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text-normalization-ru-new
This model is a fine-tuned version of alexue4/text-normalization-ru-new on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.0170
- Mean Distance: 0
- Max Distance: 3
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: 0.0001
- train_batch_size: 15
- eval_batch_size: 15
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 20
Training results
| Training Loss | Epoch | Step | Validation Loss | Mean Distance | Max Distance |
|---|---|---|---|---|---|
| 0.0004 | 1.0 | 13982 | 0.0145 | 0 | 4 |
| 0.0005 | 2.0 | 27964 | 0.0164 | 0 | 4 |
| 0.0005 | 3.0 | 41946 | 0.0167 | 0 | 3 |
| 0.0005 | 4.0 | 55928 | 0.0125 | 0 | 3 |
| 0.0005 | 5.0 | 69910 | 0.0185 | 0 | 3 |
| 0.0005 | 6.0 | 83892 | 0.0173 | 0 | 3 |
| 0.0005 | 7.0 | 97874 | 0.0168 | 0 | 5 |
| 0.0004 | 8.0 | 111856 | 0.0201 | 0 | 5 |
| 0.0004 | 9.0 | 125838 | 0.0215 | 0 | 2 |
| 0.0004 | 10.0 | 139820 | 0.0226 | 0 | 3 |
| 0.0004 | 11.0 | 153802 | 0.0199 | 0 | 3 |
| 0.0003 | 12.0 | 167784 | 0.0184 | 0 | 3 |
| 0.0004 | 13.0 | 181766 | 0.0196 | 0 | 3 |
| 0.0003 | 14.0 | 195748 | 0.0167 | 0 | 1 |
| 0.0003 | 15.0 | 209730 | 0.0177 | 0 | 3 |
| 0.0003 | 16.0 | 223712 | 0.0173 | 0 | 3 |
| 0.0003 | 17.0 | 237694 | 0.0173 | 0 | 3 |
| 0.0003 | 18.0 | 251676 | 0.0169 | 0 | 3 |
| 0.0003 | 19.0 | 265658 | 0.0167 | 0 | 3 |
| 0.0003 | 20.0 | 279640 | 0.0170 | 0 | 3 |
Framework versions
- Transformers 4.32.1
- Pytorch 2.0.1+cu117
- Datasets 2.14.4
- Tokenizers 0.13.3
