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pingkeest
/
newly_fine_tuned_bert

Text Classification
Transformers
TensorBoard
Safetensors
bert
Generated from Trainer
Inference Endpoints
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  1. README.md +205 -12
  2. model.safetensors +1 -1
  3. runs/Nov03_17-12-40_PingkeePC/events.out.tfevents.1730625163.PingkeePC +2 -2
README.md CHANGED
@@ -19,10 +19,10 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.1276
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- - F1: 0.0
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- - Roc Auc: 0.4994
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- - Accuracy: 0.0
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  ## Model description
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@@ -41,7 +41,7 @@ More information needed
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  ### Training hyperparameters
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  The following hyperparameters were used during training:
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- - learning_rate: 5e-06
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  - train_batch_size: 8
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  - eval_batch_size: 8
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  - seed: 42
@@ -53,13 +53,206 @@ The following hyperparameters were used during training:
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  | Training Loss | Epoch | Step | Validation Loss | F1 | Roc Auc | Accuracy |
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  |:-------------:|:-----:|:----:|:---------------:|:------:|:-------:|:--------:|
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- | 0.2255 | 1.0 | 22 | 0.2126 | 0.0590 | 0.5616 | 0.0 |
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- | 0.1991 | 2.0 | 44 | 0.1911 | 0.0634 | 0.5695 | 0.0 |
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- | 0.1838 | 3.0 | 66 | 0.1751 | 0.0596 | 0.5482 | 0.0 |
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- | 0.1701 | 4.0 | 88 | 0.1614 | 0.0305 | 0.4835 | 0.0 |
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- | 0.153 | 5.0 | 110 | 0.1491 | 0.0244 | 0.4878 | 0.0 |
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- | 0.1427 | 6.0 | 132 | 0.1378 | 0.0408 | 0.5079 | 0.05 |
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- | 0.1332 | 7.0 | 154 | 0.1276 | 0.0 | 0.4994 | 0.0 |
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
63
 
64
 
65
  ### Framework versions
 
19
 
20
  This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on an unknown dataset.
21
  It achieves the following results on the evaluation set:
22
+ - Loss: 0.0565
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+ - F1: 0.6207
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+ - Roc Auc: 0.725
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+ - Accuracy: 0.45
26
 
27
  ## Model description
28
 
 
41
  ### Training hyperparameters
42
 
43
  The following hyperparameters were used during training:
44
+ - learning_rate: 2e-05
45
  - train_batch_size: 8
46
  - eval_batch_size: 8
47
  - seed: 42
 
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  | Training Loss | Epoch | Step | Validation Loss | F1 | Roc Auc | Accuracy |
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  |:-------------:|:-----:|:----:|:---------------:|:------:|:-------:|:--------:|
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+ | No log | 1.0 | 22 | 0.4798 | 0.0 | 0.4957 | 0.0 |
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+ | No log | 2.0 | 44 | 0.3421 | 0.0 | 0.5 | 0.0 |
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+ | No log | 3.0 | 66 | 0.2614 | 0.0 | 0.5 | 0.0 |
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+ | No log | 4.0 | 88 | 0.2105 | 0.0 | 0.5 | 0.0 |
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+ | No log | 5.0 | 110 | 0.1780 | 0.0 | 0.5 | 0.0 |
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+ | No log | 6.0 | 132 | 0.1579 | 0.0 | 0.5 | 0.0 |
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+ | No log | 7.0 | 154 | 0.1448 | 0.0 | 0.5 | 0.0 |
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+ | No log | 8.0 | 176 | 0.1356 | 0.0 | 0.5 | 0.0 |
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+ | No log | 9.0 | 198 | 0.1295 | 0.0 | 0.5 | 0.0 |
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+ | No log | 10.0 | 220 | 0.1252 | 0.0 | 0.5 | 0.0 |
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+ | No log | 11.0 | 242 | 0.1221 | 0.0 | 0.5 | 0.0 |
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+ | No log | 12.0 | 264 | 0.1199 | 0.0 | 0.5 | 0.0 |
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+ | No log | 13.0 | 286 | 0.1184 | 0.0 | 0.5 | 0.0 |
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+ | No log | 14.0 | 308 | 0.1169 | 0.0 | 0.5 | 0.0 |
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+ | No log | 15.0 | 330 | 0.1161 | 0.0 | 0.5 | 0.0 |
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+ | No log | 16.0 | 352 | 0.1153 | 0.0 | 0.5 | 0.0 |
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+ | No log | 17.0 | 374 | 0.1147 | 0.0 | 0.5 | 0.0 |
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+ | No log | 18.0 | 396 | 0.1142 | 0.0 | 0.5 | 0.0 |
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+ | No log | 19.0 | 418 | 0.1136 | 0.0 | 0.5 | 0.0 |
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+ | No log | 20.0 | 440 | 0.1129 | 0.0 | 0.5 | 0.0 |
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+ | No log | 21.0 | 462 | 0.1127 | 0.0 | 0.5 | 0.0 |
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+ | No log | 22.0 | 484 | 0.1121 | 0.0 | 0.5 | 0.0 |
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+ | 0.1722 | 23.0 | 506 | 0.1113 | 0.0 | 0.5 | 0.0 |
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+ | 0.1722 | 24.0 | 528 | 0.1112 | 0.0 | 0.5 | 0.0 |
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+ | 0.1722 | 25.0 | 550 | 0.1104 | 0.0 | 0.5 | 0.0 |
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+ | 0.1722 | 26.0 | 572 | 0.1098 | 0.0 | 0.5 | 0.0 |
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+ | 0.1722 | 27.0 | 594 | 0.1099 | 0.0 | 0.5 | 0.0 |
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+ | 0.1722 | 28.0 | 616 | 0.1086 | 0.0 | 0.5 | 0.0 |
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+ | 0.1722 | 29.0 | 638 | 0.1081 | 0.0 | 0.5 | 0.0 |
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+ | 0.1722 | 30.0 | 660 | 0.1074 | 0.0 | 0.5 | 0.0 |
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+ | 0.1722 | 31.0 | 682 | 0.1058 | 0.0 | 0.5 | 0.0 |
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+ | 0.1722 | 32.0 | 704 | 0.1056 | 0.0 | 0.5 | 0.0 |
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+ | 0.1722 | 33.0 | 726 | 0.1049 | 0.0 | 0.5 | 0.0 |
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+ | 0.1722 | 34.0 | 748 | 0.1041 | 0.0 | 0.5 | 0.0 |
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+ | 0.1722 | 35.0 | 770 | 0.1030 | 0.0 | 0.5 | 0.0 |
91
+ | 0.1722 | 36.0 | 792 | 0.1013 | 0.0 | 0.5 | 0.0 |
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+ | 0.1722 | 37.0 | 814 | 0.1006 | 0.0 | 0.5 | 0.0 |
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+ | 0.1722 | 38.0 | 836 | 0.1000 | 0.0 | 0.5 | 0.0 |
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+ | 0.1722 | 39.0 | 858 | 0.0981 | 0.0 | 0.5 | 0.0 |
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+ | 0.1722 | 41.0 | 902 | 0.0968 | 0.0 | 0.5 | 0.0 |
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+ | 0.1722 | 42.0 | 924 | 0.0959 | 0.0 | 0.5 | 0.0 |
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+ | 0.1722 | 44.0 | 968 | 0.0938 | 0.0 | 0.5 | 0.0 |
100
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107
+ | 0.0886 | 52.0 | 1144 | 0.0869 | 0.0 | 0.5 | 0.0 |
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116
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118
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119
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121
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122
+ | 0.0886 | 67.0 | 1474 | 0.0744 | 0.3333 | 0.6 | 0.2 |
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124
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125
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127
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128
+ | 0.0559 | 73.0 | 1606 | 0.0698 | 0.4 | 0.625 | 0.25 |
129
+ | 0.0559 | 74.0 | 1628 | 0.0707 | 0.3333 | 0.6 | 0.2 |
130
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131
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132
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133
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134
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135
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136
+ | 0.0559 | 81.0 | 1782 | 0.0683 | 0.4615 | 0.65 | 0.3 |
137
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138
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139
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140
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141
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142
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143
+ | 0.0559 | 88.0 | 1936 | 0.0658 | 0.4615 | 0.65 | 0.3 |
144
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145
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146
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147
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148
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149
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150
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151
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152
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153
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154
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155
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156
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157
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158
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159
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160
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161
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162
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163
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164
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165
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166
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167
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168
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169
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170
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171
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172
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173
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174
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175
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176
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177
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178
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179
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180
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181
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182
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183
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184
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185
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186
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187
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188
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189
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190
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191
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192
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193
+ | 0.0211 | 138.0 | 3036 | 0.0589 | 0.5714 | 0.7 | 0.4 |
194
+ | 0.0211 | 139.0 | 3058 | 0.0576 | 0.6207 | 0.725 | 0.45 |
195
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196
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197
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198
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199
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200
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201
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202
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203
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204
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205
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206
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207
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208
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209
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210
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211
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212
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213
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214
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215
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216
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217
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218
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219
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220
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221
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222
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223
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224
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225
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226
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227
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228
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229
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230
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231
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232
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233
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234
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235
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236
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237
+ | 0.0158 | 182.0 | 4004 | 0.0564 | 0.6207 | 0.725 | 0.45 |
238
+ | 0.0158 | 183.0 | 4026 | 0.0567 | 0.6207 | 0.725 | 0.45 |
239
+ | 0.0158 | 184.0 | 4048 | 0.0567 | 0.6207 | 0.725 | 0.45 |
240
+ | 0.0158 | 185.0 | 4070 | 0.0568 | 0.6207 | 0.725 | 0.45 |
241
+ | 0.0158 | 186.0 | 4092 | 0.0560 | 0.6207 | 0.725 | 0.45 |
242
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243
+ | 0.0158 | 188.0 | 4136 | 0.0565 | 0.6207 | 0.725 | 0.45 |
244
+ | 0.0158 | 189.0 | 4158 | 0.0564 | 0.6207 | 0.725 | 0.45 |
245
+ | 0.0158 | 190.0 | 4180 | 0.0566 | 0.6207 | 0.725 | 0.45 |
246
+ | 0.0158 | 191.0 | 4202 | 0.0566 | 0.6207 | 0.725 | 0.45 |
247
+ | 0.0158 | 192.0 | 4224 | 0.0568 | 0.6207 | 0.725 | 0.45 |
248
+ | 0.0158 | 193.0 | 4246 | 0.0567 | 0.6207 | 0.725 | 0.45 |
249
+ | 0.0158 | 194.0 | 4268 | 0.0565 | 0.6207 | 0.725 | 0.45 |
250
+ | 0.0158 | 195.0 | 4290 | 0.0563 | 0.6207 | 0.725 | 0.45 |
251
+ | 0.0158 | 196.0 | 4312 | 0.0563 | 0.6207 | 0.725 | 0.45 |
252
+ | 0.0158 | 197.0 | 4334 | 0.0564 | 0.6207 | 0.725 | 0.45 |
253
+ | 0.0158 | 198.0 | 4356 | 0.0565 | 0.6207 | 0.725 | 0.45 |
254
+ | 0.0158 | 199.0 | 4378 | 0.0565 | 0.6207 | 0.725 | 0.45 |
255
+ | 0.0158 | 200.0 | 4400 | 0.0565 | 0.6207 | 0.725 | 0.45 |
256
 
257
 
258
  ### Framework versions
model.safetensors CHANGED
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runs/Nov03_17-12-40_PingkeePC/events.out.tfevents.1730625163.PingkeePC CHANGED
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