Upload model weights for training

.gitattributes

@@ -33,3 +33,5 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
 *.zip filter=lfs diff=lfs merge=lfs -text
 *.zst filter=lfs diff=lfs merge=lfs -text
 *tfevents* filter=lfs diff=lfs merge=lfs -text
+best_accuracy.pdopt filter=lfs diff=lfs merge=lfs -text
+best_accuracy.pdparams filter=lfs diff=lfs merge=lfs -text

best_accuracy.pdopt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:397bf7dc4e9443b43a44412c227aec2d8794e311ec23bfc8b02049418ec6ec18
+size 111245538

best_accuracy.pdparams

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:b952f6898313a9e1dda4b9e36b881ddcaf583357c10195f0df49b005746526fe
+size 89287511

config.yml

@@ -0,0 +1,151 @@
+Global:
+  debug: false
+  use_gpu: true
+  epoch_num: 25
+  log_smooth_window: 20
+  print_batch_step: 50
+  save_model_dir: ./output/final_e25
+  save_epoch_step: 14
+  eval_batch_step:
+  - 0
+  - 697
+  cal_metric_during_train: true
+  pretrained_model: ./models/latin_PP-OCRv3_rec_train/best_accuracy
+  checkpoints: null
+  save_inference_dir: ./inference/final
+  use_visualdl: false
+  infer_img: doc/imgs_words/ch/word_1.jpg
+  character_dict_path: ppocr/utils/dict/latin_dict.txt
+  max_text_length: 25
+  infer_mode: false
+  use_space_char: true
+  distributed: true
+  save_res_path: ./output/rec/predicts_ppocrv3.txt
+  seed: 42
+Optimizer:
+  name: Adam
+  beta1: 0.9
+  beta2: 0.999
+  lr:
+    name: Cosine
+    learning_rate: 0.001
+    warmup_epoch: 5
+  regularizer:
+    name: L2
+    factor: 3.0e-05
+Architecture:
+  model_type: rec
+  algorithm: SVTR
+  Transform: null
+  Backbone:
+    name: MobileNetV1Enhance
+    scale: 0.5
+    last_conv_stride:
+    - 1
+    - 2
+    last_pool_type: avg
+  Head:
+    name: MultiHead
+    head_list:
+    - CTCHead:
+        Neck:
+          name: svtr
+          dims: 64
+          depth: 2
+          hidden_dims: 120
+          use_guide: true
+        Head:
+          fc_decay: 1.0e-05
+    - SARHead:
+        enc_dim: 512
+        max_text_length: 25
+Loss:
+  name: MultiLoss
+  loss_config_list:
+  - CTCLoss: null
+  - SARLoss: null
+PostProcess:
+  name: CTCLabelDecode
+Metric:
+  name: RecMetric
+  main_indicator: acc
+  keep_space: false
+Train:
+  dataset:
+    name: SimpleDataSet
+    data_dir: /data/AIDA/iter4/rivikuvat
+    label_file_list:
+    - /data/AIDA/iter4/annot/train_kone_best_iter2_14_02_24.txt
+    - /data/AIDA/iter4/annot/train_kone_best_iter3_04_03_24.txt
+    - /data/AIDA/iter4/annot/train_sini3_2_19_03_kone_best.txt
+    - /data/AIDA/iter4/annot/train_kasi_best_iter2_14_2_24.txt
+    - /data/AIDA/iter4/annot/train_kasi_best_iter3_04_03_24.txt
+    - /data/AIDA/iter4/annot/train_sini3_2_19_03_kasi_best.txt
+    - /data/AIDA/iter4/annot/normaali_16k_train.txt
+    - /data/AIDA/iter4/annot/shaken_train.txt
+    - /data/AIDA/iter4/annot/noise_k5_train.txt
+    - /data/AIDA/iter4/annot/noise_k5_sin_train.txt
+    transforms:
+    - DecodeImage:
+        img_mode: BGR
+        channel_first: false
+    - RecAug:
+        reverse_prob: 0.25
+        noise_prob: 0.25
+        blur_prob: 0.25
+        hsv_aug_prob: 0.25
+    - MultiLabelEncode: null
+    - SARRecResizeImg:
+        image_shape:
+        - 3
+        - 48
+        - 48
+        - 320
+        width_downsample_ratio: 0.25
+        mode: v3
+    - KeepKeys:
+        keep_keys:
+        - image
+        - label_ctc
+        - label_sar
+        - length
+        - valid_ratio
+  loader:
+    shuffle: true
+    batch_size_per_card: 128
+    drop_last: true
+    num_workers: 22
+Eval:
+  dataset:
+    name: SimpleDataSet
+    data_dir: /data/AIDA/iter4/rivikuvat
+    label_file_list:
+    - /data/AIDA/iter4/annot/valid_kone_best_iter2_filttered_14_2_24.txt
+    - /data/AIDA/iter4/annot/valid_kone_best_iter3_04_03_24.txt
+    - /data/AIDA/iter4/annot/valid_sini3_2_19_03_kone_best.txt
+    transforms:
+    - DecodeImage:
+        img_mode: BGR
+        channel_first: false
+    - MultiLabelEncode: null
+    - SARRecResizeImg:
+        image_shape:
+        - 3
+        - 48
+        - 48
+        - 320
+        width_downsample_ratio: 0.25
+        mode: v3
+    - KeepKeys:
+        keep_keys:
+        - image
+        - label_ctc
+        - label_sar
+        - length
+        - valid_ratio
+  loader:
+    shuffle: false
+    drop_last: false
+    batch_size_per_card: 128
+    num_workers: 16
+profiler_options: null