---
license: apache-2.0
base_model: serge-wilson/whisper-small-wolof
tags:
- generated_from_trainer
datasets:
- audiofolder
metrics:
- wer
model-index:
- name: ASR
  results:
  - task:
      name: Automatic Speech Recognition
      type: automatic-speech-recognition
    dataset:
      name: audiofolder
      type: audiofolder
      config: default
      split: None
      args: default
    metrics:
    - name: Wer
      type: wer
      value: 39.312847261594285
---

<!-- 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. -->

# ASR

This model is a fine-tuned version of [serge-wilson/whisper-small-wolof](https://huggingface.co/serge-wilson/whisper-small-wolof) on the audiofolder dataset.
It achieves the following results on the evaluation set:
- Loss: 0.3500
- Wer: 39.3128
- Cer: 26.3187

## 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: 0.0005
- train_batch_size: 8
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.98) and epsilon=1e-05
- lr_scheduler_type: polynomial
- lr_scheduler_warmup_steps: 50
- training_steps: 1990
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Wer      | Cer      |
|:-------------:|:-----:|:----:|:---------------:|:--------:|:--------:|
| 1.3022        | 1.0   | 208  | 1.2112          | 146.8307 | 105.1707 |
| 0.8551        | 2.0   | 416  | 0.9020          | 90.5318  | 83.8833  |
| 0.5754        | 3.0   | 624  | 0.7127          | 118.9704 | 102.1064 |
| 0.3739        | 4.0   | 832  | 0.5951          | 63.1591  | 45.8295  |
| 0.2459        | 5.0   | 1040 | 0.4929          | 63.5446  | 50.1286  |
| 0.1579        | 6.0   | 1248 | 0.4524          | 51.6158  | 35.0170  |
| 0.0884        | 7.0   | 1456 | 0.4204          | 46.9554  | 30.6374  |
| 0.0498        | 8.0   | 1664 | 0.3817          | 51.6158  | 33.7194  |
| 0.0268        | 9.0   | 1872 | 0.3490          | 40.8550  | 27.1844  |
| 0.012         | 9.57  | 1990 | 0.3500          | 39.3128  | 26.3187  |


### Framework versions

- Transformers 4.39.3
- Pytorch 2.2.2+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2