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---
library_name: peft
license: cc-by-nc-4.0
base_model: facebook/musicgen-melody
tags:
- base_model:adapter:facebook/musicgen-melody
- lora
- transformers
datasets:
- arrow
model-index:
- name: musicgen-melody-lora-piano
results: []
---
<!-- 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-lora-piano
This model is a fine-tuned version of [facebook/musicgen-melody](https://huggingface.co/facebook/musicgen-melody) on the CCMUSIC-DATABASE/PIANOS - NA dataset.
It achieves the following results on the evaluation set:
- Loss: 3.8832
- Clap: 0.1291
## 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: Use adamw_torch with betas=(0.9,0.99) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 4.0
- mixed_precision_training: Native AMP
### Training results
### Framework versions
- PEFT 0.17.0
- Transformers 4.55.2
- Pytorch 2.7.1+cu126
- Datasets 3.6.0
- Tokenizers 0.21.4 |