Training in progress, step 500

.gitignore

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config.json

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+{
+  "_name_or_path": "microsoft/layoutlmv3-base",
+  "architectures": [
+    "LayoutLMv3ForTokenClassification"
+  ],
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+  "hidden_act": "gelu",
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+  "hidden_size": 768,
+  "id2label": {
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+    "1": "B-ABN",
+    "2": "B-BILLER",
+    "3": "B-BILLER_ADDRESS",
+    "4": "B-BILLER_POST_CODE",
+    "5": "B-DUE_DATE",
+    "6": "B-GST",
+    "7": "B-INVOICE_DATE",
+    "8": "B-INVOICE_NUMBER",
+    "9": "B-SUBTOTAL",
+    "10": "B-TOTAL",
+    "11": "I-BILLER_ADDRESS"
+  },
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+  "input_size": 224,
+  "intermediate_size": 3072,
+  "label2id": {
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+    "B-BILLER": 2,
+    "B-BILLER_ADDRESS": 3,
+    "B-BILLER_POST_CODE": 4,
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+    "B-SUBTOTAL": 9,
+    "B-TOTAL": 10,
+    "I-BILLER_ADDRESS": 11,
+    "O": 0
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+  "layer_norm_eps": 1e-05,
+  "max_2d_position_embeddings": 1024,
+  "max_position_embeddings": 514,
+  "max_rel_2d_pos": 256,
+  "max_rel_pos": 128,
+  "model_type": "layoutlmv3",
+  "num_attention_heads": 12,
+  "num_channels": 3,
+  "num_hidden_layers": 12,
+  "pad_token_id": 1,
+  "patch_size": 16,
+  "rel_2d_pos_bins": 64,
+  "rel_pos_bins": 32,
+  "second_input_size": 112,
+  "shape_size": 128,
+  "text_embed": true,
+  "torch_dtype": "float32",
+  "transformers_version": "4.20.0.dev0",
+  "type_vocab_size": 1,
+  "visual_embed": true,
+  "vocab_size": 50265
+}

preprocessor_config.json

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+{
+  "apply_ocr": false,
+  "do_normalize": true,
+  "do_resize": true,
+  "feature_extractor_type": "LayoutLMv3FeatureExtractor",
+  "image_mean": [
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+    0.5,
+    0.5
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+  "image_std": [
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+  "ocr_lang": null,
+  "processor_class": "LayoutLMv3Processor",
+  "resample": 2,
+  "size": 224
+}

pytorch_model.bin

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special_tokens_map.json

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+    "rstrip": false,
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+}

tokenizer_config.json

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+{
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+  "apply_ocr": false,
+  "bos_token": {
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+  "name_or_path": "microsoft/layoutlmv3-base",
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training_args.bin

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