---
language:
- ig
license: apache-2.0
base_model: openai/whisper-small
tags:
- whisper-event
- generated_from_trainer
datasets:
- mozilla-foundation/common_voice_17_0
metrics:
- wer
model-index:
- name: Whisper Small Igbo - Obi Egwu
  results:
  - task:
      name: Automatic Speech Recognition
      type: automatic-speech-recognition
    dataset:
      name: Common Voice 17.0
      type: mozilla-foundation/common_voice_17_0
      config: ig
      split: test
      args: ig
    metrics:
    - name: Wer
      type: wer
      value: 277.77777777777777
---

<!-- 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 Igbo - Obi Egwu

This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the Common Voice 17.0 dataset.
It achieves the following results on the evaluation set:
- Loss: 5.0358
- Wer: 277.7778

## 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: 64
- 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: 5000
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch     | Step | Validation Loss | Wer      |
|:-------------:|:---------:|:----:|:---------------:|:--------:|
| 0.0           | 999.0002  | 1000 | 3.6182          | 91.6667  |
| 0.0           | 1999.0002 | 2000 | 4.2670          | 91.6667  |
| 0.0           | 2999.0002 | 3000 | 4.6511          | 91.6667  |
| 0.0           | 3999.0002 | 4000 | 5.0281          | 277.7778 |
| 0.0           | 4999.0002 | 5000 | 5.0358          | 277.7778 |


### Framework versions

- Transformers 4.41.0
- Pytorch 2.3.0+cu121
- Datasets 2.19.1
- Tokenizers 0.19.1