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mt5-small-km-phoneme
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: 0.5647
- Rouge1: 86.1261
- Rouge2: 75.069
- Rougel: 85.8365
- Rougelsum: 85.8199
- Gen Len: 9.4504
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: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|---|---|---|---|---|---|---|---|---|
| 1.0708 | 1.0 | 2514 | 0.7873 | 81.0997 | 66.3068 | 80.6177 | 80.6219 | 9.3808 |
| 0.8576 | 2.0 | 5028 | 0.6091 | 85.158 | 73.3987 | 84.8532 | 84.8374 | 9.4117 |
| 0.813 | 3.0 | 7542 | 0.5647 | 86.1261 | 75.069 | 85.8365 | 85.8199 | 9.4504 |
Framework versions
- Transformers 4.28.1
- Pytorch 2.0.0+cu117
- Datasets 2.11.0
- Tokenizers 0.13.3
