Training in progress, epoch 1

.gitignore

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+checkpoint-*/

config.json

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+{
+  "_name_or_path": "microsoft/layoutlmv2-base-uncased",
+  "architectures": [
+    "LayoutLMv2ForTokenClassification"
+  ],
+  "attention_probs_dropout_prob": 0.1,
+  "convert_sync_batchnorm": true,
+  "coordinate_size": 128,
+  "detectron2_config_args": {
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+      [
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+      [
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+    "MODEL.BACKBONE.NAME": "build_resnet_fpn_backbone",
+    "MODEL.FPN.IN_FEATURES": [
+      "res2",
+      "res3",
+      "res4",
+      "res5"
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+    "MODEL.PIXEL_STD": [
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+    "MODEL.RESNETS.ASPECT_RATIOS": [
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+        1.0,
+        2.0
+      ]
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+    "MODEL.RESNETS.DEPTH": 101,
+    "MODEL.RESNETS.NUM_GROUPS": 32,
+    "MODEL.RESNETS.OUT_FEATURES": [
+      "res2",
+      "res3",
+      "res4",
+      "res5"
+    ],
+    "MODEL.RESNETS.SIZES": [
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+      ],
+      [
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+      [
+        128
+      ],
+      [
+        256
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+      [
+        512
+      ]
+    ],
+    "MODEL.RESNETS.STRIDE_IN_1X1": false,
+    "MODEL.RESNETS.WIDTH_PER_GROUP": 8,
+    "MODEL.ROI_BOX_HEAD.NAME": "FastRCNNConvFCHead",
+    "MODEL.ROI_BOX_HEAD.NUM_FC": 2,
+    "MODEL.ROI_BOX_HEAD.POOLER_RESOLUTION": 14,
+    "MODEL.ROI_HEADS.IN_FEATURES": [
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+      "p3",
+      "p4",
+      "p5"
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+    "MODEL.ROI_HEADS.NAME": "StandardROIHeads",
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+    "MODEL.ROI_MASK_HEAD.NAME": "MaskRCNNConvUpsampleHead",
+    "MODEL.ROI_MASK_HEAD.NUM_CONV": 4,
+    "MODEL.ROI_MASK_HEAD.POOLER_RESOLUTION": 7,
+    "MODEL.RPN.IN_FEATURES": [
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+      "p3",
+      "p4",
+      "p5",
+      "p6"
+    ],
+    "MODEL.RPN.POST_NMS_TOPK_TRAIN": 1000,
+    "MODEL.RPN.PRE_NMS_TOPK_TEST": 1000,
+    "MODEL.RPN.PRE_NMS_TOPK_TRAIN": 2000
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+  "fast_qkv": true,
+  "gradient_checkpointing": false,
+  "has_relative_attention_bias": true,
+  "has_spatial_attention_bias": true,
+  "has_visual_segment_embedding": false,
+  "hidden_act": "gelu",
+  "hidden_dropout_prob": 0.1,
+  "hidden_size": 768,
+  "id2label": {
+    "0": "S-DOB_KEY",
+    "1": "I-DOB_KEY",
+    "2": "E-DOB_VALUE",
+    "3": "E-PATIENT_NAME_KEY",
+    "4": "B-PATIENT_NAME_KEY",
+    "5": "B-DOCTOR_NAME_VALUE",
+    "6": "I-PATIENT_NAME_KEY",
+    "7": "I-PATIENT_NAME_VALUE",
+    "8": "S-PATIENT_NAME_KEY",
+    "9": "B-PATIENT_NAME_VALUE",
+    "10": "S-DOB_VALUE",
+    "11": "E-DOCTOR_NAME_KEY",
+    "12": "O",
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+    "14": "E-DOB_KEY",
+    "15": "S-DOCTOR_NAME_KEY",
+    "16": "I-DOB_VALUE",
+    "17": "B-DOB_VALUE",
+    "18": "B-DOB_KEY",
+    "19": "E-PATIENT_NAME_VALUE",
+    "20": "E-DOCTOR_NAME_VALUE",
+    "21": "I-DOCTOR_NAME_VALUE",
+    "22": "I-DOCTOR_NAME_KEY"
+  },
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+  "intermediate_size": 3072,
+  "label2id": {
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+    "I-PATIENT_NAME_VALUE": 7,
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+    "S-DOB_KEY": 0,
+    "S-DOB_VALUE": 10,
+    "S-DOCTOR_NAME_KEY": 15,
+    "S-PATIENT_NAME_KEY": 8
+  },
+  "layer_norm_eps": 1e-12,
+  "max_2d_position_embeddings": 1024,
+  "max_position_embeddings": 512,
+  "max_rel_2d_pos": 256,
+  "max_rel_pos": 128,
+  "model_type": "layoutlmv2",
+  "num_attention_heads": 12,
+  "num_hidden_layers": 12,
+  "output_past": true,
+  "pad_token_id": 0,
+  "rel_2d_pos_bins": 64,
+  "rel_pos_bins": 32,
+  "shape_size": 128,
+  "torch_dtype": "float32",
+  "transformers_version": "4.23.0.dev0",
+  "type_vocab_size": 2,
+  "vocab_size": 30522
+}

pytorch_model.bin

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runs/Oct07_10-24-51_1ad834c1cec2/1665138307.218415/events.out.tfevents.1665138307.1ad834c1cec2.753.1

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special_tokens_map.json

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+{
+  "cls_token": "[CLS]",
+  "mask_token": "[MASK]",
+  "pad_token": "[PAD]",
+  "sep_token": "[SEP]",
+  "unk_token": "[UNK]"
+}

tokenizer_config.json

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+{
+  "additional_special_tokens": null,
+  "cls_token": "[CLS]",
+  "cls_token_box": [
+    0,
+    0,
+    0,
+    0
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+  "do_basic_tokenize": true,
+  "do_lower_case": true,
+  "mask_token": "[MASK]",
+  "model_max_length": 512,
+  "name_or_path": "microsoft/layoutlmv2-base-uncased",
+  "never_split": null,
+  "only_label_first_subword": true,
+  "pad_token": "[PAD]",
+  "pad_token_box": [
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+  "pad_token_label": -100,
+  "sep_token": "[SEP]",
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+  "special_tokens_map_file": null,
+  "strip_accents": null,
+  "tokenize_chinese_chars": true,
+  "tokenizer_class": "LayoutLMv2Tokenizer",
+  "unk_token": "[UNK]"
+}

training_args.bin

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