the_develop_model_for_translation_opusbooks
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: 1.3853
- Bleu: 7.7826
- Gen Len: 18.2873
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: 9e-05
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED 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 |
|---|---|---|---|---|---|
| 1.7156 | 1.0 | 6116 | 1.4945 | 6.9097 | 18.3267 |
| 1.6066 | 2.0 | 12232 | 1.4347 | 7.3184 | 18.3117 |
| 1.5549 | 3.0 | 18348 | 1.4061 | 7.6239 | 18.3033 |
| 1.5235 | 4.0 | 24464 | 1.3896 | 7.7362 | 18.2879 |
| 1.5028 | 5.0 | 30580 | 1.3853 | 7.7826 | 18.2873 |
Framework versions
- Transformers 4.57.0
- Pytorch 2.8.0+cu126
- Datasets 4.0.0
- Tokenizers 0.22.1
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Base model
google-t5/t5-small