mt5_small-silver-standard
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: 1.8186
- Rouge1: 40.1547
- Rouge2: 24.0628
- Rougel: 39.3024
- Rougelsum: 39.3187
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: 0.001
- train_batch_size: 2
- eval_batch_size: 2
- seed: 42
- gradient_accumulation_steps: 8
- total_train_batch_size: 16
- optimizer: Use OptimizerNames.ADAFACTOR and the args are: No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 3
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum |
|---|---|---|---|---|---|---|---|
| 46.6304 | 1.0 | 149 | 2.0517 | 37.9176 | 21.1641 | 36.8285 | 36.8149 |
| 33.1907 | 2.0 | 298 | 1.8386 | 39.7895 | 22.9418 | 38.7679 | 38.7899 |
| 27.6431 | 3.0 | 447 | 1.8186 | 40.1547 | 24.0628 | 39.3024 | 39.3187 |
Framework versions
- Transformers 5.0.0
- Pytorch 2.10.0+cu128
- Datasets 4.8.3
- Tokenizers 0.22.2
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google/mt5-small