| |
| seed_everything: 4000152388 |
| trainer: |
| accelerator: gpu |
| strategy: ddp_find_unused_parameters_true |
| devices: -1 |
| num_nodes: 1 |
| precision: 32 |
| logger: |
| class_path: pytorch_lightning.loggers.WandbLogger |
| init_args: |
| name: null |
| save_dir: /import/c4dm-datasets-ext/lcap/param |
| version: null |
| offline: false |
| dir: null |
| id: null |
| anonymous: null |
| project: lcap-param |
| log_model: false |
| experiment: null |
| prefix: '' |
| checkpoint_name: null |
| job_type: null |
| config: null |
| entity: null |
| reinit: null |
| tags: null |
| group: null |
| notes: null |
| magic: null |
| config_exclude_keys: null |
| config_include_keys: null |
| mode: null |
| allow_val_change: null |
| resume: null |
| force: null |
| tensorboard: null |
| sync_tensorboard: null |
| monitor_gym: null |
| save_code: null |
| settings: null |
| callbacks: |
| - class_path: pytorch_lightning.callbacks.ModelCheckpoint |
| init_args: |
| dirpath: null |
| filename: '{epoch}-{step}' |
| monitor: val_loss |
| verbose: false |
| save_last: true |
| save_top_k: 1 |
| save_weights_only: false |
| mode: min |
| auto_insert_metric_name: true |
| every_n_train_steps: null |
| train_time_interval: null |
| every_n_epochs: null |
| save_on_train_epoch_end: null |
| enable_version_counter: true |
| - class_path: pytorch_lightning.callbacks.ModelSummary |
| init_args: |
| max_depth: 2 |
| - class_path: pytorch_lightning.callbacks.LearningRateMonitor |
| init_args: |
| logging_interval: null |
| log_momentum: false |
| log_weight_decay: false |
| - class_path: lcap.callbacks.MoveConfigCallback |
| init_args: |
| project_name: lcap-param |
| - class_path: lcap.callbacks.ConfusionMatrixCallback |
| fast_dev_run: false |
| max_epochs: 250 |
| min_epochs: null |
| max_steps: -1 |
| min_steps: null |
| max_time: null |
| limit_train_batches: null |
| limit_val_batches: null |
| limit_test_batches: null |
| limit_predict_batches: null |
| overfit_batches: 0.0 |
| val_check_interval: null |
| check_val_every_n_epoch: 5 |
| num_sanity_val_steps: 32 |
| log_every_n_steps: 100 |
| enable_checkpointing: null |
| enable_progress_bar: null |
| enable_model_summary: null |
| accumulate_grad_batches: 1 |
| gradient_clip_val: null |
| gradient_clip_algorithm: null |
| deterministic: null |
| benchmark: true |
| inference_mode: true |
| use_distributed_sampler: true |
| profiler: null |
| detect_anomaly: false |
| barebones: false |
| plugins: null |
| sync_batchnorm: true |
| reload_dataloaders_every_n_epochs: 0 |
| default_root_dir: /import/c4dm-datasets-ext/lcap/param |
| ckpt_path: null |
| model: |
| class_path: lcap.methods.param.ParameterEstimator |
| init_args: |
| encoder: |
| class_path: lcap.models.panns.Cnn14 |
| init_args: |
| embed_dim: 512 |
| sample_rate: 48000.0 |
| window_size: 2048 |
| hop_size: 1024 |
| mel_bins: 128 |
| fmin: 20.0 |
| fmax: 20000.0 |
| use_batchnorm: true |
| input_norm: minmax |
| lr: 0.0001 |
| num_instances: 63 |
| num_presets: 10 |
| weight_decay: 0.0001 |
| max_epochs: 250 |
| embed_mode: concat |
| norm: L2 |
| data: |
| class_path: lcap.dataset.dataset_param.PluginTarfileDataModule |
| init_args: |
| train_tarfiles: |
| - /import/c4dm-datasets-ext/lcap-datasets/20k/musdb18-vst3-presets.tar |
| - /import/c4dm-datasets-ext/lcap-datasets/20k/mtg-jamendo-vst3-presets.tar |
| - /import/c4dm-datasets-ext/lcap-datasets/20k/ursing-vst3-presets.tar |
| - /import/c4dm-datasets-ext/lcap-datasets/20k/enst-drums-vst3-presets.tar |
| - /import/c4dm-datasets-ext/lcap-datasets/20k/fsd50k-vst3-presets.tar |
| - /import/c4dm-datasets-ext/lcap-datasets/20k/librispeech-vst3-presets.tar |
| - /import/c4dm-datasets-ext/lcap-datasets/20k/medley-solos-db-vst3-presets.tar |
| - /import/c4dm-datasets-ext/lcap-datasets/20k/guitarset-vst3-presets.tar |
| val_tarfiles: |
| - /import/c4dm-datasets-ext/lcap-datasets/20k/guitarset-vst3-presets.tar |
| plugin_json: plugins/valid_plugins.json |
| batch_size: 64 |
| num_workers: 8 |
| length: 262144 |
| stereo: true |
| test_tarfiles: null |
| pin_memory: true |
| persistent_workers: true |
| num_train_examples: 140000 |
| num_val_examples: 2000 |
| num_test_examples: 2000 |
|
|