LazarusNLP/stsb_mt_id
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Indonesian Sentence Embedding
Indonesian Sentence Embedding models based on supervised and unsupervised techniques. https://github.com/lazarusnlp/indonesian-sentence-embeddings/
Note Machine-translated STS-B, translated using Google Translate API.
LazarusNLP/all-indo-e5-small-v4
Sentence Similarity • 0.1B • Updated • 93.3k • • 13Note Our current best model for Indonesian sentence embeddings: `intfloat/multilingual-e5-small` fine-tuned on all available supervised Indonesian datasets (v4).
LazarusNLP/all-indo-e5-small-v3
Sentence Similarity • 0.1B • Updated • 13Note `intfloat/multilingual-e5-small` fine-tuned on all available supervised Indonesian datasets (v3).
LazarusNLP/all-indo-e5-small-v2
Sentence Similarity • 0.1B • Updated • 227Note `intfloat/multilingual-e5-small` fine-tuned on all available supervised Indonesian datasets (v2). Similar performance to the model above.
LazarusNLP/all-nusabert-base-v4
Sentence Similarity • 0.1B • Updated • 61Note `LazarusNLP/NusaBERT-base` fine-tuned on all available supervised Indonesian datasets (v4). Significant improvements from `LazarusNLP/all-indobert-base-v4` counterpart.
LazarusNLP/all-nusabert-large-v4
Sentence Similarity • 0.3B • Updated • 95 • 2Note `LazarusNLP/NusaBERT-large` fine-tuned on all available supervised Indonesian datasets (v4).
LazarusNLP/all-indobert-base-v4
Sentence Similarity • 0.1B • Updated • 67 • 2Note `indobenchmark/indobert-base-p1` fine-tuned on all available supervised Indonesian datasets (v4).
LazarusNLP/all-indobert-base-v2
Sentence Similarity • 0.1B • Updated • 14Note `indobenchmark/indobert-base-p1` fine-tuned on all available supervised Indonesian datasets (v2).
LazarusNLP/all-indobert-base
Sentence Similarity • 0.1B • Updated • 12Note Same as above, except with v1 of all supervised Indonesian datasets.
LazarusNLP/simcse-indobert-base
Sentence Similarity • 0.1B • Updated • 30 • 1Note `indobenchmark/indobert-base-p1` fine-tuned using unsupervised SimCSE on Wikipedia texts. This model was the initial baseline for other unsupervised trainings.
LazarusNLP/congen-indobert-base
Sentence Similarity • 0.1B • Updated • 8Note `indobenchmark/indobert-base-p1` fine-tuned using unsupervised ConGen on Wikipedia texts. Used `sentence-transformers/paraphrase-multilingual-mpnet-base-v2` as teacher model for distillation. An improvement of the above.
LazarusNLP/congen-indobert-lite-base
Sentence Similarity • UpdatedNote Same setup as above, except with `indobenchmark/indobert-lite-base-p1` as the student model. Achieves a surprisingly decent performance despite its small size (11M lite; versus 127M above).
LazarusNLP/congen-simcse-indobert-base
Sentence Similarity • UpdatedNote Further-applying ConGen to `LazarusNLP/simcse-indobert-base`. Also used `sentence-transformers/paraphrase-multilingual-mpnet-base-v2` as teacher model for distillation. Only slightly improving the student's model initial results.
LazarusNLP/congen-indo-e5-small
Sentence Similarity • UpdatedNote `intfloat/multilingual-e5-small` fine-tuned using unsupervised ConGen on Wikipedia texts. Used `sentence-transformers/paraphrase-multilingual-mpnet-base-v2` as teacher model for distillation. Since the student model is better than the teacher model on certain tasks, this method slightly degrades its initial performance.
LazarusNLP/sct-indobert-base
Sentence Similarity • 0.1B • Updated • 2Note `indobenchmark/indobert-base-p1` fine-tuned using unsupervised SCT on Wikipedia texts. Used `sentence-transformers/paraphrase-multilingual-mpnet-base-v2` as teacher model for distillation. Worse result compared to all ConGen setups thus far; further experiments necessary.