Training in progress, step 325

eval/CrossEncoderRerankingEvaluator_NanoMSMARCO_R100_results_@10.csv

@@ -11,3 +11,4 @@ epoch,steps,MAP,MRR@10,NDCG@10
 1.7482517482517483,250,0.6177056489262371,0.6100793650793651,0.6707320294515224
 1.9230769230769231,275,0.6183203601223687,0.609079365079365,0.6657242893611663
 2.097902097902098,300,0.607074534512615,0.5977222222222223,0.6572119588656418
+2.2727272727272725,325,0.597312454487377,0.5897222222222223,0.6556118504634287

eval/CrossEncoderRerankingEvaluator_NanoNFCorpus_R100_results_@10.csv

@@ -11,3 +11,4 @@ epoch,steps,MAP,MRR@10,NDCG@10
 1.7482517482517483,250,0.40501781295378214,0.6436031746031746,0.45695194848208287
 1.9230769230769231,275,0.4067197450556439,0.6552460317460317,0.46459539568334357
 2.097902097902098,300,0.40739453648226936,0.6558253968253969,0.4661209932981575
+2.2727272727272725,325,0.4061541586312727,0.6538253968253969,0.4605706412180428

eval/CrossEncoderRerankingEvaluator_NanoNQ_R100_results_@10.csv

@@ -11,3 +11,4 @@ epoch,steps,MAP,MRR@10,NDCG@10
 1.7482517482517483,250,0.6962360891306125,0.7161904761904762,0.7543919318968979
 1.9230769230769231,275,0.6986884818884818,0.7185238095238096,0.7561340519515499
 2.097902097902098,300,0.696334810869578,0.7161904761904762,0.7508471461612168
+2.2727272727272725,325,0.7057659014416195,0.7259126984126985,0.7579398534673527

eval/NanoBEIR_evaluation_mean_results.csv

@@ -11,3 +11,4 @@ epoch,steps,MAP,MRR@10,NDCG@10
 1.7482517482517483,250,0.5729865170035439,0.6566243386243387,0.6273586366101678
 1.9230769230769231,275,0.5745761956888314,0.6609497354497355,0.6288179123320199
 2.097902097902098,300,0.5702679606214874,0.6565793650793651,0.624726699441672
+2.2727272727272725,325,0.5697441715200897,0.6564867724867726,0.6247074483829415

model.safetensors

@@ -1,3 +1,3 @@
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+oid sha256:fae31c0fce89606243d6895880138f926f3002603aba9ea9fb76221e775f31cb
 size 598436708