music_class – AI Model by asutosh09 | AlphaNeural AI

You can deploy this model and start earning money today!

asutosh09/
music_class

like

0

audio-classification

generated_from_trainer

openai/whisper-medium.en

endpoints_compatible

Views

No views yet

whisper-medium.en-finetuned-gtzan

This model is a fine-tuned version of openai/whisper-medium.en on the GTZAN dataset. It achieves the following results on the evaluation set:

Loss: 0.2885
Accuracy: 0.95

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: 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: 16
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
1.7711	1.0	112	1.6556	0.52
0.5477	2.0	225	0.4738	0.85
0.535	3.0	337	0.3137	0.92
0.231	4.0	450	0.3613	0.9
0.1923	5.0	562	0.2885	0.95
0.0584	6.0	675	0.6531	0.86
0.1783	7.0	787	0.5717	0.9
0.0022	8.0	900	0.4205	0.91
0.1032	9.0	1012	0.4984	0.91
0.0011	10.0	1125	0.3778	0.94
0.0104	11.0	1237	0.3709	0.94
0.0011	12.0	1350	0.4564	0.92
0.0009	13.0	1462	0.3796	0.94
0.0008	14.0	1575	0.3880	0.94
0.0008	15.0	1687	0.3930	0.94
0.0008	15.93	1792	0.3955	0.94

Framework versions

Transformers 4.37.0.dev0
Pytorch 2.1.2+cu118
Datasets 2.15.0
Tokenizers 0.15.0