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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
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