Training in progress, step 500

Information-Retrieval_evaluation_BeIR-touche2020-subset-test_results.csv

@@ -16,3 +16,4 @@ epoch,steps,cosine-Accuracy@1,cosine-Accuracy@3,cosine-Accuracy@5,cosine-Accurac
 -1,-1,0.7959183673469388,0.9591836734693877,1.0,1.0,0.7959183673469388,0.017641878313560438,0.7755102040816326,0.05145765878355896,0.7183673469387756,0.07911125974269095,0.6387755102040815,0.14130927320937003,0.8799319727891155,0.6776696674154937,0.30174444583977206
 -1,-1,0.7551020408163265,0.9387755102040817,0.9591836734693877,1.0,0.7551020408163265,0.016690800699827573,0.7074829931972788,0.04680250805921222,0.689795918367347,0.0759855058950526,0.6163265306122448,0.1358782723756374,0.8509070294784582,0.650595530281222,0.28748369649294164
 -1,-1,0.7142857142857143,0.9591836734693877,1.0,1.0,0.7142857142857143,0.015880404635022063,0.7006802721088435,0.04648085765992207,0.689795918367347,0.07606536341929133,0.6306122448979592,0.13922476411011186,0.8435374149659863,0.6529991617140374,0.2850802517047579
+-1,-1,0.6938775510204082,0.9591836734693877,1.0,1.0,0.6938775510204082,0.015318508143902818,0.7414965986394558,0.049323085700107676,0.7387755102040818,0.08177075427838504,0.6469387755102041,0.1429596074128849,0.8333333333333334,0.6732632834630611,0.3042931320883796

Information-Retrieval_evaluation_NanoArguAna_results.csv

@@ -16,3 +16,4 @@ epoch,steps,cosine-Accuracy@1,cosine-Accuracy@3,cosine-Accuracy@5,cosine-Accurac
 -1,-1,0.18,0.42,0.64,0.8,0.18,0.18,0.13999999999999999,0.42,0.128,0.64,0.08,0.8,0.3626904761904761,0.46714848256079883,0.3705440826916721
 -1,-1,0.22,0.46,0.64,0.82,0.22,0.22,0.15333333333333332,0.46,0.128,0.64,0.08199999999999999,0.82,0.38210317460317456,0.4852299086268452,0.38709206855522643
 -1,-1,0.18,0.42,0.56,0.72,0.18,0.18,0.13999999999999999,0.42,0.11200000000000002,0.56,0.07200000000000001,0.72,0.3527380952380952,0.4408093391709953,0.36502285132354245
+-1,-1,0.24,0.56,0.72,0.9,0.24,0.24,0.18666666666666668,0.56,0.14400000000000002,0.72,0.08999999999999998,0.9,0.4394126984126983,0.5492042488144615,0.44569247841530457

Information-Retrieval_evaluation_NanoClimateFEVER_results.csv

@@ -16,3 +16,4 @@ epoch,steps,cosine-Accuracy@1,cosine-Accuracy@3,cosine-Accuracy@5,cosine-Accurac
 -1,-1,0.26,0.46,0.6,0.7,0.26,0.12166666666666666,0.15333333333333332,0.2133333333333333,0.14,0.304,0.08199999999999999,0.3423333333333333,0.3874682539682539,0.2801339129576084,0.21256664680077983
 -1,-1,0.22,0.44,0.48,0.64,0.22,0.10166666666666666,0.14666666666666664,0.21566666666666667,0.11200000000000002,0.25733333333333336,0.078,0.32899999999999996,0.3574365079365079,0.26550778733900804,0.20234399193987151
 -1,-1,0.22,0.44,0.52,0.62,0.22,0.10166666666666666,0.14666666666666664,0.22166666666666665,0.12000000000000002,0.2723333333333333,0.07800000000000001,0.33899999999999997,0.34035714285714286,0.26147069275043155,0.1981781964878655
+-1,-1,0.28,0.5,0.58,0.68,0.28,0.11833333333333335,0.1733333333333333,0.22833333333333333,0.12,0.2633333333333333,0.078,0.34,0.40621428571428564,0.2808903614305741,0.22360631242088647

Information-Retrieval_evaluation_NanoDBPedia_results.csv

@@ -16,3 +16,4 @@ epoch,steps,cosine-Accuracy@1,cosine-Accuracy@3,cosine-Accuracy@5,cosine-Accurac
 -1,-1,0.68,0.88,0.88,0.94,0.68,0.08099439752557214,0.54,0.15738919668281026,0.4600000000000001,0.1929320860686207,0.376,0.26471074088064933,0.7704126984126985,0.49317214853027896,0.32739141017223533
 -1,-1,0.7,0.86,0.94,0.94,0.7,0.08664286528588201,0.5533333333333332,0.1561215406130299,0.48400000000000004,0.1992182265262437,0.374,0.2641148230149855,0.7780000000000002,0.49750673218880564,0.3256955597424358
 -1,-1,0.76,0.86,0.86,0.94,0.76,0.08063316412620315,0.5266666666666666,0.14548790439401796,0.44400000000000006,0.18155499933794458,0.36800000000000005,0.25981708633550893,0.8098571428571429,0.49239230047602567,0.32859171288950245
+-1,-1,0.72,0.86,0.9,0.94,0.72,0.059622019903194524,0.54,0.14445602791486953,0.468,0.1935947024951166,0.3940000000000001,0.2762600742290385,0.7943333333333333,0.504599041585888,0.32904250829639836

Information-Retrieval_evaluation_NanoFEVER_results.csv

@@ -16,3 +16,4 @@ epoch,steps,cosine-Accuracy@1,cosine-Accuracy@3,cosine-Accuracy@5,cosine-Accurac
 -1,-1,0.7,0.92,0.96,0.96,0.7,0.6766666666666665,0.3133333333333333,0.8666666666666666,0.19599999999999995,0.9066666666666667,0.09799999999999998,0.9066666666666667,0.8056666666666666,0.8129345874026284,0.7719418586865394
 -1,-1,0.68,0.9,0.94,0.96,0.68,0.6266666666666666,0.3,0.8466666666666666,0.19199999999999995,0.8966666666666667,0.09799999999999998,0.9066666666666667,0.7885238095238097,0.7924871131510761,0.7411180290297937
 -1,-1,0.58,0.86,0.96,0.98,0.58,0.5366666666666666,0.29333333333333333,0.8066666666666668,0.19599999999999995,0.9066666666666667,0.09999999999999998,0.9266666666666667,0.7339999999999999,0.7606626704790038,0.6934942151344591
+-1,-1,0.86,0.94,0.98,0.98,0.86,0.7966666666666665,0.3133333333333333,0.8766666666666666,0.19999999999999996,0.9266666666666667,0.102,0.9366666666666668,0.9066666666666667,0.8843956236619556,0.8506153234682645

Information-Retrieval_evaluation_NanoFiQA2018_results.csv

@@ -16,3 +16,4 @@ epoch,steps,cosine-Accuracy@1,cosine-Accuracy@3,cosine-Accuracy@5,cosine-Accurac
 -1,-1,0.34,0.52,0.6,0.66,0.34,0.18941269841269842,0.20666666666666667,0.3301031746031746,0.15200000000000002,0.38343650793650796,0.09799999999999999,0.4416269841269841,0.4368888888888888,0.36434350094006035,0.30189497409017507
 -1,-1,0.38,0.58,0.6,0.68,0.38,0.20774603174603176,0.23333333333333336,0.36743650793650795,0.16399999999999998,0.4084603174603174,0.1,0.472515873015873,0.48271428571428565,0.3998169240199127,0.33971402775578574
 -1,-1,0.34,0.48,0.58,0.68,0.34,0.19707936507936508,0.19333333333333333,0.28743650793650793,0.15200000000000002,0.37743650793650796,0.102,0.46865873015873016,0.432579365079365,0.3701303439254182,0.30658113651019275
+-1,-1,0.38,0.6,0.66,0.7,0.38,0.19941269841269843,0.25333333333333335,0.38082539682539684,0.19599999999999998,0.46984920634920635,0.10799999999999998,0.5010714285714285,0.4950238095238095,0.41915583106695115,0.35716185205965095

Information-Retrieval_evaluation_NanoHotpotQA_results.csv

@@ -16,3 +16,4 @@ epoch,steps,cosine-Accuracy@1,cosine-Accuracy@3,cosine-Accuracy@5,cosine-Accurac
 -1,-1,0.72,0.82,0.86,0.9,0.72,0.36,0.3933333333333333,0.59,0.252,0.63,0.13399999999999998,0.67,0.7801666666666668,0.646633458142901,0.5837268808977187
 -1,-1,0.6,0.74,0.76,0.86,0.6,0.3,0.29333333333333333,0.44,0.18,0.45,0.10799999999999998,0.54,0.6832142857142857,0.5144248072153363,0.4369520227202821
 -1,-1,0.66,0.76,0.82,0.86,0.66,0.33,0.3133333333333333,0.47,0.204,0.51,0.11599999999999998,0.58,0.7235238095238097,0.5558933426692172,0.48029489574224554
+-1,-1,0.84,0.86,0.92,0.94,0.84,0.42,0.3933333333333333,0.59,0.25999999999999995,0.65,0.13999999999999999,0.7,0.8662222222222223,0.6904287289107535,0.6155516771430958

Information-Retrieval_evaluation_NanoMSMARCO_results.csv

@@ -16,3 +16,4 @@ epoch,steps,cosine-Accuracy@1,cosine-Accuracy@3,cosine-Accuracy@5,cosine-Accurac
 -1,-1,0.38,0.56,0.68,0.72,0.38,0.38,0.18666666666666668,0.56,0.136,0.68,0.07200000000000001,0.72,0.5023333333333333,0.5560017600077842,0.5147876135794199
 -1,-1,0.32,0.56,0.64,0.74,0.32,0.32,0.18666666666666668,0.56,0.128,0.64,0.07400000000000001,0.74,0.46127777777777773,0.5284009429027487,0.4738439729688956
 -1,-1,0.32,0.52,0.62,0.72,0.32,0.32,0.1733333333333333,0.52,0.124,0.62,0.07200000000000001,0.72,0.45404761904761903,0.5182449787606596,0.4681213273999474
+-1,-1,0.46,0.64,0.76,0.84,0.46,0.46,0.21333333333333332,0.64,0.15200000000000002,0.76,0.08399999999999999,0.84,0.5786904761904762,0.6415212118347274,0.586056624889745

Information-Retrieval_evaluation_NanoNFCorpus_results.csv

@@ -16,3 +16,4 @@ epoch,steps,cosine-Accuracy@1,cosine-Accuracy@3,cosine-Accuracy@5,cosine-Accurac
 -1,-1,0.42,0.52,0.54,0.68,0.42,0.013436920183096857,0.34,0.06451759100610847,0.32799999999999996,0.08607586979544407,0.282,0.12470236261294776,0.4855555555555556,0.3220506907545563,0.134012850250529
 -1,-1,0.36,0.48,0.6,0.66,0.36,0.012746681618306126,0.32,0.043811538132517897,0.308,0.06425428616047847,0.264,0.11311355903810191,0.452,0.29493765590400556,0.1076942119899729
 -1,-1,0.38,0.46,0.52,0.66,0.38,0.013257687088254642,0.3133333333333333,0.053362266003216766,0.3,0.07093283015038292,0.25,0.10042628570164332,0.4445238095238095,0.2817431194318882,0.10929807860221158
+-1,-1,0.36,0.44,0.5,0.7,0.36,0.013403039631924156,0.30666666666666664,0.034108347723976064,0.31200000000000006,0.05787770095682255,0.282,0.10590322051450729,0.43876984126984125,0.3022203221255576,0.12407610278799032

Information-Retrieval_evaluation_NanoNQ_results.csv

@@ -16,3 +16,4 @@ epoch,steps,cosine-Accuracy@1,cosine-Accuracy@3,cosine-Accuracy@5,cosine-Accurac
 -1,-1,0.4,0.56,0.64,0.76,0.4,0.37,0.19333333333333333,0.54,0.14,0.63,0.08199999999999999,0.74,0.505468253968254,0.5529706231693197,0.49719157216910587
 -1,-1,0.36,0.52,0.54,0.66,0.36,0.34,0.18,0.49,0.11600000000000002,0.52,0.07200000000000001,0.64,0.45174603174603184,0.4894245988467554,0.44899308062451565
 -1,-1,0.38,0.52,0.58,0.68,0.38,0.36,0.18666666666666665,0.5,0.128,0.57,0.07400000000000001,0.65,0.4693888888888889,0.5077165748328921,0.4690841393696577
+-1,-1,0.42,0.56,0.62,0.74,0.42,0.39,0.19333333333333333,0.53,0.128,0.59,0.07800000000000001,0.7,0.5129047619047619,0.5454496947645364,0.5024388849786283

Information-Retrieval_evaluation_NanoQuoraRetrieval_results.csv

@@ -16,3 +16,4 @@ epoch,steps,cosine-Accuracy@1,cosine-Accuracy@3,cosine-Accuracy@5,cosine-Accurac
 -1,-1,0.82,0.94,0.96,0.98,0.82,0.7073333333333331,0.38666666666666655,0.9013333333333332,0.24799999999999997,0.9386666666666668,0.132,0.97,0.8768571428571428,0.8889852080178272,0.8552749359959038
 -1,-1,0.84,0.92,0.94,0.96,0.84,0.7273333333333332,0.38666666666666655,0.8853333333333333,0.24799999999999997,0.9226666666666666,0.132,0.9533333333333335,0.884,0.8946028615048153,0.8720468789733496
 -1,-1,0.84,0.94,0.94,0.98,0.84,0.7173333333333332,0.3933333333333333,0.9053333333333333,0.244,0.9159999999999999,0.13,0.9666666666666666,0.8933333333333333,0.9006242971403466,0.8752974569290359
+-1,-1,0.88,0.98,0.98,0.98,0.88,0.7573333333333332,0.4133333333333333,0.9520000000000001,0.25599999999999995,0.9626666666666667,0.13399999999999998,0.9733333333333334,0.9266666666666665,0.9270486783685107,0.9045211951447246

Information-Retrieval_evaluation_NanoSCIDOCS_results.csv

@@ -16,3 +16,4 @@ epoch,steps,cosine-Accuracy@1,cosine-Accuracy@3,cosine-Accuracy@5,cosine-Accurac
 -1,-1,0.48,0.76,0.86,0.9,0.48,0.10066666666666667,0.38666666666666666,0.23866666666666667,0.308,0.31566666666666665,0.20199999999999996,0.41266666666666657,0.6355,0.4089221118591332,0.3233322684896943
 -1,-1,0.48,0.66,0.72,0.88,0.48,0.09700000000000002,0.3533333333333333,0.21866666666666668,0.27599999999999997,0.2826666666666667,0.196,0.4016666666666667,0.6041904761904762,0.39149068607733123,0.3046233392392155
 -1,-1,0.4,0.7,0.74,0.84,0.4,0.08466666666666668,0.36,0.22266666666666665,0.28800000000000003,0.2946666666666667,0.19399999999999998,0.39866666666666667,0.5551666666666666,0.3809616035398974,0.3008044801385356
+-1,-1,0.34,0.6,0.64,0.7,0.34,0.068,0.29333333333333333,0.18066666666666664,0.256,0.26166666666666666,0.16,0.32666666666666666,0.4745,0.3163887471562768,0.25352706065216835

Information-Retrieval_evaluation_NanoSciFact_results.csv

@@ -16,3 +16,4 @@ epoch,steps,cosine-Accuracy@1,cosine-Accuracy@3,cosine-Accuracy@5,cosine-Accurac
 -1,-1,0.58,0.7,0.78,0.84,0.58,0.545,0.26,0.695,0.17199999999999996,0.765,0.09599999999999997,0.84,0.6566666666666667,0.70003914380414,0.6564466588322336
 -1,-1,0.36,0.5,0.54,0.72,0.36,0.325,0.18,0.47,0.128,0.53,0.08399999999999999,0.72,0.45940476190476187,0.516487368710134,0.4597386840212927
 -1,-1,0.42,0.52,0.58,0.76,0.42,0.385,0.19333333333333336,0.495,0.132,0.56,0.08799999999999997,0.76,0.5094523809523809,0.5619609261041664,0.5017938571426928
+-1,-1,0.56,0.7,0.76,0.86,0.56,0.525,0.26,0.685,0.17599999999999993,0.76,0.09799999999999999,0.86,0.6533333333333334,0.7001825387103408,0.6537051282051283

Information-Retrieval_evaluation_NanoTouche2020_results.csv

@@ -16,3 +16,4 @@ epoch,steps,cosine-Accuracy@1,cosine-Accuracy@3,cosine-Accuracy@5,cosine-Accurac
 -1,-1,0.5714285714285714,0.8367346938775511,0.8571428571428571,0.9795918367346939,0.5714285714285714,0.040063326170360514,0.5442176870748299,0.11544512207708836,0.4816326530612246,0.17177237810335402,0.4061224489795918,0.2733086390495724,0.7141966310333658,0.461762616318179,0.35225771491059515
 -1,-1,0.5306122448979592,0.7755102040816326,0.8775510204081632,0.9183673469387755,0.5306122448979592,0.039812115012944765,0.510204081632653,0.11055225097545116,0.4775510204081632,0.16905080857962887,0.4040816326530612,0.2681583411636813,0.6780855199222544,0.45443226263426867,0.3399775749346747
 -1,-1,0.5510204081632653,0.8163265306122449,0.8979591836734694,0.9591836734693877,0.5510204081632653,0.041044891235058834,0.5170068027210885,0.10963776356983411,0.5142857142857142,0.18394414517370525,0.4061224489795918,0.27014866763261464,0.6948979591836734,0.459508446851825,0.3482148481211664
+-1,-1,0.6122448979591837,0.8163265306122449,0.8571428571428571,0.9795918367346939,0.6122448979591837,0.04304363166329577,0.510204081632653,0.11188673681342907,0.4857142857142857,0.1733248139294994,0.4061224489795919,0.2762963017123755,0.7385163589245223,0.4663612119909862,0.3560529751052228

NanoBEIR_evaluation_mean_results.csv

@@ -16,3 +16,4 @@ epoch,steps,cosine-Accuracy@1,cosine-Accuracy@3,cosine-Accuracy@5,cosine-Accurac
 -1,-1,0.5024175824175825,0.6843642072213499,0.7582417582417583,0.832276295133438,0.5024175824175825,0.28963389812500473,0.31109366823652534,0.4378811603360909,0.24166405023547882,0.5110936032233789,0.16462480376766092,0.5773857994874476,0.6092208641698438,0.535007557266555,0.45395149750512326
 -1,-1,0.46543171114599685,0.6458084772370487,0.7090423861852433,0.802951334379906,0.46543171114599685,0.26189341233306396,0.2920669806384092,0.40494270546083383,0.22627315541601256,0.46002438246615396,0.15892935635792782,0.5514284048384084,0.5740535870025666,0.5019038191631572,0.4184487263457932
 -1,-1,0.4639246467817896,0.6381789638932496,0.7059968602825747,0.7999372056514915,0.4639246467817896,0.2574883416047858,0.28848770277341707,0.3967121365566854,0.2275604395604396,0.46334885763578526,0.157701726844584,0.5507731361406536,0.5702974010116868,0.4993937412409821,0.41882901506085035
+-1,-1,0.5347880690737834,0.6966405023547881,0.7597802197802198,0.8415070643642071,0.5347880690737834,0.3146780556111113,0.31155416012558873,0.4549187058418722,0.2425934065934066,0.5222292120818444,0.16570172684458398,0.5950921301303091,0.6331734195509706,0.555988172340117,0.4770806248897853

config.json

@@ -1,45 +1,24 @@
 {
   "architectures": [
-    "ModernBertModel"
+    "BertModel"
   ],
-  "attention_bias": false,
-  "attention_dropout": 0.0,
-  "bos_token_id": 50281,
-  "classifier_activation": "gelu",
-  "classifier_bias": false,
-  "classifier_dropout": 0.0,
-  "classifier_pooling": "mean",
-  "cls_token_id": 50281,
-  "decoder_bias": true,
-  "deterministic_flash_attn": false,
+  "attention_probs_dropout_prob": 0.1,
+  "classifier_dropout": null,
   "dtype": "float32",
-  "embedding_dropout": 0.0,
-  "eos_token_id": 50282,
-  "global_attn_every_n_layers": 3,
-  "global_rope_theta": 160000.0,
-  "gradient_checkpointing": false,
-  "hidden_activation": "gelu",
-  "hidden_size": 768,
-  "initializer_cutoff_factor": 2.0,
+  "hidden_act": "gelu",
+  "hidden_dropout_prob": 0.1,
+  "hidden_size": 384,
   "initializer_range": 0.02,
-  "intermediate_size": 1152,
-  "layer_norm_eps": 1e-05,
-  "local_attention": 128,
-  "local_rope_theta": 10000.0,
-  "max_position_embeddings": 8192,
-  "mlp_bias": false,
-  "mlp_dropout": 0.0,
-  "model_type": "modernbert",
-  "norm_bias": false,
-  "norm_eps": 1e-05,
+  "intermediate_size": 1536,
+  "layer_norm_eps": 1e-12,
+  "max_position_embeddings": 512,
+  "model_type": "bert",
   "num_attention_heads": 12,
-  "num_hidden_layers": 22,
-  "pad_token_id": 50283,
+  "num_hidden_layers": 12,
+  "pad_token_id": 0,
   "position_embedding_type": "absolute",
-  "repad_logits_with_grad": false,
-  "sep_token_id": 50282,
-  "sparse_pred_ignore_index": -100,
-  "sparse_prediction": false,
   "transformers_version": "4.57.3",
-  "vocab_size": 50368
+  "type_vocab_size": 2,
+  "use_cache": true,
+  "vocab_size": 30522
 }

eval/Information-Retrieval_evaluation_NanoMSMARCO_results.csv

@@ -222,3 +222,6 @@ epoch,steps,cosine-Accuracy@1,cosine-Accuracy@3,cosine-Accuracy@5,cosine-Accurac
 0,0,0.44,0.72,0.76,0.86,0.44,0.44,0.24,0.72,0.15200000000000002,0.76,0.08599999999999998,0.86,0.5872222222222222,0.6530251712549636,0.5942230199326107
 0.35561877667140823,250,0.52,0.68,0.78,0.86,0.52,0.52,0.22666666666666668,0.68,0.156,0.78,0.086,0.86,0.619079365079365,0.6765053178911893,0.6246292301558544
 0.7112375533428165,500,0.46,0.64,0.76,0.84,0.46,0.46,0.21333333333333332,0.64,0.15200000000000002,0.76,0.08399999999999999,0.84,0.5786904761904762,0.6415212118347274,0.586056624889745
+0,0,0.44,0.66,0.72,0.8,0.44,0.44,0.22,0.66,0.14400000000000002,0.72,0.08,0.8,0.5702460317460318,0.6259279298239366,0.582094782035277
+0.35561877667140823,250,0.38,0.58,0.64,0.74,0.38,0.38,0.19333333333333333,0.58,0.128,0.64,0.07400000000000001,0.74,0.5030476190476191,0.5606186435988745,0.5136513842537763
+0.7112375533428165,500,0.32,0.56,0.66,0.76,0.32,0.32,0.18666666666666668,0.56,0.132,0.66,0.07600000000000001,0.76,0.474047619047619,0.543482168903518,0.48355956186670473

eval/Information-Retrieval_evaluation_NanoNQ_results.csv

@@ -222,3 +222,6 @@ epoch,steps,cosine-Accuracy@1,cosine-Accuracy@3,cosine-Accuracy@5,cosine-Accurac
 0,0,0.52,0.7,0.78,0.84,0.52,0.49,0.2333333333333333,0.65,0.15600000000000003,0.73,0.08999999999999998,0.8,0.6295238095238095,0.655180139603386,0.6050874426120327
 0.35561877667140823,250,0.4,0.56,0.62,0.72,0.4,0.37,0.19333333333333333,0.53,0.132,0.6,0.07800000000000001,0.69,0.49657936507936495,0.5338040732722256,0.49175952150621727
 0.7112375533428165,500,0.42,0.56,0.62,0.74,0.42,0.39,0.19333333333333333,0.53,0.128,0.59,0.07800000000000001,0.7,0.5129047619047619,0.5454496947645364,0.5024388849786283
+0,0,0.58,0.68,0.74,0.78,0.58,0.55,0.22666666666666666,0.64,0.15600000000000003,0.7,0.086,0.75,0.6453888888888889,0.6582829486426273,0.6272793246081896
+0.35561877667140823,250,0.42,0.54,0.62,0.72,0.42,0.4,0.19333333333333333,0.53,0.136,0.61,0.07800000000000001,0.7,0.5067142857142857,0.550502371708591,0.5119533274942922
+0.7112375533428165,500,0.42,0.56,0.6,0.76,0.42,0.39,0.2,0.55,0.132,0.59,0.08199999999999999,0.74,0.5029365079365079,0.5531504219817556,0.5004093728081938

eval/NanoBEIR_evaluation_mean_results.csv

@@ -222,3 +222,6 @@ epoch,steps,cosine-Accuracy@1,cosine-Accuracy@3,cosine-Accuracy@5,cosine-Accurac
 0,0,0.48,0.71,0.77,0.85,0.48,0.46499999999999997,0.23666666666666664,0.685,0.15400000000000003,0.745,0.08799999999999998,0.8300000000000001,0.6083730158730158,0.6541026554291748,0.5996552312723218
 0.35561877667140823,250,0.46,0.6200000000000001,0.7,0.79,0.46,0.445,0.21000000000000002,0.605,0.14400000000000002,0.69,0.082,0.7749999999999999,0.557829365079365,0.6051546955817074,0.5581943758310358
 0.7112375533428165,500,0.44,0.6000000000000001,0.69,0.79,0.44,0.42500000000000004,0.2033333333333333,0.585,0.14,0.675,0.081,0.77,0.545797619047619,0.5934854532996319,0.5442477549341866
+0,0,0.51,0.67,0.73,0.79,0.51,0.495,0.22333333333333333,0.65,0.15000000000000002,0.71,0.08299999999999999,0.775,0.6078174603174604,0.6421054392332819,0.6046870533217332
+0.35561877667140823,250,0.4,0.56,0.63,0.73,0.4,0.39,0.19333333333333333,0.5549999999999999,0.132,0.625,0.07600000000000001,0.72,0.5048809523809523,0.5555605076537327,0.5128023558740342
+0.7112375533428165,500,0.37,0.56,0.63,0.76,0.37,0.355,0.19333333333333336,0.555,0.132,0.625,0.079,0.75,0.4884920634920634,0.5483162954426368,0.49198446733744927

final_metrics.json

@@ -1,231 +1,231 @@
 {
   "nano_beir": {
-    "NanoClimateFEVER_cosine_accuracy@1": 0.22,
-    "NanoClimateFEVER_cosine_accuracy@3": 0.44,
-    "NanoClimateFEVER_cosine_accuracy@5": 0.52,
-    "NanoClimateFEVER_cosine_accuracy@10": 0.62,
-    "NanoClimateFEVER_cosine_precision@1": 0.22,
-    "NanoClimateFEVER_cosine_precision@3": 0.14666666666666664,
-    "NanoClimateFEVER_cosine_precision@5": 0.12000000000000002,
-    "NanoClimateFEVER_cosine_precision@10": 0.07800000000000001,
-    "NanoClimateFEVER_cosine_recall@1": 0.10166666666666666,
-    "NanoClimateFEVER_cosine_recall@3": 0.22166666666666665,
-    "NanoClimateFEVER_cosine_recall@5": 0.2723333333333333,
-    "NanoClimateFEVER_cosine_recall@10": 0.33899999999999997,
-    "NanoClimateFEVER_cosine_ndcg@10": 0.26147069275043155,
-    "NanoClimateFEVER_cosine_mrr@10": 0.34035714285714286,
-    "NanoClimateFEVER_cosine_map@100": 0.1981781964878655,
-    "NanoDBPedia_cosine_accuracy@1": 0.76,
+    "NanoClimateFEVER_cosine_accuracy@1": 0.28,
+    "NanoClimateFEVER_cosine_accuracy@3": 0.5,
+    "NanoClimateFEVER_cosine_accuracy@5": 0.58,
+    "NanoClimateFEVER_cosine_accuracy@10": 0.68,
+    "NanoClimateFEVER_cosine_precision@1": 0.28,
+    "NanoClimateFEVER_cosine_precision@3": 0.1733333333333333,
+    "NanoClimateFEVER_cosine_precision@5": 0.12,
+    "NanoClimateFEVER_cosine_precision@10": 0.078,
+    "NanoClimateFEVER_cosine_recall@1": 0.11833333333333335,
+    "NanoClimateFEVER_cosine_recall@3": 0.22833333333333333,
+    "NanoClimateFEVER_cosine_recall@5": 0.2633333333333333,
+    "NanoClimateFEVER_cosine_recall@10": 0.34,
+    "NanoClimateFEVER_cosine_ndcg@10": 0.2808903614305741,
+    "NanoClimateFEVER_cosine_mrr@10": 0.40621428571428564,
+    "NanoClimateFEVER_cosine_map@100": 0.22360631242088647,
+    "NanoDBPedia_cosine_accuracy@1": 0.72,
     "NanoDBPedia_cosine_accuracy@3": 0.86,
-    "NanoDBPedia_cosine_accuracy@5": 0.86,
+    "NanoDBPedia_cosine_accuracy@5": 0.9,
     "NanoDBPedia_cosine_accuracy@10": 0.94,
-    "NanoDBPedia_cosine_precision@1": 0.76,
-    "NanoDBPedia_cosine_precision@3": 0.5266666666666666,
-    "NanoDBPedia_cosine_precision@5": 0.44400000000000006,
-    "NanoDBPedia_cosine_precision@10": 0.36800000000000005,
-    "NanoDBPedia_cosine_recall@1": 0.08063316412620315,
-    "NanoDBPedia_cosine_recall@3": 0.14548790439401796,
-    "NanoDBPedia_cosine_recall@5": 0.18155499933794458,
-    "NanoDBPedia_cosine_recall@10": 0.25981708633550893,
-    "NanoDBPedia_cosine_ndcg@10": 0.49239230047602567,
-    "NanoDBPedia_cosine_mrr@10": 0.8098571428571429,
-    "NanoDBPedia_cosine_map@100": 0.32859171288950245,
-    "NanoFEVER_cosine_accuracy@1": 0.58,
-    "NanoFEVER_cosine_accuracy@3": 0.86,
-    "NanoFEVER_cosine_accuracy@5": 0.96,
+    "NanoDBPedia_cosine_precision@1": 0.72,
+    "NanoDBPedia_cosine_precision@3": 0.54,
+    "NanoDBPedia_cosine_precision@5": 0.468,
+    "NanoDBPedia_cosine_precision@10": 0.3940000000000001,
+    "NanoDBPedia_cosine_recall@1": 0.059622019903194524,
+    "NanoDBPedia_cosine_recall@3": 0.14445602791486953,
+    "NanoDBPedia_cosine_recall@5": 0.1935947024951166,
+    "NanoDBPedia_cosine_recall@10": 0.2762600742290385,
+    "NanoDBPedia_cosine_ndcg@10": 0.504599041585888,
+    "NanoDBPedia_cosine_mrr@10": 0.7943333333333333,
+    "NanoDBPedia_cosine_map@100": 0.32904250829639836,
+    "NanoFEVER_cosine_accuracy@1": 0.86,
+    "NanoFEVER_cosine_accuracy@3": 0.94,
+    "NanoFEVER_cosine_accuracy@5": 0.98,
     "NanoFEVER_cosine_accuracy@10": 0.98,
-    "NanoFEVER_cosine_precision@1": 0.58,
-    "NanoFEVER_cosine_precision@3": 0.29333333333333333,
-    "NanoFEVER_cosine_precision@5": 0.19599999999999995,
-    "NanoFEVER_cosine_precision@10": 0.09999999999999998,
-    "NanoFEVER_cosine_recall@1": 0.5366666666666666,
-    "NanoFEVER_cosine_recall@3": 0.8066666666666668,
-    "NanoFEVER_cosine_recall@5": 0.9066666666666667,
-    "NanoFEVER_cosine_recall@10": 0.9266666666666667,
-    "NanoFEVER_cosine_ndcg@10": 0.7606626704790038,
-    "NanoFEVER_cosine_mrr@10": 0.7339999999999999,
-    "NanoFEVER_cosine_map@100": 0.6934942151344591,
-    "NanoFiQA2018_cosine_accuracy@1": 0.34,
-    "NanoFiQA2018_cosine_accuracy@3": 0.48,
-    "NanoFiQA2018_cosine_accuracy@5": 0.58,
-    "NanoFiQA2018_cosine_accuracy@10": 0.68,
-    "NanoFiQA2018_cosine_precision@1": 0.34,
-    "NanoFiQA2018_cosine_precision@3": 0.19333333333333333,
-    "NanoFiQA2018_cosine_precision@5": 0.15200000000000002,
-    "NanoFiQA2018_cosine_precision@10": 0.102,
-    "NanoFiQA2018_cosine_recall@1": 0.19707936507936508,
-    "NanoFiQA2018_cosine_recall@3": 0.28743650793650793,
-    "NanoFiQA2018_cosine_recall@5": 0.37743650793650796,
-    "NanoFiQA2018_cosine_recall@10": 0.46865873015873016,
-    "NanoFiQA2018_cosine_ndcg@10": 0.3701303439254182,
-    "NanoFiQA2018_cosine_mrr@10": 0.432579365079365,
-    "NanoFiQA2018_cosine_map@100": 0.30658113651019275,
-    "NanoHotpotQA_cosine_accuracy@1": 0.66,
-    "NanoHotpotQA_cosine_accuracy@3": 0.76,
-    "NanoHotpotQA_cosine_accuracy@5": 0.82,
-    "NanoHotpotQA_cosine_accuracy@10": 0.86,
-    "NanoHotpotQA_cosine_precision@1": 0.66,
-    "NanoHotpotQA_cosine_precision@3": 0.3133333333333333,
-    "NanoHotpotQA_cosine_precision@5": 0.204,
-    "NanoHotpotQA_cosine_precision@10": 0.11599999999999998,
-    "NanoHotpotQA_cosine_recall@1": 0.33,
-    "NanoHotpotQA_cosine_recall@3": 0.47,
-    "NanoHotpotQA_cosine_recall@5": 0.51,
-    "NanoHotpotQA_cosine_recall@10": 0.58,
-    "NanoHotpotQA_cosine_ndcg@10": 0.5558933426692172,
-    "NanoHotpotQA_cosine_mrr@10": 0.7235238095238097,
-    "NanoHotpotQA_cosine_map@100": 0.48029489574224554,
-    "NanoMSMARCO_cosine_accuracy@1": 0.32,
-    "NanoMSMARCO_cosine_accuracy@3": 0.52,
-    "NanoMSMARCO_cosine_accuracy@5": 0.62,
-    "NanoMSMARCO_cosine_accuracy@10": 0.72,
-    "NanoMSMARCO_cosine_precision@1": 0.32,
-    "NanoMSMARCO_cosine_precision@3": 0.1733333333333333,
-    "NanoMSMARCO_cosine_precision@5": 0.124,
-    "NanoMSMARCO_cosine_precision@10": 0.07200000000000001,
-    "NanoMSMARCO_cosine_recall@1": 0.32,
-    "NanoMSMARCO_cosine_recall@3": 0.52,
-    "NanoMSMARCO_cosine_recall@5": 0.62,
-    "NanoMSMARCO_cosine_recall@10": 0.72,
-    "NanoMSMARCO_cosine_ndcg@10": 0.5182449787606596,
-    "NanoMSMARCO_cosine_mrr@10": 0.45404761904761903,
-    "NanoMSMARCO_cosine_map@100": 0.4681213273999474,
-    "NanoNFCorpus_cosine_accuracy@1": 0.38,
-    "NanoNFCorpus_cosine_accuracy@3": 0.46,
-    "NanoNFCorpus_cosine_accuracy@5": 0.52,
-    "NanoNFCorpus_cosine_accuracy@10": 0.66,
-    "NanoNFCorpus_cosine_precision@1": 0.38,
-    "NanoNFCorpus_cosine_precision@3": 0.3133333333333333,
-    "NanoNFCorpus_cosine_precision@5": 0.3,
-    "NanoNFCorpus_cosine_precision@10": 0.25,
-    "NanoNFCorpus_cosine_recall@1": 0.013257687088254642,
-    "NanoNFCorpus_cosine_recall@3": 0.053362266003216766,
-    "NanoNFCorpus_cosine_recall@5": 0.07093283015038292,
-    "NanoNFCorpus_cosine_recall@10": 0.10042628570164332,
-    "NanoNFCorpus_cosine_ndcg@10": 0.2817431194318882,
-    "NanoNFCorpus_cosine_mrr@10": 0.4445238095238095,
-    "NanoNFCorpus_cosine_map@100": 0.10929807860221158,
-    "NanoNQ_cosine_accuracy@1": 0.38,
-    "NanoNQ_cosine_accuracy@3": 0.52,
-    "NanoNQ_cosine_accuracy@5": 0.58,
-    "NanoNQ_cosine_accuracy@10": 0.68,
-    "NanoNQ_cosine_precision@1": 0.38,
-    "NanoNQ_cosine_precision@3": 0.18666666666666665,
+    "NanoFEVER_cosine_precision@1": 0.86,
+    "NanoFEVER_cosine_precision@3": 0.3133333333333333,
+    "NanoFEVER_cosine_precision@5": 0.19999999999999996,
+    "NanoFEVER_cosine_precision@10": 0.102,
+    "NanoFEVER_cosine_recall@1": 0.7966666666666665,
+    "NanoFEVER_cosine_recall@3": 0.8766666666666666,
+    "NanoFEVER_cosine_recall@5": 0.9266666666666667,
+    "NanoFEVER_cosine_recall@10": 0.9366666666666668,
+    "NanoFEVER_cosine_ndcg@10": 0.8843956236619556,
+    "NanoFEVER_cosine_mrr@10": 0.9066666666666667,
+    "NanoFEVER_cosine_map@100": 0.8506153234682645,
+    "NanoFiQA2018_cosine_accuracy@1": 0.38,
+    "NanoFiQA2018_cosine_accuracy@3": 0.6,
+    "NanoFiQA2018_cosine_accuracy@5": 0.66,
+    "NanoFiQA2018_cosine_accuracy@10": 0.7,
+    "NanoFiQA2018_cosine_precision@1": 0.38,
+    "NanoFiQA2018_cosine_precision@3": 0.25333333333333335,
+    "NanoFiQA2018_cosine_precision@5": 0.19599999999999998,
+    "NanoFiQA2018_cosine_precision@10": 0.10799999999999998,
+    "NanoFiQA2018_cosine_recall@1": 0.19941269841269843,
+    "NanoFiQA2018_cosine_recall@3": 0.38082539682539684,
+    "NanoFiQA2018_cosine_recall@5": 0.46984920634920635,
+    "NanoFiQA2018_cosine_recall@10": 0.5010714285714285,
+    "NanoFiQA2018_cosine_ndcg@10": 0.41915583106695115,
+    "NanoFiQA2018_cosine_mrr@10": 0.4950238095238095,
+    "NanoFiQA2018_cosine_map@100": 0.35716185205965095,
+    "NanoHotpotQA_cosine_accuracy@1": 0.84,
+    "NanoHotpotQA_cosine_accuracy@3": 0.86,
+    "NanoHotpotQA_cosine_accuracy@5": 0.92,
+    "NanoHotpotQA_cosine_accuracy@10": 0.94,
+    "NanoHotpotQA_cosine_precision@1": 0.84,
+    "NanoHotpotQA_cosine_precision@3": 0.3933333333333333,
+    "NanoHotpotQA_cosine_precision@5": 0.25999999999999995,
+    "NanoHotpotQA_cosine_precision@10": 0.13999999999999999,
+    "NanoHotpotQA_cosine_recall@1": 0.42,
+    "NanoHotpotQA_cosine_recall@3": 0.59,
+    "NanoHotpotQA_cosine_recall@5": 0.65,
+    "NanoHotpotQA_cosine_recall@10": 0.7,
+    "NanoHotpotQA_cosine_ndcg@10": 0.6904287289107535,
+    "NanoHotpotQA_cosine_mrr@10": 0.8662222222222223,
+    "NanoHotpotQA_cosine_map@100": 0.6155516771430958,
+    "NanoMSMARCO_cosine_accuracy@1": 0.46,
+    "NanoMSMARCO_cosine_accuracy@3": 0.64,
+    "NanoMSMARCO_cosine_accuracy@5": 0.76,
+    "NanoMSMARCO_cosine_accuracy@10": 0.84,
+    "NanoMSMARCO_cosine_precision@1": 0.46,
+    "NanoMSMARCO_cosine_precision@3": 0.21333333333333332,
+    "NanoMSMARCO_cosine_precision@5": 0.15200000000000002,
+    "NanoMSMARCO_cosine_precision@10": 0.08399999999999999,
+    "NanoMSMARCO_cosine_recall@1": 0.46,
+    "NanoMSMARCO_cosine_recall@3": 0.64,
+    "NanoMSMARCO_cosine_recall@5": 0.76,
+    "NanoMSMARCO_cosine_recall@10": 0.84,
+    "NanoMSMARCO_cosine_ndcg@10": 0.6415212118347274,
+    "NanoMSMARCO_cosine_mrr@10": 0.5786904761904762,
+    "NanoMSMARCO_cosine_map@100": 0.586056624889745,
+    "NanoNFCorpus_cosine_accuracy@1": 0.36,
+    "NanoNFCorpus_cosine_accuracy@3": 0.44,
+    "NanoNFCorpus_cosine_accuracy@5": 0.5,
+    "NanoNFCorpus_cosine_accuracy@10": 0.7,
+    "NanoNFCorpus_cosine_precision@1": 0.36,
+    "NanoNFCorpus_cosine_precision@3": 0.30666666666666664,
+    "NanoNFCorpus_cosine_precision@5": 0.31200000000000006,
+    "NanoNFCorpus_cosine_precision@10": 0.282,
+    "NanoNFCorpus_cosine_recall@1": 0.013403039631924156,
+    "NanoNFCorpus_cosine_recall@3": 0.034108347723976064,
+    "NanoNFCorpus_cosine_recall@5": 0.05787770095682255,
+    "NanoNFCorpus_cosine_recall@10": 0.10590322051450729,
+    "NanoNFCorpus_cosine_ndcg@10": 0.3022203221255576,
+    "NanoNFCorpus_cosine_mrr@10": 0.43876984126984125,
+    "NanoNFCorpus_cosine_map@100": 0.12407610278799032,
+    "NanoNQ_cosine_accuracy@1": 0.42,
+    "NanoNQ_cosine_accuracy@3": 0.56,
+    "NanoNQ_cosine_accuracy@5": 0.62,
+    "NanoNQ_cosine_accuracy@10": 0.74,
+    "NanoNQ_cosine_precision@1": 0.42,
+    "NanoNQ_cosine_precision@3": 0.19333333333333333,
     "NanoNQ_cosine_precision@5": 0.128,
-    "NanoNQ_cosine_precision@10": 0.07400000000000001,
-    "NanoNQ_cosine_recall@1": 0.36,
-    "NanoNQ_cosine_recall@3": 0.5,
-    "NanoNQ_cosine_recall@5": 0.57,
-    "NanoNQ_cosine_recall@10": 0.65,
-    "NanoNQ_cosine_ndcg@10": 0.5077165748328921,
-    "NanoNQ_cosine_mrr@10": 0.4693888888888889,
-    "NanoNQ_cosine_map@100": 0.4690841393696577,
-    "NanoQuoraRetrieval_cosine_accuracy@1": 0.84,
-    "NanoQuoraRetrieval_cosine_accuracy@3": 0.94,
-    "NanoQuoraRetrieval_cosine_accuracy@5": 0.94,
+    "NanoNQ_cosine_precision@10": 0.07800000000000001,
+    "NanoNQ_cosine_recall@1": 0.39,
+    "NanoNQ_cosine_recall@3": 0.53,
+    "NanoNQ_cosine_recall@5": 0.59,
+    "NanoNQ_cosine_recall@10": 0.7,
+    "NanoNQ_cosine_ndcg@10": 0.5454496947645364,
+    "NanoNQ_cosine_mrr@10": 0.5129047619047619,
+    "NanoNQ_cosine_map@100": 0.5024388849786283,
+    "NanoQuoraRetrieval_cosine_accuracy@1": 0.88,
+    "NanoQuoraRetrieval_cosine_accuracy@3": 0.98,
+    "NanoQuoraRetrieval_cosine_accuracy@5": 0.98,
     "NanoQuoraRetrieval_cosine_accuracy@10": 0.98,
-    "NanoQuoraRetrieval_cosine_precision@1": 0.84,
-    "NanoQuoraRetrieval_cosine_precision@3": 0.3933333333333333,
-    "NanoQuoraRetrieval_cosine_precision@5": 0.244,
-    "NanoQuoraRetrieval_cosine_precision@10": 0.13,
-    "NanoQuoraRetrieval_cosine_recall@1": 0.7173333333333332,
-    "NanoQuoraRetrieval_cosine_recall@3": 0.9053333333333333,
-    "NanoQuoraRetrieval_cosine_recall@5": 0.9159999999999999,
-    "NanoQuoraRetrieval_cosine_recall@10": 0.9666666666666666,
-    "NanoQuoraRetrieval_cosine_ndcg@10": 0.9006242971403466,
-    "NanoQuoraRetrieval_cosine_mrr@10": 0.8933333333333333,
-    "NanoQuoraRetrieval_cosine_map@100": 0.8752974569290359,
-    "NanoSCIDOCS_cosine_accuracy@1": 0.4,
-    "NanoSCIDOCS_cosine_accuracy@3": 0.7,
-    "NanoSCIDOCS_cosine_accuracy@5": 0.74,
-    "NanoSCIDOCS_cosine_accuracy@10": 0.84,
-    "NanoSCIDOCS_cosine_precision@1": 0.4,
-    "NanoSCIDOCS_cosine_precision@3": 0.36,
-    "NanoSCIDOCS_cosine_precision@5": 0.28800000000000003,
-    "NanoSCIDOCS_cosine_precision@10": 0.19399999999999998,
-    "NanoSCIDOCS_cosine_recall@1": 0.08466666666666668,
-    "NanoSCIDOCS_cosine_recall@3": 0.22266666666666665,
-    "NanoSCIDOCS_cosine_recall@5": 0.2946666666666667,
-    "NanoSCIDOCS_cosine_recall@10": 0.39866666666666667,
-    "NanoSCIDOCS_cosine_ndcg@10": 0.3809616035398974,
-    "NanoSCIDOCS_cosine_mrr@10": 0.5551666666666666,
-    "NanoSCIDOCS_cosine_map@100": 0.3008044801385356,
-    "NanoArguAna_cosine_accuracy@1": 0.18,
-    "NanoArguAna_cosine_accuracy@3": 0.42,
-    "NanoArguAna_cosine_accuracy@5": 0.56,
-    "NanoArguAna_cosine_accuracy@10": 0.72,
-    "NanoArguAna_cosine_precision@1": 0.18,
-    "NanoArguAna_cosine_precision@3": 0.13999999999999999,
-    "NanoArguAna_cosine_precision@5": 0.11200000000000002,
-    "NanoArguAna_cosine_precision@10": 0.07200000000000001,
-    "NanoArguAna_cosine_recall@1": 0.18,
-    "NanoArguAna_cosine_recall@3": 0.42,
-    "NanoArguAna_cosine_recall@5": 0.56,
-    "NanoArguAna_cosine_recall@10": 0.72,
-    "NanoArguAna_cosine_ndcg@10": 0.4408093391709953,
-    "NanoArguAna_cosine_mrr@10": 0.3527380952380952,
-    "NanoArguAna_cosine_map@100": 0.36502285132354245,
-    "NanoSciFact_cosine_accuracy@1": 0.42,
-    "NanoSciFact_cosine_accuracy@3": 0.52,
-    "NanoSciFact_cosine_accuracy@5": 0.58,
-    "NanoSciFact_cosine_accuracy@10": 0.76,
-    "NanoSciFact_cosine_precision@1": 0.42,
-    "NanoSciFact_cosine_precision@3": 0.19333333333333336,
-    "NanoSciFact_cosine_precision@5": 0.132,
-    "NanoSciFact_cosine_precision@10": 0.08799999999999997,
-    "NanoSciFact_cosine_recall@1": 0.385,
-    "NanoSciFact_cosine_recall@3": 0.495,
-    "NanoSciFact_cosine_recall@5": 0.56,
-    "NanoSciFact_cosine_recall@10": 0.76,
-    "NanoSciFact_cosine_ndcg@10": 0.5619609261041664,
-    "NanoSciFact_cosine_mrr@10": 0.5094523809523809,
-    "NanoSciFact_cosine_map@100": 0.5017938571426928,
-    "NanoTouche2020_cosine_accuracy@1": 0.5510204081632653,
+    "NanoQuoraRetrieval_cosine_precision@1": 0.88,
+    "NanoQuoraRetrieval_cosine_precision@3": 0.4133333333333333,
+    "NanoQuoraRetrieval_cosine_precision@5": 0.25599999999999995,
+    "NanoQuoraRetrieval_cosine_precision@10": 0.13399999999999998,
+    "NanoQuoraRetrieval_cosine_recall@1": 0.7573333333333332,
+    "NanoQuoraRetrieval_cosine_recall@3": 0.9520000000000001,
+    "NanoQuoraRetrieval_cosine_recall@5": 0.9626666666666667,
+    "NanoQuoraRetrieval_cosine_recall@10": 0.9733333333333334,
+    "NanoQuoraRetrieval_cosine_ndcg@10": 0.9270486783685107,
+    "NanoQuoraRetrieval_cosine_mrr@10": 0.9266666666666665,
+    "NanoQuoraRetrieval_cosine_map@100": 0.9045211951447246,
+    "NanoSCIDOCS_cosine_accuracy@1": 0.34,
+    "NanoSCIDOCS_cosine_accuracy@3": 0.6,
+    "NanoSCIDOCS_cosine_accuracy@5": 0.64,
+    "NanoSCIDOCS_cosine_accuracy@10": 0.7,
+    "NanoSCIDOCS_cosine_precision@1": 0.34,
+    "NanoSCIDOCS_cosine_precision@3": 0.29333333333333333,
+    "NanoSCIDOCS_cosine_precision@5": 0.256,
+    "NanoSCIDOCS_cosine_precision@10": 0.16,
+    "NanoSCIDOCS_cosine_recall@1": 0.068,
+    "NanoSCIDOCS_cosine_recall@3": 0.18066666666666664,
+    "NanoSCIDOCS_cosine_recall@5": 0.26166666666666666,
+    "NanoSCIDOCS_cosine_recall@10": 0.32666666666666666,
+    "NanoSCIDOCS_cosine_ndcg@10": 0.3163887471562768,
+    "NanoSCIDOCS_cosine_mrr@10": 0.4745,
+    "NanoSCIDOCS_cosine_map@100": 0.25352706065216835,
+    "NanoArguAna_cosine_accuracy@1": 0.24,
+    "NanoArguAna_cosine_accuracy@3": 0.56,
+    "NanoArguAna_cosine_accuracy@5": 0.72,
+    "NanoArguAna_cosine_accuracy@10": 0.9,
+    "NanoArguAna_cosine_precision@1": 0.24,
+    "NanoArguAna_cosine_precision@3": 0.18666666666666668,
+    "NanoArguAna_cosine_precision@5": 0.14400000000000002,
+    "NanoArguAna_cosine_precision@10": 0.08999999999999998,
+    "NanoArguAna_cosine_recall@1": 0.24,
+    "NanoArguAna_cosine_recall@3": 0.56,
+    "NanoArguAna_cosine_recall@5": 0.72,
+    "NanoArguAna_cosine_recall@10": 0.9,
+    "NanoArguAna_cosine_ndcg@10": 0.5492042488144615,
+    "NanoArguAna_cosine_mrr@10": 0.4394126984126983,
+    "NanoArguAna_cosine_map@100": 0.44569247841530457,
+    "NanoSciFact_cosine_accuracy@1": 0.56,
+    "NanoSciFact_cosine_accuracy@3": 0.7,
+    "NanoSciFact_cosine_accuracy@5": 0.76,
+    "NanoSciFact_cosine_accuracy@10": 0.86,
+    "NanoSciFact_cosine_precision@1": 0.56,
+    "NanoSciFact_cosine_precision@3": 0.26,
+    "NanoSciFact_cosine_precision@5": 0.17599999999999993,
+    "NanoSciFact_cosine_precision@10": 0.09799999999999999,
+    "NanoSciFact_cosine_recall@1": 0.525,
+    "NanoSciFact_cosine_recall@3": 0.685,
+    "NanoSciFact_cosine_recall@5": 0.76,
+    "NanoSciFact_cosine_recall@10": 0.86,
+    "NanoSciFact_cosine_ndcg@10": 0.7001825387103408,
+    "NanoSciFact_cosine_mrr@10": 0.6533333333333334,
+    "NanoSciFact_cosine_map@100": 0.6537051282051283,
+    "NanoTouche2020_cosine_accuracy@1": 0.6122448979591837,
     "NanoTouche2020_cosine_accuracy@3": 0.8163265306122449,
-    "NanoTouche2020_cosine_accuracy@5": 0.8979591836734694,
-    "NanoTouche2020_cosine_accuracy@10": 0.9591836734693877,
-    "NanoTouche2020_cosine_precision@1": 0.5510204081632653,
-    "NanoTouche2020_cosine_precision@3": 0.5170068027210885,
-    "NanoTouche2020_cosine_precision@5": 0.5142857142857142,
-    "NanoTouche2020_cosine_precision@10": 0.4061224489795918,
-    "NanoTouche2020_cosine_recall@1": 0.041044891235058834,
-    "NanoTouche2020_cosine_recall@3": 0.10963776356983411,
-    "NanoTouche2020_cosine_recall@5": 0.18394414517370525,
-    "NanoTouche2020_cosine_recall@10": 0.27014866763261464,
-    "NanoTouche2020_cosine_ndcg@10": 0.459508446851825,
-    "NanoTouche2020_cosine_mrr@10": 0.6948979591836734,
-    "NanoTouche2020_cosine_map@100": 0.3482148481211664,
-    "NanoBEIR_mean_cosine_accuracy@1": 0.4639246467817896,
-    "NanoBEIR_mean_cosine_accuracy@3": 0.6381789638932496,
-    "NanoBEIR_mean_cosine_accuracy@5": 0.7059968602825747,
-    "NanoBEIR_mean_cosine_accuracy@10": 0.7999372056514915,
-    "NanoBEIR_mean_cosine_precision@1": 0.4639246467817896,
-    "NanoBEIR_mean_cosine_precision@3": 0.28848770277341707,
-    "NanoBEIR_mean_cosine_precision@5": 0.2275604395604396,
-    "NanoBEIR_mean_cosine_precision@10": 0.157701726844584,
-    "NanoBEIR_mean_cosine_recall@1": 0.2574883416047858,
-    "NanoBEIR_mean_cosine_recall@3": 0.3967121365566854,
-    "NanoBEIR_mean_cosine_recall@5": 0.46334885763578526,
-    "NanoBEIR_mean_cosine_recall@10": 0.5507731361406536,
-    "NanoBEIR_mean_cosine_ndcg@10": 0.4993937412409821,
-    "NanoBEIR_mean_cosine_mrr@10": 0.5702974010116868,
-    "NanoBEIR_mean_cosine_map@100": 0.41882901506085035
+    "NanoTouche2020_cosine_accuracy@5": 0.8571428571428571,
+    "NanoTouche2020_cosine_accuracy@10": 0.9795918367346939,
+    "NanoTouche2020_cosine_precision@1": 0.6122448979591837,
+    "NanoTouche2020_cosine_precision@3": 0.510204081632653,
+    "NanoTouche2020_cosine_precision@5": 0.4857142857142857,
+    "NanoTouche2020_cosine_precision@10": 0.4061224489795919,
+    "NanoTouche2020_cosine_recall@1": 0.04304363166329577,
+    "NanoTouche2020_cosine_recall@3": 0.11188673681342907,
+    "NanoTouche2020_cosine_recall@5": 0.1733248139294994,
+    "NanoTouche2020_cosine_recall@10": 0.2762963017123755,
+    "NanoTouche2020_cosine_ndcg@10": 0.4663612119909862,
+    "NanoTouche2020_cosine_mrr@10": 0.7385163589245223,
+    "NanoTouche2020_cosine_map@100": 0.3560529751052228,
+    "NanoBEIR_mean_cosine_accuracy@1": 0.5347880690737834,
+    "NanoBEIR_mean_cosine_accuracy@3": 0.6966405023547881,
+    "NanoBEIR_mean_cosine_accuracy@5": 0.7597802197802198,
+    "NanoBEIR_mean_cosine_accuracy@10": 0.8415070643642071,
+    "NanoBEIR_mean_cosine_precision@1": 0.5347880690737834,
+    "NanoBEIR_mean_cosine_precision@3": 0.31155416012558873,
+    "NanoBEIR_mean_cosine_precision@5": 0.2425934065934066,
+    "NanoBEIR_mean_cosine_precision@10": 0.16570172684458398,
+    "NanoBEIR_mean_cosine_recall@1": 0.3146780556111113,
+    "NanoBEIR_mean_cosine_recall@3": 0.4549187058418722,
+    "NanoBEIR_mean_cosine_recall@5": 0.5222292120818444,
+    "NanoBEIR_mean_cosine_recall@10": 0.5950921301303091,
+    "NanoBEIR_mean_cosine_ndcg@10": 0.555988172340117,
+    "NanoBEIR_mean_cosine_mrr@10": 0.6331734195509706,
+    "NanoBEIR_mean_cosine_map@100": 0.4770806248897853
   },
   "beir_touche2020": {
-    "BeIR-touche2020-subset-test_cosine_accuracy@1": 0.7142857142857143,
+    "BeIR-touche2020-subset-test_cosine_accuracy@1": 0.6938775510204082,
     "BeIR-touche2020-subset-test_cosine_accuracy@3": 0.9591836734693877,
     "BeIR-touche2020-subset-test_cosine_accuracy@5": 1.0,
     "BeIR-touche2020-subset-test_cosine_accuracy@10": 1.0,
-    "BeIR-touche2020-subset-test_cosine_precision@1": 0.7142857142857143,
-    "BeIR-touche2020-subset-test_cosine_precision@3": 0.7006802721088435,
-    "BeIR-touche2020-subset-test_cosine_precision@5": 0.689795918367347,
-    "BeIR-touche2020-subset-test_cosine_precision@10": 0.6306122448979592,
-    "BeIR-touche2020-subset-test_cosine_recall@1": 0.015880404635022063,
-    "BeIR-touche2020-subset-test_cosine_recall@3": 0.04648085765992207,
-    "BeIR-touche2020-subset-test_cosine_recall@5": 0.07606536341929133,
-    "BeIR-touche2020-subset-test_cosine_recall@10": 0.13922476411011186,
-    "BeIR-touche2020-subset-test_cosine_ndcg@10": 0.6529991617140374,
-    "BeIR-touche2020-subset-test_cosine_mrr@10": 0.8435374149659863,
-    "BeIR-touche2020-subset-test_cosine_map@100": 0.2850802517047579
+    "BeIR-touche2020-subset-test_cosine_precision@1": 0.6938775510204082,
+    "BeIR-touche2020-subset-test_cosine_precision@3": 0.7414965986394558,
+    "BeIR-touche2020-subset-test_cosine_precision@5": 0.7387755102040818,
+    "BeIR-touche2020-subset-test_cosine_precision@10": 0.6469387755102041,
+    "BeIR-touche2020-subset-test_cosine_recall@1": 0.015318508143902818,
+    "BeIR-touche2020-subset-test_cosine_recall@3": 0.049323085700107676,
+    "BeIR-touche2020-subset-test_cosine_recall@5": 0.08177075427838504,
+    "BeIR-touche2020-subset-test_cosine_recall@10": 0.1429596074128849,
+    "BeIR-touche2020-subset-test_cosine_ndcg@10": 0.6732632834630611,
+    "BeIR-touche2020-subset-test_cosine_mrr@10": 0.8333333333333334,
+    "BeIR-touche2020-subset-test_cosine_map@100": 0.3042931320883796
   }
 }

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:6dbfbd3f605d86410636c11b855843a06423342feac5490fe3f8bd1de0241256
-size 596070136
+oid sha256:81c556da52d2198a06bb1cfc822ca14a72588587952bd029fe4dd7c212173639
+size 133462128

special_tokens_map.json

@@ -8,7 +8,7 @@
   },
   "mask_token": {
     "content": "[MASK]",
-    "lstrip": true,
+    "lstrip": false,
     "normalized": false,
     "rstrip": false,
     "single_word": false

tokenizer.json

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:218484396a9d08293b108b0e5ea31e0a1b7c801dcbed35a821deb392d2fe9bb4
-size 3583485
+oid sha256:2fc687b11de0bc1b3d8348f92e3b49ef1089a621506c7661fbf3248fcd54947e
+size 711649

tokenizer_config.json

@@ -1,230 +1,14 @@
 {
   "added_tokens_decoder": {
     "0": {
-      "content": "|||IP_ADDRESS|||",
-      "lstrip": false,
-      "normalized": true,
-      "rstrip": false,
-      "single_word": false,
-      "special": false
-    },
-    "1": {
-      "content": "<|padding|>",
-      "lstrip": false,
-      "normalized": false,
-      "rstrip": false,
-      "single_word": false,
-      "special": true
-    },
-    "50254": {
-      "content": "                        ",
-      "lstrip": false,
-      "normalized": true,
-      "rstrip": false,
-      "single_word": false,
-      "special": false
-    },
-    "50255": {
-      "content": "                       ",
-      "lstrip": false,
-      "normalized": true,
-      "rstrip": false,
-      "single_word": false,
-      "special": false
-    },
-    "50256": {
-      "content": "                      ",
-      "lstrip": false,
-      "normalized": true,
-      "rstrip": false,
-      "single_word": false,
-      "special": false
-    },
-    "50257": {
-      "content": "                     ",
-      "lstrip": false,
-      "normalized": true,
-      "rstrip": false,
-      "single_word": false,
-      "special": false
-    },
-    "50258": {
-      "content": "                    ",
-      "lstrip": false,
-      "normalized": true,
-      "rstrip": false,
-      "single_word": false,
-      "special": false
-    },
-    "50259": {
-      "content": "                   ",
-      "lstrip": false,
-      "normalized": true,
-      "rstrip": false,
-      "single_word": false,
-      "special": false
-    },
-    "50260": {
-      "content": "                  ",
-      "lstrip": false,
-      "normalized": true,
-      "rstrip": false,
-      "single_word": false,
-      "special": false
-    },
-    "50261": {
-      "content": "                 ",
-      "lstrip": false,
-      "normalized": true,
-      "rstrip": false,
-      "single_word": false,
-      "special": false
-    },
-    "50262": {
-      "content": "                ",
-      "lstrip": false,
-      "normalized": true,
-      "rstrip": false,
-      "single_word": false,
-      "special": false
-    },
-    "50263": {
-      "content": "               ",
-      "lstrip": false,
-      "normalized": true,
-      "rstrip": false,
-      "single_word": false,
-      "special": false
-    },
-    "50264": {
-      "content": "              ",
-      "lstrip": false,
-      "normalized": true,
-      "rstrip": false,
-      "single_word": false,
-      "special": false
-    },
-    "50265": {
-      "content": "             ",
-      "lstrip": false,
-      "normalized": true,
-      "rstrip": false,
-      "single_word": false,
-      "special": false
-    },
-    "50266": {
-      "content": "            ",
-      "lstrip": false,
-      "normalized": true,
-      "rstrip": false,
-      "single_word": false,
-      "special": false
-    },
-    "50267": {
-      "content": "           ",
-      "lstrip": false,
-      "normalized": true,
-      "rstrip": false,
-      "single_word": false,
-      "special": false
-    },
-    "50268": {
-      "content": "          ",
-      "lstrip": false,
-      "normalized": true,
-      "rstrip": false,
-      "single_word": false,
-      "special": false
-    },
-    "50269": {
-      "content": "         ",
-      "lstrip": false,
-      "normalized": true,
-      "rstrip": false,
-      "single_word": false,
-      "special": false
-    },
-    "50270": {
-      "content": "        ",
-      "lstrip": false,
-      "normalized": true,
-      "rstrip": false,
-      "single_word": false,
-      "special": false
-    },
-    "50271": {
-      "content": "       ",
-      "lstrip": false,
-      "normalized": true,
-      "rstrip": false,
-      "single_word": false,
-      "special": false
-    },
-    "50272": {
-      "content": "      ",
-      "lstrip": false,
-      "normalized": true,
-      "rstrip": false,
-      "single_word": false,
-      "special": false
-    },
-    "50273": {
-      "content": "     ",
-      "lstrip": false,
-      "normalized": true,
-      "rstrip": false,
-      "single_word": false,
-      "special": false
-    },
-    "50274": {
-      "content": "    ",
-      "lstrip": false,
-      "normalized": true,
-      "rstrip": false,
-      "single_word": false,
-      "special": false
-    },
-    "50275": {
-      "content": "   ",
-      "lstrip": false,
-      "normalized": true,
-      "rstrip": false,
-      "single_word": false,
-      "special": false
-    },
-    "50276": {
-      "content": "  ",
-      "lstrip": false,
-      "normalized": true,
-      "rstrip": false,
-      "single_word": false,
-      "special": false
-    },
-    "50277": {
-      "content": "|||EMAIL_ADDRESS|||",
-      "lstrip": false,
-      "normalized": true,
-      "rstrip": false,
-      "single_word": false,
-      "special": false
-    },
-    "50278": {
-      "content": "|||PHONE_NUMBER|||",
-      "lstrip": false,
-      "normalized": true,
-      "rstrip": false,
-      "single_word": false,
-      "special": false
-    },
-    "50279": {
-      "content": "<|endoftext|>",
+      "content": "[PAD]",
       "lstrip": false,
       "normalized": false,
       "rstrip": false,
       "single_word": false,
       "special": true
     },
-    "50280": {
+    "100": {
       "content": "[UNK]",
       "lstrip": false,
       "normalized": false,
@@ -232,7 +16,7 @@
       "single_word": false,
       "special": true
     },
-    "50281": {
+    "101": {
       "content": "[CLS]",
       "lstrip": false,
       "normalized": false,
@@ -240,7 +24,7 @@
       "single_word": false,
       "special": true
     },
-    "50282": {
+    "102": {
       "content": "[SEP]",
       "lstrip": false,
       "normalized": false,
@@ -248,698 +32,34 @@
       "single_word": false,
       "special": true
     },
-    "50283": {
-      "content": "[PAD]",
-      "lstrip": false,
-      "normalized": false,
-      "rstrip": false,
-      "single_word": false,
-      "special": true
-    },
-    "50284": {
+    "103": {
       "content": "[MASK]",
-      "lstrip": true,
+      "lstrip": false,
       "normalized": false,
       "rstrip": false,
       "single_word": false,
       "special": true
-    },
-    "50285": {
-      "content": "[unused0]",
-      "lstrip": false,
-      "normalized": true,
-      "rstrip": false,
-      "single_word": false,
-      "special": false
-    },
-    "50286": {
-      "content": "[unused1]",
-      "lstrip": false,
-      "normalized": true,
-      "rstrip": false,
-      "single_word": false,
-      "special": false
-    },
-    "50287": {
-      "content": "[unused2]",
-      "lstrip": false,
-      "normalized": true,
-      "rstrip": false,
-      "single_word": false,
-      "special": false
-    },
-    "50288": {
-      "content": "[unused3]",
-      "lstrip": false,
-      "normalized": true,
-      "rstrip": false,
-      "single_word": false,
-      "special": false
-    },
-    "50289": {
-      "content": "[unused4]",
-      "lstrip": false,
-      "normalized": true,
-      "rstrip": false,
-      "single_word": false,
-      "special": false
-    },
-    "50290": {
-      "content": "[unused5]",
-      "lstrip": false,
-      "normalized": true,
-      "rstrip": false,
-      "single_word": false,
-      "special": false
-    },
-    "50291": {
-      "content": "[unused6]",
-      "lstrip": false,
-      "normalized": true,
-      "rstrip": false,
-      "single_word": false,
-      "special": false
-    },
-    "50292": {
-      "content": "[unused7]",
-      "lstrip": false,
-      "normalized": true,
-      "rstrip": false,
-      "single_word": false,
-      "special": false
-    },
-    "50293": {
-      "content": "[unused8]",
-      "lstrip": false,
-      "normalized": true,
-      "rstrip": false,
-      "single_word": false,
-      "special": false
-    },
-    "50294": {
-      "content": "[unused9]",
-      "lstrip": false,
-      "normalized": true,
-      "rstrip": false,
-      "single_word": false,
-      "special": false
-    },
-    "50295": {
-      "content": "[unused10]",
-      "lstrip": false,
-      "normalized": true,
-      "rstrip": false,
-      "single_word": false,
-      "special": false
-    },
-    "50296": {
-      "content": "[unused11]",
-      "lstrip": false,
-      "normalized": true,
-      "rstrip": false,
-      "single_word": false,
-      "special": false
-    },
-    "50297": {
-      "content": "[unused12]",
-      "lstrip": false,
-      "normalized": true,
-      "rstrip": false,
-      "single_word": false,
-      "special": false
-    },
-    "50298": {
-      "content": "[unused13]",
-      "lstrip": false,
-      "normalized": true,
-      "rstrip": false,
-      "single_word": false,
-      "special": false
-    },
-    "50299": {
-      "content": "[unused14]",
-      "lstrip": false,
-      "normalized": true,
-      "rstrip": false,
-      "single_word": false,
-      "special": false
-    },
-    "50300": {
-      "content": "[unused15]",
-      "lstrip": false,
-      "normalized": true,
-      "rstrip": false,
-      "single_word": false,
-      "special": false
-    },
-    "50301": {
-      "content": "[unused16]",
-      "lstrip": false,
-      "normalized": true,
-      "rstrip": false,
-      "single_word": false,
-      "special": false
-    },
-    "50302": {
-      "content": "[unused17]",
-      "lstrip": false,
-      "normalized": true,
-      "rstrip": false,
-      "single_word": false,
-      "special": false
-    },
-    "50303": {
-      "content": "[unused18]",
-      "lstrip": false,
-      "normalized": true,
-      "rstrip": false,
-      "single_word": false,
-      "special": false
-    },
-    "50304": {
-      "content": "[unused19]",
-      "lstrip": false,
-      "normalized": true,
-      "rstrip": false,
-      "single_word": false,
-      "special": false
-    },
-    "50305": {
-      "content": "[unused20]",
-      "lstrip": false,
-      "normalized": true,
-      "rstrip": false,
-      "single_word": false,
-      "special": false
-    },
-    "50306": {
-      "content": "[unused21]",
-      "lstrip": false,
-      "normalized": true,
-      "rstrip": false,
-      "single_word": false,
-      "special": false
-    },
-    "50307": {
-      "content": "[unused22]",
-      "lstrip": false,
-      "normalized": true,
-      "rstrip": false,
-      "single_word": false,
-      "special": false
-    },
-    "50308": {
-      "content": "[unused23]",
-      "lstrip": false,
-      "normalized": true,
-      "rstrip": false,
-      "single_word": false,
-      "special": false
-    },
-    "50309": {
-      "content": "[unused24]",
-      "lstrip": false,
-      "normalized": true,
-      "rstrip": false,
-      "single_word": false,
-      "special": false
-    },
-    "50310": {
-      "content": "[unused25]",
-      "lstrip": false,
-      "normalized": true,
-      "rstrip": false,
-      "single_word": false,
-      "special": false
-    },
-    "50311": {
-      "content": "[unused26]",
-      "lstrip": false,
-      "normalized": true,
-      "rstrip": false,
-      "single_word": false,
-      "special": false
-    },
-    "50312": {
-      "content": "[unused27]",
-      "lstrip": false,
-      "normalized": true,
-      "rstrip": false,
-      "single_word": false,
-      "special": false
-    },
-    "50313": {
-      "content": "[unused28]",
-      "lstrip": false,
-      "normalized": true,
-      "rstrip": false,
-      "single_word": false,
-      "special": false
-    },
-    "50314": {
-      "content": "[unused29]",
-      "lstrip": false,
-      "normalized": true,
-      "rstrip": false,
-      "single_word": false,
-      "special": false
-    },
-    "50315": {
-      "content": "[unused30]",
-      "lstrip": false,
-      "normalized": true,
-      "rstrip": false,
-      "single_word": false,
-      "special": false
-    },
-    "50316": {
-      "content": "[unused31]",
-      "lstrip": false,
-      "normalized": true,
-      "rstrip": false,
-      "single_word": false,
-      "special": false
-    },
-    "50317": {
-      "content": "[unused32]",
-      "lstrip": false,
-      "normalized": true,
-      "rstrip": false,
-      "single_word": false,
-      "special": false
-    },
-    "50318": {
-      "content": "[unused33]",
-      "lstrip": false,
-      "normalized": true,
-      "rstrip": false,
-      "single_word": false,
-      "special": false
-    },
-    "50319": {
-      "content": "[unused34]",
-      "lstrip": false,
-      "normalized": true,
-      "rstrip": false,
-      "single_word": false,
-      "special": false
-    },
-    "50320": {
-      "content": "[unused35]",
-      "lstrip": false,
-      "normalized": true,
-      "rstrip": false,
-      "single_word": false,
-      "special": false
-    },
-    "50321": {
-      "content": "[unused36]",
-      "lstrip": false,
-      "normalized": true,
-      "rstrip": false,
-      "single_word": false,
-      "special": false
-    },
-    "50322": {
-      "content": "[unused37]",
-      "lstrip": false,
-      "normalized": true,
-      "rstrip": false,
-      "single_word": false,
-      "special": false
-    },
-    "50323": {
-      "content": "[unused38]",
-      "lstrip": false,
-      "normalized": true,
-      "rstrip": false,
-      "single_word": false,
-      "special": false
-    },
-    "50324": {
-      "content": "[unused39]",
-      "lstrip": false,
-      "normalized": true,
-      "rstrip": false,
-      "single_word": false,
-      "special": false
-    },
-    "50325": {
-      "content": "[unused40]",
-      "lstrip": false,
-      "normalized": true,
-      "rstrip": false,
-      "single_word": false,
-      "special": false
-    },
-    "50326": {
-      "content": "[unused41]",
-      "lstrip": false,
-      "normalized": true,
-      "rstrip": false,
-      "single_word": false,
-      "special": false
-    },
-    "50327": {
-      "content": "[unused42]",
-      "lstrip": false,
-      "normalized": true,
-      "rstrip": false,
-      "single_word": false,
-      "special": false
-    },
-    "50328": {
-      "content": "[unused43]",
-      "lstrip": false,
-      "normalized": true,
-      "rstrip": false,
-      "single_word": false,
-      "special": false
-    },
-    "50329": {
-      "content": "[unused44]",
-      "lstrip": false,
-      "normalized": true,
-      "rstrip": false,
-      "single_word": false,
-      "special": false
-    },
-    "50330": {
-      "content": "[unused45]",
-      "lstrip": false,
-      "normalized": true,
-      "rstrip": false,
-      "single_word": false,
-      "special": false
-    },
-    "50331": {
-      "content": "[unused46]",
-      "lstrip": false,
-      "normalized": true,
-      "rstrip": false,
-      "single_word": false,
-      "special": false
-    },
-    "50332": {
-      "content": "[unused47]",
-      "lstrip": false,
-      "normalized": true,
-      "rstrip": false,
-      "single_word": false,
-      "special": false
-    },
-    "50333": {
-      "content": "[unused48]",
-      "lstrip": false,
-      "normalized": true,
-      "rstrip": false,
-      "single_word": false,
-      "special": false
-    },
-    "50334": {
-      "content": "[unused49]",
-      "lstrip": false,
-      "normalized": true,
-      "rstrip": false,
-      "single_word": false,
-      "special": false
-    },
-    "50335": {
-      "content": "[unused50]",
-      "lstrip": false,
-      "normalized": true,
-      "rstrip": false,
-      "single_word": false,
-      "special": false
-    },
-    "50336": {
-      "content": "[unused51]",
-      "lstrip": false,
-      "normalized": true,
-      "rstrip": false,
-      "single_word": false,
-      "special": false
-    },
-    "50337": {
-      "content": "[unused52]",
-      "lstrip": false,
-      "normalized": true,
-      "rstrip": false,
-      "single_word": false,
-      "special": false
-    },
-    "50338": {
-      "content": "[unused53]",
-      "lstrip": false,
-      "normalized": true,
-      "rstrip": false,
-      "single_word": false,
-      "special": false
-    },
-    "50339": {
-      "content": "[unused54]",
-      "lstrip": false,
-      "normalized": true,
-      "rstrip": false,
-      "single_word": false,
-      "special": false
-    },
-    "50340": {
-      "content": "[unused55]",
-      "lstrip": false,
-      "normalized": true,
-      "rstrip": false,
-      "single_word": false,
-      "special": false
-    },
-    "50341": {
-      "content": "[unused56]",
-      "lstrip": false,
-      "normalized": true,
-      "rstrip": false,
-      "single_word": false,
-      "special": false
-    },
-    "50342": {
-      "content": "[unused57]",
-      "lstrip": false,
-      "normalized": true,
-      "rstrip": false,
-      "single_word": false,
-      "special": false
-    },
-    "50343": {
-      "content": "[unused58]",
-      "lstrip": false,
-      "normalized": true,
-      "rstrip": false,
-      "single_word": false,
-      "special": false
-    },
-    "50344": {
-      "content": "[unused59]",
-      "lstrip": false,
-      "normalized": true,
-      "rstrip": false,
-      "single_word": false,
-      "special": false
-    },
-    "50345": {
-      "content": "[unused60]",
-      "lstrip": false,
-      "normalized": true,
-      "rstrip": false,
-      "single_word": false,
-      "special": false
-    },
-    "50346": {
-      "content": "[unused61]",
-      "lstrip": false,
-      "normalized": true,
-      "rstrip": false,
-      "single_word": false,
-      "special": false
-    },
-    "50347": {
-      "content": "[unused62]",
-      "lstrip": false,
-      "normalized": true,
-      "rstrip": false,
-      "single_word": false,
-      "special": false
-    },
-    "50348": {
-      "content": "[unused63]",
-      "lstrip": false,
-      "normalized": true,
-      "rstrip": false,
-      "single_word": false,
-      "special": false
-    },
-    "50349": {
-      "content": "[unused64]",
-      "lstrip": false,
-      "normalized": true,
-      "rstrip": false,
-      "single_word": false,
-      "special": false
-    },
-    "50350": {
-      "content": "[unused65]",
-      "lstrip": false,
-      "normalized": true,
-      "rstrip": false,
-      "single_word": false,
-      "special": false
-    },
-    "50351": {
-      "content": "[unused66]",
-      "lstrip": false,
-      "normalized": true,
-      "rstrip": false,
-      "single_word": false,
-      "special": false
-    },
-    "50352": {
-      "content": "[unused67]",
-      "lstrip": false,
-      "normalized": true,
-      "rstrip": false,
-      "single_word": false,
-      "special": false
-    },
-    "50353": {
-      "content": "[unused68]",
-      "lstrip": false,
-      "normalized": true,
-      "rstrip": false,
-      "single_word": false,
-      "special": false
-    },
-    "50354": {
-      "content": "[unused69]",
-      "lstrip": false,
-      "normalized": true,
-      "rstrip": false,
-      "single_word": false,
-      "special": false
-    },
-    "50355": {
-      "content": "[unused70]",
-      "lstrip": false,
-      "normalized": true,
-      "rstrip": false,
-      "single_word": false,
-      "special": false
-    },
-    "50356": {
-      "content": "[unused71]",
-      "lstrip": false,
-      "normalized": true,
-      "rstrip": false,
-      "single_word": false,
-      "special": false
-    },
-    "50357": {
-      "content": "[unused72]",
-      "lstrip": false,
-      "normalized": true,
-      "rstrip": false,
-      "single_word": false,
-      "special": false
-    },
-    "50358": {
-      "content": "[unused73]",
-      "lstrip": false,
-      "normalized": true,
-      "rstrip": false,
-      "single_word": false,
-      "special": false
-    },
-    "50359": {
-      "content": "[unused74]",
-      "lstrip": false,
-      "normalized": true,
-      "rstrip": false,
-      "single_word": false,
-      "special": false
-    },
-    "50360": {
-      "content": "[unused75]",
-      "lstrip": false,
-      "normalized": true,
-      "rstrip": false,
-      "single_word": false,
-      "special": false
-    },
-    "50361": {
-      "content": "[unused76]",
-      "lstrip": false,
-      "normalized": true,
-      "rstrip": false,
-      "single_word": false,
-      "special": false
-    },
-    "50362": {
-      "content": "[unused77]",
-      "lstrip": false,
-      "normalized": true,
-      "rstrip": false,
-      "single_word": false,
-      "special": false
-    },
-    "50363": {
-      "content": "[unused78]",
-      "lstrip": false,
-      "normalized": true,
-      "rstrip": false,
-      "single_word": false,
-      "special": false
-    },
-    "50364": {
-      "content": "[unused79]",
-      "lstrip": false,
-      "normalized": true,
-      "rstrip": false,
-      "single_word": false,
-      "special": false
-    },
-    "50365": {
-      "content": "[unused80]",
-      "lstrip": false,
-      "normalized": true,
-      "rstrip": false,
-      "single_word": false,
-      "special": false
-    },
-    "50366": {
-      "content": "[unused81]",
-      "lstrip": false,
-      "normalized": true,
-      "rstrip": false,
-      "single_word": false,
-      "special": false
-    },
-    "50367": {
-      "content": "[unused82]",
-      "lstrip": false,
-      "normalized": true,
-      "rstrip": false,
-      "single_word": false,
-      "special": false
     }
   },
   "clean_up_tokenization_spaces": true,
   "cls_token": "[CLS]",
+  "do_basic_tokenize": true,
+  "do_lower_case": true,
   "extra_special_tokens": {},
   "mask_token": "[MASK]",
-  "model_input_names": [
-    "input_ids",
-    "attention_mask"
-  ],
-  "model_max_length": 1000000000000000019884624838656,
+  "max_length": 128,
+  "model_max_length": 512,
+  "never_split": null,
+  "pad_to_multiple_of": null,
   "pad_token": "[PAD]",
+  "pad_token_type_id": 0,
+  "padding_side": "right",
   "sep_token": "[SEP]",
-  "tokenizer_class": "PreTrainedTokenizerFast",
+  "stride": 0,
+  "strip_accents": null,
+  "tokenize_chinese_chars": true,
+  "tokenizer_class": "BertTokenizer",
+  "truncation_side": "right",
+  "truncation_strategy": "longest_first",
   "unk_token": "[UNK]"
 }

training_args.bin

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:8f173e260f70a77737ea2acb7a8476893b3ae8cd5bf5cfbb78f0ef8b4aafbe65
+oid sha256:668d8f5771b0fd68c248a34cc8f075b498d8bfd0d5d1063fa6ac35c710e68859
 size 6161