---
language:
- en
license: apache-2.0
tags:
- whisper-event
- generated_from_trainer
datasets:
- mozilla-foundation/common_voice_11_0
metrics:
- wer
model-index:
- name: Whisper Small English
  results:
  - task:
      name: Automatic Speech Recognition
      type: automatic-speech-recognition
    dataset:
      name: mozilla-foundation/common_voice_11_0 en
      type: mozilla-foundation/common_voice_11_0
      config: en
      split: test
      args: en
    metrics:
    - name: Wer
      type: wer
      value: 12.021334704238024
---

<!-- 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 English

This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the mozilla-foundation/common_voice_11_0 en dataset.
It achieves the following results on the evaluation set:
- Loss: 0.3107
- Wer: 12.0213

## 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: 32
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- training_steps: 40000
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step  | Validation Loss | Wer     |
|:-------------:|:-----:|:-----:|:---------------:|:-------:|
| 0.1577        | 0.06  | 2500  | 0.4077          | 16.2349 |
| 0.2244        | 0.12  | 5000  | 0.3698          | 14.7325 |
| 0.3231        | 0.19  | 7500  | 0.3434          | 13.7448 |
| 0.2536        | 0.25  | 10000 | 0.3406          | 13.4981 |
| 0.2234        | 0.31  | 12500 | 0.3510          | 14.1304 |
| 0.1989        | 0.38  | 15000 | 0.3388          | 13.6394 |
| 0.2449        | 0.44  | 17500 | 0.3394          | 13.4293 |
| 0.2302        | 0.5   | 20000 | 0.3198          | 12.5020 |
| 0.213         | 0.56  | 22500 | 0.3167          | 12.4904 |
| 0.2395        | 0.62  | 25000 | 0.3145          | 12.7533 |
| 0.1152        | 0.69  | 27500 | 0.3181          | 12.6087 |
| 0.0901        | 1.01  | 30000 | 0.3134          | 12.3240 |
| 0.1595        | 1.07  | 32500 | 0.3107          | 12.0213 |
| 0.1249        | 1.13  | 35000 | 0.3131          | 12.0869 |
| 0.1404        | 1.2   | 37500 | 0.3117          | 12.4635 |
| 0.1812        | 1.26  | 40000 | 0.3104          | 12.1415 |


### Framework versions

- Transformers 4.28.0.dev0
- Pytorch 2.0.0+cu117
- Datasets 2.11.1.dev0
- Tokenizers 0.13.2