Training in progress, step 500

.gitignore

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config.json

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+{
+  "_name_or_path": "microsoft/layoutlmv3-base",
+  "architectures": [
+    "LayoutLMv3ForTokenClassification"
+  ],
+  "attention_probs_dropout_prob": 0.1,
+  "bos_token_id": 0,
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+  "coordinate_size": 128,
+  "eos_token_id": 2,
+  "has_relative_attention_bias": true,
+  "has_spatial_attention_bias": true,
+  "hidden_act": "gelu",
+  "hidden_dropout_prob": 0.1,
+  "hidden_size": 768,
+  "id2label": {
+    "0": "O",
+    "1": "B-reddito",
+    "2": "B-ragione_sociale_datore",
+    "3": "B-progressivo_irpef",
+    "4": "B-progressivo_inps",
+    "5": "B-paga_base_mensile",
+    "6": "B-p.iva/cod.fisc._datore_di_lavoro",
+    "7": "B-matricola",
+    "8": "B-indirizzo_luogo_di_lavoro",
+    "9": "B-data_stampa",
+    "10": "B-data_assunzione",
+    "11": "B-contingenza",
+    "12": "B-competenza",
+    "13": "B-cognome_e_nome",
+    "14": "B-cig",
+    "15": "B-assegni_ANF",
+    "16": "B-acconto"
+  },
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+  "input_size": 224,
+  "intermediate_size": 3072,
+  "label2id": {
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+    "B-assegni_ANF": 15,
+    "B-cig": 14,
+    "B-cognome_e_nome": 13,
+    "B-competenza": 12,
+    "B-contingenza": 11,
+    "B-data_assunzione": 10,
+    "B-data_stampa": 9,
+    "B-indirizzo_luogo_di_lavoro": 8,
+    "B-matricola": 7,
+    "B-p.iva/cod.fisc._datore_di_lavoro": 6,
+    "B-paga_base_mensile": 5,
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+    "B-progressivo_irpef": 3,
+    "B-ragione_sociale_datore": 2,
+    "B-reddito": 1,
+    "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": "4.25.0.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_rescale": true,
+  "do_resize": true,
+  "feature_extractor_type": "LayoutLMv3FeatureExtractor",
+  "image_mean": [
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+    0.5,
+    0.5
+  ],
+  "image_processor_type": "LayoutLMv3ImageProcessor",
+  "image_std": [
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+  "ocr_lang": null,
+  "processor_class": "LayoutLMv3Processor",
+  "resample": 2,
+  "rescale_factor": 0.00392156862745098,
+  "size": {
+    "height": 224,
+    "width": 224
+  },
+  "tesseract_config": ""
+}

pytorch_model.bin

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special_tokens_map.json

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+{
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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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+  "model_max_length": 512,
+  "name_or_path": "microsoft/layoutlmv3-base",
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training_args.bin

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