From 59fc5d686c451369dcb36dc21bfe3d66d9971c88 Mon Sep 17 00:00:00 2001 From: Nicolas Kaenzig Date: Thu, 17 Oct 2024 16:31:24 +0200 Subject: [PATCH 1/8] change SDG to AdamW, batchsize to 256 for patch classification --- configs/core/tests/offline/embeddings.yaml | 6 ++---- configs/vision/pathology/offline/classification/bach.yaml | 6 ++---- configs/vision/pathology/offline/classification/crc.yaml | 8 +++----- .../vision/pathology/offline/classification/mhist.yaml | 6 ++---- .../pathology/offline/classification/patch_camelyon.yaml | 8 +++----- configs/vision/pathology/online/classification/bach.yaml | 6 ++---- configs/vision/pathology/online/classification/crc.yaml | 8 +++----- configs/vision/pathology/online/classification/mhist.yaml | 6 ++---- .../pathology/online/classification/patch_camelyon.yaml | 8 +++----- configs/vision/tests/offline/panda.yaml | 6 ++---- configs/vision/tests/offline/patch_camelyon.yaml | 6 ++---- configs/vision/tests/online/patch_camelyon.yaml | 6 ++---- 12 files changed, 28 insertions(+), 52 deletions(-) diff --git a/configs/core/tests/offline/embeddings.yaml b/configs/core/tests/offline/embeddings.yaml index f845fe005..5c11cd2ab 100644 --- a/configs/core/tests/offline/embeddings.yaml +++ b/configs/core/tests/offline/embeddings.yaml @@ -26,11 +26,9 @@ model: out_features: &NUM_CLASSES 2 criterion: torch.nn.CrossEntropyLoss optimizer: - class_path: torch.optim.SGD + class_path: torch.optim.AdamW init_args: - lr: ${oc.env:LR_VALUE, 0.1} - momentum: 0.9 - weight_decay: 0.0 + lr: ${oc.env:LR_VALUE, 0.0003} lr_scheduler: class_path: torch.optim.lr_scheduler.CosineAnnealingLR init_args: diff --git a/configs/vision/pathology/offline/classification/bach.yaml b/configs/vision/pathology/offline/classification/bach.yaml index d4b17ece7..bf9494ba5 100644 --- a/configs/vision/pathology/offline/classification/bach.yaml +++ b/configs/vision/pathology/offline/classification/bach.yaml @@ -53,11 +53,9 @@ model: out_features: &NUM_CLASSES 4 criterion: torch.nn.CrossEntropyLoss optimizer: - class_path: torch.optim.SGD + class_path: torch.optim.AdamW init_args: - lr: &LR_VALUE ${oc.env:LR_VALUE, 0.000625} - momentum: 0.9 - weight_decay: 0.0 + lr: ${oc.env:LR_VALUE, 0.0003} lr_scheduler: class_path: torch.optim.lr_scheduler.CosineAnnealingLR init_args: diff --git a/configs/vision/pathology/offline/classification/crc.yaml b/configs/vision/pathology/offline/classification/crc.yaml index bc458a70a..feca261e2 100644 --- a/configs/vision/pathology/offline/classification/crc.yaml +++ b/configs/vision/pathology/offline/classification/crc.yaml @@ -53,11 +53,9 @@ model: out_features: &NUM_CLASSES 9 criterion: torch.nn.CrossEntropyLoss optimizer: - class_path: torch.optim.SGD + class_path: torch.optim.AdamW init_args: - lr: &LR_VALUE ${oc.env:LR_VALUE, 0.01} - momentum: 0.9 - weight_decay: 0.0 + lr: ${oc.env:LR_VALUE, 0.0003} lr_scheduler: class_path: torch.optim.lr_scheduler.CosineAnnealingLR init_args: @@ -104,7 +102,7 @@ data: split: val dataloaders: train: - batch_size: &BATCH_SIZE ${oc.env:BATCH_SIZE, 4096} + batch_size: &BATCH_SIZE ${oc.env:BATCH_SIZE, 256} num_workers: &N_DATA_WORKERS ${oc.env:N_DATA_WORKERS, 4} shuffle: true val: diff --git a/configs/vision/pathology/offline/classification/mhist.yaml b/configs/vision/pathology/offline/classification/mhist.yaml index 8f423c47e..38cd6292e 100644 --- a/configs/vision/pathology/offline/classification/mhist.yaml +++ b/configs/vision/pathology/offline/classification/mhist.yaml @@ -53,11 +53,9 @@ model: out_features: 1 criterion: torch.nn.BCEWithLogitsLoss optimizer: - class_path: torch.optim.SGD + class_path: torch.optim.AdamW init_args: - lr: &LR_VALUE ${oc.env:LR_VALUE, 0.000625} - momentum: 0.9 - weight_decay: 0.0 + lr: ${oc.env:LR_VALUE, 0.0003} lr_scheduler: class_path: torch.optim.lr_scheduler.CosineAnnealingLR init_args: diff --git a/configs/vision/pathology/offline/classification/patch_camelyon.yaml b/configs/vision/pathology/offline/classification/patch_camelyon.yaml index 4bce666db..7af0462e6 100644 --- a/configs/vision/pathology/offline/classification/patch_camelyon.yaml +++ b/configs/vision/pathology/offline/classification/patch_camelyon.yaml @@ -54,11 +54,9 @@ model: out_features: 1 criterion: torch.nn.BCEWithLogitsLoss optimizer: - class_path: torch.optim.SGD + class_path: torch.optim.AdamW init_args: - lr: &LR_VALUE ${oc.env:LR_VALUE, 0.01} - momentum: 0.9 - weight_decay: 0.0 + lr: ${oc.env:LR_VALUE, 0.0003} lr_scheduler: class_path: torch.optim.lr_scheduler.CosineAnnealingLR init_args: @@ -118,7 +116,7 @@ data: split: test dataloaders: train: - batch_size: &BATCH_SIZE ${oc.env:BATCH_SIZE, 4096} + batch_size: &BATCH_SIZE ${oc.env:BATCH_SIZE, 256} num_workers: &N_DATA_WORKERS ${oc.env:N_DATA_WORKERS, 4} shuffle: true val: diff --git a/configs/vision/pathology/online/classification/bach.yaml b/configs/vision/pathology/online/classification/bach.yaml index 60e8b6aea..1719d821e 100644 --- a/configs/vision/pathology/online/classification/bach.yaml +++ b/configs/vision/pathology/online/classification/bach.yaml @@ -45,11 +45,9 @@ model: out_features: &NUM_CLASSES 4 criterion: torch.nn.CrossEntropyLoss optimizer: - class_path: torch.optim.SGD + class_path: torch.optim.AdamW init_args: - lr: &LR_VALUE ${oc.env:LR_VALUE, 0.000625} - momentum: 0.9 - weight_decay: 0.0 + lr: ${oc.env:LR_VALUE, 0.0003} lr_scheduler: class_path: torch.optim.lr_scheduler.CosineAnnealingLR init_args: diff --git a/configs/vision/pathology/online/classification/crc.yaml b/configs/vision/pathology/online/classification/crc.yaml index cdf743d51..5abe659e0 100644 --- a/configs/vision/pathology/online/classification/crc.yaml +++ b/configs/vision/pathology/online/classification/crc.yaml @@ -45,11 +45,9 @@ model: out_features: &NUM_CLASSES 9 criterion: torch.nn.CrossEntropyLoss optimizer: - class_path: torch.optim.SGD + class_path: torch.optim.AdamW init_args: - lr: &LR_VALUE ${oc.env:LR_VALUE, 0.01} - momentum: 0.9 - weight_decay: 0.0 + lr: ${oc.env:LR_VALUE, 0.0003} lr_scheduler: class_path: torch.optim.lr_scheduler.CosineAnnealingLR init_args: @@ -86,7 +84,7 @@ data: split: val dataloaders: train: - batch_size: &BATCH_SIZE ${oc.env:BATCH_SIZE, 4096} + batch_size: &BATCH_SIZE ${oc.env:BATCH_SIZE, 256} num_workers: &N_DATA_WORKERS ${oc.env:N_DATA_WORKERS, 4} shuffle: true val: diff --git a/configs/vision/pathology/online/classification/mhist.yaml b/configs/vision/pathology/online/classification/mhist.yaml index 4c87db98b..1f42064fd 100644 --- a/configs/vision/pathology/online/classification/mhist.yaml +++ b/configs/vision/pathology/online/classification/mhist.yaml @@ -45,11 +45,9 @@ model: out_features: 1 criterion: torch.nn.BCEWithLogitsLoss optimizer: - class_path: torch.optim.SGD + class_path: torch.optim.AdamW init_args: - lr: &LR_VALUE ${oc.env:LR_VALUE, 0.000625} - momentum: 0.9 - weight_decay: 0.0 + lr: ${oc.env:LR_VALUE, 0.0003} lr_scheduler: class_path: torch.optim.lr_scheduler.CosineAnnealingLR init_args: diff --git a/configs/vision/pathology/online/classification/patch_camelyon.yaml b/configs/vision/pathology/online/classification/patch_camelyon.yaml index 95c3bb437..a0d2d8d5e 100644 --- a/configs/vision/pathology/online/classification/patch_camelyon.yaml +++ b/configs/vision/pathology/online/classification/patch_camelyon.yaml @@ -45,11 +45,9 @@ model: out_features: 1 criterion: torch.nn.BCEWithLogitsLoss optimizer: - class_path: torch.optim.SGD + class_path: torch.optim.AdamW init_args: - lr: &LR_VALUE ${oc.env:LR_VALUE, 0.01} - momentum: 0.9 - weight_decay: 0.0 + lr: ${oc.env:LR_VALUE, 0.0003} lr_scheduler: class_path: torch.optim.lr_scheduler.CosineAnnealingLR init_args: @@ -91,7 +89,7 @@ data: split: test dataloaders: train: - batch_size: &BATCH_SIZE ${oc.env:BATCH_SIZE, 4096} + batch_size: &BATCH_SIZE ${oc.env:BATCH_SIZE, 256} num_workers: &N_DATA_WORKERS ${oc.env:N_DATA_WORKERS, 4} shuffle: true val: diff --git a/configs/vision/tests/offline/panda.yaml b/configs/vision/tests/offline/panda.yaml index 28844dd1e..4051b4edf 100644 --- a/configs/vision/tests/offline/panda.yaml +++ b/configs/vision/tests/offline/panda.yaml @@ -34,11 +34,9 @@ model: output_size: &NUM_CLASSES 6 criterion: torch.nn.CrossEntropyLoss optimizer: - class_path: torch.optim.SGD + class_path: torch.optim.AdamW init_args: - lr: &LR_VALUE ${oc.env:LR_VALUE, 0.00004} - momentum: 0.9 - weight_decay: 0.0 + lr: ${oc.env:LR_VALUE, 0.0003} lr_scheduler: class_path: torch.optim.lr_scheduler.CosineAnnealingLR init_args: diff --git a/configs/vision/tests/offline/patch_camelyon.yaml b/configs/vision/tests/offline/patch_camelyon.yaml index 64c503bf7..e09a44c6b 100644 --- a/configs/vision/tests/offline/patch_camelyon.yaml +++ b/configs/vision/tests/offline/patch_camelyon.yaml @@ -47,11 +47,9 @@ model: out_features: 1 criterion: torch.nn.BCEWithLogitsLoss optimizer: - class_path: torch.optim.SGD + class_path: torch.optim.AdamW init_args: - lr: ${oc.env:LR_VALUE, 0.1} - momentum: 0.9 - weight_decay: 0.0 + lr: ${oc.env:LR_VALUE, 0.0003} lr_scheduler: class_path: torch.optim.lr_scheduler.CosineAnnealingLR init_args: diff --git a/configs/vision/tests/online/patch_camelyon.yaml b/configs/vision/tests/online/patch_camelyon.yaml index 14420dc5b..4b8709415 100644 --- a/configs/vision/tests/online/patch_camelyon.yaml +++ b/configs/vision/tests/online/patch_camelyon.yaml @@ -18,11 +18,9 @@ model: out_features: 1 criterion: torch.nn.BCEWithLogitsLoss optimizer: - class_path: torch.optim.SGD + class_path: torch.optim.AdamW init_args: - lr: ${oc.env:LR_VALUE, 0.1} - momentum: 0.9 - weight_decay: 0.0 + lr: ${oc.env:LR_VALUE, 0.0003} lr_scheduler: class_path: torch.optim.lr_scheduler.CosineAnnealingLR init_args: From d41bbca0f313fa49d312c21619aa7b31d6b3feb5 Mon Sep 17 00:00:00 2001 From: Nicolas Kaenzig Date: Thu, 17 Oct 2024 17:04:13 +0200 Subject: [PATCH 2/8] replaced early stopping criteria --- .../vision/pathology/offline/classification/camelyon16.yaml | 2 +- .../pathology/offline/classification/camelyon16_small.yaml | 2 +- configs/vision/pathology/offline/classification/mhist.yaml | 4 ++-- .../pathology/offline/classification/patch_camelyon.yaml | 2 +- configs/vision/pathology/online/classification/mhist.yaml | 4 ++-- .../pathology/online/classification/patch_camelyon.yaml | 2 +- 6 files changed, 8 insertions(+), 8 deletions(-) diff --git a/configs/vision/pathology/offline/classification/camelyon16.yaml b/configs/vision/pathology/offline/classification/camelyon16.yaml index 0edbcfa78..737bf537c 100644 --- a/configs/vision/pathology/offline/classification/camelyon16.yaml +++ b/configs/vision/pathology/offline/classification/camelyon16.yaml @@ -18,7 +18,7 @@ trainer: filename: best save_last: true save_top_k: 1 - monitor: &MONITOR_METRIC ${oc.env:MONITOR_METRIC, val/BinaryAccuracy} + monitor: &MONITOR_METRIC ${oc.env:MONITOR_METRIC, val/BinaryBalancedAccuracy} mode: &MONITOR_METRIC_MODE ${oc.env:MONITOR_METRIC_MODE, max} - class_path: lightning.pytorch.callbacks.EarlyStopping init_args: diff --git a/configs/vision/pathology/offline/classification/camelyon16_small.yaml b/configs/vision/pathology/offline/classification/camelyon16_small.yaml index 994293257..98659b396 100644 --- a/configs/vision/pathology/offline/classification/camelyon16_small.yaml +++ b/configs/vision/pathology/offline/classification/camelyon16_small.yaml @@ -18,7 +18,7 @@ trainer: filename: best save_last: true save_top_k: 1 - monitor: &MONITOR_METRIC ${oc.env:MONITOR_METRIC, val/BinaryAccuracy} + monitor: &MONITOR_METRIC ${oc.env:MONITOR_METRIC, val/BinaryBalancedAccuracy} mode: &MONITOR_METRIC_MODE ${oc.env:MONITOR_METRIC_MODE, max} - class_path: lightning.pytorch.callbacks.EarlyStopping init_args: diff --git a/configs/vision/pathology/offline/classification/mhist.yaml b/configs/vision/pathology/offline/classification/mhist.yaml index 38cd6292e..67c080cbd 100644 --- a/configs/vision/pathology/offline/classification/mhist.yaml +++ b/configs/vision/pathology/offline/classification/mhist.yaml @@ -18,8 +18,8 @@ trainer: filename: best save_last: true save_top_k: 1 - monitor: &MONITOR_METRIC ${oc.env:MONITOR_METRIC, val/BinaryAccuracy} - mode: &MONITOR_METRIC_MODE ${oc.env:MONITOR_METRIC_MODE, max} + monitor: &MONITOR_METRIC ${oc.env:MONITOR_METRIC, val/AverageLoss} + mode: &MONITOR_METRIC_MODE ${oc.env:MONITOR_METRIC_MODE, min} - class_path: lightning.pytorch.callbacks.EarlyStopping init_args: min_delta: 0 diff --git a/configs/vision/pathology/offline/classification/patch_camelyon.yaml b/configs/vision/pathology/offline/classification/patch_camelyon.yaml index 7af0462e6..fc8450e79 100644 --- a/configs/vision/pathology/offline/classification/patch_camelyon.yaml +++ b/configs/vision/pathology/offline/classification/patch_camelyon.yaml @@ -18,7 +18,7 @@ trainer: filename: best save_last: true save_top_k: 1 - monitor: &MONITOR_METRIC ${oc.env:MONITOR_METRIC, val/BinaryAccuracy} + monitor: &MONITOR_METRIC ${oc.env:MONITOR_METRIC, val/BinaryBalancedAccuracy} mode: &MONITOR_METRIC_MODE ${oc.env:MONITOR_METRIC_MODE, max} - class_path: lightning.pytorch.callbacks.EarlyStopping init_args: diff --git a/configs/vision/pathology/online/classification/mhist.yaml b/configs/vision/pathology/online/classification/mhist.yaml index 1f42064fd..639124f45 100644 --- a/configs/vision/pathology/online/classification/mhist.yaml +++ b/configs/vision/pathology/online/classification/mhist.yaml @@ -17,8 +17,8 @@ trainer: filename: best save_last: true save_top_k: 1 - monitor: &MONITOR_METRIC ${oc.env:MONITOR_METRIC, val/BinaryAccuracy} - mode: &MONITOR_METRIC_MODE ${oc.env:MONITOR_METRIC_MODE, max} + monitor: &MONITOR_METRIC ${oc.env:MONITOR_METRIC, val/AverageLoss} + mode: &MONITOR_METRIC_MODE ${oc.env:MONITOR_METRIC_MODE, min} - class_path: lightning.pytorch.callbacks.EarlyStopping init_args: min_delta: 0 diff --git a/configs/vision/pathology/online/classification/patch_camelyon.yaml b/configs/vision/pathology/online/classification/patch_camelyon.yaml index a0d2d8d5e..13817a718 100644 --- a/configs/vision/pathology/online/classification/patch_camelyon.yaml +++ b/configs/vision/pathology/online/classification/patch_camelyon.yaml @@ -17,7 +17,7 @@ trainer: filename: best save_last: true save_top_k: 1 - monitor: &MONITOR_METRIC ${oc.env:MONITOR_METRIC, val/BinaryAccuracy} + monitor: &MONITOR_METRIC ${oc.env:MONITOR_METRIC, val/BinaryBalancedAccuracy} mode: &MONITOR_METRIC_MODE ${oc.env:MONITOR_METRIC_MODE, max} - class_path: lightning.pytorch.callbacks.EarlyStopping init_args: From f2098972e7983bd0ba48e715c031ffa47428bb3d Mon Sep 17 00:00:00 2001 From: Nicolas Kaenzig Date: Thu, 17 Oct 2024 17:04:56 +0200 Subject: [PATCH 3/8] increased patience for mhist to 100 --- configs/vision/pathology/offline/classification/mhist.yaml | 2 +- configs/vision/pathology/online/classification/mhist.yaml | 2 +- 2 files changed, 2 insertions(+), 2 deletions(-) diff --git a/configs/vision/pathology/offline/classification/mhist.yaml b/configs/vision/pathology/offline/classification/mhist.yaml index 67c080cbd..8f1fd3c79 100644 --- a/configs/vision/pathology/offline/classification/mhist.yaml +++ b/configs/vision/pathology/offline/classification/mhist.yaml @@ -23,7 +23,7 @@ trainer: - class_path: lightning.pytorch.callbacks.EarlyStopping init_args: min_delta: 0 - patience: 51 + patience: 100 monitor: *MONITOR_METRIC mode: *MONITOR_METRIC_MODE - class_path: eva.callbacks.ClassificationEmbeddingsWriter diff --git a/configs/vision/pathology/online/classification/mhist.yaml b/configs/vision/pathology/online/classification/mhist.yaml index 639124f45..73e949cfe 100644 --- a/configs/vision/pathology/online/classification/mhist.yaml +++ b/configs/vision/pathology/online/classification/mhist.yaml @@ -22,7 +22,7 @@ trainer: - class_path: lightning.pytorch.callbacks.EarlyStopping init_args: min_delta: 0 - patience: 51 + patience: 100 monitor: *MONITOR_METRIC mode: *MONITOR_METRIC_MODE logger: From 5c482177dbe4e25abebfdf503ecf4be75973b2fa Mon Sep 17 00:00:00 2001 From: Nicolas Kaenzig Date: Fri, 18 Oct 2024 10:21:11 +0200 Subject: [PATCH 4/8] changed early stopping criteria --- configs/vision/pathology/offline/classification/mhist.yaml | 4 ++-- configs/vision/pathology/online/classification/mhist.yaml | 4 ++-- 2 files changed, 4 insertions(+), 4 deletions(-) diff --git a/configs/vision/pathology/offline/classification/mhist.yaml b/configs/vision/pathology/offline/classification/mhist.yaml index 8f1fd3c79..59c04bc20 100644 --- a/configs/vision/pathology/offline/classification/mhist.yaml +++ b/configs/vision/pathology/offline/classification/mhist.yaml @@ -18,8 +18,8 @@ trainer: filename: best save_last: true save_top_k: 1 - monitor: &MONITOR_METRIC ${oc.env:MONITOR_METRIC, val/AverageLoss} - mode: &MONITOR_METRIC_MODE ${oc.env:MONITOR_METRIC_MODE, min} + monitor: &MONITOR_METRIC ${oc.env:MONITOR_METRIC, val/BinaryBalancedAccuracy} + mode: &MONITOR_METRIC_MODE ${oc.env:MONITOR_METRIC_MODE, max} - class_path: lightning.pytorch.callbacks.EarlyStopping init_args: min_delta: 0 diff --git a/configs/vision/pathology/online/classification/mhist.yaml b/configs/vision/pathology/online/classification/mhist.yaml index 73e949cfe..868c8e55f 100644 --- a/configs/vision/pathology/online/classification/mhist.yaml +++ b/configs/vision/pathology/online/classification/mhist.yaml @@ -17,8 +17,8 @@ trainer: filename: best save_last: true save_top_k: 1 - monitor: &MONITOR_METRIC ${oc.env:MONITOR_METRIC, val/AverageLoss} - mode: &MONITOR_METRIC_MODE ${oc.env:MONITOR_METRIC_MODE, min} + monitor: &MONITOR_METRIC ${oc.env:MONITOR_METRIC, val/BinaryBalancedAccuracy} + mode: &MONITOR_METRIC_MODE ${oc.env:MONITOR_METRIC_MODE, max} - class_path: lightning.pytorch.callbacks.EarlyStopping init_args: min_delta: 0 From 382d1fcb23c3c24e28111e62b2c206058aeb21c7 Mon Sep 17 00:00:00 2001 From: Nicolas Kaenzig Date: Fri, 18 Oct 2024 10:25:40 +0200 Subject: [PATCH 5/8] update patience for mhist to follow protocol --- configs/vision/pathology/offline/classification/mhist.yaml | 2 +- configs/vision/pathology/online/classification/mhist.yaml | 2 +- 2 files changed, 2 insertions(+), 2 deletions(-) diff --git a/configs/vision/pathology/offline/classification/mhist.yaml b/configs/vision/pathology/offline/classification/mhist.yaml index 59c04bc20..f96c1f151 100644 --- a/configs/vision/pathology/offline/classification/mhist.yaml +++ b/configs/vision/pathology/offline/classification/mhist.yaml @@ -23,7 +23,7 @@ trainer: - class_path: lightning.pytorch.callbacks.EarlyStopping init_args: min_delta: 0 - patience: 100 + patience: 70 monitor: *MONITOR_METRIC mode: *MONITOR_METRIC_MODE - class_path: eva.callbacks.ClassificationEmbeddingsWriter diff --git a/configs/vision/pathology/online/classification/mhist.yaml b/configs/vision/pathology/online/classification/mhist.yaml index 868c8e55f..25dcbc509 100644 --- a/configs/vision/pathology/online/classification/mhist.yaml +++ b/configs/vision/pathology/online/classification/mhist.yaml @@ -22,7 +22,7 @@ trainer: - class_path: lightning.pytorch.callbacks.EarlyStopping init_args: min_delta: 0 - patience: 100 + patience: 70 monitor: *MONITOR_METRIC mode: *MONITOR_METRIC_MODE logger: From a62716243261dce9e83f5161c4e81deb635f6687 Mon Sep 17 00:00:00 2001 From: Nicolas Kaenzig Date: Fri, 18 Oct 2024 14:12:48 +0200 Subject: [PATCH 6/8] updated docs --- docs/leaderboards.md | 18 ++++++++---------- 1 file changed, 8 insertions(+), 10 deletions(-) diff --git a/docs/leaderboards.md b/docs/leaderboards.md index e2aaba2ad..fa84178d2 100644 --- a/docs/leaderboards.md +++ b/docs/leaderboards.md @@ -38,26 +38,24 @@ We selected this approach to prioritize reliable, robust and fair FM-evaluation | **Dropout** | 0.0 | 0.0 | 0.0 | | **Hidden activation function** | n/a | ReLU | n/a | | **Output activation function** | none | none | none | -| **Number of steps** | 12,500 | 12,500 (2) | 2,000 | -| **Base batch size** | 4,096 (1) | 32 | 64 | -| **Base learning rate** | 0.01 (1) | 0.001 | 0.0001 | -| **Early stopping** | 5% * [Max epochs] | 10% * [Max epochs] (3) | 10% * [Max epochs] (3) | +| **Number of steps** | 12,500 | 12,500 (1) | 2,000 | +| **Base batch size** | 256 | 32 | 64 | +| **Base learning rate** | 0.0003 | 0.001 | 0.0001 | +| **Early stopping** | 5% * [Max epochs] | 10% * [Max epochs] (2) | 10% * [Max epochs] (2) | | **Optimizer** | SGD | AdamW | AdamW | | **Momentum** | 0.9 | n/a | n/a | | **Weight Decay** | 0.0 | n/a | n/a | | **betas** | n/a | [0.9, 0.999] | [0.9, 0.999] | | **LR Schedule** | Cosine without warmup | Cosine without warmup | PolynomialLR | | **Loss** | Cross entropy | Cross entropy | Dice | -| **number of patches per slide**| 1 | dataset specific (4) | dataset specific (4) | +| **number of patches per slide**| 1 | dataset specific (3) | dataset specific (3) | -(1) For smaller datasets (e.g. BACH with 400 samples) we reduce the batch size to 256 and scale the learning rate accordingly. +(1) Upper cap at a maximum of 100 epochs. -(2) Upper cap at a maximum of 100 epochs. +(2) Lower cap at a minimum of 8 epochs. -(3) Lower cap at a minimum of 8 epochs. - -(4) Number of patches per slide depends on task and slide size. E.g. for PANDA and Camelyon16 we use a max of 1,000 and 10,000 random patches per slide respectively. +(3) Number of patches per slide depends on task and slide size. E.g. for `PANDASmall` and `Camelyon16Small` we use a max of 200 and 1000 random patches per slide respectively. - [1]: [Virchow: A Million-Slide Digital Pathology Foundation Model, 2024](https://arxiv.org/pdf/2309.07778.pdf) From fea4b738a2195ae26e39d73758385fdc23c41d81 Mon Sep 17 00:00:00 2001 From: Nicolas Kaenzig Date: Fri, 18 Oct 2024 15:48:55 +0200 Subject: [PATCH 7/8] update leaderboard & plots --- docs/images/leaderboard.svg | 622 ++++++++++++++++++------------------ docs/images/starplot.png | Bin 314753 -> 315707 bytes tools/data/leaderboard.csv | 22 +- 3 files changed, 321 insertions(+), 323 deletions(-) diff --git a/docs/images/leaderboard.svg b/docs/images/leaderboard.svg index 46da272c4..2031c979a 100644 --- a/docs/images/leaderboard.svg +++ b/docs/images/leaderboard.svg @@ -6,7 +6,7 @@ - 2024-10-11T17:12:02.777458 + 2024-10-18T15:48:36.884888 image/svg+xml @@ -43,529 +43,529 @@ L 297.171875 44.961439 L 297.171875 70.161439 L 241.371875 70.161439 L 241.371875 44.961439 -" 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z59*4bf-$Kfpamjvf7p{J9r!}S=(mYP&TRtlfk0jg={;pOm2?dSc?+f*$VHGNiSX?7 zD>$fZF)QIn)L4NZXy}G{d-fkA5R$&){V(|Lh@(jOwgXL}GyluA{GGjd^Qrg)>5Za{ zPHo*b=kd|bhc*ANazSeGId5VIC}no?z5p284;7a+gi*PGMU+9I`mRedT@&dxSaJ2o zCXvU%x&xyfS*@IL9~28(9U$s^%j15?ck6ys6Ou;$d%BHMY_JTHG>q82ojY|<`zfUx z{;+tc0>7)N(SrLV7e$bS`WR;17a*Dl!h}+=BVzh*=R*0Q3ke7zb{bm!0f+#M`}&2# zbvI$?k-(fS{LKh&q%Z(I;U{k92g36SXiI>;!n!&Z0t*UMWr#tjf8N`AWi9jkxpT$% zBl-B*d{XLvL6xhkE7*qtG_)PYA>FW0_)la|7qmh&`}>n?{{Q#`u^4}Uo{=Wuzn?C7 q9FPBgGRQ0a{mC`||Nd8MCOA%Up8F{;K4*lUg1KL1U+f;efBp|IeQt69 diff --git a/tools/data/leaderboard.csv b/tools/data/leaderboard.csv index c78416df5..f30a3a33d 100644 --- a/tools/data/leaderboard.csv +++ b/tools/data/leaderboard.csv @@ -1,12 +1,12 @@ bach,crc,mhist,patch_camelyon,camelyon16_small,panda_small,consep,monusac,model -0.77,0.936,0.751,0.905,0.767,0.625,0.63,0.537,dino_vits16_lunit -0.715,0.942,0.766,0.925,0.797,0.64,0.68,0.54,owkin_phikon -0.797,0.95,0.835,0.939,0.834,0.656,0.662,0.554,dino_vitl16_uni -0.767,0.951,0.836,0.942,0.82,0.645,0.69,0.588,bioptimus_h_optimus_0 -0.758,0.953,0.814,0.948,0.814,0.664,0.661,0.558,prov_gigapath -0.81,0.934,0.823,0.949,0.832,0.633,0.69,0.586,histai_hibou_l -0.8,0.949,0.831,0.902,0.789,0.618,0.611,0.549,dino_vits16_kaiko -0.825,0.948,0.826,0.887,0.814,0.654,0.688,0.599,dino_vits8_kaiko -0.846,0.959,0.839,0.906,0.816,0.621,0.636,0.551,dino_vitb16_kaiko -0.867,0.952,0.814,0.921,0.818,0.638,0.703,0.641,dino_vitb8_kaiko -0.862,0.935,0.822,0.907,0.812,0.65,0.679,0.59,dino_vitl14_kaiko +0.783,0.94,0.773,0.901,0.767,0.625,0.63,0.537,dino_vits16_lunit +0.722,0.936,0.799,0.922,0.797,0.64,0.68,0.54,owkin_phikon +0.797,0.947,0.844,0.936,0.834,0.656,0.662,0.554,dino_vitl16_uni +0.758,0.958,0.839,0.942,0.82,0.645,0.69,0.588,bioptimus_h_optimus_0 +0.761,0.952,0.829,0.945,0.814,0.664,0.661,0.558,prov_gigapath +0.816,0.931,0.826,0.951,0.832,0.633,0.69,0.586,histai_hibou_l +0.802,0.938,0.829,0.904,0.789,0.618,0.611,0.549,dino_vits16_kaiko +0.829,0.952,0.814,0.885,0.814,0.654,0.688,0.599,dino_vits8_kaiko +0.835,0.958,0.835,0.907,0.816,0.621,0.636,0.551,dino_vitb16_kaiko +0.858,0.957,0.823,0.918,0.818,0.638,0.703,0.641,dino_vitb8_kaiko +0.864,0.936,0.828,0.908,0.812,0.65,0.679,0.59,dino_vitl14_kaiko From 624e7ef629e417d8327c43846a5f1d4b6bf21ab3 Mon Sep 17 00:00:00 2001 From: Nicolas Kaenzig Date: Fri, 18 Oct 2024 15:52:34 +0200 Subject: [PATCH 8/8] update sentence in protocol docs --- docs/leaderboards.md | 5 +---- 1 file changed, 1 insertion(+), 4 deletions(-) diff --git a/docs/leaderboards.md b/docs/leaderboards.md index fa84178d2..66e53f4ee 100644 --- a/docs/leaderboards.md +++ b/docs/leaderboards.md @@ -27,7 +27,7 @@ For details on the FM-backbones and instructions to replicate the results, check ## Evaluation protocol -*eva* uses a task- & model-independent and fixed default set up which closely follows the standard evaluation protocol proposed by [1] (with adjustments for slide-level tasks to ensure convergence and computational efficiency). +*eva* uses a fixed protocol customized to each category of tasks. The setup has proven to be performant and robust independent of task and model size & architecture and generally prioritizes fairness and comparability over state-of-the-art performance. We selected this approach to prioritize reliable, robust and fair FM-evaluation while being in line with common literature. @@ -56,6 +56,3 @@ We selected this approach to prioritize reliable, robust and fair FM-evaluation (2) Lower cap at a minimum of 8 epochs. (3) Number of patches per slide depends on task and slide size. E.g. for `PANDASmall` and `Camelyon16Small` we use a max of 200 and 1000 random patches per slide respectively. - - -- [1]: [Virchow: A Million-Slide Digital Pathology Foundation Model, 2024](https://arxiv.org/pdf/2309.07778.pdf)