train_hf_new_batch_8_epoch_3
This model is a fine-tuned version of Helsinki-NLP/opus-mt-en-fr on the PaulineSanchez/recipes_translation_400 dataset. It achieves the following results on the evaluation set:
- Loss: 0.7390
- Bleu: 57.269
- Gen Len: 36.1375
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: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3.0
Training results
| Training Loss | Epoch | Step | Validation Loss | Bleu | Gen Len |
|---|---|---|---|---|---|
| No log | 1.0 | 40 | 0.7647 | 56.4458 | 36.4625 |
| No log | 2.0 | 80 | 0.7441 | 55.8074 | 36.4625 |
| No log | 3.0 | 120 | 0.7390 | 57.269 | 36.1375 |
Framework versions
- Transformers 4.31.0.dev0
- Pytorch 2.0.1+cu117
- Datasets 2.12.0
- Tokenizers 0.13.3
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Dataset used to train PaulineSanchez/translation_for_recipes_en_fr
Evaluation results
- Bleu on PaulineSanchez/recipes_translation_400validation set self-reported57.269