distilhubert-finetuned-hoons_music – AI Model by Hoonvolution | AlphaNeural AI

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Hoonvolution/
distilhubert-finetuned-hoons_music

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audio-classification

generated_from_trainer

Hoonvolution/hoons_music_data

ntu-spml/distilhubert

endpoints_compatible

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distilhubert-finetuned-hoon_music

This model is a fine-tuned version of ntu-spml/distilhubert on the Hoons music data dataset. It achieves the following results on the evaluation set:

Loss: 0.7307
Accuracy: 0.8438

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: 5e-05
train_batch_size: 8
eval_batch_size: 8
seed: 42
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
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
1.6265	1.0	298	1.7652	0.3792
0.9028	2.0	596	1.0772	0.6479
0.3958	3.0	894	0.7857	0.7812
0.2335	4.0	1192	0.5601	0.8521
0.1384	5.0	1490	0.8042	0.8229
0.0517	6.0	1788	0.7031	0.85
0.0025	7.0	2086	0.7261	0.8479
0.0018	8.0	2384	0.7103	0.85
0.0015	9.0	2682	0.7329	0.8458
0.0015	10.0	2980	0.7307	0.8438

Framework versions

Transformers 4.45.0.dev0
Pytorch 2.4.0+cu121
Datasets 2.21.0
Tokenizers 0.19.1