---
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-MainStage-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-MainStage-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: 0.3345
- Accuracy: 0.9141
- F1: 0.7407
- Precision: 0.8696
- Recall: 0.6452

## 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 |
|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:---------:|:------:|
| 0.7188        | 1.0   | 95   | 0.5881          | 0.8405   | 0.4091 | 0.6923    | 0.2903 |
| 0.5805        | 2.0   | 190  | 0.4346          | 0.8896   | 0.6667 | 0.7826    | 0.5806 |
| 0.4433        | 3.0   | 285  | 0.3493          | 0.9141   | 0.7586 | 0.8148    | 0.7097 |
| 0.3152        | 4.0   | 380  | 0.3066          | 0.9202   | 0.7797 | 0.8214    | 0.7419 |
| 0.2758        | 5.0   | 475  | 0.3260          | 0.9080   | 0.7170 | 0.8636    | 0.6129 |
| 0.2529        | 6.0   | 570  | 0.3228          | 0.9080   | 0.7273 | 0.8333    | 0.6452 |
| 0.157         | 7.0   | 665  | 0.3345          | 0.9141   | 0.7407 | 0.8696    | 0.6452 |


### Framework versions

- Transformers 4.57.3
- Pytorch 2.9.1+cu128
- Datasets 4.4.1
- Tokenizers 0.22.1