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liangshuxin/domainbed-5ca2d324a7bfba6562ceaaa619ab7bfd
domainbed-5ca2d324a7bfba6562ceaaa619ab7bfd is a machine learning model from liangshuxin. Use it for the machine learning task on the model card, and read the license before you ship it in a product.
This model was trained using the DomainBed framework.
Downloads · 30 days
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Updated Dec 6, 2024
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.pkl94.5 MB · 100%
From the Hugging Face model README
This model was trained using the DomainBed framework.
{
"args": {
"algorithm": "IRM",
"checkpoint_freq": null,
"data_dir": "./domainbed/data/",
"dataset": "PACS",
"holdout_fraction": 0.2,
"hparams": null,
"hparams_seed": 0,
"output_dir": "/my/sweep/output/path/5ca2d324a7bfba6562ceaaa619ab7bfd",
"save_model_every_checkpoint": false,
"seed": 770367410,
"skip_model_save": false,
"steps": null,
"task": "domain_generalization",
"test_envs": [
3
],
"trial_seed": 0,
"uda_holdout_fraction": 0
},
"env0_in_acc": 0.5609756097560976,
"env0_out_acc": 0.5869565217391305,
"env1_in_acc": 0.7812128418549346,
"env1_out_acc": 0.6476190476190476,
"env2_in_acc": 0.8063439065108514,
"env2_out_acc": 0.7651006711409396,
"env3_in_acc": 0.283793347487615,
"env3_out_acc": 0.24645892351274787,
"epoch": 267.1118530884808,
"hparams": {
"batch_size": 32,
"class_balanced": false,
"data_augmentation": true,
"dinov2": false,
"freeze_bn": false,
"irm_lambda": 100.0,
"irm_penalty_anneal_iters": 500,
"lars": false,
"linear_steps": 500,
"lr": 5e-05,
"nonlinear_classifier": false,
"resnet18": false,
"resnet50_augmix": true,
"resnet_dropout": 0.0,
"vit": false,
"vit_attn_tune": false,
"vit_dropout": 0.0,
"weight_decay": 0.0
},
"loss": -84.21774973392486,
"mem_gb": 8.134162425994873,
"nll": 2.6859303227066995,
"penalty": -0.8690367969870567,
"step": 5000,
"step_time": 0.16063995361328126
}