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---
library_name: peft
license: cc-by-nc-4.0
base_model: facebook/musicgen-melody
tags:
- text-to-audio
- taufiqsyed/salami_cleaned_sampled
- generated_from_trainer
model-index:
- name: salami_truncsplit_model
results: []
---
<!-- 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. -->
# salami_truncsplit_model
This model is a fine-tuned version of [facebook/musicgen-melody](https://huggingface.co/facebook/musicgen-melody) on the TAUFIQSYED/SALAMI_CLEANED_SAMPLED - DEFAULT dataset.
It achieves the following results on the evaluation set:
- Loss: 6.1330
- Clap: 0.1080
## 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 |
|:-------------:|:------:|:----:|:---------------:|:------:|
| 6.4684 | 0.4813 | 25 | 6.0063 | 0.0988 |
| 6.4209 | 0.9627 | 50 | 6.0700 | 0.1396 |
| 6.7252 | 1.4428 | 75 | 6.0365 | 0.1031 |
| 6.1879 | 1.9242 | 100 | 5.8966 | 0.1233 |
| 6.3642 | 2.4043 | 125 | 6.8064 | 0.1065 |
| 6.2382 | 2.8857 | 150 | 6.1185 | 0.0766 |
| 6.3169 | 3.3658 | 175 | 6.1162 | 0.0969 |
| 5.7667 | 3.8472 | 200 | 6.1305 | 0.1143 |
### Framework versions
- PEFT 0.13.2
- Transformers 4.47.0.dev0
- Pytorch 2.1.2+cu121
- Datasets 3.1.0
- Tokenizers 0.20.3