| library_name: transformers | |
| license: mit | |
| base_model: roberta-large | |
| tags: | |
| - generated_from_trainer | |
| metrics: | |
| - accuracy | |
| - precision | |
| - recall | |
| - f1 | |
| model-index: | |
| - name: PuritySanctity_binary | |
| 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. --> | |
| # PuritySanctity_binary | |
| This model is a fine-tuned version of [roberta-large](https://huggingface.co/roberta-large) on the None dataset. | |
| It achieves the following results on the evaluation set: | |
| - Loss: 0.6174 | |
| - Accuracy: 0.6904 | |
| - Precision: 0.6805 | |
| - Recall: 0.7273 | |
| - F1: 0.7031 | |
| ## 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: 32 | |
| - eval_batch_size: 32 | |
| - seed: 42 | |
| - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 | |
| - lr_scheduler_type: linear | |
| - num_epochs: 3 | |
| ### Training results | |
| | Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1 | | |
| |:-------------:|:-----:|:----:|:---------------:|:--------:|:---------:|:------:|:------:| | |
| | No log | 1.0 | 123 | 0.6316 | 0.6548 | 0.6182 | 0.8242 | 0.7065 | | |
| | No log | 2.0 | 246 | 0.6060 | 0.6843 | 0.6782 | 0.7111 | 0.6943 | | |
| | No log | 3.0 | 369 | 0.6174 | 0.6904 | 0.6805 | 0.7273 | 0.7031 | | |
| ### Framework versions | |
| - Transformers 4.44.1 | |
| - Pytorch 1.11.0 | |
| - Datasets 2.12.0 | |
| - Tokenizers 0.19.1 | |