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distilhubert-finetuned-gtzan – AI Model by GCYY | AlphaNeural AI
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GCYY
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distilhubert-finetuned-gtzan
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transformers
pytorch
hubert
audio-classification
generated_from_trainer
marsyas/gtzan
GCYY/distilhubert-finetuned-gtzan
finetune
model-index
endpoints_compatible
us
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distilhubert-finetuned-gtzan
This model is a fine-tuned version of
GCYY/distilhubert-finetuned-gtzan
on the GTZAN dataset. It achieves the following results on the evaluation set:
Loss: 0.5957
Accuracy: 0.87
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: 16
eval_batch_size: 16
seed: 42
gradient_accumulation_steps: 2
total_train_batch_size: 32
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 4
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
0.1038
0.98
28
0.6014
0.85
0.0419
2.0
57
0.5057
0.87
0.0281
2.98
85
0.5905
0.87
0.0228
4.0
114
0.5957
0.87
Framework versions
Transformers 4.31.0
Pytorch 2.0.1+cu117
Datasets 2.14.4
Tokenizers 0.13.3
