---
library_name: transformers
language:
- ha
license: apache-2.0
base_model: openai/whisper-tiny
tags:
- generated_from_trainer
datasets:
- EYEDOL/naija-voices-hausa-split_0-0
metrics:
- wer
model-index:
- name: EYEDOL/whisper-tiny-hausa
  results:
  - task:
      name: Automatic Speech Recognition
      type: automatic-speech-recognition
    dataset:
      name: EYEDOL/naija-voices-hausa-split_0-0
      type: EYEDOL/naija-voices-hausa-split_0-0
    metrics:
    - name: Wer
      type: wer
      value: 0.5221648941771085
---

<!-- 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. -->

# EYEDOL/whisper-tiny-hausa

This model is a fine-tuned version of [openai/whisper-tiny](https://huggingface.co/openai/whisper-tiny) on the EYEDOL/naija-voices-hausa-split_0-0 dataset.
It achieves the following results on the evaluation set:
- Loss: 0.7752
- Wer Ortho: 0.5775
- Wer: 0.5222

## 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: 32
- eval_batch_size: 16
- seed: 42
- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: constant_with_warmup
- lr_scheduler_warmup_steps: 0.1
- num_epochs: 10
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Wer Ortho | Wer    |
|:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|
| 4.5185        | 1.0   | 665  | 1.2291          | 0.8407    | 0.7963 |
| 2.0880        | 2.0   | 1330 | 0.9774          | 0.7245    | 0.6717 |
| 1.6905        | 3.0   | 1995 | 0.8828          | 0.6599    | 0.6016 |
| 1.4668        | 4.0   | 2660 | 0.8334          | 0.6431    | 0.5829 |
| 1.3050        | 5.0   | 3325 | 0.7984          | 0.6149    | 0.5562 |
| 1.1746        | 6.0   | 3990 | 0.7819          | 0.6115    | 0.5516 |
| 1.0632        | 7.0   | 4655 | 0.7707          | 0.5996    | 0.5419 |
| 0.9630        | 8.0   | 5320 | 0.7678          | 0.5939    | 0.5360 |
| 0.8731        | 9.0   | 5985 | 0.7667          | 0.5963    | 0.5376 |
| 0.7893        | 10.0  | 6650 | 0.7752          | 0.5775    | 0.5222 |


### Framework versions

- Transformers 5.0.0
- Pytorch 2.10.0+cu128
- Datasets 4.8.3
- Tokenizers 0.22.2