Sentence Similarity
sentence-transformers
Safetensors
German
English
multilingual
xlm-roberta
feature-extraction
retrieval
semantic-search
ifc
lca
text-embeddings-inference
Instructions to use Hygros-LCA/bge-m3-ifc-kbob-finetuned with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use Hygros-LCA/bge-m3-ifc-kbob-finetuned with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("Hygros-LCA/bge-m3-ifc-kbob-finetuned") sentences = [ "Das ist eine glückliche Person", "Das ist ein glücklicher Hund", "Das ist eine sehr glückliche Person", "Heute ist ein sonniger Tag" ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [4, 4] - Notebooks
- Google Colab
- Kaggle
bge-m3-ifc-kbob-finetuned / eval /queries_missing+typos /split_eval_matrix_eval-bge-m3-ifc-kbob-finetuned-missing-queries_typos.csv
Download eval/queries_missing+typos/split_eval_matrix_eval-bge-m3-ifc-kbob-finetuned-missing-queries_typos.csv from Hygros-LCA/bge-m3-ifc-kbob-finetuned: direct link, hf CLI and curl.
- Browser
- Download file 3.81 kB
-
https://huggingface.co/Hygros-LCA/bge-m3-ifc-kbob-finetuned/resolve/main/eval/queries_missing%2Btypos/split_eval_matrix_eval-bge-m3-ifc-kbob-finetuned-missing-queries_typos.csv
- Command line
-
hf download hf://Hygros-LCA/bge-m3-ifc-kbob-finetuned/eval/queries_missing+typos/split_eval_matrix_eval-bge-m3-ifc-kbob-finetuned-missing-queries_typos.csv
-
curl -L -o split_eval_matrix_eval-bge-m3-ifc-kbob-finetuned-missing-queries_typos.csv https://huggingface.co/Hygros-LCA/bge-m3-ifc-kbob-finetuned/resolve/main/eval/queries_missing%2Btypos/split_eval_matrix_eval-bge-m3-ifc-kbob-finetuned-missing-queries_typos.csv
3.81 kB
| model,pipeline_variant,cross_encoder_model,split_axis,split_value,cases,hit@1,hit@10,hit@20,hit@30,hit@50,mrr@10,map@10,ndcg@10,recall@10,avg_expected_rank,top1_error_count,top1_error_rate | |
| models\\Hygroskopisch\\bge-m3-ifc-kbob-finetuned,baseline,-,casting_method,UNKNOWN,359,0.665738,0.871866,0.938719,0.966574,0.983287,0.724998,0.670579,0.718931,0.795450,5.091922,120,0.334262 | |
| models\\Hygroskopisch\\bge-m3-ifc-kbob-finetuned,baseline,-,casting_method,INSITU,28,0.857143,1.000000,1.000000,1.000000,1.000000,0.903912,0.842029,0.880461,0.925595,1.464286,4,0.142857 | |
| models\\Hygroskopisch\\bge-m3-ifc-kbob-finetuned,baseline,-,casting_method,PRECAST,2,1.000000,1.000000,1.000000,1.000000,1.000000,1.000000,0.583333,0.730978,0.750000,1.000000,0,0.000000 | |
| models\\Hygroskopisch\\bge-m3-ifc-kbob-finetuned,baseline,-,material_family,other,309,0.631068,0.860841,0.935275,0.964401,0.980583,0.697162,0.638670,0.690511,0.773101,5.446602,114,0.368932 | |
| models\\Hygroskopisch\\bge-m3-ifc-kbob-finetuned,baseline,-,material_family,beton,51,0.882353,0.960784,0.980392,1.000000,1.000000,0.907213,0.888056,0.907836,0.946078,2.156863,6,0.117647 | |
| models\\Hygroskopisch\\bge-m3-ifc-kbob-finetuned,baseline,-,material_family,stahl,12,0.833333,1.000000,1.000000,1.000000,1.000000,0.866071,0.804716,0.867174,0.958333,1.750000,2,0.166667 | |
| models\\Hygroskopisch\\bge-m3-ifc-kbob-finetuned,baseline,-,material_family,holz,5,1.000000,1.000000,1.000000,1.000000,1.000000,1.000000,0.769796,0.860083,0.885714,1.000000,0,0.000000 | |
| models\\Hygroskopisch\\bge-m3-ifc-kbob-finetuned,baseline,-,material_family,stahlbeton,5,0.800000,1.000000,1.000000,1.000000,1.000000,0.900000,0.777778,0.828774,0.833333,1.200000,1,0.200000 | |
| models\\Hygroskopisch\\bge-m3-ifc-kbob-finetuned,baseline,-,material_family,asphalt_bitumen,4,1.000000,1.000000,1.000000,1.000000,1.000000,1.000000,1.000000,1.000000,1.000000,1.000000,0,0.000000 | |
| models\\Hygroskopisch\\bge-m3-ifc-kbob-finetuned,baseline,-,material_family,kunststoff,2,0.500000,0.500000,0.500000,0.500000,1.000000,0.500000,0.343750,0.402405,0.375000,20.500000,1,0.500000 | |
| models\\Hygroskopisch\\bge-m3-ifc-kbob-finetuned,baseline,-,material_family,stein_mauerwerk,1,1.000000,1.000000,1.000000,1.000000,1.000000,1.000000,0.759524,0.888673,1.000000,1.000000,0,0.000000 | |
| models\\Hygroskopisch\\bge-m3-ifc-kbob-finetuned,baseline,-,query_class,eindeutig,229,0.794760,0.951965,0.960699,0.978166,0.991266,0.836638,0.836638,0.863739,0.951965,3.205240,47,0.205240 | |
| models\\Hygroskopisch\\bge-m3-ifc-kbob-finetuned,baseline,-,query_class,mehrdeutig,160,0.518750,0.781250,0.918750,0.956250,0.975000,0.599960,0.461820,0.540094,0.593646,7.106250,77,0.481250 | |
| models\\Hygroskopisch\\bge-m3-ifc-kbob-finetuned,baseline,-,source_rule,rule_base,355,0.650704,0.870423,0.938028,0.966197,0.983099,0.714320,0.652608,0.705085,0.785869,5.174648,124,0.349296 | |
| models\\Hygroskopisch\\bge-m3-ifc-kbob-finetuned,baseline,-,source_rule,rule_npk,32,1.000000,1.000000,1.000000,1.000000,1.000000,1.000000,1.000000,1.000000,1.000000,1.000000,0,0.000000 | |
| models\\Hygroskopisch\\bge-m3-ifc-kbob-finetuned,baseline,-,source_rule,rule_aggregate_alias,1,1.000000,1.000000,1.000000,1.000000,1.000000,1.000000,1.000000,1.000000,1.000000,1.000000,0,0.000000 | |
| models\\Hygroskopisch\\bge-m3-ifc-kbob-finetuned,baseline,-,source_rule,rule_pavement_alias,1,1.000000,1.000000,1.000000,1.000000,1.000000,1.000000,0.805556,0.906025,1.000000,1.000000,0,0.000000 | |
| models\\Hygroskopisch\\bge-m3-ifc-kbob-finetuned,baseline,-,strength_presence,absent,305,0.626230,0.855738,0.931148,0.960656,0.980328,0.691473,0.626833,0.681604,0.766066,5.639344,114,0.373770 | |
| models\\Hygroskopisch\\bge-m3-ifc-kbob-finetuned,baseline,-,strength_presence,present,84,0.880952,0.976190,0.988095,1.000000,1.000000,0.912911,0.884492,0.908597,0.944444,1.797619,10,0.119048 | |