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osllmai
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bge-base-en-v1.5-finetuned_osllmai_v1

Sentence Similarity
sentence-transformers
Safetensors
English
bert
feature-extraction
Generated from Trainer
dataset_size:9598
loss:MultipleNegativesRankingLoss
text-embeddings-inference
Inference Endpoints
Model card Files Community
alinemati commited on
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71be7e6
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1 Parent(s): d2f9616

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  1. README.md +1 -138
README.md CHANGED
@@ -945,144 +945,7 @@ You can finetune this model on your own dataset.
945
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946
  | 0.9896 | 950 | 0.0333 | - |
947
  | 1.0417 | 1000 | 0.039 | 0.0108 |
948
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949
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950
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951
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952
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953
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954
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955
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956
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957
- | 1.5625 | 1500 | 0.0099 | 0.0116 |
958
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959
- | 1.6667 | 1600 | 0.0086 | 0.0137 |
960
- | 1.7188 | 1650 | 0.0169 | - |
961
- | 1.7708 | 1700 | 0.0069 | 0.0133 |
962
- | 1.8229 | 1750 | 0.0033 | - |
963
- | 1.875 | 1800 | 0.0135 | 0.0127 |
964
- | 1.9271 | 1850 | 0.0062 | - |
965
- | 1.9792 | 1900 | 0.0043 | 0.0203 |
966
- | 2.0312 | 1950 | 0.0031 | - |
967
- | 2.0833 | 2000 | 0.0049 | 0.0162 |
968
- | 2.1354 | 2050 | 0.0063 | - |
969
- | 2.1875 | 2100 | 0.0073 | 0.0169 |
970
- | 2.2396 | 2150 | 0.0024 | - |
971
- | 2.2917 | 2200 | 0.0025 | 0.0198 |
972
- | 2.3438 | 2250 | 0.002 | - |
973
- | 2.3958 | 2300 | 0.002 | 0.0148 |
974
- | 2.4479 | 2350 | 0.0027 | - |
975
- | 2.5 | 2400 | 0.003 | 0.0196 |
976
- | 2.5521 | 2450 | 0.0015 | - |
977
- | 2.6042 | 2500 | 0.0024 | 0.0190 |
978
- | 2.6562 | 2550 | 0.0075 | - |
979
- | 2.7083 | 2600 | 0.0032 | 0.0113 |
980
- | 2.7604 | 2650 | 0.0015 | - |
981
- | 2.8125 | 2700 | 0.0012 | 0.0131 |
982
- | 2.8646 | 2750 | 0.0029 | - |
983
- | 2.9167 | 2800 | 0.0016 | 0.0217 |
984
- | 2.9688 | 2850 | 0.0014 | - |
985
- | 3.0208 | 2900 | 0.0012 | 0.0142 |
986
- | 3.0729 | 2950 | 0.0009 | - |
987
- | 3.125 | 3000 | 0.0011 | 0.0220 |
988
- | 3.1771 | 3050 | 0.0013 | - |
989
- | 3.2292 | 3100 | 0.0009 | 0.0214 |
990
- | 3.2812 | 3150 | 0.0011 | - |
991
- | 3.3333 | 3200 | 0.0008 | 0.0244 |
992
- | 3.3854 | 3250 | 0.0018 | - |
993
- | 3.4375 | 3300 | 0.0011 | 0.0293 |
994
- | 3.4896 | 3350 | 0.0007 | - |
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- | 3.5417 | 3400 | 0.0006 | 0.0222 |
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- | 3.5938 | 3450 | 0.0005 | - |
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- | 3.6458 | 3500 | 0.0005 | 0.0241 |
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- | 3.6979 | 3550 | 0.0005 | - |
999
- | 3.75 | 3600 | 0.0005 | 0.0203 |
1000
- | 3.8021 | 3650 | 0.0006 | - |
1001
- | 3.8542 | 3700 | 0.0004 | 0.0187 |
1002
- | 3.9062 | 3750 | 0.0007 | - |
1003
- | 3.9583 | 3800 | 0.0004 | 0.0206 |
1004
- | 4.0104 | 3850 | 0.0003 | - |
1005
- | 4.0625 | 3900 | 0.0003 | 0.0222 |
1006
- | 4.1146 | 3950 | 0.0003 | - |
1007
- | 4.1667 | 4000 | 0.0002 | 0.0188 |
1008
- | 4.2188 | 4050 | 0.0002 | - |
1009
- | 4.2708 | 4100 | 0.0007 | 0.0257 |
1010
- | 4.3229 | 4150 | 0.0004 | - |
1011
- | 4.375 | 4200 | 0.0012 | 0.0459 |
1012
- | 4.4271 | 4250 | 0.0005 | - |
1013
- | 4.4792 | 4300 | 0.0011 | 0.0344 |
1014
- | 4.5312 | 4350 | 0.0006 | - |
1015
- | 4.5833 | 4400 | 0.0004 | 0.0202 |
1016
- | 4.6354 | 4450 | 0.0003 | - |
1017
- | 4.6875 | 4500 | 0.0003 | 0.0244 |
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- | 4.7396 | 4550 | 0.0003 | - |
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- | 4.7917 | 4600 | 0.0003 | 0.0262 |
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- | 4.8438 | 4650 | 0.0002 | - |
1021
- | 4.8958 | 4700 | 0.0002 | 0.0289 |
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- | 4.9479 | 4750 | 0.0002 | - |
1023
- | 5.0 | 4800 | 0.0002 | 0.0266 |
1024
- | 5.0521 | 4850 | 0.0002 | - |
1025
- | 5.1042 | 4900 | 0.0002 | 0.0260 |
1026
- | 5.1562 | 4950 | 0.0002 | - |
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- | 5.2083 | 5000 | 0.0002 | 0.0262 |
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- | 5.2604 | 5050 | 0.0002 | - |
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- | 5.3125 | 5100 | 0.0001 | 0.0266 |
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- | 5.3646 | 5150 | 0.0001 | - |
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- | 5.4167 | 5200 | 0.0001 | 0.0254 |
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- | 5.5208 | 5300 | 0.0001 | 0.0257 |
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- | 5.5729 | 5350 | 0.0001 | - |
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- | 5.625 | 5400 | 0.0001 | 0.0235 |
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- | 5.6771 | 5450 | 0.0001 | - |
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- | 5.7292 | 5500 | 0.0001 | 0.0241 |
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- | 5.7812 | 5550 | 0.0001 | - |
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- | 5.8333 | 5600 | 0.0001 | 0.0248 |
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- | 5.8854 | 5650 | 0.0001 | - |
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- | 5.9375 | 5700 | 0.0001 | 0.0258 |
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- | 5.9896 | 5750 | 0.0001 | - |
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- | 6.0417 | 5800 | 0.0001 | 0.0257 |
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- | 6.0938 | 5850 | 0.0001 | - |
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- | 6.1458 | 5900 | 0.0001 | 0.0266 |
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- | 6.1979 | 5950 | 0.0001 | - |
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- | 6.25 | 6000 | 0.0001 | 0.0263 |
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- | 6.3542 | 6100 | 0.0001 | 0.0277 |
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- | 6.4062 | 6150 | 0.0001 | - |
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- | 6.4583 | 6200 | 0.0001 | 0.0267 |
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- | 6.5104 | 6250 | 0.0001 | - |
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- | 6.5625 | 6300 | 0.0001 | 0.0260 |
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- | 6.6146 | 6350 | 0.0001 | - |
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- | 6.6667 | 6400 | 0.0001 | 0.0266 |
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- | 6.7188 | 6450 | 0.0001 | - |
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- | 6.7708 | 6500 | 0.0001 | 0.0260 |
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- | 6.8229 | 6550 | 0.0001 | - |
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- | 6.875 | 6600 | 0.0001 | 0.0247 |
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- | 6.9271 | 6650 | 0.0001 | - |
1061
- | 6.9792 | 6700 | 0.0 | 0.0250 |
1062
- | 7.0312 | 6750 | 0.0001 | - |
1063
- | 7.0833 | 6800 | 0.0001 | 0.0255 |
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- | 7.1354 | 6850 | 0.0001 | - |
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- | 7.1875 | 6900 | 0.0001 | 0.0262 |
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- | 7.2396 | 6950 | 0.0001 | - |
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- | 7.2917 | 7000 | 0.0001 | 0.0267 |
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- | 7.3438 | 7050 | 0.0 | - |
1069
- | 7.3958 | 7100 | 0.0 | 0.0277 |
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- | 7.4479 | 7150 | 0.0 | - |
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- | 7.5 | 7200 | 0.0 | 0.0272 |
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- | 7.5521 | 7250 | 0.0 | - |
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- | 7.6042 | 7300 | 0.0 | 0.0253 |
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- | 7.6562 | 7350 | 0.0 | - |
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- | 7.7083 | 7400 | 0.0 | 0.0258 |
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- | 7.7604 | 7450 | 0.0 | - |
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- | 7.8125 | 7500 | 0.0 | 0.0261 |
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- | 7.8646 | 7550 | 0.0 | - |
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- | 7.9167 | 7600 | 0.0 | 0.0266 |
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- | 7.9688 | 7650 | 0.0 | - |
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- | 8.0208 | 7700 | 0.0 | 0.0259 |
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- | 8.0729 | 7750 | 0.0 | - |
1083
- | 8.125 | 7800 | 0.0 | 0.0258 |
1084
- | 8.1771 | 7850 | 0.0 | - |
1085
- | 8.2292 | 7900 | 0.0 | 0.0257 |
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  | 0.9896 | 950 | 0.0333 | - |
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  | 1.0417 | 1000 | 0.039 | 0.0108 |
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