| <!-- 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. --> | |
| # GenCaps-finetune-Musicgen-small | |
| This model is a fine-tuned version of [./GenCaps-finetune-Musicgen-small](https://huggingface.co/./GenCaps-finetune-Musicgen-small) on the CLAPV2/MUSICCAPS - DEFAULT dataset. | |
| It achieves the following results on the evaluation set: | |
| - Loss: 4.7031 | |
| - Clap: 0.1730 | |
| ## 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: 1e-05 | |
| - train_batch_size: 16 | |
| - eval_batch_size: 1 | |
| - seed: 456 | |
| - gradient_accumulation_steps: 8 | |
| - total_train_batch_size: 128 | |
| - optimizer: Use OptimizerNames.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: 310.0 | |
| - mixed_precision_training: Native AMP | |
| ### Training results | |
| ### Framework versions | |
| - PEFT 0.14.0 | |
| - Transformers 4.54.0.dev0 | |
| - Pytorch 2.6.0+cu124 | |
| - Datasets 3.6.0 | |
| - Tokenizers 0.21.1 |