Training in progress, step 300

config.json

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+  "_name_or_path": "facebook/detr-resnet-101",
+  "activation_dropout": 0.0,
+  "activation_function": "relu",
+  "architectures": [
+    "DetrForObjectDetection"
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+  "auxiliary_loss": false,
+  "backbone": "resnet101",
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+  "giou_cost": 2,
+  "giou_loss_coefficient": 2,
+  "id2label": {
+    "1": "Pedestrian",
+    "2": "Cyclist",
+    "3": "Car",
+    "4": "Truck",
+    "5": "Tram ",
+    "6": "Tricycle"
+  },
+  "init_std": 0.02,
+  "init_xavier_std": 1.0,
+  "is_encoder_decoder": true,
+  "label2id": {
+    "Car": 3,
+    "Cyclist": 2,
+    "Pedestrian": 1,
+    "Tram ": 5,
+    "Tricycle": 6,
+    "Truck": 4
+  },
+  "mask_loss_coefficient": 1,
+  "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": "4.35.0",
+  "use_pretrained_backbone": true,
+  "use_timm_backbone": true
+}

model.safetensors

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preprocessor_config.json

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+  "do_rescale": true,
+  "do_resize": true,
+  "feature_extractor_type": "DetrFeatureExtractor",
+  "format": "coco_detection",
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runs/Nov10_23-32-27_9c2e079259f6/events.out.tfevents.1699659169.9c2e079259f6.47.2

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