README.md

metadata

tags:
  - generated_from_trainer
datasets:
  - audiofolder
metrics:
  - accuracy
model-index:
  - name: pd-diagnosis-model-reading-600
    results:
      - task:
          name: Audio Classification
          type: audio-classification
        dataset:
          name: audiofolder
          type: audiofolder
          config: default
          split: test+validation
          args: default
        metrics:
          - name: Accuracy
            type: accuracy
            value: 0.9560439560439561

pd-diagnosis-model-reading-600

This model was trained from scratch on the audiofolder dataset. It achieves the following results on the evaluation set:

• Loss: 0.2060
• Accuracy: 0.9560

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: 0.001
• num_epochs: 1

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
0.1412	1.0	116	0.2060	0.9560

Framework versions

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