---
license: apache-2.0
tags:
- whisper-event
- generated_from_trainer
datasets:
- kul-speech-lab/CGN
metrics:
- wer
model-index:
- name: Whisper Small CGN
  results:
  - task:
      name: Automatic Speech Recognition
      type: automatic-speech-recognition
    dataset:
      name: kul-speech-lab/CGN
      type: kul-speech-lab/CGN
      config: cgn-dev.py
      split: test
    metrics:
    - name: Wer
      type: wer
      value: 15.197170132057957
---


# Whisper Small CGN

This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the kul-speech-lab/CGN dataset.
It achieves the following results on the evaluation set:
- Loss: 0.3386
- Wer: 15.1972

### Training hyperparameters

The following hyperparameters were used during training:
- learning_rate: 1e-05
- train_batch_size: 16
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 64
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- training_steps: 15000
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step  | Validation Loss | Wer     |
|:-------------:|:-----:|:-----:|:---------------:|:-------:|
| 0.1967        | 1.01  | 1000  | 0.4085          | 21.8459 |
| 0.1355        | 2.03  | 2000  | 0.3752          | 18.6212 |
| 0.2952        | 3.04  | 3000  | 0.3535          | 18.5841 |
| 0.1876        | 4.05  | 4000  | 0.3464          | 17.5097 |
| 0.1037        | 6.01  | 5000  | 0.3396          | 16.7360 |
| 0.0473        | 7.02  | 6000  | 0.3526          | 16.4131 |
| 0.1605        | 8.04  | 7000  | 0.3284          | 16.4012 |
| 0.0537        | 9.05  | 8000  | 0.3386          | 15.9454 |
| 0.0928        | 11.01 | 9000  | 0.3315          | 15.9568 |
| 0.0144        | 12.02 | 10000 | 0.3532          | 15.5387 |
| 0.0267        | 13.04 | 11000 | 0.3261          | 15.7577 |
| 0.0936        | 14.05 | 12000 | 0.3155          | 15.3380 |
| 0.0825        | 16.01 | 13000 | 0.3198          | 15.2653 |
| 0.0498        | 17.02 | 14000 | 0.3386          | 15.1972 |
| 0.0338        | 18.03 | 15000 | 0.3413          | 15.1972 |


### Framework versions

- Transformers 4.26.0.dev0
- Pytorch 1.13.0
- Datasets 2.7.1.dev0
- Tokenizers 0.13.2

Whisper small model finetuned on Flemish part of Corpus Gesproken Nederlands (CGN).