---
language:
- yo
license: apache-2.0
library_name: peft
tags:
- hf-asr-leaderboard
- generated_from_trainer
datasets:
- mozilla-foundation/common_voice_16_1
metrics:
- wer
base_model: steja/whisper-small-yoruba
model-index:
- name: Whisper Yoruba- Abdulhameed Dere
  results:
  - task:
      type: automatic-speech-recognition
      name: Automatic Speech Recognition
    dataset:
      name: common_voice_16_1
      type: mozilla-foundation/common_voice_16_1
      config: yo_ng
      split: test
      args: 'config: yor, split: test'
    metrics:
    - type: wer
      value: 60.10434782608696
      name: Wer
---

<!-- 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 Yoruba- Abdulhameed Dere

This model is a fine-tuned version of [DereAbdulhameed/whisper-distill_large_v2_Yoruba](https://huggingface.co/DereAbdulhameed/whisper-distill_large_v2_Yoruba) on the common_voice_16_1 dataset.
It achieves the following results on the evaluation set:
- Loss: 0.8089
- Wer: 60.1043

## 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: 0.001
- train_batch_size: 3
- eval_batch_size: 1
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Wer     |
|:-------------:|:-----:|:----:|:---------------:|:-------:|
| 0.7515        | 1.0   | 906  | 0.8561          | 66.0174 |
| 0.4839        | 2.0   | 1812 | 0.8116          | 62.8323 |
| 0.1205        | 3.0   | 2718 | 0.8089          | 60.1043 |


### Framework versions

- PEFT 0.9.1.dev0
- Transformers 4.39.0.dev0
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2