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detr_finetuned_trashify_box_detector_synthetic_data_only

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conditional_detr
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upload trashify box detection model trained on purely synthetic data

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  1. README.md +108 -0
  2. config.json +71 -0
  3. model.safetensors +3 -0
  4. preprocessor_config.json +29 -0
  5. training_args.bin +3 -0
README.md ADDED
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+ ---
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+ license: apache-2.0
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+ base_model: microsoft/conditional-detr-resnet-50
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+ tags:
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+ - generated_from_trainer
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+ model-index:
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+ - name: trashify-box-detection-model-synthetic-data-only
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+ results: []
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+ ---
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+
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+ <!-- This model card has been generated automatically according to the information the Trainer had access to. You
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+ should probably proofread and complete it, then remove this comment. -->
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+
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+ # trashify-box-detection-model-synthetic-data-only
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+
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+ This model is a fine-tuned version of [microsoft/conditional-detr-resnet-50](https://huggingface.co/microsoft/conditional-detr-resnet-50) on an unknown dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 0.9981
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+
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+ ## Model description
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+
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+ More information needed
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+
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+ ## Intended uses & limitations
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+
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+ More information needed
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+
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+ ## Training and evaluation data
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+
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+ More information needed
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+
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+ ## Training procedure
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+
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+ ### Training hyperparameters
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+
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+ The following hyperparameters were used during training:
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+ - learning_rate: 0.0001
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+ - train_batch_size: 32
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+ - eval_batch_size: 32
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+ - seed: 42
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+ - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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+ - lr_scheduler_type: linear
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+ - lr_scheduler_warmup_ratio: 0.05
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+ - num_epochs: 50
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+ - mixed_precision_training: Native AMP
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+
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+ ### Training results
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+
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+ | Training Loss | Epoch | Step | Validation Loss |
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+ |:-------------:|:-----:|:----:|:---------------:|
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+ | 61.6636 | 1.0 | 83 | 4.7558 |
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+ | 3.6677 | 2.0 | 166 | 2.7089 |
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+ | 2.8053 | 3.0 | 249 | 2.4394 |
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+ | 2.5214 | 4.0 | 332 | 2.0961 |
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+ | 2.3314 | 5.0 | 415 | 1.9080 |
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+ | 2.1984 | 6.0 | 498 | 1.7241 |
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+ | 2.1242 | 7.0 | 581 | 1.6452 |
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+ | 2.0397 | 8.0 | 664 | 1.5851 |
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+ | 1.9768 | 9.0 | 747 | 1.6050 |
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+ | 1.9331 | 10.0 | 830 | 1.4683 |
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+ | 1.9034 | 11.0 | 913 | 1.4983 |
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+ | 1.8388 | 12.0 | 996 | 1.4433 |
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+ | 1.8016 | 13.0 | 1079 | 1.3840 |
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+ | 1.7536 | 14.0 | 1162 | 1.3470 |
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+ | 1.7232 | 15.0 | 1245 | 1.3208 |
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+ | 1.7181 | 16.0 | 1328 | 1.3386 |
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+ | 1.6767 | 17.0 | 1411 | 1.2681 |
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+ | 1.657 | 18.0 | 1494 | 1.2348 |
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+ | 1.6222 | 19.0 | 1577 | 1.2102 |
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+ | 1.5906 | 20.0 | 1660 | 1.1885 |
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+ | 1.546 | 21.0 | 1743 | 1.1645 |
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+ | 1.5524 | 22.0 | 1826 | 1.1788 |
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+ | 1.5119 | 23.0 | 1909 | 1.1606 |
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+ | 1.4963 | 24.0 | 1992 | 1.1689 |
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+ | 1.4932 | 25.0 | 2075 | 1.1395 |
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+ | 1.4651 | 26.0 | 2158 | 1.1246 |
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+ | 1.4358 | 27.0 | 2241 | 1.1250 |
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+ | 1.4294 | 28.0 | 2324 | 1.1090 |
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+ | 1.4277 | 29.0 | 2407 | 1.1183 |
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+ | 1.4061 | 30.0 | 2490 | 1.1300 |
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+ | 1.3885 | 31.0 | 2573 | 1.0943 |
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+ | 1.3731 | 32.0 | 2656 | 1.0680 |
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+ | 1.3811 | 33.0 | 2739 | 1.0820 |
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+ | 1.3436 | 34.0 | 2822 | 1.0585 |
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+ | 1.3314 | 35.0 | 2905 | 1.0574 |
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+ | 1.347 | 36.0 | 2988 | 1.0766 |
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+ | 1.3341 | 37.0 | 3071 | 1.0249 |
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+ | 1.3188 | 38.0 | 3154 | 1.0250 |
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+ | 1.3057 | 39.0 | 3237 | 1.0263 |
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+ | 1.2932 | 40.0 | 3320 | 1.0307 |
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+ | 1.2703 | 41.0 | 3403 | 1.0137 |
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+ | 1.286 | 42.0 | 3486 | 1.0072 |
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+ | 1.2864 | 43.0 | 3569 | 1.0097 |
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+ | 1.2493 | 44.0 | 3652 | 0.9997 |
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+ | 1.2511 | 45.0 | 3735 | 0.9994 |
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+ | 1.2428 | 46.0 | 3818 | 1.0030 |
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+ | 1.2306 | 47.0 | 3901 | 0.9964 |
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+ | 1.2258 | 48.0 | 3984 | 1.0002 |
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+ | 1.2307 | 49.0 | 4067 | 0.9977 |
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+ | 1.2251 | 50.0 | 4150 | 0.9981 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.44.0
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+ - Pytorch 2.2.0+cu121
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+ - Datasets 2.20.0
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+ - Tokenizers 0.19.1
config.json ADDED
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+ {
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+ "_name_or_path": "microsoft/conditional-detr-resnet-50",
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+ "activation_dropout": 0.0,
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+ "activation_function": "relu",
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+ "architectures": [
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+ "ConditionalDetrForObjectDetection"
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+ ],
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+ "attention_dropout": 0.0,
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+ "auxiliary_loss": false,
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+ "backbone": "resnet50",
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+ "backbone_config": null,
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+ "backbone_kwargs": {
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+ "in_chans": 3,
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+ "out_indices": [
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+ 1,
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+ 2,
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+ 3,
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+ 4
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+ ]
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+ },
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+ "bbox_cost": 5,
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+ "bbox_loss_coefficient": 5,
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+ "class_cost": 2,
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+ "cls_loss_coefficient": 2,
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+ "d_model": 256,
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+ "decoder_attention_heads": 8,
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+ "decoder_ffn_dim": 2048,
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+ "decoder_layerdrop": 0.0,
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+ "decoder_layers": 6,
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+ "dice_loss_coefficient": 1,
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+ "dilation": false,
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+ "dropout": 0.1,
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+ "encoder_attention_heads": 8,
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+ "encoder_ffn_dim": 2048,
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+ "encoder_layerdrop": 0.0,
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+ "encoder_layers": 6,
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+ "focal_alpha": 0.25,
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+ "giou_cost": 2,
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+ "giou_loss_coefficient": 2,
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+ "id2label": {
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+ "0": "bin",
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+ "1": "hand",
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+ "2": "not_bin",
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+ "3": "not_hand",
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+ "4": "not_trash",
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+ "5": "trash"
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+ },
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+ "init_std": 0.02,
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+ "init_xavier_std": 1.0,
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+ "is_encoder_decoder": true,
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+ "label2id": {
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+ "bin": 0,
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+ "hand": 1,
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+ "not_bin": 2,
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+ "not_hand": 3,
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+ "not_trash": 4,
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+ "trash": 5
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+ },
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+ "mask_loss_coefficient": 1,
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+ "max_position_embeddings": 1024,
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+ "model_type": "conditional_detr",
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+ "num_channels": 3,
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+ "num_hidden_layers": 6,
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+ "num_queries": 300,
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+ "position_embedding_type": "sine",
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+ "scale_embedding": false,
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+ "torch_dtype": "float32",
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+ "transformers_version": "4.44.0",
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+ "use_pretrained_backbone": true,
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+ "use_timm_backbone": true
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+ }
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+ "do_convert_annotations": true,
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+ "do_normalize": true,
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+ "do_pad": true,
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+ "do_rescale": true,
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+ "do_resize": true,
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+ "format": "coco_detection",
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+ "image_mean": [
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+ 0.485,
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+ 0.456,
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+ 0.406
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+ ],
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+ "image_processor_type": "ConditionalDetrImageProcessor",
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+ "image_std": [
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+ 0.229,
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+ "pad_size": {
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+ "height": 480,
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