---
library_name: transformers
license: apache-2.0
base_model: openai/whisper-base
tags:
- generated_from_trainer
metrics:
- wer
model-index:
- name: dysarthria-base
  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-base

This model is a fine-tuned version of [openai/whisper-base](https://huggingface.co/openai/whisper-base) on an dysarthria dataset.
It achieves the following results on the evaluation set:
- Loss: 0.2523
- Wer: 109.4374
- Cer: 72.5101

## 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     |
|:-------------:|:--------:|:----:|:---------------:|:--------:|:-------:|
| 0.0039        | 13.5135  | 500  | 0.3016          | 86.2069  | 60.2961 |
| 0.0003        | 27.0270  | 1000 | 0.2616          | 86.5699  | 65.8816 |
| 0.0001        | 40.5405  | 1500 | 0.2577          | 79.8548  | 63.3580 |
| 0.0001        | 54.0541  | 2000 | 0.2565          | 119.6007 | 78.6003 |
| 0.0001        | 67.5676  | 2500 | 0.2549          | 122.6860 | 80.0471 |
| 0.0001        | 81.0811  | 3000 | 0.2539          | 122.6860 | 80.0808 |
| 0.0           | 94.5946  | 3500 | 0.2533          | 117.7858 | 77.2207 |
| 0.0           | 108.1081 | 4000 | 0.2527          | 112.7042 | 74.8654 |
| 0.0           | 121.6216 | 4500 | 0.2523          | 109.4374 | 72.5774 |
| 0.0           | 135.1351 | 5000 | 0.2523          | 109.4374 | 72.5101 |


### Framework versions

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