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genre-recognizer-finetuned-gtzan_dset-finetuned-gtzan – AI Model by carolinaallende | AlphaNeural AI
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carolinaallende
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genre-recognizer-finetuned-gtzan_dset-finetuned-gtzan
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transformers
tensorboard
safetensors
hubert
audio-classification
generated_from_trainer
marsyas/gtzan
pedromatias97/genre-recognizer-finetuned-gtzan_dset
finetune
apache-2.0
model-index
endpoints_compatible
us
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genre-recognizer-finetuned-gtzan_dset_caro-finetuned-gtzan
This model is a fine-tuned version of
pedromatias97/genre-recognizer-finetuned-gtzan_dset
on the GTZAN dataset. It achieves the following results on the evaluation set:
Loss: 0.1865
Accuracy: 0.95
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: 9e-05
train_batch_size: 4
eval_batch_size: 4
seed: 39
gradient_accumulation_steps: 16
total_train_batch_size: 64
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_ratio: 0.1
num_epochs: 2
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
0.3175
0.9956
14
0.2027
0.93
0.1676
1.9911
28
0.1865
0.95
Framework versions
Transformers 4.41.2
Pytorch 2.3.0+cu121
Datasets 2.19.2
Tokenizers 0.19.1
