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yosriku
/
exp_data_scale_1files

Sentence Similarity
sentence-transformers
TensorBoard
Safetensors
albert
feature-extraction
Generated from Trainer
dataset_size:1242
loss:MultipleNegativesRankingLoss
Eval Results (legacy)
Model card Files Files and versions
xet
Metrics Training metrics Community

Instructions to use yosriku/exp_data_scale_1files with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • sentence-transformers

    How to use yosriku/exp_data_scale_1files with sentence-transformers:

    from sentence_transformers import SentenceTransformer
    
    model = SentenceTransformer("yosriku/exp_data_scale_1files")
    
    sentences = [
        "Ketiga Bagian Keempat Masuk ke Bagian Kedua kataphras kata",
        "(4) Ketentuan lebih lanjut mengenai tata cara penetapan daya dukung dan daya tampung lingkungan hidup sebagaimana dimaksud pada ayat (3) diatur dalam peraturan pemerintah. BAB V PENGENDALIAN Bagian Kesatu Umum Pasal 13 (1) Pengendalian pencemaran dan/atau kerusakan lingkungan hidup dilaksanakan dalam rangka pelestarian fungsi lingkungan hidup.",
        "(2) Apabila dalam penyelesaian sengketa di luar pengadilan sebagaimana dimaksud pada ayat (1) tida k tercapai kesepakatan, para pihak yang bersengketa dapat mengajukannya ke pengadilan. Bagian Ketiga Penyelesaian Sengketa di Dalam Pengadilan Pasal 35 (1) Penyelesaian sengketa persampahan di dalam pengadilan dilakukan melalui gugatan perbuatan melawan hukum.",
        "Jumlah pengunjung di Kawasan Wisata Pantai Parangtritis mencapai 9.870 orang/hari 1. Sedangkan, sampah yang dihasilkan oleh para wisatawan rata -rata 1,5 – 2,0 ton per hari pada hari biasa, dan bisa mencapai 20 ton sampah per hari pada saat liburan seperli libur lebaran 2."
    ]
    embeddings = model.encode(sentences)
    
    similarities = model.similarity(embeddings, embeddings)
    print(similarities.shape)
    # [4, 4]
  • Notebooks
  • Google Colab
  • Kaggle
exp_data_scale_1files
50.1 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 5 commits
yosriku's picture
yosriku
Selesai. Test Accuracy: 0.9944
b867396 verified 7 months ago
  • 1_Pooling
    Selesai. Test Accuracy: 0.9944 7 months ago
  • 2_Dense
    Selesai. Test Accuracy: 0.9944 7 months ago
  • eval
    Training in progress, step 15 7 months ago
  • runs
    Training in progress, step 15 7 months ago
  • .gitattributes
    1.52 kB
    initial commit 7 months ago
  • README.md
    26.2 kB
    Selesai. Test Accuracy: 0.9944 7 months ago
  • config.json
    1.05 kB
    Training in progress, step 5 7 months ago
  • config_sentence_transformers.json
    205 Bytes
    Selesai. Test Accuracy: 0.9944 7 months ago
  • model.safetensors
    46.7 MB
    xet
    Training in progress, step 15 7 months ago
  • modules.json
    341 Bytes
    Selesai. Test Accuracy: 0.9944 7 months ago
  • sentence_bert_config.json
    52 Bytes
    Selesai. Test Accuracy: 0.9944 7 months ago
  • special_tokens_map.json
    695 Bytes
    Training in progress, step 5 7 months ago
  • tokenizer.json
    697 kB
    Training in progress, step 5 7 months ago
  • tokenizer_config.json
    1.45 kB
    Training in progress, step 5 7 months ago
  • training_args.bin
    5.62 kB
    xet
    Training in progress, step 5 7 months ago
  • vocab.txt
    225 kB
    Training in progress, step 5 7 months ago