---
language:
- en
license: apache-2.0
base_model: openai/whisper-small
tags:
- generated_from_trainer
datasets:
- DTU54DL/common-accent
metrics:
- wer
model-index:
- name: Whisper Small for Common Accent
  results:
  - task:
      name: Automatic Speech Recognition
      type: automatic-speech-recognition
    dataset:
      name: Common Accent
      type: DTU54DL/common-accent
    metrics:
    - name: Wer
      type: wer
      value: 13.060479666319083
---

<!-- 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 for Common Accent

This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the Common Accent dataset.
It achieves the following results on the evaluation set:
- Loss: 0.4234
- Wer Ortho: 17.9229
- Wer: 13.0605

## 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: 2500

### Training results

| Training Loss | Epoch | Step | Validation Loss | Wer Ortho | Wer     |
|:-------------:|:-----:|:----:|:---------------:|:---------:|:-------:|
| 0.1012        | 1.14  | 500  | 0.3215          | 16.3784   | 11.5941 |
| 0.0345        | 2.28  | 1000 | 0.3483          | 16.6496   | 11.8450 |
| 0.018         | 3.42  | 1500 | 0.3829          | 17.1622   | 12.4707 |
| 0.0075        | 4.57  | 2000 | 0.4069          | 17.8667   | 13.0116 |
| 0.0059        | 5.71  | 2500 | 0.4234          | 17.9229   | 13.0605 |


### Framework versions

- Transformers 4.33.0.dev0
- Pytorch 2.0.1+cu118
- Datasets 2.14.4
- Tokenizers 0.13.3