GATE-AraBert-V1

This is GATE | General Arabic Text Embedding trained using SentenceTransformers in a multi-task setup. The system trains on the AllNLI and on the STS dataset.

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Model size

135M params

Tensor type

F32

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Collection including LLMXperts/GATE-AraBert-v1

GATE Repo

Collection

Models and Dataset for Gate Paper Sumbission • 6 items • Updated Apr 17

Evaluation results

cosine_pearson on MTEB STS17 (ar-ar)
test set self-reported

82.066
cosine_spearman on MTEB STS17 (ar-ar)
test set self-reported

82.781
euclidean_pearson on MTEB STS17 (ar-ar)
test set self-reported

79.240
euclidean_spearman on MTEB STS17 (ar-ar)
test set self-reported

81.529
main_score on MTEB STS17 (ar-ar)
test set self-reported

82.781
manhattan_pearson on MTEB STS17 (ar-ar)
test set self-reported

78.954
manhattan_spearman on MTEB STS17 (ar-ar)
test set self-reported

81.151
cosine_pearson on MTEB STS22.v2 (ar)
test set self-reported

54.913
cosine_spearman on MTEB STS22.v2 (ar)
test set self-reported

63.098
euclidean_pearson on MTEB STS22.v2 (ar)
test set self-reported

57.927

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