Training in progress, epoch 1

config.json

@@ -0,0 +1,351 @@
+{
+  "activation_dropout": 0.0,
+  "activation_function": "silu",
+  "anchor_image_size": null,
+  "architectures": [
+    "DFineForObjectDetection"
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+  "auxiliary_loss": true,
+  "backbone": null,
+  "backbone_config": {
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+    "downsample_in_first_stage": false,
+    "dtype": "float32",
+    "embedding_size": 32,
+    "hidden_act": "relu",
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+      512,
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+    "layer_type": "basic",
+    "model_type": "hgnet_v2",
+    "num_channels": 3,
+    "out_features": [
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+      "stage3",
+      "stage4"
+    ],
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+      3,
+      4
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+      true,
+      true
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+      512,
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+      192,
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+      "stage1",
+      "stage2",
+      "stage3",
+      "stage4"
+    ],
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+      3,
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+      1024,
+      2048
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+    "use_learnable_affine_block": false
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+  "backbone_kwargs": null,
+  "batch_norm_eps": 1e-05,
+  "box_noise_scale": 1.0,
+  "d_model": 256,
+  "decoder_activation_function": "relu",
+  "decoder_attention_heads": 8,
+  "decoder_ffn_dim": 1024,
+  "decoder_in_channels": [
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+    256,
+    256
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+  "decoder_method": "default",
+  "decoder_n_points": [
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+  "dtype": "float32",
+  "encode_proj_layers": [
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+  "encoder_ffn_dim": 1024,
+  "encoder_hidden_dim": 256,
+  "encoder_in_channels": [
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+  "eos_coefficient": 0.0001,
+  "eval_idx": -1,
+  "eval_size": null,
+  "feat_strides": [
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+  "focal_loss_gamma": 2.0,
+  "freeze_backbone_batch_norms": true,
+  "hidden_expansion": 1.0,
+  "id2label": {
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+    "1": "bicycle",
+    "2": "car",
+    "3": "motorcycle",
+    "4": "airplane",
+    "5": "bus",
+    "6": "train",
+    "7": "truck",
+    "8": "boat",
+    "9": "traffic light",
+    "10": "fire hydrant",
+    "11": "stop sign",
+    "12": "parking meter",
+    "13": "bench",
+    "14": "bird",
+    "15": "cat",
+    "16": "dog",
+    "17": "horse",
+    "18": "sheep",
+    "19": "cow",
+    "20": "elephant",
+    "21": "bear",
+    "22": "zebra",
+    "23": "giraffe",
+    "24": "backpack",
+    "25": "umbrella",
+    "26": "handbag",
+    "27": "tie",
+    "28": "suitcase",
+    "29": "frisbee",
+    "30": "skis",
+    "31": "snowboard",
+    "32": "sports ball",
+    "33": "kite",
+    "34": "baseball bat",
+    "35": "baseball glove",
+    "36": "skateboard",
+    "37": "surfboard",
+    "38": "tennis racket",
+    "39": "bottle",
+    "40": "wine glass",
+    "41": "cup",
+    "42": "fork",
+    "43": "knife",
+    "44": "spoon",
+    "45": "bowl",
+    "46": "banana",
+    "47": "apple",
+    "48": "sandwich",
+    "49": "orange",
+    "50": "broccoli",
+    "51": "carrot",
+    "52": "hot dog",
+    "53": "pizza",
+    "54": "donut",
+    "55": "cake",
+    "56": "chair",
+    "57": "couch",
+    "58": "potted plant",
+    "59": "bed",
+    "60": "dining table",
+    "61": "toilet",
+    "62": "tv",
+    "63": "laptop",
+    "64": "mouse",
+    "65": "remote",
+    "66": "keyboard",
+    "67": "cell phone",
+    "68": "microwave",
+    "69": "oven",
+    "70": "toaster",
+    "71": "sink",
+    "72": "refrigerator",
+    "73": "book",
+    "74": "clock",
+    "75": "vase",
+    "76": "scissors",
+    "77": "teddy bear",
+    "78": "hair drier",
+    "79": "toothbrush"
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+  "is_encoder_decoder": true,
+  "label2id": {
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+    "broccoli": 50,
+    "bus": 5,
+    "cake": 55,
+    "car": 2,
+    "carrot": 51,
+    "cat": 15,
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+    "chair": 56,
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+    "dining table": 60,
+    "dog": 16,
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+    "elephant": 20,
+    "fire hydrant": 10,
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+    "giraffe": 23,
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+    "hot dog": 52,
+    "keyboard": 66,
+    "kite": 33,
+    "knife": 43,
+    "laptop": 63,
+    "microwave": 68,
+    "motorcycle": 3,
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+    "parking meter": 12,
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+    "potted plant": 58,
+    "refrigerator": 72,
+    "remote": 65,
+    "sandwich": 48,
+    "scissors": 76,
+    "sheep": 18,
+    "sink": 71,
+    "skateboard": 36,
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+    "umbrella": 25,
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+  "layer_norm_eps": 1e-05,
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+  "lqe_hidden_dim": 64,
+  "lqe_layers": 2,
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+  "matcher_gamma": 2.0,
+  "matcher_giou_cost": 2.0,
+  "max_num_bins": 32,
+  "model_type": "d_fine",
+  "normalize_before": false,
+  "num_denoising": 100,
+  "num_feature_levels": 3,
+  "num_queries": 300,
+  "positional_encoding_temperature": 10000,
+  "reg_scale": 4.0,
+  "top_prob_values": 4,
+  "transformers_version": "4.57.3",
+  "up": 0.5,
+  "use_focal_loss": true,
+  "use_pretrained_backbone": false,
+  "use_timm_backbone": false,
+  "weight_loss_bbox": 5.0,
+  "weight_loss_ddf": 1.5,
+  "weight_loss_fgl": 0.15,
+  "weight_loss_giou": 2.0,
+  "weight_loss_vfl": 1.0,
+  "with_box_refine": true
+}

model.safetensors

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preprocessor_config.json

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+{
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+  "data_format": "channels_first",
+  "default_to_square": false,
+  "device": null,
+  "disable_grouping": null,
+  "do_center_crop": null,
+  "do_convert_annotations": true,
+  "do_convert_rgb": null,
+  "do_normalize": false,
+  "do_pad": false,
+  "do_rescale": true,
+  "do_resize": true,
+  "format": "coco_detection",
+  "image_mean": [
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+  "size": {
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+}

training_args.bin

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