Instructions to use ucla-cmllab/llama-3-qlora-ultrachat-200k-processed-indicator-0.6 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use ucla-cmllab/llama-3-qlora-ultrachat-200k-processed-indicator-0.6 with PEFT:
Task type is invalid.
- Notebooks
- Google Colab
- Kaggle
Download all_results.json from ucla-cmllab/llama-3-qlora-ultrachat-200k-processed-indicator-0.6: direct link, hf CLI and curl.
- Browser
- Download file 421 Bytes
-
https://huggingface.co/ucla-cmllab/llama-3-qlora-ultrachat-200k-processed-indicator-0.6/resolve/1d91d366a561d903425b2844a8d489975a688770/all_results.json
- Command line
-
hf download hf://ucla-cmllab/llama-3-qlora-ultrachat-200k-processed-indicator-0.6@1d91d366a561d903425b2844a8d489975a688770/all_results.json
-
curl -L -o all_results.json https://huggingface.co/ucla-cmllab/llama-3-qlora-ultrachat-200k-processed-indicator-0.6/resolve/1d91d366a561d903425b2844a8d489975a688770/all_results.json
421 Bytes
| { | |
| "epoch": 0.9997305930800908, | |
| "eval_loss": 1.0235061645507812, | |
| "eval_runtime": 3765.5428, | |
| "eval_samples": 23109, | |
| "eval_samples_per_second": 6.137, | |
| "eval_steps_per_second": 0.384, | |
| "total_flos": 4.15615026158633e+16, | |
| "train_loss": 1.0426253444200522, | |
| "train_runtime": 139956.5138, | |
| "train_samples": 207864, | |
| "train_samples_per_second": 1.485, | |
| "train_steps_per_second": 0.023 | |
| } |