| library_name: peft | |
| license: mit | |
| base_model: FacebookAI/roberta-base | |
| tags: | |
| - generated_from_trainer | |
| model-index: | |
| - name: unruly-cub-728 | |
| results: [] | |
| <!-- This model card has been generated automatically according to the information the Trainer had access to. You | |
| should probably proofread and complete it, then remove this comment. --> | |
| # unruly-cub-728 | |
| This model is a fine-tuned version of [FacebookAI/roberta-base](https://huggingface.co/FacebookAI/roberta-base) on the None dataset. | |
| ## Model description | |
| More information needed | |
| ## Intended uses & limitations | |
| More information needed | |
| ## Training and evaluation data | |
| More information needed | |
| ## Training procedure | |
| ### Training hyperparameters | |
| The following hyperparameters were used during training: | |
| - learning_rate: 5.624548128205211e-05 | |
| - train_batch_size: 32 | |
| - eval_batch_size: 32 | |
| - seed: 2024 | |
| - optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments | |
| - lr_scheduler_type: linear | |
| - num_epochs: 1 | |
| ### Training results | |
| | Training Loss | Epoch | Step | Validation Loss | Hamming Loss | Zero One Loss | Jaccard Score | Hamming Loss Optimised | Hamming Loss Threshold | Zero One Loss Optimised | Zero One Loss Threshold | Jaccard Score Optimised | Jaccard Score Threshold | | |
| |:-------------:|:-----:|:----:|:---------------:|:------------:|:-------------:|:-------------:|:----------------------:|:----------------------:|:-----------------------:|:-----------------------:|:-----------------------:|:-----------------------:| | |
| | No log | 1.0 | 100 | 0.7110 | 0.6525 | 1.0 | 0.8869 | 0.1123 | 0.5944 | 1.0 | 0.9000 | 0.8878 | 0.2889 | | |
| ### Framework versions | |
| - PEFT 0.13.2 | |
| - Transformers 4.47.0 | |
| - Pytorch 2.5.1+cu124 | |
| - Datasets 3.1.0 | |
| - Tokenizers 0.21.0 |