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README.md

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+
+---
+library_name: transformers
+tags:
+- autotrain
+- object-detection
+- vision
+base_model: microsoft/table-transformer-detection
+widget:
+- src: https://huggingface.co/datasets/mishig/sample_images/resolve/main/tiger.jpg
+  example_title: Tiger
+- src: https://huggingface.co/datasets/mishig/sample_images/resolve/main/teapot.jpg
+  example_title: Teapot
+- src: https://huggingface.co/datasets/mishig/sample_images/resolve/main/palace.jpg
+  example_title: Palace
+---
+
+# Model Trained Using AutoTrain
+
+- Problem type: Object Detection
+
+## Validation Metrics
+loss: 5.154430389404297
+
+map: 0.0
+
+map_50: 0.0
+
+map_75: 0.0
+
+map_small: -1.0
+
+map_medium: 0.0
+
+map_large: -1.0
+
+mar_1: 0.0
+
+mar_10: 0.0
+
+mar_100: 0.0
+
+mar_small: -1.0
+
+mar_medium: 0.0
+
+mar_large: -1.0

checkpoint-1/config.json

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+{
+  "_name_or_path": "microsoft/table-transformer-detection",
+  "activation_dropout": 0.0,
+  "activation_function": "relu",
+  "architectures": [
+    "TableTransformerForObjectDetection"
+  ],
+  "attention_dropout": 0.0,
+  "auxiliary_loss": false,
+  "backbone": "resnet18",
+  "backbone_config": null,
+  "backbone_kwargs": {
+    "in_chans": 3,
+    "out_indices": [
+      1,
+      2,
+      3,
+      4
+    ]
+  },
+  "bbox_cost": 5,
+  "bbox_loss_coefficient": 5,
+  "ce_loss_coefficient": 1,
+  "class_cost": 1,
+  "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,
+  "encoder_attention_heads": 8,
+  "encoder_ffn_dim": 2048,
+  "encoder_layerdrop": 0.0,
+  "encoder_layers": 6,
+  "eos_coefficient": 0.4,
+  "giou_cost": 2,
+  "giou_loss_coefficient": 2,
+  "id2label": {
+    "0": 0
+  },
+  "init_std": 0.02,
+  "init_xavier_std": 1.0,
+  "is_encoder_decoder": true,
+  "label2id": {
+    "0": 0
+  },
+  "mask_loss_coefficient": 1,
+  "max_position_embeddings": 1024,
+  "model_type": "table-transformer",
+  "num_channels": 3,
+  "num_hidden_layers": 6,
+  "num_queries": 15,
+  "position_embedding_type": "sine",
+  "scale_embedding": false,
+  "torch_dtype": "float32",
+  "transformers_version": "4.48.0",
+  "use_pretrained_backbone": true,
+  "use_timm_backbone": true
+}

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checkpoint-1/preprocessor_config.json

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+  "do_rescale": true,
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checkpoint-1/trainer_state.json

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config.json

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+  "activation_dropout": 0.0,
+  "activation_function": "relu",
+  "architectures": [
+    "TableTransformerForObjectDetection"
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+  "backbone": "resnet18",
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+  "model_type": "table-transformer",
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+  "num_queries": 15,
+  "position_embedding_type": "sine",
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+  "torch_dtype": "float32",
+  "transformers_version": "4.48.0",
+  "use_pretrained_backbone": true,
+  "use_timm_backbone": true
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training_params.json

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+}