| license: mit | |
| tags: | |
| - generated_from_trainer | |
| metrics: | |
| - accuracy | |
| - recall | |
| - precision | |
| model-index: | |
| - name: pulf-classifier_roberta_final | |
| 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. --> | |
| # pulf-classifier_roberta_final | |
| This model is a fine-tuned version of [roberta-base](https://huggingface.co/roberta-base) on the None dataset. | |
| It achieves the following results on the evaluation set: | |
| - Loss: 0.0165 | |
| - Accuracy: 0.9954 | |
| - F1-score: 0.9909 | |
| - Recall: 0.9917 | |
| - Precision: 0.9902 | |
| ## 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: 16 | |
| - eval_batch_size: 16 | |
| - 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 | F1-score | Recall | Precision | | |
| |:-------------:|:-----:|:-----:|:---------------:|:--------:|:--------:|:------:|:---------:| | |
| | 0.0248 | 1.0 | 10746 | 0.0204 | 0.9937 | 0.9875 | 0.9859 | 0.9891 | | |
| | 0.0228 | 2.0 | 21492 | 0.0152 | 0.9963 | 0.9926 | 0.9906 | 0.9946 | | |
| | 0.0201 | 3.0 | 32238 | 0.0165 | 0.9954 | 0.9909 | 0.9917 | 0.9902 | | |
| ### Framework versions | |
| - Transformers 4.28.1 | |
| - Pytorch 2.0.0+cu118 | |
| - Datasets 2.11.0 | |
| - Tokenizers 0.13.3 | |