diff --git a/docs/MODEL_ZOO.md b/docs/MODEL_ZOO.md
index 2d75be82..3a3813dc 100644
--- a/docs/MODEL_ZOO.md
+++ b/docs/MODEL_ZOO.md
@@ -21,9 +21,11 @@ Since we don't have sufficient GPUs to run these large-scale experiments, your c
MoCo v2 (@XiaohangZhan) | selfsup/moco/r50_v2.py | default | moco_r50_v2-e3b0c442.pth | 256 | 200 |
SimCLR (@XiaohangZhan) | selfsup/simclr/r50_bs256_ep200.py | default | simclr_r50_bs256_ep200-4577e9a6.pth | 256 | 200 |
| selfsup/simclr/r50_bs256_ep200_mocov2_neck.py | -> MoCo v2 neck | simclr_r50_bs256_ep200_mocov2_neck-0d6e5ff2.pth | | |
+
+BYOL (@XiaohangZhan) | selfsup/byol/r50_bs256_accumulate16_ep300.py (@scnuhealthy) | default | byol_r50_bs256_accmulate16_ep300-5df46722.pth | 256 | 300 |
+ | selfsup/byol/r50_bs2048_accumulate2_ep200_fp16.py (@xieenze) | default | byol_r50_bs2048_accmulate2_ep200-e3b0c442.pth | 2048 | 200 |
@@ -47,7 +49,7 @@ Since we don't have sufficient GPUs to run these large-scale experiments, your c
| selfsup/simclr/r50_bs256_ep200_mocov2_neck.py | -> MoCo v2 neck | feat5 | 77.65 | | | | | | | | |
BYOL | selfsup/byol/r50_bs4096_ep200.py | default | feat5 | 85.10 | 44.48 | 52.09 | 62.88 | 70.87 | 76.18 | 79.45 | 81.88 | 83.08 |
| selfsup/byol/r50_bs256_accumulate16_ep300.py | default | feat5 | 86.58 | | | | | | | | |
- | selfsup/byol/r50_bs2048_accumulate2_ep200.py | default | feat5 | 85.86 | | | | | | | | |
+ | selfsup/byol/r50_bs2048_accumulate2_ep200_fp16.py | default | feat5 | 85.86 | | | | | | | | |
@@ -76,7 +78,7 @@ Since we don't have sufficient GPUs to run these large-scale experiments, your c
| selfsup/simclr/r50_bs256_ep200_mocov2_neck.py | -> MoCo v2 neck | 16.97 | 31.88 | 41.73 | 54.33 | 59.94 | 58.00 |
BYOL | selfsup/byol/r50_bs4096_ep200.py | default | 16.70 | 34.22 | 46.61 | 60.78 | 69.14 | 67.10 |
| selfsup/byol/r50_bs256_accumulate16_ep300.py | default | 14.07 | 34.44 | 47.22 | 63.08 | 72.35 | |
- | selfsup/byol/rr50_bs2048_accumulate2_ep200_fp16.py | default | 15.52 | 34.50 | 47.22 | 62.78 | 71.61 | |
+ | selfsup/byol/r50_bs2048_accumulate2_ep200_fp16.py | default | 15.52 | 34.50 | 47.22 | 62.78 | 71.61 | |
### Places205 Linear Classification
@@ -179,6 +181,6 @@ Since we don't have sufficient GPUs to run these large-scale experiments, your c
MoCo | selfsup/moco/r50_v1.py | default | 60.5 | 40.9 | 44.2 | 57.1 | 35.5 | 37.7 |
MoCo v2 | selfsup/moco/r50_v2.py | default | 60.6 | 41.0 | 44.5 | 57.2 | 35.6 | 38.0 |
SimCLR | selfsup/simclr/r50_bs256_ep200.py | default | 59.1 | 39.6 | 42.9 | 55.9 | 34.6 | 37.1 |
-BYOL | selfsup/byol/r50_bs4096_ep200.py | default | 60.5 | 40.3 | 43.9 | 56.8 | 35.1 | 37.3 |
+BYOL | selfsup/byol/r50_bs2048_accumulate2_ep200_fp16.py | default | 60.6 | 40.2 | 43.3 | 57.0 | 34.9 | 36.7 |