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Browse files- .gitattributes +1 -0
- pretrained models/vit_small_800ep/1%_fine_tune_semi_checkpoint_best.pth +3 -0
- pretrained models/vit_small_800ep/1%_fine_tune_semi_log.txt +0 -0
- pretrained models/vit_small_800ep/1%_logistic_regression_semi.log +14 -0
- pretrained models/vit_small_800ep/1%_logistic_regression_semi.zip +3 -0
- pretrained models/vit_small_800ep/10%_fine_tune_semi_checkpoint_best.pth +3 -0
- pretrained models/vit_small_800ep/10%_fine_tune_semi_log.txt +0 -0
- pretrained models/vit_small_800ep/10%_logistic_regression_semi.log +14 -0
- pretrained models/vit_small_800ep/10%_logistic_regression_semi.zip +3 -0
- pretrained models/vit_small_800ep/args.txt +47 -0
- pretrained models/vit_small_800ep/fine_tuning_checkpoint.pth +3 -0
- pretrained models/vit_small_800ep/fine_tuning_log.txt +203 -0
- pretrained models/vit_small_800ep/linear_probing_checkpoint.pth.tar +3 -0
- pretrained models/vit_small_800ep/linear_probing_log.txt +100 -0
- pretrained models/vit_small_800ep/log.txt +0 -0
- pretrained models/vit_small_800ep/vit_small_800ep.pth +3 -0
- pretrained models/vit_small_800ep/vit_small_backbone_800ep.pth +3 -0
.gitattributes
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@@ -33,3 +33,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
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*.zst 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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*.zst 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 models/vit_small_800ep/1%_fine_tune_semi_checkpoint_best.pth
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version https://git-lfs.github.com/spec/v1
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size 392263987
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pretrained models/vit_small_800ep/1%_fine_tune_semi_log.txt
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pretrained models/vit_small_800ep/1%_logistic_regression_semi.log
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INFO:======================================================
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INFO:avgpool_patchtokens = 0
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INFO:multi_scale = 0
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INFO:loading features...
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INFO:Features are ready!
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Start the logistic regression.
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INFO:training data: 12811, test data: 50000
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INFO:Logistic regression result: lambda 0.01, Acc 0.6639
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INFO:Logistic regression result: lambda 0.03, Acc 0.6659
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INFO:Logistic regression result: lambda 0.06, Acc 0.6670
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INFO:Logistic regression result: lambda 0.10, Acc 0.6688
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INFO:Logistic regression result: lambda 0.15, Acc 0.6695
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INFO:Logistic regression result: lambda 0.20, Acc 0.6688
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INFO:Logistic regression result: lambda 0.30, Acc 0.6668
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pretrained models/vit_small_800ep/1%_logistic_regression_semi.zip
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version https://git-lfs.github.com/spec/v1
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size 89567065
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pretrained models/vit_small_800ep/10%_fine_tune_semi_checkpoint_best.pth
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version https://git-lfs.github.com/spec/v1
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size 392263991
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pretrained models/vit_small_800ep/10%_fine_tune_semi_log.txt
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pretrained models/vit_small_800ep/10%_logistic_regression_semi.log
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INFO:======================================================
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INFO:avgpool_patchtokens = 0
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INFO:multi_scale = 0
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INFO:loading features...
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INFO:Features are ready!
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Start the logistic regression.
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INFO:training data: 128115, test data: 50000
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INFO:Logistic regression result: lambda 0.01, Acc 0.7124
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INFO:Logistic regression result: lambda 0.03, Acc 0.7261
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INFO:Logistic regression result: lambda 0.06, Acc 0.7337
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INFO:Logistic regression result: lambda 0.10, Acc 0.7378
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INFO:Logistic regression result: lambda 0.15, Acc 0.7395
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INFO:Logistic regression result: lambda 0.20, Acc 0.7395
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INFO:Logistic regression result: lambda 0.30, Acc 0.7382
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pretrained models/vit_small_800ep/10%_logistic_regression_semi.zip
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version https://git-lfs.github.com/spec/v1
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oid sha256:ed858128030aafadc903d2f9761571e7e3eabe74a04379ac8e9c0d4dd69da747
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size 253964509
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pretrained models/vit_small_800ep/args.txt
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#!/bin/bash
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DATASET_ROOT=/dataset/imageNet100_sicy/train/ #/raid/common/imagenet-raw/
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## train ViT-small for 800 epochs
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NPROC_PER_NODE=16 # GPU numbers
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BATCH_SIZE_PER_GPU=64
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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_small \
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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 30 \
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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 800 \
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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 1e-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 1 \
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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
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pretrained models/vit_small_800ep/fine_tuning_checkpoint.pth
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version https://git-lfs.github.com/spec/v1
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oid sha256:210c5ba56b7442c74100d274c9e51c413bc77eb5b9fdfa4df6ca6f8a719241bb
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size 264766743
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pretrained models/vit_small_800ep/fine_tuning_log.txt
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{"train_lr": 2.9977217314840725e-05, "train_min_lr": 1.2632993704056536e-08, "train_loss": 5.603262532481568, "train_loss_scale": 65536.0, "train_weight_decay": 0.049999999999998865, "train_grad_norm": 2.722763790786981, "test_loss": 1.69426304602441, "test_acc1": 68.6300018359375, "test_acc5": 90.22800263671876, "epoch": 0, "n_parameters": 22050664}
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{"train_lr": 8.997961549222588e-05, "train_min_lr": 3.7919193902096106e-08, "train_loss": 4.027685547332398, "train_loss_scale": 65902.70823341327, "train_weight_decay": 0.049999999999998865, "train_grad_norm": Infinity, "test_loss": 1.1822310836260554, "test_acc1": 74.59600241210937, "test_acc5": 93.05400232421874, "epoch": 1, "n_parameters": 22050664}
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{"train_lr": 0.00014998201366961113, "train_min_lr": 6.320539410013567e-08, "train_loss": 3.835417651920486, "train_loss_scale": 65536.0, "train_weight_decay": 0.049999999999998865, "train_grad_norm": 5.714154615867243, "test_loss": 1.086495587843975, "test_acc1": 75.90000249023437, "test_acc5": 93.674002734375, "epoch": 2, "n_parameters": 22050664}
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{"train_lr": 0.00020998441184699623, "train_min_lr": 8.849159429817523e-08, "train_loss": 3.7547842764930666, "train_loss_scale": 38006.68904876099, "train_weight_decay": 0.049999999999998865, "train_grad_norm": Infinity, "test_loss": 1.0365260257065751, "test_acc1": 76.6580021484375, "test_acc5": 93.99400263671875, "epoch": 3, "n_parameters": 22050664}
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{"train_lr": 0.00026998681002438155, "train_min_lr": 1.1377779449621479e-07, "train_loss": 3.686702872685296, "train_loss_scale": 40678.420463629096, "train_weight_decay": 0.049999999999998865, "train_grad_norm": 6.13770672343046, "test_loss": 1.0188552564337054, "test_acc1": 77.14200270507813, "test_acc5": 94.272002890625, "epoch": 4, "n_parameters": 22050664}
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{"train_lr": 0.00032998920820176663, "train_min_lr": 1.3906399469425437e-07, "train_loss": 3.6525438100123386, "train_loss_scale": 49610.385291766586, "train_weight_decay": 0.049999999999998865, "train_grad_norm": Infinity, "test_loss": 1.0008231160294918, "test_acc1": 77.44000240234375, "test_acc5": 94.31800263671875, "epoch": 5, "n_parameters": 22050664}
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{"train_lr": 0.00038999160637915177, "train_min_lr": 1.6435019489229392e-07, "train_loss": 3.6161093925305314, "train_loss_scale": 32768.0, "train_weight_decay": 0.049999999999998865, "train_grad_norm": 6.363529770970821, "test_loss": 0.9950099191592849, "test_acc1": 77.68000247070313, "test_acc5": 94.33600220703126, "epoch": 6, "n_parameters": 22050664}
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{"train_lr": 0.0004499940045565371, "train_min_lr": 1.896363950903335e-07, "train_loss": 3.5744851427398427, "train_loss_scale": 61842.7242206235, "train_weight_decay": 0.049999999999998865, "train_grad_norm": 6.4471772824355265, "test_loss": 0.9745688497565175, "test_acc1": 77.83000258789062, "test_acc5": 94.40000263671875, "epoch": 7, "n_parameters": 22050664}
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{"train_lr": 0.0005099964027339221, "train_min_lr": 2.1492259528837304e-07, "train_loss": 3.5608610644710246, "train_loss_scale": 52936.95283772982, "train_weight_decay": 0.049999999999998865, "train_grad_norm": Infinity, "test_loss": 0.9392552370105991, "test_acc1": 77.89000266601562, "test_acc5": 94.6540028125, "epoch": 8, "n_parameters": 22050664}
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| 10 |
+
{"train_lr": 0.0005699988009113075, "train_min_lr": 2.4020879548641256e-07, "train_loss": 3.5521272373714035, "train_loss_scale": 32768.0, "train_weight_decay": 0.049999999999998865, "train_grad_norm": 6.548601883111431, "test_loss": 0.9393050278188618, "test_acc1": 77.73400247070313, "test_acc5": 94.65400236328125, "epoch": 9, "n_parameters": 22050664}
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{"train_lr": 0.0006283367774273784, "train_loss": 1.1135167015222505, "epoch": 92, "test_loss": 0.8286565388647877, "test_acc1": 78.81, "test_acc5": 94.014}
|
| 94 |
+
{"train_lr": 0.0004816647612250554, "train_loss": 1.1136287877711053, "epoch": 93, "test_loss": 0.8278967168334187, "test_acc1": 78.802, "test_acc5": 94.022}
|
| 95 |
+
{"train_lr": 0.000354254985426235, "train_loss": 1.1106700731423527, "epoch": 94, "test_loss": 0.8271201193256645, "test_acc1": 78.852, "test_acc5": 94.04}
|
| 96 |
+
{"train_lr": 0.0002462331880972449, "train_loss": 1.1096463033590263, "epoch": 95, "test_loss": 0.8274339372482227, "test_acc1": 78.796, "test_acc5": 94.038}
|
| 97 |
+
{"train_lr": 0.0001577059737104466, "train_loss": 1.10907505068202, "epoch": 96, "test_loss": 0.8272342941514692, "test_acc1": 78.822, "test_acc5": 94.032}
|
| 98 |
+
{"train_lr": 8.876070793839875e-05, "train_loss": 1.1097301646543387, "epoch": 97, "test_loss": 0.8274692274934176, "test_acc1": 78.822, "test_acc5": 94.03}
|
| 99 |
+
{"train_lr": 3.946543143456929e-05, "train_loss": 1.109091356634713, "epoch": 98, "test_loss": 0.8273094764397461, "test_acc1": 78.828, "test_acc5": 94.03}
|
| 100 |
+
{"train_lr": 9.868792685368279e-06, "train_loss": 1.109760883600472, "epoch": 99, "test_loss": 0.8273151449631063, "test_acc1": 78.83, "test_acc5": 94.032}
|
pretrained models/vit_small_800ep/log.txt
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pretrained models/vit_small_800ep/vit_small_800ep.pth
ADDED
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| 1 |
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version https://git-lfs.github.com/spec/v1
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| 2 |
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oid sha256:94e68f4ee7ac54bb68b69371bc98226fdebfbee73b333885c26599d852730d38
|
| 3 |
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size 1697879351
|
pretrained models/vit_small_800ep/vit_small_backbone_800ep.pth
ADDED
|
@@ -0,0 +1,3 @@
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| 1 |
+
version https://git-lfs.github.com/spec/v1
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| 2 |
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oid sha256:c4c4412e12f94791d2836f7f5d0d5e08cdf1b9f7a0501dc84489eb1fd3477b22
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| 3 |
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size 93810389
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