Training in progress, step 2

config.json

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+  "activation_function": "relu",
+  "architectures": [
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+  "backbone": "resnet50",
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+  "giou_cost": 2,
+  "giou_loss_coefficient": 2,
+  "id2label": {
+    "0": "table",
+    "1": "nontable",
+    "2": "header",
+    "3": "footer",
+    "4": "text"
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+  "init_std": 0.02,
+  "init_xavier_std": 1.0,
+  "is_encoder_decoder": true,
+  "label2id": {
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+    "header": 2,
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+    "table": 0,
+    "text": 4
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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": "4.38.2",
+  "use_pretrained_backbone": true,
+  "use_timm_backbone": true
+}

model.safetensors

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preprocessor_config.json

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+  "do_convert_annotations": true,
+  "do_normalize": true,
+  "do_pad": true,
+  "do_rescale": true,
+  "do_resize": true,
+  "format": "coco_detection",
+  "image_mean": [
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+}

runs/Mar27_10-04-59_b2cd78ddb1a5/events.out.tfevents.1711533900.b2cd78ddb1a5.732.2

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training_args.bin

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