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+ ---
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+ base_model:
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+ - facebook/musicgen-small
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+ ---
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+
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+ <!-- This model card has been generated automatically according to the information the Trainer had access to. You
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+ should probably proofread and complete it, then remove this comment. -->
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+
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+ # GenCaps-finetune-Musicgen-small
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+
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+ This model is a fine-tuned version of [./GenCaps-finetune-Musicgen-small](https://huggingface.co/./GenCaps-finetune-Musicgen-small) on the CLAPV2/MUSICCAPS - DEFAULT dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 3.0953
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+ - Clap: 0.3335
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+
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+ ## Model description
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+
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+ More information needed
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+
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+ ## Intended uses & limitations
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+
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+ More information needed
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+
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+ ## Training and evaluation data
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+
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+ More information needed
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+
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+ ## Training procedure
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+
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+ ### Training hyperparameters
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+
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+ The following hyperparameters were used during training:
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+ - learning_rate: 1e-05
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+ - train_batch_size: 16
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+ - eval_batch_size: 8
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+ - seed: 456
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+ - gradient_accumulation_steps: 8
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+ - total_train_batch_size: 128
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+ - optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.99) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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+ - lr_scheduler_type: linear
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+ - num_epochs: 500.0
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+ - mixed_precision_training: Native AMP
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+
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+ ### Training results
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+
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.54.0.dev0
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+ - Pytorch 2.6.0+cu124
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+ - Datasets 3.6.0
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+ - Tokenizers 0.21.1