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Italian-Legal-BERT-finetuned-squad-it

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metadata
license: afl-3.0
base_model: dlicari/Italian-Legal-BERT
tags:
  - generated_from_trainer
model-index:
  - name: Italian-Legal-BERT-finetuned-squad-it
    results: []

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