---
license: apache-2.0
base_model: openai/whisper-tiny
tags:
- generated_from_trainer
datasets:
- PolyAI/minds14
metrics:
- wer
model-index:
- name: whisper-tiny-en
  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: 0.35723514211886304
---

<!-- 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-en

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: 0.9035
- Wer Ortho: 0.354643
- Wer: 0.357235

## 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: 50
- training_steps: 4000

### Training results

| Training Loss | Epoch  | Step | Validation Loss | Wer Ortho | Wer     |
|:-------------:|:------:|:----:|:---------------:|:---------:|:-------:|
| 0.0005        | 35.71  | 500  | 0.7515          | 36.1373   | 36.4341 |
| 0.0002        | 71.43  | 1000 | 0.8095          | 36.4065   | 36.5633 |
| 0.0001        | 107.14 | 1500 | 0.8421          | 36.4738   | 36.6925 |
| 0.0001        | 142.86 | 2000 | 0.8636          | 35.4643   | 35.5943 |
| 0.0001        | 178.57 | 2500 | 0.8822          | 35.6662   | 35.7235 |
| 0.0           | 214.29 | 3000 | 0.8931          | 35.4643   | 35.7235 |
| 0.0           | 250.0  | 3500 | 0.9013          | 35.4643   | 35.7235 |
| 0.0           | 285.71 | 4000 | 0.9035          | 35.4643   | 35.7235 |


### Framework versions

- Transformers 4.32.0.dev0
- Pytorch 2.0.1+cu118
- Datasets 2.14.4
- Tokenizers 0.13.3