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distilhubert-finetuned-gtzan-se-finetuned-gtzan-se-2-2-2 – AI Model by sveyek | AlphaNeural AI
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sveyek
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distilhubert-finetuned-gtzan-se-finetuned-gtzan-se-2-2-2
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transformers
tensorboard
safetensors
hubert
audio-classification
generated_from_trainer
marsyas/gtzan
sveyek/distilhubert-finetuned-gtzan-se-finetuned-gtzan-se-2-2
finetune
apache-2.0
model-index
endpoints_compatible
us
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distilhubert-finetuned-gtzan-se-finetuned-gtzan-se-2-2-finetuned-gtzan
This model is a fine-tuned version of
sveyek/distilhubert-finetuned-gtzan-se-finetuned-gtzan-se-2-2
on the GTZAN dataset. It achieves the following results on the evaluation set:
Loss: 0.8689
Accuracy: 0.86
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: 1e-05
train_batch_size: 4
eval_batch_size: 4
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 16
optimizer: Use 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: 0.2
num_epochs: 1
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
0.0596
0.9956
56
0.8689
0.86
Framework versions
Transformers 4.46.2
Pytorch 2.5.1+cu121
Datasets 3.1.0
Tokenizers 0.20.3
