---
language:
- dv
license: apache-2.0
base_model: openai/whisper-small
tags:
- generated_from_trainer
datasets:
- mozilla-foundation/common_voice_13_0
metrics:
- wer
model-index:
- name: Whisper Small Dv - Peter Gelderbloem
  results:
  - task:
      name: Automatic Speech Recognition
      type: automatic-speech-recognition
    dataset:
      name: Common Voice 13
      type: mozilla-foundation/common_voice_13_0
      config: dv
      split: None
    metrics:
    - name: Wer
      type: wer
      value: 11.249434920193343
---

<!-- 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 Dv - Peter Gelderbloem

This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the Common Voice 13 dataset.
It achieves the following results on the evaluation set:
- Loss: 0.2863
- Wer Ortho: 57.7129
- Wer: 11.2494

## 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: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: constant_with_warmup
- lr_scheduler_warmup_steps: 50
- training_steps: 4000

### Training results

| Training Loss | Epoch | Step | Validation Loss | Wer     | Wer Ortho |
|:-------------:|:-----:|:----:|:---------------:|:-------:|:---------:|
| 0.1248        | 1.63  | 500  | 0.1684          | 12.9881 | 62.0447   |
| 0.0484        | 3.26  | 1000 | 0.1629          | 11.6493 | 58.6113   |
| 0.0315        | 4.89  | 1500 | 0.1878          | 11.7224 | 58.9386   |
| 0.0125        | 6.51  | 2000 | 0.2308          | 11.0895 | 57.2185   |
| 0.0058        | 8.14  | 2500 | 0.2671          | 11.0773 | 57.6224   |
| 0.0049        | 9.77  | 3000 | 0.2843          | 11.2564 | 57.6572   |
| 0.0033        | 11.4  | 3500 | 0.2845          | 11.0982 | 57.1558   |
| 0.0046        | 13.03 | 4000 | 0.2863          | 57.7129 | 11.2494   |


### Framework versions

- Transformers 4.31.0.dev0
- Pytorch 1.12.1+cu116
- Datasets 2.4.0
- Tokenizers 0.12.1