Add char htr experiment, rename from ocr to htr, vqvae loss collapses

9 files changed, 18 insertions, 5 deletions

diff --git a/training/callbacks/wandb_callbacks.py b/training/callbacks/wandb_callbacks.py
index c750e4b..61d71df 100644
--- a/training/callbacks/wandb_callbacks.py
+++ b/training/callbacks/wandb_callbacks.py
@@ -119,7 +119,7 @@ class LogTextPredictions(Callback):
         ]
 
         experiment.log(
-            {f"OCR/{experiment.name}/{stage}": wandb.Table(data=data, columns=columns)}
+            {f"HTR/{experiment.name}/{stage}": wandb.Table(data=data, columns=columns)}
         )
 
     def on_sanity_check_start(
diff --git a/training/conf/callbacks/wandb_ocr.yaml b/training/conf/callbacks/wandb_htr.yaml
index 9c9a6da..9c9a6da 100644
--- a/training/conf/callbacks/wandb_ocr.yaml
+++ b/training/conf/callbacks/wandb_htr.yaml
diff --git a/training/conf/callbacks/wandb_ocr_predictions.yaml b/training/conf/callbacks/wandb_htr_predictions.yaml
index 573fa96..573fa96 100644
--- a/training/conf/callbacks/wandb_ocr_predictions.yaml
+++ b/training/conf/callbacks/wandb_htr_predictions.yaml
diff --git a/training/conf/config.yaml b/training/conf/config.yaml
index 6b74502..c606366 100644
--- a/training/conf/config.yaml
+++ b/training/conf/config.yaml
@@ -1,7 +1,7 @@
 # @package _global_
 
 defaults:
-  - callbacks: wandb_ocr
+  - callbacks: wandb_htr
   - criterion: label_smoothing
   - datamodule: iam_extended_paragraphs
   - hydra: default
diff --git a/training/conf/experiment/htr_char.yaml b/training/conf/experiment/htr_char.yaml
new file mode 100644
index 0000000..77126ae
--- /dev/null
+++ b/training/conf/experiment/htr_char.yaml
@@ -0,0 +1,12 @@
+# @package _global_
+
+defaults:
+  - override /mapping: characters
+
+criterion:
+  ignore_index: 3
+
+network:
+  num_classes: 89
+  pad_index: 3
+  max_output_len: 682
diff --git a/training/conf/experiment/vqvae.yaml b/training/conf/experiment/vqvae.yaml
index 13e5f34..699612e 100644
--- a/training/conf/experiment/vqvae.yaml
+++ b/training/conf/experiment/vqvae.yaml
@@ -8,6 +8,7 @@ defaults:
 
 trainer:
   max_epochs: 64
+  gradient_clip_val: 0.25
 
 datamodule:
   batch_size: 32
@@ -17,4 +18,4 @@ lr_scheduler:
   steps_per_epoch: 624
 
 optimizer:
-  lr: 1.0e-2
+  lr: 1.0e-3
diff --git a/training/conf/mapping/emnist.yaml b/training/conf/mapping/characters.yaml
index 14e966b..14e966b 100644
--- a/training/conf/mapping/emnist.yaml
+++ b/training/conf/mapping/characters.yaml
diff --git a/training/conf/network/decoder/transformer_decoder.yaml b/training/conf/network/decoder/transformer_decoder.yaml
index c326c04..bc0678b 100644
--- a/training/conf/network/decoder/transformer_decoder.yaml
+++ b/training/conf/network/decoder/transformer_decoder.yaml
@@ -4,7 +4,7 @@ defaults:
 _target_: text_recognizer.networks.transformer.Decoder
 dim: 128
 depth: 2
-num_heads: 8
+num_heads: 4
 attn_fn: text_recognizer.networks.transformer.attention.Attention
 attn_kwargs:
   dim_head: 64
diff --git a/training/conf/trainer/default.yaml b/training/conf/trainer/default.yaml
index c665adc..0fa9ce1 100644
--- a/training/conf/trainer/default.yaml
+++ b/training/conf/trainer/default.yaml
@@ -8,7 +8,7 @@ gpus: 1
 precision: 16
 max_epochs: 512
 terminate_on_nan: true
-weights_summary: top
+weights_summary: full
 limit_train_batches: 1.0 
 limit_val_batches: 1.0
 limit_test_batches: 1.0