| license: mit | |
| base_model: roberta-base | |
| tags: | |
| - generated_from_trainer | |
| metrics: | |
| - f1 | |
| - accuracy | |
| model-index: | |
| - name: RewardModelSmallerQuestionWithTwoLabelsLengthJustified | |
| 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. --> | |
| # RewardModelSmallerQuestionWithTwoLabelsLengthJustified | |
| 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: 0.4883 | |
| - F1: 0.7873 | |
| - Roc Auc: 0.7877 | |
| - Accuracy: 0.7857 | |
| ## 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: 8 | |
| - eval_batch_size: 8 | |
| - seed: 42 | |
| - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 | |
| - lr_scheduler_type: linear | |
| - num_epochs: 4 | |
| ### Training results | |
| | Training Loss | Epoch | Step | Validation Loss | F1 | Roc Auc | Accuracy | | |
| |:-------------:|:-----:|:----:|:---------------:|:------:|:-------:|:--------:| | |
| | 0.6771 | 1.0 | 185 | 0.6633 | 0.5913 | 0.5913 | 0.5913 | | |
| | 0.6024 | 2.0 | 370 | 0.5766 | 0.7276 | 0.7282 | 0.7262 | | |
| | 0.5358 | 3.0 | 555 | 0.4883 | 0.7873 | 0.7877 | 0.7857 | | |
| | 0.4456 | 4.0 | 740 | 0.5200 | 0.7778 | 0.7778 | 0.7738 | | |
| ### Framework versions | |
| - Transformers 4.35.2 | |
| - Pytorch 2.1.0+cu118 | |
| - Datasets 2.15.0 | |
| - Tokenizers 0.15.0 | |