1 files changed, 76 insertions, 0 deletions
diff --git a/training/conf/experiment/conv_perceiver_lines.yaml b/training/conf/experiment/conv_perceiver_lines.yaml
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+++ b/training/conf/experiment/conv_perceiver_lines.yaml
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+# @package _global_
+
+defaults:
+  - override /criterion: cross_entropy
+  - override /callbacks: htr
+  - override /datamodule: iam_lines
+  - override /network: conv_perceiver
+  - override /model: lit_perceiver
+  - override /lr_scheduler: null
+  - override /optimizer: null
+
+tags: [lines, perceiver]
+epochs: &epochs 260
+ignore_index: &ignore_index 3
+num_classes: &num_classes 57
+max_output_len: &max_output_len 89
+summary: [[1, 1, 56, 1024]]
+
+logger:
+  wandb:
+    tags: ${tags}
+
+criterion:
+  ignore_index: *ignore_index
+  # label_smoothing: 0.1
+
+callbacks:
+  stochastic_weight_averaging:
+    _target_: pytorch_lightning.callbacks.StochasticWeightAveraging
+    swa_epoch_start: 0.75
+    swa_lrs: 1.0e-5
+    annealing_epochs: 10
+    annealing_strategy: cos
+    device: null
+
+optimizer:
+  _target_: adan_pytorch.Adan
+  lr: 1.0e-4
+  betas: [0.02, 0.08, 0.01]
+  weight_decay: 0.02
+
+lr_scheduler:
+  _target_: torch.optim.lr_scheduler.ReduceLROnPlateau
+  mode: min
+  factor: 0.8
+  patience: 10
+  threshold: 1.0e-4
+  threshold_mode: rel
+  cooldown: 0
+  min_lr: 1.0e-5
+  eps: 1.0e-8
+  verbose: false
+  interval: epoch
+  monitor: val/cer
+
+datamodule:
+  batch_size: 8
+  train_fraction: 0.95
+
+network:
+  input_dims: [1, 1, 56, 1024]
+  num_classes: *num_classes
+  pad_index: *ignore_index
+  encoder:
+    depth: 5
+  decoder:
+    depth: 6
+
+model:
+  max_output_len: *max_output_len
+
+trainer:
+  gradient_clip_val: 1.0
+  stochastic_weight_avg: true
+  max_epochs: *epochs
+  accumulate_grad_batches: 1