Redex-t5-small-finetuned-en-to-regex
This model is a fine-tuned version of t5-small on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.0813
- Semantic-accuracy: 0.916
- Gen Len: 10.476
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: 0.001
- 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
- training_steps: 10000
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Semantic-accuracy | Gen Len |
|---|---|---|---|---|---|
| 0.2376 | 1.0 | 563 | 0.0826 | 0.918 | 10.478 |
| 0.0817 | 2.0 | 1126 | 0.0691 | 0.92 | 10.506 |
| 0.0693 | 3.0 | 1689 | 0.0703 | 0.916 | 10.442 |
| 0.0625 | 4.0 | 2252 | 0.0720 | 0.916 | 10.506 |
| 0.0577 | 5.0 | 2815 | 0.0697 | 0.922 | 10.486 |
| 0.0544 | 6.0 | 3378 | 0.0711 | 0.908 | 10.458 |
| 0.0514 | 7.0 | 3941 | 0.0745 | 0.924 | 10.5 |
| 0.0481 | 8.0 | 4504 | 0.0765 | 0.91 | 10.462 |
| 0.0467 | 9.0 | 5067 | 0.0758 | 0.916 | 10.456 |
| 0.0451 | 10.0 | 5630 | 0.0741 | 0.924 | 10.48 |
| 0.0428 | 11.0 | 6193 | 0.0769 | 0.914 | 10.496 |
| 0.0432 | 12.0 | 6756 | 0.0779 | 0.912 | 10.446 |
| 0.0423 | 13.0 | 7319 | 0.0799 | 0.918 | 10.502 |
| 0.042 | 14.0 | 7882 | 0.0801 | 0.914 | 10.494 |
| 0.0405 | 15.0 | 8445 | 0.0769 | 0.914 | 10.476 |
| 0.0387 | 16.0 | 9008 | 0.0793 | 0.916 | 10.476 |
| 0.0383 | 17.0 | 9571 | 0.0818 | 0.916 | 10.474 |
| 0.0376 | 17.76 | 10000 | 0.0813 | 0.916 | 10.476 |
Framework versions
- Transformers 4.25.1
- Pytorch 1.12.1+cu113
- Datasets 2.7.1
- Tokenizers 0.13.2