my_awesome_opus_books_model
This model is a fine-tuned version of Helsinki-NLP/opus-mt-en-fr on the opus_books dataset. It achieves the following results on the evaluation set:
- Loss: 0.4232
- Bleu: 25.6283
- Gen Len: 33.8077
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: 32
- eval_batch_size: 32
- seed: 42
- optimizer: Adam with betas=(0.9,0.98) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 2
Training results
| Training Loss | Epoch | Step | Validation Loss | Bleu | Gen Len |
|---|---|---|---|---|---|
| 0.4627 | 1.0 | 2542 | 0.4327 | 25.2902 | 33.8224 |
| 0.4294 | 2.0 | 5084 | 0.4232 | 25.6283 | 33.8077 |
Framework versions
- Transformers 4.31.0
- Pytorch 2.0.1+cu118
- Datasets 2.14.4
- Tokenizers 0.13.3