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train_hf_new_fren_batch_12_epoch_4
This model is a fine-tuned version of Helsinki-NLP/opus-mt-fr-en on the PaulineSanchez/recipes_translation_400 dataset. It achieves the following results on the evaluation set:
- Loss: 0.7762
- Bleu: 59.7829
- Gen Len: 29.475
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: 5e-05
- train_batch_size: 12
- eval_batch_size: 12
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 4.0
Training results
| Training Loss | Epoch | Step | Validation Loss | Bleu | Gen Len |
|---|---|---|---|---|---|
| No log | 1.0 | 27 | 0.8249 | 57.2256 | 29.225 |
| No log | 2.0 | 54 | 0.7964 | 58.125 | 28.95 |
| No log | 3.0 | 81 | 0.7786 | 59.3353 | 29.35 |
| No log | 4.0 | 108 | 0.7762 | 59.7829 | 29.475 |
Framework versions
- Transformers 4.31.0.dev0
- Pytorch 2.0.1+cu117
- Datasets 2.12.0
- Tokenizers 0.13.3
