my-finetuned-translation-model
This model is a fine-tuned version of google-t5/t5-small on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 2.6803
- Bleu: 4.6078
- Gen Len: 22.7926
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: 0.0003
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Use OptimizerNames.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: 2
Training results
| Training Loss | Epoch | Step | Validation Loss | Bleu | Gen Len |
|---|---|---|---|---|---|
| 2.9394 | 1.0 | 43814 | 2.7388 | 4.3449 | 22.7287 |
| 2.8682 | 2.0 | 87628 | 2.6803 | 4.6078 | 22.7926 |
Framework versions
- Transformers 5.3.0
- Pytorch 2.5.1
- Datasets 4.8.2
- Tokenizers 0.22.2
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Base model
google-t5/t5-small