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xpariz10/
ast-finetuned-audioset-10-10-0.4593-finetuning-ESC-50

Name: ast-finetuned-audioset-10-10-0.4593-finetuning-ESC-50
Availability: InStock

transformers

pytorch

audio-spectrogram-transformer

audio-classification

generated_from_trainer

bsd-3-clause

endpoints_compatible

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ast-finetuned-audioset-10-10-0.4593-finetuning-ESC-50

This model is a fine-tuned version of MIT/ast-finetuned-audioset-10-10-0.4593 on the ESC-50 dataset. It achieves the following results on the evaluation set:

Loss: 0.3356
Accuracy: 0.9464

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-05
train_batch_size: 2
eval_batch_size: 2
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 8
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_ratio: 0.1
num_epochs: 5

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
2.0621	1.0	28	0.4656	0.875
0.0694	2.0	56	0.3050	0.9107
0.0157	3.0	84	0.3356	0.9464
0.0038	4.0	112	0.3175	0.9286
0.0011	5.0	140	0.2579	0.9286

Framework versions

Transformers 4.26.0.dev0
Pytorch 1.13.0+cu117
Datasets 2.7.1
Tokenizers 0.13.2

xpariz10/ast-finetuned-audioset-10-10-0.4593-finetuning-ESC-50

ast-finetuned-audioset-10-10-0.4593-finetuning-ESC-50

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

xpariz10/
ast-finetuned-audioset-10-10-0.4593-finetuning-ESC-50