Update README.md
Browse filesadd some mteb evaluations
README.md
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- sentence-transformers
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- sentence-similarity
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- feature-extraction
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widget: []
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---
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| 7 |
- sentence-transformers
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- sentence-similarity
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- feature-extraction
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+
- mteb
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model-index:
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- name: Jaume/gemma-2b-embeddings
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results:
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- dataset:
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config: en
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name: MTEB AmazonCounterfactualClassification (en)
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revision: e8379541af4e31359cca9fbcf4b00f2671dba205
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split: test
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type: mteb/amazon_counterfactual
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metrics:
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- type: accuracy
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value: 67.49253731343282
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- type: ap
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value: 30.934850114823686
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- type: ap_weighted
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value: 30.934850114823686
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- type: f1
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value: 61.84797708567085
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- type: f1_weighted
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value: 70.73274750522187
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- type: main_score
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value: 67.49253731343282
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task:
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type: Classification
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- dataset:
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config: en
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name: MTEB AmazonReviewsClassification (en)
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revision: 1399c76144fd37290681b995c656ef9b2e06e26d
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split: test
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type: mteb/amazon_reviews_multi
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metrics:
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- type: accuracy
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value: 34.896
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- type: f1
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value: 34.750819111826075
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- type: f1_weighted
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value: 34.750819111826075
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- type: main_score
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value: 34.896
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task:
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type: Classification
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- dataset:
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config: default
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name: MTEB Banking77Classification (default)
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revision: 0fd18e25b25c072e09e0d92ab615fda904d66300
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split: test
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type: mteb/banking77
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metrics:
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- type: accuracy
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value: 58.425324675324674
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- type: f1
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value: 58.31484701136234
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- type: f1_weighted
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value: 58.314847011362325
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- type: main_score
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value: 58.425324675324674
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task:
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type: Classification
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- dataset:
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config: default
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name: MTEB EmotionClassification (default)
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revision: 4f58c6b202a23cf9a4da393831edf4f9183cad37
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split: test
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type: mteb/emotion
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metrics:
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- type: accuracy
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value: 29.685
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- type: f1
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value: 26.48682675929922
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- type: f1_weighted
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value: 32.280528326082006
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- type: main_score
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value: 29.685
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task:
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type: Classification
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widget: []
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---
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