salami_truncsplit_dora_model

This model is a fine-tuned version of facebook/musicgen-small on the TAUFIQSYED/SALAMI_CLEANED_SAMPLED - DEFAULT dataset. It achieves the following results on the evaluation set:

• Loss: 3.7649
• Clap: 0.1996

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: 1
• eval_batch_size: 1
• seed: 456
• gradient_accumulation_steps: 8
• total_train_batch_size: 8
• optimizer: Use adamw_torch with betas=(0.9,0.99) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
• lr_scheduler_type: cosine
• num_epochs: 1.0
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Clap
9.2964	0.2407	25	3.6824	0.2402
8.4519	0.4813	50	3.7090	0.2203
8.2681	0.7220	75	3.7505	0.1933
8.0758	0.9627	100	3.7648	0.2040

Framework versions

• PEFT 0.13.2
• Transformers 4.47.0.dev0
• Pytorch 2.1.2+cu121
• Datasets 3.1.0
• Tokenizers 0.20.3