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musicgen-melody-ravi
mclemcrew/musicgen-melody-ravi
musicgen-melody-ravi is a text-to-audio model from mclemcrew. Use it for the text-to-audio task on the model card, and read the license before you ship it in a product. It is set up for peft. The card lists the license as cc-by-nc-4.0.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Text-to-Audio
- Library
- peft
- License
- cc-by-nc-4.0
- Model type
- musicgen_melody
- Access
- Public
- Created
- Aug 21, 2025
- Updated
- Sep 1, 2025
- SHA
- 33d1f0b1
Base models
Model card
From the Hugging Face model README
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
musicgen-melody-ravi
This model is a fine-tuned version of facebook/musicgen-melody on the MCLEMCREW/MCLEMCREW_MUSIC_RAVI_V2 - DEFAULT dataset. It achieves the following results on the evaluation set:
- Loss: 5.9626
- Clap: 0.0693
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: 1
- seed: 42
- gradient_accumulation_steps: 8
- total_train_batch_size: 16
- optimizer: Adam with betas=(0.9,0.99) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 4
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Clap |
|---|---|---|---|---|
| 6.8838 | 3.0534 | 50 | 5.9572 | 0.0696 |
Framework versions
- PEFT 0.12.0
- Transformers 4.44.2
- Pytorch 2.4.1+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1
- Task
- Text-to-Audio
- Library
- peft
- Type
- musicgen_melody
- License
- cc-by-nc-4.0
- Created
- Aug 21, 2025
- Updated
- Sep 1, 2025