Commit
•
de9dfab
1
Parent(s):
15d817f
commit files to HF hub
Browse files- README.md +24 -0
- config.json +40 -0
- model.safetensors +3 -0
- preprocessor_config.json +24 -0
- runs/events.out.tfevents.1705682544.0203955ef218.168.4 +3 -0
README.md
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---
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tags:
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- image-classification
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- pytorch
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- huggingpics
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metrics:
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- accuracy
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model-index:
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- name: house-object-detection
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results:
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- task:
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name: Object detection
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type: object-detection
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metrics:
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- name: Accuracy
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type: accuracy
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value: 0.5282893180847168
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---
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# house-object-detection
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Detect house objects in images
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config.json
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{
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"_name_or_path": "hustvl/yolos-small",
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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": 384,
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"id2label": {
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"0": "LABEL_0"
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},
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"image_size": [
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512,
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864
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],
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"initializer_range": 0.02,
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"intermediate_size": 1536,
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"label2id": {
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"LABEL_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": 6,
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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": "4.38.0.dev0",
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"use_mid_position_embeddings": 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 sha256:35b89db5acfce816221e99dfce35f90b284e2820bfd4f851cf6e83fefcedc66b
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size 122624672
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preprocessor_config.json
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{
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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": "YolosFeatureExtractor",
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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": 864,
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"shortest_edge": 512
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}
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}
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runs/events.out.tfevents.1705682544.0203955ef218.168.4
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version https://git-lfs.github.com/spec/v1
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oid sha256:0dee37fa94d567b565bd98b30dd7b8117b66ddcdc888f5cc447631b40b80e9d1
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size 6008
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