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musicgen-melody-eurovision – AI Model by rpechuk | AlphaNeural AI
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rpechuk
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musicgen-melody-eurovision
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peft
safetensors
text-to-audio
eurovision
generated_from_trainer
facebook/musicgen-melody
adapter
cc-by-nc-4.0
us
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musicgen-melody-eurovision
This model is a fine-tuned version of
facebook/musicgen-melody
on the rpechuk/eurovision_audio_small 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: 0.0002
train_batch_size: 2
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 8
total_train_batch_size: 16
optimizer: Use adamw_torch with betas=(0.9,0.99) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
num_epochs: 4
mixed_precision_training: Native AMP
Training results
Framework versions
PEFT 0.13.2
Transformers 4.46.3
Pytorch 2.1.2+cu121
Datasets 3.1.0
Tokenizers 0.20.3
