Note Machine-translated STS-B, translated using Google Translate API.

LazarusNLP/all-indo-e5-small-v4

Sentence Similarity • Updated 7 days ago • 8

Note 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 • Updated Feb 12 • 13

Note `intfloat/multilingual-e5-small` fine-tuned on all available supervised Indonesian datasets (v3).

LazarusNLP/all-indo-e5-small-v2

Sentence Similarity • Updated Jan 27

Note `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 • Updated 7 days ago • 52

Note `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 • Updated 3 days ago • 31 • 2

Note `LazarusNLP/NusaBERT-large` fine-tuned on all available supervised Indonesian datasets (v4).

LazarusNLP/all-indobert-base-v4

Sentence Similarity • Updated 7 days ago • 1

Note `indobenchmark/indobert-base-p1` fine-tuned on all available supervised Indonesian datasets (v4).

LazarusNLP/all-indobert-base-v2

Sentence Similarity • Updated Jan 26 • 93.4k

Note `indobenchmark/indobert-base-p1` fine-tuned on all available supervised Indonesian datasets (v2).

LazarusNLP/all-indobert-base

Sentence Similarity • Updated Jan 25 • 42

Note Same as above, except with v1 of all supervised Indonesian datasets.

LazarusNLP/simcse-indobert-base

Sentence Similarity • Updated Jan 6 • 132

Note `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 • Updated Jan 26 • 11

Note `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 • Updated Jan 6

Note 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 • Updated Jan 6

Note 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 • Updated Jan 23

Note `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 • Updated Jan 22

Note `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.