Loading README.md +4 −4 Original line number Diff line number Diff line Loading @@ -62,7 +62,7 @@ trainer = SoundStreamTrainer( batch_size = 4, grad_accum_every = 8, # effective batch size of 32 data_max_length_seconds = 2, # train on 2 second audio num_train_steps = 10000 num_train_steps = 1_000_000 ).cuda() trainer.train() Loading Loading @@ -157,7 +157,7 @@ trainer = CoarseTransformerTrainer( folder = '/path/to/audio/files', batch_size = 1, data_max_length = 320 * 32, num_train_steps = 10000 num_train_steps = 1_000_000 ) trainer.train() Loading Loading @@ -185,7 +185,7 @@ trainer = FineTransformerTrainer( folder = '/path/to/audio/files', batch_size = 1, data_max_length = 320 * 32, num_train_steps = 10000 num_train_steps = 1_000_000 ) trainer.train() Loading Loading @@ -270,7 +270,7 @@ trainer = SemanticTransformerTrainer( batch_size = 4, grad_accum_every = 8, data_max_length = 320 * 32, num_train_steps = 100000 num_train_steps = 1_000_000 ) trainer.train() Loading Loading
README.md +4 −4 Original line number Diff line number Diff line Loading @@ -62,7 +62,7 @@ trainer = SoundStreamTrainer( batch_size = 4, grad_accum_every = 8, # effective batch size of 32 data_max_length_seconds = 2, # train on 2 second audio num_train_steps = 10000 num_train_steps = 1_000_000 ).cuda() trainer.train() Loading Loading @@ -157,7 +157,7 @@ trainer = CoarseTransformerTrainer( folder = '/path/to/audio/files', batch_size = 1, data_max_length = 320 * 32, num_train_steps = 10000 num_train_steps = 1_000_000 ) trainer.train() Loading Loading @@ -185,7 +185,7 @@ trainer = FineTransformerTrainer( folder = '/path/to/audio/files', batch_size = 1, data_max_length = 320 * 32, num_train_steps = 10000 num_train_steps = 1_000_000 ) trainer.train() Loading Loading @@ -270,7 +270,7 @@ trainer = SemanticTransformerTrainer( batch_size = 4, grad_accum_every = 8, data_max_length = 320 * 32, num_train_steps = 100000 num_train_steps = 1_000_000 ) trainer.train() Loading