Sentence Similarity
sentence-transformers
TensorBoard
Safetensors
albert
feature-extraction
Generated from Trainer
dataset_size:3801
loss:MultipleNegativesRankingLoss
Eval Results (legacy)
Instructions to use yosriku/exp_data_scale_3files with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use yosriku/exp_data_scale_3files with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("yosriku/exp_data_scale_3files") sentences = [ "s Siapa yang menetapkan keputusan kelayakan lingkungan?", "Apakah bahan saya cukup?", "(3) Pakar independen dan sekretariat sebagaimana dimaksud pada ayat (3) ditetapkan oleh Menteri, gubernur, atau bupati/walikota sesuai dengan kewenangannya. Pasal 31 Berdasarkan hasil penilaian Komisi Penilai Amdal, Menteri, gubernur, atau bupati/walikota menetapkan keputusan kelayakan atau ketidaklayakan lingkungan hidup sesuai dengan kewenangannya.", "Tujuan yang hendak dicapai dari penerapan konsep pengelolaan sampah ini adalah minimalisasi sampah, peningkatan kualitas kesehatan masyarakat, dan peningkatan kualitas lingkungan hidup." ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [4, 4] - Notebooks
- Google Colab
- Kaggle
Training in progress, step 5
Browse files- config.json +48 -0
- eval/triplet_evaluation_retrieval-validation_results.csv +2 -0
- model.safetensors +3 -0
- runs/Nov06_23-48-56_de077089cc8e/events.out.tfevents.1762472939.de077089cc8e.37.9 +3 -0
- special_tokens_map.json +37 -0
- tokenizer.json +0 -0
- tokenizer_config.json +65 -0
- training_args.bin +3 -0
- vocab.txt +0 -0
config.json
ADDED
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{
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"_num_labels": 5,
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"architectures": [
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"AlbertModel"
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],
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"attention_probs_dropout_prob": 0,
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"bos_token_id": 2,
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"classifier_dropout_prob": 0.1,
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"down_scale_factor": 1,
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"embedding_size": 128,
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"eos_token_id": 3,
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"gap_size": 0,
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"hidden_act": "gelu",
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"hidden_dropout_prob": 0,
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"hidden_size": 768,
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"id2label": {
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"0": "LABEL_0",
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"1": "LABEL_1",
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"2": "LABEL_2",
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"3": "LABEL_3",
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"4": "LABEL_4"
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},
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"initializer_range": 0.02,
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"inner_group_num": 1,
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"intermediate_size": 3072,
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"label2id": {
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"LABEL_0": 0,
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"LABEL_1": 1,
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"LABEL_2": 2,
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"LABEL_3": 3,
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"LABEL_4": 4
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},
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"layer_norm_eps": 1e-12,
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"max_position_embeddings": 512,
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"model_type": "albert",
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"net_structure_type": 0,
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"num_attention_heads": 12,
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"num_hidden_groups": 1,
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"num_hidden_layers": 12,
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"num_memory_blocks": 0,
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"output_past": true,
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"pad_token_id": 0,
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"position_embedding_type": "absolute",
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"torch_dtype": "float32",
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"transformers_version": "4.53.3",
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"type_vocab_size": 2,
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"vocab_size": 30000
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}
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eval/triplet_evaluation_retrieval-validation_results.csv
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epoch,steps,accuracy_cosine
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0.3333333333333333,5,0.989880383014679
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model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:65371a111d83ceb600265785f820061d2fbdbdd702891241b38b32224b083692
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size 46737416
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runs/Nov06_23-48-56_de077089cc8e/events.out.tfevents.1762472939.de077089cc8e.37.9
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version https://git-lfs.github.com/spec/v1
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oid sha256:dce62f0b31a698714b2131a6cbef8137fc03e39e2b5ac09f56dfcb4e34081763
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size 4784
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special_tokens_map.json
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{
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"cls_token": {
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"content": "[CLS]",
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"lstrip": false,
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"normalized": false,
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"rstrip": false,
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"single_word": false
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},
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"mask_token": {
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"content": "[MASK]",
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"lstrip": false,
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"normalized": false,
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"rstrip": false,
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"single_word": false
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},
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"pad_token": {
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"content": "[PAD]",
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"lstrip": false,
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"normalized": false,
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"rstrip": false,
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"single_word": false
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},
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"sep_token": {
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"content": "[SEP]",
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"lstrip": false,
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"normalized": false,
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"rstrip": false,
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"single_word": false
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},
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"unk_token": {
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"content": "[UNK]",
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"lstrip": false,
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"normalized": false,
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"rstrip": false,
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"single_word": false
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}
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}
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tokenizer.json
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tokenizer_config.json
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{
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"added_tokens_decoder": {
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"0": {
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"content": "[PAD]",
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| 5 |
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"lstrip": false,
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| 6 |
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"normalized": false,
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"rstrip": false,
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"single_word": false,
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"special": true
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},
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"1": {
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"content": "[UNK]",
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"lstrip": false,
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"normalized": false,
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| 15 |
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"rstrip": false,
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"single_word": false,
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| 17 |
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"special": true
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| 18 |
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},
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"2": {
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"content": "[CLS]",
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| 21 |
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"lstrip": false,
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| 22 |
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"normalized": false,
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| 23 |
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"rstrip": false,
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| 24 |
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"single_word": false,
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| 25 |
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"special": true
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| 26 |
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},
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| 27 |
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"3": {
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| 28 |
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"content": "[SEP]",
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| 29 |
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"lstrip": false,
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| 30 |
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"normalized": false,
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| 31 |
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"rstrip": false,
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| 32 |
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"single_word": false,
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| 33 |
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"special": true
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| 34 |
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},
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"4": {
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"content": "[MASK]",
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| 37 |
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"lstrip": false,
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| 38 |
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"normalized": false,
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| 39 |
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"rstrip": false,
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| 40 |
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"single_word": false,
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| 41 |
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"special": true
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| 42 |
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}
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| 43 |
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},
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| 44 |
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"clean_up_tokenization_spaces": true,
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| 45 |
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"cls_token": "[CLS]",
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| 46 |
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"do_basic_tokenize": true,
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| 47 |
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"do_lower_case": true,
|
| 48 |
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"extra_special_tokens": {},
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| 49 |
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"mask_token": "[MASK]",
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| 50 |
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"max_length": 32,
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| 51 |
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"model_max_length": 32,
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| 52 |
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"never_split": null,
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| 53 |
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"pad_to_multiple_of": null,
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| 54 |
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"pad_token": "[PAD]",
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| 55 |
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"pad_token_type_id": 0,
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| 56 |
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"padding_side": "right",
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| 57 |
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"sep_token": "[SEP]",
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| 58 |
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"stride": 0,
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| 59 |
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"strip_accents": null,
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| 60 |
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"tokenize_chinese_chars": true,
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| 61 |
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"tokenizer_class": "BertTokenizer",
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| 62 |
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"truncation_side": "right",
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| 63 |
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"truncation_strategy": "longest_first",
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| 64 |
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"unk_token": "[UNK]"
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| 65 |
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}
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training_args.bin
ADDED
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version https://git-lfs.github.com/spec/v1
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| 2 |
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oid sha256:45017dfb5127a23d9c1298b7a183e94d040854a293f54fdd780e0fe8fedaa727
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| 3 |
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size 5624
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vocab.txt
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