:sparkles: Add checkpoint
Browse files- README.md +16 -0
- config.yaml +64 -0
- resnet18_c100.ckpt +3 -0
README.md
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---
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license: apache-2.0
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---
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---
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license: apache-2.0
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tags:
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- vision
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- classification
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- uncertainty
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datasets:
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- cifar-100
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---
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# Standard ResNet trained on CIFAR-100
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## How to use
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Download [TorchUncertainty](https://torch-uncertainty.github.io/) to use this model.
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## License
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These weights are provided under the Apache 2.0 license.
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config.yaml
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accelerator: null
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accumulate_grad_batches: null
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amp_backend: null
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amp_level: null
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auto_augment: null
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auto_lr_find: false
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auto_scale_batch_size: false
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auto_select_gpus: null
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batch_size: 128
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benchmark: null
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check_val_every_n_epoch: 1
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corrupution_severity: 1
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default_root_dir: null
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detect_anomaly: false
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deterministic: false
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devices: null
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enable_checkpointing: true
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enable_cutout: false
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enable_model_summary: true
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enable_pixmix: false
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enable_progress_bar: false
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enable_randaugment: false
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fast_dev_run: false
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gpus: 1
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gradient_clip_algorithm: null
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gradient_clip_val: null
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inference_mode: true
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ipus: null
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limit_predict_batches: null
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limit_test_batches: null
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limit_train_batches: null
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limit_val_batches: null
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log_every_n_steps: 50
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log_graph: false
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logger: true
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max_epochs: 75
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max_steps: -1
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max_time: null
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min_epochs: null
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min_steps: null
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move_metrics_to_cpu: false
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multi_gpu: false
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multiple_trainloader_mode: max_size_cycle
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num_nodes: 1
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num_processes: null
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num_sanity_val_steps: 2
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num_workers: 4
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only_info: false
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overfit_batches: 0.0
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plugins: null
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precision: 16
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profile: false
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profiler: null
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reload_dataloaders_every_n_epochs: 0
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replace_sampler_ddp: true
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resume_from_checkpoint: null
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save_every: null
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seed: null
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strategy: null
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sync_batchnorm: false
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test: null
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tpu_cores: null
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track_grad_norm: -1
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use_1v2: false
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resnet18_c100.ckpt
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version https://git-lfs.github.com/spec/v1
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oid sha256:a0cadf23575b2421ede6e724c42c6d091b3e1f5f706a81c8f263e8e0b62d5641
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size 89992119
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