full config versioned with package; this is to demonstrate overrides only

configs/base.yaml

@@ -1,54 +1,9 @@
-model:
-  activation: relu
-  ckpt_path: null
-  d_model: 128
-  decoder_self_attn: true
-  dropout: 0.1
-  dropout_attn_head: 0.1
-  embedding_meta:
-    embedding_agg_method: average
-    pos:
-      emb_num: 16
-      mode: learned
-      normalize: true
-      over_boxes: true
-    temp:
-      emb_num: 16
-      mode: learned
-  encoder_cfg:
-    backend: timm
-    in_chans: 3
-    model_name: resnet18
-    pretrained: false
-  nhead: 1
-  norm: false
-  num_decoder_layers: 1
-  num_encoder_layers: 1
-  num_layers_attn_head: 1
-  return_embedding: false
-  return_intermediate_dec: true
-
-loss:
-  neg_unmatched: false
-  epsilon: 1e-4
-  asso_weight: 1.0
-
 optimizer:
   name: "Adam"
   lr: 0.0001
   betas: [0.9, 0.999]
   eps: 1e-8
   weight_decay: 0.01
-
-#currently assumes reduce lr on plateau
-scheduler:
-  name: "ReduceLROnPlateau"
-  mode: "min"
-  factor: 0.5
-  patience: 5
-  threshold: 0.001
-  threshold_mode: "rel"
-
       
 dataset:
   train_dataset:
@@ -77,64 +32,13 @@ dataset:
       labels_suffix: ".slp"
       vid_suffix: ".mp4"
     clip_length: 32
-    chunk: True
     padding: 0
     crop_size: 128
 
-  val_dataset:
-    anchors: "centroid"
-    dir:
-      path: "./data/val"
-      labels_suffix: ".slp"
-      vid_suffix: ".mp4"
-    padding: 0
-    crop_size: 128 
-    chunk: True
-    clip_length: 32
-
-  test_dataset:
-    padding: 0
-    crop_size: 128 
-    chunk: True
-    clip_length: 32
-
-dataloader:
-  train_dataloader:
-    shuffle: true
-  val_dataloader:
-    shuffle: false
-  test_dataloader: 
-    shuffle: false
-
 logging:
   logger_type: null
   name: "example_train"
 
-early_stopping:
-  monitor: "val_loss"
-  min_delta: 0.1
-  patience: 10
-  mode: "min"
-  check_finite: true
-  stopping_threshold: 1e-8
-  # divergence_threshold: 30
-
-checkpointing:
-  monitor: ["val_loss"]
-  verbose: true
-  save_last: true
-  dirpath: null
-  auto_insert_metric_name: true
-  every_n_epochs: 1
-  save_top_k: -1
-
 trainer:
-  check_val_every_n_epoch: 1
-  enable_checkpointing: true
-  gradient_clip_val: null
-  limit_train_batches: 1.0
-  limit_test_batches: 1.0
-  limit_val_batches: 1.0
-  log_every_n_steps: 1
   max_epochs: 3
   min_epochs: 1