my_awesome_opus_books_model
This model is a fine-tuned version of Helsinki-NLP/opus-mt-en-it on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 2.0349
- Bleu: 16.7195
- Gen Len: 34.2193
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: Use 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
- mixed_precision_training: Native AMP
Training results
Training Loss | Epoch | Step | Validation Loss | Bleu | Gen Len |
---|---|---|---|---|---|
2.178 | 1.0 | 1617 | 2.0634 | 16.4242 | 34.2766 |
2.031 | 2.0 | 3234 | 2.0349 | 16.7195 | 34.2193 |
Framework versions
- Transformers 4.46.3
- Pytorch 2.5.1+cu121
- Datasets 3.1.0
- Tokenizers 0.20.3
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Base model
Helsinki-NLP/opus-mt-en-it