Training in progress, step 200

.gitignore

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config.json

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+  "_name_or_path": "facebook/detr-resnet-50",
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+  "architectures": [
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+  "backbone": "resnet50",
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+  "giou_cost": 2,
+  "giou_loss_coefficient": 2,
+  "id2label": {
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+    "1": "hop_jn",
+    "2": "hop_vtg",
+    "3": "hop_ytv",
+    "4": "lo_kids",
+    "5": "lo_ytv",
+    "6": "loc_ytv",
+    "7": "loc_kids",
+    "8": "loc_dln",
+    "9": "bot_dln",
+    "10": "loc_jn"
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+  "is_encoder_decoder": true,
+  "label2id": {
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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": "4.7.0.dev0",
+  "use_pretrained_backbone": true,
+  "use_timm_backbone": true
+}

preprocessor_config.json

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+{
+  "do_normalize": true,
+  "do_pad": true,
+  "do_rescale": true,
+  "do_resize": true,
+  "format": "coco_detection",
+  "image_mean": [
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+    0.456,
+    0.406
+  ],
+  "image_processor_type": "DetrImageProcessor",
+  "image_std": [
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+    0.224,
+    0.225
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+  "resample": 2,
+  "rescale_factor": 0.00392156862745098,
+  "size": {
+    "longest_edge": 1333,
+    "shortest_edge": 800
+  }
+}

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