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README.md

@@ -3946,6 +3946,38 @@ dataset_info:
     num_examples: 1
   download_size: 3260
   dataset_size: 173
+- config_name: finetune_20260107_000728_ms_marco_MiniLM_L_12_v2_rank_weighted_eval
+  features:
+  - name: config_name
+    dtype: string
+  - name: base_model
+    dtype: string
+  - name: negative_strategy
+    dtype: string
+  - name: accuracy
+    dtype: float64
+  - name: correct
+    dtype: int64
+  - name: total
+    dtype: int64
+  - name: promotions
+    dtype: int64
+  - name: demotions
+    dtype: int64
+  - name: promotion_demotion_ratio
+    dtype: float64
+  - name: eval_time_s
+    dtype: float64
+  - name: accuracy_delta
+    dtype: float64
+  - name: meets_threshold
+    dtype: bool
+  splits:
+  - name: train
+    num_bytes: 164
+    num_examples: 1
+  download_size: 5972
+  dataset_size: 164
 - config_name: finetune_20260107_000728_ms_marco_MiniLM_L_12_v2_rank_weighted_training
   features:
   - name: config_name
@@ -4627,6 +4659,10 @@ configs:
   data_files:
   - split: train
     path: finetune_20260107_000728_ms_marco_MiniLM_L_12_v2_hard_plus_random_training/train-*
+- config_name: finetune_20260107_000728_ms_marco_MiniLM_L_12_v2_rank_weighted_eval
+  data_files:
+  - split: train
+    path: finetune_20260107_000728_ms_marco_MiniLM_L_12_v2_rank_weighted_eval/train-*
 - config_name: finetune_20260107_000728_ms_marco_MiniLM_L_12_v2_rank_weighted_training
   data_files:
   - split: train

finetune_20260107_000728_ms_marco_MiniLM_L_12_v2_rank_weighted_eval/train-00000-of-00001.parquet

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:74ca9e9060fee84ef546d04d1e062750204a52c80a007ae7992d27edb181a76b
+size 5972