Training in progress, step 10000

eval/Information-Retrieval_evaluation_test_results.csv

@@ -130,3 +130,13 @@ epoch,steps,cosine-Accuracy@1,cosine-Precision@1,cosine-Recall@1,cosine-MRR@1,co
 0.030756927998031557,4000,0.5480328158080452,0.5480328158080452,0.5291336387236617,0.5480328158080452,0.7466902752701217,0.6907108926086042,{1: np.float64(0.3165503613528583)},{1: np.float64(0.1584905183525794)}
 0.0346015439977855,4500,0.5473712067748765,0.5473712067748765,0.5285073155055954,0.5473712067748765,0.7460762770981985,0.6902111231394683,{1: np.float64(0.316244546234036)},{1: np.float64(0.15849455870788642)}
 0.03844615999753945,5000,0.5465772759350741,0.5465772759350741,0.5276656017911752,0.5465772759350741,0.7454642424252953,0.6896868697328326,{1: np.float64(0.3157315313753544)},{1: np.float64(0.15814790946807478)}
+0.04229077599729339,5500,0.5464449541284404,0.5464449541284404,0.5276398725509964,0.5464449541284404,0.7449950106052737,0.6893058715332429,{1: np.float64(0.3161159392195162)},{1: np.float64(0.15845914970919264)}
+0.04613539199704734,6000,0.5464890613973182,0.5464890613973182,0.5276876554256141,0.5464890613973182,0.744875490616481,0.6891798071029069,{1: np.float64(0.3159245651663222)},{1: np.float64(0.15746293452124438)}
+0.04998000799680128,6500,0.5459597741707833,0.5459597741707833,0.5270701536613234,0.5459597741707833,0.7444225835500097,0.688697743169186,{1: np.float64(0.31598277839067607)},{1: np.float64(0.15726130577649539)}
+0.05382462399655522,7000,0.546092095977417,0.546092095977417,0.5273017168229325,0.546092095977417,0.7446500928614034,0.6887571339024188,{1: np.float64(0.31590890183249354)},{1: np.float64(0.15597683621046685)}
+0.05766923999630917,7500,0.5461803105151729,0.5461803105151729,0.5273678777262493,0.5461803105151729,0.7444372146585317,0.6886839617596953,{1: np.float64(0.3160504951109707)},{1: np.float64(0.15637114514746353)}
+0.06151385599606311,8000,0.545651023288638,0.545651023288638,0.526974587912088,0.545651023288638,0.7444998298673269,0.6885882162475423,{1: np.float64(0.3150905153426801)},{1: np.float64(0.1556452701015364)}
+0.06535847199581706,8500,0.5455187014820042,0.5455187014820042,0.5269106323722149,0.5455187014820042,0.744135824216631,0.6884355264049645,{1: np.float64(0.3155112269335471)},{1: np.float64(0.15561294710053855)}
+0.069203087995571,9000,0.5454304869442484,0.5454304869442484,0.526908794569345,0.5454304869442484,0.7439952149531176,0.6883049487925995,{1: np.float64(0.31487047719079964)},{1: np.float64(0.15721630152341148)}
+0.07304770399532495,9500,0.5448129851799577,0.5448129851799577,0.5261405929697214,0.5448129851799577,0.7434727710344781,0.6875991114670339,{1: np.float64(0.31525154293587987)},{1: np.float64(0.15972754043545825)}
+0.0768923199950789,10000,0.5432692307692307,0.5432692307692307,0.5246207299963034,0.5432692307692307,0.7432753666062328,0.6870458070022424,{1: np.float64(0.31430923979266545)},{1: np.float64(0.15749890209506082)}

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:6bec1b19f85830b091b5f2e0264f5214d5e50ec934a1f59ae716504f2aca4a8a
+oid sha256:6bee8831ea32697a3ae668511547e9437b7c82cfda3ff759437aa09b9f3b0761
 size 45437864