GEC-T5-small
This model is a fine-tuned version of t5-small on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.6816
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: 4
- eval_batch_size: 4
- 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 |
|---|---|---|---|
| No log | 1.0 | 325 | 1.8041 |
| 1.908 | 2.0 | 650 | 1.7697 |
| 1.908 | 3.0 | 975 | 1.7359 |
| 1.8218 | 4.0 | 1300 | 1.7228 |
| 1.7942 | 5.0 | 1625 | 1.7061 |
| 1.7942 | 6.0 | 1950 | 1.6981 |
| 1.7497 | 7.0 | 2275 | 1.6910 |
| 1.7379 | 8.0 | 2600 | 1.6848 |
| 1.7379 | 9.0 | 2925 | 1.6828 |
| 1.7165 | 10.0 | 3250 | 1.6816 |
Framework versions
- Transformers 4.37.2
- Pytorch 2.1.0+cu121
- Datasets 2.16.1
- Tokenizers 0.15.1
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Model tree for danangwijaya/GEC-T5-small
Base model
google-t5/t5-small