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add logs dir
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‎logs/pretrain_to_task_logs/cifar10-cifar100.yaml‎

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pretrain: {}
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pretrain_to_task_config:
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device: cuda
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estimate_network_params:
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hidden_dim: 256
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num_classes: 10
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model:
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name: resnet18
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pretrained: true
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need_pretrain: false
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paths:
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checkpoint: /home/machenike/bmml/DataMetaMap/checkpoints/cifar10_pretrain.pt
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checkpoint_task: /home/machenike/bmml/DataMetaMap/checkpoints/best_model.pt
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data_dir: /home/machenike/bmml/DataMetaMap/data
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save_logs: /home/machenike/bmml/DataMetaMap/logs/pretrain_to_task_logs/cifar10-cifar100.yaml
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test_parquet: /home/machenike/bmml/DataMetaMap/pretrain_embeddings/test_embeds.parquet
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train_parquet: /home/machenike/bmml/DataMetaMap/pretrain_embeddings/train_embeds.parquet
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pretrain_dataset_name: cifar10
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pretrain_only: false
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seed: 42
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task_dataset_name: cifar100
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training:
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batch_size: 128
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early_stopping_epochs: 5
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epochs: 20
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lr: 0.0003
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val_split: 0.2
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training_task:
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batch_size: 128
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early_stopping_epochs: 10
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epochs: 20
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lr: 0.0003
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val_split: 0.2
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task:
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best_val_accuracy: 0.5028
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best_val_epoch: 19
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test_acc: 0.496

‎logs/pretrain_to_task_logs/cifar10-kmnist.yaml‎

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pretrain: {}
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pretrain_to_task_config:
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device: cuda
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estimate_network_params:
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hidden_dim: 256
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num_classes: 10
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model:
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name: resnet18
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pretrained: true
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need_pretrain: false
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paths:
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checkpoint: /home/machenike/bmml/DataMetaMap/checkpoints/cifar10_pretrain.pt
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checkpoint_task: /home/machenike/bmml/DataMetaMap/checkpoints/best_model.pt
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data_dir: /home/machenike/bmml/DataMetaMap/data
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save_logs: /home/machenike/bmml/DataMetaMap/logs/pretrain_to_task_logs/cifar10-kmnist.yaml
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test_parquet: /home/machenike/bmml/DataMetaMap/pretrain_embeddings/test_embeds.parquet
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train_parquet: /home/machenike/bmml/DataMetaMap/pretrain_embeddings/train_embeds.parquet
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pretrain_dataset_name: cifar10
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pretrain_only: false
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seed: 42
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task_dataset_name: kmnist
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training:
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batch_size: 128
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early_stopping_epochs: 5
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epochs: 20
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lr: 0.0003
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val_split: 0.2
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training_task:
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batch_size: 128
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early_stopping_epochs: 10
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epochs: 20
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lr: 0.0003
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val_split: 0.2
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task:
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best_val_accuracy: 0.9758333333333333
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best_val_epoch: 14
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test_acc: 0.9752

‎logs/pretrain_to_task_logs/cifar10-letters.yaml‎

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pretrain: {}
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pretrain_to_task_config:
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device: cuda
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estimate_network_params:
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hidden_dim: 256
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num_classes: 10
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model:
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name: resnet18
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pretrained: true
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need_pretrain: false
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paths:
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checkpoint: /home/machenike/bmml/DataMetaMap/checkpoints/cifar10_pretrain.pt
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checkpoint_task: /home/machenike/bmml/DataMetaMap/checkpoints/best_model.pt
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data_dir: /home/machenike/bmml/DataMetaMap/data
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save_logs: /home/machenike/bmml/DataMetaMap/logs/pretrain_to_task_logs/cifar10-letters.yaml
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test_parquet: /home/machenike/bmml/DataMetaMap/pretrain_embeddings/test_embeds.parquet
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train_parquet: /home/machenike/bmml/DataMetaMap/pretrain_embeddings/train_embeds.parquet
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pretrain_dataset_name: cifar10
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pretrain_only: false
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seed: 42
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task_dataset_name: letters
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training:
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batch_size: 128
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early_stopping_epochs: 5
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epochs: 20
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lr: 0.0003
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val_split: 0.2
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training_task:
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batch_size: 128
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early_stopping_epochs: 10
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epochs: 20
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lr: 0.0003
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val_split: 0.2
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task:
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best_val_accuracy: 0.8977163461538461
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best_val_epoch: 19
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test_acc: 0.896201923076923

‎logs/pretrain_to_task_logs/cifar10-mnist.yaml‎

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pretrain: best_val_epoch
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pretrain_to_task_config:
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device: cuda
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estimate_network_params:
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hidden_dim: 256
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num_classes: 10
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model:
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name: resnet18
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pretrained: true
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need_pretrain: true
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paths:
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checkpoint: /home/machenike/bmml/DataMetaMap/checkpoints/cifar10_pretrain.pt
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checkpoint_task: /home/machenike/bmml/DataMetaMap/checkpoints/best_model.pt
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data_dir: /home/machenike/bmml/DataMetaMap/data
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save_logs: /home/machenike/bmml/DataMetaMap/logs/pretrain_to_task_logs/cifar10-mnist.yaml
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test_parquet: /home/machenike/bmml/DataMetaMap/pretrain_embeddings/test_embeds.parquet
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train_parquet: /home/machenike/bmml/DataMetaMap/pretrain_embeddings/train_embeds.parquet
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pretrain_dataset_name: cifar10
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pretrain_only: false
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seed: 42
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task_dataset_name: mnist
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training:
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batch_size: 128
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early_stopping_epochs: 5
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epochs: 20
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lr: 0.0003
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val_split: 0.2
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training_task:
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batch_size: 128
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early_stopping_epochs: 10
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epochs: 20
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lr: 0.0003
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val_split: 0.2
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task:
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best_val_accuracy: 0.9723333333333334
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best_val_epoch: 16
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test_acc: 0.9714

‎logs/pretrain_to_task_logs/cifar100-cifar10.yaml‎

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pretrain: {}
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pretrain_to_task_config:
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device: cuda
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estimate_network_params:
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hidden_dim: 256
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num_classes: 10
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model:
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name: resnet18
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pretrained: true
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need_pretrain: false
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paths:
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checkpoint: /home/machenike/bmml/DataMetaMap/checkpoints/cifar100_pretrain.pt
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checkpoint_task: /home/machenike/bmml/DataMetaMap/checkpoints/best_model.pt
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data_dir: /home/machenike/bmml/DataMetaMap/data
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save_logs: /home/machenike/bmml/DataMetaMap/logs/pretrain_to_task_logs/cifar100-cifar10.yaml
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test_parquet: /home/machenike/bmml/DataMetaMap/pretrain_embeddings/test_embeds.parquet
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train_parquet: /home/machenike/bmml/DataMetaMap/pretrain_embeddings/train_embeds.parquet
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pretrain_dataset_name: cifar100
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pretrain_only: false
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seed: 42
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task_dataset_name: cifar10
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training:
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batch_size: 128
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early_stopping_epochs: 5
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epochs: 20
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lr: 0.0003
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val_split: 0.2
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training_task:
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batch_size: 128
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early_stopping_epochs: 10
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epochs: 20
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lr: 0.0003
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val_split: 0.2
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task:
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best_val_accuracy: 0.8867
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best_val_epoch: 10
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test_acc: 0.8798

‎logs/pretrain_to_task_logs/cifar100-kmnist.yaml‎

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pretrain: {}
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pretrain_to_task_config:
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device: cuda
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estimate_network_params:
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hidden_dim: 256
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num_classes: 10
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model:
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name: resnet18
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pretrained: true
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need_pretrain: false
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paths:
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checkpoint: /home/machenike/bmml/DataMetaMap/checkpoints/cifar100_pretrain.pt
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checkpoint_task: /home/machenike/bmml/DataMetaMap/checkpoints/best_model.pt
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data_dir: /home/machenike/bmml/DataMetaMap/data
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save_logs: /home/machenike/bmml/DataMetaMap/logs/pretrain_to_task_logs/cifar100-kmnist.yaml
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test_parquet: /home/machenike/bmml/DataMetaMap/pretrain_embeddings/test_embeds.parquet
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train_parquet: /home/machenike/bmml/DataMetaMap/pretrain_embeddings/train_embeds.parquet
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pretrain_dataset_name: cifar100
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pretrain_only: false
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seed: 42
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task_dataset_name: kmnist
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training:
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batch_size: 128
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early_stopping_epochs: 5
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epochs: 20
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lr: 0.0003
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val_split: 0.2
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training_task:
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batch_size: 128
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early_stopping_epochs: 10
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epochs: 20
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lr: 0.0003
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val_split: 0.2
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task:
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best_val_accuracy: 0.9846666666666667
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best_val_epoch: 15
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test_acc: 0.9796

‎logs/pretrain_to_task_logs/cifar100-letters.yaml‎

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pretrain: {}
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pretrain_to_task_config:
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device: cuda
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estimate_network_params:
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hidden_dim: 256
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num_classes: 10
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model:
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name: resnet18
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pretrained: true
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need_pretrain: false
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paths:
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checkpoint: /home/machenike/bmml/DataMetaMap/checkpoints/cifar100_pretrain.pt
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checkpoint_task: /home/machenike/bmml/DataMetaMap/checkpoints/best_model.pt
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data_dir: /home/machenike/bmml/DataMetaMap/data
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save_logs: /home/machenike/bmml/DataMetaMap/logs/pretrain_to_task_logs/cifar100-letters.yaml
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test_parquet: /home/machenike/bmml/DataMetaMap/pretrain_embeddings/test_embeds.parquet
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train_parquet: /home/machenike/bmml/DataMetaMap/pretrain_embeddings/train_embeds.parquet
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pretrain_dataset_name: cifar100
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pretrain_only: false
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seed: 42
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task_dataset_name: letters
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training:
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batch_size: 128
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early_stopping_epochs: 5
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epochs: 20
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lr: 0.0003
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val_split: 0.2
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training_task:
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batch_size: 128
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epochs: 20
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lr: 0.0003
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val_split: 0.2
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task:
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best_val_accuracy: 0.9174278846153846
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best_val_epoch: 16
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test_acc: 0.9126442307692307

‎logs/pretrain_to_task_logs/cifar100-mnist.yaml‎

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pretrain: best_val_epoch
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pretrain_to_task_config:
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device: cuda
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estimate_network_params:
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hidden_dim: 256
6+
num_classes: 10
7+
model:
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name: resnet18
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pretrained: true
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need_pretrain: true
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paths:
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checkpoint: /home/machenike/bmml/DataMetaMap/checkpoints/cifar100_pretrain.pt
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checkpoint_task: /home/machenike/bmml/DataMetaMap/checkpoints/best_model.pt
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data_dir: /home/machenike/bmml/DataMetaMap/data
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save_logs: /home/machenike/bmml/DataMetaMap/logs/pretrain_to_task_logs/cifar100-mnist.yaml
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test_parquet: /home/machenike/bmml/DataMetaMap/pretrain_embeddings/test_embeds.parquet
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train_parquet: /home/machenike/bmml/DataMetaMap/pretrain_embeddings/train_embeds.parquet
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pretrain_dataset_name: cifar100
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pretrain_only: false
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seed: 42
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task_dataset_name: mnist
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training:
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batch_size: 128
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early_stopping_epochs: 5
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epochs: 20
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lr: 0.0003
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val_split: 0.2
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training_task:
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early_stopping_epochs: 10
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epochs: 20
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lr: 0.0003
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val_split: 0.2
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task:
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best_val_accuracy: 0.98625
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best_val_epoch: 15
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test_acc: 0.9815

‎logs/pretrain_to_task_logs/imagenet-cifar10.yaml‎

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pretrain: {}
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pretrain_to_task_config:
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device: cuda
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estimate_network_params:
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hidden_dim: 256
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num_classes: 10
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model:
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name: resnet18
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pretrained: true
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need_pretrain: false
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paths:
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checkpoint: /home/machenike/bmml/DataMetaMap/checkpoints/imagenet_pretrain.pt
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checkpoint_task: /home/machenike/bmml/DataMetaMap/checkpoints/best_model.pt
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data_dir: /home/machenike/bmml/DataMetaMap/data
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save_logs: /home/machenike/bmml/DataMetaMap/logs/pretrain_to_task_logs/imagenet-cifar10.yaml
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test_parquet: /home/machenike/bmml/DataMetaMap/pretrain_embeddings/test_embeds.parquet
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train_parquet: /home/machenike/bmml/DataMetaMap/pretrain_embeddings/train_embeds.parquet
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pretrain_dataset_name: imagenet
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pretrain_only: false
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seed: 42
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task_dataset_name: cifar10
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training:
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batch_size: 128
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early_stopping_epochs: 5
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lr: 0.0003
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training_task:
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epochs: 20
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lr: 0.0003
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val_split: 0.2
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use_basic_model: true
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task:
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best_val_accuracy: 0.898
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best_val_epoch: 12
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test_acc: 0.8834

‎logs/pretrain_to_task_logs/imagenet-cifar100.yaml‎

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pretrain: {}
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pretrain_to_task_config:
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device: cuda
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estimate_network_params:
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hidden_dim: 256
6+
num_classes: 10
7+
model:
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name: resnet18
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pretrained: true
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need_pretrain: false
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paths:
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checkpoint: /home/machenike/bmml/DataMetaMap/checkpoints/imagenet_pretrain.pt
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checkpoint_task: /home/machenike/bmml/DataMetaMap/checkpoints/best_model.pt
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data_dir: /home/machenike/bmml/DataMetaMap/data
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save_logs: /home/machenike/bmml/DataMetaMap/logs/pretrain_to_task_logs/imagenet-cifar100.yaml
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test_parquet: /home/machenike/bmml/DataMetaMap/pretrain_embeddings/test_embeds.parquet
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train_parquet: /home/machenike/bmml/DataMetaMap/pretrain_embeddings/train_embeds.parquet
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pretrain_dataset_name: imagenet
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pretrain_only: false
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seed: 42
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task_dataset_name: cifar100
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training:
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batch_size: 128
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early_stopping_epochs: 5
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epochs: 20
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lr: 0.0003
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val_split: 0.2
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training_task:
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batch_size: 128
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early_stopping_epochs: 10
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epochs: 20
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lr: 0.0003
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val_split: 0.2
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use_basic_model: true
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task:
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best_val_accuracy: 0.6802
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best_val_epoch: 9
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test_acc: 0.6789

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