opus-mt-en-it-BDS-G1
This model is a fine-tuned version of Helsinki-NLP/opus-mt-en-it on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.0700
- Bleu: 41.888
- Gen Len: 10.0175
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 |
|---|---|---|---|---|---|
| 1.2755 | 1.0 | 625 | 1.0700 | 41.888 | 10.0175 |
Framework versions
- Transformers 4.36.2
- Pytorch 2.1.2+cu121
- Datasets 2.15.0
- Tokenizers 0.15.0
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Base model
Helsinki-NLP/opus-mt-en-it