remove mlp + add batch norm + last 4 avg pool layer as in the paper of IJEPA
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@@ -10,9 +10,8 @@ grid:
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optimization.momentum: [0.9, 0.99, 0.5]
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optimization.lr_schedule: [cosine, step]
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data.batch_size: [32, 64, 128, 256]
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meta.probe_type: [linear]
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# meta.mlp_hidden_dim: [512, 1024, 2048]
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# meta.dropout: [0.0, 0.1, 0.3]
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meta.representation_type: [last_avgpool]
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meta.head_type: [linear]
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launch:
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folder: submitit_logs/
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