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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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- text-to-audio |
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- sweet-dreambooths/combined-artists-v1 |
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- generated_from_trainer |
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base_model: facebook/musicgen-melody-large |
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model-index: |
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- name: combined-artists-text-only-3-epochs |
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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/sanchit-gandhi/black-eyed-peas/runs/mbvcb2wa) |
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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/sanchit-gandhi/black-eyed-peas/runs/mbvcb2wa) |
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# combined-artists-text-only-3-epochs |
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This model is a fine-tuned version of [facebook/musicgen-melody-large](https://huggingface.co/facebook/musicgen-melody-large) on the SWEET-DREAMBOOTHS/COMBINED-ARTISTS-V1 - DEFAULT dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 5.1016 |
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- Text Cosine Sim: 0.0961 |
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- Audio Cosine Sim: 0.3267 |
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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: 3e-05 |
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- train_batch_size: 16 |
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- eval_batch_size: 4 |
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- seed: 456 |
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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: 3.0 |
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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 | Text Cosine Sim | Audio Cosine Sim | |
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|:-------------:|:-----:|:----:|:---------------:|:---------------:|:----------------:| |
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| 7.174 | 1.0 | 99 | 4.9214 | 0.1636 | 0.3831 | |
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| 6.7947 | 2.0 | 198 | 5.0773 | 0.1509 | 0.3747 | |
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| 7.1508 | 3.0 | 297 | 5.1016 | 0.1181 | 0.3217 | |
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### Framework versions |
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- PEFT 0.10.0 |
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- Transformers 4.41.0.dev0 |
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- Pytorch 2.1.2+cu121 |
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- Datasets 2.19.2.dev0 |
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- Tokenizers 0.19.1 |
