t5-small-finetuned-de-to-en-lr1e-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: 1.8228
- Bleu: 11.427
- Gen Len: 17.2674
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: 0.0001
- 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 | 1.9605 | 9.0786 | 17.3148 |
| 2.3992 | 2.0 | 544 | 1.8884 | 10.1443 | 17.3301 |
| 2.3992 | 3.0 | 816 | 1.8647 | 10.4816 | 17.3258 |
| 2.0832 | 4.0 | 1088 | 1.8473 | 10.7396 | 17.3231 |
| 2.0832 | 5.0 | 1360 | 1.8343 | 11.0937 | 17.2621 |
| 1.9193 | 6.0 | 1632 | 1.8282 | 11.1303 | 17.3098 |
| 1.9193 | 7.0 | 1904 | 1.8234 | 11.2971 | 17.2991 |
| 1.8351 | 8.0 | 2176 | 1.8241 | 11.3433 | 17.2621 |
| 1.8351 | 9.0 | 2448 | 1.8224 | 11.394 | 17.2691 |
| 1.7747 | 10.0 | 2720 | 1.8228 | 11.427 | 17.2674 |
Framework versions
- Transformers 4.12.5
- Pytorch 1.10.0+cu111
- Datasets 1.16.1
- Tokenizers 0.10.3