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: 0.0480
- Mean Distance: 0
- Max Distance: 40
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: 10
Training results
| Training Loss | Epoch | Step | Validation Loss | Mean Distance | Max Distance |
|---|---|---|---|---|---|
| 0.0163 | 1.0 | 23701 | 0.0428 | 0 | 43 |
| 0.0132 | 2.0 | 47402 | 0.0420 | 0 | 44 |
| 0.0111 | 3.0 | 71103 | 0.0444 | 0 | 35 |
| 0.0095 | 4.0 | 94804 | 0.0449 | 0 | 43 |
| 0.0088 | 5.0 | 118505 | 0.0446 | 0 | 40 |
| 0.0076 | 6.0 | 142206 | 0.0462 | 0 | 33 |
| 0.0074 | 7.0 | 165907 | 0.0466 | 0 | 38 |
| 0.0068 | 8.0 | 189608 | 0.0478 | 0 | 39 |
| 0.0069 | 9.0 | 213309 | 0.0489 | 0 | 39 |
| 0.0061 | 10.0 | 237010 | 0.0480 | 0 | 40 |
Framework versions
- Transformers 4.32.1
- Pytorch 2.0.1+cu117
- Datasets 2.14.4
- Tokenizers 0.13.3