---
library_name: transformers
license: apache-2.0
base_model: openai/whisper-tiny.en
tags:
- generated_from_trainer
metrics:
- wer
model-index:
- name: dysarthria-tiny-en
  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. -->

# dysarthria-tiny-en

This model is a fine-tuned version of [openai/whisper-tiny.en](https://huggingface.co/openai/whisper-tiny.en) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.2870
- Wer: 52.8131
- Cer: 36.9112

## 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: 5000
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch    | Step | Validation Loss | Wer      | Cer      |
|:-------------:|:--------:|:----:|:---------------:|:--------:|:--------:|
| 0.0255        | 13.5135  | 500  | 0.4034          | 199.4555 | 178.1629 |
| 0.0005        | 27.0270  | 1000 | 0.2994          | 17.9673  | 11.4738  |
| 0.0002        | 40.5405  | 1500 | 0.2941          | 17.2414  | 11.1373  |
| 0.0002        | 54.0541  | 2000 | 0.2917          | 16.6969  | 10.7672  |
| 0.0001        | 67.5676  | 2500 | 0.2892          | 15.9710  | 10.3634  |
| 0.0001        | 81.0811  | 3000 | 0.2886          | 53.7205  | 37.3486  |
| 0.0001        | 94.5946  | 3500 | 0.2882          | 53.1760  | 37.2813  |
| 0.0001        | 108.1081 | 4000 | 0.2881          | 53.1760  | 37.3486  |
| 0.0001        | 121.6216 | 4500 | 0.2870          | 52.8131  | 36.9112  |
| 0.0           | 135.1351 | 5000 | 0.2870          | 52.8131  | 36.9112  |


### Framework versions

- Transformers 4.45.1
- Pytorch 2.4.1+cu121
- Datasets 3.0.1
- Tokenizers 0.20.0