Italian-Legal-BERT-finetuned-squad-it
This model is a fine-tuned version of 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
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Model tree for Decre99/Italian-Legal-BERT-finetuned-squad-it
Base model
dlicari/Italian-Legal-BERT