---
license: apache-2.0
base_model: openai/whisper-tiny
tags:
- generated_from_trainer
datasets:
- PolyAI/minds14
metrics:
- wer
model-index:
- name: whisper-tiny-enUS
  results:
  - task:
      name: Automatic Speech Recognition
      type: automatic-speech-recognition
    dataset:
      name: PolyAI/minds14
      type: PolyAI/minds14
      config: en-US
      split: train
      args: en-US
    metrics:
    - name: Wer
      type: wer
      value: 7.431944109853047
---

<!-- 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-tiny-enUS

This model is a fine-tuned version of [openai/whisper-tiny](https://huggingface.co/openai/whisper-tiny) on the PolyAI/minds14 dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0000
- Wer Ortho: 7.4972
- Wer: 7.4319

## 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 Ortho | Wer    |
|:-------------:|:------:|:----:|:---------------:|:---------:|:------:|
| 0.0017        | 14.29  | 500  | 0.0011          | 4.3200    | 4.2159 |
| 0.0003        | 28.57  | 1000 | 0.0005          | 4.4204    | 4.3724 |
| 0.001         | 42.86  | 1500 | 0.0003          | 4.1567    | 4.0954 |
| 0.0001        | 57.14  | 2000 | 0.0001          | 4.3702    | 4.3483 |
| 0.0001        | 71.43  | 2500 | 0.0001          | 7.1958    | 7.1429 |
| 0.0           | 85.71  | 3000 | 0.0000          | 7.5097    | 7.4440 |
| 0.0           | 100.0  | 3500 | 0.0000          | 7.5348    | 7.4681 |
| 0.0           | 114.29 | 4000 | 0.0000          | 7.4972    | 7.4319 |


### Framework versions

- Transformers 4.32.0.dev0
- Pytorch 2.0.1+cu117
- Datasets 2.13.1
- Tokenizers 0.13.3