mt5-large-commas-8b-20e-500k_unfiltered
This model is a fine-tuned version of google/mt5-large on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.0219
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: 8
- eval_batch_size: 8
- 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: 20
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.0128 | 1.0 | 56250 | 0.0087 |
| 0.0097 | 2.0 | 112500 | 0.0081 |
| 0.007 | 3.0 | 168750 | 0.0085 |
| 0.0068 | 4.0 | 225000 | 0.0084 |
| 0.006 | 5.0 | 281250 | 0.0086 |
| 0.0046 | 6.0 | 337500 | 0.0096 |
| 0.0038 | 7.0 | 393750 | 0.0105 |
| 0.0038 | 8.0 | 450000 | 0.0108 |
| 0.0029 | 9.0 | 506250 | 0.0122 |
| 0.0026 | 10.0 | 562500 | 0.0131 |
| 0.0022 | 11.0 | 618750 | 0.0138 |
| 0.0015 | 12.0 | 675000 | 0.0151 |
| 0.0017 | 13.0 | 731250 | 0.0159 |
| 0.0012 | 14.0 | 787500 | 0.0175 |
| 0.001 | 15.0 | 843750 | 0.0179 |
| 0.0008 | 16.0 | 900000 | 0.0185 |
| 0.0006 | 17.0 | 956250 | 0.0210 |
| 0.0006 | 18.0 | 1012500 | 0.0214 |
| 0.0006 | 19.0 | 1068750 | 0.0216 |
| 0.0005 | 20.0 | 1125000 | 0.0219 |
Framework versions
- Transformers 4.48.0
- Pytorch 2.5.1+cu124
- Datasets 3.2.0
- Tokenizers 0.21.0