---
library_name: transformers
language:
- yo
license: apache-2.0
base_model: openai/whisper-small
tags:
- whisper-event
- generated_from_trainer
datasets:
- mozilla-foundation/common_voice_17_0
metrics:
- wer
model-index:
- name: Harcuracy/whisper_bouesti_asr
  results:
  - task:
      name: Automatic Speech Recognition
      type: automatic-speech-recognition
    dataset:
      name: Common Voice 17.0
      type: mozilla-foundation/common_voice_17_0
      config: yo
      split: test
      args: yo
    metrics:
    - name: Wer
      type: wer
      value: 51.038251366120214
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# Harcuracy/whisper_bouesti_asr

This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the Common Voice 17.0 dataset.
It achieves the following results on the evaluation set:
- Loss: 0.7570
- Wer: 51.0383

## 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: 8
- eval_batch_size: 8
- seed: 42
- 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
- training_steps: 1000
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch  | Step | Validation Loss | Wer     |
|:-------------:|:------:|:----:|:---------------:|:-------:|
| 0.4516        | 0.8711 | 250  | 0.7315          | 55.8806 |
| 0.2582        | 1.7422 | 500  | 0.7210          | 51.2232 |
| 0.1496        | 2.6132 | 750  | 0.7389          | 50.6852 |
| 0.0913        | 3.4843 | 1000 | 0.7570          | 51.0383 |


### Framework versions

- Transformers 4.47.0
- Pytorch 2.5.1+cu121
- Datasets 3.2.0
- Tokenizers 0.21.0