mt5-finetuned-tamil
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: 1.9080
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: Use OptimizerNames.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: 5
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 35.3578 | 1.0 | 731 | 17.8124 |
| 18.5688 | 2.0 | 1462 | 6.9052 |
| 6.5405 | 3.0 | 2193 | 2.9031 |
| 4.2418 | 4.0 | 2924 | 2.1326 |
| 2.8577 | 5.0 | 3655 | 1.9080 |
Framework versions
- Transformers 4.48.3
- Pytorch 2.5.1+cu124
- Datasets 3.3.1
- Tokenizers 0.21.0
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Model tree for BanusreeM/mt5-finetuned-tamil
Base model
google/mt5-small