1 files changed, 0 insertions, 102 deletions
diff --git a/training/conf/experiment/barlow_twins.yaml b/training/conf/experiment/barlow_twins.yaml
deleted file mode 100644
index cc1295d..0000000
--- a/training/conf/experiment/barlow_twins.yaml
+++ /dev/null
@@ -1,102 +0,0 @@
-# @package _global_
-
-defaults:
-  - override /criterion: null
-  - override /datamodule: null
-  - override /network: null
-  - override /model: null
-  - override /lr_schedulers: null
-  - override /optimizers: null
-
-epochs: &epochs 1000
-summary: [[1, 1, 56, 1024]]
-
-criterion:
-  _target_: text_recognizer.criterions.barlow_twins.BarlowTwinsLoss
-  dim: 512
-  lambda_: 3.9e-3
-
-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
-
-optimizers:
-  madgrad:
-    _target_: madgrad.MADGRAD
-    lr: 1.0e-3
-    momentum: 0.9
-    weight_decay: 1.0e-6
-    eps: 1.0e-6
-    parameters: network
-
-lr_schedulers:
-  network:
-    _target_: torch.optim.lr_scheduler.OneCycleLR
-    max_lr: 3.0e-4
-    total_steps: null
-    epochs: *epochs
-    steps_per_epoch: 45
-    pct_start: 0.03
-    anneal_strategy: cos
-    cycle_momentum: true
-    base_momentum: 0.85
-    max_momentum: 0.95
-    div_factor: 25
-    final_div_factor: 1.0e4
-    three_phase: false
-    last_epoch: -1
-    verbose: false
-    # Non-class arguments
-    interval: step
-    monitor: val/loss
-
-datamodule:
-    _target_: text_recognizer.data.iam_lines.IAMLines
-    batch_size: 16
-    num_workers: 12
-    train_fraction: 0.9
-    pin_memory: false
-    transform: transform/iam_lines_barlow.yaml
-    test_transform: transform/iam_lines_barlow.yaml
-    mapping: 
-      _target_: text_recognizer.data.mappings.emnist_mapping.EmnistMapping
-
-network:
-  _target_: text_recognizer.networks.barlow_twins.network.BarlowTwins
-  encoder:
-    _target_: text_recognizer.networks.encoders.efficientnet.EfficientNet
-    arch: b0
-    out_channels: 1280
-    stochastic_dropout_rate: 0.2
-    bn_momentum: 0.99
-    bn_eps: 1.0e-3
-  projector:
-    _target_: text_recognizer.networks.barlow_twins.projector.Projector
-    dims: [1280, 512, 512, 512]
-
-model:
-  _target_: text_recognizer.models.barlow_twins.BarlowTwinsLitModel
-
-trainer:
-  _target_: pytorch_lightning.Trainer
-  stochastic_weight_avg: true
-  auto_scale_batch_size: binsearch
-  auto_lr_find: false
-  gradient_clip_val: 0.0
-  fast_dev_run: false
-  gpus: 1
-  precision: 16
-  max_epochs: *epochs
-  terminate_on_nan: true
-  weights_summary: null
-  limit_train_batches: 1.0 
-  limit_val_batches: 1.0
-  limit_test_batches: 1.0
-  resume_from_checkpoint: null
-  accumulate_grad_batches: 32
-  overfit_batches: 0