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---
library_name: peft
license: cc-by-nc-4.0
base_model: facebook/musicgen-melody
tags:
- text-to-audio
- taufiqsyed/salami_data_cleaned
- generated_from_trainer
model-index:
- name: salami-data-clean-model
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# salami-data-clean-model
This model is a fine-tuned version of [facebook/musicgen-melody](https://huggingface.co/facebook/musicgen-melody) on the TAUFIQSYED/SALAMI_DATA_CLEANED - DEFAULT dataset.
It achieves the following results on the evaluation set:
- Loss: 6.0759
- Clap: 0.1725
## 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: 1
- eval_batch_size: 1
- seed: 456
- gradient_accumulation_steps: 16
- 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: 4.0
### Training results
| Training Loss | Epoch | Step | Validation Loss | Clap |
|:-------------:|:------:|:----:|:---------------:|:------:|
| 6.334 | 2.0874 | 25 | 6.1052 | 0.1877 |
### Framework versions
- PEFT 0.13.2
- Transformers 4.47.0.dev0
- Pytorch 2.1.2+cu121
- Datasets 3.1.0
- Tokenizers 0.20.3