Upload folder using huggingface_hub
Browse files- README.md +47 -0
- checkpoint-2625/config.json +61 -0
- checkpoint-2625/model.safetensors +3 -0
- checkpoint-2625/optimizer.pt +3 -0
- checkpoint-2625/preprocessor_config.json +44 -0
- checkpoint-2625/rng_state.pth +3 -0
- checkpoint-2625/scheduler.pt +3 -0
- checkpoint-2625/trainer_state.json +0 -0
- checkpoint-2625/training_args.bin +3 -0
- config.json +61 -0
- model.safetensors +3 -0
- preprocessor_config.json +44 -0
- runs/May22_12-56-22_ad8f4737b93e/events.out.tfevents.1716382583.ad8f4737b93e.207.0 +2 -2
- runs/May22_12-56-22_ad8f4737b93e/events.out.tfevents.1716385201.ad8f4737b93e.207.1 +3 -0
- training_args.bin +3 -0
- training_params.json +30 -0
README.md
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---
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tags:
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- autotrain
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- object-detection
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- vision
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widget:
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- src: https://huggingface.co/datasets/mishig/sample_images/resolve/main/tiger.jpg
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example_title: Tiger
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- src: https://huggingface.co/datasets/mishig/sample_images/resolve/main/teapot.jpg
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example_title: Teapot
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- src: https://huggingface.co/datasets/mishig/sample_images/resolve/main/palace.jpg
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example_title: Palace
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datasets:
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- cppe-5
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---
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# Model Trained Using AutoTrain
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- Problem type: Object Detection
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## Validation Metrics
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loss: 1.3475022315979004
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map: 0.2746
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map_50: 0.5638
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map_75: 0.2333
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map_small: 0.1345
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map_medium: 0.2275
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map_large: 0.4482
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mar_1: 0.2715
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mar_10: 0.4663
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mar_100: 0.49
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mar_small: 0.1839
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mar_medium: 0.4158
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mar_large: 0.6686
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checkpoint-2625/config.json
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{
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"_name_or_path": "facebook/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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"DetrForObjectDetection"
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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": null,
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"bbox_cost": 5,
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"bbox_loss_coefficient": 5,
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"class_cost": 1,
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"classifier_dropout": 0.0,
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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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"eos_coefficient": 0.1,
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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": "detr",
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"num_channels": 3,
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"num_hidden_layers": 6,
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"num_queries": 100,
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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": "4.40.1",
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"use_pretrained_backbone": true,
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"use_timm_backbone": true
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}
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checkpoint-2625/model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:6a96a05639f050bac07b5c25cb93d7bca3f79d78435b5b462ae41204f8059b56
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size 166498936
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checkpoint-2625/optimizer.pt
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version https://git-lfs.github.com/spec/v1
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size 330499962
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checkpoint-2625/preprocessor_config.json
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{
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"_valid_processor_keys": [
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"images",
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"annotations",
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"return_segmentation_masks",
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"masks_path",
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"do_resize",
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"size",
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"resample",
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"do_rescale",
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"rescale_factor",
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"do_normalize",
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"do_convert_annotations",
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"image_mean",
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"image_std",
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"do_pad",
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"format",
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"return_tensors",
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"data_format",
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"input_data_format"
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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": false,
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"do_rescale": true,
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"do_resize": false,
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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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],
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"image_processor_type": "DetrImageProcessor",
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"image_std": [
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0.229,
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"resample": 2,
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"rescale_factor": 0.00392156862745098,
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"size": {
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"longest_edge": 600
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}
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}
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checkpoint-2625/rng_state.pth
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version https://git-lfs.github.com/spec/v1
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size 14244
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checkpoint-2625/scheduler.pt
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version https://git-lfs.github.com/spec/v1
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size 1064
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checkpoint-2625/trainer_state.json
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The diff for this file is too large to render.
See raw diff
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checkpoint-2625/training_args.bin
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version https://git-lfs.github.com/spec/v1
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size 4984
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config.json
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"_name_or_path": "facebook/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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"DetrForObjectDetection"
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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": null,
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"bbox_cost": 5,
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"bbox_loss_coefficient": 5,
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"class_cost": 1,
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"classifier_dropout": 0.0,
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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_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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"eos_coefficient": 0.1,
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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": "detr",
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"num_channels": 3,
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"num_hidden_layers": 6,
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"num_queries": 100,
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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": "4.40.1",
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"use_pretrained_backbone": true,
|
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"use_timm_backbone": true
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}
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model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:6a96a05639f050bac07b5c25cb93d7bca3f79d78435b5b462ae41204f8059b56
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size 166498936
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preprocessor_config.json
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{
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"_valid_processor_keys": [
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"images",
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"annotations",
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"return_segmentation_masks",
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"masks_path",
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"do_resize",
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"size",
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"resample",
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"do_rescale",
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"rescale_factor",
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"do_normalize",
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"do_convert_annotations",
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"image_mean",
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"image_std",
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"do_pad",
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"format",
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"format": "coco_detection",
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"image_processor_type": "DetrImageProcessor",
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"size": {
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}
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}
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runs/May22_12-56-22_ad8f4737b93e/events.out.tfevents.1716382583.ad8f4737b93e.207.0
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runs/May22_12-56-22_ad8f4737b93e/events.out.tfevents.1716385201.ad8f4737b93e.207.1
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size 1548
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training_args.bin
ADDED
@@ -0,0 +1,3 @@
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version https://git-lfs.github.com/spec/v1
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oid sha256:f85b9a4b6e40faa96ec2333d12415aca3c1ced29a29f4232ddc18650c20cd79c
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size 4984
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training_params.json
ADDED
@@ -0,0 +1,30 @@
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{
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2 |
+
"data_path": "cppe-5",
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3 |
+
"model": "facebook/detr-resnet-50",
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"username": "Aryan-401",
|
5 |
+
"lr": 5e-05,
|
6 |
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"epochs": 100,
|
7 |
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"batch_size": 8,
|
8 |
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"warmup_ratio": 0.1,
|
9 |
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"gradient_accumulation": 1,
|
10 |
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"optimizer": "adamw_torch",
|
11 |
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"scheduler": "linear",
|
12 |
+
"weight_decay": 0.0,
|
13 |
+
"max_grad_norm": 1.0,
|
14 |
+
"seed": 69,
|
15 |
+
"train_split": "train",
|
16 |
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"valid_split": "test",
|
17 |
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"logging_steps": -1,
|
18 |
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"project_name": "detr-resnet-50-cppe5",
|
19 |
+
"auto_find_batch_size": true,
|
20 |
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"mixed_precision": "fp16",
|
21 |
+
"save_total_limit": 1,
|
22 |
+
"push_to_hub": true,
|
23 |
+
"evaluation_strategy": "epoch",
|
24 |
+
"image_column": "image",
|
25 |
+
"objects_column": "objects",
|
26 |
+
"log": "tensorboard",
|
27 |
+
"image_square_size": 600,
|
28 |
+
"early_stopping_patience": 5,
|
29 |
+
"early_stopping_threshold": 0.01
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30 |
+
}
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