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README.md
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---
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library_name: peft
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license: cc-by-nc-4.0
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base_model: facebook/musicgen-small
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tags:
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- generated_from_trainer
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model-index:
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- name: salami_truncsplit_finetune_model_16
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results: []
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---
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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should probably proofread and complete it, then remove this comment. -->
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# salami_truncsplit_finetune_model_16
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This model is a fine-tuned version of [facebook/musicgen-small](https://huggingface.co/facebook/musicgen-small) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 3.7648
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- Clap: 0.2037
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## Model description
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More information needed
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## Intended uses & limitations
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More information needed
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## Training and evaluation data
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More information needed
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## Training procedure
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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate: 1e-05
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- train_batch_size: 1
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- eval_batch_size: 1
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- seed: 456
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- gradient_accumulation_steps: 8
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- total_train_batch_size: 8
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- optimizer: Use adamw_torch with betas=(0.9,0.99) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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- lr_scheduler_type: cosine
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- num_epochs: 1.0
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- mixed_precision_training: Native AMP
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Clap |
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|:-------------:|:------:|:----:|:---------------:|:------:|
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| 9.2964 | 0.2407 | 25 | 3.6824 | 0.2393 |
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| 8.452 | 0.4813 | 50 | 3.7090 | 0.2203 |
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| 8.2681 | 0.7220 | 75 | 3.7505 | 0.1934 |
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| 8.0758 | 0.9627 | 100 | 3.7648 | 0.2037 |
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### Framework versions
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- PEFT 0.13.2
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- Transformers 4.47.0.dev0
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- Pytorch 2.1.2+cu121
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- Datasets 3.1.0
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- Tokenizers 0.20.3
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