Training in progress, epoch 1

config.json

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+{
+  "_name_or_path": "facebook/detr-resnet-101",
+  "activation_dropout": 0.0,
+  "activation_function": "relu",
+  "architectures": [
+    "DetrForObjectDetection"
+  ],
+  "attention_dropout": 0.0,
+  "auxiliary_loss": false,
+  "backbone": "resnet101",
+  "backbone_config": null,
+  "bbox_cost": 5,
+  "bbox_loss_coefficient": 5,
+  "class_cost": 1,
+  "classifier_dropout": 0.0,
+  "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": 0.1,
+  "giou_cost": 2,
+  "giou_loss_coefficient": 2,
+  "id2label": {
+    "0": "pet_bottle",
+    "1": "hm_ldpe",
+    "2": "pp_w",
+    "3": "ldpe_wrapper",
+    "4": "hdpe_bottle",
+    "5": "paper",
+    "6": "pp",
+    "7": "aluminium_foil",
+    "8": "multilayer_plastic",
+    "9": "ps",
+    "10": "cardboard",
+    "11": "blister_pack",
+    "12": "aluminium_can",
+    "13": "tetrapack",
+    "14": "others"
+  },
+  "init_std": 0.02,
+  "init_xavier_std": 1.0,
+  "is_encoder_decoder": true,
+  "label2id": {
+    "aluminium_can": 12,
+    "aluminium_foil": 7,
+    "blister_pack": 11,
+    "cardboard": 10,
+    "hdpe_bottle": 4,
+    "hm_ldpe": 1,
+    "ldpe_wrapper": 3,
+    "multilayer_plastic": 8,
+    "others": 14,
+    "paper": 5,
+    "pet_bottle": 0,
+    "pp": 6,
+    "pp_w": 2,
+    "ps": 9,
+    "tetrapack": 13
+  },
+  "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": "4.32.1",
+  "use_pretrained_backbone": true,
+  "use_timm_backbone": true
+}

preprocessor_config.json

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+{
+  "do_normalize": true,
+  "do_pad": true,
+  "do_rescale": true,
+  "do_resize": true,
+  "format": "coco_detection",
+  "image_mean": [
+    0.485,
+    0.456,
+    0.406
+  ],
+  "image_processor_type": "DetrImageProcessor",
+  "image_std": [
+    0.229,
+    0.224,
+    0.225
+  ],
+  "resample": 2,
+  "rescale_factor": 0.00392156862745098,
+  "size": {
+    "longest_edge": 1333,
+    "shortest_edge": 800
+  }
+}

pytorch_model.bin

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training_args.bin

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