---
library_name: transformers
language:
- ha
license: apache-2.0
base_model: EYEDOL/whisper-tiny-hausa
tags:
- generated_from_trainer
datasets:
- EYEDOL/naija-voices-hausa-split_0-1
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_0-1
      type: EYEDOL/naija-voices-hausa-split_0-1
    metrics:
    - name: Wer
      type: wer
      value: 0.5105557032704068
---

<!-- 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 [EYEDOL/whisper-tiny-hausa](https://huggingface.co/EYEDOL/whisper-tiny-hausa) on the EYEDOL/naija-voices-hausa-split_0-1 dataset.
It achieves the following results on the evaluation set:
- Loss: 0.7462
- Wer Ortho: 0.5629
- Wer: 0.5106

## 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: 12
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Wer Ortho | Wer    |
|:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|
| 1.4906        | 1.0   | 665  | 0.7049          | 0.5690    | 0.5170 |
| 1.3724        | 2.0   | 1330 | 0.6859          | 0.5655    | 0.5104 |
| 1.2209        | 3.0   | 1995 | 0.6762          | 0.5457    | 0.4862 |
| 1.1009        | 4.0   | 2660 | 0.6690          | 0.5565    | 0.4982 |
| 0.9961        | 5.0   | 3325 | 0.6663          | 0.5415    | 0.4836 |
| 0.9033        | 6.0   | 3990 | 0.6694          | 0.5448    | 0.4877 |
| 0.8164        | 7.0   | 4655 | 0.6788          | 0.5634    | 0.5001 |
| 0.7366        | 8.0   | 5320 | 0.6853          | 0.5382    | 0.4875 |
| 0.6609        | 9.0   | 5985 | 0.7018          | 0.5691    | 0.5168 |
| 0.5888        | 10.0  | 6650 | 0.7114          | 0.5560    | 0.5005 |
| 0.5208        | 11.0  | 7315 | 0.7292          | 0.5602    | 0.5055 |
| 0.4565        | 12.0  | 7980 | 0.7462          | 0.5629    | 0.5106 |


### Framework versions

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