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: 0.0008
- 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: 150
- eval_batch_size: 150
- 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: 15
Training results
| Training Loss | Epoch | Step | Validation Loss | Mean Distance | Max Distance |
|---|---|---|---|---|---|
| 0.0004 | 1.0 | 3059 | 0.0022 | 0 | 12 |
| 0.0003 | 2.0 | 6118 | 0.0011 | 0 | 5 |
| 0.0003 | 3.0 | 9177 | 0.0010 | 0 | 6 |
| 0.0003 | 4.0 | 12236 | 0.0012 | 0 | 3 |
| 0.0003 | 5.0 | 15295 | 0.0008 | 0 | 3 |
| 0.0002 | 6.0 | 18354 | 0.0009 | 0 | 3 |
| 0.0002 | 7.0 | 21413 | 0.0008 | 0 | 3 |
| 0.0002 | 8.0 | 24472 | 0.0008 | 0 | 3 |
| 0.0002 | 9.0 | 27531 | 0.0007 | 0 | 3 |
| 0.0002 | 10.0 | 30590 | 0.0008 | 0 | 3 |
| 0.0002 | 11.0 | 33649 | 0.0008 | 0 | 3 |
| 0.0002 | 12.0 | 36708 | 0.0008 | 0 | 3 |
| 0.0002 | 13.0 | 39767 | 0.0008 | 0 | 3 |
| 0.0002 | 14.0 | 42826 | 0.0008 | 0 | 3 |
| 0.0002 | 15.0 | 45885 | 0.0008 | 0 | 3 |
Framework versions
- Transformers 4.37.2
- Pytorch 2.1.0+cu121
- Datasets 2.16.1
- Tokenizers 0.15.1