fix(configs): update film_simclr_resnet18.yaml with new clustering parameters and optimizer settings
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@@ -11,6 +11,8 @@ _base_:
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method: simclr
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num_clusters: 10
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simclr:
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backbone:
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# _replace_ 必须保留:不加的话 base 里 tiny_conv 的 widths/depths/block 会残留,
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@@ -31,5 +33,6 @@ simclr:
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feature_stages: [5, 6]
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# resnet18 比 tiny_conv 重得多(11.2M vs 0.3M),显存和耗时都要留余量
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batch_size: 128
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epochs: 40
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batch_size: 1024
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epochs: 300
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optimizer: {name: adamw, lr: 0.01, weight_decay: 0.0001}
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