metadata
license: mit
base_model: alexue4/text-normalization-ru-new
tags:
- generated_from_trainer
model-index:
- name: text-normalization-ru-new
results: []
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: 0.0114
- 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: 14
Training results
| Training Loss | Epoch | Step | Validation Loss | Max Distance | Mean Distance |
|---|---|---|---|---|---|
| 0.0017 | 1.0 | 23077 | 0.0089 | 1 | 0 |
| 0.0019 | 2.0 | 46154 | 0.0084 | 3 | 0 |
| 0.002 | 3.0 | 69231 | 0.0087 | 1 | 0 |
| 0.0021 | 4.0 | 92308 | 0.0120 | 4 | 0 |
| 0.0019 | 5.0 | 115385 | 0.0100 | 4 | 0 |
| 0.0018 | 6.0 | 138462 | 0.0111 | 3 | 0 |
| 0.0017 | 7.0 | 161539 | 0.0070 | 3 | 0 |
| 0.0017 | 8.0 | 184616 | 0.0142 | 4 | 0 |
| 0.0014 | 9.0 | 207693 | 0.0118 | 4 | 0 |
| 0.0014 | 10.0 | 230770 | 0.0115 | 3 | 0 |
| 0.0013 | 11.0 | 253847 | 0.0113 | 3 | 0 |
| 0.0012 | 12.0 | 276924 | 0.0120 | 3 | 0 |
| 0.0012 | 13.0 | 300001 | 0.0132 | 3 | 0 |
| 0.001 | 14.0 | 323078 | 0.0114 | 0 | 3 |
Framework versions
- Transformers 4.32.1
- Pytorch 2.0.1+cu117
- Datasets 2.14.4
- Tokenizers 0.13.3