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| # change to list chars of your dataset or use default vietnamese chars | |
| vocab: 'aAàÀảẢãÃáÁạẠăĂằẰẳẲẵẴắẮặẶâÂầẦẩẨẫẪấẤậẬbBcCdDđĐeEèÈẻẺẽẼéÉẹẸêÊềỀểỂễỄếẾệỆfFgGhHiIìÌỉỈĩĨíÍịỊjJkKlLmMnNoOòÒỏỎõÕóÓọỌôÔồỒổỔỗỖốỐộỘơƠờỜởỞỡỠớỚợỢpPqQrRsStTuUùÙủỦũŨúÚụỤưƯừỪửỬữỮứỨựỰvVwWxXyYỳỲỷỶỹỸýÝỵỴzZ0123456789!"#$%&''()*+,-./:;<=>?@[\]^_`{|}~ ' | |
| # cpu, cuda, cuda:0 | |
| device: cuda:0 | |
| seq_modeling: transformer | |
| transformer: | |
| d_model: 256 | |
| nhead: 8 | |
| num_encoder_layers: 6 | |
| num_decoder_layers: 6 | |
| dim_feedforward: 2048 | |
| max_seq_length: 1024 | |
| pos_dropout: 0.1 | |
| trans_dropout: 0.1 | |
| optimizer: | |
| max_lr: 0.0003 | |
| pct_start: 0.1 | |
| trainer: | |
| batch_size: 32 | |
| print_every: 200 | |
| valid_every: 4000 | |
| iters: 100000 | |
| # where to save our model for prediction | |
| export: ./weights/transformerocr.pth | |
| checkpoint: ./checkpoint/transformerocr_checkpoint.pth | |
| log: ./train.log | |
| # null to disable compuate accuracy, or change to number of sample to enable validiation while training | |
| metrics: null | |
| dataset: | |
| # name of your dataset | |
| name: data | |
| # path to annotation and image | |
| data_root: ./img/ | |
| train_annotation: annotation_train.txt | |
| valid_annotation: annotation_val_small.txt | |
| # resize image to 32 height, larger height will increase accuracy | |
| image_height: 32 | |
| image_min_width: 32 | |
| image_max_width: 512 | |
| dataloader: | |
| num_workers: 3 | |
| pin_memory: True | |
| aug: | |
| image_aug: true | |
| masked_language_model: true | |
| predictor: | |
| # disable or enable beamsearch while prediction, use beamsearch will be slower | |
| beamsearch: False | |
| quiet: False | |