t5-small-finetuned-en-to-regex
This model is a fine-tuned version of rymaju/t5-small-finetuned-en-to-regex on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.0032
- Bleu: 12.1984
- Gen Len: 16.7502
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: 16
- eval_batch_size: 16
- 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 |
|---|---|---|---|---|---|
| 0.0092 | 1.0 | 6188 | 0.0043 | 12.1984 | 16.7522 |
| 0.0069 | 2.0 | 12376 | 0.0040 | 12.2039 | 16.7502 |
| 0.0056 | 3.0 | 18564 | 0.0034 | 12.2091 | 16.7483 |
| 0.0048 | 4.0 | 24752 | 0.0035 | 12.2103 | 16.7502 |
| 0.0049 | 5.0 | 30940 | 0.0035 | 12.1984 | 16.7502 |
| 0.0046 | 6.0 | 37128 | 0.0033 | 12.1984 | 16.7502 |
| 0.0046 | 7.0 | 43316 | 0.0035 | 12.1984 | 16.7502 |
| 0.0046 | 8.0 | 49504 | 0.0032 | 12.1984 | 16.7502 |
| 0.0042 | 9.0 | 55692 | 0.0032 | 12.1984 | 16.7502 |
| 0.0043 | 10.0 | 61880 | 0.0032 | 12.1984 | 16.7502 |
Framework versions
- Transformers 4.24.0
- Pytorch 1.12.1+cu113
- Datasets 2.6.1
- Tokenizers 0.13.1