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.gitattributes CHANGED
@@ -34,3 +34,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
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  *tfevents* filter=lfs diff=lfs merge=lfs -text
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  exp_illustration/attention_vis.png filter=lfs diff=lfs merge=lfs -text
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  pretrained[[:space:]]models/vit_small_800ep/linear_probing_checkpoint.pth.tar filter=lfs diff=lfs merge=lfs -text
 
 
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  *tfevents* filter=lfs diff=lfs merge=lfs -text
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  exp_illustration/attention_vis.png filter=lfs diff=lfs merge=lfs -text
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  pretrained[[:space:]]models/vit_small_800ep/linear_probing_checkpoint.pth.tar filter=lfs diff=lfs merge=lfs -text
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+ pretrained[[:space:]]models/vit_base_400ep/linear_probing_checkpoint.pth.tar filter=lfs diff=lfs merge=lfs -text
pretrained models/vit_base_400ep/args.txt ADDED
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+ #!/bin/bash
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+ DATASET_ROOT=/dataset/imageNet100_sicy/train/ #/raid/common/imagenet-raw/
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+
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+ ## train ViT-base for 400 epochs
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+ OUTPUT_ROOT=./exps/vit_base_400ep
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+ NPROC_PER_NODE=24 # GPU numbers
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+ BATCH_SIZE_PER_GPU=42
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+ DEBUG=false # debug = true, then we only load subset of the whole training dataset
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+ python -m torch.distributed.launch --nproc_per_node=$NPROC_PER_NODE main.py \
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+ --data_path $DATASET_ROOT \
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+ --output_dir $OUTPUT_ROOT \
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+ --arch vit_base \
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+ --instance_queue_size 65536 \
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+ --local_group_queue_size 65536 \
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+ --use_bn_in_head false \
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+ --instance_out_dim 256 \
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+ --instance_temp 0.2 \
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+ --local_group_out_dim 256 \
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+ --local_group_temp 0.2 \
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+ --local_group_knn_top_n 8 \
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+ --group_out_dim 65536 \
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+ --group_student_temp 0.1 \
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+ --group_warmup_teacher_temp 0.04 \
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+ --group_teacher_temp 0.07 \
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+ --group_warmup_teacher_temp_epochs 50 \
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+ --norm_last_layer false \
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+ --norm_before_pred true \
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+ --batch_size_per_gpu $BATCH_SIZE_PER_GPU \
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+ --epochs 400 \
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+ --warmup_epochs 10 \
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+ --clip_grad 3.0 \
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+ --lr 0.0008 \
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+ --min_lr 2e-06 \
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+ --patch_embed_lr_mult 0.2 \
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+ --drop_path_rate 0.1 \
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+ --weight_decay 0.04 \
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+ --weight_decay_end 0.1 \
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+ --freeze_last_layer 3 \
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+ --momentum_teacher 0.996 \
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+ --use_fp16 false \
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+ --local_crops_number 10 \
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+ --size_crops 96 \
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+ --global_crops_scale 0.25 1 \
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+ --local_crops_scale 0.05 0.25 \
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+ --timm_auto_augment_par rand-m9-mstd0.5-inc1 \
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+ --prob 0.5 \
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+ --use_prefetcher true \
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+ --debug $DEBUG
pretrained models/vit_base_400ep/fine_tuning_checkpoint-best.pth ADDED
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+ version https://git-lfs.github.com/spec/v1
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+ oid sha256:170fb530a50b9ecd3b7e194bc3f7d786c54243e0392dbef4a3e39a9856be2be7
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+ size 1038970583
pretrained models/vit_base_400ep/fine_tuning_log.txt ADDED
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388
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389
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390
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391
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392
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393
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394
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395
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396
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397
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398
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399
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400
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