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t5-small-finetuned-de-to-en-swd
This model is a fine-tuned version of t5-small on the wmt16 dataset. It achieves the following results on the evaluation set:
- Loss: 1.9422
- Bleu: 9.2293
- Gen Len: 17.3454
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
Training results
| Training Loss | Epoch | Step | Validation Loss | Bleu | Gen Len |
|---|---|---|---|---|---|
| No log | 1.0 | 272 | 2.1658 | 3.8987 | 17.6419 |
| 2.6679 | 2.0 | 544 | 2.0659 | 6.4465 | 17.4758 |
| 2.6679 | 3.0 | 816 | 2.0210 | 7.3632 | 17.3708 |
| 2.4322 | 4.0 | 1088 | 1.9929 | 8.1559 | 17.3721 |
| 2.4322 | 5.0 | 1360 | 1.9744 | 8.6269 | 17.3518 |
| 2.3315 | 6.0 | 1632 | 1.9607 | 8.9017 | 17.3741 |
| 2.3315 | 7.0 | 1904 | 1.9515 | 9.1157 | 17.3484 |
| 2.2955 | 8.0 | 2176 | 1.9471 | 9.1308 | 17.3488 |
| 2.2955 | 9.0 | 2448 | 1.9432 | 9.2239 | 17.3414 |
| 2.2676 | 10.0 | 2720 | 1.9422 | 9.2293 | 17.3454 |
Framework versions
- Transformers 4.12.5
- Pytorch 1.10.0+cu111
- Datasets 1.16.1
- Tokenizers 0.10.3
