| library_name: transformers | |
| base_model: uitnlp/visobert | |
| tags: | |
| - generated_from_trainer | |
| model-index: | |
| - name: hatespeech-multitask-vithsd | |
| 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. --> | |
| # hatespeech-multitask-vithsd | |
| This model is a fine-tuned version of [uitnlp/visobert](https://huggingface.co/uitnlp/visobert) on the None dataset. | |
| It achieves the following results on the evaluation set: | |
| - Loss: 0.4582 | |
| - Hamming Loss: 0.104 | |
| - Subset Accuracy: 0.0 | |
| - Per Label Accuracy: 0.8960 | |
| - F1 Macro: 0.1837 | |
| - F1 Weighted: 0.6493 | |
| ## 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: 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 | |
| - lr_scheduler_warmup_ratio: 0.1 | |
| - num_epochs: 1 | |
| ### Training results | |
| ### Framework versions | |
| - Transformers 4.57.6 | |
| - Pytorch 2.9.0+cpu | |
| - Datasets 4.0.0 | |
| - Tokenizers 0.22.2 | |