sewd_classifier – AI Model by fydhfzh | AlphaNeural AI

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fydhfzh/
sewd_classifier

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audio-classification

generated_from_trainer

asapp/sew-d-tiny-100k-ft-ls100h

endpoints_compatible

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sewd_classifier

This model is a fine-tuned version of asapp/sew-d-tiny-100k-ft-ls100h on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 3.2176
Accuracy: 0.1578
Precision: 0.1069
Recall: 0.1578
F1: 0.1011
Binary: 0.4046

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: 32
eval_batch_size: 32
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 128
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 10
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	Precision	Recall	F1	Binary
No log	0.86	50	4.3363	0.0340	0.0127	0.0340	0.0089	0.2745
4.403	1.72	100	4.0500	0.0364	0.0076	0.0364	0.0100	0.3073
4.1865	2.59	150	3.8094	0.0631	0.0352	0.0631	0.0271	0.3354
3.9457	3.45	200	3.6427	0.0777	0.0356	0.0777	0.0312	0.3507
3.791	4.31	250	3.5282	0.0947	0.0376	0.0947	0.0368	0.3604
3.6663	5.17	300	3.4610	0.1044	0.0790	0.1044	0.0529	0.3636
3.5798	6.03	350	3.3702	0.1238	0.0834	0.1238	0.0783	0.3801
3.5798	6.9	400	3.3180	0.1383	0.0987	0.1383	0.0915	0.3917
3.5087	7.76	450	3.2698	0.1578	0.1113	0.1578	0.1070	0.4046
3.4575	8.62	500	3.2399	0.1699	0.1264	0.1699	0.1176	0.4124
3.4108	9.48	550	3.2176	0.1578	0.1069	0.1578	0.1011	0.4046

Framework versions

Transformers 4.38.2
Pytorch 2.3.0
Datasets 2.19.1
Tokenizers 0.15.1