---
language:
- multilingual
license: apache-2.0
base_model: openai/whisper-small
tags:
- generated_from_trainer
metrics:
- wer
model-index:
- name: Whisper Small Wolof
  results: []
datasets:
- serge-wilson/wolof_audio_transcription
---

<!-- 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 Small Wolof

This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the [serge-wilson/wolof-transcription](https://huggingface.co/datasets/serge-wilson/wolof_audio_transcription) dataset.
It achieves the following results on the evaluation set:
- Loss: 0.1692
- Wer: 15.3788

## 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: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- training_steps: 4000

### Training results

| Training Loss | Epoch | Step | Validation Loss | Wer     |
|:-------------:|:-----:|:----:|:---------------:|:-------:|
| 0.4244        | 1.14  | 1000 | 0.3268          | 28.2959 |
| 0.1663        | 2.29  | 2000 | 0.2148          | 20.7080 |
| 0.0787        | 3.43  | 3000 | 0.1761          | 15.8736 |
| 0.0355        | 4.57  | 4000 | 0.1692          | 15.3788 |


### Framework versions

- Transformers 4.34.0.dev0
- Pytorch 2.0.0
- Datasets 2.14.5
- Tokenizers 0.13.3