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---
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 |