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README.md
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---
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base_model: facebook/musicgen-large
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library_name: peft
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license: cc-by-nc-4.0
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tags:
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- generated_from_trainer
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model-index:
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- name: punk-music-test
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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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# punk-music-test
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This model is a fine-tuned version of [facebook/musicgen-large](https://huggingface.co/facebook/musicgen-large) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 4.6589
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- Clap: 0.0539
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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: 0.0001
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- train_batch_size: 4
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- eval_batch_size: 1
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- seed: 123
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- gradient_accumulation_steps: 4
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- total_train_batch_size: 16
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- optimizer: Adam with betas=(0.9,0.99) and epsilon=1e-08
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- lr_scheduler_type: linear
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- num_epochs: 8.0
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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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| 8.875 | 0.8571 | 3 | 4.4074 | 0.0678 |
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| 8.7074 | 2.0 | 7 | 4.4241 | 0.0586 |
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| 8.6372 | 2.8571 | 10 | 4.4617 | 0.0704 |
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| 8.5145 | 4.0 | 14 | 4.5377 | 0.0566 |
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| 8.4215 | 4.8571 | 17 | 4.5900 | 0.0567 |
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| 8.4121 | 6.0 | 21 | 4.6385 | 0.0320 |
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| 8.377 | 6.8571 | 24 | 4.6589 | 0.0539 |
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### Framework versions
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- PEFT 0.11.1
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- Transformers 4.42.0.dev0
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- Pytorch 2.1.0+cu118
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- Datasets 2.20.0
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- Tokenizers 0.19.1
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