| license: mit | |
| base_model: joeddav/xlm-roberta-large-xnli | |
| tags: | |
| - generated_from_trainer | |
| model-index: | |
| - name: xlm-roberta-large-finetuned-hate-implicit | |
| 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. --> | |
| # xlm-roberta-large-finetuned-hate-implicit | |
| This model is a fine-tuned version of [joeddav/xlm-roberta-large-xnli](https://huggingface.co/joeddav/xlm-roberta-large-xnli) on the None dataset. | |
| It achieves the following results on the evaluation set: | |
| - eval_loss: 0.6051 | |
| - eval_accuracy: 0.7768 | |
| - eval_f1: 0.7721 | |
| - eval_runtime: 107.6127 | |
| - eval_samples_per_second: 39.921 | |
| - eval_steps_per_second: 0.316 | |
| - epoch: 3.98 | |
| - step: 537 | |
| ## 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: 128 | |
| - eval_batch_size: 128 | |
| - seed: 42 | |
| - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 | |
| - lr_scheduler_type: linear | |
| - num_epochs: 5 | |
| ### Framework versions | |
| - Transformers 4.31.0 | |
| - Pytorch 2.0.1+cu117 | |
| - Datasets 2.14.4 | |
| - Tokenizers 0.13.3 | |