---
license: apache-2.0
tags:
- generated_from_trainer
- whisper-event
metrics:
- wer
model-index:
- name: whisper-small-nl
  results: []
---

<!-- 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-nl

This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the [CGN dataset](https://taalmaterialen.ivdnt.org/download/tstc-corpus-gesproken-nederlands/).
It achieves the following results on the evaluation set:
- Wer: 15.8367

## 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: 512
- eval_batch_size: 64
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 50
- training_steps: 6000
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Wer     |
|:-------------:|:-----:|:----:|:---------------:|:-------:|
| 0.8378        | 0.1   | 100  | 0.4933          | 23.8827 |
| 0.5547        | 0.2   | 200  | 0.4476          | 21.0578 |
| 0.3905        | 0.3   | 300  | 0.4335          | 21.1689 |
| 0.3766        | 0.4   | 400  | 0.4267          | 20.0528 |
| 0.4164        | 0.5   | 500  | 0.4139          | 21.4329 |
| 0.2939        | 0.6   | 600  | 0.3864          | 18.3671 |
| 0.2632        | 0.7   | 700  | 0.3864          | 18.4319 |
| 0.6066        | 0.8   | 800  | 0.3804          | 19.2748 |
| 0.2075        | 1.09  | 900  | 0.3794          | 18.8904 |
| 0.2102        | 1.19  | 1000 | 0.3777          | 19.8814 |
| 0.2045        | 2.49  | 2000 | 0.3194          | 16.1628 |
| 0.0652        | 4.97  | 3000 | 0.3425          | 16.3672 |
| 0.0167        | 7.46  | 4000 | 0.3915          | 15.8187 |
| 0.0064        | 9.95  | 5000 | 0.4190          | 15.7298 |
| 0.0041        | 12.44 | 6000 | 0.4315          | 15.8367 |


### Framework versions

- Transformers 4.26.0.dev0
- Pytorch 1.13.0+cu117
- Datasets 2.7.1.dev0
- Tokenizers 0.13.2