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-rw-r--r--training/conf/experiment/convformer_lines.yaml58
-rw-r--r--training/conf/experiment/mammut_lines.yaml5
-rw-r--r--training/conf/experiment/vit_lines.yaml3
-rw-r--r--training/conf/network/convformer_lines.yaml31
-rw-r--r--training/conf/network/convnext.yaml16
-rw-r--r--training/conf/network/mammut_cvit_lines.yaml51
-rw-r--r--training/conf/network/mammut_lines.yaml19
-rw-r--r--training/conf/network/vit_lines.yaml56
8 files changed, 189 insertions, 50 deletions
diff --git a/training/conf/experiment/convformer_lines.yaml b/training/conf/experiment/convformer_lines.yaml
new file mode 100644
index 0000000..f573433
--- /dev/null
+++ b/training/conf/experiment/convformer_lines.yaml
@@ -0,0 +1,58 @@
+# @package _global_
+
+defaults:
+ - override /criterion: cross_entropy
+ - override /callbacks: htr
+ - override /datamodule: iam_lines
+ - override /network: convformer_lines
+ - override /model: lit_transformer
+ - override /lr_scheduler: cosine_annealing
+ - override /optimizer: adan
+
+tags: [lines, vit]
+epochs: &epochs 320
+ignore_index: &ignore_index 3
+# summary: [[1, 1, 56, 1024], [1, 89]]
+
+logger:
+ wandb:
+ tags: ${tags}
+
+criterion:
+ ignore_index: *ignore_index
+ # label_smoothing: 0.05
+
+
+decoder:
+ max_output_len: 89
+
+optimizer:
+ lr: 1.0e-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
+
+lr_scheduler:
+ T_max: *epochs
+
+datamodule:
+ batch_size: 8
+ train_fraction: 0.95
+
+model:
+ max_output_len: 89
+
+trainer:
+ fast_dev_run: false
+ gradient_clip_val: 1.0
+ max_epochs: *epochs
+ accumulate_grad_batches: 1
+ limit_train_batches: 1.0
+ limit_val_batches: 1.0
+ limit_test_batches: 1.0
diff --git a/training/conf/experiment/mammut_lines.yaml b/training/conf/experiment/mammut_lines.yaml
index e74e219..eb6f765 100644
--- a/training/conf/experiment/mammut_lines.yaml
+++ b/training/conf/experiment/mammut_lines.yaml
@@ -39,12 +39,15 @@ lr_scheduler:
T_max: *epochs
datamodule:
- batch_size: 8
+ batch_size: 16
train_fraction: 0.95
model:
max_output_len: 89
+optimizer:
+ lr: 1.0e-3
+
trainer:
fast_dev_run: false
gradient_clip_val: 1.0
diff --git a/training/conf/experiment/vit_lines.yaml b/training/conf/experiment/vit_lines.yaml
index 08ed481..2f7731e 100644
--- a/training/conf/experiment/vit_lines.yaml
+++ b/training/conf/experiment/vit_lines.yaml
@@ -26,6 +26,9 @@ criterion:
decoder:
max_output_len: 89
+optim4izer:
+ lr: 1.0e-3
+
# callbacks:
# stochastic_weight_averaging:
# _target_: pytorch_lightning.callbacks.StochasticWeightAveraging
diff --git a/training/conf/network/convformer_lines.yaml b/training/conf/network/convformer_lines.yaml
new file mode 100644
index 0000000..ef9c831
--- /dev/null
+++ b/training/conf/network/convformer_lines.yaml
@@ -0,0 +1,31 @@
+_target_: text_recognizer.network.convformer.Convformer
+image_height: 7
+image_width: 128
+patch_height: 1
+patch_width: 1
+dim: &dim 512
+num_classes: &num_classes 57
+encoder:
+ _target_: text_recognizer.network.convnext.convnext.ConvNext
+ dim: 16
+ dim_mults: [2, 8, 32]
+ depths: [2, 2, 2]
+ attn: null
+decoder:
+ _target_: text_recognizer.network.transformer.decoder.Decoder
+ dim: *dim
+ ff_mult: 4
+ heads: 12
+ dim_head: 64
+ depth: 6
+ dropout_rate: 0.
+ one_kv_head: true
+token_embedding:
+ _target_: "text_recognizer.network.transformer.embedding.token.\
+ TokenEmbedding"
+ num_tokens: *num_classes
+ dim: *dim
+ use_l2: true
+tie_embeddings: false
+pad_index: 3
+channels: 512
diff --git a/training/conf/network/convnext.yaml b/training/conf/network/convnext.yaml
index 40343a7..bcbc78e 100644
--- a/training/conf/network/convnext.yaml
+++ b/training/conf/network/convnext.yaml
@@ -1,15 +1,15 @@
_target_: text_recognizer.network.convnext.convnext.ConvNext
dim: 8
-dim_mults: [2, 8]
-depths: [2, 2]
+dim_mults: [2, 8, 8, 8]
+depths: [2, 2, 2, 2]
attn:
_target_: text_recognizer.network.convnext.transformer.Transformer
- attn:
- _target_: text_recognizer.network.convnext.transformer.Attention
- dim: 64
- heads: 4
- dim_head: 64
- scale: 8
+ attn: null
+ # _target_: text_recognizer.network.convnext.transformer.Attention
+ # dim: 64
+ # heads: 4
+ # dim_head: 64
+ # scale: 8
ff:
_target_: text_recognizer.network.convnext.transformer.FeedForward
dim: 64
diff --git a/training/conf/network/mammut_cvit_lines.yaml b/training/conf/network/mammut_cvit_lines.yaml
new file mode 100644
index 0000000..75fcccb
--- /dev/null
+++ b/training/conf/network/mammut_cvit_lines.yaml
@@ -0,0 +1,51 @@
+_target_: text_recognizer.network.mammut.MaMMUT
+encoder:
+ _target_: text_recognizer.network.cvit.CVit
+ image_height: 7
+ image_width: 128
+ patch_height: 7
+ patch_width: 1
+ dim: &dim 512
+ encoder:
+ _target_: text_recognizer.network.transformer.encoder.Encoder
+ dim: *dim
+ heads: 8
+ dim_head: 64
+ ff_mult: 4
+ depth: 2
+ dropout_rate: 0.5
+ use_rotary_emb: true
+ one_kv_head: true
+ stem:
+ _target_: text_recognizer.network.convnext.convnext.ConvNext
+ dim: 16
+ dim_mults: [2, 8, 32]
+ depths: [2, 2, 4]
+ attn: null
+ channels: 512
+image_attn_pool:
+ _target_: text_recognizer.network.transformer.attention.Attention
+ dim: *dim
+ heads: 8
+ causal: false
+ dim_head: 64
+ ff_mult: 4
+ dropout_rate: 0.0
+ use_flash: true
+ norm_context: true
+ use_rotary_emb: false
+ one_kv_head: true
+decoder:
+ _target_: text_recognizer.network.transformer.decoder.Decoder
+ dim: *dim
+ ff_mult: 4
+ heads: 8
+ dim_head: 64
+ depth: 6
+ dropout_rate: 0.5
+ one_kv_head: true
+dim: *dim
+dim_latent: *dim
+num_tokens: 57
+pad_index: 3
+num_image_queries: 64
diff --git a/training/conf/network/mammut_lines.yaml b/training/conf/network/mammut_lines.yaml
index f1c73d0..0b27f09 100644
--- a/training/conf/network/mammut_lines.yaml
+++ b/training/conf/network/mammut_lines.yaml
@@ -4,17 +4,20 @@ encoder:
image_height: 56
image_width: 1024
patch_height: 56
- patch_width: 8
+ patch_width: 2
dim: &dim 512
encoder:
_target_: text_recognizer.network.transformer.encoder.Encoder
dim: *dim
- heads: 12
+ heads: 16
dim_head: 64
ff_mult: 4
depth: 6
- dropout_rate: 0.1
+ dropout_rate: 0.
+ use_rotary_emb: true
+ one_kv_head: true
channels: 1
+ patch_dropout: 0.5
image_attn_pool:
_target_: text_recognizer.network.transformer.attention.Attention
dim: *dim
@@ -25,7 +28,8 @@ image_attn_pool:
dropout_rate: 0.0
use_flash: true
norm_context: true
- rotary_emb: null
+ use_rotary_emb: false
+ one_kv_head: true
decoder:
_target_: text_recognizer.network.transformer.decoder.Decoder
dim: *dim
@@ -33,9 +37,10 @@ decoder:
heads: 12
dim_head: 64
depth: 6
- dropout_rate: 0.1
+ dropout_rate: 0.
+ one_kv_head: true
dim: *dim
dim_latent: *dim
-num_tokens: 58
+num_tokens: 57
pad_index: 3
-num_image_queries: 256
+num_image_queries: 128
diff --git a/training/conf/network/vit_lines.yaml b/training/conf/network/vit_lines.yaml
index 638dae1..a8045c2 100644
--- a/training/conf/network/vit_lines.yaml
+++ b/training/conf/network/vit_lines.yaml
@@ -1,51 +1,39 @@
-_target_: text_recognizer.network.convformer.Convformer
-image_height: 7
-image_width: 128
-patch_height: 7
-patch_width: 1
+_target_: text_recognizer.network.transformer.transformer.Transformer
dim: &dim 768
-num_classes: &num_classes 58
+num_classes: &num_classes 57
encoder:
- _target_: text_recognizer.network.transformer.encoder.Encoder
+ _target_: text_recognizer.network.transformer.vit.Vit
+ image_height: 56
+ image_width: 1024
+ patch_height: 56
+ patch_width: 8
dim: *dim
- inner_dim: 3072
- ff_mult: 4
- heads: 12
- dim_head: 64
- depth: 4
- dropout_rate: 0.1
+ encoder:
+ _target_: text_recognizer.network.transformer.encoder.Encoder
+ dim: *dim
+ heads: 16
+ dim_head: 64
+ ff_mult: 4
+ depth: 6
+ dropout_rate: 0.
+ use_rotary_emb: true
+ one_kv_head: false
+ channels: 1
+ patch_dropout: 0.4
decoder:
_target_: text_recognizer.network.transformer.decoder.Decoder
dim: *dim
- inner_dim: 3072
ff_mult: 4
heads: 12
dim_head: 64
depth: 6
- dropout_rate: 0.1
+ dropout_rate: 0.
+ one_kv_head: false
token_embedding:
_target_: "text_recognizer.network.transformer.embedding.token.\
TokenEmbedding"
num_tokens: *num_classes
dim: *dim
use_l2: true
-tie_embeddings: true
+tie_embeddings: false
pad_index: 3
-channels: 64
-stem:
- _target_: text_recognizer.network.convnext.convnext.ConvNext
- dim: 8
- dim_mults: [2, 8, 8]
- depths: [2, 2, 2]
- attn: null
- # _target_: text_recognizer.network.convnext.transformer.Transformer
- # attn:
- # _target_: text_recognizer.network.convnext.transformer.Attention
- # dim: 64
- # heads: 4
- # dim_head: 64
- # scale: 8
- # ff:
- # _target_: text_recognizer.network.convnext.transformer.FeedForward
- # dim: 64
- # mult: 4
generated by cgit v1.2.3-70-g09d2 (git 2.46.0) at 2025-11-04 09:01:04 +0000