---
library_name: transformers
language:
- bem
license: apache-2.0
base_model: openai/whisper-small
tags:
- generated_from_trainer
datasets:
- BIG_C_and_AMMI-BEMBA_SPEECH_CORPUS/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_and_AMMI-BEMBA_SPEECH_CORPUS/BEMBA
      args: 'config: bemba, split: test'
    metrics:
    - name: Wer
      type: wer
      value: 0.35305995080582986
---

<!-- 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: 0.5013
- Wer: 0.3531
- Cer: 0.1008

## 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    |
|:-------------:|:-----:|:-----:|:---------------:|:------:|:------:|
| 0.9062        | 1.0   | 5914  | 0.4964          | 0.4258 | 0.1059 |
| 0.5025        | 2.0   | 11828 | 0.4104          | 0.3567 | 0.0887 |
| 0.4079        | 3.0   | 17742 | 0.3767          | 0.3252 | 0.0827 |
| 0.3239        | 4.0   | 23656 | 0.3676          | 0.3133 | 0.0804 |
| 0.2438        | 5.0   | 29570 | 0.3798          | 0.3219 | 0.0846 |
| 0.1655        | 6.0   | 35484 | 0.4092          | 0.3124 | 0.0787 |
| 0.0986        | 7.0   | 41398 | 0.4579          | 0.3251 | 0.0845 |
| 0.0554        | 8.0   | 47312 | 0.4980          | 0.3231 | 0.0844 |
| 0.0342        | 9.0   | 53226 | 0.5362          | 0.3174 | 0.0820 |
| 0.0255        | 10.0  | 59140 | 0.5647          | 0.3150 | 0.0810 |
| 0.021         | 11.0  | 65054 | 0.5882          | 0.3153 | 0.0797 |
| 0.0184        | 12.0  | 70968 | 0.6067          | 0.3162 | 0.0805 |
| 0.0161        | 13.0  | 76882 | 0.6337          | 0.3192 | 0.0842 |
| 0.0146        | 14.0  | 82796 | 0.6493          | 0.3138 | 0.0819 |


### Framework versions

- Transformers 4.45.2
- Pytorch 2.1.0+cu118
- Datasets 3.0.1
- Tokenizers 0.20.1