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added_tokens.json

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+  "</s_DATE>": 57525,
+  "</s_STATE>": 57529,
+  "</s_ZIP>": 57531,
+  "<s_>": 57533,
+  "<s_CITY>": 57528,
+  "<s_DATE>": 57526,
+  "<s_STATE>": 57530,
+  "<s_ZIP>": 57532,
+  "<s_iitcdip>": 57523,
+  "<s_synthdog>": 57524,
+  "<sep/>": 57522
+}

artifacts.ckpt

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+oid sha256:1b49ee8f3386da5f52c66900b064faecae661e83f165d58a5b3542173bdfd431
+size 1608922140

config.json

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+{
+  "_name_or_path": "naver-clova-ix/donut-base",
+  "align_long_axis": false,
+  "architectures": [
+    "DonutModel"
+  ],
+  "decoder_layer": 4,
+  "encoder_layer": [
+    2,
+    2,
+    14,
+    2
+  ],
+  "input_size": [
+    1280,
+    960
+  ],
+  "max_length": 768,
+  "max_position_embeddings": 768,
+  "model_type": "donut",
+  "torch_dtype": "float32",
+  "transformers_version": "4.25.1",
+  "window_size": 10
+}

config.yaml

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+resume_from_checkpoint_path: None
+result_path: './result'
+pretrained_model_name_or_path: 'naver-clova-ix/donut-base'
+dataset_name_or_paths: 
+  - 'dataset/training/nist_form/'
+sort_json_key: False
+train_batch_sizes: 
+  - 2
+val_batch_sizes: 
+  - 2
+input_size: 
+  - 1280
+  - 960
+max_length: 768
+align_long_axis: False
+num_nodes: 1
+seed: 2022
+lr: 3e-05
+warmup_steps: 300
+num_training_samples_per_epoch: 800
+max_epochs: 30
+max_steps: -1
+num_workers: 8
+val_check_interval: 1.0
+check_val_every_n_epoch: 3
+gradient_clip_val: 1.0
+verbose: True
+exp_name: 'train_nist'
+exp_version: '20230905_212956'

events.out.tfevents.1693942211.phy-deino.physics.uu.se.65476.0

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hparams.yaml

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+{}