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Sentence Representation Evaluation on SentEval (test)

86.03MR AccuracyBERT-large + SG-OPT
76.118878.691981.26583.8381Mar 28, 2019Aug 8, 2019Dec 19, 2019Apr 30, 2020Sep 10, 2020Jan 21, 2021Jun 3, 2021

Evaluation results

MethodLinks
BERT-large + SG-OPTBase Model=BERT-large, Pooling Strategy=SG-OPT, Evaluation protocol=linear probing2021.0686.0390.1895.8287.0890.7394.65——73.3188.26
SBERT-NLI-largeTraining Data=NLI, Model Variant=large2019.0884.8890.0794.5290.3390.6687.4——75.9487.69
BERT-large + Mean poolingBase Model=BERT-large, Pooling Strategy=Mean pooling, Evaluation protocol=linear probing2021.0684.3889.0195.686.6989.290.9——72.7986.94
SBERT-NLI-baseTraining Data=NLI, Model Variant=base2019.0883.6489.4394.3989.8688.9689.6——7687.41
SBERT-base + SG-OPTBase Model=SBERT-base, Pooling Strategy=SG-OPT, Evaluation protocol=linear probing2021.0683.3489.4594.6889.7888.5787.3——75.2686.91
SBERT-base + WK poolingBase Model=SBERT-base, Pooling Strategy=WK pooling, Evaluation protocol=linear probing2021.0682.9689.3395.1390.5688.191.98——76.6687.82
SBERT-base + Mean poolingBase Model=SBERT-base, Pooling Strategy=Mean pooling, Evaluation protocol=linear probing2021.0682.889.0394.0789.7988.0886.93——75.1186.54
BERT-large + WK poolingBase Model=BERT-large, Pooling Strategy=WK pooling, Evaluation protocol=linear probing2021.0682.6887.9295.3287.2587.8191.18——70.1386.04
DiscoveryBigN (millions)=3.4, Supervision=Unsupervised2019.0382.687.494.59185.293.486.484.876.686.9
MTLN (millions)=124, Supervision=Supervised2019.0382.587.79490.983.29388.887.878.687.4
DiscoveryBaseN (millions)=1.7, Supervision=Unsupervised2019.0382.586.394.290.585.291.885.78475.886.2
BERT-base + SG-OPTBase Model=BERT-base, Pooling Strategy=SG-OPT, Evaluation protocol=linear probing2021.0682.4787.4295.488.9286.291.6——74.2186.6
DiscoveryHardN (millions)=1.7, Supervision=Unsupervised2019.0381.686.593.990.584.89085.483.276.585.8
InferSent - GloVeEmbeddings=GloVe2019.0881.5786.5492.590.3884.1888.2——75.7785.59
BERT-base + Mean poolingBase Model=BERT-base, Pooling Strategy=Mean pooling, Evaluation protocol=linear probing2021.0681.4686.7195.3787.985.8390.3——73.3685.85
DiscoveryAdvN (millions)=1.4, Supervision=Unsupervised2019.0381.485.893.890.583.4928684.375.785.9
DiscoveryShuffledN (millions)=1.7, Supervision=Unsupervised2019.0381.486.194.190.985.390.485.683.675.485.9
QuickThoughtN (millions)=174, Supervision=Unsupervised2019.0381.384.594.689.5—92.487.1—75.9—
Discovery10N (millions)=1.7, Supervision=Unsupervised2019.0381.285.193.790.2839085.983.875.885.4
InferSentN (millions)=1, Supervision=Supervised2019.0381.186.392.490.284.688.288.486.176.285.9
BERT-base + WK poolingBase Model=BERT-base, Pooling Strategy=WK pooling, Evaluation protocol=linear probing2021.0680.6485.5395.2788.6385.0394.03——71.7185.83
DisSentN (millions)=4.7, Supervision=Unsupervised2019.0380.184.993.690.184.193.684.983.77585.6
Universal Sentence Encoder2019.0880.0985.1993.9886.786.3893.2——70.1485.1
BERT CLS-vectorPooling=CLS-token, Embeddings=BERT2019.0878.6884.8594.2188.2384.1391.4——71.1384.66
Avg. BERT embeddingsPooling=Average, Embeddings=BERT2019.0878.6686.2594.3788.6684.492.8——69.4584.94
Avg. fast-text embeddingsPooling=Average, Embeddings=fast-text2019.0877.9679.2391.6887.8182.1583.6——74.4982.42
Avg. GloVe embeddingsPooling=Average, Embeddings=GloVe2019.0877.2578.391.1787.8580.1883——72.8781.52
SkipThoughtN (millions)=74, Supervision=Unsupervised2019.0376.580.193.687.18292.285.882.37383.6