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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 |
