remove mlp + add batch norm + last 4 avg pool layer as in the paper of IJEPA
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@@ -6,9 +6,8 @@ meta:
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patch_size: 14
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crop_size: 224
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use_bfloat16: true
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probe_type: linear
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mlp_hidden_dim:
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dropout: 0.0
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representation_type: last_avgpool
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head_type: linear
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checkpoint_folder: experiment_logs/supervised/
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read_checkpoint: linear_probe-best.pth.tar
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