---
library_name: transformers
language:
- sn
license: apache-2.0
base_model: openai/whisper-small
tags:
- generated_from_trainer
datasets:
- DigitalUmuganda/Afrivoice
metrics:
- wer
model-index:
- name: Whisper Small Shona - Beijuka Bruno
  results:
  - task:
      name: Automatic Speech Recognition
      type: automatic-speech-recognition
    dataset:
      name: Afrivoice_shona
      type: DigitalUmuganda/Afrivoice
    metrics:
    - name: Wer
      type: wer
      value: 0.249389849081038
---

<!-- 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 Shona - Beijuka Bruno

This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the Afrivoice_shona dataset.
It achieves the following results on the evaluation set:
- Loss: 0.2732
- Wer: 0.2494
- Cer: 0.0454

## 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: 4
- 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
- num_epochs: 100

### Training results

| Training Loss | Epoch | Step  | Validation Loss | Wer    | Cer    |
|:-------------:|:-----:|:-----:|:---------------:|:------:|:------:|
| 0.4587        | 1.0   | 3704  | 0.3029          | 0.2674 | 0.0498 |
| 0.2209        | 2.0   | 7408  | 0.2808          | 0.2737 | 0.0539 |
| 0.1485        | 3.0   | 11112 | 0.2871          | 0.2600 | 0.0464 |
| 0.0954        | 4.0   | 14816 | 0.3082          | 0.2701 | 0.0529 |
| 0.0567        | 5.0   | 18520 | 0.3315          | 0.2619 | 0.0492 |
| 0.0328        | 6.0   | 22224 | 0.3654          | 0.2632 | 0.0479 |
| 0.0205        | 7.0   | 25928 | 0.3952          | 0.2661 | 0.0481 |
| 0.0146        | 8.0   | 29632 | 0.4262          | 0.2612 | 0.0479 |
| 0.0116        | 9.0   | 33336 | 0.4367          | 0.2640 | 0.0492 |
| 0.0096        | 10.0  | 37040 | 0.4722          | 0.2657 | 0.0476 |
| 0.0081        | 11.0  | 40744 | 0.4748          | 0.2642 | 0.0481 |
| 0.0075        | 12.0  | 44448 | 0.4790          | 0.2693 | 0.0476 |
| 0.0069        | 13.0  | 48152 | 0.4983          | 0.2665 | 0.0493 |


### Framework versions

- Transformers 4.45.2
- Pytorch 2.2.0+cu121
- Datasets 3.0.1
- Tokenizers 0.20.1