transformers pytorch whisper automatic-speech-recognition hf-asr-leaderboard generated_from_trainer en dataset:mozilla-foundation/common_voice_11_0 base_model:openai/whisper-small license:apache-2.0 model-index endpoints_compatible region:us
---
language:
- en
license: apache-2.0
base_model: openai/whisper-small
tags:
- hf-asr-leaderboard
- generated_from_trainer
datasets:
- mozilla-foundation/common_voice_11_0
metrics:
- wer
model-index:
- name: whisper-small-ctmtrained
  results:
  - task:
      name: Automatic Speech Recognition
      type: automatic-speech-recognition
    dataset:
      name: Common Voice 11.0
      type: mozilla-foundation/common_voice_11_0
      config: en
      split: test
      args: 'config: en, split: test'
    metrics:
    - name: Wer
      type: wer
      value: 23.466959546036975
---

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# whisper-small-ctmtrained

This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the Common Voice 11.0 dataset.
It achieves the following results on the evaluation set:
- Loss: 0.3589
- Wer: 23.4670

## 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: 4
- eval_batch_size: 8
- 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: 4000

### Training results

| Training Loss | Epoch | Step | Validation Loss | Wer     |
|:-------------:|:-----:|:----:|:---------------:|:-------:|
| 0.3561        | 0.25  | 1000 | 0.4019          | 29.4560 |
| 0.2765        | 0.5   | 2000 | 0.3836          | 28.5930 |
| 0.3741        | 0.75  | 3000 | 0.3685          | 24.5757 |
| 0.2769        | 1.0   | 4000 | 0.3589          | 23.4670 |


### Framework versions

- Transformers 4.32.1
- Pytorch 2.1.2+cu118
- Datasets 2.12.0
- Tokenizers 0.13.2
