Training in progress, step 26

config.json

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+  "architectures": [
+    "DetrForObjectDetection"
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+  "auxiliary_loss": false,
+  "backbone": "resnet50",
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+    "out_indices": [
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+      4
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+  "bbox_loss_coefficient": 5,
+  "class_cost": 1,
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+  "d_model": 256,
+  "decoder_attention_heads": 8,
+  "decoder_ffn_dim": 2048,
+  "decoder_layerdrop": 0.0,
+  "decoder_layers": 6,
+  "dice_loss_coefficient": 1,
+  "dilation": false,
+  "dropout": 0.1,
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+  "encoder_layers": 6,
+  "eos_coefficient": 0.1,
+  "giou_cost": 2,
+  "giou_loss_coefficient": 2,
+  "id2label": {
+    "0": "In-portShip",
+    "1": "Out-portShip"
+  },
+  "image_size": [
+    480,
+    1920
+  ],
+  "init_std": 0.02,
+  "init_xavier_std": 1.0,
+  "is_encoder_decoder": true,
+  "label2id": {
+    "In-portShip": 0,
+    "Out-portShip": 1
+  },
+  "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": "4.52.4",
+  "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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+    0.406
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+  "resample": 2,
+  "rescale_factor": 0.00392156862745098,
+  "size": {
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+    "width": 1920
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+}

runs/Jul11_08-41-51_884653f65459/events.out.tfevents.1752223312.884653f65459.1.0

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training_args.bin

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