Training in progress, epoch 1

eval/Information-Retrieval_evaluation_dim_384_results.csv

@@ -1,17 +1,2 @@
 epoch,steps,cosine-Accuracy@1,cosine-Accuracy@3,cosine-Accuracy@5,cosine-Accuracy@10,cosine-Precision@1,cosine-Recall@1,cosine-Precision@3,cosine-Recall@3,cosine-Precision@5,cosine-Recall@5,cosine-Precision@10,cosine-Recall@10,cosine-MRR@10,cosine-NDCG@10,cosine-MAP@100
-1.0,9,0.6666666666666666,0.7651515151515151,0.8106060606060606,0.8484848484848485,0.6666666666666666,0.6666666666666666,0.25505050505050497,0.7651515151515151,0.16212121212121208,0.8106060606060606,0.08484848484848483,0.8484848484848485,0.7242724867724868,0.7541531905480986,0.7300569262774139
-2.0,18,0.6818181818181818,0.7575757575757576,0.8181818181818182,0.8560606060606061,0.6818181818181818,0.6818181818181818,0.2525252525252525,0.7575757575757576,0.1636363636363636,0.8181818181818182,0.08560606060606059,0.8560606060606061,0.7344276094276095,0.7634712102935435,0.7401571483034707
-3.0,27,0.6818181818181818,0.75,0.8257575757575758,0.8636363636363636,0.6818181818181818,0.6818181818181818,0.24999999999999994,0.75,0.16515151515151513,0.8257575757575758,0.08636363636363635,0.8636363636363636,0.735858585858586,0.7662092659446238,0.7412097582135201
-4.0,36,0.6818181818181818,0.75,0.8257575757575758,0.8636363636363636,0.6818181818181818,0.6818181818181818,0.24999999999999994,0.75,0.16515151515151513,0.8257575757575758,0.08636363636363635,0.8636363636363636,0.735774410774411,0.7661186207223049,0.741158272528662
-1.0,9,0.6666666666666666,0.7954545454545454,0.8257575757575758,0.8560606060606061,0.6666666666666666,0.6666666666666666,0.2651515151515151,0.7954545454545454,0.16515151515151513,0.8257575757575758,0.08560606060606059,0.8560606060606061,0.7373406685906686,0.766568217202839,0.7420366346010626
-2.0,18,0.6590909090909091,0.7727272727272727,0.8181818181818182,0.8484848484848485,0.6590909090909091,0.6590909090909091,0.2575757575757575,0.7727272727272727,0.16363636363636358,0.8181818181818182,0.08484848484848483,0.8484848484848485,0.7273749398749398,0.7569048210681917,0.7334354748101796
-3.0,27,0.6666666666666666,0.7803030303030303,0.8106060606060606,0.8484848484848485,0.6666666666666666,0.6666666666666666,0.26010101010101006,0.7803030303030303,0.1621212121212121,0.8106060606060606,0.08484848484848483,0.8484848484848485,0.7323863636363637,0.7607817483995446,0.7384072589323476
-4.0,36,0.6666666666666666,0.7803030303030303,0.8181818181818182,0.8560606060606061,0.6666666666666666,0.6666666666666666,0.26010101010101006,0.7803030303030303,0.16363636363636358,0.8181818181818182,0.08560606060606059,0.8560606060606061,0.7336159211159212,0.7634298095536212,0.7390884255569317
-1.0,9,0.6590909090909091,0.7727272727272727,0.8257575757575758,0.8560606060606061,0.6590909090909091,0.6590909090909091,0.25757575757575757,0.7727272727272727,0.16515151515151513,0.8257575757575758,0.0856060606060606,0.8560606060606061,0.7271133958633961,0.7585570252740478,0.7302959697190949
-2.0,18,0.7045454545454546,0.7954545454545454,0.8257575757575758,0.8560606060606061,0.7045454545454546,0.7045454545454546,0.26515151515151514,0.7954545454545454,0.1651515151515151,0.8257575757575758,0.0856060606060606,0.8560606060606061,0.7559012746512747,0.7802161526672621,0.7594976445279844
-3.0,27,0.696969696969697,0.7954545454545454,0.8257575757575758,0.8484848484848485,0.696969696969697,0.696969696969697,0.26515151515151514,0.7954545454545454,0.16515151515151513,0.8257575757575758,0.08484848484848484,0.8484848484848485,0.7513468013468013,0.7752035672927198,0.7559184850780601
-4.0,36,0.696969696969697,0.7954545454545454,0.8257575757575758,0.8560606060606061,0.696969696969697,0.696969696969697,0.26515151515151514,0.7954545454545454,0.16515151515151513,0.8257575757575758,0.0856060606060606,0.8560606060606061,0.752104377104377,0.7773934523405825,0.756074878982379
-1.0,9,0.6515151515151515,0.7575757575757576,0.7954545454545454,0.8333333333333334,0.6515151515151515,0.6515151515151515,0.2525252525252525,0.7575757575757576,0.15909090909090906,0.7954545454545454,0.08333333333333331,0.8333333333333334,0.7130351130351131,0.7421746333567896,0.7182051237578251
-2.0,18,0.6439393939393939,0.7727272727272727,0.8181818181818182,0.8409090909090909,0.6439393939393939,0.6439393939393939,0.2575757575757575,0.7727272727272727,0.16363636363636358,0.8181818181818182,0.08409090909090908,0.8409090909090909,0.7180555555555557,0.748386998836804,0.7233656982881721
-3.0,27,0.6439393939393939,0.7727272727272727,0.8106060606060606,0.8484848484848485,0.6439393939393939,0.6439393939393939,0.2575757575757575,0.7727272727272727,0.16212121212121208,0.8106060606060606,0.08484848484848484,0.8484848484848485,0.7215488215488216,0.7527511475755861,0.7262844967492141
-4.0,36,0.6439393939393939,0.7727272727272727,0.8181818181818182,0.8484848484848485,0.6439393939393939,0.6439393939393939,0.2575757575757575,0.7727272727272727,0.16363636363636358,0.8181818181818182,0.08484848484848484,0.8484848484848485,0.7219065656565657,0.7530926665244366,0.7266266223983144
+1.0,9,0.6742424242424242,0.7803030303030303,0.8257575757575758,0.8787878787878788,0.6742424242424242,0.6742424242424242,0.26010101010101006,0.7803030303030303,0.16515151515151513,0.8257575757575758,0.08787878787878786,0.8787878787878788,0.7415915103415102,0.7746675674153014,0.7453004833148308

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:1c5c09b7e74390365fb1b5e90b6375f1294b2dc28311dde3bb39600f0e63207b
+oid sha256:fa40c8276fb588c551f58d715906bd98a8d0b007d9eaf69e50800b1fbd9081b5
 size 133462128

training_args.bin

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:73443a5bf03250a31503ed7285dda44076af88f4d3d13b61b22b73308b4a9006
+oid sha256:7f22d3f8b8ad49438da2e5a1bc0663006dcf10733a11f94b4ea42a8176585da5
 size 6161