README.md

metadata

base_model: wetdog/TUT-urban-acoustic-scenes-2018-development-16bit
tags:
  - audio-classification
  - generated_from_trainer
datasets:
  - acoustic-scenes
metrics:
  - accuracy
model-index:
  - name: ast-finetuned-audioset-10-10-0.4593-TUT-acoustic-scenes
    results:
      - task:
          name: Audio Classification
          type: audio-classification
        dataset:
          name: TUT-urban-acoustic-scenes-2018-development-16bit
          type: acoustic-scenes
          args: 'split: train'
        metrics:
          - name: Accuracy
            type: accuracy
            value: 0.715647339158062

ast-finetuned-audioset-10-10-0.4593-TUT-acoustic-scenes

This model is a fine-tuned version of wetdog/TUT-urban-acoustic-scenes-2018-development-16bit on the TUT-urban-acoustic-scenes-2018-development-16bit dataset. It achieves the following results on the evaluation set:

• Loss: 0.8055
• Accuracy: 0.7156

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: 3e-06
• train_batch_size: 16
• eval_batch_size: 16
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• lr_scheduler_warmup_steps: 50
• training_steps: 1000

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
0.4664	1.12	500	1.3147	0.6136
0.6605	2.23	1000	0.8055	0.7156

Framework versions

• Transformers 4.33.2
• Pytorch 2.0.1+cu118
• Datasets 2.14.5
• Tokenizers 0.13.3