---
license: gpl-3.0
base_model: MilaNLProc/hate-ita-xlm-r-large
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: haspeech_ita
  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. -->

# haspeech_ita

This model is a fine-tuned version of [MilaNLProc/hate-ita-xlm-r-large](https://huggingface.co/MilaNLProc/hate-ita-xlm-r-large) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0250
- F1 Macro: 0.9966
- Accuracy: 0.9973

## 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: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- num_epochs: 3

### Training results

| Training Loss | Epoch | Step | Validation Loss | F1 Macro | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|:--------:|
| 0.4001        | 0.48  | 100  | 0.1722          | 0.9198   | 0.9377   |
| 0.1669        | 0.96  | 200  | 0.0355          | 0.9865   | 0.9892   |
| 0.0824        | 1.44  | 300  | 0.0839          | 0.9864   | 0.9892   |
| 0.0672        | 1.92  | 400  | 0.0277          | 0.9933   | 0.9946   |
| 0.0761        | 2.4   | 500  | 0.0483          | 0.9933   | 0.9946   |
| 0.0413        | 2.88  | 600  | 0.0250          | 0.9966   | 0.9973   |


### Framework versions

- Transformers 4.35.2
- Pytorch 2.0.1
- Datasets 2.15.0
- Tokenizers 0.15.0