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distilhubert-ft-keyword-spotting-finetuned-gtzan – AI Model by PawanKrGunjan | AlphaNeural AI
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PawanKrGunjan
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distilhubert-ft-keyword-spotting-finetuned-gtzan
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transformers
pytorch
hubert
audio-classification
generated_from_trainer
marsyas/gtzan
anton-l/distilhubert-ft-keyword-spotting
finetune
apache-2.0
model-index
endpoints_compatible
us
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distilhubert-ft-keyword-spotting-finetuned-gtzan
This model is a fine-tuned version of
anton-l/distilhubert-ft-keyword-spotting
on the GTZAN dataset. It achieves the following results on the evaluation set:
Loss: 0.8447
Accuracy: 0.75
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: 3
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
1.563
1.0
113
1.3582
0.64
0.9967
2.0
226
0.9973
0.72
0.872
3.0
339
0.8447
0.75
Framework versions
Transformers 4.32.1
Pytorch 2.0.1+cu118
Datasets 2.14.4
Tokenizers 0.13.3
