---
library_name: transformers
language:
- hu
license: mit
base_model: openai/whisper-large-v3-turbo
tags:
- generated_from_trainer
datasets:
- mozilla-foundation/common_voice_17_0
metrics:
- wer
model-index:
- name: TcT Whisper Turbo - Zakryah
  results:
  - task:
      name: Automatic Speech Recognition
      type: automatic-speech-recognition
    dataset:
      name: Common voice 17.0
      type: mozilla-foundation/common_voice_17_0
      config: hu
      split: test
      args: 'config: hu, split: test'
    metrics:
    - name: Wer
      type: wer
      value: 10.865284788601295
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# TcT Whisper Turbo - Zakryah

This model is a fine-tuned version of [openai/whisper-large-v3-turbo](https://huggingface.co/openai/whisper-large-v3-turbo) on the Common voice 17.0 dataset.
It achieves the following results on the evaluation set:
- Loss: 0.1012
- Wer: 10.8653

## 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: 8
- seed: 42
- optimizer: Use OptimizerNames.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: 4000
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch  | Step | Validation Loss | Wer     |
|:-------------:|:------:|:----:|:---------------:|:-------:|
| 0.1832        | 0.3299 | 1000 | 0.1836          | 18.5993 |
| 0.1546        | 0.6598 | 2000 | 0.1450          | 15.8307 |
| 0.1182        | 0.9898 | 3000 | 0.1138          | 12.4178 |
| 0.0435        | 1.3197 | 4000 | 0.1012          | 10.8653 |


### Framework versions

- Transformers 4.53.0.dev0
- Pytorch 2.5.1
- Datasets 3.3.2
- Tokenizers 0.21.1