---
library_name: transformers
language:
- ig
license: apache-2.0
base_model: openai/whisper-tiny
tags:
- generated_from_trainer
datasets:
- mozilla-foundation/common_voice_11_0
metrics:
- wer
model-index:
- name: Whisper Tiny Igbo - Benjamin Ogbonna
  results:
  - task:
      name: Automatic Speech Recognition
      type: automatic-speech-recognition
    dataset:
      name: Whisper for Igbo 1.0
      type: mozilla-foundation/common_voice_11_0
      config: ig
      split: None
      args: 'config: ig, split: test'
    metrics:
    - name: Wer
      type: wer
      value: 100.0
---

<!-- 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 Tiny Igbo - Benjamin Ogbonna

This model is a fine-tuned version of [openai/whisper-tiny](https://huggingface.co/openai/whisper-tiny) on the Whisper for Igbo 1.0 dataset.
It achieves the following results on the evaluation set:
- Loss: 5.9958
- Wer: 100.0

## 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: 3e-05
- train_batch_size: 16
- eval_batch_size: 8
- seed: 42
- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 25
- training_steps: 300
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Wer      |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 0.0           | 50.0  | 50   | 4.6220          | 100.0    |
| 0.0           | 100.0 | 100  | 5.1929          | 105.7143 |
| 0.0           | 150.0 | 150  | 5.5613          | 108.5714 |
| 0.0           | 200.0 | 200  | 5.8296          | 97.1429  |
| 0.0           | 250.0 | 250  | 5.9560          | 100.0    |
| 0.0           | 300.0 | 300  | 5.9958          | 100.0    |


### Framework versions

- Transformers 4.49.0
- Pytorch 2.6.0+cu124
- Datasets 3.4.1
- Tokenizers 0.21.1