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 train_results.json from ucla-cmllab/llama-2-qlora-ultrachat-200k-processed-indicator-0.6: direct link, hf CLI and curl.
- Browser
- Download file 253 Bytes
-
https://huggingface.co/ucla-cmllab/llama-2-qlora-ultrachat-200k-processed-indicator-0.6/resolve/main/train_results.json
- Command line
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hf download hf://ucla-cmllab/llama-2-qlora-ultrachat-200k-processed-indicator-0.6/train_results.json
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curl -L -o train_results.json https://huggingface.co/ucla-cmllab/llama-2-qlora-ultrachat-200k-processed-indicator-0.6/resolve/main/train_results.json
253 Bytes
| { | |
| "epoch": 0.9997305930800908, | |
| "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 | |
| } |