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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_legit1_model
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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_legit1_model
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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: 6.5205
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- Clap: 0.1081
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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: 2e-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: 16
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- total_train_batch_size: 16
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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: constant
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- num_epochs: 10.0
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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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| 8.305 | 0.4813 | 25 | 3.7163 | 0.2508 |
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| 6.9842 | 0.9627 | 50 | 4.6081 | 0.0551 |
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| 6.9013 | 1.4428 | 75 | 5.6498 | 0.0582 |
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| 6.0195 | 1.9242 | 100 | 5.7631 | 0.1450 |
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| 6.447 | 2.4043 | 125 | 5.7947 | 0.1187 |
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| 6.215 | 2.8857 | 150 | 5.8396 | 0.1164 |
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| 6.4075 | 3.3658 | 175 | 5.8361 | 0.1174 |
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| 5.797 | 3.8472 | 200 | 5.8150 | 0.1093 |
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| 6.347 | 4.3273 | 225 | 5.7935 | 0.1029 |
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| 5.3935 | 4.8087 | 250 | 5.7605 | 0.1040 |
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| 6.0328 | 5.2888 | 275 | 5.7012 | 0.1006 |
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| 6.1476 | 5.7702 | 300 | 5.6703 | 0.0880 |
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| 5.9049 | 6.2503 | 325 | 5.8333 | 0.1260 |
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| 5.8547 | 6.7316 | 350 | 5.9171 | 0.1415 |
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| 5.5151 | 7.2118 | 375 | 6.0307 | 0.1488 |
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| 6.0651 | 7.6931 | 400 | 6.0683 | 0.1520 |
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| 6.0339 | 8.1733 | 425 | 6.1653 | 0.1496 |
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| 5.5607 | 8.6546 | 450 | 6.3588 | 0.1344 |
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| 6.0312 | 9.1348 | 475 | 6.4503 | 0.1358 |
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| 5.9084 | 9.6161 | 500 | 6.5205 | 0.1081 |
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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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