--- library_name: transformers license: mit base_model: FacebookAI/xlm-roberta-base tags: - generated_from_trainer metrics: - accuracy model-index: - name: ToxicClassification2.0 results: [] --- # ToxicClassification2.0 This model is a fine-tuned version of [FacebookAI/xlm-roberta-base](https://huggingface.co/FacebookAI/xlm-roberta-base) on an unknown dataset. It achieves the following results on the evaluation set: - Loss: 0.7477 - Accuracy: 0.8677 ## 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: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments - lr_scheduler_type: linear - num_epochs: 10 ### Training results | Training Loss | Epoch | Step | Validation Loss | Accuracy | |:-------------:|:-----:|:----:|:---------------:|:--------:| | 0.4987 | 1.0 | 970 | 0.3175 | 0.8598 | | 0.3342 | 2.0 | 1940 | 0.3325 | 0.8692 | | 0.2808 | 3.0 | 2910 | 0.3273 | 0.8675 | | 0.2514 | 4.0 | 3880 | 0.3878 | 0.8652 | | 0.2075 | 5.0 | 4850 | 0.4068 | 0.8611 | | 0.1887 | 6.0 | 5820 | 0.5277 | 0.8692 | | 0.1641 | 7.0 | 6790 | 0.6208 | 0.8662 | | 0.1419 | 8.0 | 7760 | 0.6979 | 0.8698 | | 0.1150 | 9.0 | 8730 | 0.7489 | 0.8673 | | 0.1005 | 10.0 | 9700 | 0.7477 | 0.8677 | ### Framework versions - Transformers 5.13.1 - Pytorch 2.11.0+cu128 - Datasets 4.0.0 - Tokenizers 0.22.2