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ft-hubert-on-gtzan – AI Model by comehope | AlphaNeural AI
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comehope
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ft-hubert-on-gtzan
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transformers
tensorboard
safetensors
hubert
audio-classification
generated_from_trainer
gtzan
ntu-spml/distilhubert
finetune
apache-2.0
endpoints_compatible
us
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ft-hubert-on-gtzan
This model is a fine-tuned version of
ntu-spml/distilhubert
on the gtzan dataset.
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: 2
eval_batch_size: 2
seed: 42
gradient_accumulation_steps: 4
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
training_steps: 100
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
No log
1.0
100
1.9054
0.445
Framework versions
Transformers 4.37.2
Pytorch 2.0.1+cu118
Datasets 2.17.0
Tokenizers 0.15.2
