106,
|
| 746 |
+
"learning_rate": 9.933435512240084e-05,
|
| 747 |
+
"loss": 0.06124393343925476,
|
| 748 |
+
"mean_token_accuracy": 0.9747833967208862,
|
| 749 |
+
"num_tokens": 13956057.0,
|
| 750 |
+
"step": 740
|
| 751 |
+
},
|
| 752 |
+
{
|
| 753 |
+
"epoch": 1.0,
|
| 754 |
+
"eval_entropy": 0.9722227849018802,
|
| 755 |
+
"eval_loss": 0.0600070059299469,
|
| 756 |
+
"eval_mean_token_accuracy": 0.975752676368519,
|
| 757 |
+
"eval_num_tokens": 14012630.0,
|
| 758 |
+
"eval_runtime": 24.6215,
|
| 759 |
+
"eval_samples_per_second": 203.074,
|
| 760 |
+
"eval_steps_per_second": 6.377,
|
| 761 |
+
"step": 743
|
| 762 |
+
},
|
| 763 |
+
{
|
| 764 |
+
"entropy": 0.9689933776855468,
|
| 765 |
+
"epoch": 1.009421265141319,
|
| 766 |
+
"grad_norm": 0.9720287919044495,
|
| 767 |
+
"learning_rate": 9.929767230477305e-05,
|
| 768 |
+
"loss": 0.055563896894454956,
|
| 769 |
+
"mean_token_accuracy": 0.9779708027839661,
|
| 770 |
+
"num_tokens": 14144652.0,
|
| 771 |
+
"step": 750
|
| 772 |
+
},
|
| 773 |
+
{
|
| 774 |
+
"entropy": 0.9506655633449554,
|
| 775 |
+
"epoch": 1.0228802153432033,
|
| 776 |
+
"grad_norm": 0.6619595289230347,
|
| 777 |
+
"learning_rate": 9.92600127850173e-05,
|
| 778 |
+
"loss": 0.050587379932403566,
|
| 779 |
+
"mean_token_accuracy": 0.979685264825821,
|
| 780 |
+
"num_tokens": 14332714.0,
|
| 781 |
+
"step": 760
|
| 782 |
+
},
|
| 783 |
+
{
|
| 784 |
+
"entropy": 0.9458732306957245,
|
| 785 |
+
"epoch": 1.0363391655450875,
|
| 786 |
+
"grad_norm": 0.7905108332633972,
|
| 787 |
+
"learning_rate": 9.922137730925673e-05,
|
| 788 |
+
"loss": 0.05069155097007751,
|
| 789 |
+
"mean_token_accuracy": 0.9796596229076385,
|
| 790 |
+
"num_tokens": 14520902.0,
|
| 791 |
+
"step": 770
|
| 792 |
+
},
|
| 793 |
+
{
|
| 794 |
+
"entropy": 0.9320916712284089,
|
| 795 |
+
"epoch": 1.0497981157469718,
|
| 796 |
+
"grad_norm": 0.9210566878318787,
|
| 797 |
+
"learning_rate": 9.918176664295041e-05,
|
| 798 |
+
"loss": 0.051744121313095096,
|
| 799 |
+
"mean_token_accuracy": 0.9792148530483246,
|
| 800 |
+
"num_tokens": 14709215.0,
|
| 801 |
+
"step": 780
|
| 802 |
+
},
|
| 803 |
+
{
|
| 804 |
+
"entropy": 0.928934782743454,
|
| 805 |
+
"epoch": 1.063257065948856,
|
| 806 |
+
"grad_norm": 0.7442036867141724,
|
| 807 |
+
"learning_rate": 9.914118157087824e-05,
|
| 808 |
+
"loss": 0.0486875057220459,
|
| 809 |
+
"mean_token_accuracy": 0.9798122465610504,
|
| 810 |
+
"num_tokens": 14898242.0,
|
| 811 |
+
"step": 790
|
| 812 |
+
},
|
| 813 |
+
{
|
| 814 |
+
"entropy": 0.942881977558136,
|
| 815 |
+
"epoch": 1.0767160161507403,
|
| 816 |
+
"grad_norm": 1.0910941362380981,
|
| 817 |
+
"learning_rate": 9.909962289712538e-05,
|
| 818 |
+
"loss": 0.052297019958496095,
|
| 819 |
+
"mean_token_accuracy": 0.9793200254440307,
|
| 820 |
+
"num_tokens": 15086835.0,
|
| 821 |
+
"step": 800
|
| 822 |
+
},
|
| 823 |
+
{
|
| 824 |
+
"entropy": 0.9503917813301086,
|
| 825 |
+
"epoch": 1.0901749663526246,
|
| 826 |
+
"grad_norm": 0.8091554641723633,
|
| 827 |
+
"learning_rate": 9.905709144506629e-05,
|
| 828 |
+
"loss": 0.049927744269371035,
|
| 829 |
+
"mean_token_accuracy": 0.9802082359790802,
|
| 830 |
+
"num_tokens": 15275042.0,
|
| 831 |
+
"step": 810
|
| 832 |
+
},
|
| 833 |
+
{
|
| 834 |
+
"entropy": 0.9426830470561981,
|
| 835 |
+
"epoch": 1.1036339165545088,
|
| 836 |
+
"grad_norm": 1.0589245557785034,
|
| 837 |
+
"learning_rate": 9.901358805734846e-05,
|
| 838 |
+
"loss": 0.053803551197052005,
|
| 839 |
+
"mean_token_accuracy": 0.9785399675369263,
|
| 840 |
+
"num_tokens": 15463923.0,
|
| 841 |
+
"step": 820
|
| 842 |
+
},
|
| 843 |
+
{
|
| 844 |
+
"entropy": 0.9445010781288147,
|
| 845 |
+
"epoch": 1.117092866756393,
|
| 846 |
+
"grad_norm": 0.8410441279411316,
|
| 847 |
+
"learning_rate": 9.89691135958757e-05,
|
| 848 |
+
"loss": 0.053181976079940796,
|
| 849 |
+
"mean_token_accuracy": 0.9792523324489594,
|
| 850 |
+
"num_tokens": 15652526.0,
|
| 851 |
+
"step": 830
|
| 852 |
+
},
|
| 853 |
+
{
|
| 854 |
+
"entropy": 0.946729838848114,
|
| 855 |
+
"epoch": 1.1305518169582773,
|
| 856 |
+
"grad_norm": 0.8246080279350281,
|
| 857 |
+
"learning_rate": 9.892366894179105e-05,
|
| 858 |
+
"loss": 0.054291915893554685,
|
| 859 |
+
"mean_token_accuracy": 0.9791357696056366,
|
| 860 |
+
"num_tokens": 15841340.0,
|
| 861 |
+
"step": 840
|
| 862 |
+
},
|
| 863 |
+
{
|
| 864 |
+
"entropy": 0.9433728814125061,
|
| 865 |
+
"epoch": 1.1440107671601616,
|
| 866 |
+
"grad_norm": 0.9200296401977539,
|
| 867 |
+
"learning_rate": 9.887725499545937e-05,
|
| 868 |
+
"loss": 0.05073915719985962,
|
| 869 |
+
"mean_token_accuracy": 0.9796931505203247,
|
| 870 |
+
"num_tokens": 16029478.0,
|
| 871 |
+
"step": 850
|
| 872 |
+
},
|
| 873 |
+
{
|
| 874 |
+
"entropy": 0.9494417488574982,
|
| 875 |
+
"epoch": 1.1574697173620458,
|
| 876 |
+
"grad_norm": 0.8342758417129517,
|
| 877 |
+
"learning_rate": 9.882987267644939e-05,
|
| 878 |
+
"loss": 0.050929927825927736,
|
| 879 |
+
"mean_token_accuracy": 0.9793219089508056,
|
| 880 |
+
"num_tokens": 16218014.0,
|
| 881 |
+
"step": 860
|
| 882 |
+
},
|
| 883 |
+
{
|
| 884 |
+
"entropy": 0.9409256100654602,
|
| 885 |
+
"epoch": 1.17092866756393,
|
| 886 |
+
"grad_norm": 0.7911009192466736,
|
| 887 |
+
"learning_rate": 9.878152292351563e-05,
|
| 888 |
+
"loss": 0.049964362382888795,
|
| 889 |
+
"mean_token_accuracy": 0.9798487305641175,
|
| 890 |
+
"num_tokens": 16406420.0,
|
| 891 |
+
"step": 870
|
| 892 |
+
},
|
| 893 |
+
{
|
| 894 |
+
"entropy": 0.9429958581924438,
|
| 895 |
+
"epoch": 1.1843876177658144,
|
| 896 |
+
"grad_norm": 1.4877018928527832,
|
| 897 |
+
"learning_rate": 9.873220669457975e-05,
|
| 898 |
+
"loss": 0.04969423711299896,
|
| 899 |
+
"mean_token_accuracy": 0.9801322638988494,
|
| 900 |
+
"num_tokens": 16594948.0,
|
| 901 |
+
"step": 880
|
| 902 |
+
},
|
| 903 |
+
{
|
| 904 |
+
"entropy": 0.9542136013507843,
|
| 905 |
+
"epoch": 1.1978465679676986,
|
| 906 |
+
"grad_norm": 0.8030785918235779,
|
| 907 |
+
"learning_rate": 9.868192496671147e-05,
|
| 908 |
+
"loss": 0.04981146454811096,
|
| 909 |
+
"mean_token_accuracy": 0.9796162784099579,
|
| 910 |
+
"num_tokens": 16782983.0,
|
| 911 |
+
"step": 890
|
| 912 |
+
},
|
| 913 |
+
{
|
| 914 |
+
"entropy": 0.9367722630500793,
|
| 915 |
+
"epoch": 1.2113055181695827,
|
| 916 |
+
"grad_norm": 1.1169800758361816,
|
| 917 |
+
"learning_rate": 9.86306787361094e-05,
|
| 918 |
+
"loss": 0.05210963487625122,
|
| 919 |
+
"mean_token_accuracy": 0.9790139615535736,
|
| 920 |
+
"num_tokens": 16971394.0,
|
| 921 |
+
"step": 900
|
| 922 |
+
},
|
| 923 |
+
{
|
| 924 |
+
"entropy": 0.9487208306789399,
|
| 925 |
+
"epoch": 1.224764468371467,
|
| 926 |
+
"grad_norm": 0.8650282621383667,
|
| 927 |
+
"learning_rate": 9.857846901808117e-05,
|
| 928 |
+
"loss": 0.05012243390083313,
|
| 929 |
+
"mean_token_accuracy": 0.9805107891559601,
|
| 930 |
+
"num_tokens": 17159951.0,
|
| 931 |
+
"step": 910
|
| 932 |
+
},
|
| 933 |
+
{
|
| 934 |
+
"entropy": 0.9441231489181519,
|
| 935 |
+
"epoch": 1.2382234185733512,
|
| 936 |
+
"grad_norm": 0.8193967938423157,
|
| 937 |
+
"learning_rate": 9.852529684702329e-05,
|
| 938 |
+
"loss": 0.048866665363311766,
|
| 939 |
+
"mean_token_accuracy": 0.9807584881782532,
|
| 940 |
+
"num_tokens": 17348711.0,
|
| 941 |
+
"step": 920
|
| 942 |
+
},
|
| 943 |
+
{
|
| 944 |
+
"entropy": 0.9361630439758301,
|
| 945 |
+
"epoch": 1.2516823687752354,
|
| 946 |
+
"grad_norm": 1.3613612651824951,
|
| 947 |
+
"learning_rate": 9.847116327640082e-05,
|
| 948 |
+
"loss": 0.05324091911315918,
|
| 949 |
+
"mean_token_accuracy": 0.97904953956604,
|
| 950 |
+
"num_tokens": 17537116.0,
|
| 951 |
+
"step": 930
|
| 952 |
+
},
|
| 953 |
+
{
|
| 954 |
+
"entropy": 0.9562997639179229,
|
| 955 |
+
"epoch": 1.2651413189771197,
|
| 956 |
+
"grad_norm": 0.8121878504753113,
|
| 957 |
+
"learning_rate": 9.841606937872632e-05,
|
| 958 |
+
"loss": 0.05011019706726074,
|
| 959 |
+
"mean_token_accuracy": 0.9798731088638306,
|
| 960 |
+
"num_tokens": 17725567.0,
|
| 961 |
+
"step": 940
|
| 962 |
+
},
|
| 963 |
+
{
|
| 964 |
+
"entropy": 0.9359076261520386,
|
| 965 |
+
"epoch": 1.278600269179004,
|
| 966 |
+
"grad_norm": 0.7838549613952637,
|
| 967 |
+
"learning_rate": 9.836001624553869e-05,
|
| 968 |
+
"loss": 0.04834386110305786,
|
| 969 |
+
"mean_token_accuracy": 0.9804529249668121,
|
| 970 |
+
"num_tokens": 17914191.0,
|
| 971 |
+
"step": 950
|
| 972 |
+
},
|
| 973 |
+
{
|
| 974 |
+
"entropy": 0.9527446150779724,
|
| 975 |
+
"epoch": 1.2920592193808882,
|
| 976 |
+
"grad_norm": 1.0981712341308594,
|
| 977 |
+
"learning_rate": 9.830300498738152e-05,
|
| 978 |
+
"loss": 0.055077624320983884,
|
| 979 |
+
"mean_token_accuracy": 0.9776535391807556,
|
| 980 |
+
"num_tokens": 18103184.0,
|
| 981 |
+
"step": 960
|
| 982 |
+
},
|
| 983 |
+
{
|
| 984 |
+
"entropy": 0.9574812948703766,
|
| 985 |
+
"epoch": 1.3055181695827724,
|
| 986 |
+
"grad_norm": 0.8291501402854919,
|
| 987 |
+
"learning_rate": 9.824503673378112e-05,
|
| 988 |
+
"loss": 0.050153911113739014,
|
| 989 |
+
"mean_token_accuracy": 0.9792965054512024,
|
| 990 |
+
"num_tokens": 18291351.0,
|
| 991 |
+
"step": 970
|
| 992 |
+
},
|
| 993 |
+
{
|
| 994 |
+
"entropy": 0.939585280418396,
|
| 995 |
+
"epoch": 1.3189771197846567,
|
| 996 |
+
"grad_norm": 1.0864412784576416,
|
| 997 |
+
"learning_rate": 9.81861126332241e-05,
|
| 998 |
+
"loss": 0.05132197737693787,
|
| 999 |
+
"mean_token_accuracy": 0.9792291462421417,
|
| 1000 |
+
"num_tokens": 18480192.0,
|
| 1001 |
+
"step": 980
|
| 1002 |
+
},
|
| 1003 |
+
{
|
| 1004 |
+
"entropy": 0.9468406856060028,
|
| 1005 |
+
"epoch": 1.332436069986541,
|
| 1006 |
+
"grad_norm": 0.9772785902023315,
|
| 1007 |
+
"learning_rate": 9.812623385313461e-05,
|
| 1008 |
+
"loss": 0.04844954013824463,
|
| 1009 |
+
"mean_token_accuracy": 0.9804142415523529,
|
| 1010 |
+
"num_tokens": 18669028.0,
|
| 1011 |
+
"step": 990
|
| 1012 |
+
},
|
| 1013 |
+
{
|
| 1014 |
+
"entropy": 0.9413834273815155,
|
| 1015 |
+
"epoch": 1.3458950201884252,
|
| 1016 |
+
"grad_norm": 0.9020094871520996,
|
| 1017 |
+
"learning_rate": 9.806540157985131e-05,
|
| 1018 |
+
"loss": 0.05075312852859497,
|
| 1019 |
+
"mean_token_accuracy": 0.9790591120719909,
|
| 1020 |
+
"num_tokens": 18857581.0,
|
| 1021 |
+
"step": 1000
|
| 1022 |
+
},
|
| 1023 |
+
{
|
| 1024 |
+
"entropy": 0.9526253461837768,
|
| 1025 |
+
"epoch": 1.3593539703903095,
|
| 1026 |
+
"grad_norm": 1.0524990558624268,
|
| 1027 |
+
"learning_rate": 9.800361701860368e-05,
|
| 1028 |
+
"loss": 0.049737372994422914,
|
| 1029 |
+
"mean_token_accuracy": 0.9795652389526367,
|
| 1030 |
+
"num_tokens": 19046105.0,
|
| 1031 |
+
"step": 1010
|
| 1032 |
+
},
|
| 1033 |
+
{
|
| 1034 |
+
"entropy": 0.9484909176826477,
|
| 1035 |
+
"epoch": 1.3728129205921937,
|
| 1036 |
+
"grad_norm": 1.0715620517730713,
|
| 1037 |
+
"learning_rate": 9.794088139348835e-05,
|
| 1038 |
+
"loss": 0.04935494959354401,
|
| 1039 |
+
"mean_token_accuracy": 0.9797740161418915,
|
| 1040 |
+
"num_tokens": 19234730.0,
|
| 1041 |
+
"step": 1020
|
| 1042 |
+
},
|
| 1043 |
+
{
|
| 1044 |
+
"entropy": 0.9398573458194732,
|
| 1045 |
+
"epoch": 1.386271870794078,
|
| 1046 |
+
"grad_norm": 1.2134987115859985,
|
| 1047 |
+
"learning_rate": 9.787719594744468e-05,
|
| 1048 |
+
"loss": 0.0518394410610199,
|
| 1049 |
+
"mean_token_accuracy": 0.9793788075447083,
|
| 1050 |
+
"num_tokens": 19423572.0,
|
| 1051 |
+
"step": 1030
|
| 1052 |
+
},
|
| 1053 |
+
{
|
| 1054 |
+
"entropy": 0.9465648651123046,
|
| 1055 |
+
"epoch": 1.3997308209959622,
|
| 1056 |
+
"grad_norm": 1.004693627357483,
|
| 1057 |
+
"learning_rate": 9.781256194223023e-05,
|
| 1058 |
+
"loss": 0.04776117205619812,
|
| 1059 |
+
"mean_token_accuracy": 0.9813261866569519,
|
| 1060 |
+
"num_tokens": 19612465.0,
|
| 1061 |
+
"step": 1040
|
| 1062 |
+
},
|
| 1063 |
+
{
|
| 1064 |
+
"entropy": 0.9448004186153411,
|
| 1065 |
+
"epoch": 1.4131897711978465,
|
| 1066 |
+
"grad_norm": 1.2913438081741333,
|
| 1067 |
+
"learning_rate": 9.774698065839577e-05,
|
| 1068 |
+
"loss": 0.04807930588722229,
|
| 1069 |
+
"mean_token_accuracy": 0.9805689513683319,
|
| 1070 |
+
"num_tokens": 19800482.0,
|
| 1071 |
+
"step": 1050
|
| 1072 |
+
},
|
| 1073 |
+
{
|
| 1074 |
+
"entropy": 0.9425322234630584,
|
| 1075 |
+
"epoch": 1.4266487213997308,
|
| 1076 |
+
"grad_norm": 1.1068469285964966,
|
| 1077 |
+
"learning_rate": 9.768045339525979e-05,
|
| 1078 |
+
"loss": 0.05053595900535583,
|
| 1079 |
+
"mean_token_accuracy": 0.9794536828994751,
|
| 1080 |
+
"num_tokens": 19989444.0,
|
| 1081 |
+
"step": 1060
|
| 1082 |
+
},
|
| 1083 |
+
{
|
| 1084 |
+
"entropy": 0.9472232103347779,
|
| 1085 |
+
"epoch": 1.440107671601615,
|
| 1086 |
+
"grad_norm": 0.7409384250640869,
|
| 1087 |
+
"learning_rate": 9.76129814708829e-05,
|
| 1088 |
+
"loss": 0.052136778831481934,
|
| 1089 |
+
"mean_token_accuracy": 0.979197359085083,
|
| 1090 |
+
"num_tokens": 20178482.0,
|
| 1091 |
+
"step": 1070
|
| 1092 |
+
},
|
| 1093 |
+
{
|
| 1094 |
+
"entropy": 0.9450975477695465,
|
| 1095 |
+
"epoch": 1.4535666218034993,
|
| 1096 |
+
"grad_norm": 1.3440778255462646,
|
| 1097 |
+
"learning_rate": 9.754456622204167e-05,
|
| 1098 |
+
"loss": 0.05258495211601257,
|
| 1099 |
+
"mean_token_accuracy": 0.9798152863979339,
|
| 1100 |
+
"num_tokens": 20367345.0,
|
| 1101 |
+
"step": 1080
|
| 1102 |
+
},
|
| 1103 |
+
{
|
| 1104 |
+
"entropy": 0.9468007743358612,
|
| 1105 |
+
"epoch": 1.4670255720053835,
|
| 1106 |
+
"grad_norm": 0.8377829194068909,
|
| 1107 |
+
"learning_rate": 9.747520900420209e-05,
|
| 1108 |
+
"loss": 0.04893603026866913,
|
| 1109 |
+
"mean_token_accuracy": 0.9805733859539032,
|
| 1110 |
+
"num_tokens": 20555817.0,
|
| 1111 |
+
"step": 1090
|
| 1112 |
+
},
|
| 1113 |
+
{
|
| 1114 |
+
"entropy": 0.9505827724933624,
|
| 1115 |
+
"epoch": 1.4804845222072678,
|
| 1116 |
+
"grad_norm": 0.776889979839325,
|
| 1117 |
+
"learning_rate": 9.740491119149277e-05,
|
| 1118 |
+
"loss": 0.05367119312286377,
|
| 1119 |
+
"mean_token_accuracy": 0.9779646098613739,
|
| 1120 |
+
"num_tokens": 20744001.0,
|
| 1121 |
+
"step": 1100
|
| 1122 |
+
},
|
| 1123 |
+
{
|
| 1124 |
+
"entropy": 0.9516380190849304,
|
| 1125 |
+
"epoch": 1.493943472409152,
|
| 1126 |
+
"grad_norm": 0.8598276376724243,
|
| 1127 |
+
"learning_rate": 9.733367417667773e-05,
|
| 1128 |
+
"loss": 0.05071394443511963,
|
| 1129 |
+
"mean_token_accuracy": 0.979692417383194,
|
| 1130 |
+
"num_tokens": 20931715.0,
|
| 1131 |
+
"step": 1110
|
| 1132 |
+
},
|
| 1133 |
+
{
|
| 1134 |
+
"entropy": 0.9351628720760345,
|
| 1135 |
+
"epoch": 1.5074024226110363,
|
| 1136 |
+
"grad_norm": 1.3307439088821411,
|
| 1137 |
+
"learning_rate": 9.726149937112873e-05,
|
| 1138 |
+
"loss": 0.051372635364532473,
|
| 1139 |
+
"mean_token_accuracy": 0.9797907948493958,
|
| 1140 |
+
"num_tokens": 21120803.0,
|
| 1141 |
+
"step": 1120
|
| 1142 |
+
},
|
| 1143 |
+
{
|
| 1144 |
+
"entropy": 0.9268040716648102,
|
| 1145 |
+
"epoch": 1.5208613728129206,
|
| 1146 |
+
"grad_norm": 0.9320250749588013,
|
| 1147 |
+
"learning_rate": 9.718838820479743e-05,
|
| 1148 |
+
"loss": 0.04939974546432495,
|
| 1149 |
+
"mean_token_accuracy": 0.98038170337677,
|
| 1150 |
+
"num_tokens": 21309384.0,
|
| 1151 |
+
"step": 1130
|
| 1152 |
+
},
|
| 1153 |
+
{
|
| 1154 |
+
"entropy": 0.9241463243961334,
|
| 1155 |
+
"epoch": 1.5343203230148048,
|
| 1156 |
+
"grad_norm": 1.065938115119934,
|
| 1157 |
+
"learning_rate": 9.711434212618691e-05,
|
| 1158 |
+
"loss": 0.04856643378734589,
|
| 1159 |
+
"mean_token_accuracy": 0.9800511121749877,
|
| 1160 |
+
"num_tokens": 21498234.0,
|
| 1161 |
+
"step": 1140
|
| 1162 |
+
},
|
| 1163 |
+
{
|
| 1164 |
+
"entropy": 0.9350252687931061,
|
| 1165 |
+
"epoch": 1.547779273216689,
|
| 1166 |
+
"grad_norm": 0.6925032138824463,
|
| 1167 |
+
"learning_rate": 9.703936260232308e-05,
|
| 1168 |
+
"loss": 0.0512526273727417,
|
| 1169 |
+
"mean_token_accuracy": 0.979562646150589,
|
| 1170 |
+
"num_tokens": 21687119.0,
|
| 1171 |
+
"step": 1150
|
| 1172 |
+
},
|
| 1173 |
+
{
|
| 1174 |
+
"entropy": 0.9403733670711517,
|
| 1175 |
+
"epoch": 1.5612382234185733,
|
| 1176 |
+
"grad_norm": 1.2069101333618164,
|
| 1177 |
+
"learning_rate": 9.696345111872557e-05,
|
| 1178 |
+
"loss": 0.049795085191726686,
|
| 1179 |
+
"mean_token_accuracy": 0.9806506633758545,
|
| 1180 |
+
"num_tokens": 21876094.0,
|
| 1181 |
+
"step": 1160
|
| 1182 |
+
},
|
| 1183 |
+
{
|
| 1184 |
+
"entropy": 0.9370538294315338,
|
| 1185 |
+
"epoch": 1.5746971736204576,
|
| 1186 |
+
"grad_norm": 1.1759546995162964,
|
| 1187 |
+
"learning_rate": 9.688660917937838e-05,
|
| 1188 |
+
"loss": 0.05461466312408447,
|
| 1189 |
+
"mean_token_accuracy": 0.9776057600975037,
|
| 1190 |
+
"num_tokens": 22064836.0,
|
| 1191 |
+
"step": 1170
|
| 1192 |
+
},
|
| 1193 |
+
{
|
| 1194 |
+
"entropy": 0.9517778217792511,
|
| 1195 |
+
"epoch": 1.5881561238223418,
|
| 1196 |
+
"grad_norm": 0.8965149521827698,
|
| 1197 |
+
"learning_rate": 9.68088383066999e-05,
|
| 1198 |
+
"loss": 0.05289326906204224,
|
| 1199 |
+
"mean_token_accuracy": 0.9782088756561279,
|
| 1200 |
+
"num_tokens": 22253065.0,
|
| 1201 |
+
"step": 1180
|
| 1202 |
+
},
|
| 1203 |
+
{
|
| 1204 |
+
"entropy": 0.9372851848602295,
|
| 1205 |
+
"epoch": 1.601615074024226,
|
| 1206 |
+
"grad_norm": 0.7192108631134033,
|
| 1207 |
+
"learning_rate": 9.673014004151292e-05,
|
| 1208 |
+
"loss": 0.048973691463470456,
|
| 1209 |
+
"mean_token_accuracy": 0.9806210815906524,
|
| 1210 |
+
"num_tokens": 22441206.0,
|
| 1211 |
+
"step": 1190
|
| 1212 |
+
},
|
| 1213 |
+
{
|
| 1214 |
+
"entropy": 0.9122351944446564,
|
| 1215 |
+
"epoch": 1.6150740242261103,
|
| 1216 |
+
"grad_norm": 0.8763614296913147,
|
| 1217 |
+
"learning_rate": 9.665051594301407e-05,
|
| 1218 |
+
"loss": 0.0461783230304718,
|
| 1219 |
+
"mean_token_accuracy": 0.9817197680473327,
|
| 1220 |
+
"num_tokens": 22629637.0,
|
| 1221 |
+
"step": 1200
|
| 1222 |
+
},
|
| 1223 |
+
{
|
| 1224 |
+
"entropy": 0.9162654876708984,
|
| 1225 |
+
"epoch": 1.6285329744279946,
|
| 1226 |
+
"grad_norm": 0.9806778430938721,
|
| 1227 |
+
"learning_rate": 9.656996758874284e-05,
|
| 1228 |
+
"loss": 0.04827338755130768,
|
| 1229 |
+
"mean_token_accuracy": 0.9806499361991883,
|
| 1230 |
+
"num_tokens": 22818369.0,
|
| 1231 |
+
"step": 1210
|
| 1232 |
+
},
|
| 1233 |
+
{
|
| 1234 |
+
"entropy": 0.9125026524066925,
|
| 1235 |
+
"epoch": 1.6419919246298789,
|
| 1236 |
+
"grad_norm": 0.9685350656509399,
|
| 1237 |
+
"learning_rate": 9.648849657455044e-05,
|
| 1238 |
+
"loss": 0.048379385471343996,
|
| 1239 |
+
"mean_token_accuracy": 0.980905145406723,
|
| 1240 |
+
"num_tokens": 23006863.0,
|
| 1241 |
+
"step": 1220
|
| 1242 |
+
},
|
| 1243 |
+
{
|
| 1244 |
+
"entropy": 0.9119791567325592,
|
| 1245 |
+
"epoch": 1.6554508748317631,
|
| 1246 |
+
"grad_norm": 0.8717457056045532,
|
| 1247 |
+
"learning_rate": 9.640610451456811e-05,
|
| 1248 |
+
"loss": 0.050873959064483644,
|
| 1249 |
+
"mean_token_accuracy": 0.979601925611496,
|
| 1250 |
+
"num_tokens": 23195735.0,
|
| 1251 |
+
"step": 1230
|
| 1252 |
+
},
|
| 1253 |
+
{
|
| 1254 |
+
"entropy": 0.9244007229804992,
|
| 1255 |
+
"epoch": 1.6689098250336474,
|
| 1256 |
+
"grad_norm": 1.0574654340744019,
|
| 1257 |
+
"learning_rate": 9.632279304117517e-05,
|
| 1258 |
+
"loss": 0.05112813711166382,
|
| 1259 |
+
"mean_token_accuracy": 0.979493772983551,
|
| 1260 |
+
"num_tokens": 23383862.0,
|
| 1261 |
+
"step": 1240
|
| 1262 |
+
},
|
| 1263 |
+
{
|
| 1264 |
+
"entropy": 0.9225810945034028,
|
| 1265 |
+
"epoch": 1.6823687752355316,
|
| 1266 |
+
"grad_norm": 0.9628807306289673,
|
| 1267 |
+
"learning_rate": 9.623856380496664e-05,
|
| 1268 |
+
"loss": 0.050480544567108154,
|
| 1269 |
+
"mean_token_accuracy": 0.9797678411006927,
|
| 1270 |
+
"num_tokens": 23572292.0,
|
| 1271 |
+
"step": 1250
|
| 1272 |
+
},
|
| 1273 |
+
{
|
| 1274 |
+
"entropy": 0.9287579476833343,
|
| 1275 |
+
"epoch": 1.695827725437416,
|
| 1276 |
+
"grad_norm": 1.015265941619873,
|
| 1277 |
+
"learning_rate": 9.615341847472059e-05,
|
| 1278 |
+
"loss": 0.05133126378059387,
|
| 1279 |
+
"mean_token_accuracy": 0.9797986805438995,
|
| 1280 |
+
"num_tokens": 23760252.0,
|
| 1281 |
+
"step": 1260
|
| 1282 |
+
},
|
| 1283 |
+
{
|
| 1284 |
+
"entropy": 0.9133845925331116,
|
| 1285 |
+
"epoch": 1.7092866756393001,
|
| 1286 |
+
"grad_norm": 0.8996883630752563,
|
| 1287 |
+
"learning_rate": 9.606735873736505e-05,
|
| 1288 |
+
"loss": 0.05044950246810913,
|
| 1289 |
+
"mean_token_accuracy": 0.9795303404331207,
|
| 1290 |
+
"num_tokens": 23949031.0,
|
| 1291 |
+
"step": 1270
|
| 1292 |
+
},
|
| 1293 |
+
{
|
| 1294 |
+
"entropy": 0.9213698863983154,
|
| 1295 |
+
"epoch": 1.7227456258411844,
|
| 1296 |
+
"grad_norm": 1.0490264892578125,
|
| 1297 |
+
"learning_rate": 9.598038629794461e-05,
|
| 1298 |
+
"loss": 0.04797698855400086,
|
| 1299 |
+
"mean_token_accuracy": 0.9806023716926575,
|
| 1300 |
+
"num_tokens": 24137829.0,
|
| 1301 |
+
"step": 1280
|
| 1302 |
+
},
|
| 1303 |
+
{
|
| 1304 |
+
"entropy": 0.9173697710037232,
|
| 1305 |
+
"epoch": 1.7362045760430687,
|
| 1306 |
+
"grad_norm": 1.3648769855499268,
|
| 1307 |
+
"learning_rate": 9.589250287958657e-05,
|
| 1308 |
+
"loss": 0.049194514751434326,
|
| 1309 |
+
"mean_token_accuracy": 0.980712479352951,
|
| 1310 |
+
"num_tokens": 24326586.0,
|
| 1311 |
+
"step": 1290
|
| 1312 |
+
},
|
| 1313 |
+
{
|
| 1314 |
+
"entropy": 0.9242741882801055,
|
| 1315 |
+
"epoch": 1.749663526244953,
|
| 1316 |
+
"grad_norm": 1.105125069618225,
|
| 1317 |
+
"learning_rate": 9.580371022346693e-05,
|
| 1318 |
+
"loss": 0.048667973279953,
|
| 1319 |
+
"mean_token_accuracy": 0.9801449298858642,
|
| 1320 |
+
"num_tokens": 24514904.0,
|
| 1321 |
+
"step": 1300
|
| 1322 |
+
},
|
| 1323 |
+
{
|
| 1324 |
+
"entropy": 0.9162627995014191,
|
| 1325 |
+
"epoch": 1.7631224764468372,
|
| 1326 |
+
"grad_norm": 0.8887938857078552,
|
| 1327 |
+
"learning_rate": 9.571401008877572e-05,
|
| 1328 |
+
"loss": 0.04878672957420349,
|
| 1329 |
+
"mean_token_accuracy": 0.980469423532486,
|
| 1330 |
+
"num_tokens": 24703688.0,
|
| 1331 |
+
"step": 1310
|
| 1332 |
+
},
|
| 1333 |
+
{
|
| 1334 |
+
"entropy": 0.9149538338184356,
|
| 1335 |
+
"epoch": 1.7765814266487214,
|
| 1336 |
+
"grad_norm": 0.8838976621627808,
|
| 1337 |
+
"learning_rate": 9.562340425268233e-05,
|
| 1338 |
+
"loss": 0.04892318844795227,
|
| 1339 |
+
"mean_token_accuracy": 0.9808776795864105,
|
| 1340 |
+
"num_tokens": 24892107.0,
|
| 1341 |
+
"step": 1320
|
| 1342 |
+
},
|
| 1343 |
+
{
|
| 1344 |
+
"entropy": 0.914735221862793,
|
| 1345 |
+
"epoch": 1.7900403768506057,
|
| 1346 |
+
"grad_norm": 1.1152070760726929,
|
| 1347 |
+
"learning_rate": 9.553189451030019e-05,
|
| 1348 |
+
"loss": 0.04825109839439392,
|
| 1349 |
+
"mean_token_accuracy": 0.9804604113101959,
|
| 1350 |
+
"num_tokens": 25080130.0,
|
| 1351 |
+
"step": 1330
|
| 1352 |
+
},
|
| 1353 |
+
{
|
| 1354 |
+
"entropy": 0.9170725226402283,
|
| 1355 |
+
"epoch": 1.80349932705249,
|
| 1356 |
+
"grad_norm": 0.9479517340660095,
|
| 1357 |
+
"learning_rate": 9.543948267465115e-05,
|
| 1358 |
+
"loss": 0.051445144414901736,
|
| 1359 |
+
"mean_token_accuracy": 0.9792819261550904,
|
| 1360 |
+
"num_tokens": 25268652.0,
|
| 1361 |
+
"step": 1340
|
| 1362 |
+
},
|
| 1363 |
+
{
|
| 1364 |
+
"entropy": 0.9142911911010743,
|
| 1365 |
+
"epoch": 1.8169582772543742,
|
| 1366 |
+
"grad_norm": 0.8172292709350586,
|
| 1367 |
+
"learning_rate": 9.534617057662977e-05,
|
| 1368 |
+
"loss": 0.0475692093372345,
|
| 1369 |
+
"mean_token_accuracy": 0.9809505581855774,
|
| 1370 |
+
"num_tokens": 25457120.0,
|
| 1371 |
+
"step": 1350
|
| 1372 |
+
},
|
| 1373 |
+
{
|
| 1374 |
+
"entropy": 0.9019249439239502,
|
| 1375 |
+
"epoch": 1.8304172274562585,
|
| 1376 |
+
"grad_norm": 0.8183121681213379,
|
| 1377 |
+
"learning_rate": 9.525196006496679e-05,
|
| 1378 |
+
"loss": 0.04979957342147827,
|
| 1379 |
+
"mean_token_accuracy": 0.9799730658531189,
|
| 1380 |
+
"num_tokens": 25645699.0,
|
| 1381 |
+
"step": 1360
|
| 1382 |
+
},
|
| 1383 |
+
{
|
| 1384 |
+
"entropy": 0.9181066155433655,
|
| 1385 |
+
"epoch": 1.8438761776581427,
|
| 1386 |
+
"grad_norm": 0.8256579041481018,
|
| 1387 |
+
"learning_rate": 9.515685300619271e-05,
|
| 1388 |
+
"loss": 0.04996164441108704,
|
| 1389 |
+
"mean_token_accuracy": 0.9802247405052185,
|
| 1390 |
+
"num_tokens": 25834183.0,
|
| 1391 |
+
"step": 1370
|
| 1392 |
+
},
|
| 1393 |
+
{
|
| 1394 |
+
"entropy": 0.9171363770961761,
|
| 1395 |
+
"epoch": 1.857335127860027,
|
| 1396 |
+
"grad_norm": 0.9727098345756531,
|
| 1397 |
+
"learning_rate": 9.506085128460065e-05,
|
| 1398 |
+
"loss": 0.048660767078399655,
|
| 1399 |
+
"mean_token_accuracy": 0.9805064260959625,
|
| 1400 |
+
"num_tokens": 26023317.0,
|
| 1401 |
+
"step": 1380
|
| 1402 |
+
},
|
| 1403 |
+
{
|
| 1404 |
+
"entropy": 0.9112720847129822,
|
| 1405 |
+
"epoch": 1.8707940780619112,
|
| 1406 |
+
"grad_norm": 0.9826673865318298,
|
| 1407 |
+
"learning_rate": 9.496395680220918e-05,
|
| 1408 |
+
"loss": 0.04775593280792236,
|
| 1409 |
+
"mean_token_accuracy": 0.9809929549694061,
|
| 1410 |
+
"num_tokens": 26212115.0,
|
| 1411 |
+
"step": 1390
|
| 1412 |
+
},
|
| 1413 |
+
{
|
| 1414 |
+
"entropy": 0.9034272134304047,
|
| 1415 |
+
"epoch": 1.8842530282637955,
|
| 1416 |
+
"grad_norm": 0.9951306581497192,
|
| 1417 |
+
"learning_rate": 9.486617147872446e-05,
|
| 1418 |
+
"loss": 0.04939360618591308,
|
| 1419 |
+
"mean_token_accuracy": 0.9800347864627839,
|
| 1420 |
+
"num_tokens": 26401167.0,
|
| 1421 |
+
"step": 1400
|
| 1422 |
+
},
|
| 1423 |
+
{
|
| 1424 |
+
"entropy": 0.897865754365921,
|
| 1425 |
+
"epoch": 1.8977119784656797,
|
| 1426 |
+
"grad_norm": 1.0163404941558838,
|
| 1427 |
+
"learning_rate": 9.476749725150235e-05,
|
| 1428 |
+
"loss": 0.05002856254577637,
|
| 1429 |
+
"mean_token_accuracy": 0.9793690323829651,
|
| 1430 |
+
"num_tokens": 26590570.0,
|
| 1431 |
+
"step": 1410
|
| 1432 |
+
},
|
| 1433 |
+
{
|
| 1434 |
+
"entropy": 0.9004576802253723,
|
| 1435 |
+
"epoch": 1.911170928667564,
|
| 1436 |
+
"grad_norm": 0.6666616201400757,
|
| 1437 |
+
"learning_rate": 9.466793607550995e-05,
|
| 1438 |
+
"loss": 0.04905453026294708,
|
| 1439 |
+
"mean_token_accuracy": 0.9803856253623963,
|
| 1440 |
+
"num_tokens": 26779481.0,
|
| 1441 |
+
"step": 1420
|
| 1442 |
+
},
|
| 1443 |
+
{
|
| 1444 |
+
"entropy": 0.8978902101516724,
|
| 1445 |
+
"epoch": 1.9246298788694483,
|
| 1446 |
+
"grad_norm": 0.9295416474342346,
|
| 1447 |
+
"learning_rate": 9.45674899232869e-05,
|
| 1448 |
+
"loss": 0.05261261463165283,
|
| 1449 |
+
"mean_token_accuracy": 0.9785708487033844,
|
| 1450 |
+
"num_tokens": 26968262.0,
|
| 1451 |
+
"step": 1430
|
| 1452 |
+
},
|
| 1453 |
+
{
|
| 1454 |
+
"entropy": 0.8962675571441651,
|
| 1455 |
+
"epoch": 1.9380888290713325,
|
| 1456 |
+
"grad_norm": 0.88262939453125,
|
| 1457 |
+
"learning_rate": 9.446616078490626e-05,
|
| 1458 |
+
"loss": 0.04765265882015228,
|
| 1459 |
+
"mean_token_accuracy": 0.98052077293396,
|
| 1460 |
+
"num_tokens": 27157631.0,
|
| 1461 |
+
"step": 1440
|
| 1462 |
+
},
|
| 1463 |
+
{
|
| 1464 |
+
"entropy": 0.8909463047981262,
|
| 1465 |
+
"epoch": 1.9515477792732168,
|
| 1466 |
+
"grad_norm": 1.4205769300460815,
|
| 1467 |
+
"learning_rate": 9.436395066793518e-05,
|
| 1468 |
+
"loss": 0.049406200647354126,
|
| 1469 |
+
"mean_token_accuracy": 0.979697072505951,
|
| 1470 |
+
"num_tokens": 27345921.0,
|
| 1471 |
+
"step": 1450
|
| 1472 |
+
},
|
| 1473 |
+
{
|
| 1474 |
+
"entropy": 0.8969364166259766,
|
| 1475 |
+
"epoch": 1.965006729475101,
|
| 1476 |
+
"grad_norm": 0.9517145752906799,
|
| 1477 |
+
"learning_rate": 9.426086159739496e-05,
|
| 1478 |
+
"loss": 0.0510346531867981,
|
| 1479 |
+
"mean_token_accuracy": 0.9793386399745941,
|
| 1480 |
+
"num_tokens": 27534751.0,
|
| 1481 |
+
"step": 1460
|
| 1482 |
+
},
|
| 1483 |
+
{
|
| 1484 |
+
"entropy": 0.9092479169368743,
|
| 1485 |
+
"epoch": 1.9784656796769853,
|
| 1486 |
+
"grad_norm": 1.200056791305542,
|
| 1487 |
+
"learning_rate": 9.415689561572107e-05,
|
| 1488 |
+
"loss": 0.04974203705787659,
|
| 1489 |
+
"mean_token_accuracy": 0.9800146698951722,
|
| 1490 |
+
"num_tokens": 27723763.0,
|
| 1491 |
+
"step": 1470
|
| 1492 |
+
},
|
| 1493 |
+
{
|
| 1494 |
+
"entropy": 0.9059641897678375,
|
| 1495 |
+
"epoch": 1.9919246298788695,
|
| 1496 |
+
"grad_norm": 1.072447657585144,
|
| 1497 |
+
"learning_rate": 9.405205478272267e-05,
|
| 1498 |
+
"loss": 0.05065792202949524,
|
| 1499 |
+
"mean_token_accuracy": 0.9799223959445953,
|
| 1500 |
+
"num_tokens": 27911784.0,
|
| 1501 |
+
"step": 1480
|
| 1502 |
+
},
|
| 1503 |
+
{
|
| 1504 |
+
"epoch": 2.0,
|
| 1505 |
+
"eval_entropy": 0.9083398975384464,
|
| 1506 |
+
"eval_loss": 0.05432562157511711,
|
| 1507 |
+
"eval_mean_token_accuracy": 0.9782073607869969,
|
| 1508 |
+
"eval_num_tokens": 28025286.0,
|
| 1509 |
+
"eval_runtime": 24.4304,
|
| 1510 |
+
"eval_samples_per_second": 204.663,
|
| 1511 |
+
"eval_steps_per_second": 6.426,
|
| 1512 |
+
"step": 1486
|
| 1513 |
+
},
|
| 1514 |
+
{
|
| 1515 |
+
"entropy": 0.9113237977027893,
|
| 1516 |
+
"epoch": 2.005383580080754,
|
| 1517 |
+
"grad_norm": 1.0167063474655151,
|
| 1518 |
+
"learning_rate": 9.394634117554173e-05,
|
| 1519 |
+
"loss": 0.044942992925643924,
|
| 1520 |
+
"mean_token_accuracy": 0.9818171083927154,
|
| 1521 |
+
"num_tokens": 28100906.0,
|
| 1522 |
+
"step": 1490
|
| 1523 |
+
},
|
| 1524 |
+
{
|
| 1525 |
+
"entropy": 0.8780008792877197,
|
| 1526 |
+
"epoch": 2.018842530282638,
|
| 1527 |
+
"grad_norm": 1.9552241563796997,
|
| 1528 |
+
"learning_rate": 9.38397568886119e-05,
|
| 1529 |
+
"loss": 0.036248764395713805,
|
| 1530 |
+
"mean_token_accuracy": 0.9852245450019836,
|
| 1531 |
+
"num_tokens": 28289445.0,
|
| 1532 |
+
"step": 1500
|
| 1533 |
+
},
|
| 1534 |
+
{
|
| 1535 |
+
"entropy": 0.8721176147460937,
|
| 1536 |
+
"epoch": 2.0323014804845223,
|
| 1537 |
+
"grad_norm": 0.8951388001441956,
|
| 1538 |
+
"learning_rate": 9.373230403361712e-05,
|
| 1539 |
+
"loss": 0.037987279891967776,
|
| 1540 |
+
"mean_token_accuracy": 0.9850614190101623,
|
| 1541 |
+
"num_tokens": 28477972.0,
|
| 1542 |
+
"step": 1510
|
| 1543 |
+
},
|
| 1544 |
+
{
|
| 1545 |
+
"entropy": 0.8922657191753387,
|
| 1546 |
+
"epoch": 2.0457604306864066,
|
| 1547 |
+
"grad_norm": 0.9028105735778809,
|
| 1548 |
+
"learning_rate": 9.362398473944958e-05,
|
| 1549 |
+
"loss": 0.03588914275169373,
|
| 1550 |
+
"mean_token_accuracy": 0.9863102614879609,
|
| 1551 |
+
"num_tokens": 28666272.0,
|
| 1552 |
+
"step": 1520
|
| 1553 |
+
},
|
| 1554 |
+
{
|
| 1555 |
+
"entropy": 0.877799642086029,
|
| 1556 |
+
"epoch": 2.059219380888291,
|
| 1557 |
+
"grad_norm": 1.153886318206787,
|
| 1558 |
+
"learning_rate": 9.35148011521677e-05,
|
| 1559 |
+
"loss": 0.03577309250831604,
|
| 1560 |
+
"mean_token_accuracy": 0.9863148391246795,
|
| 1561 |
+
"num_tokens": 28854780.0,
|
| 1562 |
+
"step": 1530
|
| 1563 |
+
},
|
| 1564 |
+
{
|
| 1565 |
+
"entropy": 0.8708971381187439,
|
| 1566 |
+
"epoch": 2.072678331090175,
|
| 1567 |
+
"grad_norm": 1.042955994606018,
|
| 1568 |
+
"learning_rate": 9.340475543495364e-05,
|
| 1569 |
+
"loss": 0.038266432285308835,
|
| 1570 |
+
"mean_token_accuracy": 0.9848419308662415,
|
| 1571 |
+
"num_tokens": 29043741.0,
|
| 1572 |
+
"step": 1540
|
| 1573 |
+
},
|
| 1574 |
+
{
|
| 1575 |
+
"entropy": 0.8800721943378449,
|
| 1576 |
+
"epoch": 2.0861372812920593,
|
| 1577 |
+
"grad_norm": 0.6789060235023499,
|
| 1578 |
+
"learning_rate": 9.329384976807023e-05,
|
| 1579 |
+
"loss": 0.032948991656303404,
|
| 1580 |
+
"mean_token_accuracy": 0.9871293902397156,
|
| 1581 |
+
"num_tokens": 29232719.0,
|
| 1582 |
+
"step": 1550
|
| 1583 |
+
},
|
| 1584 |
+
{
|
| 1585 |
+
"entropy": 0.8743580460548401,
|
| 1586 |
+
"epoch": 2.0995962314939436,
|
| 1587 |
+
"grad_norm": 1.1780879497528076,
|
| 1588 |
+
"learning_rate": 9.318208634881802e-05,
|
| 1589 |
+
"loss": 0.036874374747276305,
|
| 1590 |
+
"mean_token_accuracy": 0.9859182178974152,
|
| 1591 |
+
"num_tokens": 29421817.0,
|
| 1592 |
+
"step": 1560
|
| 1593 |
+
},
|
| 1594 |
+
{
|
| 1595 |
+
"entropy": 0.8851303637027741,
|
| 1596 |
+
"epoch": 2.113055181695828,
|
| 1597 |
+
"grad_norm": 0.747734785079956,
|
| 1598 |
+
"learning_rate": 9.306946739149161e-05,
|
| 1599 |
+
"loss": 0.0364631175994873,
|
| 1600 |
+
"mean_token_accuracy": 0.9862085223197937,
|
| 1601 |
+
"num_tokens": 29610344.0,
|
| 1602 |
+
"step": 1570
|
| 1603 |
+
},
|
| 1604 |
+
{
|
| 1605 |
+
"entropy": 0.8798732101917267,
|
| 1606 |
+
"epoch": 2.126514131897712,
|
| 1607 |
+
"grad_norm": 1.5001860857009888,
|
| 1608 |
+
"learning_rate": 9.29559951273358e-05,
|
| 1609 |
+
"loss": 0.03813003897666931,
|
| 1610 |
+
"mean_token_accuracy": 0.9852604746818543,
|
| 1611 |
+
"num_tokens": 29798997.0,
|
| 1612 |
+
"step": 1580
|
| 1613 |
+
},
|
| 1614 |
+
{
|
| 1615 |
+
"entropy": 0.8797551989555359,
|
| 1616 |
+
"epoch": 2.1399730820995964,
|
| 1617 |
+
"grad_norm": 0.9593478441238403,
|
| 1618 |
+
"learning_rate": 9.284167180450141e-05,
|
| 1619 |
+
"loss": 0.0394927829504013,
|
| 1620 |
+
"mean_token_accuracy": 0.984604275226593,
|
| 1621 |
+
"num_tokens": 29987809.0,
|
| 1622 |
+
"step": 1590
|
| 1623 |
+
},
|
| 1624 |
+
{
|
| 1625 |
+
"entropy": 0.8860546290874481,
|
| 1626 |
+
"epoch": 2.1534320323014806,
|
| 1627 |
+
"grad_norm": 0.8347703218460083,
|
| 1628 |
+
"learning_rate": 9.272649968800069e-05,
|
| 1629 |
+
"loss": 0.036699697375297546,
|
| 1630 |
+
"mean_token_accuracy": 0.985380882024765,
|
| 1631 |
+
"num_tokens": 30176234.0,
|
| 1632 |
+
"step": 1600
|
| 1633 |
+
},
|
| 1634 |
+
{
|
| 1635 |
+
"entropy": 0.8783667802810669,
|
| 1636 |
+
"epoch": 2.166890982503365,
|
| 1637 |
+
"grad_norm": 1.1154481172561646,
|
| 1638 |
+
"learning_rate": 9.26104810596625e-05,
|
| 1639 |
+
"loss": 0.03756999969482422,
|
| 1640 |
+
"mean_token_accuracy": 0.9853451430797577,
|
| 1641 |
+
"num_tokens": 30364657.0,
|
| 1642 |
+
"step": 1610
|
| 1643 |
+
},
|
| 1644 |
+
{
|
| 1645 |
+
"entropy": 0.8684478521347045,
|
| 1646 |
+
"epoch": 2.180349932705249,
|
| 1647 |
+
"grad_norm": 0.7515475153923035,
|
| 1648 |
+
"learning_rate": 9.249361821808708e-05,
|
| 1649 |
+
"loss": 0.0382376104593277,
|
| 1650 |
+
"mean_token_accuracy": 0.9854029655456543,
|
| 1651 |
+
"num_tokens": 30552904.0,
|
| 1652 |
+
"step": 1620
|
| 1653 |
+
},
|
| 1654 |
+
{
|
| 1655 |
+
"entropy": 0.8636964917182922,
|
| 1656 |
+
"epoch": 2.1938088829071334,
|
| 1657 |
+
"grad_norm": 0.7711939215660095,
|
| 1658 |
+
"learning_rate": 9.237591347860052e-05,
|
| 1659 |
+
"loss": 0.036220991611480714,
|
| 1660 |
+
"mean_token_accuracy": 0.9860713243484497,
|
| 1661 |
+
"num_tokens": 30741259.0,
|
| 1662 |
+
"step": 1630
|
| 1663 |
+
},
|
| 1664 |
+
{
|
| 1665 |
+
"entropy": 0.8592016279697419,
|
| 1666 |
+
"epoch": 2.2072678331090176,
|
| 1667 |
+
"grad_norm": 1.1143887042999268,
|
| 1668 |
+
"learning_rate": 9.225736917320886e-05,
|
| 1669 |
+
"loss": 0.036316031217575075,
|
| 1670 |
+
"mean_token_accuracy": 0.985757052898407,
|
| 1671 |
+
"num_tokens": 30930144.0,
|
| 1672 |
+
"step": 1640
|
| 1673 |
+
},
|
| 1674 |
+
{
|
| 1675 |
+
"entropy": 0.8671079576015472,
|
| 1676 |
+
"epoch": 2.220726783310902,
|
| 1677 |
+
"grad_norm": 0.8980015516281128,
|
| 1678 |
+
"learning_rate": 9.213798765055187e-05,
|
| 1679 |
+
"loss": 0.03822658061981201,
|
| 1680 |
+
"mean_token_accuracy": 0.9847764372825623,
|
| 1681 |
+
"num_tokens": 31118624.0,
|
| 1682 |
+
"step": 1650
|
| 1683 |
+
},
|
| 1684 |
+
{
|
| 1685 |
+
"entropy": 0.8785548269748688,
|
| 1686 |
+
"epoch": 2.234185733512786,
|
| 1687 |
+
"grad_norm": 1.094323992729187,
|
| 1688 |
+
"learning_rate": 9.20177712758566e-05,
|
| 1689 |
+
"loss": 0.03736622333526611,
|
| 1690 |
+
"mean_token_accuracy": 0.9850081980228425,
|
| 1691 |
+
"num_tokens": 31306833.0,
|
| 1692 |
+
"step": 1660
|
| 1693 |
+
},
|
| 1694 |
+
{
|
| 1695 |
+
"entropy": 0.866977310180664,
|
| 1696 |
+
"epoch": 2.2476446837146704,
|
| 1697 |
+
"grad_norm": 0.8372092843055725,
|
| 1698 |
+
"learning_rate": 9.189672243089046e-05,
|
| 1699 |
+
"loss": 0.0401554524898529,
|
| 1700 |
+
"mean_token_accuracy": 0.9840337932109833,
|
| 1701 |
+
"num_tokens": 31495503.0,
|
| 1702 |
+
"step": 1670
|
| 1703 |
+
},
|
| 1704 |
+
{
|
| 1705 |
+
"entropy": 0.8787918210029602,
|
| 1706 |
+
"epoch": 2.2611036339165547,
|
| 1707 |
+
"grad_norm": 1.5408164262771606,
|
| 1708 |
+
"learning_rate": 9.177484351391402e-05,
|
| 1709 |
+
"loss": 0.0368030846118927,
|
| 1710 |
+
"mean_token_accuracy": 0.9847234487533569,
|
| 1711 |
+
"num_tokens": 31683865.0,
|
| 1712 |
+
"step": 1680
|
| 1713 |
+
},
|
| 1714 |
+
{
|
| 1715 |
+
"entropy": 0.872721153497696,
|
| 1716 |
+
"epoch": 2.274562584118439,
|
| 1717 |
+
"grad_norm": 1.1115421056747437,
|
| 1718 |
+
"learning_rate": 9.165213693963355e-05,
|
| 1719 |
+
"loss": 0.037859299778938295,
|
| 1720 |
+
"mean_token_accuracy": 0.9851646661758423,
|
| 1721 |
+
"num_tokens": 31871903.0,
|
| 1722 |
+
"step": 1690
|
| 1723 |
+
},
|
| 1724 |
+
{
|
| 1725 |
+
"entropy": 0.8774094223976135,
|
| 1726 |
+
"epoch": 2.288021534320323,
|
| 1727 |
+
"grad_norm": 1.0301331281661987,
|
| 1728 |
+
"learning_rate": 9.152860513915314e-05,
|
| 1729 |
+
"loss": 0.038671016693115234,
|
| 1730 |
+
"mean_token_accuracy": 0.9840058028697968,
|
| 1731 |
+
"num_tokens": 32060500.0,
|
| 1732 |
+
"step": 1700
|
| 1733 |
+
},
|
| 1734 |
+
{
|
| 1735 |
+
"entropy": 0.889606237411499,
|
| 1736 |
+
"epoch": 2.3014804845222074,
|
| 1737 |
+
"grad_norm": 0.8601903915405273,
|
| 1738 |
+
"learning_rate": 9.140425055992648e-05,
|
| 1739 |
+
"loss": 0.039603835344314574,
|
| 1740 |
+
"mean_token_accuracy": 0.9840235590934754,
|
| 1741 |
+
"num_tokens": 32248744.0,
|
| 1742 |
+
"step": 1710
|
| 1743 |
+
},
|
| 1744 |
+
{
|
| 1745 |
+
"entropy": 0.886734277009964,
|
| 1746 |
+
"epoch": 2.3149394347240917,
|
| 1747 |
+
"grad_norm": 1.1029839515686035,
|
| 1748 |
+
"learning_rate": 9.127907566570853e-05,
|
| 1749 |
+
"loss": 0.039513933658599856,
|
| 1750 |
+
"mean_token_accuracy": 0.9844573020935059,
|
| 1751 |
+
"num_tokens": 32437640.0,
|
| 1752 |
+
"step": 1720
|
| 1753 |
+
},
|
| 1754 |
+
{
|
| 1755 |
+
"entropy": 0.8843017637729644,
|
| 1756 |
+
"epoch": 2.328398384925976,
|
| 1757 |
+
"grad_norm": 1.2545154094696045,
|
| 1758 |
+
"learning_rate": 9.115308293650653e-05,
|
| 1759 |
+
"loss": 0.036970189213752745,
|
| 1760 |
+
"mean_token_accuracy": 0.985239815711975,
|
| 1761 |
+
"num_tokens": 32625986.0,
|
| 1762 |
+
"step": 1730
|
| 1763 |
+
},
|
| 1764 |
+
{
|
| 1765 |
+
"entropy": 0.8913422048091888,
|
| 1766 |
+
"epoch": 2.34185733512786,
|
| 1767 |
+
"grad_norm": 0.9613803625106812,
|
| 1768 |
+
"learning_rate": 9.102627486853099e-05,
|
| 1769 |
+
"loss": 0.03811657428741455,
|
| 1770 |
+
"mean_token_accuracy": 0.9852804243564606,
|
| 1771 |
+
"num_tokens": 32814531.0,
|
| 1772 |
+
"step": 1740
|
| 1773 |
+
},
|
| 1774 |
+
{
|
| 1775 |
+
"entropy": 0.8907467782497406,
|
| 1776 |
+
"epoch": 2.3553162853297445,
|
| 1777 |
+
"grad_norm": 1.1811398267745972,
|
| 1778 |
+
"learning_rate": 9.089865397414614e-05,
|
| 1779 |
+
"loss": 0.03903660774230957,
|
| 1780 |
+
"mean_token_accuracy": 0.9842524945735931,
|
| 1781 |
+
"num_tokens": 33002960.0,
|
| 1782 |
+
"step": 1750
|
| 1783 |
+
},
|
| 1784 |
+
{
|
| 1785 |
+
"entropy": 0.8833664715290069,
|
| 1786 |
+
"epoch": 2.3687752355316287,
|
| 1787 |
+
"grad_norm": 0.8338477611541748,
|
| 1788 |
+
"learning_rate": 9.077022278182024e-05,
|
| 1789 |
+
"loss": 0.03982087969779968,
|
| 1790 |
+
"mean_token_accuracy": 0.9841201484203339,
|
| 1791 |
+
"num_tokens": 33191183.0,
|
| 1792 |
+
"step": 1760
|
| 1793 |
+
},
|
| 1794 |
+
{
|
| 1795 |
+
"entropy": 0.8783826470375061,
|
| 1796 |
+
"epoch": 2.382234185733513,
|
| 1797 |
+
"grad_norm": 0.6904510259628296,
|
| 1798 |
+
"learning_rate": 9.064098383607545e-05,
|
| 1799 |
+
"loss": 0.03699290752410889,
|
| 1800 |
+
"mean_token_accuracy": 0.9854120731353759,
|
| 1801 |
+
"num_tokens": 33379798.0,
|
| 1802 |
+
"step": 1770
|
| 1803 |
+
},
|
| 1804 |
+
{
|
| 1805 |
+
"entropy": 0.8871048510074615,
|
| 1806 |
+
"epoch": 2.3956931359353972,
|
| 1807 |
+
"grad_norm": 1.009539246559143,
|
| 1808 |
+
"learning_rate": 9.051093969743738e-05,
|
| 1809 |
+
"loss": 0.03926805555820465,
|
| 1810 |
+
"mean_token_accuracy": 0.9843246698379516,
|
| 1811 |
+
"num_tokens": 33568531.0,
|
| 1812 |
+
"step": 1780
|
| 1813 |
+
},
|
| 1814 |
+
{
|
| 1815 |
+
"entropy": 0.8973462700843811,
|
| 1816 |
+
"epoch": 2.409152086137281,
|
| 1817 |
+
"grad_norm": 0.8916401267051697,
|
| 1818 |
+
"learning_rate": 9.03800929423844e-05,
|
| 1819 |
+
"loss": 0.039596831798553465,
|
| 1820 |
+
"mean_token_accuracy": 0.9839228212833404,
|
| 1821 |
+
"num_tokens": 33756333.0,
|
| 1822 |
+
"step": 1790
|
| 1823 |
+
},
|
| 1824 |
+
{
|
| 1825 |
+
"entropy": 0.8954619467258453,
|
| 1826 |
+
"epoch": 2.4226110363391653,
|
| 1827 |
+
"grad_norm": 1.056504487991333,
|
| 1828 |
+
"learning_rate": 9.024844616329662e-05,
|
| 1829 |
+
"loss": 0.0396859347820282,
|
| 1830 |
+
"mean_token_accuracy": 0.9837161123752594,
|
| 1831 |
+
"num_tokens": 33944904.0,
|
| 1832 |
+
"step": 1800
|
| 1833 |
+
},
|
| 1834 |
+
{
|
| 1835 |
+
"entropy": 0.8952643811702728,
|
| 1836 |
+
"epoch": 2.4360699865410496,
|
| 1837 |
+
"grad_norm": 1.0442084074020386,
|
| 1838 |
+
"learning_rate": 9.011600196840447e-05,
|
| 1839 |
+
"loss": 0.037324142456054685,
|
| 1840 |
+
"mean_token_accuracy": 0.9852897703647614,
|
| 1841 |
+
"num_tokens": 34133530.0,
|
| 1842 |
+
"step": 1810
|
| 1843 |
+
},
|
| 1844 |
+
{
|
| 1845 |
+
"entropy": 0.8874911010265351,
|
| 1846 |
+
"epoch": 2.449528936742934,
|
| 1847 |
+
"grad_norm": 0.9926224946975708,
|
| 1848 |
+
"learning_rate": 8.998276298173707e-05,
|
| 1849 |
+
"loss": 0.03637495338916778,
|
| 1850 |
+
"mean_token_accuracy": 0.9853426337242126,
|
| 1851 |
+
"num_tokens": 34322042.0,
|
| 1852 |
+
"step": 1820
|
| 1853 |
+
},
|
| 1854 |
+
{
|
| 1855 |
+
"entropy": 0.8900584518909455,
|
| 1856 |
+
"epoch": 2.462987886944818,
|
| 1857 |
+
"grad_norm": 1.001734733581543,
|
| 1858 |
+
"learning_rate": 8.984873184307017e-05,
|
| 1859 |
+
"loss": 0.04029585719108582,
|
| 1860 |
+
"mean_token_accuracy": 0.9842372059822082,
|
| 1861 |
+
"num_tokens": 34510259.0,
|
| 1862 |
+
"step": 1830
|
| 1863 |
+
},
|
| 1864 |
+
{
|
| 1865 |
+
"entropy": 0.8986345052719116,
|
| 1866 |
+
"epoch": 2.4764468371467023,
|
| 1867 |
+
"grad_norm": 0.772941529750824,
|
| 1868 |
+
"learning_rate": 8.971391120787397e-05,
|
| 1869 |
+
"loss": 0.0401084691286087,
|
| 1870 |
+
"mean_token_accuracy": 0.9841427087783814,
|
| 1871 |
+
"num_tokens": 34698669.0,
|
| 1872 |
+
"step": 1840
|
| 1873 |
+
},
|
| 1874 |
+
{
|
| 1875 |
+
"entropy": 0.8911370873451233,
|
| 1876 |
+
"epoch": 2.4899057873485866,
|
| 1877 |
+
"grad_norm": 0.895031213760376,
|
| 1878 |
+
"learning_rate": 8.957830374726042e-05,
|
| 1879 |
+
"loss": 0.03941032290458679,
|
| 1880 |
+
"mean_token_accuracy": 0.9841966688632965,
|
| 1881 |
+
"num_tokens": 34887160.0,
|
| 1882 |
+
"step": 1850
|
| 1883 |
+
},
|
| 1884 |
+
{
|
| 1885 |
+
"entropy": 0.8901963472366333,
|
| 1886 |
+
"epoch": 2.503364737550471,
|
| 1887 |
+
"grad_norm": 1.0677918195724487,
|
| 1888 |
+
"learning_rate": 8.944191214793028e-05,
|
| 1889 |
+
"loss": 0.03503885865211487,
|
| 1890 |
+
"mean_token_accuracy": 0.9856241464614868,
|
| 1891 |
+
"num_tokens": 35075891.0,
|
| 1892 |
+
"step": 1860
|
| 1893 |
+
},
|
| 1894 |
+
{
|
| 1895 |
+
"entropy": 0.8817630231380462,
|
| 1896 |
+
"epoch": 2.516823687752355,
|
| 1897 |
+
"grad_norm": 1.1200164556503296,
|
| 1898 |
+
"learning_rate": 8.930473911212e-05,
|
| 1899 |
+
"loss": 0.03878425657749176,
|
| 1900 |
+
"mean_token_accuracy": 0.9846492648124695,
|
| 1901 |
+
"num_tokens": 35264455.0,
|
| 1902 |
+
"step": 1870
|
| 1903 |
+
},
|
| 1904 |
+
{
|
| 1905 |
+
"entropy": 0.8897477686405182,
|
| 1906 |
+
"epoch": 2.5302826379542394,
|
| 1907 |
+
"grad_norm": 0.8058190941810608,
|
| 1908 |
+
"learning_rate": 8.916678735754809e-05,
|
| 1909 |
+
"loss": 0.041558006405830385,
|
| 1910 |
+
"mean_token_accuracy": 0.9830883860588073,
|
| 1911 |
+
"num_tokens": 35453251.0,
|
| 1912 |
+
"step": 1880
|
| 1913 |
+
},
|
| 1914 |
+
{
|
| 1915 |
+
"entropy": 0.8873181045055389,
|
| 1916 |
+
"epoch": 2.5437415881561236,
|
| 1917 |
+
"grad_norm": 0.7765992283821106,
|
| 1918 |
+
"learning_rate": 8.902805961736123e-05,
|
| 1919 |
+
"loss": 0.03555050492286682,
|
| 1920 |
+
"mean_token_accuracy": 0.9858225345611572,
|
| 1921 |
+
"num_tokens": 35641959.0,
|
| 1922 |
+
"step": 1890
|
| 1923 |
+
},
|
| 1924 |
+
{
|
| 1925 |
+
"entropy": 0.8782606959342957,
|
| 1926 |
+
"epoch": 2.557200538358008,
|
| 1927 |
+
"grad_norm": 0.8488866686820984,
|
| 1928 |
+
"learning_rate": 8.88885586400803e-05,
|
| 1929 |
+
"loss": 0.03606923818588257,
|
| 1930 |
+
"mean_token_accuracy": 0.9858632445335388,
|
| 1931 |
+
"num_tokens": 35829636.0,
|
| 1932 |
+
"step": 1900
|
| 1933 |
+
},
|
| 1934 |
+
{
|
| 1935 |
+
"entropy": 0.8869808673858642,
|
| 1936 |
+
"epoch": 2.570659488559892,
|
| 1937 |
+
"grad_norm": 1.1734739542007446,
|
| 1938 |
+
"learning_rate": 8.874828718954576e-05,
|
| 1939 |
+
"loss": 0.040956351161003116,
|
| 1940 |
+
"mean_token_accuracy": 0.9835374176502227,
|
| 1941 |
+
"num_tokens": 36017818.0,
|
| 1942 |
+
"step": 1910
|
| 1943 |
+
},
|
| 1944 |
+
{
|
| 1945 |
+
"entropy": 0.8850924432277679,
|
| 1946 |
+
"epoch": 2.5841184387617764,
|
| 1947 |
+
"grad_norm": 1.3584387302398682,
|
| 1948 |
+
"learning_rate": 8.86072480448629e-05,
|
| 1949 |
+
"loss": 0.042437011003494264,
|
| 1950 |
+
"mean_token_accuracy": 0.9826479077339172,
|
| 1951 |
+
"num_tokens": 36206505.0,
|
| 1952 |
+
"step": 1920
|
| 1953 |
+
},
|
| 1954 |
+
{
|
| 1955 |
+
"entropy": 0.8801687896251679,
|
| 1956 |
+
"epoch": 2.5975773889636606,
|
| 1957 |
+
"grad_norm": 1.2862240076065063,
|
| 1958 |
+
"learning_rate": 8.84654440003469e-05,
|
| 1959 |
+
"loss": 0.03880060315132141,
|
| 1960 |
+
"mean_token_accuracy": 0.9843404710292816,
|
| 1961 |
+
"num_tokens": 36395802.0,
|
| 1962 |
+
"step": 1930
|
| 1963 |
+
},
|
| 1964 |
+
{
|
| 1965 |
+
"entropy": 0.8752781748771667,
|
| 1966 |
+
"epoch": 2.611036339165545,
|
| 1967 |
+
"grad_norm": 0.7341249585151672,
|
| 1968 |
+
"learning_rate": 8.83228778654674e-05,
|
| 1969 |
+
"loss": 0.03776344656944275,
|
| 1970 |
+
"mean_token_accuracy": 0.9852877616882324,
|
| 1971 |
+
"num_tokens": 36584370.0,
|
| 1972 |
+
"step": 1940
|
| 1973 |
+
},
|
| 1974 |
+
{
|
| 1975 |
+
"entropy": 0.8759494423866272,
|
| 1976 |
+
"epoch": 2.624495289367429,
|
| 1977 |
+
"grad_norm": 0.9807276129722595,
|
| 1978 |
+
"learning_rate": 8.817955246479276e-05,
|
| 1979 |
+
"loss": 0.03780297338962555,
|
| 1980 |
+
"mean_token_accuracy": 0.9853227376937866,
|
| 1981 |
+
"num_tokens": 36772865.0,
|
| 1982 |
+
"step": 1950
|
| 1983 |
+
},
|
| 1984 |
+
{
|
| 1985 |
+
"entropy": 0.8753129065036773,
|
| 1986 |
+
"epoch": 2.6379542395693134,
|
| 1987 |
+
"grad_norm": 1.1391628980636597,
|
| 1988 |
+
"learning_rate": 8.803547063793422e-05,
|
| 1989 |
+
"loss": 0.03953765034675598,
|
| 1990 |
+
"mean_token_accuracy": 0.9839197635650635,
|
| 1991 |
+
"num_tokens": 36961462.0,
|
| 1992 |
+
"step": 1960
|
| 1993 |
+
},
|
| 1994 |
+
{
|
| 1995 |
+
"entropy": 0.8771899223327637,
|
| 1996 |
+
"epoch": 2.6514131897711977,
|
| 1997 |
+
"grad_norm": 1.0865391492843628,
|
| 1998 |
+
"learning_rate": 8.789063523948958e-05,
|
| 1999 |
+
"loss": 0.03856399655342102,
|
| 2000 |
+
"mean_token_accuracy": 0.9848688066005706,
|
| 2001 |
+
"num_tokens": 37150486.0,
|
| 2002 |
+
"step": 1970
|
| 2003 |
+
},
|
| 2004 |
+
{
|
| 2005 |
+
"entropy": 0.8774881184101104,
|
| 2006 |
+
"epoch": 2.664872139973082,
|
| 2007 |
+
"grad_norm": 0.8561595678329468,
|
| 2008 |
+
"learning_rate": 8.774504913898663e-05,
|
| 2009 |
+
"loss": 0.03795175850391388,
|
| 2010 |
+
"mean_token_accuracy": 0.9849309325218201,
|
| 2011 |
+
"num_tokens": 37338890.0,
|
| 2012 |
+
"step": 1980
|
| 2013 |
+
},
|
| 2014 |
+
{
|
| 2015 |
+
"entropy": 0.8841517448425293,
|
| 2016 |
+
"epoch": 2.678331090174966,
|
| 2017 |
+
"grad_norm": 0.9458399415016174,
|
| 2018 |
+
"learning_rate": 8.75987152208264e-05,
|
| 2019 |
+
"loss": 0.03860213160514832,
|
| 2020 |
+
"mean_token_accuracy": 0.9842230796813964,
|
| 2021 |
+
"num_tokens": 37526886.0,
|
| 2022 |
+
"step": 1990
|
| 2023 |
+
},
|
| 2024 |
+
{
|
| 2025 |
+
"entropy": 0.8809043228626251,
|
| 2026 |
+
"epoch": 2.6917900403768504,
|
| 2027 |
+
"grad_norm": 0.9360871315002441,
|
| 2028 |
+
"learning_rate": 8.745163638422583e-05,
|
| 2029 |
+
"loss": 0.03709094822406769,
|
| 2030 |
+
"mean_token_accuracy": 0.9855118036270142,
|
| 2031 |
+
"num_tokens": 37715408.0,
|
| 2032 |
+
"step": 2000
|
| 2033 |
+
},
|
| 2034 |
+
{
|
| 2035 |
+
"entropy": 0.8805519282817841,
|
| 2036 |
+
"epoch": 2.7052489905787347,
|
| 2037 |
+
"grad_norm": 0.8852124214172363,
|
| 2038 |
+
"learning_rate": 8.730381554316051e-05,
|
| 2039 |
+
"loss": 0.03869341611862183,
|
| 2040 |
+
"mean_token_accuracy": 0.9846724212169647,
|
| 2041 |
+
"num_tokens": 37904328.0,
|
| 2042 |
+
"step": 2010
|
| 2043 |
+
},
|
| 2044 |
+
{
|
| 2045 |
+
"entropy": 0.8796228408813477,
|
| 2046 |
+
"epoch": 2.718707940780619,
|
| 2047 |
+
"grad_norm": 1.189297080039978,
|
| 2048 |
+
"learning_rate": 8.715525562630687e-05,
|
| 2049 |
+
"loss": 0.03675769567489624,
|
| 2050 |
+
"mean_token_accuracy": 0.9854080140590668,
|
| 2051 |
+
"num_tokens": 38092776.0,
|
| 2052 |
+
"step": 2020
|
| 2053 |
+
},
|
| 2054 |
+
{
|
| 2055 |
+
"entropy": 0.8722020089626312,
|
| 2056 |
+
"epoch": 2.732166890982503,
|
| 2057 |
+
"grad_norm": 0.7027947306632996,
|
| 2058 |
+
"learning_rate": 8.700595957698411e-05,
|
| 2059 |
+
"loss": 0.03889244794845581,
|
| 2060 |
+
"mean_token_accuracy": 0.984558242559433,
|
| 2061 |
+
"num_tokens": 38282221.0,
|
| 2062 |
+
"step": 2030
|
| 2063 |
+
},
|
| 2064 |
+
{
|
| 2065 |
+
"entropy": 0.8746632814407349,
|
| 2066 |
+
"epoch": 2.7456258411843875,
|
| 2067 |
+
"grad_norm": 0.9799376726150513,
|
| 2068 |
+
"learning_rate": 8.685593035309598e-05,
|
| 2069 |
+
"loss": 0.03815680146217346,
|
| 2070 |
+
"mean_token_accuracy": 0.9845012128353119,
|
| 2071 |
+
"num_tokens": 38470633.0,
|
| 2072 |
+
"step": 2040
|
| 2073 |
+
},
|
| 2074 |
+
{
|
| 2075 |
+
"entropy": 0.8766567528247833,
|
| 2076 |
+
"epoch": 2.7590847913862717,
|
| 2077 |
+
"grad_norm": 0.850459098815918,
|
| 2078 |
+
"learning_rate": 8.670517092707213e-05,
|
| 2079 |
+
"loss": 0.039029371738433835,
|
| 2080 |
+
"mean_token_accuracy": 0.9845906794071198,
|
| 2081 |
+
"num_tokens": 38659048.0,
|
| 2082 |
+
"step": 2050
|
| 2083 |
+
},
|
| 2084 |
+
{
|
| 2085 |
+
"entropy": 0.8778688013553619,
|
| 2086 |
+
"epoch": 2.772543741588156,
|
| 2087 |
+
"grad_norm": 0.8540134429931641,
|
| 2088 |
+
"learning_rate": 8.655368428580919e-05,
|
| 2089 |
+
"loss": 0.039645448327064514,
|
| 2090 |
+
"mean_token_accuracy": 0.9840566098690033,
|
| 2091 |
+
"num_tokens": 38847370.0,
|
| 2092 |
+
"step": 2060
|
| 2093 |
+
},
|
| 2094 |
+
{
|
| 2095 |
+
"entropy": 0.8758600771427154,
|
| 2096 |
+
"epoch": 2.7860026917900402,
|
| 2097 |
+
"grad_norm": 0.8036021590232849,
|
| 2098 |
+
"learning_rate": 8.640147343061165e-05,
|
| 2099 |
+
"loss": 0.038226932287216187,
|
| 2100 |
+
"mean_token_accuracy": 0.9845647215843201,
|
| 2101 |
+
"num_tokens": 39036040.0,
|
| 2102 |
+
"step": 2070
|
| 2103 |
+
},
|
| 2104 |
+
{
|
| 2105 |
+
"entropy": 0.8652268946170807,
|
| 2106 |
+
"epoch": 2.7994616419919245,
|
| 2107 |
+
"grad_norm": 0.8526738286018372,
|
| 2108 |
+
"learning_rate": 8.624854137713234e-05,
|
| 2109 |
+
"loss": 0.03798363208770752,
|
| 2110 |
+
"mean_token_accuracy": 0.9845202267169952,
|
| 2111 |
+
"num_tokens": 39224695.0,
|
| 2112 |
+
"step": 2080
|
| 2113 |
+
},
|
| 2114 |
+
{
|
| 2115 |
+
"entropy": 0.8707200348377228,
|
| 2116 |
+
"epoch": 2.8129205921938087,
|
| 2117 |
+
"grad_norm": 0.9852389097213745,
|
| 2118 |
+
"learning_rate": 8.609489115531278e-05,
|
| 2119 |
+
"loss": 0.037227436900138855,
|
| 2120 |
+
"mean_token_accuracy": 0.9852050960063934,
|
| 2121 |
+
"num_tokens": 39413360.0,
|
| 2122 |
+
"step": 2090
|
| 2123 |
+
},
|
| 2124 |
+
{
|
| 2125 |
+
"entropy": 0.8711447060108185,
|
| 2126 |
+
"epoch": 2.826379542395693,
|
| 2127 |
+
"grad_norm": 1.228277325630188,
|
| 2128 |
+
"learning_rate": 8.594052580932301e-05,
|
| 2129 |
+
"loss": 0.03698050379753113,
|
| 2130 |
+
"mean_token_accuracy": 0.9852443158626556,
|
| 2131 |
+
"num_tokens": 39602544.0,
|
| 2132 |
+
"step": 2100
|
| 2133 |
+
},
|
| 2134 |
+
{
|
| 2135 |
+
"entropy": 0.8742912471294403,
|
| 2136 |
+
"epoch": 2.8398384925975773,
|
| 2137 |
+
"grad_norm": 0.8440544605255127,
|
| 2138 |
+
"learning_rate": 8.578544839750141e-05,
|
| 2139 |
+
"loss": 0.03757670521736145,
|
| 2140 |
+
"mean_token_accuracy": 0.9848618268966675,
|
| 2141 |
+
"num_tokens": 39791340.0,
|
| 2142 |
+
"step": 2110
|
| 2143 |
+
},
|
| 2144 |
+
{
|
| 2145 |
+
"entropy": 0.8801726162433624,
|
| 2146 |
+
"epoch": 2.8532974427994615,
|
| 2147 |
+
"grad_norm": 1.0955252647399902,
|
| 2148 |
+
"learning_rate": 8.562966199229399e-05,
|
| 2149 |
+
"loss": 0.040004149079322815,
|
| 2150 |
+
"mean_token_accuracy": 0.9841345012187958,
|
| 2151 |
+
"num_tokens": 39980212.0,
|
| 2152 |
+
"step": 2120
|
| 2153 |
+
},
|
| 2154 |
+
{
|
| 2155 |
+
"entropy": 0.8931492984294891,
|
| 2156 |
+
"epoch": 2.8667563930013458,
|
| 2157 |
+
"grad_norm": 0.5722652673721313,
|
| 2158 |
+
"learning_rate": 8.547316968019363e-05,
|
| 2159 |
+
"loss": 0.038096648454666135,
|
| 2160 |
+
"mean_token_accuracy": 0.9849136590957641,
|
| 2161 |
+
"num_tokens": 40169122.0,
|
| 2162 |
+
"step": 2130
|
| 2163 |
+
},
|
| 2164 |
+
{
|
| 2165 |
+
"entropy": 0.8767493844032288,
|
| 2166 |
+
"epoch": 2.88021534320323,
|
| 2167 |
+
"grad_norm": 0.7663730382919312,
|
| 2168 |
+
"learning_rate": 8.531597456167885e-05,
|
| 2169 |
+
"loss": 0.03729096055030823,
|
| 2170 |
+
"mean_token_accuracy": 0.985169780254364,
|
| 2171 |
+
"num_tokens": 40357678.0,
|
| 2172 |
+
"step": 2140
|
| 2173 |
+
},
|
| 2174 |
+
{
|
| 2175 |
+
"entropy": 0.8770561516284943,
|
| 2176 |
+
"epoch": 2.8936742934051143,
|
| 2177 |
+
"grad_norm": 1.1505672931671143,
|
| 2178 |
+
"learning_rate": 8.515807975115239e-05,
|
| 2179 |
+
"loss": 0.03984796404838562,
|
| 2180 |
+
"mean_token_accuracy": 0.9838845670223236,
|
| 2181 |
+
"num_tokens": 40546892.0,
|
| 2182 |
+
"step": 2150
|
| 2183 |
+
},
|
| 2184 |
+
{
|
| 2185 |
+
"entropy": 0.8789129912853241,
|
| 2186 |
+
"epoch": 2.9071332436069985,
|
| 2187 |
+
"grad_norm": 0.8355761766433716,
|
| 2188 |
+
"learning_rate": 8.499948837687959e-05,
|
| 2189 |
+
"loss": 0.03769223690032959,
|
| 2190 |
+
"mean_token_accuracy": 0.9847559213638306,
|
| 2191 |
+
"num_tokens": 40736109.0,
|
| 2192 |
+
"step": 2160
|
| 2193 |
+
},
|
| 2194 |
+
{
|
| 2195 |
+
"entropy": 0.8781779289245606,
|
| 2196 |
+
"epoch": 2.920592193808883,
|
| 2197 |
+
"grad_norm": 0.9103918075561523,
|
| 2198 |
+
"learning_rate": 8.484020358092625e-05,
|
| 2199 |
+
"loss": 0.038262826204299924,
|
| 2200 |
+
"mean_token_accuracy": 0.984741848707199,
|
| 2201 |
+
"num_tokens": 40924341.0,
|
| 2202 |
+
"step": 2170
|
| 2203 |
+
},
|
| 2204 |
+
{
|
| 2205 |
+
"entropy": 0.8552807629108429,
|
| 2206 |
+
"epoch": 2.934051144010767,
|
| 2207 |
+
"grad_norm": 0.8338510990142822,
|
| 2208 |
+
"learning_rate": 8.468022851909657e-05,
|
| 2209 |
+
"loss": 0.0355743408203125,
|
| 2210 |
+
"mean_token_accuracy": 0.9855036079883576,
|
| 2211 |
+
"num_tokens": 41113849.0,
|
| 2212 |
+
"step": 2180
|
| 2213 |
+
},
|
| 2214 |
+
{
|
| 2215 |
+
"entropy": 0.8705591142177582,
|
| 2216 |
+
"epoch": 2.9475100942126513,
|
| 2217 |
+
"grad_norm": 0.8334057927131653,
|
| 2218 |
+
"learning_rate": 8.451956636087046e-05,
|
| 2219 |
+
"loss": 0.037476515769958495,
|
| 2220 |
+
"mean_token_accuracy": 0.9854551255702972,
|
| 2221 |
+
"num_tokens": 41303130.0,
|
| 2222 |
+
"step": 2190
|
| 2223 |
+
},
|
| 2224 |
+
{
|
| 2225 |
+
"entropy": 0.8809274792671203,
|
| 2226 |
+
"epoch": 2.9609690444145356,
|
| 2227 |
+
"grad_norm": 0.9424103498458862,
|
| 2228 |
+
"learning_rate": 8.435822028934087e-05,
|
| 2229 |
+
"loss": 0.03624279499053955,
|
| 2230 |
+
"mean_token_accuracy": 0.9856135487556458,
|
| 2231 |
+
"num_tokens": 41491750.0,
|
| 2232 |
+
"step": 2200
|
| 2233 |
+
},
|
| 2234 |
+
{
|
| 2235 |
+
"entropy": 0.8818133771419525,
|
| 2236 |
+
"epoch": 2.97442799461642,
|
| 2237 |
+
"grad_norm": 1.04243004322052,
|
| 2238 |
+
"learning_rate": 8.41961935011506e-05,
|
| 2239 |
+
"loss": 0.039132320880889894,
|
| 2240 |
+
"mean_token_accuracy": 0.984746390581131,
|
| 2241 |
+
"num_tokens": 41680493.0,
|
| 2242 |
+
"step": 2210
|
| 2243 |
+
},
|
| 2244 |
+
{
|
| 2245 |
+
"entropy": 0.8838395297527313,
|
| 2246 |
+
"epoch": 2.987886944818304,
|
| 2247 |
+
"grad_norm": 0.8650784492492676,
|
| 2248 |
+
"learning_rate": 8.403348920642911e-05,
|
| 2249 |
+
"loss": 0.03822052478790283,
|
| 2250 |
+
"mean_token_accuracy": 0.9852108955383301,
|
| 2251 |
+
"num_tokens": 41868378.0,
|
| 2252 |
+
"step": 2220
|
| 2253 |
+
},
|
| 2254 |
+
{
|
| 2255 |
+
"epoch": 3.0,
|
| 2256 |
+
"eval_entropy": 0.8800126549544608,
|
| 2257 |
+
"eval_loss": 0.05468416586518288,
|
| 2258 |
+
"eval_mean_token_accuracy": 0.9781015617832257,
|
| 2259 |
+
"eval_num_tokens": 42038037.0,
|
| 2260 |
+
"eval_runtime": 24.4825,
|
| 2261 |
+
"eval_samples_per_second": 204.228,
|
| 2262 |
+
"eval_steps_per_second": 6.413,
|
| 2263 |
+
"step": 2229
|
| 2264 |
+
}
|
| 2265 |
+
],
|
| 2266 |
+
"logging_steps": 10,
|
| 2267 |
+
"max_steps": 7430,
|
| 2268 |
+
"num_input_tokens_seen": 0,
|
| 2269 |
+
"num_train_epochs": 10,
|
| 2270 |
+
"save_steps": 500,
|
| 2271 |
+
"stateful_callbacks": {
|
| 2272 |
+
"TrainerControl": {
|
| 2273 |
+
"args": {
|
| 2274 |
+
"should_epoch_stop": false,
|
| 2275 |
+
"should_evaluate": false,
|
| 2276 |
+
"should_log": false,
|
| 2277 |
+
"should_save": true,
|
| 2278 |
+
"should_training_stop": false
|
| 2279 |
+
},
|
| 2280 |
+
"attributes": {}
|
| 2281 |
+
}
|
| 2282 |
+
},
|
| 2283 |
+
"total_flos": 2.0311131063058432e+18,
|
| 2284 |
+
"train_batch_size": 32,
|
| 2285 |
+
"trial_name": null,
|
| 2286 |
+
"trial_params": null
|
| 2287 |
+
}
|
baby_talk_L16_a50/seed_42/checkpoint-2229/training_args.bin
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:c060e97b69d99564c146471c3d3ac4d335e3b1968074124f4edc5aebf612e1e3
|
| 3 |
+
size 5368
|
baby_talk_L16_a50/seed_42/checkpoint-2972/README.md
ADDED
|
@@ -0,0 +1,209 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
---
|
| 2 |
+
base_model: Qwen/Qwen2.5-7B-Instruct
|
| 3 |
+
library_name: peft
|
| 4 |
+
pipeline_tag: text-generation
|
| 5 |
+
tags:
|
| 6 |
+
- base_model:adapter:Qwen/Qwen2.5-7B-Instruct
|
| 7 |
+
- lora
|
| 8 |
+
- sft
|
| 9 |
+
- transformers
|
| 10 |
+
- trl
|
| 11 |
+
---
|
| 12 |
+
|
| 13 |
+
# Model Card for Model ID
|
| 14 |
+
|
| 15 |
+
<!-- Provide a quick summary of what the model is/does. -->
|
| 16 |
+
|
| 17 |
+
|
| 18 |
+
|
| 19 |
+
## Model Details
|
| 20 |
+
|
| 21 |
+
### Model Description
|
| 22 |
+
|
| 23 |
+
<!-- Provide a longer summary of what this model is. -->
|
| 24 |
+
|
| 25 |
+
|
| 26 |
+
|
| 27 |
+
- **Developed by:** [More Information Needed]
|
| 28 |
+
- **Funded by [optional]:** [More Information Needed]
|
| 29 |
+
- **Shared by [optional]:** [More Information Needed]
|
| 30 |
+
- **Model type:** [More Information Needed]
|
| 31 |
+
- **Language(s) (NLP):** [More Information Needed]
|
| 32 |
+
- **License:** [More Information Needed]
|
| 33 |
+
- **Finetuned from model [optional]:** [More Information Needed]
|
| 34 |
+
|
| 35 |
+
### Model Sources [optional]
|
| 36 |
+
|
| 37 |
+
<!-- Provide the basic links for the model. -->
|
| 38 |
+
|
| 39 |
+
- **Repository:** [More Information Needed]
|
| 40 |
+
- **Paper [optional]:** [More Information Needed]
|
| 41 |
+
- **Demo [optional]:** [More Information Needed]
|
| 42 |
+
|
| 43 |
+
## Uses
|
| 44 |
+
|
| 45 |
+
<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
|
| 46 |
+
|
| 47 |
+
### Direct Use
|
| 48 |
+
|
| 49 |
+
<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
|
| 50 |
+
|
| 51 |
+
[More Information Needed]
|
| 52 |
+
|
| 53 |
+
### Downstream Use [optional]
|
| 54 |
+
|
| 55 |
+
<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
|
| 56 |
+
|
| 57 |
+
[More Information Needed]
|
| 58 |
+
|
| 59 |
+
### Out-of-Scope Use
|
| 60 |
+
|
| 61 |
+
<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
|
| 62 |
+
|
| 63 |
+
[More Information Needed]
|
| 64 |
+
|
| 65 |
+
## Bias, Risks, and Limitations
|
| 66 |
+
|
| 67 |
+
<!-- This section is meant to convey both technical and sociotechnical limitations. -->
|
| 68 |
+
|
| 69 |
+
[More Information Needed]
|
| 70 |
+
|
| 71 |
+
### Recommendations
|
| 72 |
+
|
| 73 |
+
<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
|
| 74 |
+
|
| 75 |
+
Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
|
| 76 |
+
|
| 77 |
+
## How to Get Started with the Model
|
| 78 |
+
|
| 79 |
+
Use the code below to get started with the model.
|
| 80 |
+
|
| 81 |
+
[More Information Needed]
|
| 82 |
+
|
| 83 |
+
## Training Details
|
| 84 |
+
|
| 85 |
+
### Training Data
|
| 86 |
+
|
| 87 |
+
<!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
|
| 88 |
+
|
| 89 |
+
[More Information Needed]
|
| 90 |
+
|
| 91 |
+
### Training Procedure
|
| 92 |
+
|
| 93 |
+
<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
|
| 94 |
+
|
| 95 |
+
#### Preprocessing [optional]
|
| 96 |
+
|
| 97 |
+
[More Information Needed]
|
| 98 |
+
|
| 99 |
+
|
| 100 |
+
#### Training Hyperparameters
|
| 101 |
+
|
| 102 |
+
- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
|
| 103 |
+
|
| 104 |
+
#### Speeds, Sizes, Times [optional]
|
| 105 |
+
|
| 106 |
+
<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
|
| 107 |
+
|
| 108 |
+
[More Information Needed]
|
| 109 |
+
|
| 110 |
+
## Evaluation
|
| 111 |
+
|
| 112 |
+
<!-- This section describes the evaluation protocols and provides the results. -->
|
| 113 |
+
|
| 114 |
+
### Testing Data, Factors & Metrics
|
| 115 |
+
|
| 116 |
+
#### Testing Data
|
| 117 |
+
|
| 118 |
+
<!-- This should link to a Dataset Card if possible. -->
|
| 119 |
+
|
| 120 |
+
[More Information Needed]
|
| 121 |
+
|
| 122 |
+
#### Factors
|
| 123 |
+
|
| 124 |
+
<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
|
| 125 |
+
|
| 126 |
+
[More Information Needed]
|
| 127 |
+
|
| 128 |
+
#### Metrics
|
| 129 |
+
|
| 130 |
+
<!-- These are the evaluation metrics being used, ideally with a description of why. -->
|
| 131 |
+
|
| 132 |
+
[More Information Needed]
|
| 133 |
+
|
| 134 |
+
### Results
|
| 135 |
+
|
| 136 |
+
[More Information Needed]
|
| 137 |
+
|
| 138 |
+
#### Summary
|
| 139 |
+
|
| 140 |
+
|
| 141 |
+
|
| 142 |
+
## Model Examination [optional]
|
| 143 |
+
|
| 144 |
+
<!-- Relevant interpretability work for the model goes here -->
|
| 145 |
+
|
| 146 |
+
[More Information Needed]
|
| 147 |
+
|
| 148 |
+
## Environmental Impact
|
| 149 |
+
|
| 150 |
+
<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
|
| 151 |
+
|
| 152 |
+
Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
|
| 153 |
+
|
| 154 |
+
- **Hardware Type:** [More Information Needed]
|
| 155 |
+
- **Hours used:** [More Information Needed]
|
| 156 |
+
- **Cloud Provider:** [More Information Needed]
|
| 157 |
+
- **Compute Region:** [More Information Needed]
|
| 158 |
+
- **Carbon Emitted:** [More Information Needed]
|
| 159 |
+
|
| 160 |
+
## Technical Specifications [optional]
|
| 161 |
+
|
| 162 |
+
### Model Architecture and Objective
|
| 163 |
+
|
| 164 |
+
[More Information Needed]
|
| 165 |
+
|
| 166 |
+
### Compute Infrastructure
|
| 167 |
+
|
| 168 |
+
[More Information Needed]
|
| 169 |
+
|
| 170 |
+
#### Hardware
|
| 171 |
+
|
| 172 |
+
[More Information Needed]
|
| 173 |
+
|
| 174 |
+
#### Software
|
| 175 |
+
|
| 176 |
+
[More Information Needed]
|
| 177 |
+
|
| 178 |
+
## Citation [optional]
|
| 179 |
+
|
| 180 |
+
<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
|
| 181 |
+
|
| 182 |
+
**BibTeX:**
|
| 183 |
+
|
| 184 |
+
[More Information Needed]
|
| 185 |
+
|
| 186 |
+
**APA:**
|
| 187 |
+
|
| 188 |
+
[More Information Needed]
|
| 189 |
+
|
| 190 |
+
## Glossary [optional]
|
| 191 |
+
|
| 192 |
+
<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
|
| 193 |
+
|
| 194 |
+
[More Information Needed]
|
| 195 |
+
|
| 196 |
+
## More Information [optional]
|
| 197 |
+
|
| 198 |
+
[More Information Needed]
|
| 199 |
+
|
| 200 |
+
## Model Card Authors [optional]
|
| 201 |
+
|
| 202 |
+
[More Information Needed]
|
| 203 |
+
|
| 204 |
+
## Model Card Contact
|
| 205 |
+
|
| 206 |
+
[More Information Needed]
|
| 207 |
+
### Framework versions
|
| 208 |
+
|
| 209 |
+
- PEFT 0.18.1
|
baby_talk_L16_a50/seed_42/checkpoint-2972/adapter_config.json
ADDED
|
@@ -0,0 +1,46 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"alora_invocation_tokens": null,
|
| 3 |
+
"alpha_pattern": {},
|
| 4 |
+
"arrow_config": null,
|
| 5 |
+
"auto_mapping": null,
|
| 6 |
+
"base_model_name_or_path": "Qwen/Qwen2.5-7B-Instruct",
|
| 7 |
+
"bias": "none",
|
| 8 |
+
"corda_config": null,
|
| 9 |
+
"ensure_weight_tying": false,
|
| 10 |
+
"eva_config": null,
|
| 11 |
+
"exclude_modules": null,
|
| 12 |
+
"fan_in_fan_out": false,
|
| 13 |
+
"inference_mode": true,
|
| 14 |
+
"init_lora_weights": true,
|
| 15 |
+
"layer_replication": null,
|
| 16 |
+
"layers_pattern": null,
|
| 17 |
+
"layers_to_transform": null,
|
| 18 |
+
"loftq_config": {},
|
| 19 |
+
"lora_alpha": 32,
|
| 20 |
+
"lora_bias": false,
|
| 21 |
+
"lora_dropout": 0.05,
|
| 22 |
+
"megatron_config": null,
|
| 23 |
+
"megatron_core": "megatron.core",
|
| 24 |
+
"modules_to_save": null,
|
| 25 |
+
"peft_type": "LORA",
|
| 26 |
+
"peft_version": "0.18.1",
|
| 27 |
+
"qalora_group_size": 16,
|
| 28 |
+
"r": 8,
|
| 29 |
+
"rank_pattern": {},
|
| 30 |
+
"revision": null,
|
| 31 |
+
"target_modules": [
|
| 32 |
+
"v_proj",
|
| 33 |
+
"gate_proj",
|
| 34 |
+
"o_proj",
|
| 35 |
+
"q_proj",
|
| 36 |
+
"up_proj",
|
| 37 |
+
"down_proj",
|
| 38 |
+
"k_proj"
|
| 39 |
+
],
|
| 40 |
+
"target_parameters": null,
|
| 41 |
+
"task_type": "CAUSAL_LM",
|
| 42 |
+
"trainable_token_indices": null,
|
| 43 |
+
"use_dora": false,
|
| 44 |
+
"use_qalora": false,
|
| 45 |
+
"use_rslora": false
|
| 46 |
+
}
|
baby_talk_L16_a50/seed_42/checkpoint-2972/adapter_model.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:d2515d21f30afa1abce215a6e8019acc54800da53f5bc3c4775850dda77992ce
|
| 3 |
+
size 80792096
|
baby_talk_L16_a50/seed_42/checkpoint-2972/chat_template.jinja
ADDED
|
@@ -0,0 +1,54 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{%- if tools %}
|
| 2 |
+
{{- '<|im_start|>system\n' }}
|
| 3 |
+
{%- if messages[0]['role'] == 'system' %}
|
| 4 |
+
{{- messages[0]['content'] }}
|
| 5 |
+
{%- else %}
|
| 6 |
+
{{- 'You are Qwen, created by Alibaba Cloud. You are a helpful assistant.' }}
|
| 7 |
+
{%- endif %}
|
| 8 |
+
{{- "\n\n# Tools\n\nYou may call one or more functions to assist with the user query.\n\nYou are provided with function signatures within <tools></tools> XML tags:\n<tools>" }}
|
| 9 |
+
{%- for tool in tools %}
|
| 10 |
+
{{- "\n" }}
|
| 11 |
+
{{- tool | tojson }}
|
| 12 |
+
{%- endfor %}
|
| 13 |
+
{{- "\n</tools>\n\nFor each function call, return a json object with function name and arguments within <tool_call></tool_call> XML tags:\n<tool_call>\n{\"name\": <function-name>, \"arguments\": <args-json-object>}\n</tool_call><|im_end|>\n" }}
|
| 14 |
+
{%- else %}
|
| 15 |
+
{%- if messages[0]['role'] == 'system' %}
|
| 16 |
+
{{- '<|im_start|>system\n' + messages[0]['content'] + '<|im_end|>\n' }}
|
| 17 |
+
{%- else %}
|
| 18 |
+
{{- '<|im_start|>system\nYou are Qwen, created by Alibaba Cloud. You are a helpful assistant.<|im_end|>\n' }}
|
| 19 |
+
{%- endif %}
|
| 20 |
+
{%- endif %}
|
| 21 |
+
{%- for message in messages %}
|
| 22 |
+
{%- if (message.role == "user") or (message.role == "system" and not loop.first) or (message.role == "assistant" and not message.tool_calls) %}
|
| 23 |
+
{{- '<|im_start|>' + message.role + '\n' + message.content + '<|im_end|>' + '\n' }}
|
| 24 |
+
{%- elif message.role == "assistant" %}
|
| 25 |
+
{{- '<|im_start|>' + message.role }}
|
| 26 |
+
{%- if message.content %}
|
| 27 |
+
{{- '\n' + message.content }}
|
| 28 |
+
{%- endif %}
|
| 29 |
+
{%- for tool_call in message.tool_calls %}
|
| 30 |
+
{%- if tool_call.function is defined %}
|
| 31 |
+
{%- set tool_call = tool_call.function %}
|
| 32 |
+
{%- endif %}
|
| 33 |
+
{{- '\n<tool_call>\n{"name": "' }}
|
| 34 |
+
{{- tool_call.name }}
|
| 35 |
+
{{- '", "arguments": ' }}
|
| 36 |
+
{{- tool_call.arguments | tojson }}
|
| 37 |
+
{{- '}\n</tool_call>' }}
|
| 38 |
+
{%- endfor %}
|
| 39 |
+
{{- '<|im_end|>\n' }}
|
| 40 |
+
{%- elif message.role == "tool" %}
|
| 41 |
+
{%- if (loop.index0 == 0) or (messages[loop.index0 - 1].role != "tool") %}
|
| 42 |
+
{{- '<|im_start|>user' }}
|
| 43 |
+
{%- endif %}
|
| 44 |
+
{{- '\n<tool_response>\n' }}
|
| 45 |
+
{{- message.content }}
|
| 46 |
+
{{- '\n</tool_response>' }}
|
| 47 |
+
{%- if loop.last or (messages[loop.index0 + 1].role != "tool") %}
|
| 48 |
+
{{- '<|im_end|>\n' }}
|
| 49 |
+
{%- endif %}
|
| 50 |
+
{%- endif %}
|
| 51 |
+
{%- endfor %}
|
| 52 |
+
{%- if add_generation_prompt %}
|
| 53 |
+
{{- '<|im_start|>assistant\n' }}
|
| 54 |
+
{%- endif %}
|
baby_talk_L16_a50/seed_42/checkpoint-2972/tokenizer.json
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:3fd169731d2cbde95e10bf356d66d5997fd885dd8dbb6fb4684da3f23b2585d8
|
| 3 |
+
size 11421892
|
baby_talk_L16_a50/seed_42/checkpoint-2972/tokenizer_config.json
ADDED
|
@@ -0,0 +1,29 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"add_prefix_space": false,
|
| 3 |
+
"backend": "tokenizers",
|
| 4 |
+
"bos_token": null,
|
| 5 |
+
"clean_up_tokenization_spaces": false,
|
| 6 |
+
"eos_token": "<|im_end|>",
|
| 7 |
+
"errors": "replace",
|
| 8 |
+
"extra_special_tokens": [
|
| 9 |
+
"<|im_start|>",
|
| 10 |
+
"<|im_end|>",
|
| 11 |
+
"<|object_ref_start|>",
|
| 12 |
+
"<|object_ref_end|>",
|
| 13 |
+
"<|box_start|>",
|
| 14 |
+
"<|box_end|>",
|
| 15 |
+
"<|quad_start|>",
|
| 16 |
+
"<|quad_end|>",
|
| 17 |
+
"<|vision_start|>",
|
| 18 |
+
"<|vision_end|>",
|
| 19 |
+
"<|vision_pad|>",
|
| 20 |
+
"<|image_pad|>",
|
| 21 |
+
"<|video_pad|>"
|
| 22 |
+
],
|
| 23 |
+
"is_local": false,
|
| 24 |
+
"model_max_length": 131072,
|
| 25 |
+
"pad_token": "<|endoftext|>",
|
| 26 |
+
"split_special_tokens": false,
|
| 27 |
+
"tokenizer_class": "Qwen2Tokenizer",
|
| 28 |
+
"unk_token": null
|
| 29 |
+
}
|
baby_talk_L16_a50/seed_42/checkpoint-2972/trainer_state.json
ADDED
|
@@ -0,0 +1,3048 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"best_global_step": null,
|
| 3 |
+
"best_metric": null,
|
| 4 |
+
"best_model_checkpoint": null,
|
| 5 |
+
"epoch": 4.0,
|
| 6 |
+
"eval_steps": 500,
|
| 7 |
+
"global_step": 2972,
|
| 8 |
+
"is_hyper_param_search": false,
|
| 9 |
+
"is_local_process_zero": true,
|
| 10 |
+
"is_world_process_zero": true,
|
| 11 |
+
"log_history": [
|
| 12 |
+
{
|
| 13 |
+
"entropy": 1.2358420491218567,
|
| 14 |
+
"epoch": 0.013458950201884253,
|
| 15 |
+
"grad_norm": 3.2940118312835693,
|
| 16 |
+
"learning_rate": 2.4193548387096776e-06,
|
| 17 |
+
"loss": 0.550364351272583,
|
| 18 |
+
"mean_token_accuracy": 0.8554959416389465,
|
| 19 |
+
"num_tokens": 188811.0,
|
| 20 |
+
"step": 10
|
| 21 |
+
},
|
| 22 |
+
{
|
| 23 |
+
"entropy": 1.2353882431983947,
|
| 24 |
+
"epoch": 0.026917900403768506,
|
| 25 |
+
"grad_norm": 3.4476470947265625,
|
| 26 |
+
"learning_rate": 5.1075268817204305e-06,
|
| 27 |
+
"loss": 0.5143545627593994,
|
| 28 |
+
"mean_token_accuracy": 0.8613634884357453,
|
| 29 |
+
"num_tokens": 377729.0,
|
| 30 |
+
"step": 20
|
| 31 |
+
},
|
| 32 |
+
{
|
| 33 |
+
"entropy": 1.2403772234916688,
|
| 34 |
+
"epoch": 0.040376850605652756,
|
| 35 |
+
"grad_norm": 2.2756996154785156,
|
| 36 |
+
"learning_rate": 7.795698924731183e-06,
|
| 37 |
+
"loss": 0.3996511220932007,
|
| 38 |
+
"mean_token_accuracy": 0.8753438770771027,
|
| 39 |
+
"num_tokens": 566562.0,
|
| 40 |
+
"step": 30
|
| 41 |
+
},
|
| 42 |
+
{
|
| 43 |
+
"entropy": 1.2205921411514282,
|
| 44 |
+
"epoch": 0.05383580080753701,
|
| 45 |
+
"grad_norm": 1.2432096004486084,
|
| 46 |
+
"learning_rate": 1.0483870967741936e-05,
|
| 47 |
+
"loss": 0.2568032264709473,
|
| 48 |
+
"mean_token_accuracy": 0.9130991995334625,
|
| 49 |
+
"num_tokens": 755026.0,
|
| 50 |
+
"step": 40
|
| 51 |
+
},
|
| 52 |
+
{
|
| 53 |
+
"entropy": 1.221834623813629,
|
| 54 |
+
"epoch": 0.06729475100942127,
|
| 55 |
+
"grad_norm": 0.8531327843666077,
|
| 56 |
+
"learning_rate": 1.3172043010752688e-05,
|
| 57 |
+
"loss": 0.20193097591400147,
|
| 58 |
+
"mean_token_accuracy": 0.9274256646633148,
|
| 59 |
+
"num_tokens": 943494.0,
|
| 60 |
+
"step": 50
|
| 61 |
+
},
|
| 62 |
+
{
|
| 63 |
+
"entropy": 1.2245031952857972,
|
| 64 |
+
"epoch": 0.08075370121130551,
|
| 65 |
+
"grad_norm": 0.5026484131813049,
|
| 66 |
+
"learning_rate": 1.586021505376344e-05,
|
| 67 |
+
"loss": 0.171803081035614,
|
| 68 |
+
"mean_token_accuracy": 0.9363821744918823,
|
| 69 |
+
"num_tokens": 1131731.0,
|
| 70 |
+
"step": 60
|
| 71 |
+
},
|
| 72 |
+
{
|
| 73 |
+
"entropy": 1.2192703008651733,
|
| 74 |
+
"epoch": 0.09421265141318977,
|
| 75 |
+
"grad_norm": 0.5228630304336548,
|
| 76 |
+
"learning_rate": 1.8548387096774193e-05,
|
| 77 |
+
"loss": 0.15698516368865967,
|
| 78 |
+
"mean_token_accuracy": 0.9423282980918884,
|
| 79 |
+
"num_tokens": 1320258.0,
|
| 80 |
+
"step": 70
|
| 81 |
+
},
|
| 82 |
+
{
|
| 83 |
+
"entropy": 1.2153660774230957,
|
| 84 |
+
"epoch": 0.10767160161507403,
|
| 85 |
+
"grad_norm": 0.3650094270706177,
|
| 86 |
+
"learning_rate": 2.1236559139784946e-05,
|
| 87 |
+
"loss": 0.14900912046432496,
|
| 88 |
+
"mean_token_accuracy": 0.9437524616718292,
|
| 89 |
+
"num_tokens": 1509209.0,
|
| 90 |
+
"step": 80
|
| 91 |
+
},
|
| 92 |
+
{
|
| 93 |
+
"entropy": 1.2123230814933776,
|
| 94 |
+
"epoch": 0.12113055181695828,
|
| 95 |
+
"grad_norm": 0.45723631978034973,
|
| 96 |
+
"learning_rate": 2.39247311827957e-05,
|
| 97 |
+
"loss": 0.1399540901184082,
|
| 98 |
+
"mean_token_accuracy": 0.9474983811378479,
|
| 99 |
+
"num_tokens": 1698139.0,
|
| 100 |
+
"step": 90
|
| 101 |
+
},
|
| 102 |
+
{
|
| 103 |
+
"entropy": 1.208789598941803,
|
| 104 |
+
"epoch": 0.13458950201884254,
|
| 105 |
+
"grad_norm": 0.4575304687023163,
|
| 106 |
+
"learning_rate": 2.661290322580645e-05,
|
| 107 |
+
"loss": 0.12566736936569214,
|
| 108 |
+
"mean_token_accuracy": 0.9529488801956176,
|
| 109 |
+
"num_tokens": 1886384.0,
|
| 110 |
+
"step": 100
|
| 111 |
+
},
|
| 112 |
+
{
|
| 113 |
+
"entropy": 1.205567193031311,
|
| 114 |
+
"epoch": 0.1480484522207268,
|
| 115 |
+
"grad_norm": 0.8033406734466553,
|
| 116 |
+
"learning_rate": 2.9301075268817207e-05,
|
| 117 |
+
"loss": 0.12005312442779541,
|
| 118 |
+
"mean_token_accuracy": 0.9533569395542145,
|
| 119 |
+
"num_tokens": 2074919.0,
|
| 120 |
+
"step": 110
|
| 121 |
+
},
|
| 122 |
+
{
|
| 123 |
+
"entropy": 1.20180287361145,
|
| 124 |
+
"epoch": 0.16150740242261102,
|
| 125 |
+
"grad_norm": 0.6989286541938782,
|
| 126 |
+
"learning_rate": 3.198924731182796e-05,
|
| 127 |
+
"loss": 0.11197478771209717,
|
| 128 |
+
"mean_token_accuracy": 0.9572584748268127,
|
| 129 |
+
"num_tokens": 2263116.0,
|
| 130 |
+
"step": 120
|
| 131 |
+
},
|
| 132 |
+
{
|
| 133 |
+
"entropy": 1.202919363975525,
|
| 134 |
+
"epoch": 0.17496635262449528,
|
| 135 |
+
"grad_norm": 0.7233495116233826,
|
| 136 |
+
"learning_rate": 3.467741935483872e-05,
|
| 137 |
+
"loss": 0.11106340885162354,
|
| 138 |
+
"mean_token_accuracy": 0.9569663584232331,
|
| 139 |
+
"num_tokens": 2451273.0,
|
| 140 |
+
"step": 130
|
| 141 |
+
},
|
| 142 |
+
{
|
| 143 |
+
"entropy": 1.1907272219657898,
|
| 144 |
+
"epoch": 0.18842530282637954,
|
| 145 |
+
"grad_norm": 0.7645091414451599,
|
| 146 |
+
"learning_rate": 3.736559139784947e-05,
|
| 147 |
+
"loss": 0.10956189632415772,
|
| 148 |
+
"mean_token_accuracy": 0.95842245221138,
|
| 149 |
+
"num_tokens": 2640657.0,
|
| 150 |
+
"step": 140
|
| 151 |
+
},
|
| 152 |
+
{
|
| 153 |
+
"entropy": 1.1895484924316406,
|
| 154 |
+
"epoch": 0.2018842530282638,
|
| 155 |
+
"grad_norm": 0.841379702091217,
|
| 156 |
+
"learning_rate": 4.005376344086022e-05,
|
| 157 |
+
"loss": 0.10442907810211181,
|
| 158 |
+
"mean_token_accuracy": 0.9603263795375824,
|
| 159 |
+
"num_tokens": 2829351.0,
|
| 160 |
+
"step": 150
|
| 161 |
+
},
|
| 162 |
+
{
|
| 163 |
+
"entropy": 1.1871973633766175,
|
| 164 |
+
"epoch": 0.21534320323014805,
|
| 165 |
+
"grad_norm": 0.8552286624908447,
|
| 166 |
+
"learning_rate": 4.2741935483870973e-05,
|
| 167 |
+
"loss": 0.10493810176849365,
|
| 168 |
+
"mean_token_accuracy": 0.9597454965114594,
|
| 169 |
+
"num_tokens": 3018290.0,
|
| 170 |
+
"step": 160
|
| 171 |
+
},
|
| 172 |
+
{
|
| 173 |
+
"entropy": 1.1907334923744202,
|
| 174 |
+
"epoch": 0.2288021534320323,
|
| 175 |
+
"grad_norm": 0.7243770360946655,
|
| 176 |
+
"learning_rate": 4.543010752688172e-05,
|
| 177 |
+
"loss": 0.10288643836975098,
|
| 178 |
+
"mean_token_accuracy": 0.9603340923786163,
|
| 179 |
+
"num_tokens": 3206538.0,
|
| 180 |
+
"step": 170
|
| 181 |
+
},
|
| 182 |
+
{
|
| 183 |
+
"entropy": 1.1835299730300903,
|
| 184 |
+
"epoch": 0.24226110363391656,
|
| 185 |
+
"grad_norm": 0.8118091225624084,
|
| 186 |
+
"learning_rate": 4.811827956989248e-05,
|
| 187 |
+
"loss": 0.09798368811607361,
|
| 188 |
+
"mean_token_accuracy": 0.9619723737239838,
|
| 189 |
+
"num_tokens": 3395374.0,
|
| 190 |
+
"step": 180
|
| 191 |
+
},
|
| 192 |
+
{
|
| 193 |
+
"entropy": 1.1794602513313293,
|
| 194 |
+
"epoch": 0.2557200538358008,
|
| 195 |
+
"grad_norm": 0.7447699904441833,
|
| 196 |
+
"learning_rate": 5.080645161290323e-05,
|
| 197 |
+
"loss": 0.09498158693313599,
|
| 198 |
+
"mean_token_accuracy": 0.9634931206703186,
|
| 199 |
+
"num_tokens": 3584273.0,
|
| 200 |
+
"step": 190
|
| 201 |
+
},
|
| 202 |
+
{
|
| 203 |
+
"entropy": 1.1834724426269532,
|
| 204 |
+
"epoch": 0.2691790040376851,
|
| 205 |
+
"grad_norm": 1.4059171676635742,
|
| 206 |
+
"learning_rate": 5.349462365591398e-05,
|
| 207 |
+
"loss": 0.09400172233581543,
|
| 208 |
+
"mean_token_accuracy": 0.9630160868167877,
|
| 209 |
+
"num_tokens": 3772857.0,
|
| 210 |
+
"step": 200
|
| 211 |
+
},
|
| 212 |
+
{
|
| 213 |
+
"entropy": 1.186821174621582,
|
| 214 |
+
"epoch": 0.28263795423956933,
|
| 215 |
+
"grad_norm": 0.8273025751113892,
|
| 216 |
+
"learning_rate": 5.618279569892473e-05,
|
| 217 |
+
"loss": 0.09464811086654663,
|
| 218 |
+
"mean_token_accuracy": 0.9631786167621612,
|
| 219 |
+
"num_tokens": 3960877.0,
|
| 220 |
+
"step": 210
|
| 221 |
+
},
|
| 222 |
+
{
|
| 223 |
+
"entropy": 1.1769920349121095,
|
| 224 |
+
"epoch": 0.2960969044414536,
|
| 225 |
+
"grad_norm": 1.0182609558105469,
|
| 226 |
+
"learning_rate": 5.887096774193549e-05,
|
| 227 |
+
"loss": 0.0914128303527832,
|
| 228 |
+
"mean_token_accuracy": 0.9644896507263183,
|
| 229 |
+
"num_tokens": 4149444.0,
|
| 230 |
+
"step": 220
|
| 231 |
+
},
|
| 232 |
+
{
|
| 233 |
+
"entropy": 1.1719188809394836,
|
| 234 |
+
"epoch": 0.30955585464333785,
|
| 235 |
+
"grad_norm": 0.9648745656013489,
|
| 236 |
+
"learning_rate": 6.155913978494624e-05,
|
| 237 |
+
"loss": 0.0920255422592163,
|
| 238 |
+
"mean_token_accuracy": 0.963964831829071,
|
| 239 |
+
"num_tokens": 4337989.0,
|
| 240 |
+
"step": 230
|
| 241 |
+
},
|
| 242 |
+
{
|
| 243 |
+
"entropy": 1.1559369206428527,
|
| 244 |
+
"epoch": 0.32301480484522205,
|
| 245 |
+
"grad_norm": 0.853049635887146,
|
| 246 |
+
"learning_rate": 6.4247311827957e-05,
|
| 247 |
+
"loss": 0.0891042947769165,
|
| 248 |
+
"mean_token_accuracy": 0.9653984010219574,
|
| 249 |
+
"num_tokens": 4527256.0,
|
| 250 |
+
"step": 240
|
| 251 |
+
},
|
| 252 |
+
{
|
| 253 |
+
"entropy": 1.1604587316513062,
|
| 254 |
+
"epoch": 0.3364737550471063,
|
| 255 |
+
"grad_norm": 0.873772144317627,
|
| 256 |
+
"learning_rate": 6.693548387096774e-05,
|
| 257 |
+
"loss": 0.09071275591850281,
|
| 258 |
+
"mean_token_accuracy": 0.9651397407054901,
|
| 259 |
+
"num_tokens": 4715878.0,
|
| 260 |
+
"step": 250
|
| 261 |
+
},
|
| 262 |
+
{
|
| 263 |
+
"entropy": 1.1534931778907775,
|
| 264 |
+
"epoch": 0.34993270524899056,
|
| 265 |
+
"grad_norm": 1.087850570678711,
|
| 266 |
+
"learning_rate": 6.962365591397851e-05,
|
| 267 |
+
"loss": 0.08719289302825928,
|
| 268 |
+
"mean_token_accuracy": 0.9658753871917725,
|
| 269 |
+
"num_tokens": 4904527.0,
|
| 270 |
+
"step": 260
|
| 271 |
+
},
|
| 272 |
+
{
|
| 273 |
+
"entropy": 1.1629684448242188,
|
| 274 |
+
"epoch": 0.3633916554508748,
|
| 275 |
+
"grad_norm": 0.9014195799827576,
|
| 276 |
+
"learning_rate": 7.231182795698926e-05,
|
| 277 |
+
"loss": 0.08716133236885071,
|
| 278 |
+
"mean_token_accuracy": 0.965560519695282,
|
| 279 |
+
"num_tokens": 5093554.0,
|
| 280 |
+
"step": 270
|
| 281 |
+
},
|
| 282 |
+
{
|
| 283 |
+
"entropy": 1.148916518688202,
|
| 284 |
+
"epoch": 0.3768506056527591,
|
| 285 |
+
"grad_norm": 0.9712215662002563,
|
| 286 |
+
"learning_rate": 7.500000000000001e-05,
|
| 287 |
+
"loss": 0.08668915033340455,
|
| 288 |
+
"mean_token_accuracy": 0.9658140063285827,
|
| 289 |
+
"num_tokens": 5282224.0,
|
| 290 |
+
"step": 280
|
| 291 |
+
},
|
| 292 |
+
{
|
| 293 |
+
"entropy": 1.1493291974067688,
|
| 294 |
+
"epoch": 0.39030955585464333,
|
| 295 |
+
"grad_norm": 0.9085242748260498,
|
| 296 |
+
"learning_rate": 7.768817204301076e-05,
|
| 297 |
+
"loss": 0.08189771175384522,
|
| 298 |
+
"mean_token_accuracy": 0.9670268416404724,
|
| 299 |
+
"num_tokens": 5471308.0,
|
| 300 |
+
"step": 290
|
| 301 |
+
},
|
| 302 |
+
{
|
| 303 |
+
"entropy": 1.1406704187393188,
|
| 304 |
+
"epoch": 0.4037685060565276,
|
| 305 |
+
"grad_norm": 1.128177285194397,
|
| 306 |
+
"learning_rate": 8.037634408602151e-05,
|
| 307 |
+
"loss": 0.08119879961013794,
|
| 308 |
+
"mean_token_accuracy": 0.9675639867782593,
|
| 309 |
+
"num_tokens": 5660026.0,
|
| 310 |
+
"step": 300
|
| 311 |
+
},
|
| 312 |
+
{
|
| 313 |
+
"entropy": 1.1369357347488402,
|
| 314 |
+
"epoch": 0.41722745625841184,
|
| 315 |
+
"grad_norm": 0.8224227428436279,
|
| 316 |
+
"learning_rate": 8.306451612903227e-05,
|
| 317 |
+
"loss": 0.07979745864868164,
|
| 318 |
+
"mean_token_accuracy": 0.9681445300579071,
|
| 319 |
+
"num_tokens": 5848073.0,
|
| 320 |
+
"step": 310
|
| 321 |
+
},
|
| 322 |
+
{
|
| 323 |
+
"entropy": 1.1252583503723144,
|
| 324 |
+
"epoch": 0.4306864064602961,
|
| 325 |
+
"grad_norm": 0.7711160182952881,
|
| 326 |
+
"learning_rate": 8.575268817204302e-05,
|
| 327 |
+
"loss": 0.0783164381980896,
|
| 328 |
+
"mean_token_accuracy": 0.9686201930046081,
|
| 329 |
+
"num_tokens": 6036717.0,
|
| 330 |
+
"step": 320
|
| 331 |
+
},
|
| 332 |
+
{
|
| 333 |
+
"entropy": 1.1203404307365417,
|
| 334 |
+
"epoch": 0.44414535666218036,
|
| 335 |
+
"grad_norm": 1.1810287237167358,
|
| 336 |
+
"learning_rate": 8.844086021505377e-05,
|
| 337 |
+
"loss": 0.08139073848724365,
|
| 338 |
+
"mean_token_accuracy": 0.9681365489959717,
|
| 339 |
+
"num_tokens": 6225223.0,
|
| 340 |
+
"step": 330
|
| 341 |
+
},
|
| 342 |
+
{
|
| 343 |
+
"entropy": 1.1222687840461731,
|
| 344 |
+
"epoch": 0.4576043068640646,
|
| 345 |
+
"grad_norm": 1.4551713466644287,
|
| 346 |
+
"learning_rate": 9.112903225806452e-05,
|
| 347 |
+
"loss": 0.0820135235786438,
|
| 348 |
+
"mean_token_accuracy": 0.9672703862190246,
|
| 349 |
+
"num_tokens": 6413936.0,
|
| 350 |
+
"step": 340
|
| 351 |
+
},
|
| 352 |
+
{
|
| 353 |
+
"entropy": 1.1156280279159545,
|
| 354 |
+
"epoch": 0.47106325706594887,
|
| 355 |
+
"grad_norm": 0.8573716878890991,
|
| 356 |
+
"learning_rate": 9.381720430107528e-05,
|
| 357 |
+
"loss": 0.08074904680252075,
|
| 358 |
+
"mean_token_accuracy": 0.9677663922309876,
|
| 359 |
+
"num_tokens": 6602413.0,
|
| 360 |
+
"step": 350
|
| 361 |
+
},
|
| 362 |
+
{
|
| 363 |
+
"entropy": 1.1063185572624206,
|
| 364 |
+
"epoch": 0.4845222072678331,
|
| 365 |
+
"grad_norm": 0.7709434628486633,
|
| 366 |
+
"learning_rate": 9.650537634408603e-05,
|
| 367 |
+
"loss": 0.07549421787261963,
|
| 368 |
+
"mean_token_accuracy": 0.9689356207847595,
|
| 369 |
+
"num_tokens": 6790873.0,
|
| 370 |
+
"step": 360
|
| 371 |
+
},
|
| 372 |
+
{
|
| 373 |
+
"entropy": 1.0962031960487366,
|
| 374 |
+
"epoch": 0.4979811574697174,
|
| 375 |
+
"grad_norm": 0.7843625545501709,
|
| 376 |
+
"learning_rate": 9.919354838709678e-05,
|
| 377 |
+
"loss": 0.07368478775024415,
|
| 378 |
+
"mean_token_accuracy": 0.9700294613838196,
|
| 379 |
+
"num_tokens": 6979392.0,
|
| 380 |
+
"step": 370
|
| 381 |
+
},
|
| 382 |
+
{
|
| 383 |
+
"entropy": 1.1028530240058898,
|
| 384 |
+
"epoch": 0.5114401076716016,
|
| 385 |
+
"grad_norm": 0.7935485243797302,
|
| 386 |
+
"learning_rate": 9.999975729865971e-05,
|
| 387 |
+
"loss": 0.07766538262367248,
|
| 388 |
+
"mean_token_accuracy": 0.9704003691673279,
|
| 389 |
+
"num_tokens": 7167482.0,
|
| 390 |
+
"step": 380
|
| 391 |
+
},
|
| 392 |
+
{
|
| 393 |
+
"entropy": 1.0905393958091736,
|
| 394 |
+
"epoch": 0.5248990578734859,
|
| 395 |
+
"grad_norm": 1.4108924865722656,
|
| 396 |
+
"learning_rate": 9.999856856307314e-05,
|
| 397 |
+
"loss": 0.0760004162788391,
|
| 398 |
+
"mean_token_accuracy": 0.9699020266532898,
|
| 399 |
+
"num_tokens": 7355994.0,
|
| 400 |
+
"step": 390
|
| 401 |
+
},
|
| 402 |
+
{
|
| 403 |
+
"entropy": 1.0853531122207642,
|
| 404 |
+
"epoch": 0.5383580080753702,
|
| 405 |
+
"grad_norm": 0.9043511152267456,
|
| 406 |
+
"learning_rate": 9.999638923896533e-05,
|
| 407 |
+
"loss": 0.0720310389995575,
|
| 408 |
+
"mean_token_accuracy": 0.9707890212535858,
|
| 409 |
+
"num_tokens": 7544655.0,
|
| 410 |
+
"step": 400
|
| 411 |
+
},
|
| 412 |
+
{
|
| 413 |
+
"entropy": 1.075773572921753,
|
| 414 |
+
"epoch": 0.5518169582772544,
|
| 415 |
+
"grad_norm": 0.9038823246955872,
|
| 416 |
+
"learning_rate": 9.999321936951374e-05,
|
| 417 |
+
"loss": 0.07026209831237792,
|
| 418 |
+
"mean_token_accuracy": 0.9715417385101318,
|
| 419 |
+
"num_tokens": 7733348.0,
|
| 420 |
+
"step": 410
|
| 421 |
+
},
|
| 422 |
+
{
|
| 423 |
+
"entropy": 1.0572428584098816,
|
| 424 |
+
"epoch": 0.5652759084791387,
|
| 425 |
+
"grad_norm": 0.8231707811355591,
|
| 426 |
+
"learning_rate": 9.998905901752091e-05,
|
| 427 |
+
"loss": 0.07141299843788147,
|
| 428 |
+
"mean_token_accuracy": 0.9705908715724945,
|
| 429 |
+
"num_tokens": 7921582.0,
|
| 430 |
+
"step": 420
|
| 431 |
+
},
|
| 432 |
+
{
|
| 433 |
+
"entropy": 1.051485300064087,
|
| 434 |
+
"epoch": 0.5787348586810229,
|
| 435 |
+
"grad_norm": 1.1695454120635986,
|
| 436 |
+
"learning_rate": 9.998390826541315e-05,
|
| 437 |
+
"loss": 0.07321611642837525,
|
| 438 |
+
"mean_token_accuracy": 0.9709623396396637,
|
| 439 |
+
"num_tokens": 8110266.0,
|
| 440 |
+
"step": 430
|
| 441 |
+
},
|
| 442 |
+
{
|
| 443 |
+
"entropy": 1.0485445380210876,
|
| 444 |
+
"epoch": 0.5921938088829072,
|
| 445 |
+
"grad_norm": 0.7291010618209839,
|
| 446 |
+
"learning_rate": 9.997776721523888e-05,
|
| 447 |
+
"loss": 0.07221676707267762,
|
| 448 |
+
"mean_token_accuracy": 0.9705081820487976,
|
| 449 |
+
"num_tokens": 8298932.0,
|
| 450 |
+
"step": 440
|
| 451 |
+
},
|
| 452 |
+
{
|
| 453 |
+
"entropy": 1.0456495046615601,
|
| 454 |
+
"epoch": 0.6056527590847914,
|
| 455 |
+
"grad_norm": 0.6550094485282898,
|
| 456 |
+
"learning_rate": 9.99706359886667e-05,
|
| 457 |
+
"loss": 0.06878133416175843,
|
| 458 |
+
"mean_token_accuracy": 0.9728739261627197,
|
| 459 |
+
"num_tokens": 8487613.0,
|
| 460 |
+
"step": 450
|
| 461 |
+
},
|
| 462 |
+
{
|
| 463 |
+
"entropy": 1.0372861266136169,
|
| 464 |
+
"epoch": 0.6191117092866757,
|
| 465 |
+
"grad_norm": 0.5825450420379639,
|
| 466 |
+
"learning_rate": 9.996251472698281e-05,
|
| 467 |
+
"loss": 0.06706151366233826,
|
| 468 |
+
"mean_token_accuracy": 0.9732721030712128,
|
| 469 |
+
"num_tokens": 8676276.0,
|
| 470 |
+
"step": 460
|
| 471 |
+
},
|
| 472 |
+
{
|
| 473 |
+
"entropy": 1.0319493532180786,
|
| 474 |
+
"epoch": 0.6325706594885598,
|
| 475 |
+
"grad_norm": 0.7158534526824951,
|
| 476 |
+
"learning_rate": 9.995340359108844e-05,
|
| 477 |
+
"loss": 0.06999597549438477,
|
| 478 |
+
"mean_token_accuracy": 0.9726741492748261,
|
| 479 |
+
"num_tokens": 8864738.0,
|
| 480 |
+
"step": 470
|
| 481 |
+
},
|
| 482 |
+
{
|
| 483 |
+
"entropy": 1.0260030388832093,
|
| 484 |
+
"epoch": 0.6460296096904441,
|
| 485 |
+
"grad_norm": 0.7918373346328735,
|
| 486 |
+
"learning_rate": 9.994330276149649e-05,
|
| 487 |
+
"loss": 0.06949877142906188,
|
| 488 |
+
"mean_token_accuracy": 0.9725882947444916,
|
| 489 |
+
"num_tokens": 9053582.0,
|
| 490 |
+
"step": 480
|
| 491 |
+
},
|
| 492 |
+
{
|
| 493 |
+
"entropy": 1.0258127093315124,
|
| 494 |
+
"epoch": 0.6594885598923284,
|
| 495 |
+
"grad_norm": 0.893281102180481,
|
| 496 |
+
"learning_rate": 9.993221243832797e-05,
|
| 497 |
+
"loss": 0.06893026828765869,
|
| 498 |
+
"mean_token_accuracy": 0.9729171216487884,
|
| 499 |
+
"num_tokens": 9241914.0,
|
| 500 |
+
"step": 490
|
| 501 |
+
},
|
| 502 |
+
{
|
| 503 |
+
"entropy": 1.0261828184127808,
|
| 504 |
+
"epoch": 0.6729475100942126,
|
| 505 |
+
"grad_norm": 1.0127108097076416,
|
| 506 |
+
"learning_rate": 9.992013284130816e-05,
|
| 507 |
+
"loss": 0.07094801664352417,
|
| 508 |
+
"mean_token_accuracy": 0.9714575052261353,
|
| 509 |
+
"num_tokens": 9430981.0,
|
| 510 |
+
"step": 500
|
| 511 |
+
},
|
| 512 |
+
{
|
| 513 |
+
"entropy": 1.0274562597274781,
|
| 514 |
+
"epoch": 0.6864064602960969,
|
| 515 |
+
"grad_norm": 0.7148029208183289,
|
| 516 |
+
"learning_rate": 9.990706420976206e-05,
|
| 517 |
+
"loss": 0.06826171875,
|
| 518 |
+
"mean_token_accuracy": 0.9727248430252076,
|
| 519 |
+
"num_tokens": 9619472.0,
|
| 520 |
+
"step": 510
|
| 521 |
+
},
|
| 522 |
+
{
|
| 523 |
+
"entropy": 1.0137859225273131,
|
| 524 |
+
"epoch": 0.6998654104979811,
|
| 525 |
+
"grad_norm": 0.9228634238243103,
|
| 526 |
+
"learning_rate": 9.989300680260985e-05,
|
| 527 |
+
"loss": 0.06890587210655212,
|
| 528 |
+
"mean_token_accuracy": 0.9723304331302642,
|
| 529 |
+
"num_tokens": 9808123.0,
|
| 530 |
+
"step": 520
|
| 531 |
+
},
|
| 532 |
+
{
|
| 533 |
+
"entropy": 1.0221150755882262,
|
| 534 |
+
"epoch": 0.7133243606998654,
|
| 535 |
+
"grad_norm": 0.971530556678772,
|
| 536 |
+
"learning_rate": 9.98779608983616e-05,
|
| 537 |
+
"loss": 0.07073599100112915,
|
| 538 |
+
"mean_token_accuracy": 0.9714174270629883,
|
| 539 |
+
"num_tokens": 9996601.0,
|
| 540 |
+
"step": 530
|
| 541 |
+
},
|
| 542 |
+
{
|
| 543 |
+
"entropy": 1.0248154640197753,
|
| 544 |
+
"epoch": 0.7267833109017496,
|
| 545 |
+
"grad_norm": 0.7336317896842957,
|
| 546 |
+
"learning_rate": 9.986192679511189e-05,
|
| 547 |
+
"loss": 0.06874136924743653,
|
| 548 |
+
"mean_token_accuracy": 0.9723432004451752,
|
| 549 |
+
"num_tokens": 10184725.0,
|
| 550 |
+
"step": 540
|
| 551 |
+
},
|
| 552 |
+
{
|
| 553 |
+
"entropy": 1.0120978832244873,
|
| 554 |
+
"epoch": 0.7402422611036339,
|
| 555 |
+
"grad_norm": 1.2100600004196167,
|
| 556 |
+
"learning_rate": 9.984490481053372e-05,
|
| 557 |
+
"loss": 0.06270487308502197,
|
| 558 |
+
"mean_token_accuracy": 0.9756880521774292,
|
| 559 |
+
"num_tokens": 10373446.0,
|
| 560 |
+
"step": 550
|
| 561 |
+
},
|
| 562 |
+
{
|
| 563 |
+
"entropy": 1.0172406077384948,
|
| 564 |
+
"epoch": 0.7537012113055181,
|
| 565 |
+
"grad_norm": 0.7562853693962097,
|
| 566 |
+
"learning_rate": 9.982689528187244e-05,
|
| 567 |
+
"loss": 0.06784560084342957,
|
| 568 |
+
"mean_token_accuracy": 0.9724333345890045,
|
| 569 |
+
"num_tokens": 10561710.0,
|
| 570 |
+
"step": 560
|
| 571 |
+
},
|
| 572 |
+
{
|
| 573 |
+
"entropy": 1.0150038957595826,
|
| 574 |
+
"epoch": 0.7671601615074024,
|
| 575 |
+
"grad_norm": 1.07966148853302,
|
| 576 |
+
"learning_rate": 9.98078985659389e-05,
|
| 577 |
+
"loss": 0.0670344054698944,
|
| 578 |
+
"mean_token_accuracy": 0.97339146733284,
|
| 579 |
+
"num_tokens": 10749917.0,
|
| 580 |
+
"step": 570
|
| 581 |
+
},
|
| 582 |
+
{
|
| 583 |
+
"entropy": 1.0135640978813172,
|
| 584 |
+
"epoch": 0.7806191117092867,
|
| 585 |
+
"grad_norm": 0.7826104164123535,
|
| 586 |
+
"learning_rate": 9.978791503910246e-05,
|
| 587 |
+
"loss": 0.0668565571308136,
|
| 588 |
+
"mean_token_accuracy": 0.9735289216041565,
|
| 589 |
+
"num_tokens": 10938098.0,
|
| 590 |
+
"step": 580
|
| 591 |
+
},
|
| 592 |
+
{
|
| 593 |
+
"entropy": 1.0077669620513916,
|
| 594 |
+
"epoch": 0.7940780619111709,
|
| 595 |
+
"grad_norm": 1.299584150314331,
|
| 596 |
+
"learning_rate": 9.97669450972835e-05,
|
| 597 |
+
"loss": 0.0728976845741272,
|
| 598 |
+
"mean_token_accuracy": 0.9701269209384918,
|
| 599 |
+
"num_tokens": 11126107.0,
|
| 600 |
+
"step": 590
|
| 601 |
+
},
|
| 602 |
+
{
|
| 603 |
+
"entropy": 0.9957692861557007,
|
| 604 |
+
"epoch": 0.8075370121130552,
|
| 605 |
+
"grad_norm": 1.1542484760284424,
|
| 606 |
+
"learning_rate": 9.974498915594557e-05,
|
| 607 |
+
"loss": 0.0631720781326294,
|
| 608 |
+
"mean_token_accuracy": 0.9747781097888947,
|
| 609 |
+
"num_tokens": 11315001.0,
|
| 610 |
+
"step": 600
|
| 611 |
+
},
|
| 612 |
+
{
|
| 613 |
+
"entropy": 0.9983992159366608,
|
| 614 |
+
"epoch": 0.8209959623149394,
|
| 615 |
+
"grad_norm": 0.6967246532440186,
|
| 616 |
+
"learning_rate": 9.97220476500872e-05,
|
| 617 |
+
"loss": 0.06333768963813782,
|
| 618 |
+
"mean_token_accuracy": 0.9750322341918946,
|
| 619 |
+
"num_tokens": 11503007.0,
|
| 620 |
+
"step": 610
|
| 621 |
+
},
|
| 622 |
+
{
|
| 623 |
+
"entropy": 0.9801111698150635,
|
| 624 |
+
"epoch": 0.8344549125168237,
|
| 625 |
+
"grad_norm": 0.945446789264679,
|
| 626 |
+
"learning_rate": 9.969812103423325e-05,
|
| 627 |
+
"loss": 0.05720087289810181,
|
| 628 |
+
"mean_token_accuracy": 0.9767442524433136,
|
| 629 |
+
"num_tokens": 11691883.0,
|
| 630 |
+
"step": 620
|
| 631 |
+
},
|
| 632 |
+
{
|
| 633 |
+
"entropy": 0.9879570543766022,
|
| 634 |
+
"epoch": 0.847913862718708,
|
| 635 |
+
"grad_norm": 0.8254193663597107,
|
| 636 |
+
"learning_rate": 9.967320978242592e-05,
|
| 637 |
+
"loss": 0.05899171829223633,
|
| 638 |
+
"mean_token_accuracy": 0.9767756819725036,
|
| 639 |
+
"num_tokens": 11880353.0,
|
| 640 |
+
"step": 630
|
| 641 |
+
},
|
| 642 |
+
{
|
| 643 |
+
"entropy": 0.9878240942955017,
|
| 644 |
+
"epoch": 0.8613728129205922,
|
| 645 |
+
"grad_norm": 0.9882538914680481,
|
| 646 |
+
"learning_rate": 9.964731438821533e-05,
|
| 647 |
+
"loss": 0.06443996429443359,
|
| 648 |
+
"mean_token_accuracy": 0.9735406100749969,
|
| 649 |
+
"num_tokens": 12069610.0,
|
| 650 |
+
"step": 640
|
| 651 |
+
},
|
| 652 |
+
{
|
| 653 |
+
"entropy": 0.9938213169574738,
|
| 654 |
+
"epoch": 0.8748317631224765,
|
| 655 |
+
"grad_norm": 1.126546859741211,
|
| 656 |
+
"learning_rate": 9.962043536464978e-05,
|
| 657 |
+
"loss": 0.06708416938781739,
|
| 658 |
+
"mean_token_accuracy": 0.9730359137058258,
|
| 659 |
+
"num_tokens": 12257901.0,
|
| 660 |
+
"step": 650
|
| 661 |
+
},
|
| 662 |
+
{
|
| 663 |
+
"entropy": 0.9800443708896637,
|
| 664 |
+
"epoch": 0.8882907133243607,
|
| 665 |
+
"grad_norm": 0.9151445031166077,
|
| 666 |
+
"learning_rate": 9.959257324426556e-05,
|
| 667 |
+
"loss": 0.06290764808654785,
|
| 668 |
+
"mean_token_accuracy": 0.9741653084754944,
|
| 669 |
+
"num_tokens": 12446236.0,
|
| 670 |
+
"step": 660
|
| 671 |
+
},
|
| 672 |
+
{
|
| 673 |
+
"entropy": 0.9744794130325317,
|
| 674 |
+
"epoch": 0.901749663526245,
|
| 675 |
+
"grad_norm": 0.9104028940200806,
|
| 676 |
+
"learning_rate": 9.95637285790764e-05,
|
| 677 |
+
"loss": 0.060464882850646974,
|
| 678 |
+
"mean_token_accuracy": 0.9757490694522858,
|
| 679 |
+
"num_tokens": 12635226.0,
|
| 680 |
+
"step": 670
|
| 681 |
+
},
|
| 682 |
+
{
|
| 683 |
+
"entropy": 0.9786687552928924,
|
| 684 |
+
"epoch": 0.9152086137281292,
|
| 685 |
+
"grad_norm": 0.7316192388534546,
|
| 686 |
+
"learning_rate": 9.953390194056258e-05,
|
| 687 |
+
"loss": 0.06054847836494446,
|
| 688 |
+
"mean_token_accuracy": 0.9760404825210571,
|
| 689 |
+
"num_tokens": 12823428.0,
|
| 690 |
+
"step": 680
|
| 691 |
+
},
|
| 692 |
+
{
|
| 693 |
+
"entropy": 0.966060334444046,
|
| 694 |
+
"epoch": 0.9286675639300135,
|
| 695 |
+
"grad_norm": 1.3535135984420776,
|
| 696 |
+
"learning_rate": 9.950309391965947e-05,
|
| 697 |
+
"loss": 0.061383575201034546,
|
| 698 |
+
"mean_token_accuracy": 0.9749173820018768,
|
| 699 |
+
"num_tokens": 13012362.0,
|
| 700 |
+
"step": 690
|
| 701 |
+
},
|
| 702 |
+
{
|
| 703 |
+
"entropy": 0.9722849190235138,
|
| 704 |
+
"epoch": 0.9421265141318977,
|
| 705 |
+
"grad_norm": 0.890771746635437,
|
| 706 |
+
"learning_rate": 9.947130512674602e-05,
|
| 707 |
+
"loss": 0.06301190257072449,
|
| 708 |
+
"mean_token_accuracy": 0.9750476598739624,
|
| 709 |
+
"num_tokens": 13200680.0,
|
| 710 |
+
"step": 700
|
| 711 |
+
},
|
| 712 |
+
{
|
| 713 |
+
"entropy": 0.9624020338058472,
|
| 714 |
+
"epoch": 0.955585464333782,
|
| 715 |
+
"grad_norm": 1.142499327659607,
|
| 716 |
+
"learning_rate": 9.943853619163255e-05,
|
| 717 |
+
"loss": 0.06179196834564209,
|
| 718 |
+
"mean_token_accuracy": 0.9751901209354401,
|
| 719 |
+
"num_tokens": 13389333.0,
|
| 720 |
+
"step": 710
|
| 721 |
+
},
|
| 722 |
+
{
|
| 723 |
+
"entropy": 0.9653747022151947,
|
| 724 |
+
"epoch": 0.9690444145356663,
|
| 725 |
+
"grad_norm": 0.8682493567466736,
|
| 726 |
+
"learning_rate": 9.94047877635482e-05,
|
| 727 |
+
"loss": 0.06113170981407166,
|
| 728 |
+
"mean_token_accuracy": 0.9748325288295746,
|
| 729 |
+
"num_tokens": 13578210.0,
|
| 730 |
+
"step": 720
|
| 731 |
+
},
|
| 732 |
+
{
|
| 733 |
+
"entropy": 0.970348197221756,
|
| 734 |
+
"epoch": 0.9825033647375505,
|
| 735 |
+
"grad_norm": 0.8351430296897888,
|
| 736 |
+
"learning_rate": 9.93700605111283e-05,
|
| 737 |
+
"loss": 0.05901788473129273,
|
| 738 |
+
"mean_token_accuracy": 0.9761226296424865,
|
| 739 |
+
"num_tokens": 13767039.0,
|
| 740 |
+
"step": 730
|
| 741 |
+
},
|
| 742 |
+
{
|
| 743 |
+
"entropy": 0.956724613904953,
|
| 744 |
+
"epoch": 0.9959623149394348,
|
| 745 |
+
"grad_norm": 1.2604819536209106,
|
| 746 |
+
"learning_rate": 9.933435512240084e-05,
|
| 747 |
+
"loss": 0.06124393343925476,
|
| 748 |
+
"mean_token_accuracy": 0.9747833967208862,
|
| 749 |
+
"num_tokens": 13956057.0,
|
| 750 |
+
"step": 740
|
| 751 |
+
},
|
| 752 |
+
{
|
| 753 |
+
"epoch": 1.0,
|
| 754 |
+
"eval_entropy": 0.9722227849018802,
|
| 755 |
+
"eval_loss": 0.0600070059299469,
|
| 756 |
+
"eval_mean_token_accuracy": 0.975752676368519,
|
| 757 |
+
"eval_num_tokens": 14012630.0,
|
| 758 |
+
"eval_runtime": 24.6215,
|
| 759 |
+
"eval_samples_per_second": 203.074,
|
| 760 |
+
"eval_steps_per_second": 6.377,
|
| 761 |
+
"step": 743
|
| 762 |
+
},
|
| 763 |
+
{
|
| 764 |
+
"entropy": 0.9689933776855468,
|
| 765 |
+
"epoch": 1.009421265141319,
|
| 766 |
+
"grad_norm": 0.9720287919044495,
|
| 767 |
+
"learning_rate": 9.929767230477305e-05,
|
| 768 |
+
"loss": 0.055563896894454956,
|
| 769 |
+
"mean_token_accuracy": 0.9779708027839661,
|
| 770 |
+
"num_tokens": 14144652.0,
|
| 771 |
+
"step": 750
|
| 772 |
+
},
|
| 773 |
+
{
|
| 774 |
+
"entropy": 0.9506655633449554,
|
| 775 |
+
"epoch": 1.0228802153432033,
|
| 776 |
+
"grad_norm": 0.6619595289230347,
|
| 777 |
+
"learning_rate": 9.92600127850173e-05,
|
| 778 |
+
"loss": 0.050587379932403566,
|
| 779 |
+
"mean_token_accuracy": 0.979685264825821,
|
| 780 |
+
"num_tokens": 14332714.0,
|
| 781 |
+
"step": 760
|
| 782 |
+
},
|
| 783 |
+
{
|
| 784 |
+
"entropy": 0.9458732306957245,
|
| 785 |
+
"epoch": 1.0363391655450875,
|
| 786 |
+
"grad_norm": 0.7905108332633972,
|
| 787 |
+
"learning_rate": 9.922137730925673e-05,
|
| 788 |
+
"loss": 0.05069155097007751,
|
| 789 |
+
"mean_token_accuracy": 0.9796596229076385,
|
| 790 |
+
"num_tokens": 14520902.0,
|
| 791 |
+
"step": 770
|
| 792 |
+
},
|
| 793 |
+
{
|
| 794 |
+
"entropy": 0.9320916712284089,
|
| 795 |
+
"epoch": 1.0497981157469718,
|
| 796 |
+
"grad_norm": 0.9210566878318787,
|
| 797 |
+
"learning_rate": 9.918176664295041e-05,
|
| 798 |
+
"loss": 0.051744121313095096,
|
| 799 |
+
"mean_token_accuracy": 0.9792148530483246,
|
| 800 |
+
"num_tokens": 14709215.0,
|
| 801 |
+
"step": 780
|
| 802 |
+
},
|
| 803 |
+
{
|
| 804 |
+
"entropy": 0.928934782743454,
|
| 805 |
+
"epoch": 1.063257065948856,
|
| 806 |
+
"grad_norm": 0.7442036867141724,
|
| 807 |
+
"learning_rate": 9.914118157087824e-05,
|
| 808 |
+
"loss": 0.0486875057220459,
|
| 809 |
+
"mean_token_accuracy": 0.9798122465610504,
|
| 810 |
+
"num_tokens": 14898242.0,
|
| 811 |
+
"step": 790
|
| 812 |
+
},
|
| 813 |
+
{
|
| 814 |
+
"entropy": 0.942881977558136,
|
| 815 |
+
"epoch": 1.0767160161507403,
|
| 816 |
+
"grad_norm": 1.0910941362380981,
|
| 817 |
+
"learning_rate": 9.909962289712538e-05,
|
| 818 |
+
"loss": 0.052297019958496095,
|
| 819 |
+
"mean_token_accuracy": 0.9793200254440307,
|
| 820 |
+
"num_tokens": 15086835.0,
|
| 821 |
+
"step": 800
|
| 822 |
+
},
|
| 823 |
+
{
|
| 824 |
+
"entropy": 0.9503917813301086,
|
| 825 |
+
"epoch": 1.0901749663526246,
|
| 826 |
+
"grad_norm": 0.8091554641723633,
|
| 827 |
+
"learning_rate": 9.905709144506629e-05,
|
| 828 |
+
"loss": 0.049927744269371035,
|
| 829 |
+
"mean_token_accuracy": 0.9802082359790802,
|
| 830 |
+
"num_tokens": 15275042.0,
|
| 831 |
+
"step": 810
|
| 832 |
+
},
|
| 833 |
+
{
|
| 834 |
+
"entropy": 0.9426830470561981,
|
| 835 |
+
"epoch": 1.1036339165545088,
|
| 836 |
+
"grad_norm": 1.0589245557785034,
|
| 837 |
+
"learning_rate": 9.901358805734846e-05,
|
| 838 |
+
"loss": 0.053803551197052005,
|
| 839 |
+
"mean_token_accuracy": 0.9785399675369263,
|
| 840 |
+
"num_tokens": 15463923.0,
|
| 841 |
+
"step": 820
|
| 842 |
+
},
|
| 843 |
+
{
|
| 844 |
+
"entropy": 0.9445010781288147,
|
| 845 |
+
"epoch": 1.117092866756393,
|
| 846 |
+
"grad_norm": 0.8410441279411316,
|
| 847 |
+
"learning_rate": 9.89691135958757e-05,
|
| 848 |
+
"loss": 0.053181976079940796,
|
| 849 |
+
"mean_token_accuracy": 0.9792523324489594,
|
| 850 |
+
"num_tokens": 15652526.0,
|
| 851 |
+
"step": 830
|
| 852 |
+
},
|
| 853 |
+
{
|
| 854 |
+
"entropy": 0.946729838848114,
|
| 855 |
+
"epoch": 1.1305518169582773,
|
| 856 |
+
"grad_norm": 0.8246080279350281,
|
| 857 |
+
"learning_rate": 9.892366894179105e-05,
|
| 858 |
+
"loss": 0.054291915893554685,
|
| 859 |
+
"mean_token_accuracy": 0.9791357696056366,
|
| 860 |
+
"num_tokens": 15841340.0,
|
| 861 |
+
"step": 840
|
| 862 |
+
},
|
| 863 |
+
{
|
| 864 |
+
"entropy": 0.9433728814125061,
|
| 865 |
+
"epoch": 1.1440107671601616,
|
| 866 |
+
"grad_norm": 0.9200296401977539,
|
| 867 |
+
"learning_rate": 9.887725499545937e-05,
|
| 868 |
+
"loss": 0.05073915719985962,
|
| 869 |
+
"mean_token_accuracy": 0.9796931505203247,
|
| 870 |
+
"num_tokens": 16029478.0,
|
| 871 |
+
"step": 850
|
| 872 |
+
},
|
| 873 |
+
{
|
| 874 |
+
"entropy": 0.9494417488574982,
|
| 875 |
+
"epoch": 1.1574697173620458,
|
| 876 |
+
"grad_norm": 0.8342758417129517,
|
| 877 |
+
"learning_rate": 9.882987267644939e-05,
|
| 878 |
+
"loss": 0.050929927825927736,
|
| 879 |
+
"mean_token_accuracy": 0.9793219089508056,
|
| 880 |
+
"num_tokens": 16218014.0,
|
| 881 |
+
"step": 860
|
| 882 |
+
},
|
| 883 |
+
{
|
| 884 |
+
"entropy": 0.9409256100654602,
|
| 885 |
+
"epoch": 1.17092866756393,
|
| 886 |
+
"grad_norm": 0.7911009192466736,
|
| 887 |
+
"learning_rate": 9.878152292351563e-05,
|
| 888 |
+
"loss": 0.049964362382888795,
|
| 889 |
+
"mean_token_accuracy": 0.9798487305641175,
|
| 890 |
+
"num_tokens": 16406420.0,
|
| 891 |
+
"step": 870
|
| 892 |
+
},
|
| 893 |
+
{
|
| 894 |
+
"entropy": 0.9429958581924438,
|
| 895 |
+
"epoch": 1.1843876177658144,
|
| 896 |
+
"grad_norm": 1.4877018928527832,
|
| 897 |
+
"learning_rate": 9.873220669457975e-05,
|
| 898 |
+
"loss": 0.04969423711299896,
|
| 899 |
+
"mean_token_accuracy": 0.9801322638988494,
|
| 900 |
+
"num_tokens": 16594948.0,
|
| 901 |
+
"step": 880
|
| 902 |
+
},
|
| 903 |
+
{
|
| 904 |
+
"entropy": 0.9542136013507843,
|
| 905 |
+
"epoch": 1.1978465679676986,
|
| 906 |
+
"grad_norm": 0.8030785918235779,
|
| 907 |
+
"learning_rate": 9.868192496671147e-05,
|
| 908 |
+
"loss": 0.04981146454811096,
|
| 909 |
+
"mean_token_accuracy": 0.9796162784099579,
|
| 910 |
+
"num_tokens": 16782983.0,
|
| 911 |
+
"step": 890
|
| 912 |
+
},
|
| 913 |
+
{
|
| 914 |
+
"entropy": 0.9367722630500793,
|
| 915 |
+
"epoch": 1.2113055181695827,
|
| 916 |
+
"grad_norm": 1.1169800758361816,
|
| 917 |
+
"learning_rate": 9.86306787361094e-05,
|
| 918 |
+
"loss": 0.05210963487625122,
|
| 919 |
+
"mean_token_accuracy": 0.9790139615535736,
|
| 920 |
+
"num_tokens": 16971394.0,
|
| 921 |
+
"step": 900
|
| 922 |
+
},
|
| 923 |
+
{
|
| 924 |
+
"entropy": 0.9487208306789399,
|
| 925 |
+
"epoch": 1.224764468371467,
|
| 926 |
+
"grad_norm": 0.8650282621383667,
|
| 927 |
+
"learning_rate": 9.857846901808117e-05,
|
| 928 |
+
"loss": 0.05012243390083313,
|
| 929 |
+
"mean_token_accuracy": 0.9805107891559601,
|
| 930 |
+
"num_tokens": 17159951.0,
|
| 931 |
+
"step": 910
|
| 932 |
+
},
|
| 933 |
+
{
|
| 934 |
+
"entropy": 0.9441231489181519,
|
| 935 |
+
"epoch": 1.2382234185733512,
|
| 936 |
+
"grad_norm": 0.8193967938423157,
|
| 937 |
+
"learning_rate": 9.852529684702329e-05,
|
| 938 |
+
"loss": 0.048866665363311766,
|
| 939 |
+
"mean_token_accuracy": 0.9807584881782532,
|
| 940 |
+
"num_tokens": 17348711.0,
|
| 941 |
+
"step": 920
|
| 942 |
+
},
|
| 943 |
+
{
|
| 944 |
+
"entropy": 0.9361630439758301,
|
| 945 |
+
"epoch": 1.2516823687752354,
|
| 946 |
+
"grad_norm": 1.3613612651824951,
|
| 947 |
+
"learning_rate": 9.847116327640082e-05,
|
| 948 |
+
"loss": 0.05324091911315918,
|
| 949 |
+
"mean_token_accuracy": 0.97904953956604,
|
| 950 |
+
"num_tokens": 17537116.0,
|
| 951 |
+
"step": 930
|
| 952 |
+
},
|
| 953 |
+
{
|
| 954 |
+
"entropy": 0.9562997639179229,
|
| 955 |
+
"epoch": 1.2651413189771197,
|
| 956 |
+
"grad_norm": 0.8121878504753113,
|
| 957 |
+
"learning_rate": 9.841606937872632e-05,
|
| 958 |
+
"loss": 0.05011019706726074,
|
| 959 |
+
"mean_token_accuracy": 0.9798731088638306,
|
| 960 |
+
"num_tokens": 17725567.0,
|
| 961 |
+
"step": 940
|
| 962 |
+
},
|
| 963 |
+
{
|
| 964 |
+
"entropy": 0.9359076261520386,
|
| 965 |
+
"epoch": 1.278600269179004,
|
| 966 |
+
"grad_norm": 0.7838549613952637,
|
| 967 |
+
"learning_rate": 9.836001624553869e-05,
|
| 968 |
+
"loss": 0.04834386110305786,
|
| 969 |
+
"mean_token_accuracy": 0.9804529249668121,
|
| 970 |
+
"num_tokens": 17914191.0,
|
| 971 |
+
"step": 950
|
| 972 |
+
},
|
| 973 |
+
{
|
| 974 |
+
"entropy": 0.9527446150779724,
|
| 975 |
+
"epoch": 1.2920592193808882,
|
| 976 |
+
"grad_norm": 1.0981712341308594,
|
| 977 |
+
"learning_rate": 9.830300498738152e-05,
|
| 978 |
+
"loss": 0.055077624320983884,
|
| 979 |
+
"mean_token_accuracy": 0.9776535391807556,
|
| 980 |
+
"num_tokens": 18103184.0,
|
| 981 |
+
"step": 960
|
| 982 |
+
},
|
| 983 |
+
{
|
| 984 |
+
"entropy": 0.9574812948703766,
|
| 985 |
+
"epoch": 1.3055181695827724,
|
| 986 |
+
"grad_norm": 0.8291501402854919,
|
| 987 |
+
"learning_rate": 9.824503673378112e-05,
|
| 988 |
+
"loss": 0.050153911113739014,
|
| 989 |
+
"mean_token_accuracy": 0.9792965054512024,
|
| 990 |
+
"num_tokens": 18291351.0,
|
| 991 |
+
"step": 970
|
| 992 |
+
},
|
| 993 |
+
{
|
| 994 |
+
"entropy": 0.939585280418396,
|
| 995 |
+
"epoch": 1.3189771197846567,
|
| 996 |
+
"grad_norm": 1.0864412784576416,
|
| 997 |
+
"learning_rate": 9.81861126332241e-05,
|
| 998 |
+
"loss": 0.05132197737693787,
|
| 999 |
+
"mean_token_accuracy": 0.9792291462421417,
|
| 1000 |
+
"num_tokens": 18480192.0,
|
| 1001 |
+
"step": 980
|
| 1002 |
+
},
|
| 1003 |
+
{
|
| 1004 |
+
"entropy": 0.9468406856060028,
|
| 1005 |
+
"epoch": 1.332436069986541,
|
| 1006 |
+
"grad_norm": 0.9772785902023315,
|
| 1007 |
+
"learning_rate": 9.812623385313461e-05,
|
| 1008 |
+
"loss": 0.04844954013824463,
|
| 1009 |
+
"mean_token_accuracy": 0.9804142415523529,
|
| 1010 |
+
"num_tokens": 18669028.0,
|
| 1011 |
+
"step": 990
|
| 1012 |
+
},
|
| 1013 |
+
{
|
| 1014 |
+
"entropy": 0.9413834273815155,
|
| 1015 |
+
"epoch": 1.3458950201884252,
|
| 1016 |
+
"grad_norm": 0.9020094871520996,
|
| 1017 |
+
"learning_rate": 9.806540157985131e-05,
|
| 1018 |
+
"loss": 0.05075312852859497,
|
| 1019 |
+
"mean_token_accuracy": 0.9790591120719909,
|
| 1020 |
+
"num_tokens": 18857581.0,
|
| 1021 |
+
"step": 1000
|
| 1022 |
+
},
|
| 1023 |
+
{
|
| 1024 |
+
"entropy": 0.9526253461837768,
|
| 1025 |
+
"epoch": 1.3593539703903095,
|
| 1026 |
+
"grad_norm": 1.0524990558624268,
|
| 1027 |
+
"learning_rate": 9.800361701860368e-05,
|
| 1028 |
+
"loss": 0.049737372994422914,
|
| 1029 |
+
"mean_token_accuracy": 0.9795652389526367,
|
| 1030 |
+
"num_tokens": 19046105.0,
|
| 1031 |
+
"step": 1010
|
| 1032 |
+
},
|
| 1033 |
+
{
|
| 1034 |
+
"entropy": 0.9484909176826477,
|
| 1035 |
+
"epoch": 1.3728129205921937,
|
| 1036 |
+
"grad_norm": 1.0715620517730713,
|
| 1037 |
+
"learning_rate": 9.794088139348835e-05,
|
| 1038 |
+
"loss": 0.04935494959354401,
|
| 1039 |
+
"mean_token_accuracy": 0.9797740161418915,
|
| 1040 |
+
"num_tokens": 19234730.0,
|
| 1041 |
+
"step": 1020
|
| 1042 |
+
},
|
| 1043 |
+
{
|
| 1044 |
+
"entropy": 0.9398573458194732,
|
| 1045 |
+
"epoch": 1.386271870794078,
|
| 1046 |
+
"grad_norm": 1.2134987115859985,
|
| 1047 |
+
"learning_rate": 9.787719594744468e-05,
|
| 1048 |
+
"loss": 0.0518394410610199,
|
| 1049 |
+
"mean_token_accuracy": 0.9793788075447083,
|
| 1050 |
+
"num_tokens": 19423572.0,
|
| 1051 |
+
"step": 1030
|
| 1052 |
+
},
|
| 1053 |
+
{
|
| 1054 |
+
"entropy": 0.9465648651123046,
|
| 1055 |
+
"epoch": 1.3997308209959622,
|
| 1056 |
+
"grad_norm": 1.004693627357483,
|
| 1057 |
+
"learning_rate": 9.781256194223023e-05,
|
| 1058 |
+
"loss": 0.04776117205619812,
|
| 1059 |
+
"mean_token_accuracy": 0.9813261866569519,
|
| 1060 |
+
"num_tokens": 19612465.0,
|
| 1061 |
+
"step": 1040
|
| 1062 |
+
},
|
| 1063 |
+
{
|
| 1064 |
+
"entropy": 0.9448004186153411,
|
| 1065 |
+
"epoch": 1.4131897711978465,
|
| 1066 |
+
"grad_norm": 1.2913438081741333,
|
| 1067 |
+
"learning_rate": 9.774698065839577e-05,
|
| 1068 |
+
"loss": 0.04807930588722229,
|
| 1069 |
+
"mean_token_accuracy": 0.9805689513683319,
|
| 1070 |
+
"num_tokens": 19800482.0,
|
| 1071 |
+
"step": 1050
|
| 1072 |
+
},
|
| 1073 |
+
{
|
| 1074 |
+
"entropy": 0.9425322234630584,
|
| 1075 |
+
"epoch": 1.4266487213997308,
|
| 1076 |
+
"grad_norm": 1.1068469285964966,
|
| 1077 |
+
"learning_rate": 9.768045339525979e-05,
|
| 1078 |
+
"loss": 0.05053595900535583,
|
| 1079 |
+
"mean_token_accuracy": 0.9794536828994751,
|
| 1080 |
+
"num_tokens": 19989444.0,
|
| 1081 |
+
"step": 1060
|
| 1082 |
+
},
|
| 1083 |
+
{
|
| 1084 |
+
"entropy": 0.9472232103347779,
|
| 1085 |
+
"epoch": 1.440107671601615,
|
| 1086 |
+
"grad_norm": 0.7409384250640869,
|
| 1087 |
+
"learning_rate": 9.76129814708829e-05,
|
| 1088 |
+
"loss": 0.052136778831481934,
|
| 1089 |
+
"mean_token_accuracy": 0.979197359085083,
|
| 1090 |
+
"num_tokens": 20178482.0,
|
| 1091 |
+
"step": 1070
|
| 1092 |
+
},
|
| 1093 |
+
{
|
| 1094 |
+
"entropy": 0.9450975477695465,
|
| 1095 |
+
"epoch": 1.4535666218034993,
|
| 1096 |
+
"grad_norm": 1.3440778255462646,
|
| 1097 |
+
"learning_rate": 9.754456622204167e-05,
|
| 1098 |
+
"loss": 0.05258495211601257,
|
| 1099 |
+
"mean_token_accuracy": 0.9798152863979339,
|
| 1100 |
+
"num_tokens": 20367345.0,
|
| 1101 |
+
"step": 1080
|
| 1102 |
+
},
|
| 1103 |
+
{
|
| 1104 |
+
"entropy": 0.9468007743358612,
|
| 1105 |
+
"epoch": 1.4670255720053835,
|
| 1106 |
+
"grad_norm": 0.8377829194068909,
|
| 1107 |
+
"learning_rate": 9.747520900420209e-05,
|
| 1108 |
+
"loss": 0.04893603026866913,
|
| 1109 |
+
"mean_token_accuracy": 0.9805733859539032,
|
| 1110 |
+
"num_tokens": 20555817.0,
|
| 1111 |
+
"step": 1090
|
| 1112 |
+
},
|
| 1113 |
+
{
|
| 1114 |
+
"entropy": 0.9505827724933624,
|
| 1115 |
+
"epoch": 1.4804845222072678,
|
| 1116 |
+
"grad_norm": 0.776889979839325,
|
| 1117 |
+
"learning_rate": 9.740491119149277e-05,
|
| 1118 |
+
"loss": 0.05367119312286377,
|
| 1119 |
+
"mean_token_accuracy": 0.9779646098613739,
|
| 1120 |
+
"num_tokens": 20744001.0,
|
| 1121 |
+
"step": 1100
|
| 1122 |
+
},
|
| 1123 |
+
{
|
| 1124 |
+
"entropy": 0.9516380190849304,
|
| 1125 |
+
"epoch": 1.493943472409152,
|
| 1126 |
+
"grad_norm": 0.8598276376724243,
|
| 1127 |
+
"learning_rate": 9.733367417667773e-05,
|
| 1128 |
+
"loss": 0.05071394443511963,
|
| 1129 |
+
"mean_token_accuracy": 0.979692417383194,
|
| 1130 |
+
"num_tokens": 20931715.0,
|
| 1131 |
+
"step": 1110
|
| 1132 |
+
},
|
| 1133 |
+
{
|
| 1134 |
+
"entropy": 0.9351628720760345,
|
| 1135 |
+
"epoch": 1.5074024226110363,
|
| 1136 |
+
"grad_norm": 1.3307439088821411,
|
| 1137 |
+
"learning_rate": 9.726149937112873e-05,
|
| 1138 |
+
"loss": 0.051372635364532473,
|
| 1139 |
+
"mean_token_accuracy": 0.9797907948493958,
|
| 1140 |
+
"num_tokens": 21120803.0,
|
| 1141 |
+
"step": 1120
|
| 1142 |
+
},
|
| 1143 |
+
{
|
| 1144 |
+
"entropy": 0.9268040716648102,
|
| 1145 |
+
"epoch": 1.5208613728129206,
|
| 1146 |
+
"grad_norm": 0.9320250749588013,
|
| 1147 |
+
"learning_rate": 9.718838820479743e-05,
|
| 1148 |
+
"loss": 0.04939974546432495,
|
| 1149 |
+
"mean_token_accuracy": 0.98038170337677,
|
| 1150 |
+
"num_tokens": 21309384.0,
|
| 1151 |
+
"step": 1130
|
| 1152 |
+
},
|
| 1153 |
+
{
|
| 1154 |
+
"entropy": 0.9241463243961334,
|
| 1155 |
+
"epoch": 1.5343203230148048,
|
| 1156 |
+
"grad_norm": 1.065938115119934,
|
| 1157 |
+
"learning_rate": 9.711434212618691e-05,
|
| 1158 |
+
"loss": 0.04856643378734589,
|
| 1159 |
+
"mean_token_accuracy": 0.9800511121749877,
|
| 1160 |
+
"num_tokens": 21498234.0,
|
| 1161 |
+
"step": 1140
|
| 1162 |
+
},
|
| 1163 |
+
{
|
| 1164 |
+
"entropy": 0.9350252687931061,
|
| 1165 |
+
"epoch": 1.547779273216689,
|
| 1166 |
+
"grad_norm": 0.6925032138824463,
|
| 1167 |
+
"learning_rate": 9.703936260232308e-05,
|
| 1168 |
+
"loss": 0.0512526273727417,
|
| 1169 |
+
"mean_token_accuracy": 0.979562646150589,
|
| 1170 |
+
"num_tokens": 21687119.0,
|
| 1171 |
+
"step": 1150
|
| 1172 |
+
},
|
| 1173 |
+
{
|
| 1174 |
+
"entropy": 0.9403733670711517,
|
| 1175 |
+
"epoch": 1.5612382234185733,
|
| 1176 |
+
"grad_norm": 1.2069101333618164,
|
| 1177 |
+
"learning_rate": 9.696345111872557e-05,
|
| 1178 |
+
"loss": 0.049795085191726686,
|
| 1179 |
+
"mean_token_accuracy": 0.9806506633758545,
|
| 1180 |
+
"num_tokens": 21876094.0,
|
| 1181 |
+
"step": 1160
|
| 1182 |
+
},
|
| 1183 |
+
{
|
| 1184 |
+
"entropy": 0.9370538294315338,
|
| 1185 |
+
"epoch": 1.5746971736204576,
|
| 1186 |
+
"grad_norm": 1.1759546995162964,
|
| 1187 |
+
"learning_rate": 9.688660917937838e-05,
|
| 1188 |
+
"loss": 0.05461466312408447,
|
| 1189 |
+
"mean_token_accuracy": 0.9776057600975037,
|
| 1190 |
+
"num_tokens": 22064836.0,
|
| 1191 |
+
"step": 1170
|
| 1192 |
+
},
|
| 1193 |
+
{
|
| 1194 |
+
"entropy": 0.9517778217792511,
|
| 1195 |
+
"epoch": 1.5881561238223418,
|
| 1196 |
+
"grad_norm": 0.8965149521827698,
|
| 1197 |
+
"learning_rate": 9.68088383066999e-05,
|
| 1198 |
+
"loss": 0.05289326906204224,
|
| 1199 |
+
"mean_token_accuracy": 0.9782088756561279,
|
| 1200 |
+
"num_tokens": 22253065.0,
|
| 1201 |
+
"step": 1180
|
| 1202 |
+
},
|
| 1203 |
+
{
|
| 1204 |
+
"entropy": 0.9372851848602295,
|
| 1205 |
+
"epoch": 1.601615074024226,
|
| 1206 |
+
"grad_norm": 0.7192108631134033,
|
| 1207 |
+
"learning_rate": 9.673014004151292e-05,
|
| 1208 |
+
"loss": 0.048973691463470456,
|
| 1209 |
+
"mean_token_accuracy": 0.9806210815906524,
|
| 1210 |
+
"num_tokens": 22441206.0,
|
| 1211 |
+
"step": 1190
|
| 1212 |
+
},
|
| 1213 |
+
{
|
| 1214 |
+
"entropy": 0.9122351944446564,
|
| 1215 |
+
"epoch": 1.6150740242261103,
|
| 1216 |
+
"grad_norm": 0.8763614296913147,
|
| 1217 |
+
"learning_rate": 9.665051594301407e-05,
|
| 1218 |
+
"loss": 0.0461783230304718,
|
| 1219 |
+
"mean_token_accuracy": 0.9817197680473327,
|
| 1220 |
+
"num_tokens": 22629637.0,
|
| 1221 |
+
"step": 1200
|
| 1222 |
+
},
|
| 1223 |
+
{
|
| 1224 |
+
"entropy": 0.9162654876708984,
|
| 1225 |
+
"epoch": 1.6285329744279946,
|
| 1226 |
+
"grad_norm": 0.9806778430938721,
|
| 1227 |
+
"learning_rate": 9.656996758874284e-05,
|
| 1228 |
+
"loss": 0.04827338755130768,
|
| 1229 |
+
"mean_token_accuracy": 0.9806499361991883,
|
| 1230 |
+
"num_tokens": 22818369.0,
|
| 1231 |
+
"step": 1210
|
| 1232 |
+
},
|
| 1233 |
+
{
|
| 1234 |
+
"entropy": 0.9125026524066925,
|
| 1235 |
+
"epoch": 1.6419919246298789,
|
| 1236 |
+
"grad_norm": 0.9685350656509399,
|
| 1237 |
+
"learning_rate": 9.648849657455044e-05,
|
| 1238 |
+
"loss": 0.048379385471343996,
|
| 1239 |
+
"mean_token_accuracy": 0.980905145406723,
|
| 1240 |
+
"num_tokens": 23006863.0,
|
| 1241 |
+
"step": 1220
|
| 1242 |
+
},
|
| 1243 |
+
{
|
| 1244 |
+
"entropy": 0.9119791567325592,
|
| 1245 |
+
"epoch": 1.6554508748317631,
|
| 1246 |
+
"grad_norm": 0.8717457056045532,
|
| 1247 |
+
"learning_rate": 9.640610451456811e-05,
|
| 1248 |
+
"loss": 0.050873959064483644,
|
| 1249 |
+
"mean_token_accuracy": 0.979601925611496,
|
| 1250 |
+
"num_tokens": 23195735.0,
|
| 1251 |
+
"step": 1230
|
| 1252 |
+
},
|
| 1253 |
+
{
|
| 1254 |
+
"entropy": 0.9244007229804992,
|
| 1255 |
+
"epoch": 1.6689098250336474,
|
| 1256 |
+
"grad_norm": 1.0574654340744019,
|
| 1257 |
+
"learning_rate": 9.632279304117517e-05,
|
| 1258 |
+
"loss": 0.05112813711166382,
|
| 1259 |
+
"mean_token_accuracy": 0.979493772983551,
|
| 1260 |
+
"num_tokens": 23383862.0,
|
| 1261 |
+
"step": 1240
|
| 1262 |
+
},
|
| 1263 |
+
{
|
| 1264 |
+
"entropy": 0.9225810945034028,
|
| 1265 |
+
"epoch": 1.6823687752355316,
|
| 1266 |
+
"grad_norm": 0.9628807306289673,
|
| 1267 |
+
"learning_rate": 9.623856380496664e-05,
|
| 1268 |
+
"loss": 0.050480544567108154,
|
| 1269 |
+
"mean_token_accuracy": 0.9797678411006927,
|
| 1270 |
+
"num_tokens": 23572292.0,
|
| 1271 |
+
"step": 1250
|
| 1272 |
+
},
|
| 1273 |
+
{
|
| 1274 |
+
"entropy": 0.9287579476833343,
|
| 1275 |
+
"epoch": 1.695827725437416,
|
| 1276 |
+
"grad_norm": 1.015265941619873,
|
| 1277 |
+
"learning_rate": 9.615341847472059e-05,
|
| 1278 |
+
"loss": 0.05133126378059387,
|
| 1279 |
+
"mean_token_accuracy": 0.9797986805438995,
|
| 1280 |
+
"num_tokens": 23760252.0,
|
| 1281 |
+
"step": 1260
|
| 1282 |
+
},
|
| 1283 |
+
{
|
| 1284 |
+
"entropy": 0.9133845925331116,
|
| 1285 |
+
"epoch": 1.7092866756393001,
|
| 1286 |
+
"grad_norm": 0.8996883630752563,
|
| 1287 |
+
"learning_rate": 9.606735873736505e-05,
|
| 1288 |
+
"loss": 0.05044950246810913,
|
| 1289 |
+
"mean_token_accuracy": 0.9795303404331207,
|
| 1290 |
+
"num_tokens": 23949031.0,
|
| 1291 |
+
"step": 1270
|
| 1292 |
+
},
|
| 1293 |
+
{
|
| 1294 |
+
"entropy": 0.9213698863983154,
|
| 1295 |
+
"epoch": 1.7227456258411844,
|
| 1296 |
+
"grad_norm": 1.0490264892578125,
|
| 1297 |
+
"learning_rate": 9.598038629794461e-05,
|
| 1298 |
+
"loss": 0.04797698855400086,
|
| 1299 |
+
"mean_token_accuracy": 0.9806023716926575,
|
| 1300 |
+
"num_tokens": 24137829.0,
|
| 1301 |
+
"step": 1280
|
| 1302 |
+
},
|
| 1303 |
+
{
|
| 1304 |
+
"entropy": 0.9173697710037232,
|
| 1305 |
+
"epoch": 1.7362045760430687,
|
| 1306 |
+
"grad_norm": 1.3648769855499268,
|
| 1307 |
+
"learning_rate": 9.589250287958657e-05,
|
| 1308 |
+
"loss": 0.049194514751434326,
|
| 1309 |
+
"mean_token_accuracy": 0.980712479352951,
|
| 1310 |
+
"num_tokens": 24326586.0,
|
| 1311 |
+
"step": 1290
|
| 1312 |
+
},
|
| 1313 |
+
{
|
| 1314 |
+
"entropy": 0.9242741882801055,
|
| 1315 |
+
"epoch": 1.749663526244953,
|
| 1316 |
+
"grad_norm": 1.105125069618225,
|
| 1317 |
+
"learning_rate": 9.580371022346693e-05,
|
| 1318 |
+
"loss": 0.048667973279953,
|
| 1319 |
+
"mean_token_accuracy": 0.9801449298858642,
|
| 1320 |
+
"num_tokens": 24514904.0,
|
| 1321 |
+
"step": 1300
|
| 1322 |
+
},
|
| 1323 |
+
{
|
| 1324 |
+
"entropy": 0.9162627995014191,
|
| 1325 |
+
"epoch": 1.7631224764468372,
|
| 1326 |
+
"grad_norm": 0.8887938857078552,
|
| 1327 |
+
"learning_rate": 9.571401008877572e-05,
|
| 1328 |
+
"loss": 0.04878672957420349,
|
| 1329 |
+
"mean_token_accuracy": 0.980469423532486,
|
| 1330 |
+
"num_tokens": 24703688.0,
|
| 1331 |
+
"step": 1310
|
| 1332 |
+
},
|
| 1333 |
+
{
|
| 1334 |
+
"entropy": 0.9149538338184356,
|
| 1335 |
+
"epoch": 1.7765814266487214,
|
| 1336 |
+
"grad_norm": 0.8838976621627808,
|
| 1337 |
+
"learning_rate": 9.562340425268233e-05,
|
| 1338 |
+
"loss": 0.04892318844795227,
|
| 1339 |
+
"mean_token_accuracy": 0.9808776795864105,
|
| 1340 |
+
"num_tokens": 24892107.0,
|
| 1341 |
+
"step": 1320
|
| 1342 |
+
},
|
| 1343 |
+
{
|
| 1344 |
+
"entropy": 0.914735221862793,
|
| 1345 |
+
"epoch": 1.7900403768506057,
|
| 1346 |
+
"grad_norm": 1.1152070760726929,
|
| 1347 |
+
"learning_rate": 9.553189451030019e-05,
|
| 1348 |
+
"loss": 0.04825109839439392,
|
| 1349 |
+
"mean_token_accuracy": 0.9804604113101959,
|
| 1350 |
+
"num_tokens": 25080130.0,
|
| 1351 |
+
"step": 1330
|
| 1352 |
+
},
|
| 1353 |
+
{
|
| 1354 |
+
"entropy": 0.9170725226402283,
|
| 1355 |
+
"epoch": 1.80349932705249,
|
| 1356 |
+
"grad_norm": 0.9479517340660095,
|
| 1357 |
+
"learning_rate": 9.543948267465115e-05,
|
| 1358 |
+
"loss": 0.051445144414901736,
|
| 1359 |
+
"mean_token_accuracy": 0.9792819261550904,
|
| 1360 |
+
"num_tokens": 25268652.0,
|
| 1361 |
+
"step": 1340
|
| 1362 |
+
},
|
| 1363 |
+
{
|
| 1364 |
+
"entropy": 0.9142911911010743,
|
| 1365 |
+
"epoch": 1.8169582772543742,
|
| 1366 |
+
"grad_norm": 0.8172292709350586,
|
| 1367 |
+
"learning_rate": 9.534617057662977e-05,
|
| 1368 |
+
"loss": 0.0475692093372345,
|
| 1369 |
+
"mean_token_accuracy": 0.9809505581855774,
|
| 1370 |
+
"num_tokens": 25457120.0,
|
| 1371 |
+
"step": 1350
|
| 1372 |
+
},
|
| 1373 |
+
{
|
| 1374 |
+
"entropy": 0.9019249439239502,
|
| 1375 |
+
"epoch": 1.8304172274562585,
|
| 1376 |
+
"grad_norm": 0.8183121681213379,
|
| 1377 |
+
"learning_rate": 9.525196006496679e-05,
|
| 1378 |
+
"loss": 0.04979957342147827,
|
| 1379 |
+
"mean_token_accuracy": 0.9799730658531189,
|
| 1380 |
+
"num_tokens": 25645699.0,
|
| 1381 |
+
"step": 1360
|
| 1382 |
+
},
|
| 1383 |
+
{
|
| 1384 |
+
"entropy": 0.9181066155433655,
|
| 1385 |
+
"epoch": 1.8438761776581427,
|
| 1386 |
+
"grad_norm": 0.8256579041481018,
|
| 1387 |
+
"learning_rate": 9.515685300619271e-05,
|
| 1388 |
+
"loss": 0.04996164441108704,
|
| 1389 |
+
"mean_token_accuracy": 0.9802247405052185,
|
| 1390 |
+
"num_tokens": 25834183.0,
|
| 1391 |
+
"step": 1370
|
| 1392 |
+
},
|
| 1393 |
+
{
|
| 1394 |
+
"entropy": 0.9171363770961761,
|
| 1395 |
+
"epoch": 1.857335127860027,
|
| 1396 |
+
"grad_norm": 0.9727098345756531,
|
| 1397 |
+
"learning_rate": 9.506085128460065e-05,
|
| 1398 |
+
"loss": 0.048660767078399655,
|
| 1399 |
+
"mean_token_accuracy": 0.9805064260959625,
|
| 1400 |
+
"num_tokens": 26023317.0,
|
| 1401 |
+
"step": 1380
|
| 1402 |
+
},
|
| 1403 |
+
{
|
| 1404 |
+
"entropy": 0.9112720847129822,
|
| 1405 |
+
"epoch": 1.8707940780619112,
|
| 1406 |
+
"grad_norm": 0.9826673865318298,
|
| 1407 |
+
"learning_rate": 9.496395680220918e-05,
|
| 1408 |
+
"loss": 0.04775593280792236,
|
| 1409 |
+
"mean_token_accuracy": 0.9809929549694061,
|
| 1410 |
+
"num_tokens": 26212115.0,
|
| 1411 |
+
"step": 1390
|
| 1412 |
+
},
|
| 1413 |
+
{
|
| 1414 |
+
"entropy": 0.9034272134304047,
|
| 1415 |
+
"epoch": 1.8842530282637955,
|
| 1416 |
+
"grad_norm": 0.9951306581497192,
|
| 1417 |
+
"learning_rate": 9.486617147872446e-05,
|
| 1418 |
+
"loss": 0.04939360618591308,
|
| 1419 |
+
"mean_token_accuracy": 0.9800347864627839,
|
| 1420 |
+
"num_tokens": 26401167.0,
|
| 1421 |
+
"step": 1400
|
| 1422 |
+
},
|
| 1423 |
+
{
|
| 1424 |
+
"entropy": 0.897865754365921,
|
| 1425 |
+
"epoch": 1.8977119784656797,
|
| 1426 |
+
"grad_norm": 1.0163404941558838,
|
| 1427 |
+
"learning_rate": 9.476749725150235e-05,
|
| 1428 |
+
"loss": 0.05002856254577637,
|
| 1429 |
+
"mean_token_accuracy": 0.9793690323829651,
|
| 1430 |
+
"num_tokens": 26590570.0,
|
| 1431 |
+
"step": 1410
|
| 1432 |
+
},
|
| 1433 |
+
{
|
| 1434 |
+
"entropy": 0.9004576802253723,
|
| 1435 |
+
"epoch": 1.911170928667564,
|
| 1436 |
+
"grad_norm": 0.6666616201400757,
|
| 1437 |
+
"learning_rate": 9.466793607550995e-05,
|
| 1438 |
+
"loss": 0.04905453026294708,
|
| 1439 |
+
"mean_token_accuracy": 0.9803856253623963,
|
| 1440 |
+
"num_tokens": 26779481.0,
|
| 1441 |
+
"step": 1420
|
| 1442 |
+
},
|
| 1443 |
+
{
|
| 1444 |
+
"entropy": 0.8978902101516724,
|
| 1445 |
+
"epoch": 1.9246298788694483,
|
| 1446 |
+
"grad_norm": 0.9295416474342346,
|
| 1447 |
+
"learning_rate": 9.45674899232869e-05,
|
| 1448 |
+
"loss": 0.05261261463165283,
|
| 1449 |
+
"mean_token_accuracy": 0.9785708487033844,
|
| 1450 |
+
"num_tokens": 26968262.0,
|
| 1451 |
+
"step": 1430
|
| 1452 |
+
},
|
| 1453 |
+
{
|
| 1454 |
+
"entropy": 0.8962675571441651,
|
| 1455 |
+
"epoch": 1.9380888290713325,
|
| 1456 |
+
"grad_norm": 0.88262939453125,
|
| 1457 |
+
"learning_rate": 9.446616078490626e-05,
|
| 1458 |
+
"loss": 0.04765265882015228,
|
| 1459 |
+
"mean_token_accuracy": 0.98052077293396,
|
| 1460 |
+
"num_tokens": 27157631.0,
|
| 1461 |
+
"step": 1440
|
| 1462 |
+
},
|
| 1463 |
+
{
|
| 1464 |
+
"entropy": 0.8909463047981262,
|
| 1465 |
+
"epoch": 1.9515477792732168,
|
| 1466 |
+
"grad_norm": 1.4205769300460815,
|
| 1467 |
+
"learning_rate": 9.436395066793518e-05,
|
| 1468 |
+
"loss": 0.049406200647354126,
|
| 1469 |
+
"mean_token_accuracy": 0.979697072505951,
|
| 1470 |
+
"num_tokens": 27345921.0,
|
| 1471 |
+
"step": 1450
|
| 1472 |
+
},
|
| 1473 |
+
{
|
| 1474 |
+
"entropy": 0.8969364166259766,
|
| 1475 |
+
"epoch": 1.965006729475101,
|
| 1476 |
+
"grad_norm": 0.9517145752906799,
|
| 1477 |
+
"learning_rate": 9.426086159739496e-05,
|
| 1478 |
+
"loss": 0.0510346531867981,
|
| 1479 |
+
"mean_token_accuracy": 0.9793386399745941,
|
| 1480 |
+
"num_tokens": 27534751.0,
|
| 1481 |
+
"step": 1460
|
| 1482 |
+
},
|
| 1483 |
+
{
|
| 1484 |
+
"entropy": 0.9092479169368743,
|
| 1485 |
+
"epoch": 1.9784656796769853,
|
| 1486 |
+
"grad_norm": 1.200056791305542,
|
| 1487 |
+
"learning_rate": 9.415689561572107e-05,
|
| 1488 |
+
"loss": 0.04974203705787659,
|
| 1489 |
+
"mean_token_accuracy": 0.9800146698951722,
|
| 1490 |
+
"num_tokens": 27723763.0,
|
| 1491 |
+
"step": 1470
|
| 1492 |
+
},
|
| 1493 |
+
{
|
| 1494 |
+
"entropy": 0.9059641897678375,
|
| 1495 |
+
"epoch": 1.9919246298788695,
|
| 1496 |
+
"grad_norm": 1.072447657585144,
|
| 1497 |
+
"learning_rate": 9.405205478272267e-05,
|
| 1498 |
+
"loss": 0.05065792202949524,
|
| 1499 |
+
"mean_token_accuracy": 0.9799223959445953,
|
| 1500 |
+
"num_tokens": 27911784.0,
|
| 1501 |
+
"step": 1480
|
| 1502 |
+
},
|
| 1503 |
+
{
|
| 1504 |
+
"epoch": 2.0,
|
| 1505 |
+
"eval_entropy": 0.9083398975384464,
|
| 1506 |
+
"eval_loss": 0.05432562157511711,
|
| 1507 |
+
"eval_mean_token_accuracy": 0.9782073607869969,
|
| 1508 |
+
"eval_num_tokens": 28025286.0,
|
| 1509 |
+
"eval_runtime": 24.4304,
|
| 1510 |
+
"eval_samples_per_second": 204.663,
|
| 1511 |
+
"eval_steps_per_second": 6.426,
|
| 1512 |
+
"step": 1486
|
| 1513 |
+
},
|
| 1514 |
+
{
|
| 1515 |
+
"entropy": 0.9113237977027893,
|
| 1516 |
+
"epoch": 2.005383580080754,
|
| 1517 |
+
"grad_norm": 1.0167063474655151,
|
| 1518 |
+
"learning_rate": 9.394634117554173e-05,
|
| 1519 |
+
"loss": 0.044942992925643924,
|
| 1520 |
+
"mean_token_accuracy": 0.9818171083927154,
|
| 1521 |
+
"num_tokens": 28100906.0,
|
| 1522 |
+
"step": 1490
|
| 1523 |
+
},
|
| 1524 |
+
{
|
| 1525 |
+
"entropy": 0.8780008792877197,
|
| 1526 |
+
"epoch": 2.018842530282638,
|
| 1527 |
+
"grad_norm": 1.9552241563796997,
|
| 1528 |
+
"learning_rate": 9.38397568886119e-05,
|
| 1529 |
+
"loss": 0.036248764395713805,
|
| 1530 |
+
"mean_token_accuracy": 0.9852245450019836,
|
| 1531 |
+
"num_tokens": 28289445.0,
|
| 1532 |
+
"step": 1500
|
| 1533 |
+
},
|
| 1534 |
+
{
|
| 1535 |
+
"entropy": 0.8721176147460937,
|
| 1536 |
+
"epoch": 2.0323014804845223,
|
| 1537 |
+
"grad_norm": 0.8951388001441956,
|
| 1538 |
+
"learning_rate": 9.373230403361712e-05,
|
| 1539 |
+
"loss": 0.037987279891967776,
|
| 1540 |
+
"mean_token_accuracy": 0.9850614190101623,
|
| 1541 |
+
"num_tokens": 28477972.0,
|
| 1542 |
+
"step": 1510
|
| 1543 |
+
},
|
| 1544 |
+
{
|
| 1545 |
+
"entropy": 0.8922657191753387,
|
| 1546 |
+
"epoch": 2.0457604306864066,
|
| 1547 |
+
"grad_norm": 0.9028105735778809,
|
| 1548 |
+
"learning_rate": 9.362398473944958e-05,
|
| 1549 |
+
"loss": 0.03588914275169373,
|
| 1550 |
+
"mean_token_accuracy": 0.9863102614879609,
|
| 1551 |
+
"num_tokens": 28666272.0,
|
| 1552 |
+
"step": 1520
|
| 1553 |
+
},
|
| 1554 |
+
{
|
| 1555 |
+
"entropy": 0.877799642086029,
|
| 1556 |
+
"epoch": 2.059219380888291,
|
| 1557 |
+
"grad_norm": 1.153886318206787,
|
| 1558 |
+
"learning_rate": 9.35148011521677e-05,
|
| 1559 |
+
"loss": 0.03577309250831604,
|
| 1560 |
+
"mean_token_accuracy": 0.9863148391246795,
|
| 1561 |
+
"num_tokens": 28854780.0,
|
| 1562 |
+
"step": 1530
|
| 1563 |
+
},
|
| 1564 |
+
{
|
| 1565 |
+
"entropy": 0.8708971381187439,
|
| 1566 |
+
"epoch": 2.072678331090175,
|
| 1567 |
+
"grad_norm": 1.042955994606018,
|
| 1568 |
+
"learning_rate": 9.340475543495364e-05,
|
| 1569 |
+
"loss": 0.038266432285308835,
|
| 1570 |
+
"mean_token_accuracy": 0.9848419308662415,
|
| 1571 |
+
"num_tokens": 29043741.0,
|
| 1572 |
+
"step": 1540
|
| 1573 |
+
},
|
| 1574 |
+
{
|
| 1575 |
+
"entropy": 0.8800721943378449,
|
| 1576 |
+
"epoch": 2.0861372812920593,
|
| 1577 |
+
"grad_norm": 0.6789060235023499,
|
| 1578 |
+
"learning_rate": 9.329384976807023e-05,
|
| 1579 |
+
"loss": 0.032948991656303404,
|
| 1580 |
+
"mean_token_accuracy": 0.9871293902397156,
|
| 1581 |
+
"num_tokens": 29232719.0,
|
| 1582 |
+
"step": 1550
|
| 1583 |
+
},
|
| 1584 |
+
{
|
| 1585 |
+
"entropy": 0.8743580460548401,
|
| 1586 |
+
"epoch": 2.0995962314939436,
|
| 1587 |
+
"grad_norm": 1.1780879497528076,
|
| 1588 |
+
"learning_rate": 9.318208634881802e-05,
|
| 1589 |
+
"loss": 0.036874374747276305,
|
| 1590 |
+
"mean_token_accuracy": 0.9859182178974152,
|
| 1591 |
+
"num_tokens": 29421817.0,
|
| 1592 |
+
"step": 1560
|
| 1593 |
+
},
|
| 1594 |
+
{
|
| 1595 |
+
"entropy": 0.8851303637027741,
|
| 1596 |
+
"epoch": 2.113055181695828,
|
| 1597 |
+
"grad_norm": 0.747734785079956,
|
| 1598 |
+
"learning_rate": 9.306946739149161e-05,
|
| 1599 |
+
"loss": 0.0364631175994873,
|
| 1600 |
+
"mean_token_accuracy": 0.9862085223197937,
|
| 1601 |
+
"num_tokens": 29610344.0,
|
| 1602 |
+
"step": 1570
|
| 1603 |
+
},
|
| 1604 |
+
{
|
| 1605 |
+
"entropy": 0.8798732101917267,
|
| 1606 |
+
"epoch": 2.126514131897712,
|
| 1607 |
+
"grad_norm": 1.5001860857009888,
|
| 1608 |
+
"learning_rate": 9.29559951273358e-05,
|
| 1609 |
+
"loss": 0.03813003897666931,
|
| 1610 |
+
"mean_token_accuracy": 0.9852604746818543,
|
| 1611 |
+
"num_tokens": 29798997.0,
|
| 1612 |
+
"step": 1580
|
| 1613 |
+
},
|
| 1614 |
+
{
|
| 1615 |
+
"entropy": 0.8797551989555359,
|
| 1616 |
+
"epoch": 2.1399730820995964,
|
| 1617 |
+
"grad_norm": 0.9593478441238403,
|
| 1618 |
+
"learning_rate": 9.284167180450141e-05,
|
| 1619 |
+
"loss": 0.0394927829504013,
|
| 1620 |
+
"mean_token_accuracy": 0.984604275226593,
|
| 1621 |
+
"num_tokens": 29987809.0,
|
| 1622 |
+
"step": 1590
|
| 1623 |
+
},
|
| 1624 |
+
{
|
| 1625 |
+
"entropy": 0.8860546290874481,
|
| 1626 |
+
"epoch": 2.1534320323014806,
|
| 1627 |
+
"grad_norm": 0.8347703218460083,
|
| 1628 |
+
"learning_rate": 9.272649968800069e-05,
|
| 1629 |
+
"loss": 0.036699697375297546,
|
| 1630 |
+
"mean_token_accuracy": 0.985380882024765,
|
| 1631 |
+
"num_tokens": 30176234.0,
|
| 1632 |
+
"step": 1600
|
| 1633 |
+
},
|
| 1634 |
+
{
|
| 1635 |
+
"entropy": 0.8783667802810669,
|
| 1636 |
+
"epoch": 2.166890982503365,
|
| 1637 |
+
"grad_norm": 1.1154481172561646,
|
| 1638 |
+
"learning_rate": 9.26104810596625e-05,
|
| 1639 |
+
"loss": 0.03756999969482422,
|
| 1640 |
+
"mean_token_accuracy": 0.9853451430797577,
|
| 1641 |
+
"num_tokens": 30364657.0,
|
| 1642 |
+
"step": 1610
|
| 1643 |
+
},
|
| 1644 |
+
{
|
| 1645 |
+
"entropy": 0.8684478521347045,
|
| 1646 |
+
"epoch": 2.180349932705249,
|
| 1647 |
+
"grad_norm": 0.7515475153923035,
|
| 1648 |
+
"learning_rate": 9.249361821808708e-05,
|
| 1649 |
+
"loss": 0.0382376104593277,
|
| 1650 |
+
"mean_token_accuracy": 0.9854029655456543,
|
| 1651 |
+
"num_tokens": 30552904.0,
|
| 1652 |
+
"step": 1620
|
| 1653 |
+
},
|
| 1654 |
+
{
|
| 1655 |
+
"entropy": 0.8636964917182922,
|
| 1656 |
+
"epoch": 2.1938088829071334,
|
| 1657 |
+
"grad_norm": 0.7711939215660095,
|
| 1658 |
+
"learning_rate": 9.237591347860052e-05,
|
| 1659 |
+
"loss": 0.036220991611480714,
|
| 1660 |
+
"mean_token_accuracy": 0.9860713243484497,
|
| 1661 |
+
"num_tokens": 30741259.0,
|
| 1662 |
+
"step": 1630
|
| 1663 |
+
},
|
| 1664 |
+
{
|
| 1665 |
+
"entropy": 0.8592016279697419,
|
| 1666 |
+
"epoch": 2.2072678331090176,
|
| 1667 |
+
"grad_norm": 1.1143887042999268,
|
| 1668 |
+
"learning_rate": 9.225736917320886e-05,
|
| 1669 |
+
"loss": 0.036316031217575075,
|
| 1670 |
+
"mean_token_accuracy": 0.985757052898407,
|
| 1671 |
+
"num_tokens": 30930144.0,
|
| 1672 |
+
"step": 1640
|
| 1673 |
+
},
|
| 1674 |
+
{
|
| 1675 |
+
"entropy": 0.8671079576015472,
|
| 1676 |
+
"epoch": 2.220726783310902,
|
| 1677 |
+
"grad_norm": 0.8980015516281128,
|
| 1678 |
+
"learning_rate": 9.213798765055187e-05,
|
| 1679 |
+
"loss": 0.03822658061981201,
|
| 1680 |
+
"mean_token_accuracy": 0.9847764372825623,
|
| 1681 |
+
"num_tokens": 31118624.0,
|
| 1682 |
+
"step": 1650
|
| 1683 |
+
},
|
| 1684 |
+
{
|
| 1685 |
+
"entropy": 0.8785548269748688,
|
| 1686 |
+
"epoch": 2.234185733512786,
|
| 1687 |
+
"grad_norm": 1.094323992729187,
|
| 1688 |
+
"learning_rate": 9.20177712758566e-05,
|
| 1689 |
+
"loss": 0.03736622333526611,
|
| 1690 |
+
"mean_token_accuracy": 0.9850081980228425,
|
| 1691 |
+
"num_tokens": 31306833.0,
|
| 1692 |
+
"step": 1660
|
| 1693 |
+
},
|
| 1694 |
+
{
|
| 1695 |
+
"entropy": 0.866977310180664,
|
| 1696 |
+
"epoch": 2.2476446837146704,
|
| 1697 |
+
"grad_norm": 0.8372092843055725,
|
| 1698 |
+
"learning_rate": 9.189672243089046e-05,
|
| 1699 |
+
"loss": 0.0401554524898529,
|
| 1700 |
+
"mean_token_accuracy": 0.9840337932109833,
|
| 1701 |
+
"num_tokens": 31495503.0,
|
| 1702 |
+
"step": 1670
|
| 1703 |
+
},
|
| 1704 |
+
{
|
| 1705 |
+
"entropy": 0.8787918210029602,
|
| 1706 |
+
"epoch": 2.2611036339165547,
|
| 1707 |
+
"grad_norm": 1.5408164262771606,
|
| 1708 |
+
"learning_rate": 9.177484351391402e-05,
|
| 1709 |
+
"loss": 0.0368030846118927,
|
| 1710 |
+
"mean_token_accuracy": 0.9847234487533569,
|
| 1711 |
+
"num_tokens": 31683865.0,
|
| 1712 |
+
"step": 1680
|
| 1713 |
+
},
|
| 1714 |
+
{
|
| 1715 |
+
"entropy": 0.872721153497696,
|
| 1716 |
+
"epoch": 2.274562584118439,
|
| 1717 |
+
"grad_norm": 1.1115421056747437,
|
| 1718 |
+
"learning_rate": 9.165213693963355e-05,
|
| 1719 |
+
"loss": 0.037859299778938295,
|
| 1720 |
+
"mean_token_accuracy": 0.9851646661758423,
|
| 1721 |
+
"num_tokens": 31871903.0,
|
| 1722 |
+
"step": 1690
|
| 1723 |
+
},
|
| 1724 |
+
{
|
| 1725 |
+
"entropy": 0.8774094223976135,
|
| 1726 |
+
"epoch": 2.288021534320323,
|
| 1727 |
+
"grad_norm": 1.0301331281661987,
|
| 1728 |
+
"learning_rate": 9.152860513915314e-05,
|
| 1729 |
+
"loss": 0.038671016693115234,
|
| 1730 |
+
"mean_token_accuracy": 0.9840058028697968,
|
| 1731 |
+
"num_tokens": 32060500.0,
|
| 1732 |
+
"step": 1700
|
| 1733 |
+
},
|
| 1734 |
+
{
|
| 1735 |
+
"entropy": 0.889606237411499,
|
| 1736 |
+
"epoch": 2.3014804845222074,
|
| 1737 |
+
"grad_norm": 0.8601903915405273,
|
| 1738 |
+
"learning_rate": 9.140425055992648e-05,
|
| 1739 |
+
"loss": 0.039603835344314574,
|
| 1740 |
+
"mean_token_accuracy": 0.9840235590934754,
|
| 1741 |
+
"num_tokens": 32248744.0,
|
| 1742 |
+
"step": 1710
|
| 1743 |
+
},
|
| 1744 |
+
{
|
| 1745 |
+
"entropy": 0.886734277009964,
|
| 1746 |
+
"epoch": 2.3149394347240917,
|
| 1747 |
+
"grad_norm": 1.1029839515686035,
|
| 1748 |
+
"learning_rate": 9.127907566570853e-05,
|
| 1749 |
+
"loss": 0.039513933658599856,
|
| 1750 |
+
"mean_token_accuracy": 0.9844573020935059,
|
| 1751 |
+
"num_tokens": 32437640.0,
|
| 1752 |
+
"step": 1720
|
| 1753 |
+
},
|
| 1754 |
+
{
|
| 1755 |
+
"entropy": 0.8843017637729644,
|
| 1756 |
+
"epoch": 2.328398384925976,
|
| 1757 |
+
"grad_norm": 1.2545154094696045,
|
| 1758 |
+
"learning_rate": 9.115308293650653e-05,
|
| 1759 |
+
"loss": 0.036970189213752745,
|
| 1760 |
+
"mean_token_accuracy": 0.985239815711975,
|
| 1761 |
+
"num_tokens": 32625986.0,
|
| 1762 |
+
"step": 1730
|
| 1763 |
+
},
|
| 1764 |
+
{
|
| 1765 |
+
"entropy": 0.8913422048091888,
|
| 1766 |
+
"epoch": 2.34185733512786,
|
| 1767 |
+
"grad_norm": 0.9613803625106812,
|
| 1768 |
+
"learning_rate": 9.102627486853099e-05,
|
| 1769 |
+
"loss": 0.03811657428741455,
|
| 1770 |
+
"mean_token_accuracy": 0.9852804243564606,
|
| 1771 |
+
"num_tokens": 32814531.0,
|
| 1772 |
+
"step": 1740
|
| 1773 |
+
},
|
| 1774 |
+
{
|
| 1775 |
+
"entropy": 0.8907467782497406,
|
| 1776 |
+
"epoch": 2.3553162853297445,
|
| 1777 |
+
"grad_norm": 1.1811398267745972,
|
| 1778 |
+
"learning_rate": 9.089865397414614e-05,
|
| 1779 |
+
"loss": 0.03903660774230957,
|
| 1780 |
+
"mean_token_accuracy": 0.9842524945735931,
|
| 1781 |
+
"num_tokens": 33002960.0,
|
| 1782 |
+
"step": 1750
|
| 1783 |
+
},
|
| 1784 |
+
{
|
| 1785 |
+
"entropy": 0.8833664715290069,
|
| 1786 |
+
"epoch": 2.3687752355316287,
|
| 1787 |
+
"grad_norm": 0.8338477611541748,
|
| 1788 |
+
"learning_rate": 9.077022278182024e-05,
|
| 1789 |
+
"loss": 0.03982087969779968,
|
| 1790 |
+
"mean_token_accuracy": 0.9841201484203339,
|
| 1791 |
+
"num_tokens": 33191183.0,
|
| 1792 |
+
"step": 1760
|
| 1793 |
+
},
|
| 1794 |
+
{
|
| 1795 |
+
"entropy": 0.8783826470375061,
|
| 1796 |
+
"epoch": 2.382234185733513,
|
| 1797 |
+
"grad_norm": 0.6904510259628296,
|
| 1798 |
+
"learning_rate": 9.064098383607545e-05,
|
| 1799 |
+
"loss": 0.03699290752410889,
|
| 1800 |
+
"mean_token_accuracy": 0.9854120731353759,
|
| 1801 |
+
"num_tokens": 33379798.0,
|
| 1802 |
+
"step": 1770
|
| 1803 |
+
},
|
| 1804 |
+
{
|
| 1805 |
+
"entropy": 0.8871048510074615,
|
| 1806 |
+
"epoch": 2.3956931359353972,
|
| 1807 |
+
"grad_norm": 1.009539246559143,
|
| 1808 |
+
"learning_rate": 9.051093969743738e-05,
|
| 1809 |
+
"loss": 0.03926805555820465,
|
| 1810 |
+
"mean_token_accuracy": 0.9843246698379516,
|
| 1811 |
+
"num_tokens": 33568531.0,
|
| 1812 |
+
"step": 1780
|
| 1813 |
+
},
|
| 1814 |
+
{
|
| 1815 |
+
"entropy": 0.8973462700843811,
|
| 1816 |
+
"epoch": 2.409152086137281,
|
| 1817 |
+
"grad_norm": 0.8916401267051697,
|
| 1818 |
+
"learning_rate": 9.03800929423844e-05,
|
| 1819 |
+
"loss": 0.039596831798553465,
|
| 1820 |
+
"mean_token_accuracy": 0.9839228212833404,
|
| 1821 |
+
"num_tokens": 33756333.0,
|
| 1822 |
+
"step": 1790
|
| 1823 |
+
},
|
| 1824 |
+
{
|
| 1825 |
+
"entropy": 0.8954619467258453,
|
| 1826 |
+
"epoch": 2.4226110363391653,
|
| 1827 |
+
"grad_norm": 1.056504487991333,
|
| 1828 |
+
"learning_rate": 9.024844616329662e-05,
|
| 1829 |
+
"loss": 0.0396859347820282,
|
| 1830 |
+
"mean_token_accuracy": 0.9837161123752594,
|
| 1831 |
+
"num_tokens": 33944904.0,
|
| 1832 |
+
"step": 1800
|
| 1833 |
+
},
|
| 1834 |
+
{
|
| 1835 |
+
"entropy": 0.8952643811702728,
|
| 1836 |
+
"epoch": 2.4360699865410496,
|
| 1837 |
+
"grad_norm": 1.0442084074020386,
|
| 1838 |
+
"learning_rate": 9.011600196840447e-05,
|
| 1839 |
+
"loss": 0.037324142456054685,
|
| 1840 |
+
"mean_token_accuracy": 0.9852897703647614,
|
| 1841 |
+
"num_tokens": 34133530.0,
|
| 1842 |
+
"step": 1810
|
| 1843 |
+
},
|
| 1844 |
+
{
|
| 1845 |
+
"entropy": 0.8874911010265351,
|
| 1846 |
+
"epoch": 2.449528936742934,
|
| 1847 |
+
"grad_norm": 0.9926224946975708,
|
| 1848 |
+
"learning_rate": 8.998276298173707e-05,
|
| 1849 |
+
"loss": 0.03637495338916778,
|
| 1850 |
+
"mean_token_accuracy": 0.9853426337242126,
|
| 1851 |
+
"num_tokens": 34322042.0,
|
| 1852 |
+
"step": 1820
|
| 1853 |
+
},
|
| 1854 |
+
{
|
| 1855 |
+
"entropy": 0.8900584518909455,
|
| 1856 |
+
"epoch": 2.462987886944818,
|
| 1857 |
+
"grad_norm": 1.001734733581543,
|
| 1858 |
+
"learning_rate": 8.984873184307017e-05,
|
| 1859 |
+
"loss": 0.04029585719108582,
|
| 1860 |
+
"mean_token_accuracy": 0.9842372059822082,
|
| 1861 |
+
"num_tokens": 34510259.0,
|
| 1862 |
+
"step": 1830
|
| 1863 |
+
},
|
| 1864 |
+
{
|
| 1865 |
+
"entropy": 0.8986345052719116,
|
| 1866 |
+
"epoch": 2.4764468371467023,
|
| 1867 |
+
"grad_norm": 0.772941529750824,
|
| 1868 |
+
"learning_rate": 8.971391120787397e-05,
|
| 1869 |
+
"loss": 0.0401084691286087,
|
| 1870 |
+
"mean_token_accuracy": 0.9841427087783814,
|
| 1871 |
+
"num_tokens": 34698669.0,
|
| 1872 |
+
"step": 1840
|
| 1873 |
+
},
|
| 1874 |
+
{
|
| 1875 |
+
"entropy": 0.8911370873451233,
|
| 1876 |
+
"epoch": 2.4899057873485866,
|
| 1877 |
+
"grad_norm": 0.895031213760376,
|
| 1878 |
+
"learning_rate": 8.957830374726042e-05,
|
| 1879 |
+
"loss": 0.03941032290458679,
|
| 1880 |
+
"mean_token_accuracy": 0.9841966688632965,
|
| 1881 |
+
"num_tokens": 34887160.0,
|
| 1882 |
+
"step": 1850
|
| 1883 |
+
},
|
| 1884 |
+
{
|
| 1885 |
+
"entropy": 0.8901963472366333,
|
| 1886 |
+
"epoch": 2.503364737550471,
|
| 1887 |
+
"grad_norm": 1.0677918195724487,
|
| 1888 |
+
"learning_rate": 8.944191214793028e-05,
|
| 1889 |
+
"loss": 0.03503885865211487,
|
| 1890 |
+
"mean_token_accuracy": 0.9856241464614868,
|
| 1891 |
+
"num_tokens": 35075891.0,
|
| 1892 |
+
"step": 1860
|
| 1893 |
+
},
|
| 1894 |
+
{
|
| 1895 |
+
"entropy": 0.8817630231380462,
|
| 1896 |
+
"epoch": 2.516823687752355,
|
| 1897 |
+
"grad_norm": 1.1200164556503296,
|
| 1898 |
+
"learning_rate": 8.930473911212e-05,
|
| 1899 |
+
"loss": 0.03878425657749176,
|
| 1900 |
+
"mean_token_accuracy": 0.9846492648124695,
|
| 1901 |
+
"num_tokens": 35264455.0,
|
| 1902 |
+
"step": 1870
|
| 1903 |
+
},
|
| 1904 |
+
{
|
| 1905 |
+
"entropy": 0.8897477686405182,
|
| 1906 |
+
"epoch": 2.5302826379542394,
|
| 1907 |
+
"grad_norm": 0.8058190941810608,
|
| 1908 |
+
"learning_rate": 8.916678735754809e-05,
|
| 1909 |
+
"loss": 0.041558006405830385,
|
| 1910 |
+
"mean_token_accuracy": 0.9830883860588073,
|
| 1911 |
+
"num_tokens": 35453251.0,
|
| 1912 |
+
"step": 1880
|
| 1913 |
+
},
|
| 1914 |
+
{
|
| 1915 |
+
"entropy": 0.8873181045055389,
|
| 1916 |
+
"epoch": 2.5437415881561236,
|
| 1917 |
+
"grad_norm": 0.7765992283821106,
|
| 1918 |
+
"learning_rate": 8.902805961736123e-05,
|
| 1919 |
+
"loss": 0.03555050492286682,
|
| 1920 |
+
"mean_token_accuracy": 0.9858225345611572,
|
| 1921 |
+
"num_tokens": 35641959.0,
|
| 1922 |
+
"step": 1890
|
| 1923 |
+
},
|
| 1924 |
+
{
|
| 1925 |
+
"entropy": 0.8782606959342957,
|
| 1926 |
+
"epoch": 2.557200538358008,
|
| 1927 |
+
"grad_norm": 0.8488866686820984,
|
| 1928 |
+
"learning_rate": 8.88885586400803e-05,
|
| 1929 |
+
"loss": 0.03606923818588257,
|
| 1930 |
+
"mean_token_accuracy": 0.9858632445335388,
|
| 1931 |
+
"num_tokens": 35829636.0,
|
| 1932 |
+
"step": 1900
|
| 1933 |
+
},
|
| 1934 |
+
{
|
| 1935 |
+
"entropy": 0.8869808673858642,
|
| 1936 |
+
"epoch": 2.570659488559892,
|
| 1937 |
+
"grad_norm": 1.1734739542007446,
|
| 1938 |
+
"learning_rate": 8.874828718954576e-05,
|
| 1939 |
+
"loss": 0.040956351161003116,
|
| 1940 |
+
"mean_token_accuracy": 0.9835374176502227,
|
| 1941 |
+
"num_tokens": 36017818.0,
|
| 1942 |
+
"step": 1910
|
| 1943 |
+
},
|
| 1944 |
+
{
|
| 1945 |
+
"entropy": 0.8850924432277679,
|
| 1946 |
+
"epoch": 2.5841184387617764,
|
| 1947 |
+
"grad_norm": 1.3584387302398682,
|
| 1948 |
+
"learning_rate": 8.86072480448629e-05,
|
| 1949 |
+
"loss": 0.042437011003494264,
|
| 1950 |
+
"mean_token_accuracy": 0.9826479077339172,
|
| 1951 |
+
"num_tokens": 36206505.0,
|
| 1952 |
+
"step": 1920
|
| 1953 |
+
},
|
| 1954 |
+
{
|
| 1955 |
+
"entropy": 0.8801687896251679,
|
| 1956 |
+
"epoch": 2.5975773889636606,
|
| 1957 |
+
"grad_norm": 1.2862240076065063,
|
| 1958 |
+
"learning_rate": 8.84654440003469e-05,
|
| 1959 |
+
"loss": 0.03880060315132141,
|
| 1960 |
+
"mean_token_accuracy": 0.9843404710292816,
|
| 1961 |
+
"num_tokens": 36395802.0,
|
| 1962 |
+
"step": 1930
|
| 1963 |
+
},
|
| 1964 |
+
{
|
| 1965 |
+
"entropy": 0.8752781748771667,
|
| 1966 |
+
"epoch": 2.611036339165545,
|
| 1967 |
+
"grad_norm": 0.7341249585151672,
|
| 1968 |
+
"learning_rate": 8.83228778654674e-05,
|
| 1969 |
+
"loss": 0.03776344656944275,
|
| 1970 |
+
"mean_token_accuracy": 0.9852877616882324,
|
| 1971 |
+
"num_tokens": 36584370.0,
|
| 1972 |
+
"step": 1940
|
| 1973 |
+
},
|
| 1974 |
+
{
|
| 1975 |
+
"entropy": 0.8759494423866272,
|
| 1976 |
+
"epoch": 2.624495289367429,
|
| 1977 |
+
"grad_norm": 0.9807276129722595,
|
| 1978 |
+
"learning_rate": 8.817955246479276e-05,
|
| 1979 |
+
"loss": 0.03780297338962555,
|
| 1980 |
+
"mean_token_accuracy": 0.9853227376937866,
|
| 1981 |
+
"num_tokens": 36772865.0,
|
| 1982 |
+
"step": 1950
|
| 1983 |
+
},
|
| 1984 |
+
{
|
| 1985 |
+
"entropy": 0.8753129065036773,
|
| 1986 |
+
"epoch": 2.6379542395693134,
|
| 1987 |
+
"grad_norm": 1.1391628980636597,
|
| 1988 |
+
"learning_rate": 8.803547063793422e-05,
|
| 1989 |
+
"loss": 0.03953765034675598,
|
| 1990 |
+
"mean_token_accuracy": 0.9839197635650635,
|
| 1991 |
+
"num_tokens": 36961462.0,
|
| 1992 |
+
"step": 1960
|
| 1993 |
+
},
|
| 1994 |
+
{
|
| 1995 |
+
"entropy": 0.8771899223327637,
|
| 1996 |
+
"epoch": 2.6514131897711977,
|
| 1997 |
+
"grad_norm": 1.0865391492843628,
|
| 1998 |
+
"learning_rate": 8.789063523948958e-05,
|
| 1999 |
+
"loss": 0.03856399655342102,
|
| 2000 |
+
"mean_token_accuracy": 0.9848688066005706,
|
| 2001 |
+
"num_tokens": 37150486.0,
|
| 2002 |
+
"step": 1970
|
| 2003 |
+
},
|
| 2004 |
+
{
|
| 2005 |
+
"entropy": 0.8774881184101104,
|
| 2006 |
+
"epoch": 2.664872139973082,
|
| 2007 |
+
"grad_norm": 0.8561595678329468,
|
| 2008 |
+
"learning_rate": 8.774504913898663e-05,
|
| 2009 |
+
"loss": 0.03795175850391388,
|
| 2010 |
+
"mean_token_accuracy": 0.9849309325218201,
|
| 2011 |
+
"num_tokens": 37338890.0,
|
| 2012 |
+
"step": 1980
|
| 2013 |
+
},
|
| 2014 |
+
{
|
| 2015 |
+
"entropy": 0.8841517448425293,
|
| 2016 |
+
"epoch": 2.678331090174966,
|
| 2017 |
+
"grad_norm": 0.9458399415016174,
|
| 2018 |
+
"learning_rate": 8.75987152208264e-05,
|
| 2019 |
+
"loss": 0.03860213160514832,
|
| 2020 |
+
"mean_token_accuracy": 0.9842230796813964,
|
| 2021 |
+
"num_tokens": 37526886.0,
|
| 2022 |
+
"step": 1990
|
| 2023 |
+
},
|
| 2024 |
+
{
|
| 2025 |
+
"entropy": 0.8809043228626251,
|
| 2026 |
+
"epoch": 2.6917900403768504,
|
| 2027 |
+
"grad_norm": 0.9360871315002441,
|
| 2028 |
+
"learning_rate": 8.745163638422583e-05,
|
| 2029 |
+
"loss": 0.03709094822406769,
|
| 2030 |
+
"mean_token_accuracy": 0.9855118036270142,
|
| 2031 |
+
"num_tokens": 37715408.0,
|
| 2032 |
+
"step": 2000
|
| 2033 |
+
},
|
| 2034 |
+
{
|
| 2035 |
+
"entropy": 0.8805519282817841,
|
| 2036 |
+
"epoch": 2.7052489905787347,
|
| 2037 |
+
"grad_norm": 0.8852124214172363,
|
| 2038 |
+
"learning_rate": 8.730381554316051e-05,
|
| 2039 |
+
"loss": 0.03869341611862183,
|
| 2040 |
+
"mean_token_accuracy": 0.9846724212169647,
|
| 2041 |
+
"num_tokens": 37904328.0,
|
| 2042 |
+
"step": 2010
|
| 2043 |
+
},
|
| 2044 |
+
{
|
| 2045 |
+
"entropy": 0.8796228408813477,
|
| 2046 |
+
"epoch": 2.718707940780619,
|
| 2047 |
+
"grad_norm": 1.189297080039978,
|
| 2048 |
+
"learning_rate": 8.715525562630687e-05,
|
| 2049 |
+
"loss": 0.03675769567489624,
|
| 2050 |
+
"mean_token_accuracy": 0.9854080140590668,
|
| 2051 |
+
"num_tokens": 38092776.0,
|
| 2052 |
+
"step": 2020
|
| 2053 |
+
},
|
| 2054 |
+
{
|
| 2055 |
+
"entropy": 0.8722020089626312,
|
| 2056 |
+
"epoch": 2.732166890982503,
|
| 2057 |
+
"grad_norm": 0.7027947306632996,
|
| 2058 |
+
"learning_rate": 8.700595957698411e-05,
|
| 2059 |
+
"loss": 0.03889244794845581,
|
| 2060 |
+
"mean_token_accuracy": 0.984558242559433,
|
| 2061 |
+
"num_tokens": 38282221.0,
|
| 2062 |
+
"step": 2030
|
| 2063 |
+
},
|
| 2064 |
+
{
|
| 2065 |
+
"entropy": 0.8746632814407349,
|
| 2066 |
+
"epoch": 2.7456258411843875,
|
| 2067 |
+
"grad_norm": 0.9799376726150513,
|
| 2068 |
+
"learning_rate": 8.685593035309598e-05,
|
| 2069 |
+
"loss": 0.03815680146217346,
|
| 2070 |
+
"mean_token_accuracy": 0.9845012128353119,
|
| 2071 |
+
"num_tokens": 38470633.0,
|
| 2072 |
+
"step": 2040
|
| 2073 |
+
},
|
| 2074 |
+
{
|
| 2075 |
+
"entropy": 0.8766567528247833,
|
| 2076 |
+
"epoch": 2.7590847913862717,
|
| 2077 |
+
"grad_norm": 0.850459098815918,
|
| 2078 |
+
"learning_rate": 8.670517092707213e-05,
|
| 2079 |
+
"loss": 0.039029371738433835,
|
| 2080 |
+
"mean_token_accuracy": 0.9845906794071198,
|
| 2081 |
+
"num_tokens": 38659048.0,
|
| 2082 |
+
"step": 2050
|
| 2083 |
+
},
|
| 2084 |
+
{
|
| 2085 |
+
"entropy": 0.8778688013553619,
|
| 2086 |
+
"epoch": 2.772543741588156,
|
| 2087 |
+
"grad_norm": 0.8540134429931641,
|
| 2088 |
+
"learning_rate": 8.655368428580919e-05,
|
| 2089 |
+
"loss": 0.039645448327064514,
|
| 2090 |
+
"mean_token_accuracy": 0.9840566098690033,
|
| 2091 |
+
"num_tokens": 38847370.0,
|
| 2092 |
+
"step": 2060
|
| 2093 |
+
},
|
| 2094 |
+
{
|
| 2095 |
+
"entropy": 0.8758600771427154,
|
| 2096 |
+
"epoch": 2.7860026917900402,
|
| 2097 |
+
"grad_norm": 0.8036021590232849,
|
| 2098 |
+
"learning_rate": 8.640147343061165e-05,
|
| 2099 |
+
"loss": 0.038226932287216187,
|
| 2100 |
+
"mean_token_accuracy": 0.9845647215843201,
|
| 2101 |
+
"num_tokens": 39036040.0,
|
| 2102 |
+
"step": 2070
|
| 2103 |
+
},
|
| 2104 |
+
{
|
| 2105 |
+
"entropy": 0.8652268946170807,
|
| 2106 |
+
"epoch": 2.7994616419919245,
|
| 2107 |
+
"grad_norm": 0.8526738286018372,
|
| 2108 |
+
"learning_rate": 8.624854137713234e-05,
|
| 2109 |
+
"loss": 0.03798363208770752,
|
| 2110 |
+
"mean_token_accuracy": 0.9845202267169952,
|
| 2111 |
+
"num_tokens": 39224695.0,
|
| 2112 |
+
"step": 2080
|
| 2113 |
+
},
|
| 2114 |
+
{
|
| 2115 |
+
"entropy": 0.8707200348377228,
|
| 2116 |
+
"epoch": 2.8129205921938087,
|
| 2117 |
+
"grad_norm": 0.9852389097213745,
|
| 2118 |
+
"learning_rate": 8.609489115531278e-05,
|
| 2119 |
+
"loss": 0.037227436900138855,
|
| 2120 |
+
"mean_token_accuracy": 0.9852050960063934,
|
| 2121 |
+
"num_tokens": 39413360.0,
|
| 2122 |
+
"step": 2090
|
| 2123 |
+
},
|
| 2124 |
+
{
|
| 2125 |
+
"entropy": 0.8711447060108185,
|
| 2126 |
+
"epoch": 2.826379542395693,
|
| 2127 |
+
"grad_norm": 1.228277325630188,
|
| 2128 |
+
"learning_rate": 8.594052580932301e-05,
|
| 2129 |
+
"loss": 0.03698050379753113,
|
| 2130 |
+
"mean_token_accuracy": 0.9852443158626556,
|
| 2131 |
+
"num_tokens": 39602544.0,
|
| 2132 |
+
"step": 2100
|
| 2133 |
+
},
|
| 2134 |
+
{
|
| 2135 |
+
"entropy": 0.8742912471294403,
|
| 2136 |
+
"epoch": 2.8398384925975773,
|
| 2137 |
+
"grad_norm": 0.8440544605255127,
|
| 2138 |
+
"learning_rate": 8.578544839750141e-05,
|
| 2139 |
+
"loss": 0.03757670521736145,
|
| 2140 |
+
"mean_token_accuracy": 0.9848618268966675,
|
| 2141 |
+
"num_tokens": 39791340.0,
|
| 2142 |
+
"step": 2110
|
| 2143 |
+
},
|
| 2144 |
+
{
|
| 2145 |
+
"entropy": 0.8801726162433624,
|
| 2146 |
+
"epoch": 2.8532974427994615,
|
| 2147 |
+
"grad_norm": 1.0955252647399902,
|
| 2148 |
+
"learning_rate": 8.562966199229399e-05,
|
| 2149 |
+
"loss": 0.040004149079322815,
|
| 2150 |
+
"mean_token_accuracy": 0.9841345012187958,
|
| 2151 |
+
"num_tokens": 39980212.0,
|
| 2152 |
+
"step": 2120
|
| 2153 |
+
},
|
| 2154 |
+
{
|
| 2155 |
+
"entropy": 0.8931492984294891,
|
| 2156 |
+
"epoch": 2.8667563930013458,
|
| 2157 |
+
"grad_norm": 0.5722652673721313,
|
| 2158 |
+
"learning_rate": 8.547316968019363e-05,
|
| 2159 |
+
"loss": 0.038096648454666135,
|
| 2160 |
+
"mean_token_accuracy": 0.9849136590957641,
|
| 2161 |
+
"num_tokens": 40169122.0,
|
| 2162 |
+
"step": 2130
|
| 2163 |
+
},
|
| 2164 |
+
{
|
| 2165 |
+
"entropy": 0.8767493844032288,
|
| 2166 |
+
"epoch": 2.88021534320323,
|
| 2167 |
+
"grad_norm": 0.7663730382919312,
|
| 2168 |
+
"learning_rate": 8.531597456167885e-05,
|
| 2169 |
+
"loss": 0.03729096055030823,
|
| 2170 |
+
"mean_token_accuracy": 0.985169780254364,
|
| 2171 |
+
"num_tokens": 40357678.0,
|
| 2172 |
+
"step": 2140
|
| 2173 |
+
},
|
| 2174 |
+
{
|
| 2175 |
+
"entropy": 0.8770561516284943,
|
| 2176 |
+
"epoch": 2.8936742934051143,
|
| 2177 |
+
"grad_norm": 1.1505672931671143,
|
| 2178 |
+
"learning_rate": 8.515807975115239e-05,
|
| 2179 |
+
"loss": 0.03984796404838562,
|
| 2180 |
+
"mean_token_accuracy": 0.9838845670223236,
|
| 2181 |
+
"num_tokens": 40546892.0,
|
| 2182 |
+
"step": 2150
|
| 2183 |
+
},
|
| 2184 |
+
{
|
| 2185 |
+
"entropy": 0.8789129912853241,
|
| 2186 |
+
"epoch": 2.9071332436069985,
|
| 2187 |
+
"grad_norm": 0.8355761766433716,
|
| 2188 |
+
"learning_rate": 8.499948837687959e-05,
|
| 2189 |
+
"loss": 0.03769223690032959,
|
| 2190 |
+
"mean_token_accuracy": 0.9847559213638306,
|
| 2191 |
+
"num_tokens": 40736109.0,
|
| 2192 |
+
"step": 2160
|
| 2193 |
+
},
|
| 2194 |
+
{
|
| 2195 |
+
"entropy": 0.8781779289245606,
|
| 2196 |
+
"epoch": 2.920592193808883,
|
| 2197 |
+
"grad_norm": 0.9103918075561523,
|
| 2198 |
+
"learning_rate": 8.484020358092625e-05,
|
| 2199 |
+
"loss": 0.038262826204299924,
|
| 2200 |
+
"mean_token_accuracy": 0.984741848707199,
|
| 2201 |
+
"num_tokens": 40924341.0,
|
| 2202 |
+
"step": 2170
|
| 2203 |
+
},
|
| 2204 |
+
{
|
| 2205 |
+
"entropy": 0.8552807629108429,
|
| 2206 |
+
"epoch": 2.934051144010767,
|
| 2207 |
+
"grad_norm": 0.8338510990142822,
|
| 2208 |
+
"learning_rate": 8.468022851909657e-05,
|
| 2209 |
+
"loss": 0.0355743408203125,
|
| 2210 |
+
"mean_token_accuracy": 0.9855036079883576,
|
| 2211 |
+
"num_tokens": 41113849.0,
|
| 2212 |
+
"step": 2180
|
| 2213 |
+
},
|
| 2214 |
+
{
|
| 2215 |
+
"entropy": 0.8705591142177582,
|
| 2216 |
+
"epoch": 2.9475100942126513,
|
| 2217 |
+
"grad_norm": 0.8334057927131653,
|
| 2218 |
+
"learning_rate": 8.451956636087046e-05,
|
| 2219 |
+
"loss": 0.037476515769958495,
|
| 2220 |
+
"mean_token_accuracy": 0.9854551255702972,
|
| 2221 |
+
"num_tokens": 41303130.0,
|
| 2222 |
+
"step": 2190
|
| 2223 |
+
},
|
| 2224 |
+
{
|
| 2225 |
+
"entropy": 0.8809274792671203,
|
| 2226 |
+
"epoch": 2.9609690444145356,
|
| 2227 |
+
"grad_norm": 0.9424103498458862,
|
| 2228 |
+
"learning_rate": 8.435822028934087e-05,
|
| 2229 |
+
"loss": 0.03624279499053955,
|
| 2230 |
+
"mean_token_accuracy": 0.9856135487556458,
|
| 2231 |
+
"num_tokens": 41491750.0,
|
| 2232 |
+
"step": 2200
|
| 2233 |
+
},
|
| 2234 |
+
{
|
| 2235 |
+
"entropy": 0.8818133771419525,
|
| 2236 |
+
"epoch": 2.97442799461642,
|
| 2237 |
+
"grad_norm": 1.04243004322052,
|
| 2238 |
+
"learning_rate": 8.41961935011506e-05,
|
| 2239 |
+
"loss": 0.039132320880889894,
|
| 2240 |
+
"mean_token_accuracy": 0.984746390581131,
|
| 2241 |
+
"num_tokens": 41680493.0,
|
| 2242 |
+
"step": 2210
|
| 2243 |
+
},
|
| 2244 |
+
{
|
| 2245 |
+
"entropy": 0.8838395297527313,
|
| 2246 |
+
"epoch": 2.987886944818304,
|
| 2247 |
+
"grad_norm": 0.8650784492492676,
|
| 2248 |
+
"learning_rate": 8.403348920642911e-05,
|
| 2249 |
+
"loss": 0.03822052478790283,
|
| 2250 |
+
"mean_token_accuracy": 0.9852108955383301,
|
| 2251 |
+
"num_tokens": 41868378.0,
|
| 2252 |
+
"step": 2220
|
| 2253 |
+
},
|
| 2254 |
+
{
|
| 2255 |
+
"epoch": 3.0,
|
| 2256 |
+
"eval_entropy": 0.8800126549544608,
|
| 2257 |
+
"eval_loss": 0.05468416586518288,
|
| 2258 |
+
"eval_mean_token_accuracy": 0.9781015617832257,
|
| 2259 |
+
"eval_num_tokens": 42038037.0,
|
| 2260 |
+
"eval_runtime": 24.4825,
|
| 2261 |
+
"eval_samples_per_second": 204.228,
|
| 2262 |
+
"eval_steps_per_second": 6.413,
|
| 2263 |
+
"step": 2229
|
| 2264 |
+
},
|
| 2265 |
+
{
|
| 2266 |
+
"entropy": 0.8773060619831086,
|
| 2267 |
+
"epoch": 3.0013458950201883,
|
| 2268 |
+
"grad_norm": 0.7845072150230408,
|
| 2269 |
+
"learning_rate": 8.387011062872883e-05,
|
| 2270 |
+
"loss": 0.0365300714969635,
|
| 2271 |
+
"mean_token_accuracy": 0.985853761434555,
|
| 2272 |
+
"num_tokens": 42056717.0,
|
| 2273 |
+
"step": 2230
|
| 2274 |
+
},
|
| 2275 |
+
{
|
| 2276 |
+
"entropy": 0.8720550239086151,
|
| 2277 |
+
"epoch": 3.0148048452220726,
|
| 2278 |
+
"grad_norm": 0.9917275905609131,
|
| 2279 |
+
"learning_rate": 8.370606100496128e-05,
|
| 2280 |
+
"loss": 0.030071893334388734,
|
| 2281 |
+
"mean_token_accuracy": 0.9890478909015655,
|
| 2282 |
+
"num_tokens": 42245058.0,
|
| 2283 |
+
"step": 2240
|
| 2284 |
+
},
|
| 2285 |
+
{
|
| 2286 |
+
"entropy": 0.8489451467990875,
|
| 2287 |
+
"epoch": 3.028263795423957,
|
| 2288 |
+
"grad_norm": 0.9414294362068176,
|
| 2289 |
+
"learning_rate": 8.354134358533301e-05,
|
| 2290 |
+
"loss": 0.027054613828659056,
|
| 2291 |
+
"mean_token_accuracy": 0.9894806027412415,
|
| 2292 |
+
"num_tokens": 42433468.0,
|
| 2293 |
+
"step": 2250
|
| 2294 |
+
},
|
| 2295 |
+
{
|
| 2296 |
+
"entropy": 0.848755830526352,
|
| 2297 |
+
"epoch": 3.041722745625841,
|
| 2298 |
+
"grad_norm": 0.7276235818862915,
|
| 2299 |
+
"learning_rate": 8.337596163328114e-05,
|
| 2300 |
+
"loss": 0.026897600293159483,
|
| 2301 |
+
"mean_token_accuracy": 0.9893308103084564,
|
| 2302 |
+
"num_tokens": 42621657.0,
|
| 2303 |
+
"step": 2260
|
| 2304 |
+
},
|
| 2305 |
+
{
|
| 2306 |
+
"entropy": 0.8402929604053497,
|
| 2307 |
+
"epoch": 3.0551816958277254,
|
| 2308 |
+
"grad_norm": 0.9455838799476624,
|
| 2309 |
+
"learning_rate": 8.320991842540875e-05,
|
| 2310 |
+
"loss": 0.027918827533721925,
|
| 2311 |
+
"mean_token_accuracy": 0.9888385117053986,
|
| 2312 |
+
"num_tokens": 42810533.0,
|
| 2313 |
+
"step": 2270
|
| 2314 |
+
},
|
| 2315 |
+
{
|
| 2316 |
+
"entropy": 0.8434606611728668,
|
| 2317 |
+
"epoch": 3.0686406460296096,
|
| 2318 |
+
"grad_norm": 0.7503429651260376,
|
| 2319 |
+
"learning_rate": 8.304321725141995e-05,
|
| 2320 |
+
"loss": 0.025769710540771484,
|
| 2321 |
+
"mean_token_accuracy": 0.989881956577301,
|
| 2322 |
+
"num_tokens": 42999085.0,
|
| 2323 |
+
"step": 2280
|
| 2324 |
+
},
|
| 2325 |
+
{
|
| 2326 |
+
"entropy": 0.8459890782833099,
|
| 2327 |
+
"epoch": 3.082099596231494,
|
| 2328 |
+
"grad_norm": 0.736440896987915,
|
| 2329 |
+
"learning_rate": 8.287586141405464e-05,
|
| 2330 |
+
"loss": 0.028781753778457642,
|
| 2331 |
+
"mean_token_accuracy": 0.9882656812667847,
|
| 2332 |
+
"num_tokens": 43188222.0,
|
| 2333 |
+
"step": 2290
|
| 2334 |
+
},
|
| 2335 |
+
{
|
| 2336 |
+
"entropy": 0.8493306159973144,
|
| 2337 |
+
"epoch": 3.095558546433378,
|
| 2338 |
+
"grad_norm": 0.9577816128730774,
|
| 2339 |
+
"learning_rate": 8.27078542290232e-05,
|
| 2340 |
+
"loss": 0.02689719796180725,
|
| 2341 |
+
"mean_token_accuracy": 0.9889744818210602,
|
| 2342 |
+
"num_tokens": 43376648.0,
|
| 2343 |
+
"step": 2300
|
| 2344 |
+
},
|
| 2345 |
+
{
|
| 2346 |
+
"entropy": 0.8512665331363678,
|
| 2347 |
+
"epoch": 3.1090174966352624,
|
| 2348 |
+
"grad_norm": 0.9631588459014893,
|
| 2349 |
+
"learning_rate": 8.253919902494071e-05,
|
| 2350 |
+
"loss": 0.031439167261123654,
|
| 2351 |
+
"mean_token_accuracy": 0.9874942421913147,
|
| 2352 |
+
"num_tokens": 43564769.0,
|
| 2353 |
+
"step": 2310
|
| 2354 |
+
},
|
| 2355 |
+
{
|
| 2356 |
+
"entropy": 0.8519513130187988,
|
| 2357 |
+
"epoch": 3.1224764468371466,
|
| 2358 |
+
"grad_norm": 1.1011922359466553,
|
| 2359 |
+
"learning_rate": 8.236989914326101e-05,
|
| 2360 |
+
"loss": 0.02696958780288696,
|
| 2361 |
+
"mean_token_accuracy": 0.9900951981544495,
|
| 2362 |
+
"num_tokens": 43753362.0,
|
| 2363 |
+
"step": 2320
|
| 2364 |
+
},
|
| 2365 |
+
{
|
| 2366 |
+
"entropy": 0.8507618844509125,
|
| 2367 |
+
"epoch": 3.135935397039031,
|
| 2368 |
+
"grad_norm": 0.9351623058319092,
|
| 2369 |
+
"learning_rate": 8.21999579382105e-05,
|
| 2370 |
+
"loss": 0.026315575838088988,
|
| 2371 |
+
"mean_token_accuracy": 0.989511913061142,
|
| 2372 |
+
"num_tokens": 43942063.0,
|
| 2373 |
+
"step": 2330
|
| 2374 |
+
},
|
| 2375 |
+
{
|
| 2376 |
+
"entropy": 0.8506478369235992,
|
| 2377 |
+
"epoch": 3.149394347240915,
|
| 2378 |
+
"grad_norm": 1.096564769744873,
|
| 2379 |
+
"learning_rate": 8.202937877672175e-05,
|
| 2380 |
+
"loss": 0.029049152135849,
|
| 2381 |
+
"mean_token_accuracy": 0.9886228442192078,
|
| 2382 |
+
"num_tokens": 44130381.0,
|
| 2383 |
+
"step": 2340
|
| 2384 |
+
},
|
| 2385 |
+
{
|
| 2386 |
+
"entropy": 0.8624941289424897,
|
| 2387 |
+
"epoch": 3.1628532974427994,
|
| 2388 |
+
"grad_norm": 0.7859402298927307,
|
| 2389 |
+
"learning_rate": 8.185816503836665e-05,
|
| 2390 |
+
"loss": 0.027744990587234498,
|
| 2391 |
+
"mean_token_accuracy": 0.9890527307987214,
|
| 2392 |
+
"num_tokens": 44319243.0,
|
| 2393 |
+
"step": 2350
|
| 2394 |
+
},
|
| 2395 |
+
{
|
| 2396 |
+
"entropy": 0.8627866744995117,
|
| 2397 |
+
"epoch": 3.1763122476446837,
|
| 2398 |
+
"grad_norm": 0.7764605283737183,
|
| 2399 |
+
"learning_rate": 8.168632011528961e-05,
|
| 2400 |
+
"loss": 0.02571650445461273,
|
| 2401 |
+
"mean_token_accuracy": 0.9903442323207855,
|
| 2402 |
+
"num_tokens": 44507698.0,
|
| 2403 |
+
"step": 2360
|
| 2404 |
+
},
|
| 2405 |
+
{
|
| 2406 |
+
"entropy": 0.8566473722457886,
|
| 2407 |
+
"epoch": 3.189771197846568,
|
| 2408 |
+
"grad_norm": 0.8182396292686462,
|
| 2409 |
+
"learning_rate": 8.15138474121403e-05,
|
| 2410 |
+
"loss": 0.025625643134117127,
|
| 2411 |
+
"mean_token_accuracy": 0.9897150516510009,
|
| 2412 |
+
"num_tokens": 44695954.0,
|
| 2413 |
+
"step": 2370
|
| 2414 |
+
},
|
| 2415 |
+
{
|
| 2416 |
+
"entropy": 0.8555088877677918,
|
| 2417 |
+
"epoch": 3.203230148048452,
|
| 2418 |
+
"grad_norm": 1.0277098417282104,
|
| 2419 |
+
"learning_rate": 8.134075034600609e-05,
|
| 2420 |
+
"loss": 0.028235083818435668,
|
| 2421 |
+
"mean_token_accuracy": 0.9894341349601745,
|
| 2422 |
+
"num_tokens": 44884558.0,
|
| 2423 |
+
"step": 2380
|
| 2424 |
+
},
|
| 2425 |
+
{
|
| 2426 |
+
"entropy": 0.8562702238559723,
|
| 2427 |
+
"epoch": 3.2166890982503364,
|
| 2428 |
+
"grad_norm": 1.0676493644714355,
|
| 2429 |
+
"learning_rate": 8.116703234634453e-05,
|
| 2430 |
+
"loss": 0.027713948488235475,
|
| 2431 |
+
"mean_token_accuracy": 0.9891053259372711,
|
| 2432 |
+
"num_tokens": 45073381.0,
|
| 2433 |
+
"step": 2390
|
| 2434 |
+
},
|
| 2435 |
+
{
|
| 2436 |
+
"entropy": 0.8520576059818268,
|
| 2437 |
+
"epoch": 3.2301480484522207,
|
| 2438 |
+
"grad_norm": 0.7926117181777954,
|
| 2439 |
+
"learning_rate": 8.099269685491528e-05,
|
| 2440 |
+
"loss": 0.028936928510665892,
|
| 2441 |
+
"mean_token_accuracy": 0.988807988166809,
|
| 2442 |
+
"num_tokens": 45262350.0,
|
| 2443 |
+
"step": 2400
|
| 2444 |
+
},
|
| 2445 |
+
{
|
| 2446 |
+
"entropy": 0.860496312379837,
|
| 2447 |
+
"epoch": 3.243606998654105,
|
| 2448 |
+
"grad_norm": 1.1108510494232178,
|
| 2449 |
+
"learning_rate": 8.081774732571196e-05,
|
| 2450 |
+
"loss": 0.030533093214035033,
|
| 2451 |
+
"mean_token_accuracy": 0.9882748067378998,
|
| 2452 |
+
"num_tokens": 45450782.0,
|
| 2453 |
+
"step": 2410
|
| 2454 |
+
},
|
| 2455 |
+
{
|
| 2456 |
+
"entropy": 0.872324675321579,
|
| 2457 |
+
"epoch": 3.257065948855989,
|
| 2458 |
+
"grad_norm": 1.3057194948196411,
|
| 2459 |
+
"learning_rate": 8.06421872248937e-05,
|
| 2460 |
+
"loss": 0.032421305775642395,
|
| 2461 |
+
"mean_token_accuracy": 0.9879753351211548,
|
| 2462 |
+
"num_tokens": 45639122.0,
|
| 2463 |
+
"step": 2420
|
| 2464 |
+
},
|
| 2465 |
+
{
|
| 2466 |
+
"entropy": 0.8778823137283325,
|
| 2467 |
+
"epoch": 3.2705248990578735,
|
| 2468 |
+
"grad_norm": 1.289680004119873,
|
| 2469 |
+
"learning_rate": 8.046602003071648e-05,
|
| 2470 |
+
"loss": 0.03096393346786499,
|
| 2471 |
+
"mean_token_accuracy": 0.9883370697498322,
|
| 2472 |
+
"num_tokens": 45827730.0,
|
| 2473 |
+
"step": 2430
|
| 2474 |
+
},
|
| 2475 |
+
{
|
| 2476 |
+
"entropy": 0.8627406179904937,
|
| 2477 |
+
"epoch": 3.2839838492597577,
|
| 2478 |
+
"grad_norm": 0.8361398577690125,
|
| 2479 |
+
"learning_rate": 8.028924923346426e-05,
|
| 2480 |
+
"loss": 0.02957139313220978,
|
| 2481 |
+
"mean_token_accuracy": 0.9884674072265625,
|
| 2482 |
+
"num_tokens": 46016274.0,
|
| 2483 |
+
"step": 2440
|
| 2484 |
+
},
|
| 2485 |
+
{
|
| 2486 |
+
"entropy": 0.8584554970264435,
|
| 2487 |
+
"epoch": 3.297442799461642,
|
| 2488 |
+
"grad_norm": 0.9330723881721497,
|
| 2489 |
+
"learning_rate": 8.011187833537972e-05,
|
| 2490 |
+
"loss": 0.029568272829055785,
|
| 2491 |
+
"mean_token_accuracy": 0.9882686555385589,
|
| 2492 |
+
"num_tokens": 46204679.0,
|
| 2493 |
+
"step": 2450
|
| 2494 |
+
},
|
| 2495 |
+
{
|
| 2496 |
+
"entropy": 0.8515178024768829,
|
| 2497 |
+
"epoch": 3.3109017496635262,
|
| 2498 |
+
"grad_norm": 1.0296216011047363,
|
| 2499 |
+
"learning_rate": 7.993391085059502e-05,
|
| 2500 |
+
"loss": 0.027788180112838744,
|
| 2501 |
+
"mean_token_accuracy": 0.9888734877109527,
|
| 2502 |
+
"num_tokens": 46393989.0,
|
| 2503 |
+
"step": 2460
|
| 2504 |
+
},
|
| 2505 |
+
{
|
| 2506 |
+
"entropy": 0.8488850116729736,
|
| 2507 |
+
"epoch": 3.3243606998654105,
|
| 2508 |
+
"grad_norm": 1.1329699754714966,
|
| 2509 |
+
"learning_rate": 7.975535030506203e-05,
|
| 2510 |
+
"loss": 0.028057461977005003,
|
| 2511 |
+
"mean_token_accuracy": 0.9895590543746948,
|
| 2512 |
+
"num_tokens": 46582790.0,
|
| 2513 |
+
"step": 2470
|
| 2514 |
+
},
|
| 2515 |
+
{
|
| 2516 |
+
"entropy": 0.849625188112259,
|
| 2517 |
+
"epoch": 3.3378196500672948,
|
| 2518 |
+
"grad_norm": 0.9267219305038452,
|
| 2519 |
+
"learning_rate": 7.957620023648256e-05,
|
| 2520 |
+
"loss": 0.02802973985671997,
|
| 2521 |
+
"mean_token_accuracy": 0.988851535320282,
|
| 2522 |
+
"num_tokens": 46771138.0,
|
| 2523 |
+
"step": 2480
|
| 2524 |
+
},
|
| 2525 |
+
{
|
| 2526 |
+
"entropy": 0.854446280002594,
|
| 2527 |
+
"epoch": 3.351278600269179,
|
| 2528 |
+
"grad_norm": 0.8713932037353516,
|
| 2529 |
+
"learning_rate": 7.939646419423826e-05,
|
| 2530 |
+
"loss": 0.030220019817352294,
|
| 2531 |
+
"mean_token_accuracy": 0.9882843673229218,
|
| 2532 |
+
"num_tokens": 46960054.0,
|
| 2533 |
+
"step": 2490
|
| 2534 |
+
},
|
| 2535 |
+
{
|
| 2536 |
+
"entropy": 0.8599806547164917,
|
| 2537 |
+
"epoch": 3.3647375504710633,
|
| 2538 |
+
"grad_norm": 0.675019383430481,
|
| 2539 |
+
"learning_rate": 7.92161457393203e-05,
|
| 2540 |
+
"loss": 0.02958865463733673,
|
| 2541 |
+
"mean_token_accuracy": 0.9880296885967255,
|
| 2542 |
+
"num_tokens": 47149567.0,
|
| 2543 |
+
"step": 2500
|
| 2544 |
+
},
|
| 2545 |
+
{
|
| 2546 |
+
"entropy": 0.8549504458904267,
|
| 2547 |
+
"epoch": 3.3781965006729475,
|
| 2548 |
+
"grad_norm": 1.2176353931427002,
|
| 2549 |
+
"learning_rate": 7.903524844425878e-05,
|
| 2550 |
+
"loss": 0.027722162008285523,
|
| 2551 |
+
"mean_token_accuracy": 0.9890090465545655,
|
| 2552 |
+
"num_tokens": 47338060.0,
|
| 2553 |
+
"step": 2510
|
| 2554 |
+
},
|
| 2555 |
+
{
|
| 2556 |
+
"entropy": 0.8552233815193176,
|
| 2557 |
+
"epoch": 3.391655450874832,
|
| 2558 |
+
"grad_norm": 0.9571717977523804,
|
| 2559 |
+
"learning_rate": 7.885377589305197e-05,
|
| 2560 |
+
"loss": 0.028924965858459474,
|
| 2561 |
+
"mean_token_accuracy": 0.9884298503398895,
|
| 2562 |
+
"num_tokens": 47525895.0,
|
| 2563 |
+
"step": 2520
|
| 2564 |
+
},
|
| 2565 |
+
{
|
| 2566 |
+
"entropy": 0.8521630108356476,
|
| 2567 |
+
"epoch": 3.405114401076716,
|
| 2568 |
+
"grad_norm": 0.965713620185852,
|
| 2569 |
+
"learning_rate": 7.867173168109534e-05,
|
| 2570 |
+
"loss": 0.030511701107025148,
|
| 2571 |
+
"mean_token_accuracy": 0.9881398677825928,
|
| 2572 |
+
"num_tokens": 47714524.0,
|
| 2573 |
+
"step": 2530
|
| 2574 |
+
},
|
| 2575 |
+
{
|
| 2576 |
+
"entropy": 0.8537400126457214,
|
| 2577 |
+
"epoch": 3.4185733512786003,
|
| 2578 |
+
"grad_norm": 0.9005307555198669,
|
| 2579 |
+
"learning_rate": 7.84891194151103e-05,
|
| 2580 |
+
"loss": 0.030432754755020143,
|
| 2581 |
+
"mean_token_accuracy": 0.9876708447933197,
|
| 2582 |
+
"num_tokens": 47903188.0,
|
| 2583 |
+
"step": 2540
|
| 2584 |
+
},
|
| 2585 |
+
{
|
| 2586 |
+
"entropy": 0.8596058666706086,
|
| 2587 |
+
"epoch": 3.4320323014804845,
|
| 2588 |
+
"grad_norm": 0.8159075379371643,
|
| 2589 |
+
"learning_rate": 7.830594271307267e-05,
|
| 2590 |
+
"loss": 0.027927806973457335,
|
| 2591 |
+
"mean_token_accuracy": 0.9889210939407349,
|
| 2592 |
+
"num_tokens": 48091334.0,
|
| 2593 |
+
"step": 2550
|
| 2594 |
+
},
|
| 2595 |
+
{
|
| 2596 |
+
"entropy": 0.8482735753059387,
|
| 2597 |
+
"epoch": 3.445491251682369,
|
| 2598 |
+
"grad_norm": 1.0411661863327026,
|
| 2599 |
+
"learning_rate": 7.812220520414115e-05,
|
| 2600 |
+
"loss": 0.03003154993057251,
|
| 2601 |
+
"mean_token_accuracy": 0.9882730603218078,
|
| 2602 |
+
"num_tokens": 48279622.0,
|
| 2603 |
+
"step": 2560
|
| 2604 |
+
},
|
| 2605 |
+
{
|
| 2606 |
+
"entropy": 0.8466426789760589,
|
| 2607 |
+
"epoch": 3.458950201884253,
|
| 2608 |
+
"grad_norm": 1.189595341682434,
|
| 2609 |
+
"learning_rate": 7.793791052858528e-05,
|
| 2610 |
+
"loss": 0.03237656056880951,
|
| 2611 |
+
"mean_token_accuracy": 0.9869072616100312,
|
| 2612 |
+
"num_tokens": 48467527.0,
|
| 2613 |
+
"step": 2570
|
| 2614 |
+
},
|
| 2615 |
+
{
|
| 2616 |
+
"entropy": 0.8545588493347168,
|
| 2617 |
+
"epoch": 3.4724091520861373,
|
| 2618 |
+
"grad_norm": 1.0700056552886963,
|
| 2619 |
+
"learning_rate": 7.775306233771343e-05,
|
| 2620 |
+
"loss": 0.0306060791015625,
|
| 2621 |
+
"mean_token_accuracy": 0.9880664825439454,
|
| 2622 |
+
"num_tokens": 48656151.0,
|
| 2623 |
+
"step": 2580
|
| 2624 |
+
},
|
| 2625 |
+
{
|
| 2626 |
+
"entropy": 0.8503433585166931,
|
| 2627 |
+
"epoch": 3.4858681022880216,
|
| 2628 |
+
"grad_norm": 0.7099478244781494,
|
| 2629 |
+
"learning_rate": 7.756766429380033e-05,
|
| 2630 |
+
"loss": 0.02984013557434082,
|
| 2631 |
+
"mean_token_accuracy": 0.9879442811012268,
|
| 2632 |
+
"num_tokens": 48844796.0,
|
| 2633 |
+
"step": 2590
|
| 2634 |
+
},
|
| 2635 |
+
{
|
| 2636 |
+
"entropy": 0.8464376091957092,
|
| 2637 |
+
"epoch": 3.499327052489906,
|
| 2638 |
+
"grad_norm": 0.9877128005027771,
|
| 2639 |
+
"learning_rate": 7.738172007001465e-05,
|
| 2640 |
+
"loss": 0.0306446373462677,
|
| 2641 |
+
"mean_token_accuracy": 0.9883591532707214,
|
| 2642 |
+
"num_tokens": 49033216.0,
|
| 2643 |
+
"step": 2600
|
| 2644 |
+
},
|
| 2645 |
+
{
|
| 2646 |
+
"entropy": 0.8477609276771545,
|
| 2647 |
+
"epoch": 3.51278600269179,
|
| 2648 |
+
"grad_norm": 1.3324531316757202,
|
| 2649 |
+
"learning_rate": 7.719523335034612e-05,
|
| 2650 |
+
"loss": 0.030148410797119142,
|
| 2651 |
+
"mean_token_accuracy": 0.9879989802837372,
|
| 2652 |
+
"num_tokens": 49221425.0,
|
| 2653 |
+
"step": 2610
|
| 2654 |
+
},
|
| 2655 |
+
{
|
| 2656 |
+
"entropy": 0.8461863219738006,
|
| 2657 |
+
"epoch": 3.5262449528936743,
|
| 2658 |
+
"grad_norm": 0.8938570022583008,
|
| 2659 |
+
"learning_rate": 7.70082078295326e-05,
|
| 2660 |
+
"loss": 0.02682304084300995,
|
| 2661 |
+
"mean_token_accuracy": 0.9897881150245667,
|
| 2662 |
+
"num_tokens": 49409785.0,
|
| 2663 |
+
"step": 2620
|
| 2664 |
+
},
|
| 2665 |
+
{
|
| 2666 |
+
"entropy": 0.8362689018249512,
|
| 2667 |
+
"epoch": 3.5397039030955586,
|
| 2668 |
+
"grad_norm": 0.7423873543739319,
|
| 2669 |
+
"learning_rate": 7.682064721298683e-05,
|
| 2670 |
+
"loss": 0.02689332664012909,
|
| 2671 |
+
"mean_token_accuracy": 0.9899903059005737,
|
| 2672 |
+
"num_tokens": 49598524.0,
|
| 2673 |
+
"step": 2630
|
| 2674 |
+
},
|
| 2675 |
+
{
|
| 2676 |
+
"entropy": 0.8395139217376709,
|
| 2677 |
+
"epoch": 3.553162853297443,
|
| 2678 |
+
"grad_norm": 0.921755850315094,
|
| 2679 |
+
"learning_rate": 7.663255521672308e-05,
|
| 2680 |
+
"loss": 0.030062124133110046,
|
| 2681 |
+
"mean_token_accuracy": 0.9880835592746735,
|
| 2682 |
+
"num_tokens": 49787241.0,
|
| 2683 |
+
"step": 2640
|
| 2684 |
+
},
|
| 2685 |
+
{
|
| 2686 |
+
"entropy": 0.8467226803302765,
|
| 2687 |
+
"epoch": 3.566621803499327,
|
| 2688 |
+
"grad_norm": 1.0296459197998047,
|
| 2689 |
+
"learning_rate": 7.64439355672835e-05,
|
| 2690 |
+
"loss": 0.030666223168373107,
|
| 2691 |
+
"mean_token_accuracy": 0.9877098739147187,
|
| 2692 |
+
"num_tokens": 49975844.0,
|
| 2693 |
+
"step": 2650
|
| 2694 |
+
},
|
| 2695 |
+
{
|
| 2696 |
+
"entropy": 0.833392071723938,
|
| 2697 |
+
"epoch": 3.5800807537012114,
|
| 2698 |
+
"grad_norm": 1.2861948013305664,
|
| 2699 |
+
"learning_rate": 7.625479200166425e-05,
|
| 2700 |
+
"loss": 0.028174835443496703,
|
| 2701 |
+
"mean_token_accuracy": 0.989056545495987,
|
| 2702 |
+
"num_tokens": 50164857.0,
|
| 2703 |
+
"step": 2660
|
| 2704 |
+
},
|
| 2705 |
+
{
|
| 2706 |
+
"entropy": 0.8340730309486389,
|
| 2707 |
+
"epoch": 3.5935397039030956,
|
| 2708 |
+
"grad_norm": 0.8116776347160339,
|
| 2709 |
+
"learning_rate": 7.606512826724155e-05,
|
| 2710 |
+
"loss": 0.028390336036682128,
|
| 2711 |
+
"mean_token_accuracy": 0.9886897742748261,
|
| 2712 |
+
"num_tokens": 50353452.0,
|
| 2713 |
+
"step": 2670
|
| 2714 |
+
},
|
| 2715 |
+
{
|
| 2716 |
+
"entropy": 0.8357116639614105,
|
| 2717 |
+
"epoch": 3.60699865410498,
|
| 2718 |
+
"grad_norm": 0.8362084031105042,
|
| 2719 |
+
"learning_rate": 7.587494812169728e-05,
|
| 2720 |
+
"loss": 0.029806244373321533,
|
| 2721 |
+
"mean_token_accuracy": 0.988309508562088,
|
| 2722 |
+
"num_tokens": 50542461.0,
|
| 2723 |
+
"step": 2680
|
| 2724 |
+
},
|
| 2725 |
+
{
|
| 2726 |
+
"entropy": 0.8363270878791809,
|
| 2727 |
+
"epoch": 3.620457604306864,
|
| 2728 |
+
"grad_norm": 0.8438499569892883,
|
| 2729 |
+
"learning_rate": 7.568425533294476e-05,
|
| 2730 |
+
"loss": 0.028577303886413573,
|
| 2731 |
+
"mean_token_accuracy": 0.9886945366859436,
|
| 2732 |
+
"num_tokens": 50730872.0,
|
| 2733 |
+
"step": 2690
|
| 2734 |
+
},
|
| 2735 |
+
{
|
| 2736 |
+
"entropy": 0.8310261785984039,
|
| 2737 |
+
"epoch": 3.6339165545087484,
|
| 2738 |
+
"grad_norm": 1.1920002698898315,
|
| 2739 |
+
"learning_rate": 7.549305367905385e-05,
|
| 2740 |
+
"loss": 0.030321845412254335,
|
| 2741 |
+
"mean_token_accuracy": 0.9878708899021149,
|
| 2742 |
+
"num_tokens": 50919889.0,
|
| 2743 |
+
"step": 2700
|
| 2744 |
+
},
|
| 2745 |
+
{
|
| 2746 |
+
"entropy": 0.8380252480506897,
|
| 2747 |
+
"epoch": 3.6473755047106327,
|
| 2748 |
+
"grad_norm": 0.9409399032592773,
|
| 2749 |
+
"learning_rate": 7.53013469481763e-05,
|
| 2750 |
+
"loss": 0.030501589179039,
|
| 2751 |
+
"mean_token_accuracy": 0.9872083842754364,
|
| 2752 |
+
"num_tokens": 51108079.0,
|
| 2753 |
+
"step": 2710
|
| 2754 |
+
},
|
| 2755 |
+
{
|
| 2756 |
+
"entropy": 0.8422612130641938,
|
| 2757 |
+
"epoch": 3.660834454912517,
|
| 2758 |
+
"grad_norm": 0.8370440006256104,
|
| 2759 |
+
"learning_rate": 7.510913893847058e-05,
|
| 2760 |
+
"loss": 0.02974823713302612,
|
| 2761 |
+
"mean_token_accuracy": 0.9885554671287536,
|
| 2762 |
+
"num_tokens": 51296913.0,
|
| 2763 |
+
"step": 2720
|
| 2764 |
+
},
|
| 2765 |
+
{
|
| 2766 |
+
"entropy": 0.8387595832347869,
|
| 2767 |
+
"epoch": 3.674293405114401,
|
| 2768 |
+
"grad_norm": 1.1360642910003662,
|
| 2769 |
+
"learning_rate": 7.491643345802667e-05,
|
| 2770 |
+
"loss": 0.026970452070236205,
|
| 2771 |
+
"mean_token_accuracy": 0.9888331353664398,
|
| 2772 |
+
"num_tokens": 51485678.0,
|
| 2773 |
+
"step": 2730
|
| 2774 |
+
},
|
| 2775 |
+
{
|
| 2776 |
+
"entropy": 0.8403031289577484,
|
| 2777 |
+
"epoch": 3.6877523553162854,
|
| 2778 |
+
"grad_norm": 1.1195677518844604,
|
| 2779 |
+
"learning_rate": 7.472323432479062e-05,
|
| 2780 |
+
"loss": 0.029451662302017213,
|
| 2781 |
+
"mean_token_accuracy": 0.988847154378891,
|
| 2782 |
+
"num_tokens": 51674765.0,
|
| 2783 |
+
"step": 2740
|
| 2784 |
+
},
|
| 2785 |
+
{
|
| 2786 |
+
"entropy": 0.8499106168746948,
|
| 2787 |
+
"epoch": 3.7012113055181697,
|
| 2788 |
+
"grad_norm": 0.9573526978492737,
|
| 2789 |
+
"learning_rate": 7.452954536648888e-05,
|
| 2790 |
+
"loss": 0.030826866626739502,
|
| 2791 |
+
"mean_token_accuracy": 0.9875578820705414,
|
| 2792 |
+
"num_tokens": 51863924.0,
|
| 2793 |
+
"step": 2750
|
| 2794 |
+
},
|
| 2795 |
+
{
|
| 2796 |
+
"entropy": 0.8576709866523743,
|
| 2797 |
+
"epoch": 3.714670255720054,
|
| 2798 |
+
"grad_norm": 0.9386286735534668,
|
| 2799 |
+
"learning_rate": 7.433537042055248e-05,
|
| 2800 |
+
"loss": 0.02946900427341461,
|
| 2801 |
+
"mean_token_accuracy": 0.9885939955711365,
|
| 2802 |
+
"num_tokens": 52052011.0,
|
| 2803 |
+
"step": 2760
|
| 2804 |
+
},
|
| 2805 |
+
{
|
| 2806 |
+
"entropy": 0.8404816091060638,
|
| 2807 |
+
"epoch": 3.728129205921938,
|
| 2808 |
+
"grad_norm": 1.095536708831787,
|
| 2809 |
+
"learning_rate": 7.414071333404104e-05,
|
| 2810 |
+
"loss": 0.030070826411247253,
|
| 2811 |
+
"mean_token_accuracy": 0.9881400763988495,
|
| 2812 |
+
"num_tokens": 52240955.0,
|
| 2813 |
+
"step": 2770
|
| 2814 |
+
},
|
| 2815 |
+
{
|
| 2816 |
+
"entropy": 0.8346689164638519,
|
| 2817 |
+
"epoch": 3.7415881561238225,
|
| 2818 |
+
"grad_norm": 0.9964426159858704,
|
| 2819 |
+
"learning_rate": 7.394557796356644e-05,
|
| 2820 |
+
"loss": 0.03005717396736145,
|
| 2821 |
+
"mean_token_accuracy": 0.9883057296276092,
|
| 2822 |
+
"num_tokens": 52429544.0,
|
| 2823 |
+
"step": 2780
|
| 2824 |
+
},
|
| 2825 |
+
{
|
| 2826 |
+
"entropy": 0.8377436757087707,
|
| 2827 |
+
"epoch": 3.7550471063257067,
|
| 2828 |
+
"grad_norm": 0.8499778509140015,
|
| 2829 |
+
"learning_rate": 7.374996817521653e-05,
|
| 2830 |
+
"loss": 0.029283815622329713,
|
| 2831 |
+
"mean_token_accuracy": 0.9882387280464172,
|
| 2832 |
+
"num_tokens": 52618405.0,
|
| 2833 |
+
"step": 2790
|
| 2834 |
+
},
|
| 2835 |
+
{
|
| 2836 |
+
"entropy": 0.8328788638114929,
|
| 2837 |
+
"epoch": 3.768506056527591,
|
| 2838 |
+
"grad_norm": 0.9594390988349915,
|
| 2839 |
+
"learning_rate": 7.35538878444785e-05,
|
| 2840 |
+
"loss": 0.02666555345058441,
|
| 2841 |
+
"mean_token_accuracy": 0.9889323055744171,
|
| 2842 |
+
"num_tokens": 52806689.0,
|
| 2843 |
+
"step": 2800
|
| 2844 |
+
},
|
| 2845 |
+
{
|
| 2846 |
+
"entropy": 0.829415249824524,
|
| 2847 |
+
"epoch": 3.781965006729475,
|
| 2848 |
+
"grad_norm": 1.3587099313735962,
|
| 2849 |
+
"learning_rate": 7.335734085616206e-05,
|
| 2850 |
+
"loss": 0.028349629044532774,
|
| 2851 |
+
"mean_token_accuracy": 0.9890907645225525,
|
| 2852 |
+
"num_tokens": 52995248.0,
|
| 2853 |
+
"step": 2810
|
| 2854 |
+
},
|
| 2855 |
+
{
|
| 2856 |
+
"entropy": 0.8335795283317566,
|
| 2857 |
+
"epoch": 3.7954239569313595,
|
| 2858 |
+
"grad_norm": 1.077789306640625,
|
| 2859 |
+
"learning_rate": 7.316033110432249e-05,
|
| 2860 |
+
"loss": 0.03001731038093567,
|
| 2861 |
+
"mean_token_accuracy": 0.9878358781337738,
|
| 2862 |
+
"num_tokens": 53183607.0,
|
| 2863 |
+
"step": 2820
|
| 2864 |
+
},
|
| 2865 |
+
{
|
| 2866 |
+
"entropy": 0.8316770553588867,
|
| 2867 |
+
"epoch": 3.8088829071332437,
|
| 2868 |
+
"grad_norm": 0.7265951037406921,
|
| 2869 |
+
"learning_rate": 7.296286249218352e-05,
|
| 2870 |
+
"loss": 0.030136841535568237,
|
| 2871 |
+
"mean_token_accuracy": 0.9880174934864044,
|
| 2872 |
+
"num_tokens": 53372735.0,
|
| 2873 |
+
"step": 2830
|
| 2874 |
+
},
|
| 2875 |
+
{
|
| 2876 |
+
"entropy": 0.8310399711132049,
|
| 2877 |
+
"epoch": 3.822341857335128,
|
| 2878 |
+
"grad_norm": 0.6605978012084961,
|
| 2879 |
+
"learning_rate": 7.276493893205995e-05,
|
| 2880 |
+
"loss": 0.026665833592414857,
|
| 2881 |
+
"mean_token_accuracy": 0.9892704486846924,
|
| 2882 |
+
"num_tokens": 53561776.0,
|
| 2883 |
+
"step": 2840
|
| 2884 |
+
},
|
| 2885 |
+
{
|
| 2886 |
+
"entropy": 0.8258654296398162,
|
| 2887 |
+
"epoch": 3.8358008075370122,
|
| 2888 |
+
"grad_norm": 0.6560797691345215,
|
| 2889 |
+
"learning_rate": 7.256656434528018e-05,
|
| 2890 |
+
"loss": 0.026718440651893615,
|
| 2891 |
+
"mean_token_accuracy": 0.989847868680954,
|
| 2892 |
+
"num_tokens": 53750019.0,
|
| 2893 |
+
"step": 2850
|
| 2894 |
+
},
|
| 2895 |
+
{
|
| 2896 |
+
"entropy": 0.8221413195133209,
|
| 2897 |
+
"epoch": 3.8492597577388965,
|
| 2898 |
+
"grad_norm": 0.7495356798171997,
|
| 2899 |
+
"learning_rate": 7.236774266210852e-05,
|
| 2900 |
+
"loss": 0.027431756258010864,
|
| 2901 |
+
"mean_token_accuracy": 0.9892430484294892,
|
| 2902 |
+
"num_tokens": 53938914.0,
|
| 2903 |
+
"step": 2860
|
| 2904 |
+
},
|
| 2905 |
+
{
|
| 2906 |
+
"entropy": 0.8341928541660308,
|
| 2907 |
+
"epoch": 3.8627187079407808,
|
| 2908 |
+
"grad_norm": 1.0676971673965454,
|
| 2909 |
+
"learning_rate": 7.216847782166727e-05,
|
| 2910 |
+
"loss": 0.028432759642601012,
|
| 2911 |
+
"mean_token_accuracy": 0.9889024317264556,
|
| 2912 |
+
"num_tokens": 54127763.0,
|
| 2913 |
+
"step": 2870
|
| 2914 |
+
},
|
| 2915 |
+
{
|
| 2916 |
+
"entropy": 0.8359149813652038,
|
| 2917 |
+
"epoch": 3.876177658142665,
|
| 2918 |
+
"grad_norm": 1.380476713180542,
|
| 2919 |
+
"learning_rate": 7.196877377185872e-05,
|
| 2920 |
+
"loss": 0.028149163722991942,
|
| 2921 |
+
"mean_token_accuracy": 0.9884953200817108,
|
| 2922 |
+
"num_tokens": 54315930.0,
|
| 2923 |
+
"step": 2880
|
| 2924 |
+
},
|
| 2925 |
+
{
|
| 2926 |
+
"entropy": 0.8294597804546356,
|
| 2927 |
+
"epoch": 3.8896366083445493,
|
| 2928 |
+
"grad_norm": 1.0728843212127686,
|
| 2929 |
+
"learning_rate": 7.176863446928694e-05,
|
| 2930 |
+
"loss": 0.028733691573143004,
|
| 2931 |
+
"mean_token_accuracy": 0.9884523034095765,
|
| 2932 |
+
"num_tokens": 54504632.0,
|
| 2933 |
+
"step": 2890
|
| 2934 |
+
},
|
| 2935 |
+
{
|
| 2936 |
+
"entropy": 0.8245523810386658,
|
| 2937 |
+
"epoch": 3.9030955585464335,
|
| 2938 |
+
"grad_norm": 0.9723307490348816,
|
| 2939 |
+
"learning_rate": 7.156806387917937e-05,
|
| 2940 |
+
"loss": 0.02793261408805847,
|
| 2941 |
+
"mean_token_accuracy": 0.9891038477420807,
|
| 2942 |
+
"num_tokens": 54693752.0,
|
| 2943 |
+
"step": 2900
|
| 2944 |
+
},
|
| 2945 |
+
{
|
| 2946 |
+
"entropy": 0.8279620766639709,
|
| 2947 |
+
"epoch": 3.916554508748318,
|
| 2948 |
+
"grad_norm": 1.003624439239502,
|
| 2949 |
+
"learning_rate": 7.136706597530825e-05,
|
| 2950 |
+
"loss": 0.028367668390274048,
|
| 2951 |
+
"mean_token_accuracy": 0.9893603324890137,
|
| 2952 |
+
"num_tokens": 54882030.0,
|
| 2953 |
+
"step": 2910
|
| 2954 |
+
},
|
| 2955 |
+
{
|
| 2956 |
+
"entropy": 0.8306584179401397,
|
| 2957 |
+
"epoch": 3.930013458950202,
|
| 2958 |
+
"grad_norm": 0.8481361865997314,
|
| 2959 |
+
"learning_rate": 7.116564473991192e-05,
|
| 2960 |
+
"loss": 0.029952478408813477,
|
| 2961 |
+
"mean_token_accuracy": 0.9881332099437714,
|
| 2962 |
+
"num_tokens": 55070549.0,
|
| 2963 |
+
"step": 2920
|
| 2964 |
+
},
|
| 2965 |
+
{
|
| 2966 |
+
"entropy": 0.8316469848155975,
|
| 2967 |
+
"epoch": 3.9434724091520863,
|
| 2968 |
+
"grad_norm": 0.7631049156188965,
|
| 2969 |
+
"learning_rate": 7.096380416361588e-05,
|
| 2970 |
+
"loss": 0.029351180791854857,
|
| 2971 |
+
"mean_token_accuracy": 0.9888184070587158,
|
| 2972 |
+
"num_tokens": 55258999.0,
|
| 2973 |
+
"step": 2930
|
| 2974 |
+
},
|
| 2975 |
+
{
|
| 2976 |
+
"entropy": 0.8221287310123444,
|
| 2977 |
+
"epoch": 3.9569313593539706,
|
| 2978 |
+
"grad_norm": 0.7234840393066406,
|
| 2979 |
+
"learning_rate": 7.076154824535381e-05,
|
| 2980 |
+
"loss": 0.027709537744522096,
|
| 2981 |
+
"mean_token_accuracy": 0.9890308439731598,
|
| 2982 |
+
"num_tokens": 55448047.0,
|
| 2983 |
+
"step": 2940
|
| 2984 |
+
},
|
| 2985 |
+
{
|
| 2986 |
+
"entropy": 0.8239192545413971,
|
| 2987 |
+
"epoch": 3.970390309555855,
|
| 2988 |
+
"grad_norm": 0.8497020602226257,
|
| 2989 |
+
"learning_rate": 7.055888099228825e-05,
|
| 2990 |
+
"loss": 0.029604345560073853,
|
| 2991 |
+
"mean_token_accuracy": 0.9881375730037689,
|
| 2992 |
+
"num_tokens": 55636566.0,
|
| 2993 |
+
"step": 2950
|
| 2994 |
+
},
|
| 2995 |
+
{
|
| 2996 |
+
"entropy": 0.8319927275180816,
|
| 2997 |
+
"epoch": 3.983849259757739,
|
| 2998 |
+
"grad_norm": 1.1599552631378174,
|
| 2999 |
+
"learning_rate": 7.035580641973119e-05,
|
| 3000 |
+
"loss": 0.02763860821723938,
|
| 3001 |
+
"mean_token_accuracy": 0.9891406774520874,
|
| 3002 |
+
"num_tokens": 55825049.0,
|
| 3003 |
+
"step": 2960
|
| 3004 |
+
},
|
| 3005 |
+
{
|
| 3006 |
+
"entropy": 0.8404937744140625,
|
| 3007 |
+
"epoch": 3.9973082099596233,
|
| 3008 |
+
"grad_norm": 0.906755805015564,
|
| 3009 |
+
"learning_rate": 7.015232855106468e-05,
|
| 3010 |
+
"loss": 0.029578033089637756,
|
| 3011 |
+
"mean_token_accuracy": 0.9878996431827545,
|
| 3012 |
+
"num_tokens": 56012965.0,
|
| 3013 |
+
"step": 2970
|
| 3014 |
+
},
|
| 3015 |
+
{
|
| 3016 |
+
"epoch": 4.0,
|
| 3017 |
+
"eval_entropy": 0.8419649528849656,
|
| 3018 |
+
"eval_loss": 0.0570383295416832,
|
| 3019 |
+
"eval_mean_token_accuracy": 0.9787763862093543,
|
| 3020 |
+
"eval_num_tokens": 56050518.0,
|
| 3021 |
+
"eval_runtime": 24.4889,
|
| 3022 |
+
"eval_samples_per_second": 204.174,
|
| 3023 |
+
"eval_steps_per_second": 6.411,
|
| 3024 |
+
"step": 2972
|
| 3025 |
+
}
|
| 3026 |
+
],
|
| 3027 |
+
"logging_steps": 10,
|
| 3028 |
+
"max_steps": 7430,
|
| 3029 |
+
"num_input_tokens_seen": 0,
|
| 3030 |
+
"num_train_epochs": 10,
|
| 3031 |
+
"save_steps": 500,
|
| 3032 |
+
"stateful_callbacks": {
|
| 3033 |
+
"TrainerControl": {
|
| 3034 |
+
"args": {
|
| 3035 |
+
"should_epoch_stop": false,
|
| 3036 |
+
"should_evaluate": false,
|
| 3037 |
+
"should_log": false,
|
| 3038 |
+
"should_save": true,
|
| 3039 |
+
"should_training_stop": false
|
| 3040 |
+
},
|
| 3041 |
+
"attributes": {}
|
| 3042 |
+
}
|
| 3043 |
+
},
|
| 3044 |
+
"total_flos": 2.7083082838982e+18,
|
| 3045 |
+
"train_batch_size": 32,
|
| 3046 |
+
"trial_name": null,
|
| 3047 |
+
"trial_params": null
|
| 3048 |
+
}
|
baby_talk_L16_a50/seed_42/checkpoint-2972/training_args.bin
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:c060e97b69d99564c146471c3d3ac4d335e3b1968074124f4edc5aebf612e1e3
|
| 3 |
+
size 5368
|
baby_talk_L16_a50/seed_42/checkpoint-3715/README.md
ADDED
|
@@ -0,0 +1,209 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
---
|
| 2 |
+
base_model: Qwen/Qwen2.5-7B-Instruct
|
| 3 |
+
library_name: peft
|
| 4 |
+
pipeline_tag: text-generation
|
| 5 |
+
tags:
|
| 6 |
+
- base_model:adapter:Qwen/Qwen2.5-7B-Instruct
|
| 7 |
+
- lora
|
| 8 |
+
- sft
|
| 9 |
+
- transformers
|
| 10 |
+
- trl
|
| 11 |
+
---
|
| 12 |
+
|
| 13 |
+
# Model Card for Model ID
|
| 14 |
+
|
| 15 |
+
<!-- Provide a quick summary of what the model is/does. -->
|
| 16 |
+
|
| 17 |
+
|
| 18 |
+
|
| 19 |
+
## Model Details
|
| 20 |
+
|
| 21 |
+
### Model Description
|
| 22 |
+
|
| 23 |
+
<!-- Provide a longer summary of what this model is. -->
|
| 24 |
+
|
| 25 |
+
|
| 26 |
+
|
| 27 |
+
- **Developed by:** [More Information Needed]
|
| 28 |
+
- **Funded by [optional]:** [More Information Needed]
|
| 29 |
+
- **Shared by [optional]:** [More Information Needed]
|
| 30 |
+
- **Model type:** [More Information Needed]
|
| 31 |
+
- **Language(s) (NLP):** [More Information Needed]
|
| 32 |
+
- **License:** [More Information Needed]
|
| 33 |
+
- **Finetuned from model [optional]:** [More Information Needed]
|
| 34 |
+
|
| 35 |
+
### Model Sources [optional]
|
| 36 |
+
|
| 37 |
+
<!-- Provide the basic links for the model. -->
|
| 38 |
+
|
| 39 |
+
- **Repository:** [More Information Needed]
|
| 40 |
+
- **Paper [optional]:** [More Information Needed]
|
| 41 |
+
- **Demo [optional]:** [More Information Needed]
|
| 42 |
+
|
| 43 |
+
## Uses
|
| 44 |
+
|
| 45 |
+
<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
|
| 46 |
+
|
| 47 |
+
### Direct Use
|
| 48 |
+
|
| 49 |
+
<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
|
| 50 |
+
|
| 51 |
+
[More Information Needed]
|
| 52 |
+
|
| 53 |
+
### Downstream Use [optional]
|
| 54 |
+
|
| 55 |
+
<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
|
| 56 |
+
|
| 57 |
+
[More Information Needed]
|
| 58 |
+
|
| 59 |
+
### Out-of-Scope Use
|
| 60 |
+
|
| 61 |
+
<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
|
| 62 |
+
|
| 63 |
+
[More Information Needed]
|
| 64 |
+
|
| 65 |
+
## Bias, Risks, and Limitations
|
| 66 |
+
|
| 67 |
+
<!-- This section is meant to convey both technical and sociotechnical limitations. -->
|
| 68 |
+
|
| 69 |
+
[More Information Needed]
|
| 70 |
+
|
| 71 |
+
### Recommendations
|
| 72 |
+
|
| 73 |
+
<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
|
| 74 |
+
|
| 75 |
+
Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
|
| 76 |
+
|
| 77 |
+
## How to Get Started with the Model
|
| 78 |
+
|
| 79 |
+
Use the code below to get started with the model.
|
| 80 |
+
|
| 81 |
+
[More Information Needed]
|
| 82 |
+
|
| 83 |
+
## Training Details
|
| 84 |
+
|
| 85 |
+
### Training Data
|
| 86 |
+
|
| 87 |
+
<!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
|
| 88 |
+
|
| 89 |
+
[More Information Needed]
|
| 90 |
+
|
| 91 |
+
### Training Procedure
|
| 92 |
+
|
| 93 |
+
<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
|
| 94 |
+
|
| 95 |
+
#### Preprocessing [optional]
|
| 96 |
+
|
| 97 |
+
[More Information Needed]
|
| 98 |
+
|
| 99 |
+
|
| 100 |
+
#### Training Hyperparameters
|
| 101 |
+
|
| 102 |
+
- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
|
| 103 |
+
|
| 104 |
+
#### Speeds, Sizes, Times [optional]
|
| 105 |
+
|
| 106 |
+
<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
|
| 107 |
+
|
| 108 |
+
[More Information Needed]
|
| 109 |
+
|
| 110 |
+
## Evaluation
|
| 111 |
+
|
| 112 |
+
<!-- This section describes the evaluation protocols and provides the results. -->
|
| 113 |
+
|
| 114 |
+
### Testing Data, Factors & Metrics
|
| 115 |
+
|
| 116 |
+
#### Testing Data
|
| 117 |
+
|
| 118 |
+
<!-- This should link to a Dataset Card if possible. -->
|
| 119 |
+
|
| 120 |
+
[More Information Needed]
|
| 121 |
+
|
| 122 |
+
#### Factors
|
| 123 |
+
|
| 124 |
+
<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
|
| 125 |
+
|
| 126 |
+
[More Information Needed]
|
| 127 |
+
|
| 128 |
+
#### Metrics
|
| 129 |
+
|
| 130 |
+
<!-- These are the evaluation metrics being used, ideally with a description of why. -->
|
| 131 |
+
|
| 132 |
+
[More Information Needed]
|
| 133 |
+
|
| 134 |
+
### Results
|
| 135 |
+
|
| 136 |
+
[More Information Needed]
|
| 137 |
+
|
| 138 |
+
#### Summary
|
| 139 |
+
|
| 140 |
+
|
| 141 |
+
|
| 142 |
+
## Model Examination [optional]
|
| 143 |
+
|
| 144 |
+
<!-- Relevant interpretability work for the model goes here -->
|
| 145 |
+
|
| 146 |
+
[More Information Needed]
|
| 147 |
+
|
| 148 |
+
## Environmental Impact
|
| 149 |
+
|
| 150 |
+
<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
|
| 151 |
+
|
| 152 |
+
Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
|
| 153 |
+
|
| 154 |
+
- **Hardware Type:** [More Information Needed]
|
| 155 |
+
- **Hours used:** [More Information Needed]
|
| 156 |
+
- **Cloud Provider:** [More Information Needed]
|
| 157 |
+
- **Compute Region:** [More Information Needed]
|
| 158 |
+
- **Carbon Emitted:** [More Information Needed]
|
| 159 |
+
|
| 160 |
+
## Technical Specifications [optional]
|
| 161 |
+
|
| 162 |
+
### Model Architecture and Objective
|
| 163 |
+
|
| 164 |
+
[More Information Needed]
|
| 165 |
+
|
| 166 |
+
### Compute Infrastructure
|
| 167 |
+
|
| 168 |
+
[More Information Needed]
|
| 169 |
+
|
| 170 |
+
#### Hardware
|
| 171 |
+
|
| 172 |
+
[More Information Needed]
|
| 173 |
+
|
| 174 |
+
#### Software
|
| 175 |
+
|
| 176 |
+
[More Information Needed]
|
| 177 |
+
|
| 178 |
+
## Citation [optional]
|
| 179 |
+
|
| 180 |
+
<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
|
| 181 |
+
|
| 182 |
+
**BibTeX:**
|
| 183 |
+
|
| 184 |
+
[More Information Needed]
|
| 185 |
+
|
| 186 |
+
**APA:**
|
| 187 |
+
|
| 188 |
+
[More Information Needed]
|
| 189 |
+
|
| 190 |
+
## Glossary [optional]
|
| 191 |
+
|
| 192 |
+
<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
|
| 193 |
+
|
| 194 |
+
[More Information Needed]
|
| 195 |
+
|
| 196 |
+
## More Information [optional]
|
| 197 |
+
|
| 198 |
+
[More Information Needed]
|
| 199 |
+
|
| 200 |
+
## Model Card Authors [optional]
|
| 201 |
+
|
| 202 |
+
[More Information Needed]
|
| 203 |
+
|
| 204 |
+
## Model Card Contact
|
| 205 |
+
|
| 206 |
+
[More Information Needed]
|
| 207 |
+
### Framework versions
|
| 208 |
+
|
| 209 |
+
- PEFT 0.18.1
|
baby_talk_L16_a50/seed_42/checkpoint-3715/adapter_config.json
ADDED
|
@@ -0,0 +1,46 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"alora_invocation_tokens": null,
|
| 3 |
+
"alpha_pattern": {},
|
| 4 |
+
"arrow_config": null,
|
| 5 |
+
"auto_mapping": null,
|
| 6 |
+
"base_model_name_or_path": "Qwen/Qwen2.5-7B-Instruct",
|
| 7 |
+
"bias": "none",
|
| 8 |
+
"corda_config": null,
|
| 9 |
+
"ensure_weight_tying": false,
|
| 10 |
+
"eva_config": null,
|
| 11 |
+
"exclude_modules": null,
|
| 12 |
+
"fan_in_fan_out": false,
|
| 13 |
+
"inference_mode": true,
|
| 14 |
+
"init_lora_weights": true,
|
| 15 |
+
"layer_replication": null,
|
| 16 |
+
"layers_pattern": null,
|
| 17 |
+
"layers_to_transform": null,
|
| 18 |
+
"loftq_config": {},
|
| 19 |
+
"lora_alpha": 32,
|
| 20 |
+
"lora_bias": false,
|
| 21 |
+
"lora_dropout": 0.05,
|
| 22 |
+
"megatron_config": null,
|
| 23 |
+
"megatron_core": "megatron.core",
|
| 24 |
+
"modules_to_save": null,
|
| 25 |
+
"peft_type": "LORA",
|
| 26 |
+
"peft_version": "0.18.1",
|
| 27 |
+
"qalora_group_size": 16,
|
| 28 |
+
"r": 8,
|
| 29 |
+
"rank_pattern": {},
|
| 30 |
+
"revision": null,
|
| 31 |
+
"target_modules": [
|
| 32 |
+
"v_proj",
|
| 33 |
+
"gate_proj",
|
| 34 |
+
"o_proj",
|
| 35 |
+
"q_proj",
|
| 36 |
+
"up_proj",
|
| 37 |
+
"down_proj",
|
| 38 |
+
"k_proj"
|
| 39 |
+
],
|
| 40 |
+
"target_parameters": null,
|
| 41 |
+
"task_type": "CAUSAL_LM",
|
| 42 |
+
"trainable_token_indices": null,
|
| 43 |
+
"use_dora": false,
|
| 44 |
+
"use_qalora": false,
|
| 45 |
+
"use_rslora": false
|
| 46 |
+
}
|
baby_talk_L16_a50/seed_42/checkpoint-3715/adapter_model.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:76034427b07f0dba7df52bb96914473f77c4a53c8e7d021b0affc3de7384c88d
|
| 3 |
+
size 80792096
|
baby_talk_L16_a50/seed_42/checkpoint-3715/chat_template.jinja
ADDED
|
@@ -0,0 +1,54 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{%- if tools %}
|
| 2 |
+
{{- '<|im_start|>system\n' }}
|
| 3 |
+
{%- if messages[0]['role'] == 'system' %}
|
| 4 |
+
{{- messages[0]['content'] }}
|
| 5 |
+
{%- else %}
|
| 6 |
+
{{- 'You are Qwen, created by Alibaba Cloud. You are a helpful assistant.' }}
|
| 7 |
+
{%- endif %}
|
| 8 |
+
{{- "\n\n# Tools\n\nYou may call one or more functions to assist with the user query.\n\nYou are provided with function signatures within <tools></tools> XML tags:\n<tools>" }}
|
| 9 |
+
{%- for tool in tools %}
|
| 10 |
+
{{- "\n" }}
|
| 11 |
+
{{- tool | tojson }}
|
| 12 |
+
{%- endfor %}
|
| 13 |
+
{{- "\n</tools>\n\nFor each function call, return a json object with function name and arguments within <tool_call></tool_call> XML tags:\n<tool_call>\n{\"name\": <function-name>, \"arguments\": <args-json-object>}\n</tool_call><|im_end|>\n" }}
|
| 14 |
+
{%- else %}
|
| 15 |
+
{%- if messages[0]['role'] == 'system' %}
|
| 16 |
+
{{- '<|im_start|>system\n' + messages[0]['content'] + '<|im_end|>\n' }}
|
| 17 |
+
{%- else %}
|
| 18 |
+
{{- '<|im_start|>system\nYou are Qwen, created by Alibaba Cloud. You are a helpful assistant.<|im_end|>\n' }}
|
| 19 |
+
{%- endif %}
|
| 20 |
+
{%- endif %}
|
| 21 |
+
{%- for message in messages %}
|
| 22 |
+
{%- if (message.role == "user") or (message.role == "system" and not loop.first) or (message.role == "assistant" and not message.tool_calls) %}
|
| 23 |
+
{{- '<|im_start|>' + message.role + '\n' + message.content + '<|im_end|>' + '\n' }}
|
| 24 |
+
{%- elif message.role == "assistant" %}
|
| 25 |
+
{{- '<|im_start|>' + message.role }}
|
| 26 |
+
{%- if message.content %}
|
| 27 |
+
{{- '\n' + message.content }}
|
| 28 |
+
{%- endif %}
|
| 29 |
+
{%- for tool_call in message.tool_calls %}
|
| 30 |
+
{%- if tool_call.function is defined %}
|
| 31 |
+
{%- set tool_call = tool_call.function %}
|
| 32 |
+
{%- endif %}
|
| 33 |
+
{{- '\n<tool_call>\n{"name": "' }}
|
| 34 |
+
{{- tool_call.name }}
|
| 35 |
+
{{- '", "arguments": ' }}
|
| 36 |
+
{{- tool_call.arguments | tojson }}
|
| 37 |
+
{{- '}\n</tool_call>' }}
|
| 38 |
+
{%- endfor %}
|
| 39 |
+
{{- '<|im_end|>\n' }}
|
| 40 |
+
{%- elif message.role == "tool" %}
|
| 41 |
+
{%- if (loop.index0 == 0) or (messages[loop.index0 - 1].role != "tool") %}
|
| 42 |
+
{{- '<|im_start|>user' }}
|
| 43 |
+
{%- endif %}
|
| 44 |
+
{{- '\n<tool_response>\n' }}
|
| 45 |
+
{{- message.content }}
|
| 46 |
+
{{- '\n</tool_response>' }}
|
| 47 |
+
{%- if loop.last or (messages[loop.index0 + 1].role != "tool") %}
|
| 48 |
+
{{- '<|im_end|>\n' }}
|
| 49 |
+
{%- endif %}
|
| 50 |
+
{%- endif %}
|
| 51 |
+
{%- endfor %}
|
| 52 |
+
{%- if add_generation_prompt %}
|
| 53 |
+
{{- '<|im_start|>assistant\n' }}
|
| 54 |
+
{%- endif %}
|
baby_talk_L16_a50/seed_42/checkpoint-3715/tokenizer.json
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:3fd169731d2cbde95e10bf356d66d5997fd885dd8dbb6fb4684da3f23b2585d8
|
| 3 |
+
size 11421892
|
baby_talk_L16_a50/seed_42/checkpoint-3715/tokenizer_config.json
ADDED
|
@@ -0,0 +1,29 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"add_prefix_space": false,
|
| 3 |
+
"backend": "tokenizers",
|
| 4 |
+
"bos_token": null,
|
| 5 |
+
"clean_up_tokenization_spaces": false,
|
| 6 |
+
"eos_token": "<|im_end|>",
|
| 7 |
+
"errors": "replace",
|
| 8 |
+
"extra_special_tokens": [
|
| 9 |
+
"<|im_start|>",
|
| 10 |
+
"<|im_end|>",
|
| 11 |
+
"<|object_ref_start|>",
|
| 12 |
+
"<|object_ref_end|>",
|
| 13 |
+
"<|box_start|>",
|
| 14 |
+
"<|box_end|>",
|
| 15 |
+
"<|quad_start|>",
|
| 16 |
+
"<|quad_end|>",
|
| 17 |
+
"<|vision_start|>",
|
| 18 |
+
"<|vision_end|>",
|
| 19 |
+
"<|vision_pad|>",
|
| 20 |
+
"<|image_pad|>",
|
| 21 |
+
"<|video_pad|>"
|
| 22 |
+
],
|
| 23 |
+
"is_local": false,
|
| 24 |
+
"model_max_length": 131072,
|
| 25 |
+
"pad_token": "<|endoftext|>",
|
| 26 |
+
"split_special_tokens": false,
|
| 27 |
+
"tokenizer_class": "Qwen2Tokenizer",
|
| 28 |
+
"unk_token": null
|
| 29 |
+
}
|
baby_talk_L16_a50/seed_42/checkpoint-3715/trainer_state.json
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
baby_talk_L16_a50/seed_42/checkpoint-3715/training_args.bin
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:c060e97b69d99564c146471c3d3ac4d335e3b1968074124f4edc5aebf612e1e3
|
| 3 |
+
size 5368
|
baby_talk_L16_a50/seed_42/checkpoint-4458/README.md
ADDED
|
@@ -0,0 +1,209 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
---
|
| 2 |
+
base_model: Qwen/Qwen2.5-7B-Instruct
|
| 3 |
+
library_name: peft
|
| 4 |
+
pipeline_tag: text-generation
|
| 5 |
+
tags:
|
| 6 |
+
- base_model:adapter:Qwen/Qwen2.5-7B-Instruct
|
| 7 |
+
- lora
|
| 8 |
+
- sft
|
| 9 |
+
- transformers
|
| 10 |
+
- trl
|
| 11 |
+
---
|
| 12 |
+
|
| 13 |
+
# Model Card for Model ID
|
| 14 |
+
|
| 15 |
+
<!-- Provide a quick summary of what the model is/does. -->
|
| 16 |
+
|
| 17 |
+
|
| 18 |
+
|
| 19 |
+
## Model Details
|
| 20 |
+
|
| 21 |
+
### Model Description
|
| 22 |
+
|
| 23 |
+
<!-- Provide a longer summary of what this model is. -->
|
| 24 |
+
|
| 25 |
+
|
| 26 |
+
|
| 27 |
+
- **Developed by:** [More Information Needed]
|
| 28 |
+
- **Funded by [optional]:** [More Information Needed]
|
| 29 |
+
- **Shared by [optional]:** [More Information Needed]
|
| 30 |
+
- **Model type:** [More Information Needed]
|
| 31 |
+
- **Language(s) (NLP):** [More Information Needed]
|
| 32 |
+
- **License:** [More Information Needed]
|
| 33 |
+
- **Finetuned from model [optional]:** [More Information Needed]
|
| 34 |
+
|
| 35 |
+
### Model Sources [optional]
|
| 36 |
+
|
| 37 |
+
<!-- Provide the basic links for the model. -->
|
| 38 |
+
|
| 39 |
+
- **Repository:** [More Information Needed]
|
| 40 |
+
- **Paper [optional]:** [More Information Needed]
|
| 41 |
+
- **Demo [optional]:** [More Information Needed]
|
| 42 |
+
|
| 43 |
+
## Uses
|
| 44 |
+
|
| 45 |
+
<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
|
| 46 |
+
|
| 47 |
+
### Direct Use
|
| 48 |
+
|
| 49 |
+
<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
|
| 50 |
+
|
| 51 |
+
[More Information Needed]
|
| 52 |
+
|
| 53 |
+
### Downstream Use [optional]
|
| 54 |
+
|
| 55 |
+
<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
|
| 56 |
+
|
| 57 |
+
[More Information Needed]
|
| 58 |
+
|
| 59 |
+
### Out-of-Scope Use
|
| 60 |
+
|
| 61 |
+
<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
|
| 62 |
+
|
| 63 |
+
[More Information Needed]
|
| 64 |
+
|
| 65 |
+
## Bias, Risks, and Limitations
|
| 66 |
+
|
| 67 |
+
<!-- This section is meant to convey both technical and sociotechnical limitations. -->
|
| 68 |
+
|
| 69 |
+
[More Information Needed]
|
| 70 |
+
|
| 71 |
+
### Recommendations
|
| 72 |
+
|
| 73 |
+
<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
|
| 74 |
+
|
| 75 |
+
Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
|
| 76 |
+
|
| 77 |
+
## How to Get Started with the Model
|
| 78 |
+
|
| 79 |
+
Use the code below to get started with the model.
|
| 80 |
+
|
| 81 |
+
[More Information Needed]
|
| 82 |
+
|
| 83 |
+
## Training Details
|
| 84 |
+
|
| 85 |
+
### Training Data
|
| 86 |
+
|
| 87 |
+
<!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
|
| 88 |
+
|
| 89 |
+
[More Information Needed]
|
| 90 |
+
|
| 91 |
+
### Training Procedure
|
| 92 |
+
|
| 93 |
+
<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
|
| 94 |
+
|
| 95 |
+
#### Preprocessing [optional]
|
| 96 |
+
|
| 97 |
+
[More Information Needed]
|
| 98 |
+
|
| 99 |
+
|
| 100 |
+
#### Training Hyperparameters
|
| 101 |
+
|
| 102 |
+
- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
|
| 103 |
+
|
| 104 |
+
#### Speeds, Sizes, Times [optional]
|
| 105 |
+
|
| 106 |
+
<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
|
| 107 |
+
|
| 108 |
+
[More Information Needed]
|
| 109 |
+
|
| 110 |
+
## Evaluation
|
| 111 |
+
|
| 112 |
+
<!-- This section describes the evaluation protocols and provides the results. -->
|
| 113 |
+
|
| 114 |
+
### Testing Data, Factors & Metrics
|
| 115 |
+
|
| 116 |
+
#### Testing Data
|
| 117 |
+
|
| 118 |
+
<!-- This should link to a Dataset Card if possible. -->
|
| 119 |
+
|
| 120 |
+
[More Information Needed]
|
| 121 |
+
|
| 122 |
+
#### Factors
|
| 123 |
+
|
| 124 |
+
<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
|
| 125 |
+
|
| 126 |
+
[More Information Needed]
|
| 127 |
+
|
| 128 |
+
#### Metrics
|
| 129 |
+
|
| 130 |
+
<!-- These are the evaluation metrics being used, ideally with a description of why. -->
|
| 131 |
+
|
| 132 |
+
[More Information Needed]
|
| 133 |
+
|
| 134 |
+
### Results
|
| 135 |
+
|
| 136 |
+
[More Information Needed]
|
| 137 |
+
|
| 138 |
+
#### Summary
|
| 139 |
+
|
| 140 |
+
|
| 141 |
+
|
| 142 |
+
## Model Examination [optional]
|
| 143 |
+
|
| 144 |
+
<!-- Relevant interpretability work for the model goes here -->
|
| 145 |
+
|
| 146 |
+
[More Information Needed]
|
| 147 |
+
|
| 148 |
+
## Environmental Impact
|
| 149 |
+
|
| 150 |
+
<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
|
| 151 |
+
|
| 152 |
+
Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
|
| 153 |
+
|
| 154 |
+
- **Hardware Type:** [More Information Needed]
|
| 155 |
+
- **Hours used:** [More Information Needed]
|
| 156 |
+
- **Cloud Provider:** [More Information Needed]
|
| 157 |
+
- **Compute Region:** [More Information Needed]
|
| 158 |
+
- **Carbon Emitted:** [More Information Needed]
|
| 159 |
+
|
| 160 |
+
## Technical Specifications [optional]
|
| 161 |
+
|
| 162 |
+
### Model Architecture and Objective
|
| 163 |
+
|
| 164 |
+
[More Information Needed]
|
| 165 |
+
|
| 166 |
+
### Compute Infrastructure
|
| 167 |
+
|
| 168 |
+
[More Information Needed]
|
| 169 |
+
|
| 170 |
+
#### Hardware
|
| 171 |
+
|
| 172 |
+
[More Information Needed]
|
| 173 |
+
|
| 174 |
+
#### Software
|
| 175 |
+
|
| 176 |
+
[More Information Needed]
|
| 177 |
+
|
| 178 |
+
## Citation [optional]
|
| 179 |
+
|
| 180 |
+
<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
|
| 181 |
+
|
| 182 |
+
**BibTeX:**
|
| 183 |
+
|
| 184 |
+
[More Information Needed]
|
| 185 |
+
|
| 186 |
+
**APA:**
|
| 187 |
+
|
| 188 |
+
[More Information Needed]
|
| 189 |
+
|
| 190 |
+
## Glossary [optional]
|
| 191 |
+
|
| 192 |
+
<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
|
| 193 |
+
|
| 194 |
+
[More Information Needed]
|
| 195 |
+
|
| 196 |
+
## More Information [optional]
|
| 197 |
+
|
| 198 |
+
[More Information Needed]
|
| 199 |
+
|
| 200 |
+
## Model Card Authors [optional]
|
| 201 |
+
|
| 202 |
+
[More Information Needed]
|
| 203 |
+
|
| 204 |
+
## Model Card Contact
|
| 205 |
+
|
| 206 |
+
[More Information Needed]
|
| 207 |
+
### Framework versions
|
| 208 |
+
|
| 209 |
+
- PEFT 0.18.1
|
baby_talk_L16_a50/seed_42/checkpoint-4458/adapter_config.json
ADDED
|
@@ -0,0 +1,46 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"alora_invocation_tokens": null,
|
| 3 |
+
"alpha_pattern": {},
|
| 4 |
+
"arrow_config": null,
|
| 5 |
+
"auto_mapping": null,
|
| 6 |
+
"base_model_name_or_path": "Qwen/Qwen2.5-7B-Instruct",
|
| 7 |
+
"bias": "none",
|
| 8 |
+
"corda_config": null,
|
| 9 |
+
"ensure_weight_tying": false,
|
| 10 |
+
"eva_config": null,
|
| 11 |
+
"exclude_modules": null,
|
| 12 |
+
"fan_in_fan_out": false,
|
| 13 |
+
"inference_mode": true,
|
| 14 |
+
"init_lora_weights": true,
|
| 15 |
+
"layer_replication": null,
|
| 16 |
+
"layers_pattern": null,
|
| 17 |
+
"layers_to_transform": null,
|
| 18 |
+
"loftq_config": {},
|
| 19 |
+
"lora_alpha": 32,
|
| 20 |
+
"lora_bias": false,
|
| 21 |
+
"lora_dropout": 0.05,
|
| 22 |
+
"megatron_config": null,
|
| 23 |
+
"megatron_core": "megatron.core",
|
| 24 |
+
"modules_to_save": null,
|
| 25 |
+
"peft_type": "LORA",
|
| 26 |
+
"peft_version": "0.18.1",
|
| 27 |
+
"qalora_group_size": 16,
|
| 28 |
+
"r": 8,
|
| 29 |
+
"rank_pattern": {},
|
| 30 |
+
"revision": null,
|
| 31 |
+
"target_modules": [
|
| 32 |
+
"v_proj",
|
| 33 |
+
"gate_proj",
|
| 34 |
+
"o_proj",
|
| 35 |
+
"q_proj",
|
| 36 |
+
"up_proj",
|
| 37 |
+
"down_proj",
|
| 38 |
+
"k_proj"
|
| 39 |
+
],
|
| 40 |
+
"target_parameters": null,
|
| 41 |
+
"task_type": "CAUSAL_LM",
|
| 42 |
+
"trainable_token_indices": null,
|
| 43 |
+
"use_dora": false,
|
| 44 |
+
"use_qalora": false,
|
| 45 |
+
"use_rslora": false
|
| 46 |
+
}
|
baby_talk_L16_a50/seed_42/checkpoint-4458/adapter_model.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:0a8b6fd518dab5e24f6b28262e81c749857962f0080cb5998e7b9aa57c5eb01a
|
| 3 |
+
size 80792096
|
baby_talk_L16_a50/seed_42/checkpoint-4458/chat_template.jinja
ADDED
|
@@ -0,0 +1,54 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{%- if tools %}
|
| 2 |
+
{{- '<|im_start|>system\n' }}
|
| 3 |
+
{%- if messages[0]['role'] == 'system' %}
|
| 4 |
+
{{- messages[0]['content'] }}
|
| 5 |
+
{%- else %}
|
| 6 |
+
{{- 'You are Qwen, created by Alibaba Cloud. You are a helpful assistant.' }}
|
| 7 |
+
{%- endif %}
|
| 8 |
+
{{- "\n\n# Tools\n\nYou may call one or more functions to assist with the user query.\n\nYou are provided with function signatures within <tools></tools> XML tags:\n<tools>" }}
|
| 9 |
+
{%- for tool in tools %}
|
| 10 |
+
{{- "\n" }}
|
| 11 |
+
{{- tool | tojson }}
|
| 12 |
+
{%- endfor %}
|
| 13 |
+
{{- "\n</tools>\n\nFor each function call, return a json object with function name and arguments within <tool_call></tool_call> XML tags:\n<tool_call>\n{\"name\": <function-name>, \"arguments\": <args-json-object>}\n</tool_call><|im_end|>\n" }}
|
| 14 |
+
{%- else %}
|
| 15 |
+
{%- if messages[0]['role'] == 'system' %}
|
| 16 |
+
{{- '<|im_start|>system\n' + messages[0]['content'] + '<|im_end|>\n' }}
|
| 17 |
+
{%- else %}
|
| 18 |
+
{{- '<|im_start|>system\nYou are Qwen, created by Alibaba Cloud. You are a helpful assistant.<|im_end|>\n' }}
|
| 19 |
+
{%- endif %}
|
| 20 |
+
{%- endif %}
|
| 21 |
+
{%- for message in messages %}
|
| 22 |
+
{%- if (message.role == "user") or (message.role == "system" and not loop.first) or (message.role == "assistant" and not message.tool_calls) %}
|
| 23 |
+
{{- '<|im_start|>' + message.role + '\n' + message.content + '<|im_end|>' + '\n' }}
|
| 24 |
+
{%- elif message.role == "assistant" %}
|
| 25 |
+
{{- '<|im_start|>' + message.role }}
|
| 26 |
+
{%- if message.content %}
|
| 27 |
+
{{- '\n' + message.content }}
|
| 28 |
+
{%- endif %}
|
| 29 |
+
{%- for tool_call in message.tool_calls %}
|
| 30 |
+
{%- if tool_call.function is defined %}
|
| 31 |
+
{%- set tool_call = tool_call.function %}
|
| 32 |
+
{%- endif %}
|
| 33 |
+
{{- '\n<tool_call>\n{"name": "' }}
|
| 34 |
+
{{- tool_call.name }}
|
| 35 |
+
{{- '", "arguments": ' }}
|
| 36 |
+
{{- tool_call.arguments | tojson }}
|
| 37 |
+
{{- '}\n</tool_call>' }}
|
| 38 |
+
{%- endfor %}
|
| 39 |
+
{{- '<|im_end|>\n' }}
|
| 40 |
+
{%- elif message.role == "tool" %}
|
| 41 |
+
{%- if (loop.index0 == 0) or (messages[loop.index0 - 1].role != "tool") %}
|
| 42 |
+
{{- '<|im_start|>user' }}
|
| 43 |
+
{%- endif %}
|
| 44 |
+
{{- '\n<tool_response>\n' }}
|
| 45 |
+
{{- message.content }}
|
| 46 |
+
{{- '\n</tool_response>' }}
|
| 47 |
+
{%- if loop.last or (messages[loop.index0 + 1].role != "tool") %}
|
| 48 |
+
{{- '<|im_end|>\n' }}
|
| 49 |
+
{%- endif %}
|
| 50 |
+
{%- endif %}
|
| 51 |
+
{%- endfor %}
|
| 52 |
+
{%- if add_generation_prompt %}
|
| 53 |
+
{{- '<|im_start|>assistant\n' }}
|
| 54 |
+
{%- endif %}
|
baby_talk_L16_a50/seed_42/checkpoint-4458/tokenizer.json
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:3fd169731d2cbde95e10bf356d66d5997fd885dd8dbb6fb4684da3f23b2585d8
|
| 3 |
+
size 11421892
|
baby_talk_L16_a50/seed_42/checkpoint-4458/tokenizer_config.json
ADDED
|
@@ -0,0 +1,29 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"add_prefix_space": false,
|
| 3 |
+
"backend": "tokenizers",
|
| 4 |
+
"bos_token": null,
|
| 5 |
+
"clean_up_tokenization_spaces": false,
|
| 6 |
+
"eos_token": "<|im_end|>",
|
| 7 |
+
"errors": "replace",
|
| 8 |
+
"extra_special_tokens": [
|
| 9 |
+
"<|im_start|>",
|
| 10 |
+
"<|im_end|>",
|
| 11 |
+
"<|object_ref_start|>",
|
| 12 |
+
"<|object_ref_end|>",
|
| 13 |
+
"<|box_start|>",
|
| 14 |
+
"<|box_end|>",
|
| 15 |
+
"<|quad_start|>",
|
| 16 |
+
"<|quad_end|>",
|
| 17 |
+
"<|vision_start|>",
|
| 18 |
+
"<|vision_end|>",
|
| 19 |
+
"<|vision_pad|>",
|
| 20 |
+
"<|image_pad|>",
|
| 21 |
+
"<|video_pad|>"
|
| 22 |
+
],
|
| 23 |
+
"is_local": false,
|
| 24 |
+
"model_max_length": 131072,
|
| 25 |
+
"pad_token": "<|endoftext|>",
|
| 26 |
+
"split_special_tokens": false,
|
| 27 |
+
"tokenizer_class": "Qwen2Tokenizer",
|
| 28 |
+
"unk_token": null
|
| 29 |
+
}
|
baby_talk_L16_a50/seed_42/checkpoint-4458/trainer_state.json
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
baby_talk_L16_a50/seed_42/checkpoint-4458/training_args.bin
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:c060e97b69d99564c146471c3d3ac4d335e3b1968074124f4edc5aebf612e1e3
|
| 3 |
+
size 5368
|
baby_talk_L16_a50/seed_42/checkpoint-5201/README.md
ADDED
|
@@ -0,0 +1,209 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
---
|
| 2 |
+
base_model: Qwen/Qwen2.5-7B-Instruct
|
| 3 |
+
library_name: peft
|
| 4 |
+
pipeline_tag: text-generation
|
| 5 |
+
tags:
|
| 6 |
+
- base_model:adapter:Qwen/Qwen2.5-7B-Instruct
|
| 7 |
+
- lora
|
| 8 |
+
- sft
|
| 9 |
+
- transformers
|
| 10 |
+
- trl
|
| 11 |
+
---
|
| 12 |
+
|
| 13 |
+
# Model Card for Model ID
|
| 14 |
+
|
| 15 |
+
<!-- Provide a quick summary of what the model is/does. -->
|
| 16 |
+
|
| 17 |
+
|
| 18 |
+
|
| 19 |
+
## Model Details
|
| 20 |
+
|
| 21 |
+
### Model Description
|
| 22 |
+
|
| 23 |
+
<!-- Provide a longer summary of what this model is. -->
|
| 24 |
+
|
| 25 |
+
|
| 26 |
+
|
| 27 |
+
- **Developed by:** [More Information Needed]
|
| 28 |
+
- **Funded by [optional]:** [More Information Needed]
|
| 29 |
+
- **Shared by [optional]:** [More Information Needed]
|
| 30 |
+
- **Model type:** [More Information Needed]
|
| 31 |
+
- **Language(s) (NLP):** [More Information Needed]
|
| 32 |
+
- **License:** [More Information Needed]
|
| 33 |
+
- **Finetuned from model [optional]:** [More Information Needed]
|
| 34 |
+
|
| 35 |
+
### Model Sources [optional]
|
| 36 |
+
|
| 37 |
+
<!-- Provide the basic links for the model. -->
|
| 38 |
+
|
| 39 |
+
- **Repository:** [More Information Needed]
|
| 40 |
+
- **Paper [optional]:** [More Information Needed]
|
| 41 |
+
- **Demo [optional]:** [More Information Needed]
|
| 42 |
+
|
| 43 |
+
## Uses
|
| 44 |
+
|
| 45 |
+
<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
|
| 46 |
+
|
| 47 |
+
### Direct Use
|
| 48 |
+
|
| 49 |
+
<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
|
| 50 |
+
|
| 51 |
+
[More Information Needed]
|
| 52 |
+
|
| 53 |
+
### Downstream Use [optional]
|
| 54 |
+
|
| 55 |
+
<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
|
| 56 |
+
|
| 57 |
+
[More Information Needed]
|
| 58 |
+
|
| 59 |
+
### Out-of-Scope Use
|
| 60 |
+
|
| 61 |
+
<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
|
| 62 |
+
|
| 63 |
+
[More Information Needed]
|
| 64 |
+
|
| 65 |
+
## Bias, Risks, and Limitations
|
| 66 |
+
|
| 67 |
+
<!-- This section is meant to convey both technical and sociotechnical limitations. -->
|
| 68 |
+
|
| 69 |
+
[More Information Needed]
|
| 70 |
+
|
| 71 |
+
### Recommendations
|
| 72 |
+
|
| 73 |
+
<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
|
| 74 |
+
|
| 75 |
+
Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
|
| 76 |
+
|
| 77 |
+
## How to Get Started with the Model
|
| 78 |
+
|
| 79 |
+
Use the code below to get started with the model.
|
| 80 |
+
|
| 81 |
+
[More Information Needed]
|
| 82 |
+
|
| 83 |
+
## Training Details
|
| 84 |
+
|
| 85 |
+
### Training Data
|
| 86 |
+
|
| 87 |
+
<!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
|
| 88 |
+
|
| 89 |
+
[More Information Needed]
|
| 90 |
+
|
| 91 |
+
### Training Procedure
|
| 92 |
+
|
| 93 |
+
<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
|
| 94 |
+
|
| 95 |
+
#### Preprocessing [optional]
|
| 96 |
+
|
| 97 |
+
[More Information Needed]
|
| 98 |
+
|
| 99 |
+
|
| 100 |
+
#### Training Hyperparameters
|
| 101 |
+
|
| 102 |
+
- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
|
| 103 |
+
|
| 104 |
+
#### Speeds, Sizes, Times [optional]
|
| 105 |
+
|
| 106 |
+
<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
|
| 107 |
+
|
| 108 |
+
[More Information Needed]
|
| 109 |
+
|
| 110 |
+
## Evaluation
|
| 111 |
+
|
| 112 |
+
<!-- This section describes the evaluation protocols and provides the results. -->
|
| 113 |
+
|
| 114 |
+
### Testing Data, Factors & Metrics
|
| 115 |
+
|
| 116 |
+
#### Testing Data
|
| 117 |
+
|
| 118 |
+
<!-- This should link to a Dataset Card if possible. -->
|
| 119 |
+
|
| 120 |
+
[More Information Needed]
|
| 121 |
+
|
| 122 |
+
#### Factors
|
| 123 |
+
|
| 124 |
+
<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
|
| 125 |
+
|
| 126 |
+
[More Information Needed]
|
| 127 |
+
|
| 128 |
+
#### Metrics
|
| 129 |
+
|
| 130 |
+
<!-- These are the evaluation metrics being used, ideally with a description of why. -->
|
| 131 |
+
|
| 132 |
+
[More Information Needed]
|
| 133 |
+
|
| 134 |
+
### Results
|
| 135 |
+
|
| 136 |
+
[More Information Needed]
|
| 137 |
+
|
| 138 |
+
#### Summary
|
| 139 |
+
|
| 140 |
+
|
| 141 |
+
|
| 142 |
+
## Model Examination [optional]
|
| 143 |
+
|
| 144 |
+
<!-- Relevant interpretability work for the model goes here -->
|
| 145 |
+
|
| 146 |
+
[More Information Needed]
|
| 147 |
+
|
| 148 |
+
## Environmental Impact
|
| 149 |
+
|
| 150 |
+
<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
|
| 151 |
+
|
| 152 |
+
Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
|
| 153 |
+
|
| 154 |
+
- **Hardware Type:** [More Information Needed]
|
| 155 |
+
- **Hours used:** [More Information Needed]
|
| 156 |
+
- **Cloud Provider:** [More Information Needed]
|
| 157 |
+
- **Compute Region:** [More Information Needed]
|
| 158 |
+
- **Carbon Emitted:** [More Information Needed]
|
| 159 |
+
|
| 160 |
+
## Technical Specifications [optional]
|
| 161 |
+
|
| 162 |
+
### Model Architecture and Objective
|
| 163 |
+
|
| 164 |
+
[More Information Needed]
|
| 165 |
+
|
| 166 |
+
### Compute Infrastructure
|
| 167 |
+
|
| 168 |
+
[More Information Needed]
|
| 169 |
+
|
| 170 |
+
#### Hardware
|
| 171 |
+
|
| 172 |
+
[More Information Needed]
|
| 173 |
+
|
| 174 |
+
#### Software
|
| 175 |
+
|
| 176 |
+
[More Information Needed]
|
| 177 |
+
|
| 178 |
+
## Citation [optional]
|
| 179 |
+
|
| 180 |
+
<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
|
| 181 |
+
|
| 182 |
+
**BibTeX:**
|
| 183 |
+
|
| 184 |
+
[More Information Needed]
|
| 185 |
+
|
| 186 |
+
**APA:**
|
| 187 |
+
|
| 188 |
+
[More Information Needed]
|
| 189 |
+
|
| 190 |
+
## Glossary [optional]
|
| 191 |
+
|
| 192 |
+
<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
|
| 193 |
+
|
| 194 |
+
[More Information Needed]
|
| 195 |
+
|
| 196 |
+
## More Information [optional]
|
| 197 |
+
|
| 198 |
+
[More Information Needed]
|
| 199 |
+
|
| 200 |
+
## Model Card Authors [optional]
|
| 201 |
+
|
| 202 |
+
[More Information Needed]
|
| 203 |
+
|
| 204 |
+
## Model Card Contact
|
| 205 |
+
|
| 206 |
+
[More Information Needed]
|
| 207 |
+
### Framework versions
|
| 208 |
+
|
| 209 |
+
- PEFT 0.18.1
|
baby_talk_L16_a50/seed_42/checkpoint-5201/adapter_config.json
ADDED
|
@@ -0,0 +1,46 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"alora_invocation_tokens": null,
|
| 3 |
+
"alpha_pattern": {},
|
| 4 |
+
"arrow_config": null,
|
| 5 |
+
"auto_mapping": null,
|
| 6 |
+
"base_model_name_or_path": "Qwen/Qwen2.5-7B-Instruct",
|
| 7 |
+
"bias": "none",
|
| 8 |
+
"corda_config": null,
|
| 9 |
+
"ensure_weight_tying": false,
|
| 10 |
+
"eva_config": null,
|
| 11 |
+
"exclude_modules": null,
|
| 12 |
+
"fan_in_fan_out": false,
|
| 13 |
+
"inference_mode": true,
|
| 14 |
+
"init_lora_weights": true,
|
| 15 |
+
"layer_replication": null,
|
| 16 |
+
"layers_pattern": null,
|
| 17 |
+
"layers_to_transform": null,
|
| 18 |
+
"loftq_config": {},
|
| 19 |
+
"lora_alpha": 32,
|
| 20 |
+
"lora_bias": false,
|
| 21 |
+
"lora_dropout": 0.05,
|
| 22 |
+
"megatron_config": null,
|
| 23 |
+
"megatron_core": "megatron.core",
|
| 24 |
+
"modules_to_save": null,
|
| 25 |
+
"peft_type": "LORA",
|
| 26 |
+
"peft_version": "0.18.1",
|
| 27 |
+
"qalora_group_size": 16,
|
| 28 |
+
"r": 8,
|
| 29 |
+
"rank_pattern": {},
|
| 30 |
+
"revision": null,
|
| 31 |
+
"target_modules": [
|
| 32 |
+
"v_proj",
|
| 33 |
+
"gate_proj",
|
| 34 |
+
"o_proj",
|
| 35 |
+
"q_proj",
|
| 36 |
+
"up_proj",
|
| 37 |
+
"down_proj",
|
| 38 |
+
"k_proj"
|
| 39 |
+
],
|
| 40 |
+
"target_parameters": null,
|
| 41 |
+
"task_type": "CAUSAL_LM",
|
| 42 |
+
"trainable_token_indices": null,
|
| 43 |
+
"use_dora": false,
|
| 44 |
+
"use_qalora": false,
|
| 45 |
+
"use_rslora": false
|
| 46 |
+
}
|
baby_talk_L16_a50/seed_42/checkpoint-5201/adapter_model.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:88d555221f6e593a18115c5e50a575aea4bc5817d56745baecbe8d07df0e6cea
|
| 3 |
+
size 80792096
|
baby_talk_L16_a50/seed_42/checkpoint-5201/chat_template.jinja
ADDED
|
@@ -0,0 +1,54 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{%- if tools %}
|
| 2 |
+
{{- '<|im_start|>system\n' }}
|
| 3 |
+
{%- if messages[0]['role'] == 'system' %}
|
| 4 |
+
{{- messages[0]['content'] }}
|
| 5 |
+
{%- else %}
|
| 6 |
+
{{- 'You are Qwen, created by Alibaba Cloud. You are a helpful assistant.' }}
|
| 7 |
+
{%- endif %}
|
| 8 |
+
{{- "\n\n# Tools\n\nYou may call one or more functions to assist with the user query.\n\nYou are provided with function signatures within <tools></tools> XML tags:\n<tools>" }}
|
| 9 |
+
{%- for tool in tools %}
|
| 10 |
+
{{- "\n" }}
|
| 11 |
+
{{- tool | tojson }}
|
| 12 |
+
{%- endfor %}
|
| 13 |
+
{{- "\n</tools>\n\nFor each function call, return a json object with function name and arguments within <tool_call></tool_call> XML tags:\n<tool_call>\n{\"name\": <function-name>, \"arguments\": <args-json-object>}\n</tool_call><|im_end|>\n" }}
|
| 14 |
+
{%- else %}
|
| 15 |
+
{%- if messages[0]['role'] == 'system' %}
|
| 16 |
+
{{- '<|im_start|>system\n' + messages[0]['content'] + '<|im_end|>\n' }}
|
| 17 |
+
{%- else %}
|
| 18 |
+
{{- '<|im_start|>system\nYou are Qwen, created by Alibaba Cloud. You are a helpful assistant.<|im_end|>\n' }}
|
| 19 |
+
{%- endif %}
|
| 20 |
+
{%- endif %}
|
| 21 |
+
{%- for message in messages %}
|
| 22 |
+
{%- if (message.role == "user") or (message.role == "system" and not loop.first) or (message.role == "assistant" and not message.tool_calls) %}
|
| 23 |
+
{{- '<|im_start|>' + message.role + '\n' + message.content + '<|im_end|>' + '\n' }}
|
| 24 |
+
{%- elif message.role == "assistant" %}
|
| 25 |
+
{{- '<|im_start|>' + message.role }}
|
| 26 |
+
{%- if message.content %}
|
| 27 |
+
{{- '\n' + message.content }}
|
| 28 |
+
{%- endif %}
|
| 29 |
+
{%- for tool_call in message.tool_calls %}
|
| 30 |
+
{%- if tool_call.function is defined %}
|
| 31 |
+
{%- set tool_call = tool_call.function %}
|
| 32 |
+
{%- endif %}
|
| 33 |
+
{{- '\n<tool_call>\n{"name": "' }}
|
| 34 |
+
{{- tool_call.name }}
|
| 35 |
+
{{- '", "arguments": ' }}
|
| 36 |
+
{{- tool_call.arguments | tojson }}
|
| 37 |
+
{{- '}\n</tool_call>' }}
|
| 38 |
+
{%- endfor %}
|
| 39 |
+
{{- '<|im_end|>\n' }}
|
| 40 |
+
{%- elif message.role == "tool" %}
|
| 41 |
+
{%- if (loop.index0 == 0) or (messages[loop.index0 - 1].role != "tool") %}
|
| 42 |
+
{{- '<|im_start|>user' }}
|
| 43 |
+
{%- endif %}
|
| 44 |
+
{{- '\n<tool_response>\n' }}
|
| 45 |
+
{{- message.content }}
|
| 46 |
+
{{- '\n</tool_response>' }}
|
| 47 |
+
{%- if loop.last or (messages[loop.index0 + 1].role != "tool") %}
|
| 48 |
+
{{- '<|im_end|>\n' }}
|
| 49 |
+
{%- endif %}
|
| 50 |
+
{%- endif %}
|
| 51 |
+
{%- endfor %}
|
| 52 |
+
{%- if add_generation_prompt %}
|
| 53 |
+
{{- '<|im_start|>assistant\n' }}
|
| 54 |
+
{%- endif %}
|