Upload folder using huggingface_hub
Browse files- README.md +46 -0
- checkpoint-624/config.json +40 -0
- checkpoint-624/model.safetensors +3 -0
- checkpoint-624/optimizer.pt +3 -0
- checkpoint-624/preprocessor_config.json +44 -0
- checkpoint-624/rng_state.pth +3 -0
- checkpoint-624/scheduler.pt +3 -0
- checkpoint-624/trainer_state.json +1674 -0
- checkpoint-624/training_args.bin +3 -0
- config.json +40 -0
- model.safetensors +3 -0
- preprocessor_config.json +44 -0
- runs/Jun07_08-29-33_r-to-be-autotrain-advanced-bh4wdktd-bb651-htfxj/events.out.tfevents.1717748974.r-to-be-autotrain-advanced-bh4wdktd-bb651-htfxj.151.0 +2 -2
- runs/Jun07_08-29-33_r-to-be-autotrain-advanced-bh4wdktd-bb651-htfxj/events.out.tfevents.1717749412.r-to-be-autotrain-advanced-bh4wdktd-bb651-htfxj.151.1 +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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base_model: hustvl/yolos-tiny
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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: 1.4424972534179688
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map: 0.0152
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map_50: 0.053
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map_75: 0.005
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map_small: -1.0
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map_medium: 0.018
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map_large: 0.0094
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mar_1: 0.0473
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mar_10: 0.1992
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mar_100: 0.3797
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mar_small: -1.0
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mar_medium: 0.3686
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mar_large: 0.4261
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checkpoint-624/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": 0
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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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"0": 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-624/model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:728be27ebde033c9db82f536d83740166daf3ba9e0139639469ccc1618c81263
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size 25909400
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checkpoint-624/optimizer.pt
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version https://git-lfs.github.com/spec/v1
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oid sha256:6823d0684c194eecc7a7500a48dccc2c30e25bcf5fe7801c55a3439e86300b14
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size 51946362
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checkpoint-624/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-624/rng_state.pth
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version https://git-lfs.github.com/spec/v1
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oid sha256:b4ab05c41f8acd6becf31ed2ae9fec5c6805fe9f47e5a914504e55b01f8df497
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size 14244
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checkpoint-624/scheduler.pt
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version https://git-lfs.github.com/spec/v1
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oid sha256:e92105533540354ff07de82d6db4122319ea163c82fa2ee9a3080419efcdcbc1
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size 1064
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checkpoint-624/trainer_state.json
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