Create README.md

README.md

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+---
+library_name: peft
+tags:
+- text-to-audio
+- CLAPv2/MusicCaps
+- generated_from_trainer
+model-index:
+- name: GenCaps-finetune-Musicgen-small
+  results: []
+base_model:
+- facebook/musicgen-small
+---
+
+<!-- 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: 5.0661
+- Clap: 0.1549
+
+## 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: 220.0
+- mixed_precision_training: Native AMP
+
+### Training results
+
+
+
+### Framework versions
+
+- PEFT 0.14.0
+- Transformers 4.53.0.dev0
+- Pytorch 2.6.0+cu124
+- Datasets 3.6.0
+- Tokenizers 0.21.1