fix(configs): update num_clusters and training parameters in film_simclr_resnet18.yaml
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@@ -11,7 +11,7 @@ _base_:
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method: simclr
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num_clusters: 10
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num_clusters: 5
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simclr:
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backbone:
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@@ -34,5 +34,5 @@ simclr:
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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: 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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epochs: 1700
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optimizer: {name: adamw, lr: 0.001, weight_decay: 0.0001}
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