---
license: apache-2.0
tags:
- whisper-event
- generated_from_trainer
datasets:
- data/copas
metrics:
- wer
model-index:
- name: Whisper Small dysarthric Dutch
  results:
  - task:
      name: Automatic Speech Recognition
      type: automatic-speech-recognition
    dataset:
      name: data/copas copas-full
      type: data/copas
      config: copas-full
      split: test
      args: copas-full
    metrics:
    - name: Wer
      type: wer
      value: 22.163827473722364
---

<!-- 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 dysarthric Dutch

This model is a fine-tuned version of [qmeeus/whisper-small-nl](https://huggingface.co/qmeeus/whisper-small-nl) on the data/copas copas-full dataset.
It achieves the following results on the evaluation set:
- Loss: 0.4702
- Wer: 22.1638

## 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: 0.0001
- train_batch_size: 32
- eval_batch_size: 32
- seed: 42
- gradient_accumulation_steps: 2
- 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: 10000
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step  | Validation Loss | Wer     |
|:-------------:|:-----:|:-----:|:---------------:|:-------:|
| 0.1618        | 0.05  | 500   | 0.3787          | 28.9235 |
| 0.0583        | 1.05  | 1000  | 0.3732          | 25.7702 |
| 0.0382        | 2.05  | 1500  | 0.4001          | 25.4621 |
| 0.0316        | 3.05  | 2000  | 0.4081          | 24.7010 |
| 0.0169        | 4.05  | 2500  | 0.4325          | 24.1935 |
| 0.0153        | 5.05  | 3000  | 0.4325          | 33.4179 |
| 0.0074        | 6.05  | 3500  | 0.4367          | 23.9398 |
| 0.0096        | 7.05  | 4000  | 0.4390          | 23.3055 |
| 0.0054        | 8.05  | 4500  | 0.4441          | 23.7042 |
| 0.0032        | 9.04  | 5000  | 0.4493          | 23.2693 |
| 0.004         | 10.04 | 5500  | 0.4524          | 23.3418 |
| 0.0048        | 11.04 | 6000  | 0.4498          | 23.7224 |
| 0.001         | 12.04 | 6500  | 0.4577          | 22.8887 |
| 0.0002        | 13.04 | 7000  | 0.4577          | 22.0913 |
| 0.0001        | 14.04 | 7500  | 0.4616          | 22.1276 |
| 0.0001        | 15.04 | 8000  | 0.4639          | 22.2726 |
| 0.0001        | 16.04 | 8500  | 0.4662          | 22.1095 |
| 0.0001        | 17.04 | 9000  | 0.4684          | 22.1457 |
| 0.0001        | 18.04 | 9500  | 0.4697          | 22.1457 |
| 0.0001        | 19.04 | 10000 | 0.4702          | 22.1638 |


### Framework versions

- Transformers 4.26.0.dev0
- Pytorch 1.12.1+cu116
- Datasets 2.4.0
- Tokenizers 0.12.1