Training in progress, epoch 1

config.json

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+{
+  "activation_dropout": 0.0,
+  "activation_function": "silu",
+  "architectures": [
+    "RfDetrForObjectDetection"
+  ],
+  "attention_bias": true,
+  "attention_dropout": 0.0,
+  "auxiliary_loss": true,
+  "backbone_config": {
+    "apply_layernorm": true,
+    "attention_probs_dropout_prob": 0.0,
+    "drop_path_rate": 0.0,
+    "dtype": "float32",
+    "hidden_act": "gelu",
+    "hidden_dropout_prob": 0.0,
+    "hidden_size": 384,
+    "image_size": 576,
+    "initializer_range": 0.02,
+    "layer_norm_eps": 1e-06,
+    "layerscale_value": 1.0,
+    "mlp_ratio": 4,
+    "model_type": "rf_detr_dinov2",
+    "num_attention_heads": 6,
+    "num_channels": 3,
+    "num_hidden_layers": 12,
+    "num_windows": 2,
+    "out_features": [
+      "stage3",
+      "stage6",
+      "stage9",
+      "stage12"
+    ],
+    "out_indices": [
+      3,
+      6,
+      9,
+      12
+    ],
+    "patch_size": 16,
+    "qkv_bias": true,
+    "reshape_hidden_states": true,
+    "stage_names": [
+      "stem",
+      "stage1",
+      "stage2",
+      "stage3",
+      "stage4",
+      "stage5",
+      "stage6",
+      "stage7",
+      "stage8",
+      "stage9",
+      "stage10",
+      "stage11",
+      "stage12"
+    ],
+    "use_mask_token": true,
+    "use_swiglu_ffn": false,
+    "window_block_indexes": [
+      0,
+      1,
+      2,
+      4,
+      5,
+      7,
+      8,
+      10,
+      11
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+  "bbox_cost": 5,
+  "bbox_loss_coefficient": 5,
+  "c2f_num_blocks": 3,
+  "class_cost": 2,
+  "class_loss_coefficient": 1,
+  "d_model": 256,
+  "decoder_activation_function": "relu",
+  "decoder_cross_attention_heads": 16,
+  "decoder_ffn_dim": 2048,
+  "decoder_layers": 4,
+  "decoder_n_points": 2,
+  "decoder_self_attention_heads": 8,
+  "dice_loss_coefficient": 1,
+  "disable_custom_kernels": true,
+  "dropout": 0.1,
+  "dtype": "float32",
+  "eos_coefficient": 0.1,
+  "focal_alpha": 0.25,
+  "giou_cost": 2,
+  "giou_loss_coefficient": 2,
+  "group_detr": 13,
+  "hidden_expansion": 0.5,
+  "id2label": {
+    "0": "chart",
+    "1": "image",
+    "2": "signature"
+  },
+  "init_std": 0.02,
+  "intermediate_size": 1024,
+  "label2id": {
+    "chart": 0,
+    "image": 1,
+    "signature": 2
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+  "layer_norm_eps": 1e-05,
+  "mask_class_loss_coefficient": 5.0,
+  "mask_dice_loss_coefficient": 5.0,
+  "mask_downsample_ratio": 4,
+  "mask_loss_coefficient": 1,
+  "mask_point_sample_ratio": 16,
+  "model_type": "rf_detr",
+  "num_feature_levels": 1,
+  "num_queries": 300,
+  "projector_scale_factors": [
+    1.0
+  ],
+  "segmentation_head_activation_function": "gelu",
+  "transformers_version": "5.12.1",
+  "use_cache": false
+}

model.safetensors

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+size 133545800

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": [
+    0.485,
+    0.456,
+    0.406
+  ],
+  "image_processor_type": "RfDetrImageProcessor",
+  "image_std": [
+    0.229,
+    0.224,
+    0.225
+  ],
+  "resample": 2,
+  "rescale_factor": 0.00392156862745098,
+  "size": {
+    "height": 576,
+    "width": 576
+  },
+  "use_fast": true
+}

training_args.bin

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