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t5-small-finetuned-de-to-en-fp16
This model is a fine-tuned version of t5-small on the wmt16 dataset. It achieves the following results on the evaluation set:
- Loss: 1.9416
- Bleu: 9.2226
- Gen Len: 17.3311
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: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Bleu | Gen Len |
|---|---|---|---|---|---|
| No log | 1.0 | 272 | 2.1671 | 3.8489 | 17.6382 |
| 2.6715 | 2.0 | 544 | 2.0660 | 6.4354 | 17.4905 |
| 2.6715 | 3.0 | 816 | 2.0206 | 7.4092 | 17.3708 |
| 2.4325 | 4.0 | 1088 | 1.9926 | 8.1453 | 17.3685 |
| 2.4325 | 5.0 | 1360 | 1.9739 | 8.6739 | 17.3521 |
| 2.3312 | 6.0 | 1632 | 1.9602 | 8.8808 | 17.3681 |
| 2.3312 | 7.0 | 1904 | 1.9509 | 9.1173 | 17.3491 |
| 2.2946 | 8.0 | 2176 | 1.9465 | 9.1504 | 17.3414 |
| 2.2946 | 9.0 | 2448 | 1.9426 | 9.2372 | 17.3398 |
| 2.2665 | 10.0 | 2720 | 1.9416 | 9.2226 | 17.3311 |
Framework versions
- Transformers 4.12.5
- Pytorch 1.10.0+cu111
- Datasets 1.16.1
- Tokenizers 0.10.3
