Instructions to use brikdavies/qwen1.7B-MMLU-hint-following-RL with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use brikdavies/qwen1.7B-MMLU-hint-following-RL with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("brikdavies/qwen1.7B-MMLU-hint-following-RL", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Upload checkpoint-50/trainer_state.json with huggingface_hub
Browse files- checkpoint-50/trainer_state.json +1734 -0
checkpoint-50/trainer_state.json
ADDED
|
@@ -0,0 +1,1734 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"best_global_step": null,
|
| 3 |
+
"best_metric": null,
|
| 4 |
+
"best_model_checkpoint": null,
|
| 5 |
+
"epoch": 0.021367521367521368,
|
| 6 |
+
"eval_steps": 500,
|
| 7 |
+
"global_step": 50,
|
| 8 |
+
"is_hyper_param_search": false,
|
| 9 |
+
"is_local_process_zero": true,
|
| 10 |
+
"is_world_process_zero": true,
|
| 11 |
+
"log_history": [
|
| 12 |
+
{
|
| 13 |
+
"clip_ratio/high_max": 0.0,
|
| 14 |
+
"clip_ratio/high_mean": 0.0,
|
| 15 |
+
"clip_ratio/low_mean": 0.0,
|
| 16 |
+
"clip_ratio/low_min": 0.0,
|
| 17 |
+
"clip_ratio/region_mean": 0.0,
|
| 18 |
+
"completions/clipped_ratio": 0.5555555820465088,
|
| 19 |
+
"completions/max_length": 3000.0,
|
| 20 |
+
"completions/max_terminated_length": 2837.0,
|
| 21 |
+
"completions/mean_length": 2626.97216796875,
|
| 22 |
+
"completions/mean_terminated_length": 2160.6875,
|
| 23 |
+
"completions/min_length": 1285.0,
|
| 24 |
+
"completions/min_terminated_length": 1285.0,
|
| 25 |
+
"entropy": 0.17718915144602457,
|
| 26 |
+
"epoch": 0.00042735042735042735,
|
| 27 |
+
"frac_reward_zero_std": 0.0,
|
| 28 |
+
"grad_norm": 0.07994551956653595,
|
| 29 |
+
"learning_rate": 0.0,
|
| 30 |
+
"loss": 0.0468,
|
| 31 |
+
"num_tokens": 102485.0,
|
| 32 |
+
"reward": -1.153435230255127,
|
| 33 |
+
"reward_std": 1.0195810794830322,
|
| 34 |
+
"rewards/hint_following/mean": -0.2777777910232544,
|
| 35 |
+
"rewards/hint_following/std": 0.8819171190261841,
|
| 36 |
+
"rewards/length_penalty/mean": -0.8756573796272278,
|
| 37 |
+
"rewards/length_penalty/std": 0.17644810676574707,
|
| 38 |
+
"sampling/importance_sampling_ratio/max": 3.0,
|
| 39 |
+
"sampling/importance_sampling_ratio/mean": 0.9937517642974854,
|
| 40 |
+
"sampling/importance_sampling_ratio/min": 0.16920268535614014,
|
| 41 |
+
"sampling/sampling_logp_difference/max": 1.7766579389572144,
|
| 42 |
+
"sampling/sampling_logp_difference/mean": 0.02078823931515217,
|
| 43 |
+
"step": 1,
|
| 44 |
+
"step_time": 67.38753714214545
|
| 45 |
+
},
|
| 46 |
+
{
|
| 47 |
+
"clip_ratio/high_max": 0.0,
|
| 48 |
+
"clip_ratio/high_mean": 0.0,
|
| 49 |
+
"clip_ratio/low_mean": 0.0,
|
| 50 |
+
"clip_ratio/low_min": 0.0,
|
| 51 |
+
"clip_ratio/region_mean": 0.0,
|
| 52 |
+
"completions/clipped_ratio": 0.25,
|
| 53 |
+
"completions/max_length": 3000.0,
|
| 54 |
+
"completions/max_terminated_length": 2961.0,
|
| 55 |
+
"completions/mean_length": 1809.4444580078125,
|
| 56 |
+
"completions/mean_terminated_length": 1412.5926513671875,
|
| 57 |
+
"completions/min_length": 858.0,
|
| 58 |
+
"completions/min_terminated_length": 858.0,
|
| 59 |
+
"entropy": 0.1950028215845426,
|
| 60 |
+
"epoch": 0.0008547008547008547,
|
| 61 |
+
"frac_reward_zero_std": 0.0,
|
| 62 |
+
"grad_norm": 0.07918090373277664,
|
| 63 |
+
"learning_rate": 3.846153846153847e-06,
|
| 64 |
+
"loss": 0.022,
|
| 65 |
+
"num_tokens": 177279.0,
|
| 66 |
+
"reward": -0.4642592668533325,
|
| 67 |
+
"reward_std": 1.043834924697876,
|
| 68 |
+
"rewards/hint_following/mean": 0.1388888955116272,
|
| 69 |
+
"rewards/hint_following/std": 0.798311710357666,
|
| 70 |
+
"rewards/length_penalty/mean": -0.6031482219696045,
|
| 71 |
+
"rewards/length_penalty/std": 0.28368300199508667,
|
| 72 |
+
"sampling/importance_sampling_ratio/max": 2.0890045166015625,
|
| 73 |
+
"sampling/importance_sampling_ratio/mean": 0.9933527708053589,
|
| 74 |
+
"sampling/importance_sampling_ratio/min": 0.29880645871162415,
|
| 75 |
+
"sampling/sampling_logp_difference/max": 1.2079591751098633,
|
| 76 |
+
"sampling/sampling_logp_difference/mean": 0.021868562325835228,
|
| 77 |
+
"step": 2,
|
| 78 |
+
"step_time": 59.25448451703414
|
| 79 |
+
},
|
| 80 |
+
{
|
| 81 |
+
"clip_ratio/high_max": 0.007054112308348219,
|
| 82 |
+
"clip_ratio/high_mean": 0.007054112308348219,
|
| 83 |
+
"clip_ratio/low_mean": 0.0024281112127937376,
|
| 84 |
+
"clip_ratio/low_min": 0.0024281112127937376,
|
| 85 |
+
"clip_ratio/region_mean": 0.009482223695764938,
|
| 86 |
+
"completions/clipped_ratio": 0.1666666716337204,
|
| 87 |
+
"completions/max_length": 3000.0,
|
| 88 |
+
"completions/max_terminated_length": 2411.0,
|
| 89 |
+
"completions/mean_length": 1750.8055419921875,
|
| 90 |
+
"completions/mean_terminated_length": 1500.966796875,
|
| 91 |
+
"completions/min_length": 939.0,
|
| 92 |
+
"completions/min_terminated_length": 939.0,
|
| 93 |
+
"entropy": 0.1983068659901619,
|
| 94 |
+
"epoch": 0.001282051282051282,
|
| 95 |
+
"frac_reward_zero_std": 0.0,
|
| 96 |
+
"grad_norm": 0.06695634126663208,
|
| 97 |
+
"learning_rate": 7.692307692307694e-06,
|
| 98 |
+
"loss": 0.0035,
|
| 99 |
+
"num_tokens": 245288.0,
|
| 100 |
+
"reward": -0.25026851892471313,
|
| 101 |
+
"reward_std": 0.9555131196975708,
|
| 102 |
+
"rewards/hint_following/mean": 0.3333333432674408,
|
| 103 |
+
"rewards/hint_following/std": 0.7559289932250977,
|
| 104 |
+
"rewards/length_penalty/mean": -0.5836018323898315,
|
| 105 |
+
"rewards/length_penalty/std": 0.22866536676883698,
|
| 106 |
+
"sampling/importance_sampling_ratio/max": 2.208913803100586,
|
| 107 |
+
"sampling/importance_sampling_ratio/mean": 0.9931869506835938,
|
| 108 |
+
"sampling/importance_sampling_ratio/min": 0.30834895372390747,
|
| 109 |
+
"sampling/sampling_logp_difference/max": 1.176523208618164,
|
| 110 |
+
"sampling/sampling_logp_difference/mean": 0.022443262860178947,
|
| 111 |
+
"step": 3,
|
| 112 |
+
"step_time": 55.47524960897863
|
| 113 |
+
},
|
| 114 |
+
{
|
| 115 |
+
"clip_ratio/high_max": 0.0025329499427850046,
|
| 116 |
+
"clip_ratio/high_mean": 0.0025329499427850046,
|
| 117 |
+
"clip_ratio/low_mean": 0.0070530143566429615,
|
| 118 |
+
"clip_ratio/low_min": 0.0070530143566429615,
|
| 119 |
+
"clip_ratio/region_mean": 0.009585964183012644,
|
| 120 |
+
"completions/clipped_ratio": 0.472222238779068,
|
| 121 |
+
"completions/max_length": 3000.0,
|
| 122 |
+
"completions/max_terminated_length": 2857.0,
|
| 123 |
+
"completions/mean_length": 2469.27783203125,
|
| 124 |
+
"completions/mean_terminated_length": 1994.4210205078125,
|
| 125 |
+
"completions/min_length": 627.0,
|
| 126 |
+
"completions/min_terminated_length": 627.0,
|
| 127 |
+
"entropy": 0.1949674834807714,
|
| 128 |
+
"epoch": 0.0017094017094017094,
|
| 129 |
+
"frac_reward_zero_std": 0.0,
|
| 130 |
+
"grad_norm": 0.08172055333852768,
|
| 131 |
+
"learning_rate": 1.153846153846154e-05,
|
| 132 |
+
"loss": 0.0355,
|
| 133 |
+
"num_tokens": 339768.0,
|
| 134 |
+
"reward": -1.0453147888183594,
|
| 135 |
+
"reward_std": 0.8787956237792969,
|
| 136 |
+
"rewards/hint_following/mean": -0.2222222238779068,
|
| 137 |
+
"rewards/hint_following/std": 0.7601169347763062,
|
| 138 |
+
"rewards/length_penalty/mean": -0.8230926394462585,
|
| 139 |
+
"rewards/length_penalty/std": 0.2654260993003845,
|
| 140 |
+
"sampling/importance_sampling_ratio/max": 3.0,
|
| 141 |
+
"sampling/importance_sampling_ratio/mean": 0.993114173412323,
|
| 142 |
+
"sampling/importance_sampling_ratio/min": 0.19437530636787415,
|
| 143 |
+
"sampling/sampling_logp_difference/max": 1.6379644870758057,
|
| 144 |
+
"sampling/sampling_logp_difference/mean": 0.022510718554258347,
|
| 145 |
+
"step": 4,
|
| 146 |
+
"step_time": 62.77226335310843
|
| 147 |
+
},
|
| 148 |
+
{
|
| 149 |
+
"clip_ratio/high_max": 0.001851275311006854,
|
| 150 |
+
"clip_ratio/high_mean": 0.001851275311006854,
|
| 151 |
+
"clip_ratio/low_mean": 0.00705820966201524,
|
| 152 |
+
"clip_ratio/low_min": 0.00705820966201524,
|
| 153 |
+
"clip_ratio/region_mean": 0.008909484914814433,
|
| 154 |
+
"completions/clipped_ratio": 0.4166666567325592,
|
| 155 |
+
"completions/max_length": 3000.0,
|
| 156 |
+
"completions/max_terminated_length": 2915.0,
|
| 157 |
+
"completions/mean_length": 2362.8056640625,
|
| 158 |
+
"completions/mean_terminated_length": 1907.666748046875,
|
| 159 |
+
"completions/min_length": 1109.0,
|
| 160 |
+
"completions/min_terminated_length": 1109.0,
|
| 161 |
+
"entropy": 0.18256587783495584,
|
| 162 |
+
"epoch": 0.002136752136752137,
|
| 163 |
+
"frac_reward_zero_std": 0.0,
|
| 164 |
+
"grad_norm": 0.072978176176548,
|
| 165 |
+
"learning_rate": 1.5384615384615387e-05,
|
| 166 |
+
"loss": 0.1055,
|
| 167 |
+
"num_tokens": 431687.0,
|
| 168 |
+
"reward": -0.9264907836914062,
|
| 169 |
+
"reward_std": 1.0278923511505127,
|
| 170 |
+
"rewards/hint_following/mean": -0.1388888955116272,
|
| 171 |
+
"rewards/hint_following/std": 0.8333333730697632,
|
| 172 |
+
"rewards/length_penalty/mean": -0.787601888179779,
|
| 173 |
+
"rewards/length_penalty/std": 0.2262839674949646,
|
| 174 |
+
"sampling/importance_sampling_ratio/max": 2.5575737953186035,
|
| 175 |
+
"sampling/importance_sampling_ratio/mean": 0.9932507872581482,
|
| 176 |
+
"sampling/importance_sampling_ratio/min": 0.2952674627304077,
|
| 177 |
+
"sampling/sampling_logp_difference/max": 1.2198736667633057,
|
| 178 |
+
"sampling/sampling_logp_difference/mean": 0.020803121849894524,
|
| 179 |
+
"step": 5,
|
| 180 |
+
"step_time": 61.06088067602832
|
| 181 |
+
},
|
| 182 |
+
{
|
| 183 |
+
"clip_ratio/high_max": 0.0030960943549871445,
|
| 184 |
+
"clip_ratio/high_mean": 0.0030960943549871445,
|
| 185 |
+
"clip_ratio/low_mean": 0.006137795591106017,
|
| 186 |
+
"clip_ratio/low_min": 0.006137795591106017,
|
| 187 |
+
"clip_ratio/region_mean": 0.009233890101313591,
|
| 188 |
+
"completions/clipped_ratio": 0.4166666567325592,
|
| 189 |
+
"completions/max_length": 3000.0,
|
| 190 |
+
"completions/max_terminated_length": 2929.0,
|
| 191 |
+
"completions/mean_length": 2417.444580078125,
|
| 192 |
+
"completions/mean_terminated_length": 2001.3333740234375,
|
| 193 |
+
"completions/min_length": 1434.0,
|
| 194 |
+
"completions/min_terminated_length": 1434.0,
|
| 195 |
+
"entropy": 0.1919809157649676,
|
| 196 |
+
"epoch": 0.002564102564102564,
|
| 197 |
+
"frac_reward_zero_std": 0.0,
|
| 198 |
+
"grad_norm": 0.07703683525323868,
|
| 199 |
+
"learning_rate": 1.923076923076923e-05,
|
| 200 |
+
"loss": 0.1019,
|
| 201 |
+
"num_tokens": 525555.0,
|
| 202 |
+
"reward": -0.7224815487861633,
|
| 203 |
+
"reward_std": 1.1388682126998901,
|
| 204 |
+
"rewards/hint_following/mean": 0.0833333358168602,
|
| 205 |
+
"rewards/hint_following/std": 0.9673232436180115,
|
| 206 |
+
"rewards/length_penalty/mean": -0.8058148622512817,
|
| 207 |
+
"rewards/length_penalty/std": 0.18899519741535187,
|
| 208 |
+
"sampling/importance_sampling_ratio/max": 2.9181816577911377,
|
| 209 |
+
"sampling/importance_sampling_ratio/mean": 0.9935172200202942,
|
| 210 |
+
"sampling/importance_sampling_ratio/min": 0.14165793359279633,
|
| 211 |
+
"sampling/sampling_logp_difference/max": 1.9543399810791016,
|
| 212 |
+
"sampling/sampling_logp_difference/mean": 0.021658122539520264,
|
| 213 |
+
"step": 6,
|
| 214 |
+
"step_time": 64.93633897381369
|
| 215 |
+
},
|
| 216 |
+
{
|
| 217 |
+
"clip_ratio/high_max": 0.004218692930104832,
|
| 218 |
+
"clip_ratio/high_mean": 0.004218692930104832,
|
| 219 |
+
"clip_ratio/low_mean": 0.0048820926652600365,
|
| 220 |
+
"clip_ratio/low_min": 0.0048820926652600365,
|
| 221 |
+
"clip_ratio/region_mean": 0.009100785556559762,
|
| 222 |
+
"completions/clipped_ratio": 0.2222222238779068,
|
| 223 |
+
"completions/max_length": 3000.0,
|
| 224 |
+
"completions/max_terminated_length": 2933.0,
|
| 225 |
+
"completions/mean_length": 2029.0833740234375,
|
| 226 |
+
"completions/mean_terminated_length": 1751.6785888671875,
|
| 227 |
+
"completions/min_length": 1009.0,
|
| 228 |
+
"completions/min_terminated_length": 1009.0,
|
| 229 |
+
"entropy": 0.20896865924199423,
|
| 230 |
+
"epoch": 0.0029914529914529917,
|
| 231 |
+
"frac_reward_zero_std": 0.0,
|
| 232 |
+
"grad_norm": 0.07187572866678238,
|
| 233 |
+
"learning_rate": 2.307692307692308e-05,
|
| 234 |
+
"loss": 0.0798,
|
| 235 |
+
"num_tokens": 606186.0,
|
| 236 |
+
"reward": -0.4819166362285614,
|
| 237 |
+
"reward_std": 0.9970327019691467,
|
| 238 |
+
"rewards/hint_following/mean": 0.1944444477558136,
|
| 239 |
+
"rewards/hint_following/std": 0.7862913012504578,
|
| 240 |
+
"rewards/length_penalty/mean": -0.676361083984375,
|
| 241 |
+
"rewards/length_penalty/std": 0.2366827428340912,
|
| 242 |
+
"sampling/importance_sampling_ratio/max": 2.6964023113250732,
|
| 243 |
+
"sampling/importance_sampling_ratio/mean": 0.9927431344985962,
|
| 244 |
+
"sampling/importance_sampling_ratio/min": 0.21346372365951538,
|
| 245 |
+
"sampling/sampling_logp_difference/max": 1.5442883968353271,
|
| 246 |
+
"sampling/sampling_logp_difference/mean": 0.022996528074145317,
|
| 247 |
+
"step": 7,
|
| 248 |
+
"step_time": 59.43198294797912
|
| 249 |
+
},
|
| 250 |
+
{
|
| 251 |
+
"clip_ratio/high_max": 0.007654782539854447,
|
| 252 |
+
"clip_ratio/high_mean": 0.007654782539854447,
|
| 253 |
+
"clip_ratio/low_mean": 0.002519401100774606,
|
| 254 |
+
"clip_ratio/low_min": 0.002519401100774606,
|
| 255 |
+
"clip_ratio/region_mean": 0.010174183640629053,
|
| 256 |
+
"completions/clipped_ratio": 0.1666666716337204,
|
| 257 |
+
"completions/max_length": 3000.0,
|
| 258 |
+
"completions/max_terminated_length": 2957.0,
|
| 259 |
+
"completions/mean_length": 2227.97216796875,
|
| 260 |
+
"completions/mean_terminated_length": 2073.56689453125,
|
| 261 |
+
"completions/min_length": 1197.0,
|
| 262 |
+
"completions/min_terminated_length": 1197.0,
|
| 263 |
+
"entropy": 0.19751630226771036,
|
| 264 |
+
"epoch": 0.003418803418803419,
|
| 265 |
+
"frac_reward_zero_std": 0.0,
|
| 266 |
+
"grad_norm": 0.08499564230442047,
|
| 267 |
+
"learning_rate": 2.6923076923076923e-05,
|
| 268 |
+
"loss": 0.0572,
|
| 269 |
+
"num_tokens": 692279.0,
|
| 270 |
+
"reward": -0.4093240797519684,
|
| 271 |
+
"reward_std": 0.8091796040534973,
|
| 272 |
+
"rewards/hint_following/mean": 0.3333333432674408,
|
| 273 |
+
"rewards/hint_following/std": 0.7171371579170227,
|
| 274 |
+
"rewards/length_penalty/mean": -0.7426574230194092,
|
| 275 |
+
"rewards/length_penalty/std": 0.19112928211688995,
|
| 276 |
+
"sampling/importance_sampling_ratio/max": 2.491806745529175,
|
| 277 |
+
"sampling/importance_sampling_ratio/mean": 0.9929631352424622,
|
| 278 |
+
"sampling/importance_sampling_ratio/min": 0.3287244141101837,
|
| 279 |
+
"sampling/sampling_logp_difference/max": 1.1125354766845703,
|
| 280 |
+
"sampling/sampling_logp_difference/mean": 0.021952621638774872,
|
| 281 |
+
"step": 8,
|
| 282 |
+
"step_time": 60.087568536167964
|
| 283 |
+
},
|
| 284 |
+
{
|
| 285 |
+
"clip_ratio/high_max": 0.007754642438764374,
|
| 286 |
+
"clip_ratio/high_mean": 0.007754642438764374,
|
| 287 |
+
"clip_ratio/low_mean": 0.0032427439582534134,
|
| 288 |
+
"clip_ratio/low_min": 0.0032427439582534134,
|
| 289 |
+
"clip_ratio/region_mean": 0.010997386649250984,
|
| 290 |
+
"completions/clipped_ratio": 0.1111111119389534,
|
| 291 |
+
"completions/max_length": 3000.0,
|
| 292 |
+
"completions/max_terminated_length": 2948.0,
|
| 293 |
+
"completions/mean_length": 2034.2222900390625,
|
| 294 |
+
"completions/mean_terminated_length": 1913.5,
|
| 295 |
+
"completions/min_length": 778.0,
|
| 296 |
+
"completions/min_terminated_length": 778.0,
|
| 297 |
+
"entropy": 0.21248381833235422,
|
| 298 |
+
"epoch": 0.0038461538461538464,
|
| 299 |
+
"frac_reward_zero_std": 0.0,
|
| 300 |
+
"grad_norm": 0.07896988093852997,
|
| 301 |
+
"learning_rate": 3.0769230769230774e-05,
|
| 302 |
+
"loss": 0.0952,
|
| 303 |
+
"num_tokens": 771241.0,
|
| 304 |
+
"reward": -0.28918519616127014,
|
| 305 |
+
"reward_std": 0.7873722314834595,
|
| 306 |
+
"rewards/hint_following/mean": 0.3888888955116272,
|
| 307 |
+
"rewards/hint_following/std": 0.6877615451812744,
|
| 308 |
+
"rewards/length_penalty/mean": -0.6780741214752197,
|
| 309 |
+
"rewards/length_penalty/std": 0.22194787859916687,
|
| 310 |
+
"sampling/importance_sampling_ratio/max": 2.757654905319214,
|
| 311 |
+
"sampling/importance_sampling_ratio/mean": 0.9926807880401611,
|
| 312 |
+
"sampling/importance_sampling_ratio/min": 0.19047939777374268,
|
| 313 |
+
"sampling/sampling_logp_difference/max": 1.6582112312316895,
|
| 314 |
+
"sampling/sampling_logp_difference/mean": 0.02367428131401539,
|
| 315 |
+
"step": 9,
|
| 316 |
+
"step_time": 58.2687593010487
|
| 317 |
+
},
|
| 318 |
+
{
|
| 319 |
+
"clip_ratio/high_max": 0.0022279491822700948,
|
| 320 |
+
"clip_ratio/high_mean": 0.0022279491822700948,
|
| 321 |
+
"clip_ratio/low_mean": 0.0019324645400047302,
|
| 322 |
+
"clip_ratio/low_min": 0.0019324645400047302,
|
| 323 |
+
"clip_ratio/region_mean": 0.004160413751378655,
|
| 324 |
+
"completions/clipped_ratio": 0.3611111044883728,
|
| 325 |
+
"completions/max_length": 3000.0,
|
| 326 |
+
"completions/max_terminated_length": 2960.0,
|
| 327 |
+
"completions/mean_length": 2266.111083984375,
|
| 328 |
+
"completions/mean_terminated_length": 1851.3043212890625,
|
| 329 |
+
"completions/min_length": 784.0,
|
| 330 |
+
"completions/min_terminated_length": 784.0,
|
| 331 |
+
"entropy": 0.20578551292419434,
|
| 332 |
+
"epoch": 0.004273504273504274,
|
| 333 |
+
"frac_reward_zero_std": 0.0,
|
| 334 |
+
"grad_norm": 0.06615690886974335,
|
| 335 |
+
"learning_rate": 3.461538461538462e-05,
|
| 336 |
+
"loss": 0.0543,
|
| 337 |
+
"num_tokens": 858521.0,
|
| 338 |
+
"reward": -0.5331481099128723,
|
| 339 |
+
"reward_std": 1.1243869066238403,
|
| 340 |
+
"rewards/hint_following/mean": 0.2222222238779068,
|
| 341 |
+
"rewards/hint_following/std": 0.929242730140686,
|
| 342 |
+
"rewards/length_penalty/mean": -0.7553703784942627,
|
| 343 |
+
"rewards/length_penalty/std": 0.23448802530765533,
|
| 344 |
+
"sampling/importance_sampling_ratio/max": 2.0015952587127686,
|
| 345 |
+
"sampling/importance_sampling_ratio/mean": 0.9925298094749451,
|
| 346 |
+
"sampling/importance_sampling_ratio/min": 0.30108708143234253,
|
| 347 |
+
"sampling/sampling_logp_difference/max": 1.2003557682037354,
|
| 348 |
+
"sampling/sampling_logp_difference/mean": 0.021938424557447433,
|
| 349 |
+
"step": 10,
|
| 350 |
+
"step_time": 60.113012868212536
|
| 351 |
+
},
|
| 352 |
+
{
|
| 353 |
+
"clip_ratio/high_max": 0.002628828883947184,
|
| 354 |
+
"clip_ratio/high_mean": 0.002628828883947184,
|
| 355 |
+
"clip_ratio/low_mean": 0.0007913654941755036,
|
| 356 |
+
"clip_ratio/low_min": 0.0007913654941755036,
|
| 357 |
+
"clip_ratio/region_mean": 0.0034201944169277945,
|
| 358 |
+
"completions/clipped_ratio": 0.3888888955116272,
|
| 359 |
+
"completions/max_length": 3000.0,
|
| 360 |
+
"completions/max_terminated_length": 2856.0,
|
| 361 |
+
"completions/mean_length": 2308.111083984375,
|
| 362 |
+
"completions/mean_terminated_length": 1867.8182373046875,
|
| 363 |
+
"completions/min_length": 853.0,
|
| 364 |
+
"completions/min_terminated_length": 853.0,
|
| 365 |
+
"entropy": 0.1780667081475258,
|
| 366 |
+
"epoch": 0.004700854700854701,
|
| 367 |
+
"frac_reward_zero_std": 0.0,
|
| 368 |
+
"grad_norm": 0.06938029080629349,
|
| 369 |
+
"learning_rate": 3.846153846153846e-05,
|
| 370 |
+
"loss": 0.0506,
|
| 371 |
+
"num_tokens": 948171.0,
|
| 372 |
+
"reward": -1.0471482276916504,
|
| 373 |
+
"reward_std": 0.824184238910675,
|
| 374 |
+
"rewards/hint_following/mean": -0.2777777910232544,
|
| 375 |
+
"rewards/hint_following/std": 0.6594851613044739,
|
| 376 |
+
"rewards/length_penalty/mean": -0.7693703770637512,
|
| 377 |
+
"rewards/length_penalty/std": 0.24463628232479095,
|
| 378 |
+
"sampling/importance_sampling_ratio/max": 2.5170931816101074,
|
| 379 |
+
"sampling/importance_sampling_ratio/mean": 0.9934613108634949,
|
| 380 |
+
"sampling/importance_sampling_ratio/min": 0.29526859521865845,
|
| 381 |
+
"sampling/sampling_logp_difference/max": 1.21986985206604,
|
| 382 |
+
"sampling/sampling_logp_difference/mean": 0.021038096398115158,
|
| 383 |
+
"step": 11,
|
| 384 |
+
"step_time": 61.20216279185843
|
| 385 |
+
},
|
| 386 |
+
{
|
| 387 |
+
"clip_ratio/high_max": 0.009717889750997225,
|
| 388 |
+
"clip_ratio/high_mean": 0.009717889750997225,
|
| 389 |
+
"clip_ratio/low_mean": 0.001428690991209199,
|
| 390 |
+
"clip_ratio/low_min": 0.001428690991209199,
|
| 391 |
+
"clip_ratio/region_mean": 0.011146580955634514,
|
| 392 |
+
"completions/clipped_ratio": 0.2777777910232544,
|
| 393 |
+
"completions/max_length": 3000.0,
|
| 394 |
+
"completions/max_terminated_length": 2997.0,
|
| 395 |
+
"completions/mean_length": 2494.944580078125,
|
| 396 |
+
"completions/mean_terminated_length": 2300.6923828125,
|
| 397 |
+
"completions/min_length": 1195.0,
|
| 398 |
+
"completions/min_terminated_length": 1195.0,
|
| 399 |
+
"entropy": 0.21741948276758194,
|
| 400 |
+
"epoch": 0.005128205128205128,
|
| 401 |
+
"frac_reward_zero_std": 0.0,
|
| 402 |
+
"grad_norm": 0.08027122914791107,
|
| 403 |
+
"learning_rate": 4.230769230769231e-05,
|
| 404 |
+
"loss": 0.0271,
|
| 405 |
+
"num_tokens": 1045165.0,
|
| 406 |
+
"reward": -0.6094259023666382,
|
| 407 |
+
"reward_std": 0.9179477691650391,
|
| 408 |
+
"rewards/hint_following/mean": 0.2222222238779068,
|
| 409 |
+
"rewards/hint_following/std": 0.8655670881271362,
|
| 410 |
+
"rewards/length_penalty/mean": -0.8316481113433838,
|
| 411 |
+
"rewards/length_penalty/std": 0.1910414844751358,
|
| 412 |
+
"sampling/importance_sampling_ratio/max": 2.7227704524993896,
|
| 413 |
+
"sampling/importance_sampling_ratio/mean": 0.9923471808433533,
|
| 414 |
+
"sampling/importance_sampling_ratio/min": 0.309160441160202,
|
| 415 |
+
"sampling/sampling_logp_difference/max": 1.1738948822021484,
|
| 416 |
+
"sampling/sampling_logp_difference/mean": 0.02328832633793354,
|
| 417 |
+
"step": 12,
|
| 418 |
+
"step_time": 63.202891704044305
|
| 419 |
+
},
|
| 420 |
+
{
|
| 421 |
+
"clip_ratio/high_max": 0.0020594243348265686,
|
| 422 |
+
"clip_ratio/high_mean": 0.0020594243348265686,
|
| 423 |
+
"clip_ratio/low_mean": 0.0059360921538124485,
|
| 424 |
+
"clip_ratio/low_min": 0.0059360921538124485,
|
| 425 |
+
"clip_ratio/region_mean": 0.007995516527444124,
|
| 426 |
+
"completions/clipped_ratio": 0.2222222238779068,
|
| 427 |
+
"completions/max_length": 3000.0,
|
| 428 |
+
"completions/max_terminated_length": 2981.0,
|
| 429 |
+
"completions/mean_length": 2085.638916015625,
|
| 430 |
+
"completions/mean_terminated_length": 1824.3929443359375,
|
| 431 |
+
"completions/min_length": 956.0,
|
| 432 |
+
"completions/min_terminated_length": 956.0,
|
| 433 |
+
"entropy": 0.18983352681001028,
|
| 434 |
+
"epoch": 0.005555555555555556,
|
| 435 |
+
"frac_reward_zero_std": 0.0,
|
| 436 |
+
"grad_norm": 0.2806412875652313,
|
| 437 |
+
"learning_rate": 4.615384615384616e-05,
|
| 438 |
+
"loss": 0.0294,
|
| 439 |
+
"num_tokens": 1128414.0,
|
| 440 |
+
"reward": -0.6674352288246155,
|
| 441 |
+
"reward_std": 0.8722909092903137,
|
| 442 |
+
"rewards/hint_following/mean": 0.02777777798473835,
|
| 443 |
+
"rewards/hint_following/std": 0.6963624954223633,
|
| 444 |
+
"rewards/length_penalty/mean": -0.6952130198478699,
|
| 445 |
+
"rewards/length_penalty/std": 0.23719921708106995,
|
| 446 |
+
"sampling/importance_sampling_ratio/max": 2.7140581607818604,
|
| 447 |
+
"sampling/importance_sampling_ratio/mean": 0.9935481548309326,
|
| 448 |
+
"sampling/importance_sampling_ratio/min": 0.19567115604877472,
|
| 449 |
+
"sampling/sampling_logp_difference/max": 1.6313197612762451,
|
| 450 |
+
"sampling/sampling_logp_difference/mean": 0.02119005285203457,
|
| 451 |
+
"step": 13,
|
| 452 |
+
"step_time": 61.55426321423147
|
| 453 |
+
},
|
| 454 |
+
{
|
| 455 |
+
"clip_ratio/high_max": 0.0014092368267786999,
|
| 456 |
+
"clip_ratio/high_mean": 0.0014092368267786999,
|
| 457 |
+
"clip_ratio/low_mean": 0.007215868448838592,
|
| 458 |
+
"clip_ratio/low_min": 0.007215868448838592,
|
| 459 |
+
"clip_ratio/region_mean": 0.008625105411435166,
|
| 460 |
+
"completions/clipped_ratio": 0.1944444477558136,
|
| 461 |
+
"completions/max_length": 3000.0,
|
| 462 |
+
"completions/max_terminated_length": 2941.0,
|
| 463 |
+
"completions/mean_length": 1680.3055419921875,
|
| 464 |
+
"completions/mean_terminated_length": 1361.7586669921875,
|
| 465 |
+
"completions/min_length": 398.0,
|
| 466 |
+
"completions/min_terminated_length": 398.0,
|
| 467 |
+
"entropy": 0.20419775694608688,
|
| 468 |
+
"epoch": 0.005982905982905983,
|
| 469 |
+
"frac_reward_zero_std": 0.0,
|
| 470 |
+
"grad_norm": 0.08586689084768295,
|
| 471 |
+
"learning_rate": 5e-05,
|
| 472 |
+
"loss": 0.0681,
|
| 473 |
+
"num_tokens": 1193759.0,
|
| 474 |
+
"reward": -0.5878795981407166,
|
| 475 |
+
"reward_std": 0.8454972505569458,
|
| 476 |
+
"rewards/hint_following/mean": -0.02777777798473835,
|
| 477 |
+
"rewards/hint_following/std": 0.6087979674339294,
|
| 478 |
+
"rewards/length_penalty/mean": -0.5601018071174622,
|
| 479 |
+
"rewards/length_penalty/std": 0.31150683760643005,
|
| 480 |
+
"sampling/importance_sampling_ratio/max": 2.1082680225372314,
|
| 481 |
+
"sampling/importance_sampling_ratio/mean": 0.992834746837616,
|
| 482 |
+
"sampling/importance_sampling_ratio/min": 0.3020838499069214,
|
| 483 |
+
"sampling/sampling_logp_difference/max": 1.1970505714416504,
|
| 484 |
+
"sampling/sampling_logp_difference/mean": 0.02261131815612316,
|
| 485 |
+
"step": 14,
|
| 486 |
+
"step_time": 53.72449496493209
|
| 487 |
+
},
|
| 488 |
+
{
|
| 489 |
+
"clip_ratio/high_max": 0.007441268069669604,
|
| 490 |
+
"clip_ratio/high_mean": 0.007441268069669604,
|
| 491 |
+
"clip_ratio/low_mean": 0.002903422418360909,
|
| 492 |
+
"clip_ratio/low_min": 0.002903422418360909,
|
| 493 |
+
"clip_ratio/region_mean": 0.01034469079847137,
|
| 494 |
+
"completions/clipped_ratio": 0.25,
|
| 495 |
+
"completions/max_length": 3000.0,
|
| 496 |
+
"completions/max_terminated_length": 2906.0,
|
| 497 |
+
"completions/mean_length": 2191.111083984375,
|
| 498 |
+
"completions/mean_terminated_length": 1921.4814453125,
|
| 499 |
+
"completions/min_length": 397.0,
|
| 500 |
+
"completions/min_terminated_length": 397.0,
|
| 501 |
+
"entropy": 0.22065167874097824,
|
| 502 |
+
"epoch": 0.00641025641025641,
|
| 503 |
+
"frac_reward_zero_std": 0.0,
|
| 504 |
+
"grad_norm": 0.07726756483316422,
|
| 505 |
+
"learning_rate": 5e-05,
|
| 506 |
+
"loss": 0.0177,
|
| 507 |
+
"num_tokens": 1279125.0,
|
| 508 |
+
"reward": -0.7859259247779846,
|
| 509 |
+
"reward_std": 0.7896111607551575,
|
| 510 |
+
"rewards/hint_following/mean": -0.0555555559694767,
|
| 511 |
+
"rewards/hint_following/std": 0.6737716794013977,
|
| 512 |
+
"rewards/length_penalty/mean": -0.7303703427314758,
|
| 513 |
+
"rewards/length_penalty/std": 0.2772618532180786,
|
| 514 |
+
"sampling/importance_sampling_ratio/max": 2.1340627670288086,
|
| 515 |
+
"sampling/importance_sampling_ratio/mean": 0.9917824268341064,
|
| 516 |
+
"sampling/importance_sampling_ratio/min": 0.07570598274469376,
|
| 517 |
+
"sampling/sampling_logp_difference/max": 2.5808980464935303,
|
| 518 |
+
"sampling/sampling_logp_difference/mean": 0.023916445672512054,
|
| 519 |
+
"step": 15,
|
| 520 |
+
"step_time": 59.183635055902414
|
| 521 |
+
},
|
| 522 |
+
{
|
| 523 |
+
"clip_ratio/high_max": 0.007959824210653702,
|
| 524 |
+
"clip_ratio/high_mean": 0.007959824210653702,
|
| 525 |
+
"clip_ratio/low_mean": 0.0026605394668877125,
|
| 526 |
+
"clip_ratio/low_min": 0.0026605394668877125,
|
| 527 |
+
"clip_ratio/region_mean": 0.010620363832761845,
|
| 528 |
+
"completions/clipped_ratio": 0.1388888955116272,
|
| 529 |
+
"completions/max_length": 3000.0,
|
| 530 |
+
"completions/max_terminated_length": 2836.0,
|
| 531 |
+
"completions/mean_length": 1801.9722900390625,
|
| 532 |
+
"completions/mean_terminated_length": 1612.0,
|
| 533 |
+
"completions/min_length": 660.0,
|
| 534 |
+
"completions/min_terminated_length": 660.0,
|
| 535 |
+
"entropy": 0.2382892519235611,
|
| 536 |
+
"epoch": 0.006837606837606838,
|
| 537 |
+
"frac_reward_zero_std": 0.0,
|
| 538 |
+
"grad_norm": 0.07441020756959915,
|
| 539 |
+
"learning_rate": 5e-05,
|
| 540 |
+
"loss": 0.1035,
|
| 541 |
+
"num_tokens": 1351580.0,
|
| 542 |
+
"reward": -0.2951018214225769,
|
| 543 |
+
"reward_std": 0.9211878180503845,
|
| 544 |
+
"rewards/hint_following/mean": 0.3055555522441864,
|
| 545 |
+
"rewards/hint_following/std": 0.7099072337150574,
|
| 546 |
+
"rewards/length_penalty/mean": -0.6006573438644409,
|
| 547 |
+
"rewards/length_penalty/std": 0.2538762390613556,
|
| 548 |
+
"sampling/importance_sampling_ratio/max": 2.141491413116455,
|
| 549 |
+
"sampling/importance_sampling_ratio/mean": 0.9912582039833069,
|
| 550 |
+
"sampling/importance_sampling_ratio/min": 0.3961084187030792,
|
| 551 |
+
"sampling/sampling_logp_difference/max": 0.9260673522949219,
|
| 552 |
+
"sampling/sampling_logp_difference/mean": 0.024969136342406273,
|
| 553 |
+
"step": 16,
|
| 554 |
+
"step_time": 58.414970112848096
|
| 555 |
+
},
|
| 556 |
+
{
|
| 557 |
+
"clip_ratio/high_max": 0.00782025900358955,
|
| 558 |
+
"clip_ratio/high_mean": 0.00782025900358955,
|
| 559 |
+
"clip_ratio/low_mean": 0.0016357484661663573,
|
| 560 |
+
"clip_ratio/low_min": 0.0016357484661663573,
|
| 561 |
+
"clip_ratio/region_mean": 0.00945600758617123,
|
| 562 |
+
"completions/clipped_ratio": 0.0833333358168602,
|
| 563 |
+
"completions/max_length": 3000.0,
|
| 564 |
+
"completions/max_terminated_length": 2959.0,
|
| 565 |
+
"completions/mean_length": 1858.02783203125,
|
| 566 |
+
"completions/mean_terminated_length": 1754.212158203125,
|
| 567 |
+
"completions/min_length": 523.0,
|
| 568 |
+
"completions/min_terminated_length": 523.0,
|
| 569 |
+
"entropy": 0.2335476577281952,
|
| 570 |
+
"epoch": 0.007264957264957265,
|
| 571 |
+
"frac_reward_zero_std": 0.0,
|
| 572 |
+
"grad_norm": 0.06890398263931274,
|
| 573 |
+
"learning_rate": 5e-05,
|
| 574 |
+
"loss": 0.0923,
|
| 575 |
+
"num_tokens": 1425669.0,
|
| 576 |
+
"reward": 0.10287962108850479,
|
| 577 |
+
"reward_std": 0.7695233225822449,
|
| 578 |
+
"rewards/hint_following/mean": 0.7222222089767456,
|
| 579 |
+
"rewards/hint_following/std": 0.6146363019943237,
|
| 580 |
+
"rewards/length_penalty/mean": -0.619342565536499,
|
| 581 |
+
"rewards/length_penalty/std": 0.2540966868400574,
|
| 582 |
+
"sampling/importance_sampling_ratio/max": 2.8489930629730225,
|
| 583 |
+
"sampling/importance_sampling_ratio/mean": 0.9912996888160706,
|
| 584 |
+
"sampling/importance_sampling_ratio/min": 0.3177354037761688,
|
| 585 |
+
"sampling/sampling_logp_difference/max": 1.1465363502502441,
|
| 586 |
+
"sampling/sampling_logp_difference/mean": 0.0239370446652174,
|
| 587 |
+
"step": 17,
|
| 588 |
+
"step_time": 56.41279660095461
|
| 589 |
+
},
|
| 590 |
+
{
|
| 591 |
+
"clip_ratio/high_max": 0.008962325053289533,
|
| 592 |
+
"clip_ratio/high_mean": 0.008962325053289533,
|
| 593 |
+
"clip_ratio/low_mean": 0.001638414493451516,
|
| 594 |
+
"clip_ratio/low_min": 0.001638414493451516,
|
| 595 |
+
"clip_ratio/region_mean": 0.010600739469130835,
|
| 596 |
+
"completions/clipped_ratio": 0.2222222238779068,
|
| 597 |
+
"completions/max_length": 3000.0,
|
| 598 |
+
"completions/max_terminated_length": 2681.0,
|
| 599 |
+
"completions/mean_length": 1895.4722900390625,
|
| 600 |
+
"completions/mean_terminated_length": 1579.8929443359375,
|
| 601 |
+
"completions/min_length": 409.0,
|
| 602 |
+
"completions/min_terminated_length": 409.0,
|
| 603 |
+
"entropy": 0.2237540160616239,
|
| 604 |
+
"epoch": 0.007692307692307693,
|
| 605 |
+
"frac_reward_zero_std": 0.0,
|
| 606 |
+
"grad_norm": 0.07782972604036331,
|
| 607 |
+
"learning_rate": 5e-05,
|
| 608 |
+
"loss": 0.0547,
|
| 609 |
+
"num_tokens": 1501340.0,
|
| 610 |
+
"reward": -0.3818241059780121,
|
| 611 |
+
"reward_std": 0.9488492608070374,
|
| 612 |
+
"rewards/hint_following/mean": 0.25,
|
| 613 |
+
"rewards/hint_following/std": 0.8062257766723633,
|
| 614 |
+
"rewards/length_penalty/mean": -0.6318240761756897,
|
| 615 |
+
"rewards/length_penalty/std": 0.2734360098838806,
|
| 616 |
+
"sampling/importance_sampling_ratio/max": 2.2928225994110107,
|
| 617 |
+
"sampling/importance_sampling_ratio/mean": 0.9916783571243286,
|
| 618 |
+
"sampling/importance_sampling_ratio/min": 0.3001212775707245,
|
| 619 |
+
"sampling/sampling_logp_difference/max": 1.203568696975708,
|
| 620 |
+
"sampling/sampling_logp_difference/mean": 0.023737527430057526,
|
| 621 |
+
"step": 18,
|
| 622 |
+
"step_time": 58.57279848307371
|
| 623 |
+
},
|
| 624 |
+
{
|
| 625 |
+
"clip_ratio/high_max": 0.0038812818626562753,
|
| 626 |
+
"clip_ratio/high_mean": 0.0038812818626562753,
|
| 627 |
+
"clip_ratio/low_mean": 0.005094039059864978,
|
| 628 |
+
"clip_ratio/low_min": 0.005094039059864978,
|
| 629 |
+
"clip_ratio/region_mean": 0.00897532096132636,
|
| 630 |
+
"completions/clipped_ratio": 0.1666666716337204,
|
| 631 |
+
"completions/max_length": 3000.0,
|
| 632 |
+
"completions/max_terminated_length": 2937.0,
|
| 633 |
+
"completions/mean_length": 2020.138916015625,
|
| 634 |
+
"completions/mean_terminated_length": 1824.166748046875,
|
| 635 |
+
"completions/min_length": 765.0,
|
| 636 |
+
"completions/min_terminated_length": 765.0,
|
| 637 |
+
"entropy": 0.2477496862411499,
|
| 638 |
+
"epoch": 0.00811965811965812,
|
| 639 |
+
"frac_reward_zero_std": 0.0,
|
| 640 |
+
"grad_norm": 0.07387188822031021,
|
| 641 |
+
"learning_rate": 5e-05,
|
| 642 |
+
"loss": 0.0524,
|
| 643 |
+
"num_tokens": 1581145.0,
|
| 644 |
+
"reward": -0.39560189843177795,
|
| 645 |
+
"reward_std": 0.9154050350189209,
|
| 646 |
+
"rewards/hint_following/mean": 0.2777777910232544,
|
| 647 |
+
"rewards/hint_following/std": 0.7410845756530762,
|
| 648 |
+
"rewards/length_penalty/mean": -0.67337965965271,
|
| 649 |
+
"rewards/length_penalty/std": 0.24809792637825012,
|
| 650 |
+
"sampling/importance_sampling_ratio/max": 2.1414597034454346,
|
| 651 |
+
"sampling/importance_sampling_ratio/mean": 0.9909990429878235,
|
| 652 |
+
"sampling/importance_sampling_ratio/min": 0.250805139541626,
|
| 653 |
+
"sampling/sampling_logp_difference/max": 1.383078932762146,
|
| 654 |
+
"sampling/sampling_logp_difference/mean": 0.025834236294031143,
|
| 655 |
+
"step": 19,
|
| 656 |
+
"step_time": 58.03654656501021
|
| 657 |
+
},
|
| 658 |
+
{
|
| 659 |
+
"clip_ratio/high_max": 0.0034701917708540955,
|
| 660 |
+
"clip_ratio/high_mean": 0.0034701917708540955,
|
| 661 |
+
"clip_ratio/low_mean": 0.004899940686300397,
|
| 662 |
+
"clip_ratio/low_min": 0.004899940686300397,
|
| 663 |
+
"clip_ratio/region_mean": 0.00837013234073917,
|
| 664 |
+
"completions/clipped_ratio": 0.2777777910232544,
|
| 665 |
+
"completions/max_length": 3000.0,
|
| 666 |
+
"completions/max_terminated_length": 2645.0,
|
| 667 |
+
"completions/mean_length": 1926.1666259765625,
|
| 668 |
+
"completions/mean_terminated_length": 1513.1539306640625,
|
| 669 |
+
"completions/min_length": 1111.0,
|
| 670 |
+
"completions/min_terminated_length": 1111.0,
|
| 671 |
+
"entropy": 0.2643888195355733,
|
| 672 |
+
"epoch": 0.008547008547008548,
|
| 673 |
+
"frac_reward_zero_std": 0.0,
|
| 674 |
+
"grad_norm": 0.07248850166797638,
|
| 675 |
+
"learning_rate": 5e-05,
|
| 676 |
+
"loss": 0.0748,
|
| 677 |
+
"num_tokens": 1658131.0,
|
| 678 |
+
"reward": -0.25316667556762695,
|
| 679 |
+
"reward_std": 1.1320863962173462,
|
| 680 |
+
"rewards/hint_following/mean": 0.3888888955116272,
|
| 681 |
+
"rewards/hint_following/std": 0.903256893157959,
|
| 682 |
+
"rewards/length_penalty/mean": -0.6420555114746094,
|
| 683 |
+
"rewards/length_penalty/std": 0.2418719381093979,
|
| 684 |
+
"sampling/importance_sampling_ratio/max": 2.639763593673706,
|
| 685 |
+
"sampling/importance_sampling_ratio/mean": 0.990202009677887,
|
| 686 |
+
"sampling/importance_sampling_ratio/min": 0.3388563394546509,
|
| 687 |
+
"sampling/sampling_logp_difference/max": 1.082179069519043,
|
| 688 |
+
"sampling/sampling_logp_difference/mean": 0.026784788817167282,
|
| 689 |
+
"step": 20,
|
| 690 |
+
"step_time": 59.42642685002647
|
| 691 |
+
},
|
| 692 |
+
{
|
| 693 |
+
"clip_ratio/high_max": 0.0018190126866102219,
|
| 694 |
+
"clip_ratio/high_mean": 0.0018190126866102219,
|
| 695 |
+
"clip_ratio/low_mean": 0.005009224289096892,
|
| 696 |
+
"clip_ratio/low_min": 0.005009224289096892,
|
| 697 |
+
"clip_ratio/region_mean": 0.006828237092122436,
|
| 698 |
+
"completions/clipped_ratio": 0.3611111044883728,
|
| 699 |
+
"completions/max_length": 3000.0,
|
| 700 |
+
"completions/max_terminated_length": 2893.0,
|
| 701 |
+
"completions/mean_length": 2087.0556640625,
|
| 702 |
+
"completions/mean_terminated_length": 1571.04345703125,
|
| 703 |
+
"completions/min_length": 621.0,
|
| 704 |
+
"completions/min_terminated_length": 621.0,
|
| 705 |
+
"entropy": 0.23874077697594961,
|
| 706 |
+
"epoch": 0.008974358974358974,
|
| 707 |
+
"frac_reward_zero_std": 0.0,
|
| 708 |
+
"grad_norm": 0.07083278149366379,
|
| 709 |
+
"learning_rate": 5e-05,
|
| 710 |
+
"loss": 0.0432,
|
| 711 |
+
"num_tokens": 1741971.0,
|
| 712 |
+
"reward": -0.7512407302856445,
|
| 713 |
+
"reward_std": 1.0566543340682983,
|
| 714 |
+
"rewards/hint_following/mean": -0.0555555559694767,
|
| 715 |
+
"rewards/hint_following/std": 0.826159656047821,
|
| 716 |
+
"rewards/length_penalty/mean": -0.6956851482391357,
|
| 717 |
+
"rewards/length_penalty/std": 0.29789718985557556,
|
| 718 |
+
"sampling/importance_sampling_ratio/max": 2.2389557361602783,
|
| 719 |
+
"sampling/importance_sampling_ratio/mean": 0.9909273386001587,
|
| 720 |
+
"sampling/importance_sampling_ratio/min": 0.1903061866760254,
|
| 721 |
+
"sampling/sampling_logp_difference/max": 1.659121036529541,
|
| 722 |
+
"sampling/sampling_logp_difference/mean": 0.024532614275813103,
|
| 723 |
+
"step": 21,
|
| 724 |
+
"step_time": 62.53779820702039
|
| 725 |
+
},
|
| 726 |
+
{
|
| 727 |
+
"clip_ratio/high_max": 0.002690806732668231,
|
| 728 |
+
"clip_ratio/high_mean": 0.002690806732668231,
|
| 729 |
+
"clip_ratio/low_mean": 0.0009356096270494163,
|
| 730 |
+
"clip_ratio/low_min": 0.0009356096270494163,
|
| 731 |
+
"clip_ratio/region_mean": 0.003626416379120201,
|
| 732 |
+
"completions/clipped_ratio": 0.1111111119389534,
|
| 733 |
+
"completions/max_length": 3000.0,
|
| 734 |
+
"completions/max_terminated_length": 2897.0,
|
| 735 |
+
"completions/mean_length": 1785.02783203125,
|
| 736 |
+
"completions/mean_terminated_length": 1633.15625,
|
| 737 |
+
"completions/min_length": 687.0,
|
| 738 |
+
"completions/min_terminated_length": 687.0,
|
| 739 |
+
"entropy": 0.2271458531419436,
|
| 740 |
+
"epoch": 0.009401709401709401,
|
| 741 |
+
"frac_reward_zero_std": 0.0,
|
| 742 |
+
"grad_norm": 0.06376982480287552,
|
| 743 |
+
"learning_rate": 5e-05,
|
| 744 |
+
"loss": 0.0558,
|
| 745 |
+
"num_tokens": 1812208.0,
|
| 746 |
+
"reward": -0.12278702855110168,
|
| 747 |
+
"reward_std": 0.8545697927474976,
|
| 748 |
+
"rewards/hint_following/mean": 0.4722222089767456,
|
| 749 |
+
"rewards/hint_following/std": 0.6963624358177185,
|
| 750 |
+
"rewards/length_penalty/mean": -0.5950092673301697,
|
| 751 |
+
"rewards/length_penalty/std": 0.2556186616420746,
|
| 752 |
+
"sampling/importance_sampling_ratio/max": 2.0840954780578613,
|
| 753 |
+
"sampling/importance_sampling_ratio/mean": 0.9917669892311096,
|
| 754 |
+
"sampling/importance_sampling_ratio/min": 0.4361201226711273,
|
| 755 |
+
"sampling/sampling_logp_difference/max": 0.8298375606536865,
|
| 756 |
+
"sampling/sampling_logp_difference/mean": 0.02324368618428707,
|
| 757 |
+
"step": 22,
|
| 758 |
+
"step_time": 54.28889209416229
|
| 759 |
+
},
|
| 760 |
+
{
|
| 761 |
+
"clip_ratio/high_max": 0.00034443634406973916,
|
| 762 |
+
"clip_ratio/high_mean": 0.00034443634406973916,
|
| 763 |
+
"clip_ratio/low_mean": 0.001613353689511617,
|
| 764 |
+
"clip_ratio/low_min": 0.001613353689511617,
|
| 765 |
+
"clip_ratio/region_mean": 0.001957789994776249,
|
| 766 |
+
"completions/clipped_ratio": 0.0,
|
| 767 |
+
"completions/max_length": 2755.0,
|
| 768 |
+
"completions/max_terminated_length": 2755.0,
|
| 769 |
+
"completions/mean_length": 1515.5555419921875,
|
| 770 |
+
"completions/mean_terminated_length": 1515.5555419921875,
|
| 771 |
+
"completions/min_length": 761.0,
|
| 772 |
+
"completions/min_terminated_length": 761.0,
|
| 773 |
+
"entropy": 0.26160697638988495,
|
| 774 |
+
"epoch": 0.009829059829059829,
|
| 775 |
+
"frac_reward_zero_std": 0.0,
|
| 776 |
+
"grad_norm": 0.05521637201309204,
|
| 777 |
+
"learning_rate": 5e-05,
|
| 778 |
+
"loss": 0.0467,
|
| 779 |
+
"num_tokens": 1873452.0,
|
| 780 |
+
"reward": 0.18925924599170685,
|
| 781 |
+
"reward_std": 0.6213830709457397,
|
| 782 |
+
"rewards/hint_following/mean": 0.6944444179534912,
|
| 783 |
+
"rewards/hint_following/std": 0.467176616191864,
|
| 784 |
+
"rewards/length_penalty/mean": -0.5051851868629456,
|
| 785 |
+
"rewards/length_penalty/std": 0.1804182529449463,
|
| 786 |
+
"sampling/importance_sampling_ratio/max": 2.6960017681121826,
|
| 787 |
+
"sampling/importance_sampling_ratio/mean": 0.9903501272201538,
|
| 788 |
+
"sampling/importance_sampling_ratio/min": 0.2622704803943634,
|
| 789 |
+
"sampling/sampling_logp_difference/max": 1.33837890625,
|
| 790 |
+
"sampling/sampling_logp_difference/mean": 0.026966720819473267,
|
| 791 |
+
"step": 23,
|
| 792 |
+
"step_time": 49.74234241596423
|
| 793 |
+
},
|
| 794 |
+
{
|
| 795 |
+
"clip_ratio/high_max": 0.009169099697222313,
|
| 796 |
+
"clip_ratio/high_mean": 0.009169099697222313,
|
| 797 |
+
"clip_ratio/low_mean": 0.0011019935482181609,
|
| 798 |
+
"clip_ratio/low_min": 0.0011019935482181609,
|
| 799 |
+
"clip_ratio/region_mean": 0.010271093342453241,
|
| 800 |
+
"completions/clipped_ratio": 0.02777777798473835,
|
| 801 |
+
"completions/max_length": 3000.0,
|
| 802 |
+
"completions/max_terminated_length": 2438.0,
|
| 803 |
+
"completions/mean_length": 1354.77783203125,
|
| 804 |
+
"completions/mean_terminated_length": 1307.771484375,
|
| 805 |
+
"completions/min_length": 358.0,
|
| 806 |
+
"completions/min_terminated_length": 358.0,
|
| 807 |
+
"entropy": 0.28231214980284375,
|
| 808 |
+
"epoch": 0.010256410256410256,
|
| 809 |
+
"frac_reward_zero_std": 0.0,
|
| 810 |
+
"grad_norm": 0.061877232044935226,
|
| 811 |
+
"learning_rate": 5e-05,
|
| 812 |
+
"loss": 0.0513,
|
| 813 |
+
"num_tokens": 1928578.0,
|
| 814 |
+
"reward": 0.0761851817369461,
|
| 815 |
+
"reward_std": 0.6364034414291382,
|
| 816 |
+
"rewards/hint_following/mean": 0.5277777910232544,
|
| 817 |
+
"rewards/hint_following/std": 0.559903621673584,
|
| 818 |
+
"rewards/length_penalty/mean": -0.4515925645828247,
|
| 819 |
+
"rewards/length_penalty/std": 0.2236867994070053,
|
| 820 |
+
"sampling/importance_sampling_ratio/max": 2.3720901012420654,
|
| 821 |
+
"sampling/importance_sampling_ratio/mean": 0.9896314144134521,
|
| 822 |
+
"sampling/importance_sampling_ratio/min": 0.3866640329360962,
|
| 823 |
+
"sampling/sampling_logp_difference/max": 0.9501991271972656,
|
| 824 |
+
"sampling/sampling_logp_difference/mean": 0.028320252895355225,
|
| 825 |
+
"step": 24,
|
| 826 |
+
"step_time": 51.51962701487355
|
| 827 |
+
},
|
| 828 |
+
{
|
| 829 |
+
"clip_ratio/high_max": 0.007340530709673961,
|
| 830 |
+
"clip_ratio/high_mean": 0.007340530709673961,
|
| 831 |
+
"clip_ratio/low_mean": 0.002632848802022636,
|
| 832 |
+
"clip_ratio/low_min": 0.002632848802022636,
|
| 833 |
+
"clip_ratio/region_mean": 0.00997337931767106,
|
| 834 |
+
"completions/clipped_ratio": 0.0555555559694767,
|
| 835 |
+
"completions/max_length": 3000.0,
|
| 836 |
+
"completions/max_terminated_length": 2833.0,
|
| 837 |
+
"completions/mean_length": 1369.52783203125,
|
| 838 |
+
"completions/mean_terminated_length": 1273.61767578125,
|
| 839 |
+
"completions/min_length": 489.0,
|
| 840 |
+
"completions/min_terminated_length": 489.0,
|
| 841 |
+
"entropy": 0.24688356121381125,
|
| 842 |
+
"epoch": 0.010683760683760684,
|
| 843 |
+
"frac_reward_zero_std": 0.0,
|
| 844 |
+
"grad_norm": 0.0653451606631279,
|
| 845 |
+
"learning_rate": 5e-05,
|
| 846 |
+
"loss": 0.0562,
|
| 847 |
+
"num_tokens": 1983563.0,
|
| 848 |
+
"reward": -0.15095369517803192,
|
| 849 |
+
"reward_std": 0.692315936088562,
|
| 850 |
+
"rewards/hint_following/mean": 0.3055555522441864,
|
| 851 |
+
"rewards/hint_following/std": 0.576662540435791,
|
| 852 |
+
"rewards/length_penalty/mean": -0.4565092623233795,
|
| 853 |
+
"rewards/length_penalty/std": 0.22569186985492706,
|
| 854 |
+
"sampling/importance_sampling_ratio/max": 2.21685791015625,
|
| 855 |
+
"sampling/importance_sampling_ratio/mean": 0.9907597899436951,
|
| 856 |
+
"sampling/importance_sampling_ratio/min": 0.26015329360961914,
|
| 857 |
+
"sampling/sampling_logp_difference/max": 1.3464841842651367,
|
| 858 |
+
"sampling/sampling_logp_difference/mean": 0.02600344829261303,
|
| 859 |
+
"step": 25,
|
| 860 |
+
"step_time": 53.30105395393912
|
| 861 |
+
},
|
| 862 |
+
{
|
| 863 |
+
"clip_ratio/high_max": 0.005985865951515734,
|
| 864 |
+
"clip_ratio/high_mean": 0.005985865951515734,
|
| 865 |
+
"clip_ratio/low_mean": 0.0026564535413247845,
|
| 866 |
+
"clip_ratio/low_min": 0.0026564535413247845,
|
| 867 |
+
"clip_ratio/region_mean": 0.008642319512243072,
|
| 868 |
+
"completions/clipped_ratio": 0.0833333358168602,
|
| 869 |
+
"completions/max_length": 3000.0,
|
| 870 |
+
"completions/max_terminated_length": 2935.0,
|
| 871 |
+
"completions/mean_length": 1874.6944580078125,
|
| 872 |
+
"completions/mean_terminated_length": 1772.39404296875,
|
| 873 |
+
"completions/min_length": 921.0,
|
| 874 |
+
"completions/min_terminated_length": 921.0,
|
| 875 |
+
"entropy": 0.24719314028819403,
|
| 876 |
+
"epoch": 0.011111111111111112,
|
| 877 |
+
"frac_reward_zero_std": 0.0,
|
| 878 |
+
"grad_norm": 0.07119674980640411,
|
| 879 |
+
"learning_rate": 5e-05,
|
| 880 |
+
"loss": 0.0874,
|
| 881 |
+
"num_tokens": 2058072.0,
|
| 882 |
+
"reward": -0.06934259831905365,
|
| 883 |
+
"reward_std": 0.8091042637825012,
|
| 884 |
+
"rewards/hint_following/mean": 0.5555555820465088,
|
| 885 |
+
"rewards/hint_following/std": 0.6522245407104492,
|
| 886 |
+
"rewards/length_penalty/mean": -0.6248981952667236,
|
| 887 |
+
"rewards/length_penalty/std": 0.21120469272136688,
|
| 888 |
+
"sampling/importance_sampling_ratio/max": 2.3882269859313965,
|
| 889 |
+
"sampling/importance_sampling_ratio/mean": 0.9909408688545227,
|
| 890 |
+
"sampling/importance_sampling_ratio/min": 0.3095887005329132,
|
| 891 |
+
"sampling/sampling_logp_difference/max": 1.1725106239318848,
|
| 892 |
+
"sampling/sampling_logp_difference/mean": 0.024691704660654068,
|
| 893 |
+
"step": 26,
|
| 894 |
+
"step_time": 55.06593968113884
|
| 895 |
+
},
|
| 896 |
+
{
|
| 897 |
+
"clip_ratio/high_max": 0.006906990543939173,
|
| 898 |
+
"clip_ratio/high_mean": 0.006906990543939173,
|
| 899 |
+
"clip_ratio/low_mean": 0.002326829261922588,
|
| 900 |
+
"clip_ratio/low_min": 0.002326829261922588,
|
| 901 |
+
"clip_ratio/region_mean": 0.009233820019289851,
|
| 902 |
+
"completions/clipped_ratio": 0.1388888955116272,
|
| 903 |
+
"completions/max_length": 3000.0,
|
| 904 |
+
"completions/max_terminated_length": 2980.0,
|
| 905 |
+
"completions/mean_length": 1767.5833740234375,
|
| 906 |
+
"completions/mean_terminated_length": 1568.806396484375,
|
| 907 |
+
"completions/min_length": 614.0,
|
| 908 |
+
"completions/min_terminated_length": 614.0,
|
| 909 |
+
"entropy": 0.25413808474938077,
|
| 910 |
+
"epoch": 0.011538461538461539,
|
| 911 |
+
"frac_reward_zero_std": 0.0,
|
| 912 |
+
"grad_norm": 0.06020393222570419,
|
| 913 |
+
"learning_rate": 5e-05,
|
| 914 |
+
"loss": 0.0678,
|
| 915 |
+
"num_tokens": 2126523.0,
|
| 916 |
+
"reward": -0.3114166855812073,
|
| 917 |
+
"reward_std": 0.8995095491409302,
|
| 918 |
+
"rewards/hint_following/mean": 0.2777777910232544,
|
| 919 |
+
"rewards/hint_following/std": 0.7014724016189575,
|
| 920 |
+
"rewards/length_penalty/mean": -0.5891944169998169,
|
| 921 |
+
"rewards/length_penalty/std": 0.24767503142356873,
|
| 922 |
+
"sampling/importance_sampling_ratio/max": 2.9181816577911377,
|
| 923 |
+
"sampling/importance_sampling_ratio/mean": 0.9907821416854858,
|
| 924 |
+
"sampling/importance_sampling_ratio/min": 0.28627336025238037,
|
| 925 |
+
"sampling/sampling_logp_difference/max": 1.2508081197738647,
|
| 926 |
+
"sampling/sampling_logp_difference/mean": 0.025369901210069656,
|
| 927 |
+
"step": 27,
|
| 928 |
+
"step_time": 54.32182147912681
|
| 929 |
+
},
|
| 930 |
+
{
|
| 931 |
+
"clip_ratio/high_max": 0.0,
|
| 932 |
+
"clip_ratio/high_mean": 0.0,
|
| 933 |
+
"clip_ratio/low_mean": 0.0,
|
| 934 |
+
"clip_ratio/low_min": 0.0,
|
| 935 |
+
"clip_ratio/region_mean": 0.0,
|
| 936 |
+
"completions/clipped_ratio": 0.3333333432674408,
|
| 937 |
+
"completions/max_length": 3000.0,
|
| 938 |
+
"completions/max_terminated_length": 1529.0,
|
| 939 |
+
"completions/mean_length": 1610.5833740234375,
|
| 940 |
+
"completions/mean_terminated_length": 915.875,
|
| 941 |
+
"completions/min_length": 478.0,
|
| 942 |
+
"completions/min_terminated_length": 478.0,
|
| 943 |
+
"entropy": 0.19960021724303564,
|
| 944 |
+
"epoch": 0.011965811965811967,
|
| 945 |
+
"frac_reward_zero_std": 1.0,
|
| 946 |
+
"grad_norm": 0.0,
|
| 947 |
+
"learning_rate": 5e-05,
|
| 948 |
+
"loss": 0.0,
|
| 949 |
+
"num_tokens": 2192742.0,
|
| 950 |
+
"reward": -0.8701944351196289,
|
| 951 |
+
"reward_std": 0.8150903582572937,
|
| 952 |
+
"rewards/hint_following/mean": -0.3333333432674408,
|
| 953 |
+
"rewards/hint_following/std": 0.47809144854545593,
|
| 954 |
+
"rewards/length_penalty/mean": -0.5368611216545105,
|
| 955 |
+
"rewards/length_penalty/std": 0.3438311517238617,
|
| 956 |
+
"sampling/importance_sampling_ratio/max": 2.0817480087280273,
|
| 957 |
+
"sampling/importance_sampling_ratio/mean": 0.9929863214492798,
|
| 958 |
+
"sampling/importance_sampling_ratio/min": 0.09024836868047714,
|
| 959 |
+
"sampling/sampling_logp_difference/max": 2.4051897525787354,
|
| 960 |
+
"sampling/sampling_logp_difference/mean": 0.02168331854045391,
|
| 961 |
+
"step": 28,
|
| 962 |
+
"step_time": 56.78273802890908
|
| 963 |
+
},
|
| 964 |
+
{
|
| 965 |
+
"clip_ratio/high_max": 0.001870962364288668,
|
| 966 |
+
"clip_ratio/high_mean": 0.001870962364288668,
|
| 967 |
+
"clip_ratio/low_mean": 0.004373128215471904,
|
| 968 |
+
"clip_ratio/low_min": 0.004373128215471904,
|
| 969 |
+
"clip_ratio/region_mean": 0.006244090540955464,
|
| 970 |
+
"completions/clipped_ratio": 0.1944444477558136,
|
| 971 |
+
"completions/max_length": 3000.0,
|
| 972 |
+
"completions/max_terminated_length": 2978.0,
|
| 973 |
+
"completions/mean_length": 1729.77783203125,
|
| 974 |
+
"completions/mean_terminated_length": 1423.17236328125,
|
| 975 |
+
"completions/min_length": 529.0,
|
| 976 |
+
"completions/min_terminated_length": 529.0,
|
| 977 |
+
"entropy": 0.28223206599553424,
|
| 978 |
+
"epoch": 0.012393162393162393,
|
| 979 |
+
"frac_reward_zero_std": 0.0,
|
| 980 |
+
"grad_norm": 0.07922516763210297,
|
| 981 |
+
"learning_rate": 5e-05,
|
| 982 |
+
"loss": 0.0378,
|
| 983 |
+
"num_tokens": 2262334.0,
|
| 984 |
+
"reward": -0.3265925943851471,
|
| 985 |
+
"reward_std": 0.9465053081512451,
|
| 986 |
+
"rewards/hint_following/mean": 0.25,
|
| 987 |
+
"rewards/hint_following/std": 0.7699722051620483,
|
| 988 |
+
"rewards/length_penalty/mean": -0.5765926241874695,
|
| 989 |
+
"rewards/length_penalty/std": 0.28062164783477783,
|
| 990 |
+
"sampling/importance_sampling_ratio/max": 3.0,
|
| 991 |
+
"sampling/importance_sampling_ratio/mean": 0.9894134402275085,
|
| 992 |
+
"sampling/importance_sampling_ratio/min": 0.29406988620758057,
|
| 993 |
+
"sampling/sampling_logp_difference/max": 1.760861873626709,
|
| 994 |
+
"sampling/sampling_logp_difference/mean": 0.026971129700541496,
|
| 995 |
+
"step": 29,
|
| 996 |
+
"step_time": 55.79818298702594
|
| 997 |
+
},
|
| 998 |
+
{
|
| 999 |
+
"clip_ratio/high_max": 0.001682481961324811,
|
| 1000 |
+
"clip_ratio/high_mean": 0.001682481961324811,
|
| 1001 |
+
"clip_ratio/low_mean": 0.00047758713481016457,
|
| 1002 |
+
"clip_ratio/low_min": 0.00047758713481016457,
|
| 1003 |
+
"clip_ratio/region_mean": 0.002160069086433699,
|
| 1004 |
+
"completions/clipped_ratio": 0.1666666716337204,
|
| 1005 |
+
"completions/max_length": 3000.0,
|
| 1006 |
+
"completions/max_terminated_length": 2747.0,
|
| 1007 |
+
"completions/mean_length": 1684.638916015625,
|
| 1008 |
+
"completions/mean_terminated_length": 1421.5667724609375,
|
| 1009 |
+
"completions/min_length": 805.0,
|
| 1010 |
+
"completions/min_terminated_length": 805.0,
|
| 1011 |
+
"entropy": 0.2508200804392497,
|
| 1012 |
+
"epoch": 0.01282051282051282,
|
| 1013 |
+
"frac_reward_zero_std": 0.0,
|
| 1014 |
+
"grad_norm": 0.06276588886976242,
|
| 1015 |
+
"learning_rate": 5e-05,
|
| 1016 |
+
"loss": 0.0312,
|
| 1017 |
+
"num_tokens": 2331153.0,
|
| 1018 |
+
"reward": 0.02178703434765339,
|
| 1019 |
+
"reward_std": 0.9737120270729065,
|
| 1020 |
+
"rewards/hint_following/mean": 0.5833333134651184,
|
| 1021 |
+
"rewards/hint_following/std": 0.7699722051620483,
|
| 1022 |
+
"rewards/length_penalty/mean": -0.5615463256835938,
|
| 1023 |
+
"rewards/length_penalty/std": 0.233141228556633,
|
| 1024 |
+
"sampling/importance_sampling_ratio/max": 2.9634652137756348,
|
| 1025 |
+
"sampling/importance_sampling_ratio/mean": 0.9905918836593628,
|
| 1026 |
+
"sampling/importance_sampling_ratio/min": 0.2952629625797272,
|
| 1027 |
+
"sampling/sampling_logp_difference/max": 1.2198889255523682,
|
| 1028 |
+
"sampling/sampling_logp_difference/mean": 0.024356598034501076,
|
| 1029 |
+
"step": 30,
|
| 1030 |
+
"step_time": 56.55290222284384
|
| 1031 |
+
},
|
| 1032 |
+
{
|
| 1033 |
+
"clip_ratio/high_max": 0.008109931523601214,
|
| 1034 |
+
"clip_ratio/high_mean": 0.008109931523601214,
|
| 1035 |
+
"clip_ratio/low_mean": 0.0004286583377203594,
|
| 1036 |
+
"clip_ratio/low_min": 0.0004286583377203594,
|
| 1037 |
+
"clip_ratio/region_mean": 0.008538589735204974,
|
| 1038 |
+
"completions/clipped_ratio": 0.0833333358168602,
|
| 1039 |
+
"completions/max_length": 3000.0,
|
| 1040 |
+
"completions/max_terminated_length": 2567.0,
|
| 1041 |
+
"completions/mean_length": 1786.2222900390625,
|
| 1042 |
+
"completions/mean_terminated_length": 1675.8787841796875,
|
| 1043 |
+
"completions/min_length": 468.0,
|
| 1044 |
+
"completions/min_terminated_length": 468.0,
|
| 1045 |
+
"entropy": 0.2908742278814316,
|
| 1046 |
+
"epoch": 0.013247863247863248,
|
| 1047 |
+
"frac_reward_zero_std": 0.0,
|
| 1048 |
+
"grad_norm": 0.07696390151977539,
|
| 1049 |
+
"learning_rate": 5e-05,
|
| 1050 |
+
"loss": 0.0561,
|
| 1051 |
+
"num_tokens": 2403953.0,
|
| 1052 |
+
"reward": -0.0954074040055275,
|
| 1053 |
+
"reward_std": 0.6877580285072327,
|
| 1054 |
+
"rewards/hint_following/mean": 0.5,
|
| 1055 |
+
"rewards/hint_following/std": 0.6546536684036255,
|
| 1056 |
+
"rewards/length_penalty/mean": -0.5954073667526245,
|
| 1057 |
+
"rewards/length_penalty/std": 0.22547654807567596,
|
| 1058 |
+
"sampling/importance_sampling_ratio/max": 2.491806745529175,
|
| 1059 |
+
"sampling/importance_sampling_ratio/mean": 0.9886121153831482,
|
| 1060 |
+
"sampling/importance_sampling_ratio/min": 0.16667605936527252,
|
| 1061 |
+
"sampling/sampling_logp_difference/max": 1.7917031049728394,
|
| 1062 |
+
"sampling/sampling_logp_difference/mean": 0.02771041914820671,
|
| 1063 |
+
"step": 31,
|
| 1064 |
+
"step_time": 58.1784061481012
|
| 1065 |
+
},
|
| 1066 |
+
{
|
| 1067 |
+
"clip_ratio/high_max": 0.0027225150261074305,
|
| 1068 |
+
"clip_ratio/high_mean": 0.0027225150261074305,
|
| 1069 |
+
"clip_ratio/low_mean": 0.003243642975576222,
|
| 1070 |
+
"clip_ratio/low_min": 0.003243642975576222,
|
| 1071 |
+
"clip_ratio/region_mean": 0.00596615804048876,
|
| 1072 |
+
"completions/clipped_ratio": 0.1666666716337204,
|
| 1073 |
+
"completions/max_length": 3000.0,
|
| 1074 |
+
"completions/max_terminated_length": 2917.0,
|
| 1075 |
+
"completions/mean_length": 2085.916748046875,
|
| 1076 |
+
"completions/mean_terminated_length": 1903.10009765625,
|
| 1077 |
+
"completions/min_length": 1014.0,
|
| 1078 |
+
"completions/min_terminated_length": 1014.0,
|
| 1079 |
+
"entropy": 0.278283953666687,
|
| 1080 |
+
"epoch": 0.013675213675213675,
|
| 1081 |
+
"frac_reward_zero_std": 0.0,
|
| 1082 |
+
"grad_norm": 0.06229299306869507,
|
| 1083 |
+
"learning_rate": 5e-05,
|
| 1084 |
+
"loss": 0.0363,
|
| 1085 |
+
"num_tokens": 2486342.0,
|
| 1086 |
+
"reward": -0.36197224259376526,
|
| 1087 |
+
"reward_std": 0.8716595768928528,
|
| 1088 |
+
"rewards/hint_following/mean": 0.3333333432674408,
|
| 1089 |
+
"rewards/hint_following/std": 0.7559289932250977,
|
| 1090 |
+
"rewards/length_penalty/mean": -0.695305585861206,
|
| 1091 |
+
"rewards/length_penalty/std": 0.1993320733308792,
|
| 1092 |
+
"sampling/importance_sampling_ratio/max": 2.49179744720459,
|
| 1093 |
+
"sampling/importance_sampling_ratio/mean": 0.9892889261245728,
|
| 1094 |
+
"sampling/importance_sampling_ratio/min": 0.19078373908996582,
|
| 1095 |
+
"sampling/sampling_logp_difference/max": 1.6566147804260254,
|
| 1096 |
+
"sampling/sampling_logp_difference/mean": 0.02677111327648163,
|
| 1097 |
+
"step": 32,
|
| 1098 |
+
"step_time": 59.783586613833904
|
| 1099 |
+
},
|
| 1100 |
+
{
|
| 1101 |
+
"clip_ratio/high_max": 0.0016072407306637615,
|
| 1102 |
+
"clip_ratio/high_mean": 0.0016072407306637615,
|
| 1103 |
+
"clip_ratio/low_mean": 0.0016927721832568448,
|
| 1104 |
+
"clip_ratio/low_min": 0.0016927721832568448,
|
| 1105 |
+
"clip_ratio/region_mean": 0.003300012855712945,
|
| 1106 |
+
"completions/clipped_ratio": 0.0,
|
| 1107 |
+
"completions/max_length": 2629.0,
|
| 1108 |
+
"completions/max_terminated_length": 2629.0,
|
| 1109 |
+
"completions/mean_length": 1464.5833740234375,
|
| 1110 |
+
"completions/mean_terminated_length": 1464.5833740234375,
|
| 1111 |
+
"completions/min_length": 577.0,
|
| 1112 |
+
"completions/min_terminated_length": 577.0,
|
| 1113 |
+
"entropy": 0.25622066855430603,
|
| 1114 |
+
"epoch": 0.014102564102564103,
|
| 1115 |
+
"frac_reward_zero_std": 0.0,
|
| 1116 |
+
"grad_norm": 0.05397763103246689,
|
| 1117 |
+
"learning_rate": 5e-05,
|
| 1118 |
+
"loss": 0.0059,
|
| 1119 |
+
"num_tokens": 2544023.0,
|
| 1120 |
+
"reward": -0.29375001788139343,
|
| 1121 |
+
"reward_std": 0.45689767599105835,
|
| 1122 |
+
"rewards/hint_following/mean": 0.1944444477558136,
|
| 1123 |
+
"rewards/hint_following/std": 0.4013865292072296,
|
| 1124 |
+
"rewards/length_penalty/mean": -0.48819446563720703,
|
| 1125 |
+
"rewards/length_penalty/std": 0.14601026475429535,
|
| 1126 |
+
"sampling/importance_sampling_ratio/max": 2.081763982772827,
|
| 1127 |
+
"sampling/importance_sampling_ratio/mean": 0.9904037117958069,
|
| 1128 |
+
"sampling/importance_sampling_ratio/min": 0.339209645986557,
|
| 1129 |
+
"sampling/sampling_logp_difference/max": 1.08113694190979,
|
| 1130 |
+
"sampling/sampling_logp_difference/mean": 0.02619028650224209,
|
| 1131 |
+
"step": 33,
|
| 1132 |
+
"step_time": 49.13755757326726
|
| 1133 |
+
},
|
| 1134 |
+
{
|
| 1135 |
+
"clip_ratio/high_max": 0.001959889098846664,
|
| 1136 |
+
"clip_ratio/high_mean": 0.001959889098846664,
|
| 1137 |
+
"clip_ratio/low_mean": 0.0017016992593804996,
|
| 1138 |
+
"clip_ratio/low_min": 0.0017016992593804996,
|
| 1139 |
+
"clip_ratio/region_mean": 0.0036615883776297173,
|
| 1140 |
+
"completions/clipped_ratio": 0.1666666716337204,
|
| 1141 |
+
"completions/max_length": 3000.0,
|
| 1142 |
+
"completions/max_terminated_length": 2814.0,
|
| 1143 |
+
"completions/mean_length": 1581.1666259765625,
|
| 1144 |
+
"completions/mean_terminated_length": 1297.4000244140625,
|
| 1145 |
+
"completions/min_length": 447.0,
|
| 1146 |
+
"completions/min_terminated_length": 447.0,
|
| 1147 |
+
"entropy": 0.25040922313928604,
|
| 1148 |
+
"epoch": 0.01452991452991453,
|
| 1149 |
+
"frac_reward_zero_std": 0.0,
|
| 1150 |
+
"grad_norm": 0.06385543942451477,
|
| 1151 |
+
"learning_rate": 5e-05,
|
| 1152 |
+
"loss": 0.046,
|
| 1153 |
+
"num_tokens": 2606177.0,
|
| 1154 |
+
"reward": -0.0826110988855362,
|
| 1155 |
+
"reward_std": 0.9639437198638916,
|
| 1156 |
+
"rewards/hint_following/mean": 0.4444444477558136,
|
| 1157 |
+
"rewards/hint_following/std": 0.7725447416305542,
|
| 1158 |
+
"rewards/length_penalty/mean": -0.5270555019378662,
|
| 1159 |
+
"rewards/length_penalty/std": 0.2994069457054138,
|
| 1160 |
+
"sampling/importance_sampling_ratio/max": 3.0,
|
| 1161 |
+
"sampling/importance_sampling_ratio/mean": 0.9912077784538269,
|
| 1162 |
+
"sampling/importance_sampling_ratio/min": 0.31699931621551514,
|
| 1163 |
+
"sampling/sampling_logp_difference/max": 1.2634482383728027,
|
| 1164 |
+
"sampling/sampling_logp_difference/mean": 0.02445373497903347,
|
| 1165 |
+
"step": 34,
|
| 1166 |
+
"step_time": 54.58746225386858
|
| 1167 |
+
},
|
| 1168 |
+
{
|
| 1169 |
+
"clip_ratio/high_max": 0.0011685320253794391,
|
| 1170 |
+
"clip_ratio/high_mean": 0.0011685320253794391,
|
| 1171 |
+
"clip_ratio/low_mean": 0.0014686054394890864,
|
| 1172 |
+
"clip_ratio/low_min": 0.0014686054394890864,
|
| 1173 |
+
"clip_ratio/region_mean": 0.0026371375230761864,
|
| 1174 |
+
"completions/clipped_ratio": 0.0,
|
| 1175 |
+
"completions/max_length": 2743.0,
|
| 1176 |
+
"completions/max_terminated_length": 2743.0,
|
| 1177 |
+
"completions/mean_length": 1370.4722900390625,
|
| 1178 |
+
"completions/mean_terminated_length": 1370.4722900390625,
|
| 1179 |
+
"completions/min_length": 650.0,
|
| 1180 |
+
"completions/min_terminated_length": 650.0,
|
| 1181 |
+
"entropy": 0.26418235152959824,
|
| 1182 |
+
"epoch": 0.014957264957264958,
|
| 1183 |
+
"frac_reward_zero_std": 0.0,
|
| 1184 |
+
"grad_norm": 0.057452693581581116,
|
| 1185 |
+
"learning_rate": 5e-05,
|
| 1186 |
+
"loss": 0.01,
|
| 1187 |
+
"num_tokens": 2661580.0,
|
| 1188 |
+
"reward": 0.15428705513477325,
|
| 1189 |
+
"reward_std": 0.5879056453704834,
|
| 1190 |
+
"rewards/hint_following/mean": 0.6111111044883728,
|
| 1191 |
+
"rewards/hint_following/std": 0.49441322684288025,
|
| 1192 |
+
"rewards/length_penalty/mean": -0.45682409405708313,
|
| 1193 |
+
"rewards/length_penalty/std": 0.1867014318704605,
|
| 1194 |
+
"sampling/importance_sampling_ratio/max": 3.0,
|
| 1195 |
+
"sampling/importance_sampling_ratio/mean": 0.9900287985801697,
|
| 1196 |
+
"sampling/importance_sampling_ratio/min": 0.15399949252605438,
|
| 1197 |
+
"sampling/sampling_logp_difference/max": 1.8708059787750244,
|
| 1198 |
+
"sampling/sampling_logp_difference/mean": 0.027402520179748535,
|
| 1199 |
+
"step": 35,
|
| 1200 |
+
"step_time": 47.69401362503413
|
| 1201 |
+
},
|
| 1202 |
+
{
|
| 1203 |
+
"clip_ratio/high_max": 0.0057743463742857175,
|
| 1204 |
+
"clip_ratio/high_mean": 0.0057743463742857175,
|
| 1205 |
+
"clip_ratio/low_mean": 0.0029491251916624606,
|
| 1206 |
+
"clip_ratio/low_min": 0.0029491251916624606,
|
| 1207 |
+
"clip_ratio/region_mean": 0.00872347146893541,
|
| 1208 |
+
"completions/clipped_ratio": 0.1111111119389534,
|
| 1209 |
+
"completions/max_length": 3000.0,
|
| 1210 |
+
"completions/max_terminated_length": 2813.0,
|
| 1211 |
+
"completions/mean_length": 1503.6944580078125,
|
| 1212 |
+
"completions/mean_terminated_length": 1316.65625,
|
| 1213 |
+
"completions/min_length": 456.0,
|
| 1214 |
+
"completions/min_terminated_length": 456.0,
|
| 1215 |
+
"entropy": 0.2601601282755534,
|
| 1216 |
+
"epoch": 0.015384615384615385,
|
| 1217 |
+
"frac_reward_zero_std": 0.0,
|
| 1218 |
+
"grad_norm": 0.06052026152610779,
|
| 1219 |
+
"learning_rate": 5e-05,
|
| 1220 |
+
"loss": 0.0217,
|
| 1221 |
+
"num_tokens": 2721131.0,
|
| 1222 |
+
"reward": -0.44567596912384033,
|
| 1223 |
+
"reward_std": 0.6641168594360352,
|
| 1224 |
+
"rewards/hint_following/mean": 0.0555555559694767,
|
| 1225 |
+
"rewards/hint_following/std": 0.5315446853637695,
|
| 1226 |
+
"rewards/length_penalty/mean": -0.5012314915657043,
|
| 1227 |
+
"rewards/length_penalty/std": 0.2637265622615814,
|
| 1228 |
+
"sampling/importance_sampling_ratio/max": 2.678779125213623,
|
| 1229 |
+
"sampling/importance_sampling_ratio/mean": 0.98993980884552,
|
| 1230 |
+
"sampling/importance_sampling_ratio/min": 0.3602158725261688,
|
| 1231 |
+
"sampling/sampling_logp_difference/max": 1.0210518836975098,
|
| 1232 |
+
"sampling/sampling_logp_difference/mean": 0.02683359384536743,
|
| 1233 |
+
"step": 36,
|
| 1234 |
+
"step_time": 52.9094661710551
|
| 1235 |
+
},
|
| 1236 |
+
{
|
| 1237 |
+
"clip_ratio/high_max": 0.002038249202693502,
|
| 1238 |
+
"clip_ratio/high_mean": 0.002038249202693502,
|
| 1239 |
+
"clip_ratio/low_mean": 0.00521218675809602,
|
| 1240 |
+
"clip_ratio/low_min": 0.00521218675809602,
|
| 1241 |
+
"clip_ratio/region_mean": 0.007250435883179307,
|
| 1242 |
+
"completions/clipped_ratio": 0.0,
|
| 1243 |
+
"completions/max_length": 2391.0,
|
| 1244 |
+
"completions/max_terminated_length": 2391.0,
|
| 1245 |
+
"completions/mean_length": 1279.638916015625,
|
| 1246 |
+
"completions/mean_terminated_length": 1279.638916015625,
|
| 1247 |
+
"completions/min_length": 508.0,
|
| 1248 |
+
"completions/min_terminated_length": 508.0,
|
| 1249 |
+
"entropy": 0.26387400925159454,
|
| 1250 |
+
"epoch": 0.01581196581196581,
|
| 1251 |
+
"frac_reward_zero_std": 0.0,
|
| 1252 |
+
"grad_norm": 0.0660337284207344,
|
| 1253 |
+
"learning_rate": 5e-05,
|
| 1254 |
+
"loss": 0.0072,
|
| 1255 |
+
"num_tokens": 2774056.0,
|
| 1256 |
+
"reward": 0.12900924682617188,
|
| 1257 |
+
"reward_std": 0.5431578159332275,
|
| 1258 |
+
"rewards/hint_following/mean": 0.5555555820465088,
|
| 1259 |
+
"rewards/hint_following/std": 0.5039526224136353,
|
| 1260 |
+
"rewards/length_penalty/mean": -0.4265463054180145,
|
| 1261 |
+
"rewards/length_penalty/std": 0.12839393317699432,
|
| 1262 |
+
"sampling/importance_sampling_ratio/max": 2.7058398723602295,
|
| 1263 |
+
"sampling/importance_sampling_ratio/mean": 0.9903796911239624,
|
| 1264 |
+
"sampling/importance_sampling_ratio/min": 0.1684948354959488,
|
| 1265 |
+
"sampling/sampling_logp_difference/max": 1.7808502912521362,
|
| 1266 |
+
"sampling/sampling_logp_difference/mean": 0.027670899406075478,
|
| 1267 |
+
"step": 37,
|
| 1268 |
+
"step_time": 42.42564612603746
|
| 1269 |
+
},
|
| 1270 |
+
{
|
| 1271 |
+
"clip_ratio/high_max": 0.005249147206389655,
|
| 1272 |
+
"clip_ratio/high_mean": 0.005249147206389655,
|
| 1273 |
+
"clip_ratio/low_mean": 0.0019288610492367297,
|
| 1274 |
+
"clip_ratio/low_min": 0.0019288610492367297,
|
| 1275 |
+
"clip_ratio/region_mean": 0.007178008245925109,
|
| 1276 |
+
"completions/clipped_ratio": 0.1388888955116272,
|
| 1277 |
+
"completions/max_length": 3000.0,
|
| 1278 |
+
"completions/max_terminated_length": 2773.0,
|
| 1279 |
+
"completions/mean_length": 1562.9166259765625,
|
| 1280 |
+
"completions/mean_terminated_length": 1331.1290283203125,
|
| 1281 |
+
"completions/min_length": 508.0,
|
| 1282 |
+
"completions/min_terminated_length": 508.0,
|
| 1283 |
+
"entropy": 0.2739727521936099,
|
| 1284 |
+
"epoch": 0.01623931623931624,
|
| 1285 |
+
"frac_reward_zero_std": 0.0,
|
| 1286 |
+
"grad_norm": 0.05931999906897545,
|
| 1287 |
+
"learning_rate": 5e-05,
|
| 1288 |
+
"loss": 0.0111,
|
| 1289 |
+
"num_tokens": 2836603.0,
|
| 1290 |
+
"reward": 0.034583330154418945,
|
| 1291 |
+
"reward_std": 0.9446364045143127,
|
| 1292 |
+
"rewards/hint_following/mean": 0.5555555820465088,
|
| 1293 |
+
"rewards/hint_following/std": 0.7346308827400208,
|
| 1294 |
+
"rewards/length_penalty/mean": -0.5209722518920898,
|
| 1295 |
+
"rewards/length_penalty/std": 0.2565736174583435,
|
| 1296 |
+
"sampling/importance_sampling_ratio/max": 2.9026551246643066,
|
| 1297 |
+
"sampling/importance_sampling_ratio/mean": 0.9896891117095947,
|
| 1298 |
+
"sampling/importance_sampling_ratio/min": 0.1531003713607788,
|
| 1299 |
+
"sampling/sampling_logp_difference/max": 1.8766615390777588,
|
| 1300 |
+
"sampling/sampling_logp_difference/mean": 0.02661670744419098,
|
| 1301 |
+
"step": 38,
|
| 1302 |
+
"step_time": 54.65668713499326
|
| 1303 |
+
},
|
| 1304 |
+
{
|
| 1305 |
+
"clip_ratio/high_max": 0.0073317300993949175,
|
| 1306 |
+
"clip_ratio/high_mean": 0.0073317300993949175,
|
| 1307 |
+
"clip_ratio/low_mean": 0.0012036147963954136,
|
| 1308 |
+
"clip_ratio/low_min": 0.0012036147963954136,
|
| 1309 |
+
"clip_ratio/region_mean": 0.008535344852134585,
|
| 1310 |
+
"completions/clipped_ratio": 0.0,
|
| 1311 |
+
"completions/max_length": 2373.0,
|
| 1312 |
+
"completions/max_terminated_length": 2373.0,
|
| 1313 |
+
"completions/mean_length": 1587.7222900390625,
|
| 1314 |
+
"completions/mean_terminated_length": 1587.7222900390625,
|
| 1315 |
+
"completions/min_length": 887.0,
|
| 1316 |
+
"completions/min_terminated_length": 887.0,
|
| 1317 |
+
"entropy": 0.2784932255744934,
|
| 1318 |
+
"epoch": 0.016666666666666666,
|
| 1319 |
+
"frac_reward_zero_std": 0.0,
|
| 1320 |
+
"grad_norm": 0.05303090810775757,
|
| 1321 |
+
"learning_rate": 5e-05,
|
| 1322 |
+
"loss": -0.0225,
|
| 1323 |
+
"num_tokens": 2900313.0,
|
| 1324 |
+
"reward": 0.22075927257537842,
|
| 1325 |
+
"reward_std": 0.3945108652114868,
|
| 1326 |
+
"rewards/hint_following/mean": 0.75,
|
| 1327 |
+
"rewards/hint_following/std": 0.43915504217147827,
|
| 1328 |
+
"rewards/length_penalty/mean": -0.5292407274246216,
|
| 1329 |
+
"rewards/length_penalty/std": 0.10378893464803696,
|
| 1330 |
+
"sampling/importance_sampling_ratio/max": 2.234417200088501,
|
| 1331 |
+
"sampling/importance_sampling_ratio/mean": 0.9896702170372009,
|
| 1332 |
+
"sampling/importance_sampling_ratio/min": 0.22993366420269012,
|
| 1333 |
+
"sampling/sampling_logp_difference/max": 1.4699643850326538,
|
| 1334 |
+
"sampling/sampling_logp_difference/mean": 0.027140147984027863,
|
| 1335 |
+
"step": 39,
|
| 1336 |
+
"step_time": 45.66687847697176
|
| 1337 |
+
},
|
| 1338 |
+
{
|
| 1339 |
+
"clip_ratio/high_max": 0.008284316320593158,
|
| 1340 |
+
"clip_ratio/high_mean": 0.008284316320593158,
|
| 1341 |
+
"clip_ratio/low_mean": 0.0006285767303779721,
|
| 1342 |
+
"clip_ratio/low_min": 0.0006285767303779721,
|
| 1343 |
+
"clip_ratio/region_mean": 0.008912893012166023,
|
| 1344 |
+
"completions/clipped_ratio": 0.0,
|
| 1345 |
+
"completions/max_length": 2490.0,
|
| 1346 |
+
"completions/max_terminated_length": 2490.0,
|
| 1347 |
+
"completions/mean_length": 1358.638916015625,
|
| 1348 |
+
"completions/mean_terminated_length": 1358.638916015625,
|
| 1349 |
+
"completions/min_length": 668.0,
|
| 1350 |
+
"completions/min_terminated_length": 668.0,
|
| 1351 |
+
"entropy": 0.2635483493407567,
|
| 1352 |
+
"epoch": 0.017094017094017096,
|
| 1353 |
+
"frac_reward_zero_std": 0.0,
|
| 1354 |
+
"grad_norm": 0.061241693794727325,
|
| 1355 |
+
"learning_rate": 5e-05,
|
| 1356 |
+
"loss": -0.0001,
|
| 1357 |
+
"num_tokens": 2955062.0,
|
| 1358 |
+
"reward": 0.2693426012992859,
|
| 1359 |
+
"reward_std": 0.4795752167701721,
|
| 1360 |
+
"rewards/hint_following/mean": 0.7222222089767456,
|
| 1361 |
+
"rewards/hint_following/std": 0.45425674319267273,
|
| 1362 |
+
"rewards/length_penalty/mean": -0.4528796374797821,
|
| 1363 |
+
"rewards/length_penalty/std": 0.17493696510791779,
|
| 1364 |
+
"sampling/importance_sampling_ratio/max": 2.239511728286743,
|
| 1365 |
+
"sampling/importance_sampling_ratio/mean": 0.9903267621994019,
|
| 1366 |
+
"sampling/importance_sampling_ratio/min": 0.11606565117835999,
|
| 1367 |
+
"sampling/sampling_logp_difference/max": 2.153599262237549,
|
| 1368 |
+
"sampling/sampling_logp_difference/mean": 0.02778884768486023,
|
| 1369 |
+
"step": 40,
|
| 1370 |
+
"step_time": 44.78665240900591
|
| 1371 |
+
},
|
| 1372 |
+
{
|
| 1373 |
+
"clip_ratio/high_max": 0.0024162703969826302,
|
| 1374 |
+
"clip_ratio/high_mean": 0.0024162703969826302,
|
| 1375 |
+
"clip_ratio/low_mean": 0.004380864285243054,
|
| 1376 |
+
"clip_ratio/low_min": 0.004380864285243054,
|
| 1377 |
+
"clip_ratio/region_mean": 0.006797134643420577,
|
| 1378 |
+
"completions/clipped_ratio": 0.02777777798473835,
|
| 1379 |
+
"completions/max_length": 3000.0,
|
| 1380 |
+
"completions/max_terminated_length": 2931.0,
|
| 1381 |
+
"completions/mean_length": 1570.75,
|
| 1382 |
+
"completions/mean_terminated_length": 1529.914306640625,
|
| 1383 |
+
"completions/min_length": 437.0,
|
| 1384 |
+
"completions/min_terminated_length": 437.0,
|
| 1385 |
+
"entropy": 0.2851356367270152,
|
| 1386 |
+
"epoch": 0.01752136752136752,
|
| 1387 |
+
"frac_reward_zero_std": 0.0,
|
| 1388 |
+
"grad_norm": 0.06564202159643173,
|
| 1389 |
+
"learning_rate": 5e-05,
|
| 1390 |
+
"loss": 0.0083,
|
| 1391 |
+
"num_tokens": 3020207.0,
|
| 1392 |
+
"reward": 0.1708611100912094,
|
| 1393 |
+
"reward_std": 0.6461936831474304,
|
| 1394 |
+
"rewards/hint_following/mean": 0.6944444179534912,
|
| 1395 |
+
"rewards/hint_following/std": 0.524782657623291,
|
| 1396 |
+
"rewards/length_penalty/mean": -0.5235832929611206,
|
| 1397 |
+
"rewards/length_penalty/std": 0.23531726002693176,
|
| 1398 |
+
"sampling/importance_sampling_ratio/max": 3.0,
|
| 1399 |
+
"sampling/importance_sampling_ratio/mean": 0.9896803498268127,
|
| 1400 |
+
"sampling/importance_sampling_ratio/min": 0.2426270991563797,
|
| 1401 |
+
"sampling/sampling_logp_difference/max": 1.4162296056747437,
|
| 1402 |
+
"sampling/sampling_logp_difference/mean": 0.02950497530400753,
|
| 1403 |
+
"step": 41,
|
| 1404 |
+
"step_time": 55.908626700984314
|
| 1405 |
+
},
|
| 1406 |
+
{
|
| 1407 |
+
"clip_ratio/high_max": 0.0035200511144163706,
|
| 1408 |
+
"clip_ratio/high_mean": 0.0035200511144163706,
|
| 1409 |
+
"clip_ratio/low_mean": 0.0037633493387450776,
|
| 1410 |
+
"clip_ratio/low_min": 0.0037633493387450776,
|
| 1411 |
+
"clip_ratio/region_mean": 0.007283400433758895,
|
| 1412 |
+
"completions/clipped_ratio": 0.1944444477558136,
|
| 1413 |
+
"completions/max_length": 3000.0,
|
| 1414 |
+
"completions/max_terminated_length": 2916.0,
|
| 1415 |
+
"completions/mean_length": 1708.861083984375,
|
| 1416 |
+
"completions/mean_terminated_length": 1397.2069091796875,
|
| 1417 |
+
"completions/min_length": 601.0,
|
| 1418 |
+
"completions/min_terminated_length": 601.0,
|
| 1419 |
+
"entropy": 0.297603373726209,
|
| 1420 |
+
"epoch": 0.017948717948717947,
|
| 1421 |
+
"frac_reward_zero_std": 0.0,
|
| 1422 |
+
"grad_norm": 0.06374821066856384,
|
| 1423 |
+
"learning_rate": 5e-05,
|
| 1424 |
+
"loss": 0.0258,
|
| 1425 |
+
"num_tokens": 3087486.0,
|
| 1426 |
+
"reward": -0.40295371413230896,
|
| 1427 |
+
"reward_std": 0.9737837910652161,
|
| 1428 |
+
"rewards/hint_following/mean": 0.1666666716337204,
|
| 1429 |
+
"rewards/hint_following/std": 0.7367883920669556,
|
| 1430 |
+
"rewards/length_penalty/mean": -0.5696203708648682,
|
| 1431 |
+
"rewards/length_penalty/std": 0.28024521470069885,
|
| 1432 |
+
"sampling/importance_sampling_ratio/max": 2.632629871368408,
|
| 1433 |
+
"sampling/importance_sampling_ratio/mean": 0.9891336560249329,
|
| 1434 |
+
"sampling/importance_sampling_ratio/min": 0.16689430177211761,
|
| 1435 |
+
"sampling/sampling_logp_difference/max": 1.79039466381073,
|
| 1436 |
+
"sampling/sampling_logp_difference/mean": 0.029687926173210144,
|
| 1437 |
+
"step": 42,
|
| 1438 |
+
"step_time": 55.97696550388355
|
| 1439 |
+
},
|
| 1440 |
+
{
|
| 1441 |
+
"clip_ratio/high_max": 0.005934966184819738,
|
| 1442 |
+
"clip_ratio/high_mean": 0.005934966184819738,
|
| 1443 |
+
"clip_ratio/low_mean": 0.0023504976027955613,
|
| 1444 |
+
"clip_ratio/low_min": 0.0023504976027955613,
|
| 1445 |
+
"clip_ratio/region_mean": 0.008285463865225514,
|
| 1446 |
+
"completions/clipped_ratio": 0.0,
|
| 1447 |
+
"completions/max_length": 2141.0,
|
| 1448 |
+
"completions/max_terminated_length": 2141.0,
|
| 1449 |
+
"completions/mean_length": 1201.638916015625,
|
| 1450 |
+
"completions/mean_terminated_length": 1201.638916015625,
|
| 1451 |
+
"completions/min_length": 517.0,
|
| 1452 |
+
"completions/min_terminated_length": 517.0,
|
| 1453 |
+
"entropy": 0.29462653398513794,
|
| 1454 |
+
"epoch": 0.018376068376068377,
|
| 1455 |
+
"frac_reward_zero_std": 0.0,
|
| 1456 |
+
"grad_norm": 0.05552098527550697,
|
| 1457 |
+
"learning_rate": 5e-05,
|
| 1458 |
+
"loss": 0.0036,
|
| 1459 |
+
"num_tokens": 3135263.0,
|
| 1460 |
+
"reward": 0.12723149359226227,
|
| 1461 |
+
"reward_std": 0.5270769596099854,
|
| 1462 |
+
"rewards/hint_following/mean": 0.5277777910232544,
|
| 1463 |
+
"rewards/hint_following/std": 0.506309449672699,
|
| 1464 |
+
"rewards/length_penalty/mean": -0.40054628252983093,
|
| 1465 |
+
"rewards/length_penalty/std": 0.14752288162708282,
|
| 1466 |
+
"sampling/importance_sampling_ratio/max": 3.0,
|
| 1467 |
+
"sampling/importance_sampling_ratio/mean": 0.9892792701721191,
|
| 1468 |
+
"sampling/importance_sampling_ratio/min": 0.3035065531730652,
|
| 1469 |
+
"sampling/sampling_logp_difference/max": 1.192352056503296,
|
| 1470 |
+
"sampling/sampling_logp_difference/mean": 0.030870094895362854,
|
| 1471 |
+
"step": 43,
|
| 1472 |
+
"step_time": 37.3642987072235
|
| 1473 |
+
},
|
| 1474 |
+
{
|
| 1475 |
+
"clip_ratio/high_max": 0.0028009160111347833,
|
| 1476 |
+
"clip_ratio/high_mean": 0.0028009160111347833,
|
| 1477 |
+
"clip_ratio/low_mean": 0.003960246841112773,
|
| 1478 |
+
"clip_ratio/low_min": 0.003960246841112773,
|
| 1479 |
+
"clip_ratio/region_mean": 0.0067611627746373415,
|
| 1480 |
+
"completions/clipped_ratio": 0.2777777910232544,
|
| 1481 |
+
"completions/max_length": 3000.0,
|
| 1482 |
+
"completions/max_terminated_length": 2767.0,
|
| 1483 |
+
"completions/mean_length": 1834.611083984375,
|
| 1484 |
+
"completions/mean_terminated_length": 1386.3846435546875,
|
| 1485 |
+
"completions/min_length": 439.0,
|
| 1486 |
+
"completions/min_terminated_length": 439.0,
|
| 1487 |
+
"entropy": 0.2577643742163976,
|
| 1488 |
+
"epoch": 0.018803418803418803,
|
| 1489 |
+
"frac_reward_zero_std": 0.0,
|
| 1490 |
+
"grad_norm": 0.06315090507268906,
|
| 1491 |
+
"learning_rate": 5e-05,
|
| 1492 |
+
"loss": 0.0313,
|
| 1493 |
+
"num_tokens": 3208011.0,
|
| 1494 |
+
"reward": -0.22264817357063293,
|
| 1495 |
+
"reward_std": 1.158618688583374,
|
| 1496 |
+
"rewards/hint_following/mean": 0.3888888955116272,
|
| 1497 |
+
"rewards/hint_following/std": 0.903256893157959,
|
| 1498 |
+
"rewards/length_penalty/mean": -0.6115370988845825,
|
| 1499 |
+
"rewards/length_penalty/std": 0.3052543103694916,
|
| 1500 |
+
"sampling/importance_sampling_ratio/max": 2.770780324935913,
|
| 1501 |
+
"sampling/importance_sampling_ratio/mean": 0.9908032417297363,
|
| 1502 |
+
"sampling/importance_sampling_ratio/min": 0.14089906215667725,
|
| 1503 |
+
"sampling/sampling_logp_difference/max": 1.9597115516662598,
|
| 1504 |
+
"sampling/sampling_logp_difference/mean": 0.026477616280317307,
|
| 1505 |
+
"step": 44,
|
| 1506 |
+
"step_time": 57.508703485131264
|
| 1507 |
+
},
|
| 1508 |
+
{
|
| 1509 |
+
"clip_ratio/high_max": 0.0022431810890945294,
|
| 1510 |
+
"clip_ratio/high_mean": 0.0022431810890945294,
|
| 1511 |
+
"clip_ratio/low_mean": 0.0008466135962711027,
|
| 1512 |
+
"clip_ratio/low_min": 0.0008466135962711027,
|
| 1513 |
+
"clip_ratio/region_mean": 0.003089794685365632,
|
| 1514 |
+
"completions/clipped_ratio": 0.0,
|
| 1515 |
+
"completions/max_length": 2567.0,
|
| 1516 |
+
"completions/max_terminated_length": 2567.0,
|
| 1517 |
+
"completions/mean_length": 1403.611083984375,
|
| 1518 |
+
"completions/mean_terminated_length": 1403.611083984375,
|
| 1519 |
+
"completions/min_length": 791.0,
|
| 1520 |
+
"completions/min_terminated_length": 791.0,
|
| 1521 |
+
"entropy": 0.2975164105494817,
|
| 1522 |
+
"epoch": 0.019230769230769232,
|
| 1523 |
+
"frac_reward_zero_std": 0.0,
|
| 1524 |
+
"grad_norm": 0.0667228028178215,
|
| 1525 |
+
"learning_rate": 5e-05,
|
| 1526 |
+
"loss": 0.0231,
|
| 1527 |
+
"num_tokens": 3265633.0,
|
| 1528 |
+
"reward": 0.39324072003364563,
|
| 1529 |
+
"reward_std": 0.3923882842063904,
|
| 1530 |
+
"rewards/hint_following/mean": 0.8611111044883728,
|
| 1531 |
+
"rewards/hint_following/std": 0.35073620080947876,
|
| 1532 |
+
"rewards/length_penalty/mean": -0.4678703546524048,
|
| 1533 |
+
"rewards/length_penalty/std": 0.15880942344665527,
|
| 1534 |
+
"sampling/importance_sampling_ratio/max": 2.800001382827759,
|
| 1535 |
+
"sampling/importance_sampling_ratio/mean": 0.9887976050376892,
|
| 1536 |
+
"sampling/importance_sampling_ratio/min": 0.2656780183315277,
|
| 1537 |
+
"sampling/sampling_logp_difference/max": 1.325470209121704,
|
| 1538 |
+
"sampling/sampling_logp_difference/mean": 0.030811548233032227,
|
| 1539 |
+
"step": 45,
|
| 1540 |
+
"step_time": 45.27160808304325
|
| 1541 |
+
},
|
| 1542 |
+
{
|
| 1543 |
+
"clip_ratio/high_max": 0.007887479305888215,
|
| 1544 |
+
"clip_ratio/high_mean": 0.007887479305888215,
|
| 1545 |
+
"clip_ratio/low_mean": 0.000994703887651364,
|
| 1546 |
+
"clip_ratio/low_min": 0.000994703887651364,
|
| 1547 |
+
"clip_ratio/region_mean": 0.008882183115929365,
|
| 1548 |
+
"completions/clipped_ratio": 0.0,
|
| 1549 |
+
"completions/max_length": 2359.0,
|
| 1550 |
+
"completions/max_terminated_length": 2359.0,
|
| 1551 |
+
"completions/mean_length": 1282.52783203125,
|
| 1552 |
+
"completions/mean_terminated_length": 1282.52783203125,
|
| 1553 |
+
"completions/min_length": 561.0,
|
| 1554 |
+
"completions/min_terminated_length": 561.0,
|
| 1555 |
+
"entropy": 0.2848661094903946,
|
| 1556 |
+
"epoch": 0.019658119658119658,
|
| 1557 |
+
"frac_reward_zero_std": 0.0,
|
| 1558 |
+
"grad_norm": 0.051431454718112946,
|
| 1559 |
+
"learning_rate": 5e-05,
|
| 1560 |
+
"loss": -0.0024,
|
| 1561 |
+
"num_tokens": 3318716.0,
|
| 1562 |
+
"reward": 0.37804630398750305,
|
| 1563 |
+
"reward_std": 0.3656369149684906,
|
| 1564 |
+
"rewards/hint_following/mean": 0.8055555820465088,
|
| 1565 |
+
"rewards/hint_following/std": 0.4013865292072296,
|
| 1566 |
+
"rewards/length_penalty/mean": -0.42750924825668335,
|
| 1567 |
+
"rewards/length_penalty/std": 0.16107404232025146,
|
| 1568 |
+
"sampling/importance_sampling_ratio/max": 3.0,
|
| 1569 |
+
"sampling/importance_sampling_ratio/mean": 0.9896759986877441,
|
| 1570 |
+
"sampling/importance_sampling_ratio/min": 0.09941968321800232,
|
| 1571 |
+
"sampling/sampling_logp_difference/max": 2.3084051609039307,
|
| 1572 |
+
"sampling/sampling_logp_difference/mean": 0.029690390452742577,
|
| 1573 |
+
"step": 46,
|
| 1574 |
+
"step_time": 41.876618986018
|
| 1575 |
+
},
|
| 1576 |
+
{
|
| 1577 |
+
"clip_ratio/high_max": 0.003261159232351929,
|
| 1578 |
+
"clip_ratio/high_mean": 0.003261159232351929,
|
| 1579 |
+
"clip_ratio/low_mean": 0.0030720558910009763,
|
| 1580 |
+
"clip_ratio/low_min": 0.0030720558910009763,
|
| 1581 |
+
"clip_ratio/region_mean": 0.0063332150457426906,
|
| 1582 |
+
"completions/clipped_ratio": 0.0833333358168602,
|
| 1583 |
+
"completions/max_length": 3000.0,
|
| 1584 |
+
"completions/max_terminated_length": 2990.0,
|
| 1585 |
+
"completions/mean_length": 1868.77783203125,
|
| 1586 |
+
"completions/mean_terminated_length": 1765.939453125,
|
| 1587 |
+
"completions/min_length": 947.0,
|
| 1588 |
+
"completions/min_terminated_length": 947.0,
|
| 1589 |
+
"entropy": 0.3000795841217041,
|
| 1590 |
+
"epoch": 0.020085470085470087,
|
| 1591 |
+
"frac_reward_zero_std": 0.0,
|
| 1592 |
+
"grad_norm": 0.07183089107275009,
|
| 1593 |
+
"learning_rate": 5e-05,
|
| 1594 |
+
"loss": 0.0154,
|
| 1595 |
+
"num_tokens": 3395160.0,
|
| 1596 |
+
"reward": -0.12292594462633133,
|
| 1597 |
+
"reward_std": 0.785350501537323,
|
| 1598 |
+
"rewards/hint_following/mean": 0.5,
|
| 1599 |
+
"rewards/hint_following/std": 0.6546536684036255,
|
| 1600 |
+
"rewards/length_penalty/mean": -0.6229259371757507,
|
| 1601 |
+
"rewards/length_penalty/std": 0.2120964676141739,
|
| 1602 |
+
"sampling/importance_sampling_ratio/max": 2.9097461700439453,
|
| 1603 |
+
"sampling/importance_sampling_ratio/mean": 0.988696277141571,
|
| 1604 |
+
"sampling/importance_sampling_ratio/min": 0.10777360945940018,
|
| 1605 |
+
"sampling/sampling_logp_difference/max": 2.227722406387329,
|
| 1606 |
+
"sampling/sampling_logp_difference/mean": 0.030243437737226486,
|
| 1607 |
+
"step": 47,
|
| 1608 |
+
"step_time": 58.67247669992503
|
| 1609 |
+
},
|
| 1610 |
+
{
|
| 1611 |
+
"clip_ratio/high_max": 0.008134961283455292,
|
| 1612 |
+
"clip_ratio/high_mean": 0.008134961283455292,
|
| 1613 |
+
"clip_ratio/low_mean": 0.0004609357565641403,
|
| 1614 |
+
"clip_ratio/low_min": 0.0004609357565641403,
|
| 1615 |
+
"clip_ratio/region_mean": 0.008595897040019432,
|
| 1616 |
+
"completions/clipped_ratio": 0.2222222238779068,
|
| 1617 |
+
"completions/max_length": 3000.0,
|
| 1618 |
+
"completions/max_terminated_length": 2543.0,
|
| 1619 |
+
"completions/mean_length": 1645.8333740234375,
|
| 1620 |
+
"completions/mean_terminated_length": 1258.9285888671875,
|
| 1621 |
+
"completions/min_length": 729.0,
|
| 1622 |
+
"completions/min_terminated_length": 729.0,
|
| 1623 |
+
"entropy": 0.24671275417009988,
|
| 1624 |
+
"epoch": 0.020512820512820513,
|
| 1625 |
+
"frac_reward_zero_std": 0.0,
|
| 1626 |
+
"grad_norm": 0.06476566940546036,
|
| 1627 |
+
"learning_rate": 5e-05,
|
| 1628 |
+
"loss": 0.0513,
|
| 1629 |
+
"num_tokens": 3461970.0,
|
| 1630 |
+
"reward": 0.006944431457668543,
|
| 1631 |
+
"reward_std": 1.0957543849945068,
|
| 1632 |
+
"rewards/hint_following/mean": 0.5555555820465088,
|
| 1633 |
+
"rewards/hint_following/std": 0.8432740569114685,
|
| 1634 |
+
"rewards/length_penalty/mean": -0.5486111044883728,
|
| 1635 |
+
"rewards/length_penalty/std": 0.2772509455680847,
|
| 1636 |
+
"sampling/importance_sampling_ratio/max": 2.0642147064208984,
|
| 1637 |
+
"sampling/importance_sampling_ratio/mean": 0.9907264113426208,
|
| 1638 |
+
"sampling/importance_sampling_ratio/min": 0.04710150137543678,
|
| 1639 |
+
"sampling/sampling_logp_difference/max": 3.055450439453125,
|
| 1640 |
+
"sampling/sampling_logp_difference/mean": 0.025603190064430237,
|
| 1641 |
+
"step": 48,
|
| 1642 |
+
"step_time": 55.27118606586009
|
| 1643 |
+
},
|
| 1644 |
+
{
|
| 1645 |
+
"clip_ratio/high_max": 0.0011131278927981232,
|
| 1646 |
+
"clip_ratio/high_mean": 0.0011131278927981232,
|
| 1647 |
+
"clip_ratio/low_mean": 0.006329516724993785,
|
| 1648 |
+
"clip_ratio/low_min": 0.006329516724993785,
|
| 1649 |
+
"clip_ratio/region_mean": 0.007442644564434886,
|
| 1650 |
+
"completions/clipped_ratio": 0.0,
|
| 1651 |
+
"completions/max_length": 1867.0,
|
| 1652 |
+
"completions/max_terminated_length": 1867.0,
|
| 1653 |
+
"completions/mean_length": 1157.6666259765625,
|
| 1654 |
+
"completions/mean_terminated_length": 1157.6666259765625,
|
| 1655 |
+
"completions/min_length": 722.0,
|
| 1656 |
+
"completions/min_terminated_length": 722.0,
|
| 1657 |
+
"entropy": 0.2628251537680626,
|
| 1658 |
+
"epoch": 0.02094017094017094,
|
| 1659 |
+
"frac_reward_zero_std": 0.0,
|
| 1660 |
+
"grad_norm": 0.06659235060214996,
|
| 1661 |
+
"learning_rate": 5e-05,
|
| 1662 |
+
"loss": 0.0356,
|
| 1663 |
+
"num_tokens": 3510510.0,
|
| 1664 |
+
"reward": 0.5863333344459534,
|
| 1665 |
+
"reward_std": 0.22435788810253143,
|
| 1666 |
+
"rewards/hint_following/mean": 0.9722222089767456,
|
| 1667 |
+
"rewards/hint_following/std": 0.1666666716337204,
|
| 1668 |
+
"rewards/length_penalty/mean": -0.3858889043331146,
|
| 1669 |
+
"rewards/length_penalty/std": 0.10318709164857864,
|
| 1670 |
+
"sampling/importance_sampling_ratio/max": 2.3799936771392822,
|
| 1671 |
+
"sampling/importance_sampling_ratio/mean": 0.9904940128326416,
|
| 1672 |
+
"sampling/importance_sampling_ratio/min": 0.06988711655139923,
|
| 1673 |
+
"sampling/sampling_logp_difference/max": 2.6608738899230957,
|
| 1674 |
+
"sampling/sampling_logp_difference/mean": 0.030541572719812393,
|
| 1675 |
+
"step": 49,
|
| 1676 |
+
"step_time": 33.86789354507346
|
| 1677 |
+
},
|
| 1678 |
+
{
|
| 1679 |
+
"clip_ratio/high_max": 0.0,
|
| 1680 |
+
"clip_ratio/high_mean": 0.0,
|
| 1681 |
+
"clip_ratio/low_mean": 0.0,
|
| 1682 |
+
"clip_ratio/low_min": 0.0,
|
| 1683 |
+
"clip_ratio/region_mean": 0.0,
|
| 1684 |
+
"completions/clipped_ratio": 0.1666666716337204,
|
| 1685 |
+
"completions/max_length": 3000.0,
|
| 1686 |
+
"completions/max_terminated_length": 2940.0,
|
| 1687 |
+
"completions/mean_length": 1683.0,
|
| 1688 |
+
"completions/mean_terminated_length": 1419.60009765625,
|
| 1689 |
+
"completions/min_length": 730.0,
|
| 1690 |
+
"completions/min_terminated_length": 730.0,
|
| 1691 |
+
"entropy": 0.24505582451820374,
|
| 1692 |
+
"epoch": 0.021367521367521368,
|
| 1693 |
+
"frac_reward_zero_std": 1.0,
|
| 1694 |
+
"grad_norm": 0.0,
|
| 1695 |
+
"learning_rate": 5e-05,
|
| 1696 |
+
"loss": 0.0,
|
| 1697 |
+
"num_tokens": 3577332.0,
|
| 1698 |
+
"reward": 0.10566666722297668,
|
| 1699 |
+
"reward_std": 0.9825097322463989,
|
| 1700 |
+
"rewards/hint_following/mean": 0.6666666865348816,
|
| 1701 |
+
"rewards/hint_following/std": 0.7559289932250977,
|
| 1702 |
+
"rewards/length_penalty/mean": -0.5609999895095825,
|
| 1703 |
+
"rewards/length_penalty/std": 0.30474284291267395,
|
| 1704 |
+
"sampling/importance_sampling_ratio/max": 3.0,
|
| 1705 |
+
"sampling/importance_sampling_ratio/mean": 0.9918250441551208,
|
| 1706 |
+
"sampling/importance_sampling_ratio/min": 0.06838197261095047,
|
| 1707 |
+
"sampling/sampling_logp_difference/max": 2.6826460361480713,
|
| 1708 |
+
"sampling/sampling_logp_difference/mean": 0.028820084407925606,
|
| 1709 |
+
"step": 50,
|
| 1710 |
+
"step_time": 54.36680988012813
|
| 1711 |
+
}
|
| 1712 |
+
],
|
| 1713 |
+
"logging_steps": 1,
|
| 1714 |
+
"max_steps": 250,
|
| 1715 |
+
"num_input_tokens_seen": 3577332,
|
| 1716 |
+
"num_train_epochs": 1,
|
| 1717 |
+
"save_steps": 50,
|
| 1718 |
+
"stateful_callbacks": {
|
| 1719 |
+
"TrainerControl": {
|
| 1720 |
+
"args": {
|
| 1721 |
+
"should_epoch_stop": false,
|
| 1722 |
+
"should_evaluate": false,
|
| 1723 |
+
"should_log": false,
|
| 1724 |
+
"should_save": true,
|
| 1725 |
+
"should_training_stop": false
|
| 1726 |
+
},
|
| 1727 |
+
"attributes": {}
|
| 1728 |
+
}
|
| 1729 |
+
},
|
| 1730 |
+
"total_flos": 0.0,
|
| 1731 |
+
"train_batch_size": 6,
|
| 1732 |
+
"trial_name": null,
|
| 1733 |
+
"trial_params": null
|
| 1734 |
+
}
|