| library_name: transformers | |
| base_model: allenai/scibert_scivocab_uncased | |
| tags: | |
| - generated_from_trainer | |
| metrics: | |
| - accuracy | |
| model-index: | |
| - name: defect-classification-scibert-prompt-02-epochs | |
| 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. --> | |
| # defect-classification-scibert-prompt-02-epochs | |
| This model is a fine-tuned version of [allenai/scibert_scivocab_uncased](https://huggingface.co/allenai/scibert_scivocab_uncased) on an unknown dataset. | |
| It achieves the following results on the evaluation set: | |
| - Loss: 0.4014 | |
| - Accuracy: 0.8090 | |
| ## 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: 2e-05 | |
| - train_batch_size: 256 | |
| - eval_batch_size: 256 | |
| - seed: 42 | |
| - optimizer: Use 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: 2 | |
| ### Training results | |
| | Training Loss | Epoch | Step | Validation Loss | Accuracy | | |
| |:-------------:|:-----:|:------:|:---------------:|:--------:| | |
| | 0.3611 | 1.0 | 159250 | 0.4036 | 0.8099 | | |
| | 0.3564 | 2.0 | 318500 | 0.4014 | 0.8090 | | |
| ### Framework versions | |
| - Transformers 4.47.0 | |
| - Pytorch 2.5.1+cu124 | |
| - Datasets 3.2.0 | |
| - Tokenizers 0.21.0 | |