upload fine-tuned RT-DETRv2 trashify object detection model

README.md

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+---
+library_name: transformers
+license: apache-2.0
+base_model: PekingU/rtdetr_v2_r50vd
+tags:
+- generated_from_trainer
+model-index:
+- name: rt_detrv2_finetuned_trashify_box_detector_v1
+  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. -->
+
+# rt_detrv2_finetuned_trashify_box_detector_v1
+
+This model is a fine-tuned version of [PekingU/rtdetr_v2_r50vd](https://huggingface.co/PekingU/rtdetr_v2_r50vd) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 9.6546
+- Map: 0.4705
+- Map 50: 0.6521
+- Map 75: 0.5344
+- Map Small: 0.2
+- Map Medium: 0.2496
+- Map Large: 0.4925
+- Mar 1: 0.5388
+- Mar 10: 0.6875
+- Mar 100: 0.7263
+- Mar Small: 0.4
+- Mar Medium: 0.4812
+- Mar Large: 0.7609
+- Map Bin: 0.7715
+- Map Hand: 0.4915
+- Map Not Bin: 0.1365
+- Map Not Hand: -1.0
+- Map Not Trash: 0.2446
+- Map Trash: 0.6392
+- Map Trash Arm: 0.5397
+
+## 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: 0.0001
+- train_batch_size: 16
+- eval_batch_size: 16
+- seed: 42
+- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_ratio: 0.05
+- num_epochs: 10
+- 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 Bin | Map Hand | Map Not Bin | Map Not Hand | Map Not Trash | Map Trash | Map Trash Arm |
+|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:----------:|:---------:|:------:|:------:|:-------:|:---------:|:----------:|:---------:|:-------:|:--------:|:-----------:|:------------:|:-------------:|:---------:|:-------------:|
+| 81.6957       | 1.0   | 50   | 17.9459         | 0.1816 | 0.2751 | 0.1906 | 0.0125    | 0.061      | 0.1967    | 0.3226 | 0.4792 | 0.5507  | 0.05      | 0.175      | 0.609     | 0.3411  | 0.405    | 0.041       | -1.0         | 0.0548        | 0.2477    | 0.0           |
+| 23.5749       | 2.0   | 100  | 11.3631         | 0.322  | 0.4496 | 0.3506 | 0.04      | 0.1311     | 0.3368    | 0.3935 | 0.5962 | 0.6883  | 0.2       | 0.5415     | 0.7219    | 0.7026  | 0.515    | 0.0123      | -1.0         | 0.1511        | 0.5472    | 0.0038        |
+| 18.0309       | 3.0   | 150  | 10.3943         | 0.3579 | 0.4953 | 0.3979 | 0.17      | 0.1655     | 0.3748    | 0.4545 | 0.6209 | 0.7206  | 0.25      | 0.5216     | 0.758     | 0.7461  | 0.5023   | 0.0169      | -1.0         | 0.1787        | 0.6231    | 0.0802        |
+| 15.7191       | 4.0   | 200  | 9.9083          | 0.3861 | 0.5432 | 0.4363 | 0.4       | 0.1956     | 0.4105    | 0.5212 | 0.658  | 0.7095  | 0.4       | 0.3756     | 0.7573    | 0.7665  | 0.5168   | 0.1076      | -1.0         | 0.2266        | 0.5907    | 0.1085        |
+| 14.4269       | 5.0   | 250  | 9.8396          | 0.4014 | 0.5652 | 0.4359 | 0.3167    | 0.1559     | 0.428     | 0.5438 | 0.6762 | 0.7251  | 0.35      | 0.4028     | 0.768     | 0.7664  | 0.4787   | 0.1505      | -1.0         | 0.2503        | 0.6241    | 0.1381        |
+| 13.1984       | 6.0   | 300  | 9.8522          | 0.4317 | 0.5934 | 0.4876 | 0.1292    | 0.1813     | 0.4563    | 0.5281 | 0.6718 | 0.7377  | 0.4       | 0.3949     | 0.782     | 0.7713  | 0.4122   | 0.1176      | -1.0         | 0.2414        | 0.6297    | 0.418         |
+| 12.4176       | 7.0   | 350  | 9.6682          | 0.4296 | 0.5886 | 0.4761 | 0.1167    | 0.1696     | 0.4603    | 0.5508 | 0.6912 | 0.7292  | 0.4       | 0.3756     | 0.7776    | 0.7733  | 0.4717   | 0.1867      | -1.0         | 0.2676        | 0.642     | 0.2362        |
+| 11.6697       | 8.0   | 400  | 9.6841          | 0.4459 | 0.6246 | 0.513  | 0.4       | 0.2667     | 0.4671    | 0.5424 | 0.6817 | 0.7307  | 0.4       | 0.5193     | 0.7683    | 0.7712  | 0.4534   | 0.1454      | -1.0         | 0.2424        | 0.6407    | 0.4224        |
+| 11.0414       | 9.0   | 450  | 9.6106          | 0.4878 | 0.6709 | 0.5571 | 0.3667    | 0.1876     | 0.512     | 0.5451 | 0.6827 | 0.7368  | 0.4       | 0.4472     | 0.7721    | 0.7738  | 0.4797   | 0.1304      | -1.0         | 0.2551        | 0.6483    | 0.6394        |
+| 10.6143       | 10.0  | 500  | 9.6546          | 0.4705 | 0.6521 | 0.5344 | 0.2       | 0.2496     | 0.4925    | 0.5388 | 0.6875 | 0.7263  | 0.4       | 0.4812     | 0.7609    | 0.7715  | 0.4915   | 0.1365      | -1.0         | 0.2446        | 0.6392    | 0.5397        |
+
+
+### Framework versions
+
+- Transformers 4.52.0.dev0
+- Pytorch 2.7.0+cu126
+- Datasets 3.6.0
+- Tokenizers 0.21.1

config.json

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+{
+  "activation_dropout": 0.0,
+  "activation_function": "silu",
+  "anchor_image_size": null,
+  "architectures": [
+    "RTDetrV2ForObjectDetection"
+  ],
+  "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,
+    "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_method": "default",
+  "decoder_n_levels": 3,
+  "decoder_n_points": 4,
+  "decoder_offset_scale": 0.5,
+  "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": "bin",
+    "1": "hand",
+    "2": "not_bin",
+    "3": "not_hand",
+    "4": "not_trash",
+    "5": "trash",
+    "6": "trash_arm"
+  },
+  "initializer_bias_prior_prob": null,
+  "initializer_range": 0.01,
+  "is_encoder_decoder": true,
+  "label2id": {
+    "bin": 0,
+    "hand": 1,
+    "not_bin": 2,
+    "not_hand": 3,
+    "not_trash": 4,
+    "trash": 5,
+    "trash_arm": 6
+  },
+  "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_v2",
+  "normalize_before": false,
+  "num_denoising": 100,
+  "num_feature_levels": 3,
+  "num_queries": 300,
+  "positional_encoding_temperature": 10000,
+  "torch_dtype": "float32",
+  "transformers_version": "4.52.0.dev0",
+  "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 171576780

training_args.bin

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