---
license: afl-3.0
base_model: dlicari/Italian-Legal-BERT
tags:
- generated_from_trainer
model-index:
- name: Italian-Legal-BERT-finetuned-squad-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. -->

# Italian-Legal-BERT-finetuned-squad-it

This model is a fine-tuned version of [dlicari/Italian-Legal-BERT](https://huggingface.co/dlicari/Italian-Legal-BERT) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 2.3122

## 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
- num_epochs: 3

### Training results

| Training Loss | Epoch | Step  | Validation Loss |
|:-------------:|:-----:|:-----:|:---------------:|
| 3.885         | 1.0   | 6101  | 3.7213          |
| 2.7365        | 2.0   | 12202 | 2.4876          |
| 2.4386        | 3.0   | 18303 | 2.3122          |


### Framework versions

- Transformers 4.38.0
- Pytorch 2.2.1+cu121
- Datasets 2.17.1
- Tokenizers 0.15.2