Training in progress, step 200

config.json

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+  "activation_function": "relu",
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+  "backbone": "resnet50",
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+  "giou_cost": 2,
+  "giou_loss_coefficient": 2,
+  "id2label": {
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+    "1": "Cat",
+    "2": "Grey_star",
+    "3": "Insect",
+    "4": "Moon",
+    "5": "Owl",
+    "6": "Unicorn_head",
+    "7": "Unicorn_whole"
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+  "is_encoder_decoder": true,
+  "label2id": {
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+    "Cat": 1,
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+    "Insect": 3,
+    "Moon": 4,
+    "Owl": 5,
+    "Unicorn_head": 6,
+    "Unicorn_whole": 7
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+  "max_position_embeddings": 1024,
+  "model_type": "detr",
+  "num_channels": 3,
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+  "num_queries": 100,
+  "position_embedding_type": "sine",
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+  "torch_dtype": "float32",
+  "transformers_version": "4.35.0",
+  "use_pretrained_backbone": true,
+  "use_timm_backbone": true
+}

model.safetensors

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preprocessor_config.json

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+  "do_pad": true,
+  "do_rescale": true,
+  "do_resize": true,
+  "format": "coco_detection",
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runs/Nov13_07-44-48_136b84aed534/events.out.tfevents.1699861497.136b84aed534.1006.0

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runs/Nov13_07-49-28_136b84aed534/events.out.tfevents.1699861802.136b84aed534.1006.2

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training_args.bin

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