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experiment_raport.json
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experiment_raport.json
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{"run": {"data": "/data/imagenet", "data_backend": "pytorch", "arch": "resnet50", "model_config": "ignorefirst10", "workers": 5, "epochs": 90, "start_epoch": 100, "batch_size": 128, "optimizer_batch_size": -1, "lr": 0.1, "lr_schedule": "step", "warmup": 0, "label_smoothing": 0.0, "mixup": 0.0, "momentum": 0.9, "weight_decay": 0.0001, "bn_weight_decay": false, "nesterov": false, "print_freq": 10, "resume": "dnw-micronet-checkpoint.tar", "pretrained_weights": "", "fp16": false, "static_loss_scale": 1, "dynamic_loss_scale": false, "prof": -1, "amp": false, "local_rank": 0, "seed": null, "gather_checkpoints": false, "raport_file": "experiment_raport.json", "final_weights": "model.pth.tar", "evaluate": true, "training_only": false, "save_checkpoints": true, "workspace": "./", "distributed": false, "gpu": 0, "world_size": 1}, "epoch": {"ep": [0], "val.top1": [75.228], "val.top5": [92.62], "val.loss": [1.0581687014007568], "val.compute_ips": [701.0148642751443], "val.total_ips": 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