mt5-finetuned-id-mdo-epoch10
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: 3.7640
Model description
More information needed
Intended uses & limitations
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Training and evaluation data
More information needed
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 0.0003
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 10
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 9.5264 | 1.0 | 516 | 5.3834 |
| 5.135 | 2.0 | 1032 | 4.8912 |
| 4.6651 | 3.0 | 1548 | 4.5842 |
| 4.3777 | 4.0 | 2064 | 4.4142 |
| 4.0945 | 5.0 | 2580 | 4.2503 |
| 3.8803 | 6.0 | 3096 | 4.0569 |
| 3.7105 | 7.0 | 3612 | 3.9247 |
| 3.504 | 8.0 | 4128 | 3.8255 |
| 3.3765 | 9.0 | 4644 | 3.7815 |
| 3.2834 | 10.0 | 5160 | 3.7640 |
Framework versions
- Transformers 4.56.2
- Pytorch 2.8.0+cu126
- Datasets 4.0.0
- Tokenizers 0.22.1
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Base model
google/mt5-small