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shreyahegde/
ast-finetuned-audioset-10-10-0.450_ESC50

Name: ast-finetuned-audioset-10-10-0.450_ESC50
Availability: InStock

transformers

tensorboard

safetensors

audio-spectrogram-transformer

audio-classification

generated_from_trainer

MIT/ast-finetuned-audioset-10-10-0.450

finetune

bsd-3-clause

endpoints_compatible

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ast-finetuned-audioset-10-10-0.450_ESC50

This model is a fine-tuned version of MIT/ast-finetuned-audioset-10-10-0.450 on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 0.2887
Accuracy: 0.9275

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: 1e-05
train_batch_size: 6
eval_batch_size: 6
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 24
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

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
2.7745	0.99	66	2.3340	0.605
0.7521	1.99	133	0.8978	0.8875
0.2307	3.0	200	0.5545	0.8975
0.0903	4.0	267	0.4063	0.925
0.03	4.99	333	0.3488	0.92
0.0123	5.99	400	0.2987	0.925
0.0101	7.0	467	0.2887	0.9275
0.0067	8.0	534	0.2808	0.9275
0.0055	8.99	600	0.2784	0.9275
0.0051	9.89	660	0.2778	0.9275

Framework versions

Transformers 4.39.3
Pytorch 2.2.1+cu121
Datasets 2.18.0
Tokenizers 0.15.2

shreyahegde/ast-finetuned-audioset-10-10-0.450_ESC50

ast-finetuned-audioset-10-10-0.450_ESC50

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

shreyahegde/
ast-finetuned-audioset-10-10-0.450_ESC50