Training in progress, step 200

config.json

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+{
+  "_name_or_path": "jozhang97/deta-swin-large",
+  "activation_dropout": 0.0,
+  "activation_function": "relu",
+  "architectures": [
+    "DetaForObjectDetection"
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+  "assign_second_stage": true,
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+  "auxiliary_loss": false,
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+    "embed_dim": 192,
+    "encoder_stride": 32,
+    "hidden_act": "gelu",
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+    "hidden_size": 1536,
+    "image_size": 224,
+    "initializer_range": 0.02,
+    "layer_norm_eps": 1e-05,
+    "mlp_ratio": 4.0,
+    "model_type": "swin",
+    "num_heads": [
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+      12,
+      24,
+      48
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+    "num_layers": 4,
+    "out_features": [
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+      "stage3",
+      "stage4"
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+      3,
+      4
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+    "path_norm": true,
+    "qkv_bias": true,
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+    "window_size": 12
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+  "bbox_cost": 5,
+  "bbox_loss_coefficient": 5,
+  "class_cost": 1,
+  "d_model": 256,
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+  "decoder_ffn_dim": 2048,
+  "decoder_layerdrop": 0.0,
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+  "decoder_n_points": 4,
+  "dice_loss_coefficient": 1,
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+  "focal_alpha": 0.25,
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+  "giou_loss_coefficient": 2,
+  "id2label": {
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+  "is_encoder_decoder": true,
+  "label2id": {
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+  "mask_loss_coefficient": 1,
+  "max_position_embeddings": 2048,
+  "model_type": "deta",
+  "num_feature_levels": 5,
+  "num_queries": 900,
+  "position_embedding_type": "sine",
+  "torch_dtype": "float32",
+  "transformers_version": "4.38.2",
+  "two_stage": true,
+  "two_stage_num_proposals": 300,
+  "use_pretrained_backbone": false,
+  "use_timm_backbone": false,
+  "with_box_refine": 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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+    0.456,
+    0.406
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+  "image_processor_type": "DetaImageProcessor",
+  "image_std": [
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+  "rescale_factor": 0.00392156862745098,
+  "size": {
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+    "shortest_edge": 800
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+}

runs/Apr05_04-11-58_61908f1da4d5/events.out.tfevents.1712290330.61908f1da4d5.73078.0

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runs/Apr05_04-13-20_61908f1da4d5/events.out.tfevents.1712290405.61908f1da4d5.73078.2

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training_args.bin

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