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metadata
license: bsd-3-clause
base_model: MIT/ast-finetuned-audioset-10-10-0.4593
tags:
  - generated_from_trainer
metrics:
  - accuracy
model-index:
  - name: ast-finetuned-audioset-10-10-0.4593-finetuned-gunshot
    results: []

ast-finetuned-audioset-10-10-0.4593-finetuned-gunshot

This model is a fine-tuned version of MIT/ast-finetuned-audioset-10-10-0.4593 on the None dataset. It achieves the following results on the evaluation set:

  • Loss: 0.8955
  • Accuracy: 0.7647

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
0.771 1.0 341 1.4439 0.6294
3.4687 2.0 682 1.2804 0.6824
0.7887 3.0 1023 0.5085 0.7412
0.4093 4.0 1364 0.4299 0.7882
0.1765 5.0 1705 0.3885 0.8471
0.1055 6.0 2046 0.4319 0.7941
0.1341 7.0 2387 0.4773 0.8
0.0722 8.0 2728 0.8647 0.7412
0.156 9.0 3069 0.9191 0.7647
0.0377 10.0 3410 0.8955 0.7647

Framework versions

  • Transformers 4.36.0.dev0
  • Pytorch 2.0.0
  • Datasets 2.15.1.dev0
  • Tokenizers 0.15.0