Instructions to use selmamalak/derma-beit-base-finetuned with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use selmamalak/derma-beit-base-finetuned with PEFT:
Task type is invalid.
- Notebooks
- Google Colab
- Kaggle
Download all_results.json from selmamalak/derma-beit-base-finetuned: direct link, hf CLI and curl.
- Browser
- Download file 508 Bytes
-
https://huggingface.co/selmamalak/derma-beit-base-finetuned/resolve/af30143be10fc9335acfba04d260f12bc4bbfe3b/all_results.json
- Command line
-
hf download hf://selmamalak/derma-beit-base-finetuned@af30143be10fc9335acfba04d260f12bc4bbfe3b/all_results.json
-
curl -L -o all_results.json https://huggingface.co/selmamalak/derma-beit-base-finetuned/resolve/af30143be10fc9335acfba04d260f12bc4bbfe3b/all_results.json
508 Bytes
| { | |
| "epoch": 9.95, | |
| "eval_accuracy": 0.7561097256857855, | |
| "eval_f1": 0.5270746588062634, | |
| "eval_loss": 0.6239711046218872, | |
| "eval_precision": 0.5741529640634522, | |
| "eval_recall": 0.5353373036113024, | |
| "eval_runtime": 11.7344, | |
| "eval_samples_per_second": 170.865, | |
| "eval_steps_per_second": 10.738, | |
| "total_flos": 5.440571948014866e+18, | |
| "train_loss": 0.7656277652180523, | |
| "train_runtime": 925.5702, | |
| "train_samples_per_second": 75.705, | |
| "train_steps_per_second": 1.178 | |
| } |