Upload folder using huggingface_hub
Browse files- README.md +45 -0
- checkpoint-1017/config.json +40 -0
- checkpoint-1017/model.safetensors +3 -0
- checkpoint-1017/optimizer.pt +3 -0
- checkpoint-1017/preprocessor_config.json +44 -0
- checkpoint-1017/rng_state.pth +3 -0
- checkpoint-1017/scheduler.pt +3 -0
- checkpoint-1017/trainer_state.json +3796 -0
- checkpoint-1017/training_args.bin +3 -0
- config.json +40 -0
- model.safetensors +3 -0
- preprocessor_config.json +44 -0
- runs/May25_15-08-52_r-rileybol-face-detection-v1-02a2uktc-0be61-3ycbl/events.out.tfevents.1716649733.r-rileybol-face-detection-v1-02a2uktc-0be61-3ycbl.157.0 +2 -2
- runs/May25_15-08-52_r-rileybol-face-detection-v1-02a2uktc-0be61-3ycbl/events.out.tfevents.1716650137.r-rileybol-face-detection-v1-02a2uktc-0be61-3ycbl.157.1 +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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---
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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: 0.7565978169441223
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map: 0.5582
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map_50: 0.9326
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map_75: 0.6075
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map_small: 0.025
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map_medium: 0.3937
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map_large: 0.618
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mar_1: 0.2923
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mar_10: 0.6329
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mar_100: 0.697
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mar_small: 0.3
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mar_medium: 0.5641
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mar_large: 0.7497
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checkpoint-1017/config.json
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{
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"_name_or_path": "hustvl/yolos-tiny",
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"architectures": [
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"YolosForObjectDetection"
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],
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"attention_probs_dropout_prob": 0.0,
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"auxiliary_loss": false,
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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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"eos_coefficient": 0.1,
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"giou_cost": 2,
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"giou_loss_coefficient": 2,
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"hidden_act": "gelu",
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"hidden_dropout_prob": 0.0,
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"hidden_size": 192,
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"id2label": {
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"0": "Face"
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},
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"image_size": [
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800,
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1333
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],
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"initializer_range": 0.02,
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"intermediate_size": 768,
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"label2id": {
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"Face": 0
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},
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"layer_norm_eps": 1e-12,
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"model_type": "yolos",
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"num_attention_heads": 3,
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"num_channels": 3,
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"num_detection_tokens": 100,
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"num_hidden_layers": 12,
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"patch_size": 16,
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"qkv_bias": true,
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"torch_dtype": "float32",
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"transformers_version": "4.41.0",
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"use_mid_position_embeddings": false
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}
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checkpoint-1017/model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:0d302c1624aade53174907fed704a071b5ca5ceff59f3a995c1f3f61ddc66c48
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size 25909400
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checkpoint-1017/optimizer.pt
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version https://git-lfs.github.com/spec/v1
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oid sha256:cdd2da5f32ea0309ee22f2083d9200b952e861182a5ef9eade966bbe7eeef4d9
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size 51946362
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checkpoint-1017/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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"image_mean",
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"image_std",
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"do_convert_annotations",
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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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0.406
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],
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"image_processor_type": "YolosImageProcessor",
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"image_std": [
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0.229,
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0.224,
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0.225
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],
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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-1017/rng_state.pth
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version https://git-lfs.github.com/spec/v1
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oid sha256:66b9c51d6cc590e777c30aca5726fb84e42b191b8887472fb23b4a2601c7e297
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size 14180
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checkpoint-1017/scheduler.pt
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version https://git-lfs.github.com/spec/v1
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oid sha256:a277adef8ec8a4f21fc75ab7804713adcdb684eb9f49d08f9078fc42e29338c9
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size 1064
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checkpoint-1017/trainer_state.json
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