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model
This model is a fine-tuned version of t5-small on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.1818
- Edit Distance: 13.598
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: 18
- eval_batch_size: 18
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 18
Training results
| Training Loss | Epoch | Step | Validation Loss | Edit Distance |
|---|---|---|---|---|
| 0.7351 | 1.0 | 500 | 0.2832 | 13.844 |
| 0.3224 | 2.0 | 1000 | 0.2401 | 13.85 |
| 0.2788 | 3.0 | 1500 | 0.2285 | 13.795 |
| 0.2595 | 4.0 | 2000 | 0.2179 | 13.805 |
| 0.2469 | 5.0 | 2500 | 0.2066 | 13.687 |
| 0.233 | 6.0 | 3000 | 0.1912 | 13.67 |
| 0.219 | 7.0 | 3500 | 0.1874 | 13.658 |
| 0.2135 | 8.0 | 4000 | 0.1895 | 13.65 |
| 0.2101 | 9.0 | 4500 | 0.1883 | 13.643 |
| 0.2074 | 10.0 | 5000 | 0.1836 | 13.643 |
| 0.2057 | 11.0 | 5500 | 0.1825 | 13.649 |
| 0.2042 | 12.0 | 6000 | 0.1834 | 13.614 |
| 0.2034 | 13.0 | 6500 | 0.1828 | 13.623 |
| 0.2017 | 14.0 | 7000 | 0.1820 | 13.653 |
| 0.2017 | 15.0 | 7500 | 0.1824 | 13.634 |
| 0.2004 | 16.0 | 8000 | 0.1822 | 13.641 |
| 0.2006 | 17.0 | 8500 | 0.1817 | 13.62 |
| 0.2005 | 18.0 | 9000 | 0.1818 | 13.598 |
Framework versions
- Transformers 4.34.0
- Pytorch 2.0.1+cu118
- Datasets 2.14.5
- Tokenizers 0.14.1
