Training in progress, step 50

config.json

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+{
+  "_name_or_path": "nsugianto/detr-resnet50_finetuned_lstabledetv1s9_lsdocelementdetv1type3_session6",
+  "activation_dropout": 0.0,
+  "activation_function": "relu",
+  "architectures": [
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+  "auxiliary_loss": false,
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+  "dilation": false,
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+  "eos_coefficient": 0.1,
+  "giou_cost": 2,
+  "giou_loss_coefficient": 2,
+  "id2label": {
+    "0": "table",
+    "1": "companylogo",
+    "2": "doctype",
+    "3": "text_1line",
+    "4": "text_multilines",
+    "5": "textgroup",
+    "6": "table_notproduct"
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+  "init_xavier_std": 1.0,
+  "is_encoder_decoder": true,
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+    "doctype": 2,
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+  "max_position_embeddings": 1024,
+  "model_type": "detr",
+  "num_channels": 3,
+  "num_hidden_layers": 6,
+  "num_queries": 100,
+  "position_embedding_type": "sine",
+  "scale_embedding": false,
+  "torch_dtype": "float32",
+  "transformers_version": "4.41.0.dev0",
+  "use_pretrained_backbone": true,
+  "use_timm_backbone": true
+}

model.safetensors

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preprocessor_config.json

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+{
+  "_valid_processor_keys": [
+    "images",
+    "annotations",
+    "return_segmentation_masks",
+    "masks_path",
+    "do_resize",
+    "size",
+    "resample",
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+    "input_data_format"
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+  "do_resize": true,
+  "format": "coco_detection",
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+  "image_processor_type": "DetrImageProcessor",
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+  "rescale_factor": 0.00392156862745098,
+  "size": {
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+    "shortest_edge": 800
+  }
+}

runs/Apr24_10-31-34_ip-172-31-44-225/events.out.tfevents.1713954697.ip-172-31-44-225.1697978.1

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training_args.bin

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