results
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: 6.0852
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: 5e-05
- train_batch_size: 8
- eval_batch_size: 8
- 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: 6
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| No log | 1.0 | 113 | 23.8969 |
| No log | 2.0 | 226 | 14.0249 |
| No log | 3.0 | 339 | 9.9934 |
| No log | 4.0 | 452 | 7.4538 |
| 23.7202 | 5.0 | 565 | 6.4669 |
| 23.7202 | 6.0 | 678 | 6.0852 |
Framework versions
- Transformers 4.48.3
- Pytorch 2.6.0+cpu
- Datasets 3.3.0
- Tokenizers 0.21.0
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Base model
google/mt5-small