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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Model tree for IreneGaeta/mbart-latin-to-italian
Base model
facebook/mbart-large-50