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minoosh/
AST-finetuned-on-shEMO_speech

Name: AST-finetuned-on-shEMO_speech
Rating: 2.5 (6 reviews)

transformers

pytorch

audio-spectrogram-transformer

audio-classification

generated_from_trainer

MIT/ast-finetuned-audioset-10-10-0.4593

finetune

endpoints_compatible

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AST-finetuned-on-shEMO_speech

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

Loss: 0.6988
Accuracy: 0.7967

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: 8
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 32
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_ratio: 0.1
num_epochs: 15

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
0.8657	1.0	75	0.7066	0.7867
0.6951	2.0	150	0.6622	0.7567
0.3368	3.0	225	0.5851	0.8433
0.1414	4.0	300	0.7233	0.79
0.1011	5.0	375	0.8763	0.7967
0.0438	6.0	450	0.9009	0.8067
0.0108	7.0	525	1.0540	0.83
0.0033	8.0	600	1.0177	0.81
0.0003	9.0	675	1.1074	0.84
0.0113	10.0	750	1.1107	0.8433
0.0002	11.0	825	1.1273	0.8367
0.0001	12.0	900	1.1634	0.8333
0.0001	13.0	975	1.1502	0.84
0.0045	14.0	1050	1.1541	0.84
0.0039	15.0	1125	1.1550	0.84

Framework versions

Transformers 4.34.1
Pytorch 1.12.0+cu116
Datasets 2.14.6
Tokenizers 0.14.1

minoosh/AST-finetuned-on-shEMO_speech

AST-finetuned-on-shEMO_speech

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

minoosh/
AST-finetuned-on-shEMO_speech