mt5-small-spelling_aws2
This model is a fine-tuned version of google/mt5-small on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.5676
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: 0.0001
- train_batch_size: 10
- eval_batch_size: 10
- seed: 42
- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 3
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.913 | 1.0 | 8000 | 0.6403 |
| 0.7684 | 2.0 | 16000 | 0.5861 |
| 0.7369 | 3.0 | 24000 | 0.5676 |
Framework versions
- Transformers 4.48.1
- Pytorch 2.0.1+cu118
- Datasets 3.2.0
- Tokenizers 0.21.0