Training in progress, epoch 10

eval/Information-Retrieval_evaluation_eval_results.csv

@@ -8,3 +8,4 @@ epoch,steps,cosine-Accuracy@1,cosine-Accuracy@3,cosine-Accuracy@5,cosine-Accurac
 7.0,56,0.6208425720620843,0.8824833702882483,0.9401330376940134,0.9778270509977827,0.6208425720620843,0.6208425720620843,0.29416112342941614,0.8824833702882483,0.18802660753880265,0.9401330376940134,0.0977827050997783,0.9778270509977827,0.7585603420969276,0.8130799896667618,0.7596029461097283
 8.0,64,0.6208425720620843,0.8824833702882483,0.9401330376940134,0.9767184035476718,0.6208425720620843,0.6208425720620843,0.2941611234294161,0.8824833702882483,0.18802660753880265,0.9401330376940134,0.09767184035476718,0.9767184035476718,0.7584028437686978,0.8127114359601555,0.759548534316922
 9.0,72,0.6130820399113082,0.885809312638581,0.9390243902439024,0.9778270509977827,0.6130820399113082,0.6130820399113082,0.295269770879527,0.885809312638581,0.1878048780487805,0.9390243902439024,0.0977827050997783,0.9778270509977827,0.7551160560306903,0.8105669095191763,0.7561685918100882
+10.0,80,0.6197339246119734,0.88470066518847,0.9390243902439024,0.9778270509977827,0.6197339246119734,0.6197339246119734,0.29490022172949004,0.88470066518847,0.18780487804878046,0.9390243902439024,0.0977827050997783,0.9778270509977827,0.7577473339668463,0.8124675617500997,0.7588050805217604

model.safetensors

@@ -1,3 +1,3 @@
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