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t5-mt-en-fr
This model is a fine-tuned version of t5-small on the opus_books dataset. It achieves the following results on the evaluation set:
- Loss: 1.4927
- Bleu: 6.3847
- Gen Len: 17.5615
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: 5
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Bleu | Gen Len |
|---|---|---|---|---|---|
| 1.7324 | 1.0 | 6355 | 1.5504 | 6.013 | 17.5801 |
| 1.7308 | 2.0 | 12710 | 1.5209 | 6.2068 | 17.5694 |
| 1.6891 | 3.0 | 19065 | 1.5039 | 6.2946 | 17.5627 |
| 1.6755 | 4.0 | 25420 | 1.4950 | 6.3487 | 17.5619 |
| 1.6828 | 5.0 | 31775 | 1.4927 | 6.3847 | 17.5615 |
Framework versions
- Transformers 4.28.1
- Pytorch 2.0.0+cu118
- Datasets 2.12.0
- Tokenizers 0.13.3
