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-rw-r--r--training/conf/callbacks/wandb/watch.yaml2
-rw-r--r--training/conf/decoder/greedy.yaml2
-rw-r--r--training/conf/experiment/mammut_lines.yaml55
-rw-r--r--training/conf/experiment/vit_lines.yaml43
-rw-r--r--training/conf/logger/csv.yaml4
-rw-r--r--training/conf/lr_scheduler/cosine_annealing.yaml2
-rw-r--r--training/conf/model/lit_mammut.yaml4
-rw-r--r--training/conf/network/convnext.yaml16
-rw-r--r--training/conf/network/mammut_lines.yaml41
-rw-r--r--training/conf/network/vit_lines.yaml54
-rw-r--r--training/conf/optimizer/adamw.yaml5
-rw-r--r--training/conf/optimizer/adan.yaml4
-rw-r--r--training/conf/optimizer/lion.yaml5
13 files changed, 180 insertions, 57 deletions
diff --git a/training/conf/callbacks/wandb/watch.yaml b/training/conf/callbacks/wandb/watch.yaml
index 1f60978..945b624 100644
--- a/training/conf/callbacks/wandb/watch.yaml
+++ b/training/conf/callbacks/wandb/watch.yaml
@@ -2,4 +2,4 @@ watch_model:
_target_: callbacks.wandb.WatchModel
log_params: gradients
log_freq: 100
- log_graph: true
+ log_graph: false
diff --git a/training/conf/decoder/greedy.yaml b/training/conf/decoder/greedy.yaml
index a88b5a6..44ef53e 100644
--- a/training/conf/decoder/greedy.yaml
+++ b/training/conf/decoder/greedy.yaml
@@ -1,2 +1,2 @@
-_target_: text_recognizer.model.greedy_decoder.GreedyDecoder
+_target_: text_recognizer.decoder.greedy_decoder.GreedyDecoder
max_output_len: 682
diff --git a/training/conf/experiment/mammut_lines.yaml b/training/conf/experiment/mammut_lines.yaml
new file mode 100644
index 0000000..e74e219
--- /dev/null
+++ b/training/conf/experiment/mammut_lines.yaml
@@ -0,0 +1,55 @@
+# @package _global_
+
+defaults:
+ - override /criterion: cross_entropy
+ - override /callbacks: htr
+ - override /datamodule: iam_lines
+ - override /network: mammut_lines
+ - override /model: lit_mammut
+ - 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
+
+# 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/vit_lines.yaml b/training/conf/experiment/vit_lines.yaml
index f3049ea..08ed481 100644
--- a/training/conf/experiment/vit_lines.yaml
+++ b/training/conf/experiment/vit_lines.yaml
@@ -6,11 +6,11 @@ defaults:
- override /datamodule: iam_lines
- override /network: vit_lines
- override /model: lit_transformer
- - override /lr_scheduler: null
- - override /optimizer: null
+ - override /lr_scheduler: cosine_annealing
+ - override /optimizer: adan
tags: [lines, vit]
-epochs: &epochs 128
+epochs: &epochs 320
ignore_index: &ignore_index 3
# summary: [[1, 1, 56, 1024], [1, 89]]
@@ -26,37 +26,20 @@ criterion:
decoder:
max_output_len: 89
-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
-
-optimizer:
- _target_: adan_pytorch.Adan
- lr: 3.0e-4
- betas: [0.02, 0.08, 0.01]
- weight_decay: 0.02
+# 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:
- _target_: torch.optim.lr_scheduler.ReduceLROnPlateau
- mode: min
- factor: 0.8
- patience: 10
- threshold: 1.0e-4
- threshold_mode: rel
- cooldown: 0
- min_lr: 1.0e-5
- eps: 1.0e-8
- verbose: false
- interval: epoch
- monitor: val/cer
+ T_max: *epochs
datamodule:
- batch_size: 16
+ batch_size: 8
train_fraction: 0.95
model:
diff --git a/training/conf/logger/csv.yaml b/training/conf/logger/csv.yaml
deleted file mode 100644
index 9fa6cad..0000000
--- a/training/conf/logger/csv.yaml
+++ /dev/null
@@ -1,4 +0,0 @@
-csv:
- _target_: pytorch_lightning.loggers.CSVLogger
- name: null
- save_dir: "."
diff --git a/training/conf/lr_scheduler/cosine_annealing.yaml b/training/conf/lr_scheduler/cosine_annealing.yaml
index e8364f0..36e87d4 100644
--- a/training/conf/lr_scheduler/cosine_annealing.yaml
+++ b/training/conf/lr_scheduler/cosine_annealing.yaml
@@ -2,6 +2,6 @@ _target_: torch.optim.lr_scheduler.CosineAnnealingLR
T_max: 256
eta_min: 0.0
last_epoch: -1
-
+verbose: false
interval: epoch
monitor: val/loss
diff --git a/training/conf/model/lit_mammut.yaml b/training/conf/model/lit_mammut.yaml
new file mode 100644
index 0000000..2495692
--- /dev/null
+++ b/training/conf/model/lit_mammut.yaml
@@ -0,0 +1,4 @@
+_target_: text_recognizer.model.mammut.LitMaMMUT
+max_output_len: 682
+caption_loss_weight: 1.0
+contrastive_loss_weight: 1.0
diff --git a/training/conf/network/convnext.yaml b/training/conf/network/convnext.yaml
new file mode 100644
index 0000000..40343a7
--- /dev/null
+++ b/training/conf/network/convnext.yaml
@@ -0,0 +1,16 @@
+_target_: text_recognizer.network.convnext.convnext.ConvNext
+dim: 8
+dim_mults: [2, 8]
+depths: [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
+ ff:
+ _target_: text_recognizer.network.convnext.transformer.FeedForward
+ dim: 64
+ mult: 4
diff --git a/training/conf/network/mammut_lines.yaml b/training/conf/network/mammut_lines.yaml
new file mode 100644
index 0000000..f1c73d0
--- /dev/null
+++ b/training/conf/network/mammut_lines.yaml
@@ -0,0 +1,41 @@
+_target_: text_recognizer.network.mammut.MaMMUT
+encoder:
+ _target_: text_recognizer.network.vit.Vit
+ image_height: 56
+ image_width: 1024
+ patch_height: 56
+ patch_width: 8
+ dim: &dim 512
+ encoder:
+ _target_: text_recognizer.network.transformer.encoder.Encoder
+ dim: *dim
+ heads: 12
+ dim_head: 64
+ ff_mult: 4
+ depth: 6
+ dropout_rate: 0.1
+ channels: 1
+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
+ rotary_emb: null
+decoder:
+ _target_: text_recognizer.network.transformer.decoder.Decoder
+ dim: *dim
+ ff_mult: 4
+ heads: 12
+ dim_head: 64
+ depth: 6
+ dropout_rate: 0.1
+dim: *dim
+dim_latent: *dim
+num_tokens: 58
+pad_index: 3
+num_image_queries: 256
diff --git a/training/conf/network/vit_lines.yaml b/training/conf/network/vit_lines.yaml
index f32cb83..638dae1 100644
--- a/training/conf/network/vit_lines.yaml
+++ b/training/conf/network/vit_lines.yaml
@@ -1,37 +1,51 @@
-_target_: text_recognizer.network.vit.VisionTransformer
-image_height: 56
-image_width: 1024
-patch_height: 28
-patch_width: 32
-dim: &dim 1024
+_target_: text_recognizer.network.convformer.Convformer
+image_height: 7
+image_width: 128
+patch_height: 7
+patch_width: 1
+dim: &dim 768
num_classes: &num_classes 58
encoder:
_target_: text_recognizer.network.transformer.encoder.Encoder
dim: *dim
- inner_dim: 2048
- heads: 16
+ inner_dim: 3072
+ ff_mult: 4
+ heads: 12
dim_head: 64
- depth: 6
- dropout_rate: 0.0
+ depth: 4
+ dropout_rate: 0.1
decoder:
_target_: text_recognizer.network.transformer.decoder.Decoder
dim: *dim
- inner_dim: 2048
- heads: 16
+ inner_dim: 3072
+ ff_mult: 4
+ heads: 12
dim_head: 64
depth: 6
- dropout_rate: 0.0
+ dropout_rate: 0.1
token_embedding:
_target_: "text_recognizer.network.transformer.embedding.token.\
TokenEmbedding"
num_tokens: *num_classes
dim: *dim
use_l2: true
-pos_embedding:
- _target_: "text_recognizer.network.transformer.embedding.absolute.\
- AbsolutePositionalEmbedding"
- dim: *dim
- max_length: 89
- use_l2: true
-tie_embeddings: false
+tie_embeddings: true
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
diff --git a/training/conf/optimizer/adamw.yaml b/training/conf/optimizer/adamw.yaml
new file mode 100644
index 0000000..568c67b
--- /dev/null
+++ b/training/conf/optimizer/adamw.yaml
@@ -0,0 +1,5 @@
+_target_: torch.optim.AdamW
+lr: 1.5e-4
+betas: [0.95, 0.98]
+weight_decay: 1.0e-2
+eps: 1.0e-6
diff --git a/training/conf/optimizer/adan.yaml b/training/conf/optimizer/adan.yaml
new file mode 100644
index 0000000..6950a86
--- /dev/null
+++ b/training/conf/optimizer/adan.yaml
@@ -0,0 +1,4 @@
+_target_: adan_pytorch.Adan
+lr: 2.0e-4
+betas: [0.02, 0.08, 0.01]
+weight_decay: 0.02
diff --git a/training/conf/optimizer/lion.yaml b/training/conf/optimizer/lion.yaml
new file mode 100644
index 0000000..cbf386a
--- /dev/null
+++ b/training/conf/optimizer/lion.yaml
@@ -0,0 +1,5 @@
+_target_: lion_pytorch.Lion
+lr: 5e-5
+betas: [0.95, 0.99]
+weight_decay: 0.1
+use_triton: true
generated by cgit v1.2.3-70-g09d2 (git 2.46.0) at 2024-12-24 03:29:47 +0000