|
--- |
|
license: mit |
|
base_model: distil-whisper/distil-medium.en |
|
tags: |
|
- generated_from_trainer |
|
datasets: |
|
- dysarthria |
|
metrics: |
|
- accuracy |
|
model-index: |
|
- name: distil-medium.en-dysarthia-non-dysathira-detection-fm |
|
results: |
|
- task: |
|
name: Audio Classification |
|
type: audio-classification |
|
dataset: |
|
name: Dysarthria |
|
type: dysarthria |
|
config: default |
|
split: train |
|
args: default |
|
metrics: |
|
- name: Accuracy |
|
type: accuracy |
|
value: 0.975 |
|
--- |
|
|
|
<!-- 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. --> |
|
|
|
# distil-medium.en-dysarthia-non-dysathira-detection-fm |
|
|
|
This model is a fine-tuned version of [distil-whisper/distil-medium.en](https://huggingface.co/distil-whisper/distil-medium.en) on the Dysarthria dataset. |
|
It achieves the following results on the evaluation set: |
|
- Loss: 0.1593 |
|
- Accuracy: 0.975 |
|
|
|
## 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: 5e-05 |
|
- train_batch_size: 2 |
|
- eval_batch_size: 2 |
|
- seed: 42 |
|
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
|
- lr_scheduler_type: linear |
|
- lr_scheduler_warmup_ratio: 0.1 |
|
- num_epochs: 10 |
|
- mixed_precision_training: Native AMP |
|
|
|
### Training results |
|
|
|
| Training Loss | Epoch | Step | Validation Loss | Accuracy | |
|
|:-------------:|:-----:|:----:|:---------------:|:--------:| |
|
| 0.875 | 1.0 | 160 | 0.4243 | 0.8875 | |
|
| 0.0264 | 2.0 | 320 | 1.2160 | 0.8125 | |
|
| 0.0115 | 3.0 | 480 | 0.2111 | 0.95 | |
|
| 0.3632 | 4.0 | 640 | 0.1856 | 0.975 | |
|
| 0.0933 | 5.0 | 800 | 0.7655 | 0.9 | |
|
| 0.0003 | 6.0 | 960 | 0.6221 | 0.9 | |
|
| 0.0001 | 7.0 | 1120 | 0.1163 | 0.9875 | |
|
| 0.0001 | 8.0 | 1280 | 0.3188 | 0.95 | |
|
| 0.0001 | 9.0 | 1440 | 0.1662 | 0.975 | |
|
| 0.0001 | 10.0 | 1600 | 0.1593 | 0.975 | |
|
|
|
|
|
### Framework versions |
|
|
|
- Transformers 4.41.0.dev0 |
|
- Pytorch 2.2.1+cu121 |
|
- Datasets 2.19.1 |
|
- Tokenizers 0.19.1 |
|
|
