---
language:
- nl
license: apache-2.0
base_model: rb00/whisper-small-nl-v0.6
tags:
- generated_from_trainer
datasets:
- mozilla-foundation/common_voice_11_0
- mozilla-foundation/common_voice_14_0
- mozilla-foundation/common_voice_16_1
- mozilla-foundation/common_voice_17_0
model-index:
- name: Whisper Small
  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

This model is a fine-tuned version of [rb00/whisper-small-nl-v0.6](https://huggingface.co/rb00/whisper-small-nl-v0.6) on the Common Voice 17.0 dataset.

## Model description

More information needed

## Intended uses & limitations

More information needed

## Training and evaluation data

For 100 samples: 
- wer (our STC datset dutch_stc_speaker_by_susan_upto_03_jun): 25.4386
- wer (facebook/multilingual_librispeech): 42.1868
  
## Training procedure

### Training hyperparameters

The following hyperparameters were used during training:
- learning_rate: 1e-05
- train_batch_size: 4
- eval_batch_size: 4
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 16
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 50
- training_steps: 100
- mixed_precision_training: Native AMP

### Framework versions

- Transformers 4.42.3
- Pytorch 2.1.2
- Datasets 2.20.0
- Tokenizers 0.19.1