---
language:
- ms
license: apache-2.0
base_model: openai/whisper-small
tags:
  - generated_from_trainer
datasets:
  - clt013/malay-speech-3k-rows-dataset
metrics:
  - wer
model-index:
- name: Whisper Small FT Malay - CLT013
  results:
  - task:
      name: Automatic Speech Recognition
      type: automatic-speech-recognition
    dataset:
      name: Malay Speech 3k
      type: clt013/malay-speech-3k-rows-dataset
      config: default
      split: train
      args: default
    metrics:
    - name: Wer
      type: wer
      value: 27.169943
---
---

# Whisper Small FT Malay - CLT013

This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the Malay Speech 3k dataset.
It achieves the following results on the evaluation set:
- Loss: 0.545344
- Wer: 27.169943

## 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: 8
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- training_steps: 1000
- mixed_precision_training: Native AMP

### Training results
| Training Loss | Epoch | Step | Validation Loss | Wer     |
|:-------------:|:-----:|:----:|:---------------:|:-------:|
| 0.7275        | 0.1   | 100  | 0.677592        | 38.9111 |
| 0.521         | 0.2   | 200  | 0.565486        | 36.6151 |
| 0.3128        | 0.3   | 300  | 0.525294        | 29.7965 |
| 0.2964        | 0.4   | 400  | 0.500519        | 35.2235 |
| 0.1631        | 0.5   | 500  | 0.508256        | 36.2845 |
| 0.0731        | 0.6   | 600  | 0.532225        | 38.4414 |
| 0.0548        | 0.7   | 700  | 0.519905        | 27.2743 |
| 0.0289        | 0.8   | 800  | 0.533013        | 27.6917 |
| 0.0131        | 0.9   | 900  | 0.548259        | 26.9090 |
| 0.0071        | 1.0   | 1000 | 0.545344        | 27.1699 |

### Framework versions

- Transformers 4.41.2
- Datasets 2.19.1
- Tokenizers 0.19.1