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End of training

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README.md ADDED
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+ ---
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+ library_name: transformers
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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: detr_finetuned_cppe5
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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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+ # detr_finetuned_cppe5
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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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+
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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: 5e-05
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+ - train_batch_size: 8
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+ - eval_batch_size: 8
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+ - seed: 42
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+ - optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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+ - lr_scheduler_type: cosine
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+ - num_epochs: 30
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+
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+ ### Framework versions
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+
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+ - Transformers 4.47.1
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+ - Pytorch 2.5.1+cu121
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+ - Datasets 3.2.0
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+ - Tokenizers 0.21.0
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": "Coverall",
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+ "1": "Face_Shield",
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+ "2": "Gloves",
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+ "3": "Goggles",
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+ "4": "Mask"
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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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+ "Coverall": 0,
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+ "Face_Shield": 1,
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+ "Gloves": 2,
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+ "Goggles": 3,
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+ "Mask": 4
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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": "4.47.1",
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+ "use_pretrained_backbone": true,
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+ "use_timm_backbone": true
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+ }
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