1 files changed, 0 insertions, 98 deletions
diff --git a/training/conf/experiment/vqgan.yaml b/training/conf/experiment/vqgan.yaml
deleted file mode 100644
index 726757f..0000000
--- a/training/conf/experiment/vqgan.yaml
+++ /dev/null
@@ -1,98 +0,0 @@
-# @package _global_
-
-defaults:
-  - override /network: vqvae
-  - override /criterion: null
-  - override /model: lit_vqgan
-  - override /callbacks: vae
-  - override /optimizers: null
-  - override /lr_schedulers: null
-
-epochs: &epochs 100
-ignore_index: &ignore_index 3
-num_classes: &num_classes 58
-max_output_len: &max_output_len 682
-summary: [[1, 1, 576, 640]]
-
-criterion:
-  _target_: text_recognizer.criterion.vqgan_loss.VQGANLoss
-  reconstruction_loss:
-    _target_: torch.nn.BCEWithLogitsLoss
-    reduction: mean
-  discriminator:
-    _target_: text_recognizer.criterion.n_layer_discriminator.NLayerDiscriminator
-    in_channels: 1
-    num_channels: 64
-    num_layers: 3
-  commitment_weight: 0.25
-  discriminator_weight: 0.8
-  discriminator_factor: 1.0
-  discriminator_iter_start: 8.0e4
-
-mapping: &mapping
-  mapping:
-    _target_: text_recognizer.data.mappings.emnist.EmnistMapping
-    extra_symbols: [ "\n" ]
-
-datamodule:
-  _target_: text_recognizer.data.iam_extended_paragraphs.IAMExtendedParagraphs
-  batch_size: 4
-  num_workers: 12
-  train_fraction: 0.9
-  pin_memory: true
-  << : *mapping
-
-lr_schedulers:
-  network:
-    _target_: torch.optim.lr_scheduler.CosineAnnealingLR
-    T_max: *epochs
-    eta_min: 1.0e-5
-    last_epoch: -1
-    interval: epoch
-    monitor: val/loss
- 
-  discriminator:
-    _target_: torch.optim.lr_scheduler.CosineAnnealingLR
-    T_max: *epochs
-    eta_min: 1.0e-5
-    last_epoch: -1
-    interval: epoch
-    monitor: val/loss
-
-optimizers:
-  generator:
-    _target_: madgrad.MADGRAD
-    lr: 1.0e-4
-    momentum: 0.5
-    weight_decay: 0
-    eps: 1.0e-7
-
-    parameters: network
-
-  discriminator:
-    _target_: madgrad.MADGRAD
-    lr: 4.5e-6
-    momentum: 0.5
-    weight_decay: 0
-    eps: 1.0e-6
-
-    parameters: loss_fn.discriminator
-
-trainer:
-  _target_: pytorch_lightning.Trainer
-  stochastic_weight_avg: false
-  auto_scale_batch_size: binsearch
-  auto_lr_find: false
-  gradient_clip_val: 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: 2
-  overfit_batches: 0