jfarray/Model_bert-base-multilingual-uncased_10_Epochs
1
0
Fork 0
Code Issues Pull Requests Actions Projects Releases Wiki Activity

初始化项目，由ModelHub XC社区提供模型

Browse Source 
Model: jfarray/Model_bert-base-multilingual-uncased_10_Epochs
Source: Original Platform
This commit is contained in:
ModelHub XC
2026-05-14 17:18:28 +08:00
commit 0d66352334
16 changed files with 212236 additions and 0 deletions
Download Patch File Download Diff File Expand all files Collapse all files

28
.gitattributes vendored Normal file
View File

@@ -0,0 +1,28 @@
*.7z filter=lfs diff=lfs merge=lfs -text
*.arrow filter=lfs diff=lfs merge=lfs -text
*.bin filter=lfs diff=lfs merge=lfs -text
*.bin.* filter=lfs diff=lfs merge=lfs -text
*.bz2 filter=lfs diff=lfs merge=lfs -text
*.ftz filter=lfs diff=lfs merge=lfs -text
*.gz filter=lfs diff=lfs merge=lfs -text
*.h5 filter=lfs diff=lfs merge=lfs -text
*.joblib filter=lfs diff=lfs merge=lfs -text
*.lfs.* filter=lfs diff=lfs merge=lfs -text
*.model filter=lfs diff=lfs merge=lfs -text
*.msgpack filter=lfs diff=lfs merge=lfs -text
*.onnx filter=lfs diff=lfs merge=lfs -text
*.ot filter=lfs diff=lfs merge=lfs -text
*.parquet filter=lfs diff=lfs merge=lfs -text
*.pb filter=lfs diff=lfs merge=lfs -text
*.pt filter=lfs diff=lfs merge=lfs -text
*.pth filter=lfs diff=lfs merge=lfs -text
*.rar filter=lfs diff=lfs merge=lfs -text
saved_model/**/* filter=lfs diff=lfs merge=lfs -text
*.tar.* filter=lfs diff=lfs merge=lfs -text
*.tflite filter=lfs diff=lfs merge=lfs -text
*.tgz filter=lfs diff=lfs merge=lfs -text
*.xz filter=lfs diff=lfs merge=lfs -text
*.zip filter=lfs diff=lfs merge=lfs -text
*.zstandard filter=lfs diff=lfs merge=lfs -text
*tfevents* filter=lfs diff=lfs merge=lfs -text
pytorch_model.bin filter=lfs diff=lfs merge=lfs -text

7
1_Pooling/config.json Normal file
View File

@@ -0,0 +1,7 @@
{
"word_embedding_dimension": 768,
"pooling_mode_cls_token": false,
"pooling_mode_mean_tokens": true,
"pooling_mode_max_tokens": false,
"pooling_mode_mean_sqrt_len_tokens": false
}

1
2_Dense/config.json Normal file
View File

@@ -0,0 +1 @@
{"in_features": 768, "out_features": 256, "bias": true, "activation_function": "torch.nn.modules.activation.Tanh"}

3
2_Dense/pytorch_model.bin Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:675e15721cc8b8525d04a31f2a921c9df14d176c021516685b73dec1cff7ddd2
size 788519

87
README.md Normal file
View File

@@ -0,0 +1,87 @@
---
pipeline_tag: sentence-similarity
tags:
- sentence-transformers
- feature-extraction
- sentence-similarity
---
# {MODEL_NAME}
This is a [sentence-transformers](https://www.SBERT.net) model: It maps sentences & paragraphs to a 256 dimensional dense vector space and can be used for tasks like clustering or semantic search.
<!--- Describe your model here -->
## Usage (Sentence-Transformers)
Using this model becomes easy when you have [sentence-transformers](https://www.SBERT.net) installed:
```
pip install -U sentence-transformers
```
Then you can use the model like this:
```python
from sentence_transformers import SentenceTransformer
sentences = ["This is an example sentence", "Each sentence is converted"]
model = SentenceTransformer('{MODEL_NAME}')
embeddings = model.encode(sentences)
print(embeddings)
```
## Evaluation Results
<!--- Describe how your model was evaluated -->
For an automated evaluation of this model, see the *Sentence Embeddings Benchmark*: [https://seb.sbert.net](https://seb.sbert.net?model_name={MODEL_NAME})
## Training
The model was trained with the parameters:
**DataLoader**:
`torch.utils.data.dataloader.DataLoader` of length 11 with parameters:
```
{'batch_size': 15, 'sampler': 'torch.utils.data.sampler.RandomSampler', 'batch_sampler': 'torch.utils.data.sampler.BatchSampler'}
```
**Loss**:
`sentence_transformers.losses.CosineSimilarityLoss.CosineSimilarityLoss`
Parameters of the fit()-Method:
```
{
"epochs": 10,
"evaluation_steps": 1,
"evaluator": "sentence_transformers.evaluation.EmbeddingSimilarityEvaluator.EmbeddingSimilarityEvaluator",
"max_grad_norm": 1,
"optimizer_class": "<class 'transformers.optimization.AdamW'>",
"optimizer_params": {
"lr": 2e-05
},
"scheduler": "WarmupLinear",
"steps_per_epoch": null,
"warmup_steps": 11,
"weight_decay": 0.01
}
```
## Full Model Architecture
```
SentenceTransformer(
(0): Transformer({'max_seq_length': 256, 'do_lower_case': False}) with Transformer model: BertModel
(1): Pooling({'word_embedding_dimension': 768, 'pooling_mode_cls_token': False, 'pooling_mode_mean_tokens': True, 'pooling_mode_max_tokens': False, 'pooling_mode_mean_sqrt_len_tokens': False})
(2): Dense({'in_features': 768, 'out_features': 256, 'bias': True, 'activation_function': 'torch.nn.modules.activation.Tanh'})
)
```
## Citing & Authors
<!--- Describe where people can find more information -->

31
config.json Normal file
View File

@@ -0,0 +1,31 @@
{
"_name_or_path": "bert-base-multilingual-uncased",
"architectures": [
"BertModel"
],
"attention_probs_dropout_prob": 0.1,
"classifier_dropout": null,
"directionality": "bidi",
"hidden_act": "gelu",
"hidden_dropout_prob": 0.1,
"hidden_size": 768,
"initializer_range": 0.02,
"intermediate_size": 3072,
"layer_norm_eps": 1e-12,
"max_position_embeddings": 512,
"model_type": "bert",
"num_attention_heads": 12,
"num_hidden_layers": 12,
"pad_token_id": 0,
"pooler_fc_size": 768,
"pooler_num_attention_heads": 12,
"pooler_num_fc_layers": 3,
"pooler_size_per_head": 128,
"pooler_type": "first_token_transform",
"position_embedding_type": "absolute",
"torch_dtype": "float32",
"transformers_version": "4.16.2",
"type_vocab_size": 2,
"use_cache": true,
"vocab_size": 105879
}

7
config_sentence_transformers.json Normal file
View File

@@ -0,0 +1,7 @@
{
"__version__": {
"sentence_transformers": "2.2.0",
"transformers": "4.16.2",
"pytorch": "1.10.0+cu111"
}
}

121
eval/similarity_evaluation_results.csv Normal file
View File

@@ -0,0 +1,121 @@
epoch,steps,cosine_pearson,cosine_spearman,euclidean_pearson,euclidean_spearman,manhattan_pearson,manhattan_spearman,dot_pearson,dot_spearman
0,1,0.2723617965841839,0.39798312274382763,0.20072247373635135,0.2733749884662075,0.16921246746819787,0.24413022225819456,0.5021608309158238,0.665000553338728
0,2,0.27152130979746364,0.4195988195062719,0.19815032015881917,0.2733749884662075,0.16525942747533215,0.24413022225819456,0.49937775308327026,0.665000553338728
0,3,0.2693370018042312,0.4195988195062719,0.19405765015538418,0.2873616157830832,0.1580449862073486,0.24413022225819456,0.49211693983756316,0.6204976482395779
0,4,0.27432231886528724,0.4246848658033177,0.19780307161573513,0.2873616157830832,0.1580073963563796,0.24413022225819456,0.48017803360013017,0.6204976482395779
0,5,0.2826580420402684,0.455201143585592,0.20604369183045168,0.2873616157830832,0.1636027956587941,0.24413022225819456,0.46645094087111794,0.5836238125859964
0,6,0.29153174818859556,0.44248602784297775,0.21139433199584062,0.2873616157830832,0.16726056665435962,0.2733749884662075,0.45109993392142694,0.5581935811007678
0,7,0.3117612059669555,0.4653732361796834,0.23056233394606737,0.31533487041683467,0.18685774827768853,0.2873616157830832,0.4279541975525839,0.5302203264670163
0,8,0.3330742765521085,0.48698893294212775,0.2561574261405012,0.35856626394172325,0.20940383865487175,0.30134824309995895,0.39182261732529716,0.5162336991501406
0,9,0.4224551370743736,0.5658226505463364,0.4113221232005274,0.49588951396195774,0.3764415604010486,0.4068837037636577,0.3223802125865551,0.43739998154593196
0,10,0.38119470269748396,0.5454784653581536,0.42274843344598195,0.4513866088628077,0.3876854503322597,0.39798312274382763,0.214450008906603,0.31406335884257325
0,11,0.3065885700679216,0.4259563773775791,0.3904142541455985,0.4361284699716705,0.35866433312156704,0.37255289125859903,0.09554024992700103,0.16529650465398593
0,-1,0.3065885700679216,0.4259563773775791,0.3904142541455985,0.4361284699716705,0.35866433312156704,0.37255289125859903,0.09554024992700103,0.16529650465398593
1,1,0.1943933432472301,0.30134824309995895,0.3174408874703575,0.34839417134763184,0.2827495950162265,0.2949906852286518,-0.2497310364665412,-0.05340348611898007
1,2,0.12501858619824255,0.24413022225819456,0.27554603382136966,0.2746465000404689,0.23393622700063213,0.2810040579117761,-0.49379158812699825,-0.39035405329825906
1,3,0.08659426212373905,0.21234243290165886,0.24751770739912926,0.28609010420882175,0.2022220354324426,0.2746465000404689,-0.535305209884874,-0.46791625932820624
1,4,0.06881140177671863,0.1907267361392145,0.23565201072637978,0.2810040579117761,0.19053226567988926,0.2810040579117761,-0.516364167585159,-0.5047900949817878
1,5,0.03540940355611812,0.11062150696074444,0.20892080654079875,0.2810040579117761,0.16308880268973236,0.2810040579117761,-0.44954528699284685,-0.4946180023876964
1,6,0.033765329853119024,0.11062150696074444,0.202206225355386,0.2810040579117761,0.15371825234713002,0.2695604537434232,-0.384228743037684,-0.4132412616349648
1,7,0.05725381078789925,0.21234243290165886,0.2099428611861031,0.2810040579117761,0.15997596620445914,0.2810040579117761,-0.2862120034186907,-0.2657459190206389
1,8,0.06078512948380489,0.21234243290165886,0.2117604716645682,0.28863312735734464,0.16361885687884029,0.2810040579117761,-0.2677740531208836,-0.2657459190206389
1,9,0.06117734996092548,0.22124301392148887,0.21349583635888567,0.31660638199109614,0.16918913188597742,0.2492162685552403,-0.30108171694435426,-0.2670174305949003
1,10,0.06688583195458593,0.22124301392148887,0.2157748776624316,0.31660638199109614,0.17535780384573338,0.3051627778227432,-0.31384107868905703,-0.32042091671388034
1,11,0.055123791339285966,0.07883371760420867,0.2074022330455289,0.32550696301092613,0.16801798594578707,0.2695604537434232,-0.3341118181420859,-0.3661953333872919
1,-1,0.055123791339285966,0.07883371760420867,0.2074022330455289,0.32550696301092613,0.16801798594578707,0.2695604537434232,-0.3341118181420859,-0.3661953333872919
2,1,0.06473394778444108,0.07883371760420867,0.21126842293324333,0.3433081250505861,0.1737609064154955,0.3000767315256975,-0.3384474621124536,-0.3967116111695662
2,2,0.07309461888426398,0.07883371760420867,0.2148823450983278,0.3433081250505861,0.1784175002857297,0.29244766208012896,-0.33725149060560655,-0.39925463431808905
2,3,0.07456009787725182,0.11825057640631301,0.21430979435350409,0.3471226597733704,0.17877582509080797,0.2937191736543904,-0.3317479067140301,-0.3661953333872919
2,4,0.09175267625249417,0.11825057640631301,0.22576689505024072,0.4081552153379191,0.1911268313358372,0.3700098681100762,-0.3258702845975732,-0.3382220787535404
2,5,0.10997748122379543,0.17038255095103164,0.23716157461396173,0.4195988195062719,0.20453632995337753,0.34839417134763184,-0.3070558127961322,-0.32550696301092613
2,6,0.1051060364801319,0.20979940975313596,0.23226726757244756,0.4310424236746248,0.20017918567304907,0.34839417134763184,-0.28058209393225053,-0.27718952318899176
2,7,0.1109768593830159,0.26320289587211604,0.2334103014401129,0.4310424236746248,0.20319891066246443,0.381453472278429,-0.2387826229894737,-0.15512441205989447
2,8,0.12643551735726916,0.39035405329825906,0.2369001872862991,0.4780883519222977,0.20605993825934835,0.4323139352488863,-0.14358934887506924,-0.022887208336705742
2,9,0.13401119120330754,0.43358544682314765,0.23674288136907404,0.5454784653581536,0.2071232861333438,0.481902886645082,-0.06742348026210777,0.14622383104006448
2,10,0.14028710337460873,0.4450290509915006,0.2358194657776915,0.5480214885066763,0.208821003994841,0.4946180023876964,-0.012546130509426026,0.2822755694860375
2,11,0.17540318102777186,0.5162336991501406,0.24851285712810522,0.48444590979360486,0.22402699420886985,0.44248602784297775,0.11539730672606956,0.4310424236746248
2,-1,0.17540318102777186,0.5162336991501406,0.24851285712810522,0.48444590979360486,0.22402699420886985,0.44248602784297775,0.11539730672606956,0.4310424236746248
3,1,0.1869199916314565,0.4742738171995134,0.2504959591655763,0.43739998154593196,0.2258179736297293,0.3763674259813833,0.16699282119187495,0.4793598634965592
3,2,0.18601860959652772,0.44884358571428484,0.2503885579769284,0.4399430046944548,0.22517624314255125,0.3763674259813833,0.17236685927608636,0.4068837037636577
3,3,0.18225615733089767,0.46283021303116056,0.25033992624060447,0.5314918380412778,0.22610616238671424,0.42849940052610197,0.15918632091048912,0.4068837037636577
3,4,0.1710993725300012,0.5480214885066763,0.24268410643771038,0.5124191644273564,0.2207763756207045,0.4704592824767292,0.12882093842075723,0.3878110301497362
3,5,0.16367352311748362,0.5124191644273564,0.23886962644780427,0.5251342801699707,0.21975687399357693,0.5124191644273564,0.10042094498774393,0.3661953333872919
3,6,0.14656935077518435,0.5060616065560491,0.22638530772150908,0.5276773033184935,0.20895712845032913,0.5251342801699707,0.036789927859192724,0.3382220787535404
3,7,0.1252668642846303,0.4437575394172391,0.2098331355314569,0.4793598634965592,0.19461005125389177,0.43358544682314765,-0.046811310134782756,0.1474953426143259
3,8,0.10368051425465545,0.3433081250505861,0.19335895677371973,0.464101724605422,0.1803931271509606,0.41451277320922625,-0.1250099049355098,-0.0012715115742614302
3,9,0.0767337768923914,0.09917790279239155,0.17192919593213857,0.45774416673411483,0.16164978865965418,0.44630056256576195,-0.1889526156134819,-0.13986627316875733
3,10,0.05404547800859963,0.006357557871307151,0.15288671623196917,0.35220870607041616,0.145261628718692,0.4081552153379191,-0.21603083579501564,-0.1678395278025088
3,11,0.05476784704804881,0.006357557871307151,0.1502461423216594,0.3661953333872919,0.14363854136866386,0.42849940052610197,-0.2088727512415622,-0.13986627316875733
3,-1,0.05476784704804881,0.006357557871307151,0.1502461423216594,0.3661953333872919,0.14363854136866386,0.42849940052610197,-0.2088727512415622,-0.13986627316875733
4,1,0.051639714054161456,0.020344185188182883,0.14524701257156492,0.35220870607041616,0.13938695747663735,0.4094267269121805,-0.20325725583523857,-0.08773429862403868
4,2,0.05661595674307914,0.03305930093079718,0.1485270736008929,0.4170557963577491,0.14303949223328996,0.46028718988263767,-0.16922144180432253,-0.05976104399028721
4,3,0.06265899856180754,0.21361394447592028,0.15356599468742552,0.4590156783083763,0.1477389457153986,0.39798312274382763,-0.12026511379855122,0.00762906944556858
4,4,0.0656597474676127,0.3077058009712661,0.15530342065067765,0.44884358571428484,0.149953467464331,0.4310424236746248,-0.0712707326397536,0.11062150696074444
4,5,0.07429295878857324,0.35856626394172325,0.1605813832907864,0.4920749792391734,0.15511113920474653,0.5213197454471864,-0.004306991759246613,0.2975337083771747
4,6,0.07168939673086101,0.36238079866450756,0.15546831672732386,0.4742738171995134,0.15003450237431046,0.49970404868474205,-0.0013334664698200808,0.3064342893970047
4,7,0.06668562756213939,0.3445796366248476,0.1490722141961013,0.49588951396195774,0.14353904809560517,0.4780883519222977,-0.001200317885120482,0.29244766208012896
4,8,0.046813003572496424,0.19962731715904453,0.13187363938919322,0.36873835653581477,0.12804802913046306,0.45647265515985347,-0.07051753441756184,0.12715115742614302
4,9,0.035461941305222275,0.12587964585188158,0.12014545440700042,0.37255289125859903,0.11678583545504596,0.4157842847834876,-0.11359454378017365,-0.048317439821934344
4,10,0.02703353867025072,0.054674997693241495,0.10946417922751334,0.29244766208012896,0.10675629737300366,0.31406335884257325,-0.1515537269023842,-0.05976104399028721
4,11,0.014524322323588986,-0.00890058101983001,0.09343738454105212,0.23141510651558028,0.09249027377198321,0.23395812966410312,-0.19116851840909949,-0.07756220602994723
4,-1,0.014524322323588986,-0.00890058101983001,0.09343738454105212,0.23141510651558028,0.09249027377198321,0.23395812966410312,-0.19116851840909949,-0.07756220602994723
5,1,0.01000913965241748,-0.0012715115742614302,0.08574829693019523,0.23141510651558028,0.08559416265912986,0.23777266438688743,-0.20137305153811794,-0.10553546066369869
5,2,0.004741419026070648,-0.00890058101983001,0.08031274038431056,0.21361394447592028,0.08027465599757022,0.23141510651558028,-0.19993779382718171,-0.10553546066369869
5,3,0.0013558490264173276,0.020344185188182883,0.07732325043780942,0.1894552245649531,0.07769506284836727,0.24158719910967172,-0.1982036517499212,-0.10553546066369869
5,4,-0.0020598978743988196,0.05340348611898007,0.07380780137544733,0.1894552245649531,0.07430304388351429,0.2352296412383646,-0.20002903506449282,-0.10553546066369869
5,5,0.00636754354522943,0.020344185188182883,0.08170439583136582,0.2352296412383646,0.08117486864775043,0.26320289587211604,-0.17938060141616086,-0.07756220602994723
5,6,0.027962971309693954,0.1894552245649531,0.10464659733436256,0.3471226597733704,0.10280066277394842,0.36110928709024614,-0.10766631447289772,-0.048317439821934344
5,7,0.04781207021787432,0.29244766208012896,0.12396545033874441,0.4195988195062719,0.12059246534734563,0.48444590979360486,-0.021154036060140824,0.11443604168352871
5,8,0.07285443940667027,0.48444590979360486,0.14682585749597557,0.517505210724402,0.1414406225676396,0.5213197454471864,0.09003085018636132,0.4984325371104806
5,9,0.08482703876144827,0.5276773033184935,0.15796631286607957,0.5047900949817878,0.1511685169649009,0.5111476528530949,0.14085021937280992,0.5391209074868464
5,10,0.0866120762548214,0.5416639306353692,0.16169457791118957,0.5403924190611078,0.15415964651905512,0.5543790463779835,0.15812950456884647,0.5086046297045721
5,11,0.08725157867154813,0.5632796273978136,0.16546893337958138,0.5187767222986636,0.15753949931367497,0.5111476528530949,0.1598557295056483,0.5086046297045721
5,-1,0.08725157867154813,0.5632796273978136,0.16546893337958138,0.5187767222986636,0.15753949931367497,0.5111476528530949,0.1598557295056483,0.5086046297045721
6,1,0.08548048869736076,0.5531075348037221,0.166508725377984,0.573451719991905,0.1579798771437692,0.5442069537838921,0.14913813403132498,0.5480214885066763
6,2,0.08370739774321072,0.573451719991905,0.16709231637948704,0.5759947431404279,0.15798711671382096,0.5581935811007678,0.13400806978513838,0.5047900949817878
6,3,0.08347285230649279,0.5518360232294607,0.16895930827140337,0.5899813704573036,0.15936111407368345,0.5798092778632121,0.11935873476725338,0.5429354422096307
6,4,0.0807282891244177,0.4857174213678663,0.166249659135323,0.5505645116551992,0.15639885052862776,0.582352301011735,0.07745214253998337,0.5454784653581536
6,5,0.07777879211706773,0.44630056256576195,0.16343387605904378,0.5505645116551992,0.15353803423660622,0.5899813704573036,0.03245946665305255,0.2937191736543904
6,6,0.07272310307470728,0.3064342893970047,0.15901364653927255,0.464101724605422,0.14921580820376526,0.5543790463779835,-0.017475405414934916,0.18055464354512307
6,7,0.06789651281332085,0.2593883611493318,0.15852612807283106,0.464101724605422,0.14907782739277758,0.5543790463779835,-0.03388152854560199,0.06866162501011723
6,8,0.07051566748000847,0.3064342893970047,0.1653490355750244,0.464101724605422,0.15594698220077144,0.5759947431404279,-0.017033015949872592,0.18055464354512307
6,9,0.07261672912809267,0.3064342893970047,0.1705929125032956,0.5035185834075263,0.16108556005608463,0.5759947431404279,-0.007926538947114859,0.18055464354512307
6,10,0.07535247104904466,0.3344075440307561,0.1750452997477017,0.5403924190611078,0.1658229631272131,0.5759947431404279,0.0005318603590332183,0.18055464354512307
6,11,0.08081004897832052,0.4501150972885462,0.17845698670027962,0.5620081158235521,0.16936458885038475,0.546749976932415,0.03280579078522653,0.28481859263456033
6,-1,0.08081004897832052,0.4501150972885462,0.17845698670027962,0.5620081158235521,0.16936458885038475,0.546749976932415,0.03280579078522653,0.28481859263456033
7,1,0.08654685626680213,0.44630056256576195,0.1804528834128493,0.5759947431404279,0.1714931504683704,0.5607366042492907,0.0589354808185472,0.36238079866450756
7,2,0.08637264913751913,0.43867149312019343,0.17804441496631546,0.5620081158235521,0.1692760737561756,0.5391209074868464,0.06401675018403982,0.36238079866450756
7,3,0.08234111031091161,0.43867149312019343,0.174608682599553,0.5480214885066763,0.16588411629535899,0.5391209074868464,0.05176870555117991,0.36238079866450756
7,4,0.07196711305113837,0.3661953333872919,0.16684411362221777,0.5480214885066763,0.15821491299698462,0.5251342801699707,0.022338805454793623,0.27591801161473034
7,5,0.056854126299692595,0.2937191736543904,0.15556013814310227,0.5035185834075263,0.1467927388986446,0.5543790463779835,-0.031775042093216854,0.1856406898421688
7,6,0.04542855716955376,0.18691220141643022,0.14587714996490553,0.4742738171995134,0.13671022194898896,0.5403924190611078,-0.07937524159638158,0.03560232407932004
7,7,0.03282509180313787,0.11697906483205156,0.13319841134212257,0.42341335422905624,0.12338011461499167,0.4742738171995134,-0.1281190405753703,-0.04450290509915005
7,8,0.025757602279561833,0.07120464815864008,0.12483561979478405,0.36238079866450756,0.11450033564905135,0.3801819607041676,-0.15231230482192112,-0.04450290509915005
7,9,0.024168621302116312,0.07120464815864008,0.12170577550398402,0.3293214977337104,0.1108806552274751,0.3661953333872919,-0.15958503382747447,-0.07247615973290152
7,10,0.02267796262706389,0.07120464815864008,0.1187955864593094,0.3293214977337104,0.10761084934181707,0.3661953333872919,-0.16598576482779168,-0.07247615973290152
7,11,0.023388826082099228,0.08137674075273153,0.11797300586381289,0.3763674259813833,0.10620253295807569,0.3801819607041676,-0.16536542070882912,-0.07247615973290152
7,-1,0.023388826082099228,0.08137674075273153,0.11797300586381289,0.3763674259813833,0.10620253295807569,0.3801819607041676,-0.16536542070882912,-0.07247615973290152
8,1,0.02494409484222196,0.0839197639012544,0.11891626015499254,0.3763674259813833,0.1066560959346107,0.3941685880210433,-0.15927421717955806,-0.04450290509915005
8,2,0.03027209103737706,0.1296941805746659,0.12461811536918009,0.42341335422905624,0.1120758389712893,0.42722788895184055,-0.1394948157871992,-0.04450290509915005
8,3,0.03430537913969008,0.13350871529745015,0.12925106545245466,0.43739998154593196,0.11693301836468088,0.4933464908134349,-0.1140385856878783,-0.04450290509915005
8,4,0.03834274679055679,0.25048778012950174,0.1337550401534354,0.45647265515985347,0.12203471769855208,0.5086046297045721,-0.07866513015845768,0.1296941805746659
8,5,0.04261715576610289,0.32296393986240324,0.1380598738209478,0.5149621875758792,0.1268718388933669,0.5238627685957092,-0.04297475329712595,0.18055464354512307
8,6,0.046906657092389954,0.36238079866450756,0.1417308580597271,0.5492930000809378,0.13104649336581708,0.5162336991501406,-0.008488369638671523,0.21615696762444314
8,7,0.04865731290070672,0.3763674259813833,0.1427782765504746,0.5531075348037221,0.13242010053506065,0.5302203264670163,0.010800153185155946,0.31024882411978894
8,8,0.049757412987256326,0.4094267269121805,0.14324673128531962,0.5531075348037221,0.13311303875684358,0.5302203264670163,0.02470947584461457,0.31024882411978894
8,9,0.04891872917046294,0.4094267269121805,0.1421535736433913,0.5531075348037221,0.13234069886746605,0.5302203264670163,0.02848763513689862,0.32804998615944897
8,10,0.049102259063545525,0.4094267269121805,0.14198535637200904,0.5531075348037221,0.13252479806276432,0.5225912570214478,0.03460523816083461,0.4068837037636577
8,11,0.04936391820080126,0.46028718988263767,0.1418841103465879,0.5314918380412778,0.13271331352943874,0.5225912570214478,0.039759511050182744,0.48444590979360486
8,-1,0.04936391820080126,0.46028718988263767,0.1418841103465879,0.5314918380412778,0.13271331352943874,0.5225912570214478,0.039759511050182744,0.48444590979360486
9,1,0.04843700824903956,0.46028718988263767,0.1407881336411059,0.5314918380412778,0.13187142299429938,0.5225912570214478,0.03989951890979034,0.48444590979360486
9,2,0.04851210326510303,0.45774416673411483,0.14073390992317397,0.5314918380412778,0.13196281254677575,0.5225912570214478,0.042680923087821836,0.4704592824767292
9,3,0.04811762989815579,0.45774416673411483,0.14034155999150186,0.5314918380412778,0.13172758182011032,0.5009755602590035,0.04279903717690045,0.4704592824767292
9,4,0.04627064192172725,0.4348569583974091,0.13891903422544766,0.5314918380412778,0.1303626658950121,0.5009755602590035,0.035326652542178566,0.4195988195062719
9,5,0.044542058169610224,0.4348569583974091,0.13765878527282618,0.5531075348037221,0.12910071374703508,0.48698893294212775,0.027591144513336618,0.3293214977337104
9,6,0.0424815061119831,0.3763674259813833,0.13609572681072168,0.5531075348037221,0.12748292559719152,0.48698893294212775,0.018363807203107253,0.2962621968029132
9,7,0.04035606462388307,0.36238079866450756,0.1343388580764968,0.5531075348037221,0.12564885922391714,0.4946180023876964,0.007921672866498305,0.2962621968029132
9,8,0.03806967836104378,0.36238079866450756,0.13246769987445375,0.5492930000809378,0.12371031827221535,0.4946180023876964,-0.0031854413566032394,0.2530308032780246
9,9,0.036363545417557396,0.36238079866450756,0.1310487771860485,0.5124191644273564,0.12225348776360867,0.4946180023876964,-0.011949548282365148,0.18436917826790739
9,10,0.035275066956678904,0.36238079866450756,0.13012841105938525,0.5124191644273564,0.12130104502591009,0.4882604445163891,-0.017491012666853635,0.16656801622824735
9,11,0.03480911531666855,0.34839417134763184,0.1297338290341687,0.4793598634965592,0.12088885220939423,0.4882604445163891,-0.019882883795760784,0.16656801622824735
9,-1,0.03480911531666855,0.34839417134763184,0.1297338290341687,0.4793598634965592,0.12088885220939423,0.4882604445163891,-0.019882883795760784,0.16656801622824735
1 epoch steps cosine_pearson cosine_spearman euclidean_pearson euclidean_spearman manhattan_pearson manhattan_spearman dot_pearson dot_spearman
2 0 1 0.2723617965841839 0.39798312274382763 0.20072247373635135 0.2733749884662075 0.16921246746819787 0.24413022225819456 0.5021608309158238 0.665000553338728
3 0 2 0.27152130979746364 0.4195988195062719 0.19815032015881917 0.2733749884662075 0.16525942747533215 0.24413022225819456 0.49937775308327026 0.665000553338728
4 0 3 0.2693370018042312 0.4195988195062719 0.19405765015538418 0.2873616157830832 0.1580449862073486 0.24413022225819456 0.49211693983756316 0.6204976482395779
5 0 4 0.27432231886528724 0.4246848658033177 0.19780307161573513 0.2873616157830832 0.1580073963563796 0.24413022225819456 0.48017803360013017 0.6204976482395779
6 0 5 0.2826580420402684 0.455201143585592 0.20604369183045168 0.2873616157830832 0.1636027956587941 0.24413022225819456 0.46645094087111794 0.5836238125859964
7 0 6 0.29153174818859556 0.44248602784297775 0.21139433199584062 0.2873616157830832 0.16726056665435962 0.2733749884662075 0.45109993392142694 0.5581935811007678
8 0 7 0.3117612059669555 0.4653732361796834 0.23056233394606737 0.31533487041683467 0.18685774827768853 0.2873616157830832 0.4279541975525839 0.5302203264670163
9 0 8 0.3330742765521085 0.48698893294212775 0.2561574261405012 0.35856626394172325 0.20940383865487175 0.30134824309995895 0.39182261732529716 0.5162336991501406
10 0 9 0.4224551370743736 0.5658226505463364 0.4113221232005274 0.49588951396195774 0.3764415604010486 0.4068837037636577 0.3223802125865551 0.43739998154593196
11 0 10 0.38119470269748396 0.5454784653581536 0.42274843344598195 0.4513866088628077 0.3876854503322597 0.39798312274382763 0.214450008906603 0.31406335884257325
12 0 11 0.3065885700679216 0.4259563773775791 0.3904142541455985 0.4361284699716705 0.35866433312156704 0.37255289125859903 0.09554024992700103 0.16529650465398593
13 0 -1 0.3065885700679216 0.4259563773775791 0.3904142541455985 0.4361284699716705 0.35866433312156704 0.37255289125859903 0.09554024992700103 0.16529650465398593
14 1 1 0.1943933432472301 0.30134824309995895 0.3174408874703575 0.34839417134763184 0.2827495950162265 0.2949906852286518 -0.2497310364665412 -0.05340348611898007
15 1 2 0.12501858619824255 0.24413022225819456 0.27554603382136966 0.2746465000404689 0.23393622700063213 0.2810040579117761 -0.49379158812699825 -0.39035405329825906
16 1 3 0.08659426212373905 0.21234243290165886 0.24751770739912926 0.28609010420882175 0.2022220354324426 0.2746465000404689 -0.535305209884874 -0.46791625932820624
17 1 4 0.06881140177671863 0.1907267361392145 0.23565201072637978 0.2810040579117761 0.19053226567988926 0.2810040579117761 -0.516364167585159 -0.5047900949817878
18 1 5 0.03540940355611812 0.11062150696074444 0.20892080654079875 0.2810040579117761 0.16308880268973236 0.2810040579117761 -0.44954528699284685 -0.4946180023876964
19 1 6 0.033765329853119024 0.11062150696074444 0.202206225355386 0.2810040579117761 0.15371825234713002 0.2695604537434232 -0.384228743037684 -0.4132412616349648
20 1 7 0.05725381078789925 0.21234243290165886 0.2099428611861031 0.2810040579117761 0.15997596620445914 0.2810040579117761 -0.2862120034186907 -0.2657459190206389
21 1 8 0.06078512948380489 0.21234243290165886 0.2117604716645682 0.28863312735734464 0.16361885687884029 0.2810040579117761 -0.2677740531208836 -0.2657459190206389
22 1 9 0.06117734996092548 0.22124301392148887 0.21349583635888567 0.31660638199109614 0.16918913188597742 0.2492162685552403 -0.30108171694435426 -0.2670174305949003
23 1 10 0.06688583195458593 0.22124301392148887 0.2157748776624316 0.31660638199109614 0.17535780384573338 0.3051627778227432 -0.31384107868905703 -0.32042091671388034
24 1 11 0.055123791339285966 0.07883371760420867 0.2074022330455289 0.32550696301092613 0.16801798594578707 0.2695604537434232 -0.3341118181420859 -0.3661953333872919
25 1 -1 0.055123791339285966 0.07883371760420867 0.2074022330455289 0.32550696301092613 0.16801798594578707 0.2695604537434232 -0.3341118181420859 -0.3661953333872919
26 2 1 0.06473394778444108 0.07883371760420867 0.21126842293324333 0.3433081250505861 0.1737609064154955 0.3000767315256975 -0.3384474621124536 -0.3967116111695662
27 2 2 0.07309461888426398 0.07883371760420867 0.2148823450983278 0.3433081250505861 0.1784175002857297 0.29244766208012896 -0.33725149060560655 -0.39925463431808905
28 2 3 0.07456009787725182 0.11825057640631301 0.21430979435350409 0.3471226597733704 0.17877582509080797 0.2937191736543904 -0.3317479067140301 -0.3661953333872919
29 2 4 0.09175267625249417 0.11825057640631301 0.22576689505024072 0.4081552153379191 0.1911268313358372 0.3700098681100762 -0.3258702845975732 -0.3382220787535404
30 2 5 0.10997748122379543 0.17038255095103164 0.23716157461396173 0.4195988195062719 0.20453632995337753 0.34839417134763184 -0.3070558127961322 -0.32550696301092613
31 2 6 0.1051060364801319 0.20979940975313596 0.23226726757244756 0.4310424236746248 0.20017918567304907 0.34839417134763184 -0.28058209393225053 -0.27718952318899176
32 2 7 0.1109768593830159 0.26320289587211604 0.2334103014401129 0.4310424236746248 0.20319891066246443 0.381453472278429 -0.2387826229894737 -0.15512441205989447
33 2 8 0.12643551735726916 0.39035405329825906 0.2369001872862991 0.4780883519222977 0.20605993825934835 0.4323139352488863 -0.14358934887506924 -0.022887208336705742
34 2 9 0.13401119120330754 0.43358544682314765 0.23674288136907404 0.5454784653581536 0.2071232861333438 0.481902886645082 -0.06742348026210777 0.14622383104006448
35 2 10 0.14028710337460873 0.4450290509915006 0.2358194657776915 0.5480214885066763 0.208821003994841 0.4946180023876964 -0.012546130509426026 0.2822755694860375
36 2 11 0.17540318102777186 0.5162336991501406 0.24851285712810522 0.48444590979360486 0.22402699420886985 0.44248602784297775 0.11539730672606956 0.4310424236746248
37 2 -1 0.17540318102777186 0.5162336991501406 0.24851285712810522 0.48444590979360486 0.22402699420886985 0.44248602784297775 0.11539730672606956 0.4310424236746248
38 3 1 0.1869199916314565 0.4742738171995134 0.2504959591655763 0.43739998154593196 0.2258179736297293 0.3763674259813833 0.16699282119187495 0.4793598634965592
39 3 2 0.18601860959652772 0.44884358571428484 0.2503885579769284 0.4399430046944548 0.22517624314255125 0.3763674259813833 0.17236685927608636 0.4068837037636577
40 3 3 0.18225615733089767 0.46283021303116056 0.25033992624060447 0.5314918380412778 0.22610616238671424 0.42849940052610197 0.15918632091048912 0.4068837037636577
41 3 4 0.1710993725300012 0.5480214885066763 0.24268410643771038 0.5124191644273564 0.2207763756207045 0.4704592824767292 0.12882093842075723 0.3878110301497362
42 3 5 0.16367352311748362 0.5124191644273564 0.23886962644780427 0.5251342801699707 0.21975687399357693 0.5124191644273564 0.10042094498774393 0.3661953333872919
43 3 6 0.14656935077518435 0.5060616065560491 0.22638530772150908 0.5276773033184935 0.20895712845032913 0.5251342801699707 0.036789927859192724 0.3382220787535404
44 3 7 0.1252668642846303 0.4437575394172391 0.2098331355314569 0.4793598634965592 0.19461005125389177 0.43358544682314765 -0.046811310134782756 0.1474953426143259
45 3 8 0.10368051425465545 0.3433081250505861 0.19335895677371973 0.464101724605422 0.1803931271509606 0.41451277320922625 -0.1250099049355098 -0.0012715115742614302
46 3 9 0.0767337768923914 0.09917790279239155 0.17192919593213857 0.45774416673411483 0.16164978865965418 0.44630056256576195 -0.1889526156134819 -0.13986627316875733
47 3 10 0.05404547800859963 0.006357557871307151 0.15288671623196917 0.35220870607041616 0.145261628718692 0.4081552153379191 -0.21603083579501564 -0.1678395278025088
48 3 11 0.05476784704804881 0.006357557871307151 0.1502461423216594 0.3661953333872919 0.14363854136866386 0.42849940052610197 -0.2088727512415622 -0.13986627316875733
49 3 -1 0.05476784704804881 0.006357557871307151 0.1502461423216594 0.3661953333872919 0.14363854136866386 0.42849940052610197 -0.2088727512415622 -0.13986627316875733
50 4 1 0.051639714054161456 0.020344185188182883 0.14524701257156492 0.35220870607041616 0.13938695747663735 0.4094267269121805 -0.20325725583523857 -0.08773429862403868
51 4 2 0.05661595674307914 0.03305930093079718 0.1485270736008929 0.4170557963577491 0.14303949223328996 0.46028718988263767 -0.16922144180432253 -0.05976104399028721
52 4 3 0.06265899856180754 0.21361394447592028 0.15356599468742552 0.4590156783083763 0.1477389457153986 0.39798312274382763 -0.12026511379855122 0.00762906944556858
53 4 4 0.0656597474676127 0.3077058009712661 0.15530342065067765 0.44884358571428484 0.149953467464331 0.4310424236746248 -0.0712707326397536 0.11062150696074444
54 4 5 0.07429295878857324 0.35856626394172325 0.1605813832907864 0.4920749792391734 0.15511113920474653 0.5213197454471864 -0.004306991759246613 0.2975337083771747
55 4 6 0.07168939673086101 0.36238079866450756 0.15546831672732386 0.4742738171995134 0.15003450237431046 0.49970404868474205 -0.0013334664698200808 0.3064342893970047
56 4 7 0.06668562756213939 0.3445796366248476 0.1490722141961013 0.49588951396195774 0.14353904809560517 0.4780883519222977 -0.001200317885120482 0.29244766208012896
57 4 8 0.046813003572496424 0.19962731715904453 0.13187363938919322 0.36873835653581477 0.12804802913046306 0.45647265515985347 -0.07051753441756184 0.12715115742614302
58 4 9 0.035461941305222275 0.12587964585188158 0.12014545440700042 0.37255289125859903 0.11678583545504596 0.4157842847834876 -0.11359454378017365 -0.048317439821934344
59 4 10 0.02703353867025072 0.054674997693241495 0.10946417922751334 0.29244766208012896 0.10675629737300366 0.31406335884257325 -0.1515537269023842 -0.05976104399028721
60 4 11 0.014524322323588986 -0.00890058101983001 0.09343738454105212 0.23141510651558028 0.09249027377198321 0.23395812966410312 -0.19116851840909949 -0.07756220602994723
61 4 -1 0.014524322323588986 -0.00890058101983001 0.09343738454105212 0.23141510651558028 0.09249027377198321 0.23395812966410312 -0.19116851840909949 -0.07756220602994723
62 5 1 0.01000913965241748 -0.0012715115742614302 0.08574829693019523 0.23141510651558028 0.08559416265912986 0.23777266438688743 -0.20137305153811794 -0.10553546066369869
63 5 2 0.004741419026070648 -0.00890058101983001 0.08031274038431056 0.21361394447592028 0.08027465599757022 0.23141510651558028 -0.19993779382718171 -0.10553546066369869
64 5 3 0.0013558490264173276 0.020344185188182883 0.07732325043780942 0.1894552245649531 0.07769506284836727 0.24158719910967172 -0.1982036517499212 -0.10553546066369869
65 5 4 -0.0020598978743988196 0.05340348611898007 0.07380780137544733 0.1894552245649531 0.07430304388351429 0.2352296412383646 -0.20002903506449282 -0.10553546066369869
66 5 5 0.00636754354522943 0.020344185188182883 0.08170439583136582 0.2352296412383646 0.08117486864775043 0.26320289587211604 -0.17938060141616086 -0.07756220602994723
67 5 6 0.027962971309693954 0.1894552245649531 0.10464659733436256 0.3471226597733704 0.10280066277394842 0.36110928709024614 -0.10766631447289772 -0.048317439821934344
68 5 7 0.04781207021787432 0.29244766208012896 0.12396545033874441 0.4195988195062719 0.12059246534734563 0.48444590979360486 -0.021154036060140824 0.11443604168352871
69 5 8 0.07285443940667027 0.48444590979360486 0.14682585749597557 0.517505210724402 0.1414406225676396 0.5213197454471864 0.09003085018636132 0.4984325371104806
70 5 9 0.08482703876144827 0.5276773033184935 0.15796631286607957 0.5047900949817878 0.1511685169649009 0.5111476528530949 0.14085021937280992 0.5391209074868464
71 5 10 0.0866120762548214 0.5416639306353692 0.16169457791118957 0.5403924190611078 0.15415964651905512 0.5543790463779835 0.15812950456884647 0.5086046297045721
72 5 11 0.08725157867154813 0.5632796273978136 0.16546893337958138 0.5187767222986636 0.15753949931367497 0.5111476528530949 0.1598557295056483 0.5086046297045721
73 5 -1 0.08725157867154813 0.5632796273978136 0.16546893337958138 0.5187767222986636 0.15753949931367497 0.5111476528530949 0.1598557295056483 0.5086046297045721
74 6 1 0.08548048869736076 0.5531075348037221 0.166508725377984 0.573451719991905 0.1579798771437692 0.5442069537838921 0.14913813403132498 0.5480214885066763
75 6 2 0.08370739774321072 0.573451719991905 0.16709231637948704 0.5759947431404279 0.15798711671382096 0.5581935811007678 0.13400806978513838 0.5047900949817878
76 6 3 0.08347285230649279 0.5518360232294607 0.16895930827140337 0.5899813704573036 0.15936111407368345 0.5798092778632121 0.11935873476725338 0.5429354422096307
77 6 4 0.0807282891244177 0.4857174213678663 0.166249659135323 0.5505645116551992 0.15639885052862776 0.582352301011735 0.07745214253998337 0.5454784653581536
78 6 5 0.07777879211706773 0.44630056256576195 0.16343387605904378 0.5505645116551992 0.15353803423660622 0.5899813704573036 0.03245946665305255 0.2937191736543904
79 6 6 0.07272310307470728 0.3064342893970047 0.15901364653927255 0.464101724605422 0.14921580820376526 0.5543790463779835 -0.017475405414934916 0.18055464354512307
80 6 7 0.06789651281332085 0.2593883611493318 0.15852612807283106 0.464101724605422 0.14907782739277758 0.5543790463779835 -0.03388152854560199 0.06866162501011723
81 6 8 0.07051566748000847 0.3064342893970047 0.1653490355750244 0.464101724605422 0.15594698220077144 0.5759947431404279 -0.017033015949872592 0.18055464354512307
82 6 9 0.07261672912809267 0.3064342893970047 0.1705929125032956 0.5035185834075263 0.16108556005608463 0.5759947431404279 -0.007926538947114859 0.18055464354512307
83 6 10 0.07535247104904466 0.3344075440307561 0.1750452997477017 0.5403924190611078 0.1658229631272131 0.5759947431404279 0.0005318603590332183 0.18055464354512307
84 6 11 0.08081004897832052 0.4501150972885462 0.17845698670027962 0.5620081158235521 0.16936458885038475 0.546749976932415 0.03280579078522653 0.28481859263456033
85 6 -1 0.08081004897832052 0.4501150972885462 0.17845698670027962 0.5620081158235521 0.16936458885038475 0.546749976932415 0.03280579078522653 0.28481859263456033
86 7 1 0.08654685626680213 0.44630056256576195 0.1804528834128493 0.5759947431404279 0.1714931504683704 0.5607366042492907 0.0589354808185472 0.36238079866450756
87 7 2 0.08637264913751913 0.43867149312019343 0.17804441496631546 0.5620081158235521 0.1692760737561756 0.5391209074868464 0.06401675018403982 0.36238079866450756
88 7 3 0.08234111031091161 0.43867149312019343 0.174608682599553 0.5480214885066763 0.16588411629535899 0.5391209074868464 0.05176870555117991 0.36238079866450756
89 7 4 0.07196711305113837 0.3661953333872919 0.16684411362221777 0.5480214885066763 0.15821491299698462 0.5251342801699707 0.022338805454793623 0.27591801161473034
90 7 5 0.056854126299692595 0.2937191736543904 0.15556013814310227 0.5035185834075263 0.1467927388986446 0.5543790463779835 -0.031775042093216854 0.1856406898421688
91 7 6 0.04542855716955376 0.18691220141643022 0.14587714996490553 0.4742738171995134 0.13671022194898896 0.5403924190611078 -0.07937524159638158 0.03560232407932004
92 7 7 0.03282509180313787 0.11697906483205156 0.13319841134212257 0.42341335422905624 0.12338011461499167 0.4742738171995134 -0.1281190405753703 -0.04450290509915005
93 7 8 0.025757602279561833 0.07120464815864008 0.12483561979478405 0.36238079866450756 0.11450033564905135 0.3801819607041676 -0.15231230482192112 -0.04450290509915005
94 7 9 0.024168621302116312 0.07120464815864008 0.12170577550398402 0.3293214977337104 0.1108806552274751 0.3661953333872919 -0.15958503382747447 -0.07247615973290152
95 7 10 0.02267796262706389 0.07120464815864008 0.1187955864593094 0.3293214977337104 0.10761084934181707 0.3661953333872919 -0.16598576482779168 -0.07247615973290152
96 7 11 0.023388826082099228 0.08137674075273153 0.11797300586381289 0.3763674259813833 0.10620253295807569 0.3801819607041676 -0.16536542070882912 -0.07247615973290152
97 7 -1 0.023388826082099228 0.08137674075273153 0.11797300586381289 0.3763674259813833 0.10620253295807569 0.3801819607041676 -0.16536542070882912 -0.07247615973290152
98 8 1 0.02494409484222196 0.0839197639012544 0.11891626015499254 0.3763674259813833 0.1066560959346107 0.3941685880210433 -0.15927421717955806 -0.04450290509915005
99 8 2 0.03027209103737706 0.1296941805746659 0.12461811536918009 0.42341335422905624 0.1120758389712893 0.42722788895184055 -0.1394948157871992 -0.04450290509915005
100 8 3 0.03430537913969008 0.13350871529745015 0.12925106545245466 0.43739998154593196 0.11693301836468088 0.4933464908134349 -0.1140385856878783 -0.04450290509915005
101 8 4 0.03834274679055679 0.25048778012950174 0.1337550401534354 0.45647265515985347 0.12203471769855208 0.5086046297045721 -0.07866513015845768 0.1296941805746659
102 8 5 0.04261715576610289 0.32296393986240324 0.1380598738209478 0.5149621875758792 0.1268718388933669 0.5238627685957092 -0.04297475329712595 0.18055464354512307
103 8 6 0.046906657092389954 0.36238079866450756 0.1417308580597271 0.5492930000809378 0.13104649336581708 0.5162336991501406 -0.008488369638671523 0.21615696762444314
104 8 7 0.04865731290070672 0.3763674259813833 0.1427782765504746 0.5531075348037221 0.13242010053506065 0.5302203264670163 0.010800153185155946 0.31024882411978894
105 8 8 0.049757412987256326 0.4094267269121805 0.14324673128531962 0.5531075348037221 0.13311303875684358 0.5302203264670163 0.02470947584461457 0.31024882411978894
106 8 9 0.04891872917046294 0.4094267269121805 0.1421535736433913 0.5531075348037221 0.13234069886746605 0.5302203264670163 0.02848763513689862 0.32804998615944897
107 8 10 0.049102259063545525 0.4094267269121805 0.14198535637200904 0.5531075348037221 0.13252479806276432 0.5225912570214478 0.03460523816083461 0.4068837037636577
108 8 11 0.04936391820080126 0.46028718988263767 0.1418841103465879 0.5314918380412778 0.13271331352943874 0.5225912570214478 0.039759511050182744 0.48444590979360486
109 8 -1 0.04936391820080126 0.46028718988263767 0.1418841103465879 0.5314918380412778 0.13271331352943874 0.5225912570214478 0.039759511050182744 0.48444590979360486
110 9 1 0.04843700824903956 0.46028718988263767 0.1407881336411059 0.5314918380412778 0.13187142299429938 0.5225912570214478 0.03989951890979034 0.48444590979360486
111 9 2 0.04851210326510303 0.45774416673411483 0.14073390992317397 0.5314918380412778 0.13196281254677575 0.5225912570214478 0.042680923087821836 0.4704592824767292
112 9 3 0.04811762989815579 0.45774416673411483 0.14034155999150186 0.5314918380412778 0.13172758182011032 0.5009755602590035 0.04279903717690045 0.4704592824767292
113 9 4 0.04627064192172725 0.4348569583974091 0.13891903422544766 0.5314918380412778 0.1303626658950121 0.5009755602590035 0.035326652542178566 0.4195988195062719
114 9 5 0.044542058169610224 0.4348569583974091 0.13765878527282618 0.5531075348037221 0.12910071374703508 0.48698893294212775 0.027591144513336618 0.3293214977337104
115 9 6 0.0424815061119831 0.3763674259813833 0.13609572681072168 0.5531075348037221 0.12748292559719152 0.48698893294212775 0.018363807203107253 0.2962621968029132
116 9 7 0.04035606462388307 0.36238079866450756 0.1343388580764968 0.5531075348037221 0.12564885922391714 0.4946180023876964 0.007921672866498305 0.2962621968029132
117 9 8 0.03806967836104378 0.36238079866450756 0.13246769987445375 0.5492930000809378 0.12371031827221535 0.4946180023876964 -0.0031854413566032394 0.2530308032780246
118 9 9 0.036363545417557396 0.36238079866450756 0.1310487771860485 0.5124191644273564 0.12225348776360867 0.4946180023876964 -0.011949548282365148 0.18436917826790739
119 9 10 0.035275066956678904 0.36238079866450756 0.13012841105938525 0.5124191644273564 0.12130104502591009 0.4882604445163891 -0.017491012666853635 0.16656801622824735
120 9 11 0.03480911531666855 0.34839417134763184 0.1297338290341687 0.4793598634965592 0.12088885220939423 0.4882604445163891 -0.019882883795760784 0.16656801622824735
121 9 -1 0.03480911531666855 0.34839417134763184 0.1297338290341687 0.4793598634965592 0.12088885220939423 0.4882604445163891 -0.019882883795760784 0.16656801622824735

20
modules.json Normal file
View File

@@ -0,0 +1,20 @@
[
{
"idx": 0,
"name": "0",
"path": "",
"type": "sentence_transformers.models.Transformer"
},
{
"idx": 1,
"name": "1",
"path": "1_Pooling",
"type": "sentence_transformers.models.Pooling"
},
{
"idx": 2,
"name": "2",
"path": "2_Dense",
"type": "sentence_transformers.models.Dense"
}
]

3
pytorch_model.bin Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:2c444eaba015685d9b72f257b54ca4cdf4d25766e3277abc803efcadad6bc183
size 669506993

4
sentence_bert_config.json Normal file
View File

@@ -0,0 +1,4 @@
{
"max_seq_length": 256,
"do_lower_case": false
}

2
similarity_evaluation_sts-test_results.csv Normal file
View File

@@ -0,0 +1,2 @@
epoch,steps,cosine_pearson,cosine_spearman,euclidean_pearson,euclidean_spearman,manhattan_pearson,manhattan_spearman,dot_pearson,dot_spearman
-1,-1,0.7745657088673157,0.5141633254097755,0.7920986800309122,0.5250023563215429,0.7932546853140852,0.5457216432968104,0.7558137932347831,0.2677744398262415
1 epoch steps cosine_pearson cosine_spearman euclidean_pearson euclidean_spearman manhattan_pearson manhattan_spearman dot_pearson dot_spearman
2 -1 -1 0.7745657088673157 0.5141633254097755 0.7920986800309122 0.5250023563215429 0.7932546853140852 0.5457216432968104 0.7558137932347831 0.2677744398262415

1
special_tokens_map.json Normal file
View File

@@ -0,0 +1 @@
{"unk_token": "[UNK]", "sep_token": "[SEP]", "pad_token": "[PAD]", "cls_token": "[CLS]", "mask_token": "[MASK]"}

106041
tokenizer.json Normal file
View File

File diff suppressed because it is too large Load Diff

1
tokenizer_config.json Normal file
View File

@@ -0,0 +1 @@
{"do_lower_case": true, "unk_token": "[UNK]", "sep_token": "[SEP]", "pad_token": "[PAD]", "cls_token": "[CLS]", "mask_token": "[MASK]", "tokenize_chinese_chars": true, "strip_accents": null, "model_max_length": 512, "special_tokens_map_file": null, "name_or_path": "bert-base-multilingual-uncased", "tokenizer_class": "BertTokenizer"}

105879
vocab.txt Normal file
View File

File diff suppressed because it is too large Load Diff