Update to experiments configs

3 files changed, 8 insertions, 101 deletions

diff --git a/training/conf/experiment/vq_htr_char.yaml b/training/conf/experiment/vq_htr_char.yaml
deleted file mode 100644
index b34dd11..0000000
--- a/training/conf/experiment/vq_htr_char.yaml
+++ /dev/null
@@ -1,74 +0,0 @@
-# @package _global_
-
-defaults:
-  - override /mapping: null
-  - override /network: null
-  - override /model: null
-
-mapping:
-  _target_: text_recognizer.data.emnist_mapping.EmnistMapping
-  extra_symbols: [ "\n" ]
-
-datamodule:
-  word_pieces: false
-  batch_size: 8
-
-criterion:
-  ignore_index: 3
-
-network:
-  _target_: text_recognizer.networks.vq_transformer.VqTransformer
-  input_dims: [1, 576, 640]
-  encoder_dim: 64
-  hidden_dim: 64
-  dropout_rate: 0.1
-  num_classes: 58
-  pad_index: 3
-  no_grad: false
-  encoder:
-    _target_: text_recognizer.networks.vqvae.vqvae.VQVAE
-    hidden_dim: 128
-    embedding_dim: 64
-    num_embeddings: 1024
-    decay: 0.99
-    encoder:
-      _target_: text_recognizer.networks.vqvae.encoder.Encoder
-      in_channels: 1 
-      hidden_dim: 64
-      channels_multipliers: [1, 1, 2, 2]
-      dropout_rate: 0.0
-    decoder:
-      _target_: text_recognizer.networks.vqvae.decoder.Decoder
-      out_channels: 1 
-      hidden_dim: 64
-      channels_multipliers: [2, 2, 1, 1]
-      dropout_rate: 0.0
-  decoder:
-    _target_: text_recognizer.networks.transformer.Decoder
-    dim: 64
-    depth: 2
-    num_heads: 4
-    attn_fn: text_recognizer.networks.transformer.attention.Attention
-    attn_kwargs:
-      dim_head: 32
-      dropout_rate: 0.2
-    norm_fn: torch.nn.LayerNorm
-    ff_fn: text_recognizer.networks.transformer.mlp.FeedForward
-    ff_kwargs:
-      dim_out: null
-      expansion_factor: 4
-      glu: true
-      dropout_rate: 0.2
-    cross_attend: true
-    pre_norm: true
-    rotary_emb: null
-
-  # pretrained_encoder_path: "training/logs/runs/2021-09-13/08-35-57/checkpoints/epoch=98.ckpt"
-
-model:
-  _target_: text_recognizer.models.vq_transformer.VqTransformerLitModel
-  start_token: <s>
-  end_token: <e>
-  pad_token: <p>
-  max_output_len: 682
-  # max_output_len: 451
diff --git a/training/conf/experiment/vqgan.yaml b/training/conf/experiment/vqgan.yaml
index 6c78deb..34886ec 100644
--- a/training/conf/experiment/vqgan.yaml
+++ b/training/conf/experiment/vqgan.yaml
@@ -18,14 +18,14 @@ criterion:
     in_channels: 1
     num_channels: 64
     num_layers: 3
-  vq_loss_weight: 0.25
-  discriminator_weight: 1.0
+  vq_loss_weight: 1.0
+  discriminator_weight: 0.8
   discriminator_factor: 1.0
-  discriminator_iter_start: 5e2
+  discriminator_iter_start: 7e4
 
 datamodule:
   batch_size: 8
-  resize: [288, 320]
+  # resize: [288, 320]
 
 lr_schedulers:
   generator:
@@ -36,25 +36,6 @@ lr_schedulers:
 
     interval: epoch
     monitor: val/loss
-#     _target_: torch.optim.lr_scheduler.OneCycleLR
-#     max_lr: 3.0e-4
-#     total_steps: null
-#     epochs: 100
-#     steps_per_epoch: 2496
-#     pct_start: 0.1
-#     anneal_strategy: cos
-#     cycle_momentum: true
-#     base_momentum: 0.85
-#     max_momentum: 0.95
-#     div_factor: 25
-#     final_div_factor: 1.0e4
-#     three_phase: true
-#     last_epoch: -1
-#     verbose: false
-
-#     # Non-class arguments
-#     interval: step
-#     monitor: val/loss
  
 #   discriminator:
 #     _target_: torch.optim.lr_scheduler.CosineAnnealingLR
@@ -86,6 +67,6 @@ optimizers:
 
 trainer:
   max_epochs: 128
-  limit_train_batches: 0.1
-  limit_val_batches: 0.1
-  # gradient_clip_val: 100
+  # limit_train_batches: 0.1
+  # limit_val_batches: 0.1
+  gradient_clip_val: 100
diff --git a/training/conf/experiment/vqvae.yaml b/training/conf/experiment/vqvae.yaml
index d9fa2c4..6e42690 100644
--- a/training/conf/experiment/vqvae.yaml
+++ b/training/conf/experiment/vqvae.yaml
@@ -43,7 +43,7 @@ optimizers:
 
 trainer:
   max_epochs: 128
-  limit_train_batches: 0.01
+  limit_train_batches: 0.1
   limit_val_batches: 0.1
 
 datamodule: