README.md

metadata

base_model: facebook/musicgen-large
library_name: peft
license: cc-by-nc-4.0
tags:
  - text-to-audio
  - acid_data
  - generated_from_trainer
model-index:
  - name: musicgen-large-lora-acid_techno_2ep_5da-colab
    results: []

musicgen-large-lora-acid_techno_2ep_5da-colab

This model is a fine-tuned version of facebook/musicgen-large on the ShaySha/acid_data dataset.

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: 8
• 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: 2
• mixed_precision_training: Native AMP

Training results

Framework versions

• PEFT 0.13.2
• Transformers 4.47.0.dev0
• Pytorch 2.1.2+cu121
• Datasets 3.1.0
• Tokenizers 0.20.1