mateo-19182
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Update README.md
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README.md
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---
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license: mit
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tags:
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- audiocraft
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base_model: facebook/musicgen-small
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---
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small model trained on 295 freely available drum breaks. No text conditioning was used (inspired by https://github.com/aaronabebe/micro-musicgen).
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useful docs: https://github.com/facebookresearch/audiocraft/blob/main/docs/TRAINING.md
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```
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dora run solver=musicgen/musicgen_base_32khz model/lm/model_scale=small conditioner=none dataset.batch_size=5 dset=audio/breaks.yaml dataset.valid.num_samples=1 generate.every=10000 evaluate.every=10000 optim.optimizer=adamw optim.lr=1e-4 optim.adam.weight_decay=0.01 checkpoint.save_every=5
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---
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license: mit
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tags:
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- audiocraft
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base_model: facebook/musicgen-small
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---
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small model trained on 295 freely available drum breaks. No text conditioning was used (inspired by https://github.com/aaronabebe/micro-musicgen).
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useful docs: https://github.com/facebookresearch/audiocraft/blob/main/docs/TRAINING.md
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examples:
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(picked at random)
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<table style="width:100%; text-align:center;">
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<tr>
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<td>
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<audio controls>
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<source src="https://huggingface.co/mateo-19182/all-the-breaks/resolve/main/3.wav?download=true" type="audio/wav">
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Your browser does not support the audio element.
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</audio>
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</td>
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<td>
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<audio controls>
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<source src="https://huggingface.co/mateo-19182/all-the-breaks/resolve/main/sample_3.wav?download=true" type="audio/wav">
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Your browser does not support the audio element.
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</audio>
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</td>
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</tr>
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<tr>
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<td>
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<audio controls>
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<source src="https://huggingface.co/mateo-19182/all-the-breaks/resolve/main/9.wav?download=true" type="audio/wav">
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Your browser does not support the audio element.
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</audio>
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</td>
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<td>
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<audio controls>
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<source src="https://huggingface.co/mateo-19182/all-the-breaks/resolve/main/sample_9.wav?download=true" type="audio/wav">
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Your browser does not support the audio element.
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</audio>
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</td>
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</tr>
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</table>
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```
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dora run solver=musicgen/musicgen_base_32khz model/lm/model_scale=small conditioner=none dataset.batch_size=5 dset=audio/breaks.yaml dataset.valid.num_samples=1 generate.every=10000 evaluate.every=10000 optim.optimizer=adamw optim.lr=1e-4 optim.adam.weight_decay=0.01 checkpoint.save_every=5
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