Training in progress, step 15000

eval/Information-Retrieval_evaluation_test_results.csv

@@ -99,3 +99,23 @@ epoch,steps,cosine-Accuracy@1,cosine-Precision@1,cosine-Recall@1,cosine-MRR@1,co
 1.0006003902536649,10000,0.6021556399132321,0.6021556399132321,0.5848343960002548,0.6021556399132321,0.7760753224505722,0.7288147454448916
 1.0006003902536649,10000,0.6026301518438177,0.6026301518438177,0.5852919610761768,0.6026301518438177,0.7761942748356735,0.7290117565428456
 1.0006003902536649,10000,0.6021217462039046,0.6021217462039046,0.5848061512424819,0.6021217462039046,0.7760508904907258,0.7287813960903553
+1.1006654325311453,11000,0.6028674078091106,0.6028674078091106,0.5852608918426265,0.6028674078091106,0.7763930280960487,0.7292817467677504
+1.1006654325311453,11000,0.602833514099783,0.602833514099783,0.5852919610761768,0.602833514099783,0.7763767518491356,0.7292808157794084
+1.1006654325311453,11000,0.6029013015184381,0.6029013015184381,0.5853936422041593,0.6029013015184381,0.7764678544422101,0.7293634979735939
+1.1006654325311453,11000,0.6028674078091106,0.6028674078091106,0.5853766953494955,0.6028674078091106,0.7764656841618544,0.7293602859442252
+1.2007304748086256,12000,0.6049010303687635,0.6049010303687635,0.5874724563762491,0.6049010303687635,0.7775153840428196,0.7306884061350553
+1.2007304748086256,12000,0.6048332429501084,0.6048332429501084,0.5873877221029302,0.6048332429501084,0.7774698704880023,0.7306513970547203
+1.2007304748086256,12000,0.6046976681127982,0.6046976681127982,0.5872464983140654,0.6046976681127982,0.7774059526170221,0.7305032904974987
+1.2007304748086256,12000,0.604562093275488,0.604562093275488,0.5871504661376374,0.604562093275488,0.7773689545615081,0.73050634822793
+1.3007955170861059,13000,0.6048332429501084,0.6048332429501084,0.5873594773451574,0.6048332429501084,0.7775281207806795,0.7306362121812662
+1.3007955170861059,13000,0.6049010303687635,0.6049010303687635,0.5874442116184762,0.6049010303687635,0.777612894791576,0.7307341232722303
+1.3007955170861059,13000,0.604867136659436,0.604867136659436,0.5873933710544849,0.604867136659436,0.7775768517071119,0.7306780330168886
+1.3007955170861059,13000,0.6051382863340564,0.6051382863340564,0.5876306270197778,0.6051382863340564,0.7776819916680322,0.7308335101565419
+1.4008605593635863,14000,0.6056805856832972,0.6056805856832972,0.5879865109677168,0.6056805856832972,0.7789164409491495,0.7319477936216572
+1.4008605593635863,14000,0.6057483731019523,0.6057483731019523,0.5880486494348174,0.6057483731019523,0.7789070924418627,0.7319535736146641
+1.4008605593635863,14000,0.6058161605206074,0.6058161605206074,0.5881503305628001,0.6058161605206074,0.7789859193498702,0.7320621903309257
+1.4008605593635863,14000,0.6058839479392625,0.6058839479392625,0.5881898732236821,0.6058839479392625,0.7789588115835179,0.7320436700524242
+1.5009256016410668,15000,0.60591784164859,0.60591784164859,0.588551406123176,0.60591784164859,0.7786150389504208,0.7318207979704784
+1.5009256016410668,15000,0.6054433297180043,0.6054433297180043,0.5880938410472542,0.6054433297180043,0.7784687613192032,0.7316098103157854
+1.5009256016410668,15000,0.6057144793926247,0.6057144793926247,0.5883649907218745,0.6057144793926247,0.7785075156594252,0.7317423869825568
+1.5009256016410668,15000,0.6056466919739696,0.6056466919739696,0.5883141501578832,0.6056466919739696,0.7784843975351148,0.7317011112420282

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:501820c214fbaa42586fdb85e21054d1153ca477ace69a2dfe19d8baeb4ae048
+oid sha256:5e37ba0a1d7993181322211363427ef5b5bb5348f2141424477812b265b1177e
 size 45142000