t5-small-translation_v3
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: 4.0331
- Bleu: 0.1366
- Gen Len: 20.0
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: 5
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Bleu | Gen Len |
|---|---|---|---|---|---|
| 4.539 | 1.0 | 746 | 4.1366 | 0.0502 | 20.0 |
| 4.3657 | 2.0 | 1492 | 4.0781 | 0.0826 | 19.9982 |
| 4.2651 | 3.0 | 2238 | 4.0510 | 0.0589 | 19.9998 |
| 4.2638 | 4.0 | 2984 | 4.0376 | 0.1365 | 20.0 |
| 4.227 | 5.0 | 3730 | 4.0331 | 0.1366 | 20.0 |
Framework versions
- Transformers 4.51.2
- Pytorch 2.6.0+cu124
- Datasets 3.1.0
- Tokenizers 0.21.1
- Downloads last month
- 8
Inference Providers NEW
This model isn't deployed by any Inference Provider. 🙋 Ask for provider support
Model tree for JohnLei/t5-small-translation_v3
Base model
google-t5/t5-smallDataset used to train JohnLei/t5-small-translation_v3
Evaluation results
- Bleu on covost2test set self-reported0.137