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-rw-r--r--training/conf/network/vit_lines.yaml54
1 files changed, 34 insertions, 20 deletions
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