t5-trans-small-de-en
This model is a fine-tuned version of t5-small on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.4924
- Bleu: 14.4652
- Gen Len: 18.0097
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: 64
- eval_batch_size: 64
- 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: 5
Training results
| Training Loss | Epoch | Step | Validation Loss | Bleu | Gen Len |
|---|---|---|---|---|---|
| 1.7332 | 1.0 | 29529 | 1.6164 | 13.2816 | 18.014 |
| 1.639 | 2.0 | 59058 | 1.5468 | 13.9483 | 18.0099 |
| 1.6027 | 3.0 | 88587 | 1.5133 | 14.2666 | 18.0117 |
| 1.5727 | 4.0 | 118116 | 1.4976 | 14.4222 | 18.0111 |
| 1.5718 | 5.0 | 147645 | 1.4924 | 14.4652 | 18.0097 |
Framework versions
- Transformers 4.48.3
- Pytorch 2.6.0+cu124
- Datasets 3.4.0
- Tokenizers 0.21.0