mbart-latin-to-italian

This model is a fine-tuned version of facebook/mbart-large-50 on the Latino-italiano traduzioni dirette dataset. It achieves the following results on the evaluation set:

  • Loss: 2.8924
  • Bleu: 5.0678
  • Gen Len: 101.961

Model description

This model intends to translate from Latin quotes to Italian.

Intended uses & limitations

This model has been created as an in-class exercice, so its coverage might be limited.

Training and evaluation data

More information needed

Training procedure

Training hyperparameters

The following hyperparameters were used during training:

  • learning_rate: 5.6e-05
  • train_batch_size: 8
  • eval_batch_size: 8
  • seed: 42
  • optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
  • lr_scheduler_type: linear
  • num_epochs: 2

Training results

Training Loss Epoch Step Validation Loss Bleu Gen Len
No log 1.0 92 3.1007 3.5723 103.6976
No log 2.0 184 2.8924 5.0678 101.961

Framework versions

  • Transformers 4.49.0
  • Pytorch 2.5.1+cu124
  • Datasets 3.3.2
  • Tokenizers 0.21.0
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