|
--- |
|
license: apache-2.0 |
|
tags: |
|
- generated_from_trainer |
|
metrics: |
|
- accuracy |
|
- f1 |
|
model-index: |
|
- name: turkic-cyrillic-classifier |
|
results: [] |
|
language: |
|
- ba |
|
- cv |
|
- sah |
|
- tt |
|
- ky |
|
- kk |
|
- tyv |
|
- krc |
|
- ru |
|
datasets: |
|
- tatiana-merz/cyrillic_turkic_langs |
|
pipeline_tag: text-classification |
|
widget: |
|
- text: "Кыра тыгын" |
|
--- |
|
|
|
<!-- This model card has been generated automatically according to the information the Trainer had access to. You |
|
should probably proofread and complete it, then remove this comment. --> |
|
|
|
# turkic-cyrillic-classifier |
|
|
|
This model is a fine-tuned version of [bert-base-multilingual-cased](https://huggingface.co/bert-base-multilingual-cased) on an tatiana-merz/cyrillic_turkic_langs dataset. |
|
It achieves the following results on the evaluation set: |
|
|
|
``` |
|
{'test_loss': 0.013604652136564255, |
|
'test_accuracy': 0.997, |
|
'test_f1': 0.9969996069718668, |
|
'test_runtime': 60.5479, |
|
'test_samples_per_second': 148.643, |
|
'test_steps_per_second': 2.329} |
|
``` |
|
|
|
## Model description |
|
|
|
The model classifies text based on a provided Turkic language written in Cyrillic script. |
|
|
|
## Languages |
|
- bak - Bashkir |
|
- chv - Chuvash |
|
- sah - Sakha |
|
- tat - Tatar |
|
- kir - Kyrgyz |
|
- kaz - Kazakh |
|
- tyv - Tuvinian |
|
- krc - Karachay-Balkar |
|
- rus - Russian |
|
|
|
|
|
## Intended uses & limitations |
|
|
|
|
|
|
|
## Training and evaluation data |
|
|
|
[cyrillic_turkic_langs](https://huggingface.co/datasets/tatiana-merz/cyrillic_turkic_langs/) |
|
|
|
|
|
## Training procedure |
|
|
|
### Training hyperparameters |
|
|
|
The following hyperparameters were used during training: |
|
- learning_rate: 2e-05 |
|
- train_batch_size: 64 |
|
- eval_batch_size: 64 |
|
- seed: 42 |
|
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
|
- lr_scheduler_type: linear |
|
- num_epochs: 2 |
|
|
|
### Training results |
|
|
|
| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 | |
|
|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:| |
|
| 0.1063 | 1.0 | 1000 | 0.0204 | 0.9950 | 0.9950 | |
|
| 0.0126 | 2.0 | 2000 | 0.0136 | 0.9970 | 0.9970 | |
|
|
|
|
|
### Framework versions |
|
|
|
- Transformers 4.27.0 |
|
- Pytorch 1.13.1+cu116 |
|
- Datasets 2.10.1 |
