aimusicdetection / commands.txt
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celery -A celery_app.AI_detection_celery_app worker --loglevel=info --pool=solo
CUDA_VISIBLE_DEVICES="5" python embedding_train.py MERT
CUDA_VISIBLE_DEVICES="6" python embedding_train.py music2vec
CUDA_VISIBLE_DEVICES="7" python embedding_train.py wav2vec
CUDA_VISIBLE_DEVICES="4" python embedding_train.py ccv
1. Default Experiments
python test.py wav2vec with_embedding_wav2vec_768_embedding_process_comp/EmbeddingModel_wav2vec_768-epoch=0469-val_loss=0.4800-val_acc=0.9389-val_f1=0.9377-val_precision=0.9219-val_recall=0.9540.ckpt both
python test.py music2vec /data/gsh/AI_detection/with_embedding_music2vec_768_embedding_process_comp/EmbeddingModel_music2vec_768-epoch=0147-val_loss=0.1940-val_acc=0.9419-val_f1=0.9400-val_precision=0.9370-val_recall=0.9429.ckpt both
python test.py MERT /data/gsh/AI_detection/with_embedding_MERT_768_embedding/EmbeddingModel_MERT_768-epoch=0353-val_loss=0.3866-val_acc=0.9809-val_f1=0.9803-val_precision=0.9764-val_recall=0.9842.ckpt both