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README.md

@@ -1,227 +1,227 @@
 ---
+tags:
+- mteb
 model-index:
 - name: 2024-06-15_10-09-42
   results:
-  - dataset:
-      config: pl
+  - task:
+      type: Classification
+    dataset:
       name: MTEB MassiveIntentClassification
-      revision: 4672e20407010da34463acc759c162ca9734bca6
-      split: test
       type: mteb/amazon_massive_intent
+      config: pl
+      split: test
+      revision: 4672e20407010da34463acc759c162ca9734bca6
     metrics:
     - type: accuracy
       value: 0.09270342972427706
-    task:
+  - task:
       type: Classification
-  - dataset:
-      config: pl
+    dataset:
       name: MTEB MassiveIntentClassification
-      revision: 4672e20407010da34463acc759c162ca9734bca6
-      split: validation
       type: mteb/amazon_massive_intent
+      config: pl
+      split: validation
+      revision: 4672e20407010da34463acc759c162ca9734bca6
     metrics:
     - type: accuracy
       value: 0.09493359567142154
-    task:
+  - task:
       type: Classification
-  - dataset:
-      config: pl
+    dataset:
       name: MTEB MassiveScenarioClassification
-      revision: fad2c6e8459f9e1c45d9315f4953d921437d70f8
-      split: test
       type: mteb/amazon_massive_scenario
+      config: pl
+      split: test
+      revision: fad2c6e8459f9e1c45d9315f4953d921437d70f8
     metrics:
     - type: accuracy
       value: 0.13839946200403497
-    task:
+  - task:
       type: Classification
-  - dataset:
-      config: pl
+    dataset:
       name: MTEB MassiveScenarioClassification
-      revision: fad2c6e8459f9e1c45d9315f4953d921437d70f8
-      split: validation
       type: mteb/amazon_massive_scenario
+      config: pl
+      split: validation
+      revision: fad2c6e8459f9e1c45d9315f4953d921437d70f8
     metrics:
     - type: accuracy
       value: 0.13300541072306934
-    task:
+  - task:
       type: Classification
-  - dataset:
-      config: default
+    dataset:
       name: MTEB CBD
-      revision: 36ddb419bcffe6a5374c3891957912892916f28d
-      split: test
       type: PL-MTEB/cbd
+      config: default
+      split: test
+      revision: 36ddb419bcffe6a5374c3891957912892916f28d
     metrics:
     - type: accuracy
       value: 0.49749999999999994
-    task:
+  - task:
       type: Classification
-  - dataset:
-      config: default
+    dataset:
       name: MTEB PolEmo2.0-IN
-      revision: d90724373c70959f17d2331ad51fb60c71176b03
-      split: test
       type: PL-MTEB/polemo2_in
+      config: default
+      split: test
+      revision: d90724373c70959f17d2331ad51fb60c71176b03
     metrics:
     - type: accuracy
       value: 0.3736842105263158
-    task:
+  - task:
       type: Classification
-  - dataset:
-      config: default
+    dataset:
       name: MTEB PolEmo2.0-OUT
-      revision: 6a21ab8716e255ab1867265f8b396105e8aa63d4
-      split: test
       type: PL-MTEB/polemo2_out
+      config: default
+      split: test
+      revision: 6a21ab8716e255ab1867265f8b396105e8aa63d4
     metrics:
     - type: accuracy
       value: 0.2955465587044534
-    task:
+  - task:
       type: Classification
-  - dataset:
-      config: default
+    dataset:
       name: MTEB AllegroReviews
-      revision: b89853e6de927b0e3bfa8ecc0e56fe4e02ceafc6
-      split: test
       type: PL-MTEB/allegro-reviews
+      config: default
+      split: test
+      revision: b89853e6de927b0e3bfa8ecc0e56fe4e02ceafc6
     metrics:
     - type: accuracy
       value: 0.22713717693836974
-    task:
+  - task:
       type: Classification
-  - dataset:
-      config: default
+    dataset:
       name: MTEB PAC
-      revision: fc69d1c153a8ccdcf1eef52f4e2a27f88782f543
-      split: test
       type: laugustyniak/abusive-clauses-pl
+      config: default
+      split: test
+      revision: fc69d1c153a8ccdcf1eef52f4e2a27f88782f543
     metrics:
     - type: accuracy
       value: 0.5633651896901245
-    task:
-      type: Classification
-  - dataset:
-      config: default
+  - task:
+      type: Clustering
+    dataset:
       name: MTEB EightTagsClustering
-      revision: 78b962b130c6690659c65abf67bf1c2f030606b6
-      split: test
       type: PL-MTEB/8tags-clustering
+      config: default
+      split: test
+      revision: 78b962b130c6690659c65abf67bf1c2f030606b6
     metrics:
     - type: v_measure
       value: 0.011462589437473216
-    task:
-      type: Clustering
-  - dataset:
-      config: default
+  - task:
+      type: PairClassification
+    dataset:
       name: MTEB SICK-E-PL
-      revision: 71bba34b0ece6c56dfcf46d9758a27f7a90f17e9
-      split: test
       type: PL-MTEB/sicke-pl-pairclassification
+      config: default
+      split: test
+      revision: 71bba34b0ece6c56dfcf46d9758a27f7a90f17e9
     metrics:
     - type: ap
       value: 0.5523380294645331
-    task:
+  - task:
       type: PairClassification
-  - dataset:
-      config: default
+    dataset:
       name: MTEB CDSC-E
-      revision: 0a3d4aa409b22f80eb22cbf59b492637637b536d
-      split: test
       type: PL-MTEB/cdsce-pairclassification
+      config: default
+      split: test
+      revision: 0a3d4aa409b22f80eb22cbf59b492637637b536d
     metrics:
     - type: ap
       value: 0.43095490774008566
-    task:
+  - task:
       type: PairClassification
-  - dataset:
-      config: default
+    dataset:
       name: MTEB PSC
-      revision: d05a294af9e1d3ff2bfb6b714e08a24a6cabc669
-      split: test
       type: PL-MTEB/psc-pairclassification
+      config: default
+      split: test
+      revision: d05a294af9e1d3ff2bfb6b714e08a24a6cabc669
     metrics:
     - type: ap
       value: 0.4035899331798161
-    task:
-      type: PairClassification
-  - dataset:
-      config: pl
+  - task:
+      type: STS
+    dataset:
       name: MTEB STS22
-      revision: de9d86b3b84231dc21f76c7b7af1f28e2f57f6e3
-      split: test
       type: mteb/sts22-crosslingual-sts
+      config: pl
+      split: test
+      revision: de9d86b3b84231dc21f76c7b7af1f28e2f57f6e3
     metrics:
     - type: cosine_spearman
       value: -0.1003112640780357
-    task:
+  - task:
       type: STS
-  - dataset:
-      config: pl
+    dataset:
       name: MTEB STSBenchmarkMultilingualSTS
-      revision: 29afa2569dcedaaa2fe6a3dcfebab33d28b82e8c
-      split: dev
       type: mteb/stsb_multi_mt
+      config: pl
+      split: dev
+      revision: 29afa2569dcedaaa2fe6a3dcfebab33d28b82e8c
     metrics:
     - type: cosine_spearman
       value: 0.3621828967981027
-    task:
+  - task:
       type: STS
-  - dataset:
-      config: pl
+    dataset:
       name: MTEB STSBenchmarkMultilingualSTS
-      revision: 29afa2569dcedaaa2fe6a3dcfebab33d28b82e8c
-      split: test
       type: mteb/stsb_multi_mt
+      config: pl
+      split: test
+      revision: 29afa2569dcedaaa2fe6a3dcfebab33d28b82e8c
     metrics:
     - type: cosine_spearman
       value: 0.36999667618778675
-    task:
+  - task:
       type: STS
-  - dataset:
-      config: default
+    dataset:
       name: MTEB SICK-R-PL
-      revision: fd5c2441b7eeff8676768036142af4cfa42c1339
-      split: test
       type: PL-MTEB/sickr-pl-sts
+      config: default
+      split: test
+      revision: fd5c2441b7eeff8676768036142af4cfa42c1339
     metrics:
     - type: cosine_spearman
       value: 0.43158198285416055
-    task:
+  - task:
       type: STS
-  - dataset:
-      config: default
+    dataset:
       name: MTEB CDSC-R
-      revision: 1cd6abbb00df7d14be3dbd76a7dcc64b3a79a7cd
-      split: test
       type: PL-MTEB/cdscr-sts
+      config: default
+      split: test
+      revision: 1cd6abbb00df7d14be3dbd76a7dcc64b3a79a7cd
     metrics:
     - type: cosine_spearman
       value: 0.4616750744735728
-    task:
-      type: STS
-  - dataset:
-      config: default
+  - task:
+      type: Clustering
+    dataset:
       name: MTEB PlscClusteringS2S
-      revision: 39bcadbac6b1eddad7c1a0a176119ce58060289a
-      split: test
       type: PL-MTEB/plsc-clustering-s2s
+      config: default
+      split: test
+      revision: 39bcadbac6b1eddad7c1a0a176119ce58060289a
     metrics:
     - type: v_measure
       value: 0.17960532151287045
-    task:
+  - task:
       type: Clustering
-  - dataset:
-      config: default
+    dataset:
       name: MTEB PlscClusteringP2P
-      revision: 8436dd4c05222778013d6642ee2f3fa1722bca9b
-      split: test
       type: PL-MTEB/plsc-clustering-p2p
+      config: default
+      split: test
+      revision: 8436dd4c05222778013d6642ee2f3fa1722bca9b
     metrics:
     - type: v_measure
       value: 0.1815461918111827
-    task:
-      type: Clustering
-tags:
-- mteb
 ---

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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+oid sha256:e720e8bb7e2c87ca93a4e2f52c2b235bafefcaa0fdce1710453fa6e3a982fd02
 size 1884997956