punk-music-test

This model is a fine-tuned version of facebook/musicgen-large on the YLACOMBE/TINY-PUNK - DEFAULT dataset. It achieves the following results on the evaluation set:

• Loss: 4.6589
• Clap: 0.0487

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: 0.0001
• train_batch_size: 4
• eval_batch_size: 1
• seed: 123
• gradient_accumulation_steps: 4
• total_train_batch_size: 16
• optimizer: Adam with betas=(0.9,0.99) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 8.0
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Clap
8.875	0.8571	3	4.4074	0.0678
8.7074	2.0	7	4.4241	0.0586
8.6372	2.8571	10	4.4617	0.0704
8.5145	4.0	14	4.5377	0.0566
8.4215	4.8571	17	4.5900	0.0567
8.4121	6.0	21	4.6385	0.0320
8.377	6.8571	24	4.6589	0.0539

Framework versions

• PEFT 0.11.1
• Transformers 4.42.0.dev0
• Pytorch 2.1.0+cu118
• Datasets 2.20.0
• Tokenizers 0.19.1