spell_corrector_mt5_01012024
This model is a fine-tuned version of google/mt5-small on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.6800
- Bleu: 31.1934
- Gen Len: 15.8188
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: 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: 15
Training results
| Training Loss | Epoch | Step | Validation Loss | Bleu | Gen Len |
|---|---|---|---|---|---|
| 13.9865 | 1.0 | 976 | 1.6965 | 15.4349 | 13.1848 |
| 2.8374 | 2.0 | 1952 | 1.2468 | 22.1368 | 15.9172 |
| 2.0333 | 3.0 | 2928 | 1.0291 | 25.1577 | 15.9044 |
| 1.7435 | 4.0 | 3904 | 0.9051 | 26.9628 | 15.9317 |
| 1.5687 | 5.0 | 4880 | 0.8453 | 28.2062 | 15.9029 |
| 1.4484 | 6.0 | 5856 | 0.8009 | 28.855 | 15.8879 |
| 1.3627 | 7.0 | 6832 | 0.7722 | 29.3878 | 15.8645 |
| 1.3183 | 8.0 | 7808 | 0.7467 | 29.6686 | 15.8503 |
| 1.2669 | 9.0 | 8784 | 0.7315 | 30.0695 | 15.8451 |
| 1.2321 | 10.0 | 9760 | 0.7162 | 30.3715 | 15.8328 |
| 1.1928 | 11.0 | 10736 | 0.6997 | 30.7385 | 15.8269 |
| 1.1848 | 12.0 | 11712 | 0.6934 | 30.9314 | 15.8242 |
| 1.1658 | 13.0 | 12688 | 0.6880 | 31.0662 | 15.8238 |
| 1.1476 | 14.0 | 13664 | 0.6826 | 31.1585 | 15.8183 |
| 1.1496 | 15.0 | 14640 | 0.6800 | 31.1934 | 15.8188 |
Framework versions
- Transformers 4.35.2
- Pytorch 2.1.0+cu121
- Datasets 2.16.1
- Tokenizers 0.15.0