---
library_name: transformers
language:
- bem
license: apache-2.0
base_model: openai/whisper-small
tags:
- generated_from_trainer
datasets:
- BIG-C/BEMBA
metrics:
- wer
model-index:
- name: Whisper Small Bemba - Beijuka Bruno
  results:
  - task:
      name: Automatic Speech Recognition
      type: automatic-speech-recognition
    dataset:
      name: BEMBA
      type: BIG-C/BEMBA
      args: 'config: bemba, split: test'
    metrics:
    - name: Wer
      type: wer
      value: 0.3491317596093836
---

<!-- 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 Bemba - Beijuka Bruno

This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the BEMBA dataset.
It achieves the following results on the evaluation set:
- Loss: 0.4520
- Wer: 0.3491
- Cer: 0.0971

## 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: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.025
- num_epochs: 100

### Training results

| Training Loss | Epoch | Step  | Validation Loss | Wer    | Cer    |
|:-------------:|:-----:|:-----:|:---------------:|:------:|:------:|
| 0.9127        | 1.0   | 5143  | 0.5881          | 0.4483 | 0.1252 |
| 0.5091        | 2.0   | 10286 | 0.4981          | 0.3918 | 0.1136 |
| 0.4171        | 3.0   | 15429 | 0.4668          | 0.3636 | 0.1024 |
| 0.3332        | 4.0   | 20572 | 0.4638          | 0.3551 | 0.1022 |
| 0.251         | 5.0   | 25715 | 0.4828          | 0.3585 | 0.1101 |
| 0.1689        | 6.0   | 30858 | 0.5249          | 0.3631 | 0.1102 |
| 0.0992        | 7.0   | 36001 | 0.5907          | 0.3645 | 0.1078 |
| 0.0548        | 8.0   | 41144 | 0.6471          | 0.3676 | 0.1082 |
| 0.034         | 9.0   | 46287 | 0.7023          | 0.3646 | 0.1071 |
| 0.0252        | 10.0  | 51430 | 0.7307          | 0.3707 | 0.1129 |
| 0.0207        | 11.0  | 56573 | 0.7652          | 0.3652 | 0.1071 |
| 0.0178        | 12.0  | 61716 | 0.7873          | 0.3653 | 0.1088 |
| 0.0161        | 13.0  | 66859 | 0.8036          | 0.3643 | 0.1093 |
| 0.0144        | 14.0  | 72002 | 0.8223          | 0.3573 | 0.1064 |


### Framework versions

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