Training in progress, epoch 6

adapter_model.safetensors

@@ -1,3 +1,3 @@
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-oid sha256:6f5e35d8624e37728e1eed0f4172c8a83be357e8ca3dbed9abc7d412ad423e50
+oid sha256:faf857fe176cae384355b3364b951583b8a43f4db9b31fd946702efb46540183
 size 6127553104

log.txt

@@ -1,29 +0,0 @@
-AUC: 0.8066
-Sensitivity at Specificity 80%: 0.6534
-Sensitivity at Specificity 85%: 0.5795
-Sensitivity at Specificity 90%: 0.4347
-Sensitivity at Specificity 95%: 0.3182
-##############################
-Sex Group AUC
-Sex 0: 0.8201
-Sex 1: 0.7909
-ES-AUC Sex: 0.8064
-##############################
-Race Group AUC
-Race Asian: 0.3929
-Race Black or African American: 1.0000
-Race White: 0.8115
-Race Other or Unknown: 0.7661
-ES-AUC Race: 0.8014
-##############################
-Ethnic Group AUC
-Ethnic 0: 0.8073
-Ethnic 1: 0.9017
-Ethnic Unknown or Not Reported: 0.7778
-ES-AUC Ethnic: 0.8056
-##############################
-Language Group AUC
-Language English: 0.8038
-Language Spanish: 0.9505
-Language Other or Unknown: 0.7609
-ES-AUC Language: 0.8051

runs/Aug20_13-48-33_meedgxh100a/events.out.tfevents.1755712115.meedgxh100a.562766.0

@@ -1,3 +1,3 @@
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-size 30331
+oid sha256:05b2ea90670ff1d3d079093fb9d2d0d40ac3bc3ea45e0997d280cdf6f8aecd45
+size 34621

train_medgemma_focalft_final_amd_copy.py

@@ -259,7 +259,7 @@ def create_subset(data, task_idx, train=True):
             print(f"AMD - Number of positive samples: {num_sample}")
             return random.sample(neg, 10*num_sample), pos
         else:
-            return random.sample(neg, num_sample), pos
+            return random.sample(neg, 10*num_sample), pos
             # return neg, pos
             
     ###########################################################