---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- wer
model-index:
- name: whisper-tiny-minds-v1
  results: []
---

<!-- 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-minds-v1

This model is a fine-tuned version of [openai/whisper-tiny](https://huggingface.co/openai/whisper-tiny) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.7887
- Wer Ortho: 0.4046
- Wer: 0.3804

## 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: 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: 2000

### Training results

| Training Loss | Epoch | Step | Validation Loss | Wer Ortho | Wer    |
|:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|
| 1.7167        | 3.57  | 100  | 1.3603          | 0.5324    | 0.4132 |
| 0.3753        | 7.14  | 200  | 0.5665          | 0.4695    | 0.3894 |
| 0.1274        | 10.71 | 300  | 0.5589          | 0.4626    | 0.3912 |
| 0.0207        | 14.29 | 400  | 0.6216          | 0.4327    | 0.3834 |
| 0.0045        | 17.86 | 500  | 0.6684          | 0.4121    | 0.3697 |
| 0.0017        | 21.43 | 600  | 0.7018          | 0.4171    | 0.3792 |
| 0.0009        | 25.0  | 700  | 0.7218          | 0.4239    | 0.3876 |
| 0.0007        | 28.57 | 800  | 0.7272          | 0.4102    | 0.3781 |
| 0.0005        | 32.14 | 900  | 0.7427          | 0.4077    | 0.3787 |
| 0.0004        | 35.71 | 1000 | 0.7512          | 0.4077    | 0.3787 |
| 0.0004        | 39.29 | 1100 | 0.7573          | 0.4034    | 0.3757 |
| 0.0003        | 42.86 | 1200 | 0.7650          | 0.4027    | 0.3751 |
| 0.0003        | 46.43 | 1300 | 0.7714          | 0.4059    | 0.3769 |
| 0.0002        | 50.0  | 1400 | 0.7759          | 0.4052    | 0.3775 |
| 0.0002        | 53.57 | 1500 | 0.7796          | 0.4077    | 0.3798 |
| 0.0002        | 57.14 | 1600 | 0.7831          | 0.4046    | 0.3798 |
| 0.0002        | 60.71 | 1700 | 0.7858          | 0.4040    | 0.3792 |
| 0.0002        | 64.29 | 1800 | 0.7873          | 0.4040    | 0.3792 |
| 0.0002        | 67.86 | 1900 | 0.7883          | 0.4034    | 0.3792 |
| 0.0002        | 71.43 | 2000 | 0.7887          | 0.4046    | 0.3804 |


### Framework versions

- Transformers 4.30.2
- Pytorch 2.0.1+cu118
- Datasets 2.13.1
- Tokenizers 0.13.3