t5-small-translation
This model is a fine-tuned version of google-t5/t5-small on the covost2 dataset. It achieves the following results on the evaluation set:
- Loss: 4.0560
- Bleu: 0.0589
- Gen Len: 19.9998
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: 1e-05
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 4
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Bleu | Gen Len |
|---|---|---|---|---|---|
| 4.5402 | 1.0 | 746 | 4.1397 | 0.0508 | 20.0 |
| 4.3697 | 2.0 | 1492 | 4.0848 | 0.0582 | 19.9859 |
| 4.2755 | 3.0 | 2238 | 4.0627 | 0.059 | 19.998 |
| 4.2785 | 4.0 | 2984 | 4.0560 | 0.0589 | 19.9998 |
Framework versions
- Transformers 4.51.2
- Pytorch 2.6.0+cu124
- Datasets 3.1.0
- Tokenizers 0.21.1
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Model tree for JohnLei/t5-small-translation
Base model
google-t5/t5-smallDataset used to train JohnLei/t5-small-translation
Evaluation results
- Bleu on covost2test set self-reported0.059