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: 0.0279
- Mean Distance: 0
- Max Distance: 8
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: 5
Training results
| Training Loss | Epoch | Step | Validation Loss | Mean Distance | Max Distance |
|---|---|---|---|---|---|
| 0.0024 | 1.0 | 22994 | 0.0264 | 0 | 8 |
| 0.0022 | 2.0 | 45988 | 0.0259 | 0 | 8 |
| 0.0019 | 3.0 | 68982 | 0.0292 | 0 | 8 |
| 0.0016 | 4.0 | 91976 | 0.0281 | 0 | 8 |
| 0.0016 | 5.0 | 114970 | 0.0279 | 0 | 8 |
Framework versions
- Transformers 4.32.1
- Pytorch 2.0.1+cu117
- Datasets 2.14.4
- Tokenizers 0.13.3