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distil-medium.en-dysarthia-non-dysathira-detection-fm
ManyaGupta/distil-medium.en-dysarthia-non-dysathira-detection-fm
distil-medium.en-dysarthia-non-dysathira-detection-fm is a audio classification model from ManyaGupta. Use it for the audio classification task on the model card, and read the license before you ship it in a product. It is set up for transformers. The card lists the license as mit.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Audio Classification
- Library
- transformers
- License
- mit
- Model type
- whisper
- Access
- Public
- Created
- May 11, 2024
- Updated
- May 11, 2024
- SHA
- 4bbd2984
Base models
Datasets
Model card
From the Hugging Face model README
<!-- 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 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
- Task
- Audio Classification
- Library
- transformers
- Type
- whisper
- License
- mit
- Created
- May 11, 2024
- Updated
- May 11, 2024