--- library_name: peft license: cc-by-nc-4.0 base_model: facebook/musicgen-small tags: - text-to-audio - taufiqsyed/salami_cleaned_sampled - generated_from_trainer model-index: - name: salami_truncsplit_finetune_model_16 results: [] --- # salami_truncsplit_finetune_model_16 This model is a fine-tuned version of [facebook/musicgen-small](https://huggingface.co/facebook/musicgen-small) on the TAUFIQSYED/SALAMI_CLEANED_SAMPLED - DEFAULT dataset. It achieves the following results on the evaluation set: - Loss: 3.7649 - Clap: 0.1988 ## 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 | 0.2393 | | 8.452 | 0.4813 | 50 | 3.7090 | 0.2203 | | 8.2681 | 0.7220 | 75 | 3.7505 | 0.1934 | | 8.0758 | 0.9627 | 100 | 3.7648 | 0.2037 | ### Framework versions - PEFT 0.13.2 - Transformers 4.47.0.dev0 - Pytorch 2.1.2+cu121 - Datasets 3.1.0 - Tokenizers 0.20.3