Delete vgg-seq2seq.yaml

vgg-seq2seq.yaml

@@ -1,90 +0,0 @@
-project: vietocr_new
-name: Train
-
-device: cuda:0
-
-# change to list chars of your dataset or use default vietnamese chars
-vocab: 'aAàÀảẢãÃáÁạẠăĂằẰẳẲẵẴắẮặẶâÂầẦẩẨẫẪấẤậẬbBcCdDđĐeEèÈẻẺẽẼéÉẹẸêÊềỀểỂễỄếẾệỆfFgGhHiIìÌỉỈĩĨíÍịỊjJkKlLmMnNoOòÒỏỎõÕóÓọỌôÔồỒổỔỗỖốỐộỘơƠờỜởỞỡỠớỚợỢpPqQrRsStTuUùÙủỦũŨúÚụỤưƯừỪửỬữỮứỨựỰvVwWxXyYỳỲỷỶỹỸýÝỵỴzZ0123456789!"#$%&''()*+,-./:;<=>?@[\]^_`{|}~ '
-
-seq_modeling: seq2seq
-transformer:  
-  encoder_hidden: 256
-  decoder_hidden: 256
-  img_channel: 256
-  decoder_embedded: 256
-  dropout: 0.1
-
-optimizer:
-  max_lr: 0.001 
-  pct_start: 0.1
-
-trainer:
-  batch_size: 128
-  print_every: 100
-  valid_every: 500
-  test_every: 500
-  iters: 10000
-  # where to save our model for prediction
-  export: weights/train_model.pth
-  checkpoint: ./checkpoint/checkpoint_model.pth
-  log: ./train.log
-  # null to disable compuate accuracy, or change to number of sample to enable validiation while training
-  metrics: 49228
-  test_metrics: 28918
-  pretrained: false
-
-dataset:    
-  # path to image
-  data_root: /mnt/disk3/CGGANv2
-  # path to annotation
-  train_annotation: datasets/labels/train.txt
-  valid_annotation: datasets/labels/valid.txt
-  test_annotation: datasets/labels/test.txt
-  # path to lmdb datasets
-  train_lmdb: datasets/lmdb/train
-  valid_lmdb: datasets/lmdb/valid
-  test_lmdb: datasets/lmdb/test
-
-  # resize image to 32 height, larger height will increase accuracy
-  image_height: 32
-  image_min_width: 32
-  image_max_width: 512
-
-dataloader:
-  num_workers: 12
-  pin_memory: true
-
-aug:
-  image_aug: false
-  masked_language_model: false
-
-predictor:
-  # disable or enable beamsearch while prediction, use beamsearch will be slower
-  beamsearch: false
-
-quiet: false
-
-# for train
-pretrain: https://vocr.vn/data/vietocr/vgg_seq2seq.pth
-
-# url or local path (for predict)
-weights: https://vocr.vn/data/vietocr/vgg_seq2seq.pth
-
-backbone: vgg19_bn
-cnn:
-  # pooling stride size
-  ss:
-    - [2, 2]
-    - [2, 2]
-    - [2, 1]
-    - [2, 1]
-    - [1, 1]         
-  # pooling kernel size 
-  ks:
-    - [2, 2]
-    - [2, 2]
-    - [2, 1]
-    - [2, 1]
-    - [1, 1]
-  # dim of ouput feature map
-  hidden: 256