t5-small-finetuned-de-to-en-lr3e-4
This model is a fine-tuned version of t5-small on the wmt16 dataset. It achieves the following results on the evaluation set:
- Loss: 1.9059
- Bleu: 11.9094
- Gen Len: 17.2257
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: 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 | 1.8814 | 10.3468 | 17.2244 |
| 2.2309 | 2.0 | 544 | 1.8320 | 10.9949 | 17.2768 |
| 2.2309 | 3.0 | 816 | 1.8273 | 11.4299 | 17.2147 |
| 1.7515 | 4.0 | 1088 | 1.8321 | 11.5576 | 17.3191 |
| 1.7515 | 5.0 | 1360 | 1.8377 | 11.8255 | 17.2244 |
| 1.488 | 6.0 | 1632 | 1.8562 | 11.6741 | 17.2427 |
| 1.488 | 7.0 | 1904 | 1.8653 | 11.7363 | 17.2331 |
| 1.3301 | 8.0 | 2176 | 1.8938 | 12.0458 | 17.2044 |
| 1.3301 | 9.0 | 2448 | 1.9005 | 11.8676 | 17.2437 |
| 1.2241 | 10.0 | 2720 | 1.9059 | 11.9094 | 17.2257 |
Framework versions
- Transformers 4.12.5
- Pytorch 1.10.0+cu111
- Datasets 1.16.1
- Tokenizers 0.10.3