all-MiniLM-L6-v2-finetuned-300 / eval /Information-Retrieval_evaluation_results.csv
ramnathv's picture
Add new SentenceTransformer model.
4751a1a
epoch,steps,cos_sim-Accuracy@1,cos_sim-Accuracy@3,cos_sim-Accuracy@5,cos_sim-Accuracy@10,cos_sim-Precision@1,cos_sim-Recall@1,cos_sim-Precision@3,cos_sim-Recall@3,cos_sim-Precision@5,cos_sim-Recall@5,cos_sim-Precision@10,cos_sim-Recall@10,cos_sim-MRR@10,cos_sim-NDCG@10,cos_sim-MAP@100,dot_score-Accuracy@1,dot_score-Accuracy@3,dot_score-Accuracy@5,dot_score-Accuracy@10,dot_score-Precision@1,dot_score-Recall@1,dot_score-Precision@3,dot_score-Recall@3,dot_score-Precision@5,dot_score-Recall@5,dot_score-Precision@10,dot_score-Recall@10,dot_score-MRR@10,dot_score-NDCG@10,dot_score-MAP@100
0,-1,0.92,0.95,0.96,0.98,0.92,0.92,0.31666666666666665,0.95,0.19199999999999995,0.96,0.09799999999999998,0.98,0.9389285714285716,0.9488207658565767,0.939354292049414,0.92,0.95,0.96,0.98,0.92,0.92,0.31666666666666665,0.95,0.19199999999999995,0.96,0.09799999999999998,0.98,0.9389285714285716,0.9488207658565767,0.939354292049414
1,-1,0.92,0.95,0.97,0.98,0.92,0.92,0.31666666666666665,0.95,0.19399999999999995,0.97,0.09799999999999998,0.98,0.9397619047619048,0.9495654595662303,0.9402171105730429,0.92,0.95,0.97,0.98,0.92,0.92,0.31666666666666665,0.95,0.19399999999999995,0.97,0.09799999999999998,0.98,0.9397619047619048,0.9495654595662303,0.9402171105730429
2,-1,0.93,0.96,0.96,0.98,0.93,0.93,0.31999999999999995,0.96,0.19199999999999995,0.96,0.09799999999999998,0.98,0.9447619047619048,0.953204702740128,0.9452284362020671,0.93,0.96,0.96,0.98,0.93,0.93,0.31999999999999995,0.96,0.19199999999999995,0.96,0.09799999999999998,0.98,0.9447619047619048,0.953204702740128,0.9452284362020671
3,-1,0.92,0.96,0.97,0.98,0.92,0.92,0.31999999999999995,0.96,0.19399999999999995,0.97,0.09799999999999998,0.98,0.9420000000000001,0.9513584925505694,0.9425035577449371,0.92,0.96,0.97,0.98,0.92,0.92,0.31999999999999995,0.96,0.19399999999999995,0.97,0.09799999999999998,0.98,0.9420000000000001,0.9513584925505694,0.9425035577449371
4,-1,0.92,0.96,0.97,0.98,0.92,0.92,0.31999999999999995,0.96,0.19399999999999995,0.97,0.09799999999999998,0.98,0.9422619047619049,0.951567991521211,0.9427432155657962,0.92,0.96,0.97,0.98,0.92,0.92,0.31999999999999995,0.96,0.19399999999999995,0.97,0.09799999999999998,0.98,0.9422619047619049,0.951567991521211,0.9427432155657962
5,-1,0.92,0.96,0.97,0.98,0.92,0.92,0.31999999999999995,0.96,0.19399999999999995,0.97,0.09799999999999998,0.98,0.9420833333333333,0.9513893069557349,0.9425967261904762,0.92,0.96,0.97,0.98,0.92,0.92,0.31999999999999995,0.96,0.19399999999999995,0.97,0.09799999999999998,0.98,0.9420833333333333,0.9513893069557349,0.9425967261904762
6,-1,0.92,0.96,0.97,0.98,0.92,0.92,0.31999999999999995,0.96,0.19399999999999995,0.97,0.09799999999999998,0.98,0.9422619047619049,0.951567991521211,0.9427683013503909,0.92,0.96,0.97,0.98,0.92,0.92,0.31999999999999995,0.96,0.19399999999999995,0.97,0.09799999999999998,0.98,0.9422619047619049,0.951567991521211,0.9427683013503909
7,-1,0.92,0.96,0.97,0.98,0.92,0.92,0.31999999999999995,0.96,0.19399999999999995,0.97,0.09799999999999998,0.98,0.9422619047619049,0.951567991521211,0.9427683013503909,0.92,0.96,0.97,0.98,0.92,0.92,0.31999999999999995,0.96,0.19399999999999995,0.97,0.09799999999999998,0.98,0.9422619047619049,0.951567991521211,0.9427683013503909
8,-1,0.92,0.96,0.97,0.98,0.92,0.92,0.31999999999999995,0.96,0.19399999999999995,0.97,0.09799999999999998,0.98,0.9420833333333333,0.9513893069557349,0.9425897299218196,0.92,0.96,0.97,0.98,0.92,0.92,0.31999999999999995,0.96,0.19399999999999995,0.97,0.09799999999999998,0.98,0.9420833333333333,0.9513893069557349,0.9425897299218196
9,-1,0.92,0.96,0.97,0.98,0.92,0.92,0.31999999999999995,0.96,0.19399999999999995,0.97,0.09799999999999998,0.98,0.9420833333333333,0.9513893069557349,0.9425897299218196,0.92,0.96,0.97,0.98,0.92,0.92,0.31999999999999995,0.96,0.19399999999999995,0.97,0.09799999999999998,0.98,0.9420833333333333,0.9513893069557349,0.9425897299218196