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  1. README.md +5 -7
README.md CHANGED
@@ -3,20 +3,18 @@ library_name: peft
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  license: cc-by-nc-4.0
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  base_model: facebook/musicgen-melody
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  tags:
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- - text-to-audio
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- - dnb
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  - generated_from_trainer
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  model-index:
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- - name: musicgen-melody-lora-dnb-colab-gs-3-lr-0.0001
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  results: []
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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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- # musicgen-melody-lora-dnb-colab-gs-3-lr-0.0001
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- This model is a fine-tuned version of [facebook/musicgen-melody](https://huggingface.co/facebook/musicgen-melody) on the istvanj/ncs-dnb dataset.
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  ## Model description
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@@ -35,7 +33,7 @@ More information needed
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  ### Training hyperparameters
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  The following hyperparameters were used during training:
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- - learning_rate: 0.0001
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  - train_batch_size: 2
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  - eval_batch_size: 8
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  - seed: 42
@@ -43,7 +41,7 @@ The following hyperparameters were used during training:
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  - total_train_batch_size: 16
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  - optimizer: Use 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: 3
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  - mixed_precision_training: Native AMP
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  ### Training results
 
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  license: cc-by-nc-4.0
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  base_model: facebook/musicgen-melody
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  tags:
 
 
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  - generated_from_trainer
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  model-index:
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+ - name: musicgen-melody-lora-dnb-colab-gs-8-lr-1e-05
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  results: []
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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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+ # musicgen-melody-lora-dnb-colab-gs-8-lr-1e-05
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+ This model is a fine-tuned version of [facebook/musicgen-melody](https://huggingface.co/facebook/musicgen-melody) on an unknown dataset.
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  ## Model description
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  ### Training hyperparameters
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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: 2
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  - eval_batch_size: 8
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  - seed: 42
 
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  - total_train_batch_size: 16
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  - optimizer: Use 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: 8
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  - mixed_precision_training: Native AMP
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  ### Training results