Instructions to use humanlong/improving-self-evolution-mbpp with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use humanlong/improving-self-evolution-mbpp with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("humanlong/improving-self-evolution-mbpp", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download plain/training_stats.json from humanlong/improving-self-evolution-mbpp: direct link, hf CLI and curl.
- Browser
- Download file 270 Bytes
-
https://huggingface.co/humanlong/improving-self-evolution-mbpp/resolve/main/plain/training_stats.json
- Command line
-
hf download hf://humanlong/improving-self-evolution-mbpp/plain/training_stats.json
-
curl -L -o training_stats.json https://huggingface.co/humanlong/improving-self-evolution-mbpp/resolve/main/plain/training_stats.json
270 Bytes
| { | |
| "examples": 4656, | |
| "optimizer_steps": 291, | |
| "mean_loss": 0.6136689797856707, | |
| "epochs": 1, | |
| "truncated_examples": 0, | |
| "truncated_tokens": 0, | |
| "supervised_tokens_per_epoch": 1189419, | |
| "trainable_parameter_count": 2179072, | |
| "loss_scope": "all", | |
| "seed": 48 | |
| } | |