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# pd-diagnosis-model-reading

This model was trained from scratch on the audiofolder dataset.
It achieves the following results on the evaluation set:
- eval_loss: 0.3800
- eval_accuracy: 0.9130
- eval_runtime: 40.2767
- eval_samples_per_second: 2.855
- eval_steps_per_second: 1.44
- epoch: 1.0
- step: 116

## 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: 4
- 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: 0.01
- num_epochs: 1

### Framework versions

- Transformers 4.37.2
- Pytorch 2.1.1
- Datasets 2.16.1
- Tokenizers 0.15.0

{"tags": ["generated_from_trainer"], "datasets": ["audiofolder"], "model-index": [{"name": "pd-diagnosis-model-reading", "results": []}]}
transformers tensorboard safetensors whisper audio-classification generated_from_trainer dataset:audiofolder endpoints_compatible region:us