Instructions to use ucla-cmllab/llama-2-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-2-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-2-qlora-ultrachat-200k-processed-indicator-0.6: direct link, hf CLI and curl.
- Browser
- Download file 421 Bytes
-
https://huggingface.co/ucla-cmllab/llama-2-qlora-ultrachat-200k-processed-indicator-0.6/resolve/main/all_results.json
- Command line
-
hf download hf://ucla-cmllab/llama-2-qlora-ultrachat-200k-processed-indicator-0.6/all_results.json
-
curl -L -o all_results.json https://huggingface.co/ucla-cmllab/llama-2-qlora-ultrachat-200k-processed-indicator-0.6/resolve/main/all_results.json
421 Bytes
| { | |
| "epoch": 0.9997305930800908, | |
| "eval_loss": 0.8975253105163574, | |
| "eval_runtime": 1716.6795, | |
| "eval_samples": 9999, | |
| "eval_samples_per_second": 5.825, | |
| "eval_steps_per_second": 0.364, | |
| "total_flos": 5.273312589722419e+16, | |
| "train_loss": 0.9348164240617108, | |
| "train_runtime": 152106.1857, | |
| "train_samples": 207864, | |
| "train_samples_per_second": 1.367, | |
| "train_steps_per_second": 0.021 | |
| } |