---
library_name: transformers
language:
- uz
license: apache-2.0
base_model: jamshidahmadov/whisper-uz
tags:
- generated_from_trainer
metrics:
- wer
model-index:
- name: Whisper base uz - Jamshid Ahmadov
  results: []
datasets:
- mozilla-foundation/common_voice_17_0
- DavronSherbaev/uzbekvoice
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# Whisper base uz - Jamshid Ahmadov

This model is a fine-tuned version of Whisper Base on an Common Voice dataset.
It achieves the following results on the evaluation set:
- Loss: 0.1652
- Wer: 14.0135

### Training hyperparameters

The following hyperparameters were used during training:
- learning_rate: 1e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 16
- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- training_steps: 2000
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch  | Step | Validation Loss | Wer     |
|:-------------:|:------:|:----:|:---------------:|:-------:|
| 0.0346        | 0.5714 | 500  | 0.1719          | 14.7950 |
| 0.0348        | 1.1429 | 1000 | 0.1703          | 14.2490 |
| 0.0327        | 1.7143 | 1500 | 0.1672          | 14.1848 |
| 0.02          | 2.2857 | 2000 | 0.1652          | 14.0135 |


### Framework versions

- Transformers 4.50.3
- Pytorch 2.5.1+cu121
- Datasets 3.5.0
- Tokenizers 0.21.0