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cross-encoder-bert-base

Text Classification
Transformers
PyTorch
Safetensors
Chinese
bert
sbert
Inference Endpoints
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2
cross-encoder-bert-base
File size: 1,444 Bytes 
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epoch,steps,Accuracy
0,1000,0.8417
0,2000,0.8713
0,3000,0.88545
0,4000,0.89485
0,5000,0.89175
0,6000,0.9019
0,7000,0.8934
0,8000,0.8962
0,9000,0.90235
0,10000,0.90545
0,11000,0.9011
0,12000,0.9101
0,13000,0.90305
0,14000,0.9114
0,15000,0.90475
0,16000,0.9156
0,17000,0.9161
0,-1,0.91645
1,1000,0.91455
1,2000,0.91295
1,3000,0.9142
1,4000,0.9085
1,5000,0.9159
1,6000,0.9194
1,7000,0.91985
1,8000,0.92015
1,9000,0.9196
1,10000,0.92185
1,11000,0.9203
1,12000,0.924
1,13000,0.92065
1,14000,0.923
1,15000,0.923
1,16000,0.92045
1,17000,0.92445
1,-1,0.92515
2,1000,0.92025
2,2000,0.92355
2,3000,0.9222
2,4000,0.9238
2,5000,0.9244
2,6000,0.9263
2,7000,0.9239
2,8000,0.9241
2,9000,0.92665
2,10000,0.9271
2,11000,0.92735
2,12000,0.92575
2,13000,0.9285
2,14000,0.92935
2,15000,0.928
2,16000,0.9265
2,17000,0.9264
2,-1,0.9258
3,1000,0.92955
3,2000,0.92535
3,3000,0.928
3,4000,0.9266
3,5000,0.92455
3,6000,0.92525
3,7000,0.92945
3,8000,0.92915
3,9000,0.9246
3,10000,0.9294
3,11000,0.9281
3,12000,0.92995
3,13000,0.93125
3,14000,0.93155
3,15000,0.93185
3,16000,0.9324
3,17000,0.93135
3,-1,0.9319
4,1000,0.92965
4,2000,0.92875
4,3000,0.9318
4,4000,0.93115
4,5000,0.93025
4,6000,0.92895
4,7000,0.9285
4,8000,0.93125
4,9000,0.93015
4,10000,0.9314
4,11000,0.93145
4,12000,0.93115
4,13000,0.93005
4,14000,0.9311
4,15000,0.93085
4,16000,0.93115
4,17000,0.9308
4,-1,0.93095