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Runtime error
| [DEFAULTS] | |
| #name of the run | |
| name = think_sound | |
| # the batch size | |
| batch_size = 8 | |
| test_batch_size = 32 | |
| # predict ckpt directory | |
| ckpt_dir = "" | |
| # number of GPUs to use for training | |
| num_gpus = 1 | |
| # number of nodes to use for training | |
| num_nodes = 1 | |
| # Multi-GPU strategy for PyTorch Lightning | |
| strategy = "" | |
| # Precision to use for training | |
| precision = "bf16-mixed" | |
| # number of CPU workers for the DataLoader | |
| num_workers = 8 | |
| # the random seed | |
| seed = 42 | |
| # Batches for gradient accumulation | |
| accum_batches = 1 | |
| # Number of steps between checkpoints | |
| checkpoint_every = 2000 | |
| # trainer checkpoint file to restart training from | |
| ckpt_path = '' | |
| # model checkpoint file to start a new training run from | |
| pretrained_ckpt_path = '' | |
| # Checkpoint path for the pretransform model if needed | |
| pretransform_ckpt_path = '' | |
| # configuration model specifying model hyperparameters | |
| model_config = '' | |
| # configuration for datasets | |
| dataset_config = '' | |
| # directory to save the checkpoints in | |
| save_dir = '' | |
| # gradient_clip_val passed into PyTorch Lightning Trainer | |
| gradient_clip_val = 0.0 | |
| # remove the weight norm from the pretransform model | |
| remove_pretransform_weight_norm = '' | |
| compile = False | |
| repeat_num = 5 |