---
language:
- uz
license: apache-2.0
base_model: openai/whisper-tiny
tags:
- automatic-speech-recognition
- generated_from_trainer
metrics:
- wer
model-index:
- name: Whisper Tiny Uzbek
  results: []
datasets:
- mozilla-foundation/common_voice_13_0
pipeline_tag: automatic-speech-recognition
---

<!-- 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. -->

# Whisper Tiny Uzbek

This model is a fine-tuned version of [openai/whisper-tiny](https://huggingface.co/openai/whisper-tiny) on the mozilla-foundation/common_voice_13_0 dataset.
It achieves the following results on the evaluation set:
- Loss: 0.3775
- Wer Ortho: 56.3536
- Wer: 45.8937

## 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: 1e-05
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: constant_with_warmup
- lr_scheduler_warmup_steps: 50
- num_epochs: 1

### Training results

| Training Loss | Epoch | Step | Validation Loss | Wer Ortho | Wer     |
|:-------------:|:-----:|:----:|:---------------:|:---------:|:-------:|
| 0.6542        | 0.13  | 500  | 0.6243          | 76.5585   | 67.7862 |
| 0.5377        | 0.27  | 1000 | 0.5227          | 68.8556   | 60.2594 |
| 0.4573        | 0.4   | 1500 | 0.4727          | 66.7551   | 56.0715 |
| 0.4353        | 0.53  | 2000 | 0.4380          | 62.1211   | 52.5453 |
| 0.3907        | 0.66  | 2500 | 0.4159          | 61.1252   | 50.8035 |
| 0.4122        | 0.8   | 3000 | 0.3897          | 58.2628   | 47.8918 |
| 0.3698        | 0.93  | 3500 | 0.3775          | 56.3536   | 45.8937 |


### Framework versions

- Transformers 4.35.1
- Pytorch 2.1.0
- Datasets 2.14.6
- Tokenizers 0.14.1