Sentence Similarity
sentence-transformers
Safetensors
mpnet
feature-extraction
text-embeddings-inference
Instructions to use jhsmith/finetuned_mixed3_1epoch with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use jhsmith/finetuned_mixed3_1epoch with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("jhsmith/finetuned_mixed3_1epoch") sentences = [ "That is a happy person", "That is a happy dog", "That is a very happy person", "Today is a sunny day" ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [4, 4] - Notebooks
- Google Colab
- Kaggle
| epoch,steps,cossim_accuracy,cossim_accuracy_threshold,cossim_f1,cossim_precision,cossim_recall,cossim_f1_threshold,cossim_ap,manhattan_accuracy,manhattan_accuracy_threshold,manhattan_f1,manhattan_precision,manhattan_recall,manhattan_f1_threshold,manhattan_ap,euclidean_accuracy,euclidean_accuracy_threshold,euclidean_f1,euclidean_precision,euclidean_recall,euclidean_f1_threshold,euclidean_ap,dot_accuracy,dot_accuracy_threshold,dot_f1,dot_precision,dot_recall,dot_f1_threshold,dot_ap | |
| 0,200,0.7858276044420941,0.5763577222824097,0.5482174167153712,0.45726356841078974,0.6843385214007782,0.4701363444328308,0.6091335600168725,0.7851665785298784,19.47561264038086,0.5515128303332058,0.45483259633607076,0.7003891050583657,22.359254837036133,0.61013268462603,0.7858276044420941,0.9204806089401245,0.5482174167153712,0.45726356841078974,0.6843385214007782,1.029430627822876,0.6091335240434543,0.7858276044420941,0.5763577818870544,0.5482174167153712,0.45726356841078974,0.6843385214007782,0.47013646364212036,0.6091335056890587 | |
| 0,400,0.7859598096245373,0.5464184284210205,0.5594868611628387,0.4868563197695355,0.6575875486381323,0.46449100971221924,0.6205486896841631,0.786620835536753,20.503150939941406,0.5601713062098501,0.5003825554705432,0.6361867704280155,22.308727264404297,0.6207406076930357,0.7859598096245373,0.952451229095459,0.5594868611628387,0.4868563197695355,0.6575875486381323,1.0348999500274658,0.6205490299674805,0.7859598096245373,0.5464183688163757,0.5594868611628387,0.4868563197695355,0.6575875486381323,0.46449100971221924,0.6205492355566963 | |
| 0,600,0.7954785827604443,0.5292502641677856,0.574577861163227,0.5548007246376812,0.5958171206225681,0.44148749113082886,0.6455420396053353,0.7960074034902168,21.17987060546875,0.5740698985343855,0.5350987810004203,0.6191634241245136,23.137096405029297,0.6471026553451147,0.7954785827604443,0.9703088998794556,0.574577861163227,0.5548007246376812,0.5958171206225681,1.056894063949585,0.6455415114073381,0.7954785827604443,0.5292503237724304,0.574577861163227,0.5548007246376812,0.5958171206225681,0.4414873719215393,0.6455421578571187 | |
| 0,800,0.8001057641459545,0.5308635830879211,0.5948005378753922,0.5515378221113882,0.6454280155642024,0.4517464339733124,0.6701365182310833,0.8001057641459545,21.062387466430664,0.5949900243848371,0.5466395112016293,0.6527237354085603,22.96562957763672,0.6676242114627408,0.8001057641459545,0.9686448574066162,0.5948005378753922,0.5515378221113882,0.6454280155642024,1.0471422672271729,0.6701366028654164,0.8001057641459545,0.5308636426925659,0.5948005378753922,0.5515378221113882,0.6454280155642024,0.45174646377563477,0.6701370167401706 | |
| 0,1000,0.815309360126917,0.5239601135253906,0.6333498268184067,0.6445115810674723,0.622568093385214,0.4419393539428711,0.706612935528552,0.8147805393971443,21.25629425048828,0.6308400965123931,0.5745105872952457,0.6994163424124513,23.708391189575195,0.7062731168534296,0.815309360126917,0.9757457971572876,0.6333498268184067,0.6445115810674723,0.622568093385214,1.0564663410186768,0.706612521956639,0.815309360126917,0.5239601135253906,0.6333498268184067,0.6445115810674723,0.622568093385214,0.4419393539428711,0.7066128157434213 | |
| 0,1200,0.8180856689582232,0.5598856806755066,0.641860465116279,0.6149732620320856,0.6712062256809338,0.4915425181388855,0.7124292662822066,0.8176890534108937,19.95172882080078,0.6427090532135453,0.6105032822757112,0.6785019455252919,22.040897369384766,0.7140344340400196,0.8180856689582232,0.9382050037384033,0.641860465116279,0.6149732620320856,0.6712062256809338,1.0084220170974731,0.7124291308817017,0.8180856689582232,0.5598857402801514,0.641860465116279,0.6149732620320856,0.6712062256809338,0.4915425181388855,0.7124292981405874 | |
| 0,1400,0.826679005817028,0.5130536556243896,0.6683348498635122,0.6277777777777778,0.7144941634241245,0.4188697040081024,0.7425795009199065,0.8282654680063458,22.1783504486084,0.6684931506849314,0.6299483648881239,0.7120622568093385,23.489654541015625,0.7428400246797546,0.826679005817028,0.9868600368499756,0.6683348498635122,0.6277777777777778,0.7144941634241245,1.0780818462371826,0.7425793559552554,0.826679005817028,0.5130536556243896,0.6683348498635122,0.6277777777777778,0.7144941634241245,0.4188697636127472,0.7425797837367477 | |
| 0,1600,0.8303807509254363,0.5112713575363159,0.6759864712514092,0.6300966792770072,0.7290856031128404,0.43218129873275757,0.7561666602154211,0.831041776837652,21.267728805541992,0.6762813401375637,0.6217870257037944,0.7412451361867705,23.347381591796875,0.755766729379442,0.8303807509254363,0.9886642694473267,0.6759864712514092,0.6300966792770072,0.7290856031128404,1.0656628608703613,0.7561666049647687,0.8303807509254363,0.5112714767456055,0.6759864712514092,0.6300966792770072,0.7290856031128404,0.4321812391281128,0.7561666501597282 | |
| 0,-1,0.8318350079323109,0.5086455345153809,0.678210029233191,0.6306984525303221,0.7334630350194552,0.42734038829803467,0.7582882494779897,0.8326282390269698,21.597421646118164,0.6781197804819853,0.6655737704918033,0.691147859922179,23.008468627929688,0.7584598234302955,0.8318350079323109,0.9913167953491211,0.678210029233191,0.6306984525303221,0.7334630350194552,1.0701959133148193,0.7582882148237557,0.8318350079323109,0.5086454749107361,0.678210029233191,0.6306984525303221,0.7334630350194552,0.42734044790267944,0.7582883520395225 | |