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README.md

@@ -12,7 +12,7 @@ language:
     - pl
 ---
 model-index:
-- name: 2024-06-17_21-37-12
+- name: 2024-06-19_08-22-22
   results:
   - dataset:
       config: pl
@@ -22,7 +22,7 @@ model-index:
       type: mteb/amazon_massive_intent
     metrics:
     - type: accuracy
-      value: 0.13691997310020174
+      value: 0.10346334902488233
     task:
       type: Classification
   - dataset:
@@ -33,7 +33,7 @@ model-index:
       type: mteb/amazon_massive_intent
     metrics:
     - type: accuracy
-      value: 0.12454500737825873
+      value: 0.10678799803246433
     task:
       type: Classification
   - dataset:
@@ -44,7 +44,7 @@ model-index:
       type: mteb/amazon_massive_scenario
     metrics:
     - type: accuracy
-      value: 0.2101882985877606
+      value: 0.1761936785474109
     task:
       type: Classification
   - dataset:
@@ -55,7 +55,7 @@ model-index:
       type: mteb/amazon_massive_scenario
     metrics:
     - type: accuracy
-      value: 0.2044761436301033
+      value: 0.17629119527791443
     task:
       type: Classification
   - dataset:
@@ -66,7 +66,7 @@ model-index:
       type: PL-MTEB/cbd
     metrics:
     - type: accuracy
-      value: 0.5424
+      value: 0.5073
     task:
       type: Classification
   - dataset:
@@ -77,7 +77,7 @@ model-index:
       type: PL-MTEB/polemo2_in
     metrics:
     - type: accuracy
-      value: 0.3379501385041551
+      value: 0.3889196675900277
     task:
       type: Classification
   - dataset:
@@ -88,7 +88,7 @@ model-index:
       type: PL-MTEB/polemo2_out
     metrics:
     - type: accuracy
-      value: 0.2777327935222672
+      value: 0.2937246963562753
     task:
       type: Classification
   - dataset:
@@ -99,7 +99,7 @@ model-index:
       type: PL-MTEB/allegro-reviews
     metrics:
     - type: accuracy
-      value: 0.20725646123260436
+      value: 0.22037773359840954
     task:
       type: Classification
   - dataset:
@@ -110,7 +110,7 @@ model-index:
       type: laugustyniak/abusive-clauses-pl
     metrics:
     - type: accuracy
-      value: 0.6321169997103967
+      value: 0.5505068056762236
     task:
       type: Classification
   - dataset:
@@ -121,7 +121,7 @@ model-index:
       type: PL-MTEB/8tags-clustering
     metrics:
     - type: v_measure
-      value: 0.05511158974160414
+      value: 0.09774455155716733
     task:
       type: Clustering
   - dataset:
@@ -132,7 +132,7 @@ model-index:
       type: PL-MTEB/sicke-pl-pairclassification
     metrics:
     - type: ap
-      value: 0.42361845278943716
+      value: 0.5140817433152867
     task:
       type: PairClassification
   - dataset:
@@ -143,7 +143,7 @@ model-index:
       type: PL-MTEB/cdsce-pairclassification
     metrics:
     - type: ap
-      value: 0.3709710445455343
+      value: 0.46484295974270995
     task:
       type: PairClassification
   - dataset:
@@ -154,7 +154,7 @@ model-index:
       type: PL-MTEB/psc-pairclassification
     metrics:
     - type: ap
-      value: 0.3809467855296219
+      value: 0.4051269007928542
     task:
       type: PairClassification
   - dataset:
@@ -165,7 +165,7 @@ model-index:
       type: mteb/sts22-crosslingual-sts
     metrics:
     - type: cosine_spearman
-      value: -0.08145692578014468
+      value: -0.08590905486427534
     task:
       type: STS
   - dataset:
@@ -176,7 +176,7 @@ model-index:
       type: mteb/stsb_multi_mt
     metrics:
     - type: cosine_spearman
-      value: 0.35697065008448076
+      value: 0.43179596275645044
     task:
       type: STS
   - dataset:
@@ -187,7 +187,7 @@ model-index:
       type: mteb/stsb_multi_mt
     metrics:
     - type: cosine_spearman
-      value: 0.3896654714447778
+      value: 0.3366352638628963
     task:
       type: STS
   - dataset:
@@ -198,7 +198,7 @@ model-index:
       type: PL-MTEB/sickr-pl-sts
     metrics:
     - type: cosine_spearman
-      value: 0.3190702232991456
+      value: 0.39053635596458536
     task:
       type: STS
   - dataset:
@@ -209,7 +209,7 @@ model-index:
       type: PL-MTEB/cdscr-sts
     metrics:
     - type: cosine_spearman
-      value: 0.41334466358949856
+      value: 0.5696239277348915
     task:
       type: STS
   - dataset:
@@ -220,7 +220,7 @@ model-index:
       type: PL-MTEB/plsc-clustering-s2s
     metrics:
     - type: v_measure
-      value: 0.22666231671459164
+      value: 0.2411184934551013
     task:
       type: Clustering
   - dataset:
@@ -231,7 +231,7 @@ model-index:
       type: PL-MTEB/plsc-clustering-p2p
     metrics:
     - type: v_measure
-      value: 0.18001344284415774
+      value: 0.2120976462600393
     task:
       type: Clustering
 tags: