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README.md
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---
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license: cc-by-nc-4.0
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library_name: peft
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tags:
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- generated_from_trainer
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base_model: facebook/musicgen-melody
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model-index:
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- name: musicgen-melody-lora-punk3
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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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[<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="200" height="32"/>](https://wandb.ai/229461195/huggingface/runs/g6lom3x4)
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# musicgen-melody-lora-punk3
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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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It achieves the following results on the evaluation set:
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- Loss: 7.8930
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- Clap: 0.0111
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## Model description
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More information needed
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## Intended uses & limitations
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More information needed
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## Training and evaluation data
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More information needed
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## Training procedure
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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate: 0.0002
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- train_batch_size: 2
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- eval_batch_size: 1
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- seed: 456
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- gradient_accumulation_steps: 8
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- total_train_batch_size: 16
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- optimizer: Adam with betas=(0.9,0.99) and epsilon=1e-08
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- lr_scheduler_type: linear
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- num_epochs: 4.0
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- mixed_precision_training: Native AMP
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Clap |
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|:-------------:|:------:|:----:|:---------------:|:------:|
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| 6.5295 | 3.2787 | 25 | 7.8930 | 0.0111 |
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### Framework versions
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- PEFT 0.11.1
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- Transformers 4.42.0.dev0
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- Pytorch 2.3.0+cu121
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- Datasets 2.19.1
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- Tokenizers 0.19.1
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