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arch: convnext_small |
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backend: nccl |
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batch_size_per_gpu: 60 |
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clip_grad: 0.3 |
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data_path: /path/to/imagenet/ |
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dist_url: env:// |
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drop_path_rate: 0.1 |
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epochs: 100 |
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eval_every: 30 |
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freeze_last_layer: 3 |
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gamma: 2.0 |
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global_crops_scale: !!python/tuple |
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- 0.14 |
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- 1.0 |
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local_crops_number: 6 |
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local_crops_scale: !!python/tuple |
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- 0.05 |
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- 0.14 |
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local_rank: 0 |
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lr: 0.001 |
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min_lr: 2.0e-06 |
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mode: simpool |
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momentum_teacher: 0.996 |
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nb_knn: |
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- 10 |
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- 20 |
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- 100 |
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- 200 |
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norm_last_layer: true |
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num_workers: 10 |
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optimizer: adamw |
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out_dim: 65536 |
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output_dir: /path/to/output/ |
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patch_size: 16 |
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saveckp_freq: 20 |
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seed: 0 |
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subset: -1 |
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teacher_temp: 0.07 |
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temperature: 0.07 |
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use_bn_in_head: false |
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use_fp16: false |
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warmup_epochs: 10 |
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warmup_teacher_temp: 0.04 |
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warmup_teacher_temp_epochs: 50 |
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weight_decay: 0.04 |
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weight_decay_end: 0.4 |
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|