hubert-base-ls960-finetuned-urbansound – AI Model by dlantonia | AlphaNeural AI

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dlantonia/
hubert-base-ls960-finetuned-urbansound

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audio-classification

generated_from_trainer

UrbanSounds/UrbanSoundsNew

facebook/hubert-base-ls960

endpoints_compatible

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hubert-base-ls960-finetuned-urbansound

This model is a fine-tuned version of facebook/hubert-base-ls960 on the urbansound dataset. It achieves the following results on the evaluation set:

Loss: 1.1907
Accuracy: 0.6087

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: 4
eval_batch_size: 4
seed: 42
optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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
2.133	1.0	50	2.1532	0.2609
2.0878	2.0	100	2.0094	0.3478
1.8873	3.0	150	1.8741	0.2609
1.6437	4.0	200	1.5861	0.4783
1.5457	5.0	250	1.4944	0.4783
1.181	6.0	300	1.4003	0.5217
1.2324	7.0	350	1.2538	0.5217
0.9965	8.0	400	1.1745	0.5217
1.26	9.0	450	1.1725	0.6087
1.0922	10.0	500	1.1907	0.6087

Framework versions

Transformers 4.48.3
Pytorch 2.5.1+cu124
Datasets 3.3.2
Tokenizers 0.21.0