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--- |
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license: afl-3.0 |
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base_model: dlicari/Italian-Legal-BERT |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: Italian-Legal-BERT-finetuned-squad-it |
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results: [] |
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--- |
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You |
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should probably proofread and complete it, then remove this comment. --> |
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# Italian-Legal-BERT-finetuned-squad-it |
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This model is a fine-tuned version of [dlicari/Italian-Legal-BERT](https://huggingface.co/dlicari/Italian-Legal-BERT) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 2.3122 |
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## Model description |
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More information needed |
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## Intended uses & limitations |
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More information needed |
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## Training and evaluation data |
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More information needed |
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## Training procedure |
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### Training hyperparameters |
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The following hyperparameters were used during training: |
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- learning_rate: 2e-05 |
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- train_batch_size: 16 |
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- eval_batch_size: 16 |
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- seed: 42 |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: linear |
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- num_epochs: 3 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:-----:|:-----:|:---------------:| |
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| 3.885 | 1.0 | 6101 | 3.7213 | |
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| 2.7365 | 2.0 | 12202 | 2.4876 | |
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| 2.4386 | 3.0 | 18303 | 2.3122 | |
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### Framework versions |
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- Transformers 4.38.0 |
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- Pytorch 2.2.1+cu121 |
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- Datasets 2.17.1 |
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- Tokenizers 0.15.2 |
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