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distilhubert-finetuned-gtzan – AI Model by zennyx | AlphaNeural AI
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zennyx
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distilhubert-finetuned-gtzan
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pytorch
hubert
generated_from_trainer
marsyas/gtzan
sanchit-gandhi/distilhubert-finetuned-gtzan
finetune
apache-2.0
model-index
us
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distilhubert-finetuned-gtzan
This model is a fine-tuned version of
sanchit-gandhi/distilhubert-finetuned-gtzan
on the GTZAN dataset. It achieves the following results on the evaluation set:
Loss: 2.1780
Accuracy: 0.2
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: 5
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
2.2933
0.92
6
2.2317
0.2
2.2574
2.0
13
2.2160
0.2
2.2
2.92
19
2.1979
0.2
2.1631
4.0
26
2.1831
0.2
2.151
4.62
30
2.1780
0.2
Framework versions
Transformers 4.32.0
Pytorch 2.8.0+cu128
Datasets 3.4.1
Tokenizers 0.13.3
