---
language:
- multilingual
license: apache-2.0
base_model: serge-wilson/whisper-small-wolof
tags:
- generated_from_trainer
datasets:
- audiofolder
metrics:
- wer
model-index:
- name: Whisper Wolof Lengo AI V5
  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: 36.047170881052274
---

<!-- 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 Wolof Lengo AI V5

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: 0.3569
- Wer: 36.0472
- Cer: 22.5967

## 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: linear
- lr_scheduler_warmup_steps: 50
- training_steps: 1990
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Wer     | Cer     |
|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|
| 1.2672        | 1.0   | 208  | 1.2009          | 85.3838 | 63.2065 |
| 0.875         | 2.0   | 416  | 0.8801          | 95.6117 | 69.2841 |
| 0.5964        | 3.0   | 624  | 0.6979          | 88.4681 | 63.1476 |
| 0.3953        | 4.0   | 832  | 0.6112          | 69.2255 | 57.6000 |
| 0.2465        | 5.0   | 1040 | 0.5015          | 55.4825 | 44.1314 |
| 0.161         | 6.0   | 1248 | 0.4401          | 53.7476 | 36.3715 |
| 0.0903        | 7.0   | 1456 | 0.4081          | 47.1822 | 31.0320 |
| 0.0553        | 8.0   | 1664 | 0.3751          | 44.7783 | 29.2044 |
| 0.024         | 9.0   | 1872 | 0.3604          | 38.7686 | 25.2606 |
| 0.011         | 9.57  | 1990 | 0.3569          | 36.0472 | 22.5967 |


### Framework versions

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