Training in progress, step 871
Browse files- .gitignore +1 -0
- config.json +48 -0
- preprocessor_config.json +24 -0
- pytorch_model.bin +3 -0
- runs/Jul30_17-44-01_94d35fcb3b97/events.out.tfevents.1690739055.94d35fcb3b97.678.0 +3 -0
- training_args.bin +3 -0
.gitignore
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checkpoint-*/
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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": "helmet",
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"1": "helmet-blurred",
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"2": "helmet-difficult",
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"3": "helmet-partial",
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"4": "helmet-sideline"
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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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"helmet": 0,
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"helmet-blurred": 1,
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"helmet-difficult": 2,
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"helmet-partial": 3,
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"helmet-sideline": 4
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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": "4.31.0",
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"use_mid_position_embeddings": false
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}
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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": "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": 1333,
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"shortest_edge": 512
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}
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}
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pytorch_model.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:eadea7a5fcf992cb5361055f23d0e0119bc5dbb537b0a6a90a242c648060b760
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size 25959577
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runs/Jul30_17-44-01_94d35fcb3b97/events.out.tfevents.1690739055.94d35fcb3b97.678.0
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version https://git-lfs.github.com/spec/v1
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oid sha256:d05314ba5ffe40f6f82331e6db7b5ab3698e97c8527522529ec1696005b07216
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size 5921
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training_args.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:6278f59ee719cf796a6e8d63c97692384b59f5a5a8cbc26492b76d108563b6f9
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size 3963
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