Training in progress, step 50

config.json

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+{
+  "_name_or_path": "microsoft/table-transformer-detection",
+  "activation_dropout": 0.0,
+  "activation_function": "relu",
+  "architectures": [
+    "TableTransformerForObjectDetection"
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+  "backbone": "resnet18",
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+  "ce_loss_coefficient": 1,
+  "class_cost": 1,
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+  "decoder_attention_heads": 8,
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+  "decoder_layers": 6,
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+  "giou_cost": 2,
+  "giou_loss_coefficient": 2,
+  "id2label": {
+    "0": "table"
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+  "init_std": 0.02,
+  "init_xavier_std": 1.0,
+  "is_encoder_decoder": true,
+  "label2id": {
+    "table": 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": "4.41.0.dev0",
+  "use_pretrained_backbone": true,
+  "use_timm_backbone": true
+}

model.safetensors

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preprocessor_config.json

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+{
+  "_valid_processor_keys": [
+    "images",
+    "annotations",
+    "return_segmentation_masks",
+    "masks_path",
+    "do_resize",
+    "size",
+    "resample",
+    "do_rescale",
+    "rescale_factor",
+    "do_normalize",
+    "do_convert_annotations",
+    "image_mean",
+    "image_std",
+    "do_pad",
+    "format",
+    "return_tensors",
+    "data_format",
+    "input_data_format"
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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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+  "image_processor_type": "DetrImageProcessor",
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+  "rescale_factor": 0.00392156862745098,
+  "size": {
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+    "shortest_edge": 800
+  }
+}

runs/Jun15_17-59-49_ip-172-31-44-225/events.out.tfevents.1718474391.ip-172-31-44-225.3404.0

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training_args.bin

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