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  1. README.md +9 -0
  2. config.json +88 -0
README.md ADDED
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+ ---
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+ tags:
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+ - pytorch_model_hub_mixin
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+ - model_hub_mixin
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+ ---
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+
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+ This model has been pushed to the Hub using the [PytorchModelHubMixin](https://huggingface.co/docs/huggingface_hub/package_reference/mixins#huggingface_hub.PyTorchModelHubMixin) integration:
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+ - Library: [More Information Needed]
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+ - Docs: [More Information Needed]
config.json ADDED
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+ {
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+ "cfg": {
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+ "base_lr": 0.0001,
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+ "batch_size": 256,
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+ "batch_size_val": 256,
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+ "beta1": 0.5,
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+ "beta2": 0.5,
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+ "ckpt_path": "/data02/xy/GeoRSCLIP/codebase/inference/pretrain/RS5M_ViT-B-32.pt",
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+ "clip_pretrain": "./cisen/pretrain/RS5M_ViT-B-32.pt",
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+ "contrastive": [
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+ 0.4,
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+ 0.3,
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+ 0.3
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+ ],
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+ "dataset": "classification",
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+ "dataset_json_file": "/data02/xy/dataEngine/json_data/LuojiaHOG(test)_.json",
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+ "dataset_query_split": 0.2,
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+ "dataset_train_split": 0.6,
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+ "dim_ffn": 2048,
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+ "dist_backend": "nccl",
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+ "dist_url": "tcp://localhost:3693",
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+ "dropout": 0.1,
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+ "emb_dim": 768,
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+ "epochs": 50,
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+ "eta": 0.2,
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+ "evaluate": true,
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+ "exp_name": "classifi",
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+ "fpn_in": [
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+ 512,
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+ 768,
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+ 768
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+ ],
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+ "fpn_out": [
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+ 768,
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+ 768,
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+ 768,
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+ 512
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+ ],
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+ "gpu": [
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+ 0
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+ ],
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+ "heads": 12,
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+ "image_resolution": 224,
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+ "imgs_folder": "/data02/xy/Clip-hash/datasets/image/",
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+ "input_size": 224,
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+ "intermediate": false,
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+ "label_path": "/data02/xy/Clip-hash/labels.txt",
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+ "lamda1": 0.5,
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+ "lamda2": 0.5,
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+ "lr_decay": 0.5,
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+ "lr_multi": 0.1,
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+ "manual_seed": 0,
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+ "max_norm": 0.0,
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+ "milestones": [
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+ 50
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+ ],
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+ "min_lr": 1e-08,
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+ "model_name": "ViT-B-32",
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+ "multiprocessing_distributed": true,
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+ "num_classes": 10,
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+ "num_head": 8,
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+ "num_layers": 3,
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+ "output_dim": 512,
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+ "output_folder": "/data02/xy/Clip-hash/exp/",
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+ "print_freq": 1,
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+ "rank": 0,
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+ "ratio": 0,
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+ "resume": false,
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+ "save_freq": 1,
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+ "start_epoch": 0,
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+ "sync_bn": true,
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+ "test_batch_size": 256,
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+ "test_lmdb": "/data02/xy/Clip-hash/datasets/lmdb/refcoco/val.lmdb",
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+ "test_split": "val-test",
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+ "topk": 5,
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+ "val_batch_size": 1,
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+ "vis_dim": 512,
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+ "visualize": false,
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+ "warmup_epochs": 0,
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+ "weight": null,
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+ "weight_decay": 0.0,
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+ "word_dim": 1024,
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+ "word_len": 328,
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+ "workers": 32,
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+ "workers_val": 16,
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+ "world_size": 1
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+ }
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+ }