| license: cc | |
| base_model: davidmasip/racism | |
| tags: | |
| - generated_from_trainer | |
| metrics: | |
| - accuracy | |
| - precision | |
| - recall | |
| model-index: | |
| - name: racism-finetuned-detests-wandb24 | |
| 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. --> | |
| # racism-finetuned-detests-wandb24 | |
| This model is a fine-tuned version of [davidmasip/racism](https://huggingface.co/davidmasip/racism) on the None dataset. | |
| It achieves the following results on the evaluation set: | |
| - Loss: 0.3916 | |
| - Accuracy: 0.8380 | |
| - F1-score: 0.7712 | |
| - Precision: 0.7692 | |
| - Recall: 0.7733 | |
| - Auc: 0.7733 | |
| ## 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: 3e-05 | |
| - train_batch_size: 64 | |
| - eval_batch_size: 64 | |
| - seed: 42 | |
| - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 | |
| - lr_scheduler_type: linear | |
| - num_epochs: 2 | |
| ### Training results | |
| | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1-score | Precision | Recall | Auc | | |
| |:-------------:|:-----:|:----:|:---------------:|:--------:|:--------:|:---------:|:------:|:------:| | |
| | 0.357 | 1.0 | 39 | 0.3343 | 0.8576 | 0.7614 | 0.8374 | 0.7277 | 0.7277 | | |
| | 0.1109 | 2.0 | 78 | 0.3916 | 0.8380 | 0.7712 | 0.7692 | 0.7733 | 0.7733 | | |
| ### Framework versions | |
| - Transformers 4.37.2 | |
| - Pytorch 2.1.0+cu121 | |
| - Datasets 2.17.0 | |
| - Tokenizers 0.15.1 | |