| | --- |
| | 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-DualEncoder-LPFT-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-DualEncoder-LPFT-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: 0.0739 |
| | - Accuracy: 0.8773 |
| | - F1: 0.6774 |
| | - Precision: 0.6774 |
| | - Recall: 0.6774 |
| |
|
| | ## 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: 68 |
| | - 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 | |
| | |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:---------:|:------:| |
| | | 0.1788 | 1.0 | 95 | 0.0812 | 0.8834 | 0.6667 | 0.7308 | 0.6129 | |
| | | 0.0527 | 2.0 | 190 | 0.0595 | 0.8896 | 0.7 | 0.7241 | 0.6774 | |
| | | 0.026 | 3.0 | 285 | 0.0712 | 0.8896 | 0.7 | 0.7241 | 0.6774 | |
| | | 0.0406 | 4.0 | 380 | 0.0708 | 0.8834 | 0.6885 | 0.7 | 0.6774 | |
| | | 0.0261 | 5.0 | 475 | 0.0739 | 0.8773 | 0.6774 | 0.6774 | 0.6774 | |
| | |
| | |
| | ### Framework versions |
| | |
| | - Transformers 4.57.3 |
| | - Pytorch 2.9.1+cu128 |
| | - Datasets 4.4.1 |
| | - Tokenizers 0.22.1 |
| | |
