Hubert_emotion-finetuned-gtzan-efficient – AI Model by derek-thomas | AlphaNeural AI

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derek-thomas/
Hubert_emotion-finetuned-gtzan-efficient

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audio-classification

generated_from_trainer

Rajaram1996/Hubert_emotion

endpoints_compatible

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Hubert_emotion-finetuned-gtzan-efficient

This model is a fine-tuned version of Rajaram1996/Hubert_emotion on the GTZAN dataset. It achieves the following results on the evaluation set:

Loss: 1.2341
Accuracy: 0.65

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: 100

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
2.2127	1.0	113	2.2191	0.25
1.9102	2.0	226	2.0018	0.37
1.7139	3.0	339	1.7588	0.4
1.5825	4.0	452	1.5608	0.41
1.1426	5.0	565	1.4300	0.5
1.8976	6.0	678	1.1726	0.56
0.9303	7.0	791	1.1559	0.56
0.8845	8.0	904	1.1501	0.65
0.2069	9.0	1017	1.2055	0.58
1.9863	10.0	1130	1.0804	0.62
2.0317	11.0	1243	1.2341	0.65

Framework versions

Transformers 4.30.2
Pytorch 2.1.0.dev20230627+cu121
Datasets 2.13.1
Tokenizers 0.13.3