Model: yahyaabd/allstats-search-large-bpstable-v1
Author: yahyaabd
Pipeline: sentence-similarity
Library: sentence-transformers
Tags: sentence-transformers, safetensors, bert, sentence-similarity, feature-extraction, generated_from_trainer, dataset_size:1432, loss:MultipleNegativesRankingLoss, arxiv:1908.10084, arxiv:1705.00652, base_model:denaya/indoSBERT-large, base_model:finetune:denaya/indoSBERT-large, model-index, text-embeddings-inference, endpoints_compatible, region:us
Base models (finetune): id: denaya/indoSBERT-large
Card metadata: tags: sentence-transformers, sentence-similarity, feature-extraction, generated_from_trainer, dataset_size:1432, loss:MultipleNegativesRankingLoss
base_model: denaya/indoSBERT-large
widget: source_sentence: Input-output domestik Indonesia: 17 sektor usaha, harga produsen, data tahun 2016 (juta Rp)
sentences: Impor Besi dan Baja Menurut Negara Asal Utama, 2017-2023 , IHK dan Rata-rata Upah per Bulan Buruh Hotel di Bawah Mandor (Supervisor), 1996-2014 (1996=100) , Tabel Input-Output Indonesia Transaksi Domestik Atas Dasar Harga Produsen (17 Lapangan Usaha), 2016 (Juta Rupiah) , source_sentence: Gaji bulanan: beda umur, beda jenis pekerjaan (9 sektor), 2017
sentences: Rata-rata Upah/Gaji Bersih Sebulan Buruh/Karyawan/Pegawai Menurut Kelompok Umur dan Lapangan Pekerjaan Utama di 9 Sektor (Rupiah), 2017 , Ekspor Rumput Laut dan Ganggang Lainnya menurut Negara Tujuan Utama, 2012-2023 , Rata-Rata Harga Valuta Asing Terpilih menurut Provinsi 2017 , source_sentence: Ringkasan aliran dana kuartal terakhir 2009 dalam Rupiah
sentences: Jumlah Perahu/Kapal, Luas Usaha Budidaya dan Produksi menurut Sub Sektor Perikanan, 2002-2016 , Jumlah Pendapatan Menurut Golongan Rumah Tangga (miliar rupiah) 2000, 2005, dan 2008 , Ringkasan Neraca Arus Dana, Triwulan IV, 2009, (Miliar Rupiah) , source_sentence: Berapa total transaksi (harga pembeli) untuk 9 sektor ekonomi di Indonesia tahun 2005? (miliar rupiah)
sentences: Jumlah Rumah Tangga Perikanan Budidaya Menurut Provinsi dan Jenis Budidaya, 2000-2016 , Transaksi Total Atas Dasar Harga Pembeli 9 Sektor Ekonomi (miliar rupiah), 2005 , Perbandingan Indeks dan Tingkat Inflasi Desember 2023 Kota-kota di Luar Pulau Jawa dan Sumatera dengan Nasional (2018=100) , source_sentence: Bagaimana kaitan antara pendidikan dan kegiatan mingguan penduduk usia 15+ pada tahun 2022?
sentences: Persentase Perkembangan Distribusi Pengeluaran , Rata-rata Pendapatan Bersih Pekerja Bebas Menurut Provinsi dan Lapangan Pekerjaan Utama (ribu rupiah), 2018 , Penduduk Berumur 15 Tahun Ke Atas Menurut Pendidikan Tertinggi yang Ditamatkan dan Jenis Kegiatan Selama Seminggu yang Lalu, 2008-2024 
pipeline_tag: sentence-similarity
library_name: sentence-transformers
metrics: cosine_accuracy@1, cosine_accuracy@3, cosine_accuracy@5, cosine_accuracy@10, cosine_precision@1, cosine_precision@3, cosine_precision@5, cosine_precision@10, cosine_recall@1, cosine_recall@3, cosine_recall@5, cosine_recall@10, cosine_ndcg@10, cosine_mrr@10, cosine_map@100, cosine_accuracy, cosine_accuracy_threshold, cosine_f1, cosine_f1_threshold, cosine_precision, cosine_recall, cosine_ap, cosine_mcc
model-index: name: SentenceTransformer based on denaya/indoSBERT-large
results: task: type: information-retrieval
name: Information Retrieval
dataset: name: eval
type: eval
metrics: type: cosine_accuracy@1
value: 0.9120521172638436
name: Cosine Accuracy@1
verified: no, type: cosine_accuracy@3
value: 0.990228013029316
name: Cosine Accuracy@3
verified: no, type: cosine_accuracy@5
value: 0.993485342019544
name: Cosine Accuracy@5
verified: no, type: cosine_accuracy@10
value: 0.996742671009772
name: Cosine Accuracy@10
verified: no, type: cosine_precision@1
value: 0.9120521172638436
name: Cosine Precision@1
verified: no, type: cosine_precision@3
value: 0.3572204125950054
name: Cosine Precision@3
verified: no, type: cosine_precision@5
value: 0.23778501628664495
name: Cosine Precision@5
verified: no, type: cosine_precision@10
value: 0.13745928338762217
name: Cosine Precision@10
verified: no, type: cosine_recall@1
value: 0.7097252402956855
name: Cosine Recall@1
verified: no, type: cosine_recall@3
value: 0.7867346590488319
name: Cosine Recall@3
verified: no, type: cosine_recall@5
value: 0.8052359035035943
name: Cosine Recall@5
verified: no, type: cosine_recall@10
value: 0.8221312325947948
name: Cosine Recall@10
verified: no, type: cosine_ndcg@10
value: 0.8348212945928647
name: Cosine Ndcg@10
verified: no, type: cosine_mrr@10
value: 0.9497052892818366
name: Cosine Mrr@10
verified: no, type: cosine_map@100
value: 0.7729410950742827
name: Cosine Map@100
verified: no, task: type: binary-classification
name: Binary Classification
dataset: name: quora duplicates dev
type: quora_duplicates_dev
metrics: type: cosine_accuracy
value: 0.9914529914529915
name: Cosine Accuracy
verified: no, type: cosine_accuracy_threshold
value: 0.31953397393226624
name: Cosine Accuracy Threshold
verified: no, type: cosine_f1
value: 0.9850953206239168
name: Cosine F1
verified: no, type: cosine_f1_threshold
value: 0.30364981293678284
name: Cosine F1 Threshold
verified: no, type: cosine_precision
value: 0.988865692414753
name: Cosine Precision
verified: no, type: cosine_recall
value: 0.981353591160221
name: Cosine Recall
verified: no, type: cosine_ap
value: 0.9956970583311449
name: Cosine Ap
verified: no, type: cosine_mcc
value: 0.9791180702139771
name: Cosine Mcc
verified: no
Likes: 0 | All-time downloads: 7
Created: 2025-03-15 02:26:07