upload ViT gambling fine-tuned model

README.md

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+---
+library_name: transformers
+license: apache-2.0
+base_model: PekingU/rtdetr_r50vd_coco_o365
+tags:
+- generated_from_trainer
+model-index:
+- name: v3-rtdetr-r50-gambling-finetune
+  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. -->
+
+# v3-rtdetr-r50-gambling-finetune
+
+This model is a fine-tuned version of [PekingU/rtdetr_r50vd_coco_o365](https://huggingface.co/PekingU/rtdetr_r50vd_coco_o365) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 6.8580
+- Map: 0.7154
+- Map 50: 0.86
+- Map 75: 0.7982
+- Map Small: 0.4818
+- Map Medium: 0.4823
+- Map Large: 0.5059
+- Mar 1: 0.6019
+- Mar 10: 0.8463
+- Mar 100: 0.876
+- Mar Small: 0.8241
+- Mar Medium: 0.8693
+- Mar Large: 0.8723
+- Map Banner Promo: 0.8704
+- Mar 100 Banner Promo: 0.9604
+- Map Cta Button: 0.7422
+- Mar 100 Cta Button: 0.905
+- Map Game Thumbnail: 0.6783
+- Mar 100 Game Thumbnail: 0.9073
+- Map Logo: 0.7334
+- Mar 100 Logo: 0.848
+- Map Menu Nav: 0.5527
+- Mar 100 Menu Nav: 0.7593
+
+## 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: 5e-05
+- train_batch_size: 8
+- eval_batch_size: 8
+- seed: 42
+- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_steps: 300
+- num_epochs: 10
+
+### 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 Banner Promo | Mar 100 Banner Promo | Map Cta Button | Mar 100 Cta Button | Map Game Thumbnail | Mar 100 Game Thumbnail | Map Logo | Mar 100 Logo | Map Menu Nav | Mar 100 Menu Nav |
+|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:----------:|:---------:|:------:|:------:|:-------:|:---------:|:----------:|:---------:|:----------------:|:--------------------:|:--------------:|:------------------:|:------------------:|:----------------------:|:--------:|:------------:|:------------:|:----------------:|
+| No log        | 1.0   | 107  | 20.5763         | 0.0922 | 0.1237 | 0.1082 | 0.1056    | 0.0185     | 0.2108    | 0.1468 | 0.331  | 0.4918  | 0.301     | 0.4038     | 0.5959    | 0.399            | 0.9118               | 0.0195         | 0.4808             | 0.0367             | 0.5013                 | 0.0013   | 0.2806       | 0.0046       | 0.2846           |
+| No log        | 2.0   | 214  | 9.0251          | 0.5324 | 0.6626 | 0.6192 | 0.3219    | 0.4183     | 0.6377    | 0.462  | 0.7685 | 0.8228  | 0.7076    | 0.7962     | 0.8858    | 0.7688           | 0.9316               | 0.6739         | 0.8749             | 0.5019             | 0.8567                 | 0.4994   | 0.7971       | 0.2179       | 0.6538           |
+| No log        | 3.0   | 321  | 7.7306          | 0.6155 | 0.7736 | 0.6929 | 0.3994    | 0.4662     | 0.7004    | 0.5238 | 0.796  | 0.8365  | 0.6789    | 0.8151     | 0.8954    | 0.831            | 0.9507               | 0.672          | 0.8703             | 0.6238             | 0.8584                 | 0.6296   | 0.7878       | 0.3213       | 0.7154           |
+| No log        | 4.0   | 428  | 7.1577          | 0.6898 | 0.8521 | 0.7639 | 0.4178    | 0.5517     | 0.8467    | 0.5838 | 0.813  | 0.8497  | 0.7595    | 0.8232     | 0.9338    | 0.8822           | 0.9676               | 0.7291         | 0.8863             | 0.6569             | 0.8385                 | 0.6631   | 0.8165       | 0.5179       | 0.7396           |
+| 29.4032       | 5.0   | 535  | 6.8177          | 0.7202 | 0.8795 | 0.7981 | 0.4606    | 0.552      | 0.8828    | 0.5851 | 0.83   | 0.8689  | 0.7771    | 0.8316     | 0.9249    | 0.9107           | 0.9699               | 0.743          | 0.9005             | 0.6694             | 0.8797                 | 0.665    | 0.8266       | 0.6131       | 0.7681           |
+| 29.4032       | 6.0   | 642  | 6.4833          | 0.7517 | 0.9161 | 0.8315 | 0.4888    | 0.6263     | 0.9139    | 0.5966 | 0.8393 | 0.877   | 0.7423    | 0.8503     | 0.9425    | 0.9318           | 0.975                | 0.792          | 0.9114             | 0.721              | 0.8935                 | 0.6903   | 0.8216       | 0.6235       | 0.7835           |
+| 29.4032       | 7.0   | 749  | 6.7079          | 0.7452 | 0.9086 | 0.8268 | 0.4626    | 0.5953     | 0.9113    | 0.5999 | 0.8343 | 0.8751  | 0.7833    | 0.8383     | 0.9446    | 0.927            | 0.9691               | 0.7828         | 0.9087             | 0.7239             | 0.8987                 | 0.6797   | 0.8144       | 0.6126       | 0.7846           |
+| 29.4032       | 8.0   | 856  | 6.7679          | 0.743  | 0.8989 | 0.8209 | 0.4715    | 0.6187     | 0.9201    | 0.6016 | 0.8354 | 0.8729  | 0.7509    | 0.837      | 0.9499    | 0.9227           | 0.9699               | 0.78           | 0.91               | 0.7224             | 0.8909                 | 0.6738   | 0.8158       | 0.616        | 0.778            |
+| 29.4032       | 9.0   | 963  | 6.5281          | 0.7457 | 0.8999 | 0.8317 | 0.4659    | 0.6117     | 0.9221    | 0.5949 | 0.8343 | 0.8674  | 0.69      | 0.8338     | 0.9453    | 0.9264           | 0.9706               | 0.7669         | 0.9023             | 0.7098             | 0.8719                 | 0.6927   | 0.8129       | 0.6326       | 0.7791           |
+| 9.6433        | 10.0  | 1070 | 6.5610          | 0.7537 | 0.9065 | 0.8402 | 0.4672    | 0.6283     | 0.926     | 0.6029 | 0.8364 | 0.8735  | 0.7052    | 0.8386     | 0.9521    | 0.9314           | 0.9743               | 0.7786         | 0.9082             | 0.7256             | 0.8792                 | 0.6937   | 0.8158       | 0.6392       | 0.7901           |
+
+
+### Framework versions
+
+- Transformers 5.0.0.dev0
+- Pytorch 2.8.0+cu126
+- Datasets 4.0.0
+- Tokenizers 0.22.1
+
+
+### BibTeX entry and citation info
+
+```bibtex
+@misc{lv2023detrs,
+      title={DETRs Beat YOLOs on Real-time Object Detection},
+      author={Yian Zhao and Wenyu Lv and Shangliang Xu and Jinman Wei and Guanzhong Wang and Qingqing Dang and Yi Liu and Jie Chen},
+      year={2023},
+      eprint={2304.08069},
+      archivePrefix={arXiv},
+      primaryClass={cs.CV}
+```
+
+```bibtex
+@misc{rogge2025transformerstutorials,
+  author       = {Rogge, Niels},
+  title        = {Transformers Tutorials},
+  year         = {2025},
+  howpublished = {\url{https://github.com/NielsRogge/Transformers-Tutorials}}
+}
+```

config.json

@@ -0,0 +1,131 @@
+{
+  "activation_dropout": 0.0,
+  "activation_function": "silu",
+  "anchor_image_size": null,
+  "architectures": [
+    "RTDetrForObjectDetection"
+  ],
+  "attention_dropout": 0.0,
+  "auxiliary_loss": true,
+  "backbone": null,
+  "backbone_config": {
+    "depths": [
+      3,
+      4,
+      6,
+      3
+    ],
+    "downsample_in_bottleneck": false,
+    "downsample_in_first_stage": false,
+    "dtype": "float32",
+    "embedding_size": 64,
+    "hidden_act": "relu",
+    "hidden_sizes": [
+      256,
+      512,
+      1024,
+      2048
+    ],
+    "layer_type": "bottleneck",
+    "model_type": "rt_detr_resnet",
+    "num_channels": 3,
+    "out_features": [
+      "stage2",
+      "stage3",
+      "stage4"
+    ],
+    "out_indices": [
+      2,
+      3,
+      4
+    ],
+    "stage_names": [
+      "stem",
+      "stage1",
+      "stage2",
+      "stage3",
+      "stage4"
+    ]
+  },
+  "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,
+  "dtype": "float32",
+  "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": "banner_promo",
+    "1": "cta_button",
+    "2": "game_thumbnail",
+    "3": "logo",
+    "4": "menu_nav"
+  },
+  "initializer_bias_prior_prob": null,
+  "initializer_range": 0.01,
+  "is_encoder_decoder": true,
+  "label2id": {
+    "banner_promo": 0,
+    "cta_button": 1,
+    "game_thumbnail": 2,
+    "logo": 3,
+    "menu_nav": 4
+  },
+  "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,
+  "transformers_version": "5.0.0.dev0",
+  "use_cache": false,
+  "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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+oid sha256:13f3dee282d43d423cce6e3b9b38d879cb044b7eaee7580c4becaaed59998c3a
+size 171559340

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",
+    "pad_size",
+    "format",
+    "return_tensors",
+    "data_format",
+    "input_data_format"
+  ],
+  "do_convert_annotations": true,
+  "do_normalize": false,
+  "do_pad": false,
+  "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": null,
+  "resample": 2,
+  "rescale_factor": 0.00392156862745098,
+  "size": {
+    "height": 480,
+    "width": 480
+  }
+}

training_args.bin

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+oid sha256:6196e526411eface89ece58798b6148f0a1b20e0674627f25587e5867e6143fa
+size 5201