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| # @package _global_ | |
| defaults: | |
| - override /model: cls_panns_48k_specaugment | |
| - override /effects: all | |
| seed: 12345 | |
| sample_rate: 48000 | |
| chunk_size: 262144 # 5.5s | |
| logs_dir: "./logs" | |
| render_files: True | |
| accelerator: "gpu" | |
| log_audio: False | |
| # Effects | |
| num_kept_effects: [0,0] # [min, max] | |
| num_removed_effects: [0,5] # [min, max] | |
| shuffle_kept_effects: True | |
| shuffle_removed_effects: True | |
| num_classes: 5 | |
| effects_to_keep: | |
| effects_to_remove: | |
| - distortion | |
| - compressor | |
| - reverb | |
| - chorus | |
| - delay | |
| datamodule: | |
| train_batch_size: 64 | |
| test_batch_size: 256 | |
| num_workers: 8 | |
| callbacks: | |
| model_checkpoint: | |
| _target_: pytorch_lightning.callbacks.ModelCheckpoint | |
| monitor: "valid_avg_acc_epoch" # name of the logged metric which determines when model is improving | |
| save_top_k: 1 # save k best models (determined by above metric) | |
| save_last: True # additionaly always save model from last epoch | |
| mode: "max" # can be "max" or "min" | |
| verbose: True | |
| dirpath: ${logs_dir}/ckpts/${now:%Y-%m-%d-%H-%M-%S} | |
| filename: '{epoch:02d}-{valid_avg_acc_epoch:.3f}' | |
| learning_rate_monitor: | |
| _target_: pytorch_lightning.callbacks.LearningRateMonitor | |
| logging_interval: "step" | |
| #audio_logging: | |
| # _target_: remfx.callbacks.AudioCallback | |
| # sample_rate: ${sample_rate} | |
| # log_audio: ${log_audio} | |
| trainer: | |
| _target_: pytorch_lightning.Trainer | |
| precision: 32 # Precision used for tensors, default `32` | |
| min_epochs: 0 | |
| max_epochs: 300 | |
| log_every_n_steps: 1 # Logs metrics every N batches | |
| accumulate_grad_batches: 1 | |
| accelerator: ${accelerator} | |
| devices: 1 | |
| gradient_clip_val: 10.0 | |
| max_steps: -1 | |