| library_name: transformers | |
| license: mit | |
| base_model: microsoft/deberta-v3-base | |
| tags: | |
| - generated_from_trainer | |
| model-index: | |
| - name: melodic-crow-463 | |
| 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. --> | |
| # melodic-crow-463 | |
| This model is a fine-tuned version of [microsoft/deberta-v3-base](https://huggingface.co/microsoft/deberta-v3-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: 4.5932967632023205e-06 | |
| - 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 | 0.4743 | 0.1123 | 1.0 | 1.0 | 0.1123 | 0.5944 | 0.96 | 0.4005 | 0.8756 | 0.2838 | | |
| ### Framework versions | |
| - Transformers 4.47.0 | |
| - Pytorch 2.5.1+cu124 | |
| - Datasets 3.1.0 | |
| - Tokenizers 0.21.0 | |