transformers tensorboard safetensors whisper automatic-speech-recognition hf-asr-leaderboard generated_from_trainer en dataset:MetaDataByAudio 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:
- MetaDataByAudio
metrics:
- wer
model-index:
- name: Whisper Small-FineTuning-allKeywords
  results:
  - task:
      name: Automatic Speech Recognition
      type: automatic-speech-recognition
    dataset:
      name: Databyaudio
      type: MetaDataByAudio
      args: 'config: en, split: test'
    metrics:
    - name: Wer
      type: wer
      value: 19.226260257913246
---

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# Whisper Small-FineTuning-allKeywords

This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the Databyaudio dataset.
It achieves the following results on the evaluation set:
- Loss: 1.5471
- Wer: 19.2263

## 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: 3
- 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: 100
- training_steps: 400
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Wer     |
|:-------------:|:-----:|:----:|:---------------:|:-------:|
| 0.2091        | 50.0  | 50   | 1.6165          | 19.6366 |
| 0.0707        | 100.0 | 100  | 1.7163          | 19.2849 |
| 0.0           | 150.0 | 150  | 1.5499          | 19.4607 |
| 0.0           | 200.0 | 200  | 1.5489          | 19.4021 |
| 0.0           | 250.0 | 250  | 1.5481          | 19.2849 |
| 0.0           | 300.0 | 300  | 1.5477          | 19.2263 |
| 0.0           | 350.0 | 350  | 1.5471          | 19.2263 |
| 0.0           | 400.0 | 400  | 1.5471          | 19.2263 |


### Framework versions

- Transformers 4.39.0.dev0
- Pytorch 2.1.0+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2
