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opus-mt-en-it-finetuned_20000-en-to-it
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: 0.2520
- Bleu: 74.7902
- Gen Len: 28.3805
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: 1
Training results
| Training Loss | Epoch | Step | Validation Loss | Bleu | Gen Len |
|---|---|---|---|---|---|
| 0.3022 | 1.0 | 1125 | 0.2520 | 74.7902 | 28.3805 |
Framework versions
- Transformers 4.30.2
- Pytorch 2.0.1+cpu
- Datasets 2.13.1
- Tokenizers 0.11.0
