ILKT
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2024-06-24_00-11-56_epoch_1

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 ---
-library_name: transformers
-tags: []
 ---
-# Model Card for Model ID
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 ---
+language:
+- en
+- pl
+model-index:
+- name: 2024-06-24_00-11-56_epoch_1
+  results:
+  - dataset:
+      config: default
+      name: MTEB AllegroReviews
+      revision: b89853e6de927b0e3bfa8ecc0e56fe4e02ceafc6
+      split: test
+      type: PL-MTEB/allegro-reviews
+    metrics:
+    - type: accuracy
+      value: 21.64015904572565
+    - type: f1
+      value: 18.991662712695092
+    task:
+      type: Classification
+  - dataset:
+      config: default
+      name: MTEB CBD
+      revision: 36ddb419bcffe6a5374c3891957912892916f28d
+      split: test
+      type: PL-MTEB/cbd
+    metrics:
+    - type: accuracy
+      value: 48.19
+    - type: ap
+      value: 13.940904370433898
+    - type: f1
+      value: 41.554190261075505
+    task:
+      type: Classification
+  - dataset:
+      config: default
+      name: MTEB CDSC-E
+      revision: 0a3d4aa409b22f80eb22cbf59b492637637b536d
+      split: test
+      type: PL-MTEB/cdsce-pairclassification
+    metrics: []
+    task:
+      type: PairClassification
+  - dataset:
+      config: default
+      name: MTEB CDSC-R
+      revision: 1cd6abbb00df7d14be3dbd76a7dcc64b3a79a7cd
+      split: test
+      type: PL-MTEB/cdscr-sts
+    metrics: []
+    task:
+      type: STS
+  - dataset:
+      config: default
+      name: MTEB EightTagsClustering
+      revision: 78b962b130c6690659c65abf67bf1c2f030606b6
+      split: test
+      type: PL-MTEB/8tags-clustering
+    metrics:
+    - type: v_measure
+      value: 3.6716533165447247
+    - type: v_measure_std
+      value: 0.7456391897156788
+    task:
+      type: Clustering
+  - dataset:
+      config: pl
+      name: MTEB MassiveIntentClassification (pl)
+      revision: 4672e20407010da34463acc759c162ca9734bca6
+      split: test
+      type: mteb/amazon_massive_intent
+    metrics:
+    - type: accuracy
+      value: 18.25487558843309
+    - type: f1
+      value: 17.064530453068617
+    task:
+      type: Classification
+  - dataset:
+      config: pl
+      name: MTEB MassiveIntentClassification (pl)
+      revision: 4672e20407010da34463acc759c162ca9734bca6
+      split: validation
+      type: mteb/amazon_massive_intent
+    metrics:
+    - type: accuracy
+      value: 17.466797835710775
+    - type: f1
+      value: 15.97805161692316
+    task:
+      type: Classification
+  - dataset:
+      config: pl
+      name: MTEB MassiveScenarioClassification (pl)
+      revision: fad2c6e8459f9e1c45d9315f4953d921437d70f8
+      split: test
+      type: mteb/amazon_massive_scenario
+    metrics:
+    - type: accuracy
+      value: 26.133154001344987
+    - type: f1
+      value: 22.89592896425965
+    task:
+      type: Classification
+  - dataset:
+      config: pl
+      name: MTEB MassiveScenarioClassification (pl)
+      revision: fad2c6e8459f9e1c45d9315f4953d921437d70f8
+      split: validation
+      type: mteb/amazon_massive_scenario
+    metrics:
+    - type: accuracy
+      value: 25.597638957206097
+    - type: f1
+      value: 22.807892363296585
+    task:
+      type: Classification
+  - dataset:
+      config: default
+      name: MTEB PAC
+      revision: fc69d1c153a8ccdcf1eef52f4e2a27f88782f543
+      split: test
+      type: laugustyniak/abusive-clauses-pl
+    metrics:
+    - type: accuracy
+      value: 51.78974804517811
+    - type: ap
+      value: 69.15056470721252
+    - type: f1
+      value: 50.514450992966154
+    task:
+      type: Classification
+  - dataset:
+      config: default
+      name: MTEB PSC
+      revision: d05a294af9e1d3ff2bfb6b714e08a24a6cabc669
+      split: test
+      type: PL-MTEB/psc-pairclassification
+    metrics: []
+    task:
+      type: PairClassification
+  - dataset:
+      config: default
+      name: MTEB PlscClusteringP2P
+      revision: 8436dd4c05222778013d6642ee2f3fa1722bca9b
+      split: test
+      type: PL-MTEB/plsc-clustering-p2p
+    metrics:
+    - type: v_measure
+      value: 28.304027677175853
+    task:
+      type: Clustering
+  - dataset:
+      config: default
+      name: MTEB PlscClusteringS2S
+      revision: 39bcadbac6b1eddad7c1a0a176119ce58060289a
+      split: test
+      type: PL-MTEB/plsc-clustering-s2s
+    metrics:
+    - type: v_measure
+      value: 23.73344178811674
+    task:
+      type: Clustering
+  - dataset:
+      config: default
+      name: MTEB PolEmo2.0-IN
+      revision: d90724373c70959f17d2331ad51fb60c71176b03
+      split: test
+      type: PL-MTEB/polemo2_in
+    metrics:
+    - type: accuracy
+      value: 32.75623268698061
+    - type: f1
+      value: 32.316452449910734
+    task:
+      type: Classification
+  - dataset:
+      config: default
+      name: MTEB PolEmo2.0-OUT
+      revision: 6a21ab8716e255ab1867265f8b396105e8aa63d4
+      split: test
+      type: PL-MTEB/polemo2_out
+    metrics:
+    - type: accuracy
+      value: 25.627530364372475
+    - type: f1
+      value: 20.71028014409471
+    task:
+      type: Classification
+  - dataset:
+      config: default
+      name: MTEB SICK-E-PL
+      revision: 71bba34b0ece6c56dfcf46d9758a27f7a90f17e9
+      split: test
+      type: PL-MTEB/sicke-pl-pairclassification
+    metrics: []
+    task:
+      type: PairClassification
+  - dataset:
+      config: default
+      name: MTEB SICK-R-PL
+      revision: fd5c2441b7eeff8676768036142af4cfa42c1339
+      split: test
+      type: PL-MTEB/sickr-pl-sts
+    metrics: []
+    task:
+      type: STS
+  - dataset:
+      config: pl
+      name: MTEB STS22 (pl)
+      revision: de9d86b3b84231dc21f76c7b7af1f28e2f57f6e3
+      split: test
+      type: mteb/sts22-crosslingual-sts
+    metrics: []
+    task:
+      type: STS
+  - dataset:
+      config: pl
+      name: MTEB STSBenchmarkMultilingualSTS (pl)
+      revision: 29afa2569dcedaaa2fe6a3dcfebab33d28b82e8c
+      split: dev
+      type: mteb/stsb_multi_mt
+    metrics: []
+    task:
+      type: STS
+  - dataset:
+      config: pl
+      name: MTEB STSBenchmarkMultilingualSTS (pl)
+      revision: 29afa2569dcedaaa2fe6a3dcfebab33d28b82e8c
+      split: test
+      type: mteb/stsb_multi_mt
+    metrics: []
+    task:
+      type: STS
+pipeline_tag: sentence-similarity
+tags:
+- sentence-transformers
+- sentence-similarity
+- mteb
+- feature-extraction
 ---