| --- |
| library_name: transformers |
| license: apache-2.0 |
| base_model: nickprock/setfit-italian-hate-speech |
| tags: |
| - generated_from_trainer |
| metrics: |
| - accuracy |
| - f1 |
| - precision |
| - recall |
| model-index: |
| - name: MultiPRIDE-baseline-it |
| 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. --> |
|
|
| # MultiPRIDE-baseline-it |
|
|
| This model is a fine-tuned version of [nickprock/setfit-italian-hate-speech](https://huggingface.co/nickprock/setfit-italian-hate-speech) on the None dataset. |
| It achieves the following results on the evaluation set: |
| - Loss: 0.6297 |
| - Accuracy: 0.9325 |
| - F1: 0.8831 |
| - Precision: 0.9131 |
| - Recall: 0.8596 |
|
|
| ## 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: 150 |
| - optimizer: Use 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 | F1 | Precision | Recall | |
| |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:---------:|:------:| |
| | 0.4607 | 1.0 | 95 | 0.3423 | 0.9264 | 0.8742 | 0.8965 | 0.8558 | |
| | 0.2351 | 2.0 | 190 | 0.4198 | 0.9325 | 0.8831 | 0.9131 | 0.8596 | |
| | 0.201 | 3.0 | 285 | 0.1992 | 0.9632 | 0.9430 | 0.9247 | 0.9649 | |
| | 0.1004 | 4.0 | 380 | 0.4917 | 0.9202 | 0.8535 | 0.9155 | 0.8150 | |
| | 0.1 | 5.0 | 475 | 0.3548 | 0.9387 | 0.8979 | 0.9086 | 0.8881 | |
| | 0.0438 | 6.0 | 570 | 0.6297 | 0.9325 | 0.8831 | 0.9131 | 0.8596 | |
| |
| |
| ### Framework versions |
| |
| - Transformers 4.57.3 |
| - Pytorch 2.9.1+cu128 |
| - Datasets 4.4.1 |
| - Tokenizers 0.22.1 |
| |
