---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- PolyAI/minds14
metrics:
- wer
model-index:
- name: Whisper Tiny
  results:
  - task:
      name: Automatic Speech Recognition
      type: automatic-speech-recognition
    dataset:
      name: Minds 14
      type: PolyAI/minds14
      config: en-US
      split: train
      args: en-US
    metrics:
    - name: Wer
      type: wer
      value: 0.333530106257379
---

<!-- 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

This model is a fine-tuned version of [openai/whisper-tiny](https://huggingface.co/openai/whisper-tiny) on the Minds 14 dataset.
It achieves the following results on the evaluation set:
- Loss: 0.6262
- Wer Ortho: 0.3455
- Wer: 0.3335

## 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: 2e-05
- train_batch_size: 32
- eval_batch_size: 32
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 10

### Training results

| Training Loss | Epoch | Step | Validation Loss | Wer Ortho | Wer    |
|:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|
| 3.7423        | 1.0   | 15   | 2.9584          | 0.5275    | 0.4079 |
| 0.5112        | 2.0   | 30   | 0.7722          | 0.4022    | 0.3731 |
| 0.2542        | 3.0   | 45   | 0.6002          | 0.3837    | 0.3619 |
| 0.1196        | 4.0   | 60   | 0.5739          | 0.3492    | 0.3294 |
| 0.0214        | 5.0   | 75   | 0.5843          | 0.3652    | 0.3542 |
| 0.0659        | 6.0   | 90   | 0.6047          | 0.3418    | 0.3282 |
| 0.0322        | 7.0   | 105  | 0.6134          | 0.3560    | 0.3424 |
| 0.0049        | 8.0   | 120  | 0.6180          | 0.3553    | 0.3406 |
| 0.0348        | 9.0   | 135  | 0.6242          | 0.3442    | 0.3323 |
| 0.1332        | 10.0  | 150  | 0.6262          | 0.3455    | 0.3335 |


### Framework versions

- Transformers 4.31.0.dev0
- Pytorch 1.13.1
- Datasets 2.13.1
- Tokenizers 0.13.2