Model save
Browse files- README.md +6 -7
- generation_config.json +10 -0
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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tags:
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- generated_from_trainer
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model-index:
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# musicgen-finetune-aav
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This model is a fine-tuned version of [facebook/musicgen-
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## Model description
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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate: 0.
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- train_batch_size: 2
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- eval_batch_size: 8
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- seed: 42
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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: linear
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- num_epochs:
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- mixed_precision_training: Native AMP
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### Training results
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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.
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---
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library_name: transformers
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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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# musicgen-finetune-aav
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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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## Model description
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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: 2
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- eval_batch_size: 8
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- seed: 42
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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: linear
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- num_epochs: 4
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- mixed_precision_training: Native AMP
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### Training results
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### Framework versions
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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 0.20.2
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generation_config.json
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{
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"_from_model_config": true,
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"bos_token_id": 2048,
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"decoder_start_token_id": 2048,
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"do_sample": true,
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"guidance_scale": 3.0,
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"max_length": 1500,
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"pad_token_id": 2048,
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"transformers_version": "4.47.0.dev0"
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}
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