Model save

README.md

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+---
+library_name: transformers
+license: apache-2.0
+base_model: PekingU/rtdetr_r50vd
+tags:
+- generated_from_trainer
+model-index:
+- name: suas-2025-rtdetr-finetuned-b16-lr1e-5
+  results: []
+---
+
+<!-- This model card has been generated automatically according to the information the Trainer had access to. You
+should probably proofread and complete it, then remove this comment. -->
+
+# suas-2025-rtdetr-finetuned-b16-lr1e-5
+
+This model is a fine-tuned version of [PekingU/rtdetr_r50vd](https://huggingface.co/PekingU/rtdetr_r50vd) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 3.6523
+- Map: 0.8465
+- Map 50: 0.9229
+- Map 75: 0.9193
+- Map Small: 0.7682
+- Map Medium: 0.8561
+- Map Large: 0.9144
+- Mar 1: 0.7945
+- Mar 10: 0.9245
+- Mar 100: 0.9271
+- Mar Small: 0.8316
+- Mar Medium: 0.9357
+- Mar Large: 0.9779
+- Map Baseball-bat: 0.8128
+- Mar 100 Baseball-bat: 0.892
+- Map Basketball: 0.8105
+- Mar 100 Basketball: 0.8993
+- Map Car: -1.0
+- Mar 100 Car: -1.0
+- Map Football: 0.7611
+- Mar 100 Football: 0.8113
+- Map Human: 0.9382
+- Mar 100 Human: 0.9641
+- Map Luggage: 0.8579
+- Mar 100 Luggage: 0.9191
+- Map Mattress: 0.9384
+- Mar 100 Mattress: 0.977
+- Map Motorcycle: 0.9309
+- Mar 100 Motorcycle: 0.9773
+- Map Skis: 0.7044
+- Mar 100 Skis: 0.995
+- Map Snowboard: 0.9834
+- Mar 100 Snowboard: 0.9932
+- Map Soccer-ball: 0.8245
+- Mar 100 Soccer-ball: 0.8733
+- Map Stop-sign: 0.9671
+- Mar 100 Stop-sign: 0.9925
+- Map Tennis-racket: 0.7064
+- Mar 100 Tennis-racket: 0.8539
+- Map Umbrella: 0.8285
+- Mar 100 Umbrella: 0.9803
+- Map Volleyball: 0.787
+- Mar 100 Volleyball: 0.8517
+
+## Model description
+
+More information needed
+
+## Intended uses & limitations
+
+More information needed
+
+## Training and evaluation data
+
+More information needed
+
+## Training procedure
+
+### Training hyperparameters
+
+The following hyperparameters were used during training:
+- learning_rate: 1e-05
+- train_batch_size: 16
+- eval_batch_size: 32
+- seed: 1337
+- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
+- lr_scheduler_type: linear
+- num_epochs: 10.0
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Map    | Map 50 | Map 75 | Map Small | Map Medium | Map Large | Mar 1  | Mar 10 | Mar 100 | Mar Small | Mar Medium | Mar Large | Map Baseball-bat | Mar 100 Baseball-bat | Map Basketball | Mar 100 Basketball | Map Car | Mar 100 Car | Map Football | Mar 100 Football | Map Human | Mar 100 Human | Map Luggage | Mar 100 Luggage | Map Mattress | Mar 100 Mattress | Map Motorcycle | Mar 100 Motorcycle | Map Skis | Mar 100 Skis | Map Snowboard | Mar 100 Snowboard | Map Soccer-ball | Mar 100 Soccer-ball | Map Stop-sign | Mar 100 Stop-sign | Map Tennis-racket | Mar 100 Tennis-racket | Map Umbrella | Mar 100 Umbrella | Map Volleyball | Mar 100 Volleyball |
+|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:----------:|:---------:|:------:|:------:|:-------:|:---------:|:----------:|:---------:|:----------------:|:--------------------:|:--------------:|:------------------:|:-------:|:-----------:|:------------:|:----------------:|:---------:|:-------------:|:-----------:|:---------------:|:------------:|:----------------:|:--------------:|:------------------:|:--------:|:------------:|:-------------:|:-----------------:|:---------------:|:-------------------:|:-------------:|:-----------------:|:-----------------:|:---------------------:|:------------:|:----------------:|:--------------:|:------------------:|
+| 26.4817       | 1.0   | 438  | 7.1796          | 0.5246 | 0.6136 | 0.5998 | 0.4998    | 0.4541     | 0.685     | 0.6337 | 0.8316 | 0.8375  | 0.7077    | 0.8446     | 0.9453    | 0.3868           | 0.8129               | 0.1579         | 0.8832             | -1.0    | -1.0        | 0.5107       | 0.6099           | 0.8625    | 0.9246        | 0.6942      | 0.792           | 0.568        | 0.8388           | 0.7128         | 0.9384             | 0.085    | 0.9099       | 0.9532        | 0.9784            | 0.5658          | 0.7478              | 0.3822        | 0.9553            | 0.2726            | 0.7264                | 0.6033       | 0.9515           | 0.5895         | 0.6554             |
+| 8.2849        | 2.0   | 876  | 5.1650          | 0.6623 | 0.7385 | 0.7311 | 0.6108    | 0.674      | 0.8009    | 0.6914 | 0.87   | 0.8726  | 0.7227    | 0.9081     | 0.9696    | 0.7515           | 0.8723               | 0.2886         | 0.8671             | -1.0    | -1.0        | 0.6431       | 0.7019           | 0.9057    | 0.9462        | 0.8014      | 0.8587          | 0.8949       | 0.9605           | 0.8986         | 0.9603             | 0.1247   | 0.9936       | 0.9665        | 0.9862            | 0.7817          | 0.8419              | 0.8546        | 0.9869            | 0.0862            | 0.7197                | 0.7593       | 0.9635           | 0.5151         | 0.5581             |
+| 6.559         | 3.0   | 1314 | 4.4005          | 0.7504 | 0.8276 | 0.8215 | 0.7114    | 0.7272     | 0.8594    | 0.7435 | 0.8949 | 0.8966  | 0.7711    | 0.9093     | 0.975     | 0.7706           | 0.8428               | 0.6714         | 0.8801             | -1.0    | -1.0        | 0.6961       | 0.7498           | 0.9191    | 0.9553        | 0.8097      | 0.8663          | 0.9315       | 0.981            | 0.9122         | 0.9665             | 0.356    | 0.9926       | 0.9799        | 0.9927            | 0.8045          | 0.8594              | 0.9288        | 0.9846            | 0.2706            | 0.7788                | 0.7865       | 0.9736           | 0.6683         | 0.7284             |
+| 6.1007        | 4.0   | 1752 | 4.3050          | 0.7733 | 0.8501 | 0.8445 | 0.672     | 0.8036     | 0.8698    | 0.75   | 0.8933 | 0.8959  | 0.7471    | 0.93       | 0.977     | 0.7927           | 0.8788               | 0.5734         | 0.7517             | -1.0    | -1.0        | 0.7111       | 0.7712           | 0.9262    | 0.959         | 0.8357      | 0.8953          | 0.9221       | 0.966            | 0.9326         | 0.9731             | 0.4091   | 0.9936       | 0.9788        | 0.9937            | 0.7975          | 0.8563              | 0.9535        | 0.9877            | 0.5879            | 0.8409                | 0.798        | 0.9753           | 0.6073         | 0.6998             |
+| 5.7812        | 5.0   | 2190 | 3.9205          | 0.8281 | 0.91   | 0.9046 | 0.741     | 0.8373     | 0.9087    | 0.7819 | 0.9162 | 0.9196  | 0.8073    | 0.9294     | 0.9776    | 0.8105           | 0.8866               | 0.7005         | 0.8344             | -1.0    | -1.0        | 0.7656       | 0.8203           | 0.9326    | 0.9609        | 0.8291      | 0.9             | 0.9399       | 0.9791           | 0.9223         | 0.9695             | 0.6417   | 0.9906       | 0.977         | 0.9935            | 0.8194          | 0.8738              | 0.9422        | 0.9858            | 0.7258            | 0.8819                | 0.8433       | 0.9767           | 0.744          | 0.8208             |
+| 5.4833        | 6.0   | 2628 | 3.7494          | 0.8402 | 0.9191 | 0.915  | 0.7567    | 0.861      | 0.9247    | 0.7947 | 0.9219 | 0.9246  | 0.8235    | 0.9378     | 0.9902    | 0.8153           | 0.8907               | 0.8096         | 0.9043             | -1.0    | -1.0        | 0.7586       | 0.8083           | 0.9378    | 0.9627        | 0.8322      | 0.9015          | 0.9545       | 0.989            | 0.9241         | 0.9725             | 0.7303   | 0.9926       | 0.9832        | 0.9947            | 0.8225          | 0.8707              | 0.9542        | 0.988             | 0.6731            | 0.871                 | 0.8273       | 0.9776           | 0.7398         | 0.8213             |
+| 5.3134        | 7.0   | 3066 | 3.7250          | 0.8437 | 0.9213 | 0.9165 | 0.7597    | 0.854      | 0.919     | 0.7917 | 0.9213 | 0.9241  | 0.8256    | 0.9419     | 0.9775    | 0.8142           | 0.8876               | 0.8066         | 0.9014             | -1.0    | -1.0        | 0.7341       | 0.7887           | 0.9359    | 0.9624        | 0.8417      | 0.9133          | 0.9412       | 0.9782           | 0.9292         | 0.9777             | 0.713    | 0.9931       | 0.9828        | 0.9934            | 0.828           | 0.8761              | 0.963         | 0.9922            | 0.7265            | 0.8554                | 0.8307       | 0.9791           | 0.7646         | 0.8392             |
+| 5.2982        | 8.0   | 3504 | 3.7825          | 0.8419 | 0.9181 | 0.9133 | 0.7599    | 0.8549     | 0.9154    | 0.7909 | 0.9198 | 0.922   | 0.8277    | 0.9355     | 0.9768    | 0.8151           | 0.8931               | 0.8242         | 0.9066             | -1.0    | -1.0        | 0.7225       | 0.772            | 0.9375    | 0.9627        | 0.8383      | 0.9052          | 0.9338       | 0.9744           | 0.9288         | 0.9755             | 0.7353   | 0.996        | 0.9818        | 0.9925            | 0.8221          | 0.873               | 0.9675        | 0.9891            | 0.6801            | 0.8466                | 0.8273       | 0.9818           | 0.7726         | 0.8397             |
+| 5.1855        | 9.0   | 3942 | 3.7947          | 0.8365 | 0.913  | 0.9085 | 0.7528    | 0.8439     | 0.9104    | 0.7884 | 0.9184 | 0.9219  | 0.8189    | 0.9344     | 0.979     | 0.8041           | 0.8864               | 0.8009         | 0.8955             | -1.0    | -1.0        | 0.7239       | 0.7755           | 0.9351    | 0.9622        | 0.8444      | 0.9119          | 0.9314       | 0.9771           | 0.9241         | 0.9735             | 0.7034   | 0.995        | 0.984         | 0.995             | 0.8168          | 0.8704              | 0.9639        | 0.9922            | 0.6888            | 0.8513                | 0.8203       | 0.9808           | 0.7704         | 0.8402             |
+| 5.1499        | 10.0  | 4380 | 3.6523          | 0.8465 | 0.9229 | 0.9193 | 0.7682    | 0.8561     | 0.9144    | 0.7945 | 0.9245 | 0.9271  | 0.8316    | 0.9357     | 0.9779    | 0.8128           | 0.892                | 0.8105         | 0.8993             | -1.0    | -1.0        | 0.7611       | 0.8113           | 0.9382    | 0.9641        | 0.8579      | 0.9191          | 0.9384       | 0.977            | 0.9309         | 0.9773             | 0.7044   | 0.995        | 0.9834        | 0.9932            | 0.8245          | 0.8733              | 0.9671        | 0.9925            | 0.7064            | 0.8539                | 0.8285       | 0.9803           | 0.787          | 0.8517             |
+
+
+### Framework versions
+
+- Transformers 4.47.0
+- Pytorch 2.5.1+cu124
+- Datasets 3.1.0
+- Tokenizers 0.21.0

config.json

@@ -0,0 +1,125 @@
+{
+  "_name_or_path": "PekingU/rtdetr_r50vd",
+  "activation_dropout": 0.0,
+  "activation_function": "silu",
+  "anchor_image_size": null,
+  "architectures": [
+    "RTDetrForObjectDetection"
+  ],
+  "attention_dropout": 0.0,
+  "auxiliary_loss": true,
+  "backbone": null,
+  "backbone_config": {
+    "model_type": "rt_detr_resnet",
+    "out_features": [
+      "stage2",
+      "stage3",
+      "stage4"
+    ],
+    "out_indices": [
+      2,
+      3,
+      4
+    ]
+  },
+  "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": [
+    256,
+    256,
+    256
+  ],
+  "decoder_layers": 6,
+  "decoder_n_points": 4,
+  "disable_custom_kernels": true,
+  "dropout": 0.0,
+  "encode_proj_layers": [
+    2
+  ],
+  "encoder_activation_function": "gelu",
+  "encoder_attention_heads": 8,
+  "encoder_ffn_dim": 1024,
+  "encoder_hidden_dim": 256,
+  "encoder_in_channels": [
+    512,
+    1024,
+    2048
+  ],
+  "encoder_layers": 1,
+  "eos_coefficient": 0.0001,
+  "eval_size": null,
+  "feat_strides": [
+    8,
+    16,
+    32
+  ],
+  "focal_loss_alpha": 0.75,
+  "focal_loss_gamma": 2.0,
+  "freeze_backbone_batch_norms": true,
+  "hidden_expansion": 1.0,
+  "id2label": {
+    "0": "baseball-bat",
+    "1": "basketball",
+    "2": "car",
+    "3": "football",
+    "4": "human",
+    "5": "luggage",
+    "6": "mattress",
+    "7": "motorcycle",
+    "8": "skis",
+    "9": "snowboard",
+    "10": "soccer-ball",
+    "11": "stop-sign",
+    "12": "tennis-racket",
+    "13": "umbrella",
+    "14": "volleyball"
+  },
+  "initializer_bias_prior_prob": null,
+  "initializer_range": 0.01,
+  "is_encoder_decoder": true,
+  "label2id": {
+    "baseball-bat": 0,
+    "basketball": 1,
+    "car": 2,
+    "football": 3,
+    "human": 4,
+    "luggage": 5,
+    "mattress": 6,
+    "motorcycle": 7,
+    "skis": 8,
+    "snowboard": 9,
+    "soccer-ball": 10,
+    "stop-sign": 11,
+    "tennis-racket": 12,
+    "umbrella": 13,
+    "volleyball": 14
+  },
+  "label_noise_ratio": 0.5,
+  "layer_norm_eps": 1e-05,
+  "learn_initial_query": false,
+  "matcher_alpha": 0.25,
+  "matcher_bbox_cost": 5.0,
+  "matcher_class_cost": 2.0,
+  "matcher_gamma": 2.0,
+  "matcher_giou_cost": 2.0,
+  "model_type": "rt_detr",
+  "normalize_before": false,
+  "num_denoising": 100,
+  "num_feature_levels": 3,
+  "num_queries": 300,
+  "positional_encoding_temperature": 10000,
+  "torch_dtype": "float32",
+  "transformers_version": "4.47.0",
+  "use_focal_loss": true,
+  "use_pretrained_backbone": false,
+  "use_timm_backbone": false,
+  "weight_loss_bbox": 5.0,
+  "weight_loss_giou": 2.0,
+  "weight_loss_vfl": 1.0,
+  "with_box_refine": true
+}

model.safetensors

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+size 171641556

preprocessor_config.json

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+{
+  "do_convert_annotations": true,
+  "do_normalize": false,
+  "do_pad": true,
+  "do_rescale": true,
+  "do_resize": true,
+  "format": "coco_detection",
+  "image_mean": [
+    0.485,
+    0.456,
+    0.406
+  ],
+  "image_processor_type": "RTDetrImageProcessor",
+  "image_std": [
+    0.229,
+    0.224,
+    0.225
+  ],
+  "pad_size": {
+    "height": 640,
+    "width": 640
+  },
+  "resample": 2,
+  "rescale_factor": 0.00392156862745098,
+  "size": {
+    "max_height": 640,
+    "max_width": 640
+  }
+}

training_args.bin

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+size 5432