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fine-tuned-gtzan – AI Model by ernlavr | AlphaNeural AI
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ernlavr
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fine-tuned-gtzan
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transformers
safetensors
hubert
audio-classification
generated_from_trainer
gtzan
ntu-spml/distilhubert
finetune
apache-2.0
model-index
endpoints_compatible
us
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fine-tuned-gtzan
This model is a fine-tuned version of
ntu-spml/distilhubert
on the gtzan dataset. It achieves the following results on the evaluation set:
Loss: 1.8103
Accuracy: 0.53
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
gradient_accumulation_steps: 2
total_train_batch_size: 8
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_ratio: 0.1
num_epochs: 1
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
1.9046
1.0
112
1.8103
0.53
Framework versions
Transformers 4.37.2
Pytorch 2.1.0+cu121
Datasets 2.17.1
Tokenizers 0.15.2
