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Bert_class_1e-06_266epoch
This model is a fine-tuned version of guoluo/Bert_1.5e_07 on an unknown dataset. It achieves the following results on the evaluation set:
- Train Loss: 0.0213
- Train Accuracy: 0.9976
- Validation Loss: 1.4092
- Validation Accuracy: 0.7254
- Train Lr: 9.653716e-07
- Epoch: 265
Model description
More information needed
Intended uses & limitations
More information needed
Training and evaluation data
More information needed
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
- optimizer: {'name': 'Adam', 'learning_rate': 9.653716e-07, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False}
- training_precision: float32
Training results
Train Loss | Train Accuracy | Validation Loss | Validation Accuracy | Train Lr | Epoch |
---|---|---|---|---|---|
1.2823 | 0.4776 | 1.0993 | 0.6761 | 1e-06 | 0 |
1.0339 | 0.6776 | 0.9839 | 0.6761 | 9.99999e-07 | 1 |
0.9705 | 0.6776 | 0.9658 | 0.6761 | 9.999969e-07 | 2 |
0.9486 | 0.6776 | 0.9590 | 0.6761 | 9.99994e-07 | 3 |
0.9369 | 0.6776 | 0.9544 | 0.6761 | 9.9999e-07 | 4 |
0.9332 | 0.6776 | 0.9470 | 0.6761 | 9.99985e-07 | 5 |
0.9205 | 0.6776 | 0.9421 | 0.6761 | 9.99979e-07 | 6 |
0.9135 | 0.6776 | 0.9374 | 0.6761 | 9.999719e-07 | 7 |
0.9113 | 0.6776 | 0.9340 | 0.6761 | 9.99964e-07 | 8 |
0.9005 | 0.6776 | 0.9294 | 0.6761 | 9.99955e-07 | 9 |
0.8896 | 0.6776 | 0.9242 | 0.6761 | 9.99945e-07 | 10 |
0.8746 | 0.6800 | 0.9191 | 0.6761 | 9.99934e-07 | 11 |
0.8649 | 0.6824 | 0.9143 | 0.6761 | 9.999219e-07 | 12 |
0.8621 | 0.6847 | 0.9095 | 0.6761 | 9.999089e-07 | 13 |
0.8506 | 0.6847 | 0.9019 | 0.6761 | 9.99895e-07 | 14 |
0.8434 | 0.6800 | 0.8943 | 0.6761 | 9.9988e-07 | 15 |
0.8286 | 0.6871 | 0.8885 | 0.6761 | 9.998639e-07 | 16 |
0.8239 | 0.6824 | 0.8814 | 0.6761 | 9.998469e-07 | 17 |
0.8181 | 0.6894 | 0.8785 | 0.6761 | 9.998289e-07 | 18 |
0.7962 | 0.6894 | 0.8731 | 0.6690 | 9.998099e-07 | 19 |
0.7908 | 0.7012 | 0.8671 | 0.6690 | 9.997899e-07 | 20 |
0.7640 | 0.6988 | 0.8641 | 0.6761 | 9.997689e-07 | 21 |
0.7644 | 0.7035 | 0.8590 | 0.6831 | 9.997469e-07 | 22 |
0.7512 | 0.7200 | 0.8558 | 0.6831 | 9.99724e-07 | 23 |
0.7394 | 0.7200 | 0.8527 | 0.6972 | 9.997e-07 | 24 |
0.7366 | 0.7271 | 0.8501 | 0.7113 | 9.99675e-07 | 25 |
0.7293 | 0.7247 | 0.8471 | 0.7042 | 9.996489e-07 | 26 |
0.7189 | 0.7529 | 0.8479 | 0.7113 | 9.99622e-07 | 27 |
0.7077 | 0.7341 | 0.8411 | 0.7183 | 9.99594e-07 | 28 |
0.6965 | 0.7671 | 0.8409 | 0.7183 | 9.99565e-07 | 29 |
0.6838 | 0.7482 | 0.8372 | 0.7113 | 9.99535e-07 | 30 |
0.6835 | 0.7506 | 0.8362 | 0.7113 | 9.99504e-07 | 31 |
0.6702 | 0.7812 | 0.8365 | 0.6901 | 9.99472e-07 | 32 |
0.6623 | 0.7812 | 0.8323 | 0.7113 | 9.994391e-07 | 33 |
0.6565 | 0.7553 | 0.8298 | 0.6972 | 9.994051e-07 | 34 |
0.6452 | 0.7718 | 0.8291 | 0.6901 | 9.993701e-07 | 35 |
0.6396 | 0.7718 | 0.8285 | 0.7113 | 9.993341e-07 | 36 |
0.6299 | 0.7765 | 0.8262 | 0.6831 | 9.992972e-07 | 37 |
0.6230 | 0.7953 | 0.8364 | 0.7113 | 9.992592e-07 | 38 |
0.6095 | 0.7741 | 0.8233 | 0.7113 | 9.992202e-07 | 39 |
0.6193 | 0.7718 | 0.8206 | 0.7113 | 9.991802e-07 | 40 |
0.6008 | 0.7859 | 0.8260 | 0.7254 | 9.991393e-07 | 41 |
0.5967 | 0.7859 | 0.8199 | 0.7254 | 9.990973e-07 | 42 |
0.5883 | 0.7835 | 0.8189 | 0.7183 | 9.990544e-07 | 43 |
0.5751 | 0.8071 | 0.8279 | 0.7324 | 9.990104e-07 | 44 |
0.5709 | 0.8000 | 0.8204 | 0.7324 | 9.989654e-07 | 45 |
0.5697 | 0.8047 | 0.8229 | 0.7254 | 9.989195e-07 | 46 |
0.5580 | 0.8094 | 0.8152 | 0.7254 | 9.988726e-07 | 47 |
0.5595 | 0.8071 | 0.8275 | 0.7324 | 9.988246e-07 | 48 |
0.5486 | 0.7929 | 0.8168 | 0.7324 | 9.987757e-07 | 49 |
0.5400 | 0.8094 | 0.8239 | 0.7254 | 9.987258e-07 | 50 |
0.5352 | 0.8071 | 0.8190 | 0.7183 | 9.986749e-07 | 51 |
0.5141 | 0.8235 | 0.8171 | 0.7183 | 9.986229e-07 | 52 |
0.5324 | 0.8024 | 0.8191 | 0.7183 | 9.985699e-07 | 53 |
0.5123 | 0.8024 | 0.8279 | 0.7254 | 9.98516e-07 | 54 |
0.5151 | 0.8165 | 0.8213 | 0.7113 | 9.984611e-07 | 55 |
0.4986 | 0.8118 | 0.8176 | 0.7183 | 9.984052e-07 | 56 |
0.4925 | 0.8259 | 0.8208 | 0.7113 | 9.983482e-07 | 57 |
0.4848 | 0.8188 | 0.8182 | 0.7042 | 9.982904e-07 | 58 |
0.4952 | 0.8282 | 0.8214 | 0.7113 | 9.982315e-07 | 59 |
0.4837 | 0.8329 | 0.8192 | 0.7113 | 9.981716e-07 | 60 |
0.4513 | 0.8518 | 0.8224 | 0.7183 | 9.981106e-07 | 61 |
0.4628 | 0.8376 | 0.8227 | 0.7183 | 9.980488e-07 | 62 |
0.4633 | 0.8447 | 0.8246 | 0.7183 | 9.979859e-07 | 63 |
0.4472 | 0.8447 | 0.8256 | 0.7113 | 9.97922e-07 | 64 |
0.4529 | 0.8306 | 0.8285 | 0.7183 | 9.978571e-07 | 65 |
0.4579 | 0.8329 | 0.8331 | 0.7042 | 9.977913e-07 | 66 |
0.4326 | 0.8376 | 0.8278 | 0.7113 | 9.977244e-07 | 67 |
0.4255 | 0.8447 | 0.8265 | 0.7113 | 9.976566e-07 | 68 |
0.4322 | 0.8494 | 0.8293 | 0.7042 | 9.975878e-07 | 69 |
0.4189 | 0.8424 | 0.8382 | 0.7042 | 9.97518e-07 | 70 |
0.4236 | 0.8494 | 0.8302 | 0.7113 | 9.974472e-07 | 71 |
0.4025 | 0.8494 | 0.8364 | 0.7042 | 9.973753e-07 | 72 |
0.4225 | 0.8659 | 0.8370 | 0.7113 | 9.973025e-07 | 73 |
0.4027 | 0.8541 | 0.8377 | 0.7042 | 9.972288e-07 | 74 |
0.4090 | 0.8588 | 0.8381 | 0.7113 | 9.97154e-07 | 75 |
0.3887 | 0.8682 | 0.8378 | 0.7042 | 9.970781e-07 | 76 |
0.4022 | 0.8706 | 0.8406 | 0.7042 | 9.970014e-07 | 77 |
0.3867 | 0.8682 | 0.8457 | 0.7113 | 9.969236e-07 | 78 |
0.3689 | 0.8706 | 0.8460 | 0.7113 | 9.968448e-07 | 79 |
0.3728 | 0.8729 | 0.8527 | 0.7042 | 9.967652e-07 | 80 |
0.3754 | 0.8706 | 0.8525 | 0.7042 | 9.966844e-07 | 81 |
0.3580 | 0.8871 | 0.8531 | 0.7113 | 9.966027e-07 | 82 |
0.3718 | 0.8659 | 0.8593 | 0.7042 | 9.965199e-07 | 83 |
0.3535 | 0.8800 | 0.8593 | 0.7324 | 9.964363e-07 | 84 |
0.3342 | 0.8824 | 0.8704 | 0.6972 | 9.963516e-07 | 85 |
0.3341 | 0.8918 | 0.8630 | 0.7324 | 9.962658e-07 | 86 |
0.3371 | 0.8776 | 0.8698 | 0.7042 | 9.961792e-07 | 87 |
0.3338 | 0.8847 | 0.8689 | 0.7042 | 9.960916e-07 | 88 |
0.3295 | 0.8776 | 0.8753 | 0.6972 | 9.960029e-07 | 89 |
0.3259 | 0.8847 | 0.8696 | 0.7183 | 9.959133e-07 | 90 |
0.3290 | 0.8776 | 0.8726 | 0.7183 | 9.958227e-07 | 91 |
0.3117 | 0.8988 | 0.8798 | 0.7324 | 9.95731e-07 | 92 |
0.3075 | 0.8965 | 0.8836 | 0.7254 | 9.956385e-07 | 93 |
0.2905 | 0.9129 | 0.8868 | 0.7183 | 9.95545e-07 | 94 |
0.2979 | 0.9153 | 0.8888 | 0.7183 | 9.954504e-07 | 95 |
0.3031 | 0.8800 | 0.8956 | 0.7324 | 9.953548e-07 | 96 |
0.2883 | 0.9035 | 0.8984 | 0.7042 | 9.952582e-07 | 97 |
0.2835 | 0.9106 | 0.8969 | 0.7254 | 9.951607e-07 | 98 |
0.2803 | 0.9059 | 0.8998 | 0.7254 | 9.950621e-07 | 99 |
0.2812 | 0.9176 | 0.9034 | 0.7254 | 9.949626e-07 | 100 |
0.2714 | 0.9153 | 0.9028 | 0.7183 | 9.948621e-07 | 101 |
0.2905 | 0.9059 | 0.9144 | 0.7254 | 9.947606e-07 | 102 |
0.2631 | 0.9224 | 0.9143 | 0.6972 | 9.946582e-07 | 103 |
0.2679 | 0.9176 | 0.9180 | 0.7254 | 9.945547e-07 | 104 |
0.2583 | 0.9224 | 0.9206 | 0.7042 | 9.944504e-07 | 105 |
0.2613 | 0.9200 | 0.9286 | 0.7254 | 9.94345e-07 | 106 |
0.2669 | 0.9012 | 0.9237 | 0.7254 | 9.942386e-07 | 107 |
0.2571 | 0.9153 | 0.9351 | 0.7254 | 9.941313e-07 | 108 |
0.2570 | 0.9106 | 0.9306 | 0.7324 | 9.940229e-07 | 109 |
0.2344 | 0.9200 | 0.9396 | 0.7183 | 9.939135e-07 | 110 |
0.2359 | 0.9271 | 0.9369 | 0.7394 | 9.938033e-07 | 111 |
0.2395 | 0.9271 | 0.9522 | 0.7042 | 9.93692e-07 | 112 |
0.2408 | 0.9247 | 0.9509 | 0.7183 | 9.935796e-07 | 113 |
0.2330 | 0.9294 | 0.9561 | 0.7042 | 9.934664e-07 | 114 |
0.2247 | 0.9271 | 0.9539 | 0.7183 | 9.933522e-07 | 115 |
0.2192 | 0.9318 | 0.9705 | 0.7042 | 9.93237e-07 | 116 |
0.2173 | 0.9341 | 0.9621 | 0.7254 | 9.931208e-07 | 117 |
0.2138 | 0.9200 | 0.9679 | 0.7183 | 9.930036e-07 | 118 |
0.2239 | 0.9176 | 0.9733 | 0.6972 | 9.928855e-07 | 119 |
0.2188 | 0.9341 | 0.9838 | 0.7042 | 9.927663e-07 | 120 |
0.2116 | 0.9341 | 0.9764 | 0.7324 | 9.926462e-07 | 121 |
0.2061 | 0.9200 | 0.9840 | 0.7183 | 9.925251e-07 | 122 |
0.2061 | 0.9435 | 0.9798 | 0.7254 | 9.92403e-07 | 123 |
0.2049 | 0.9388 | 1.0056 | 0.7042 | 9.9228e-07 | 124 |
0.1947 | 0.9459 | 0.9898 | 0.7254 | 9.92156e-07 | 125 |
0.1990 | 0.9365 | 0.9935 | 0.6972 | 9.92031e-07 | 126 |
0.1945 | 0.9506 | 0.9997 | 0.7113 | 9.91905e-07 | 127 |
0.1955 | 0.9365 | 0.9972 | 0.7254 | 9.91778e-07 | 128 |
0.1845 | 0.9459 | 1.0044 | 0.7254 | 9.916502e-07 | 129 |
0.1722 | 0.9388 | 1.0057 | 0.7183 | 9.915212e-07 | 130 |
0.1693 | 0.9576 | 1.0118 | 0.7113 | 9.913914e-07 | 131 |
0.1837 | 0.9318 | 1.0126 | 0.7113 | 9.912605e-07 | 132 |
0.1894 | 0.9412 | 1.0254 | 0.6972 | 9.911287e-07 | 133 |
0.1702 | 0.9506 | 1.0156 | 0.7254 | 9.909959e-07 | 134 |
0.1697 | 0.9576 | 1.0184 | 0.7183 | 9.908621e-07 | 135 |
0.1694 | 0.9459 | 1.0179 | 0.7394 | 9.907274e-07 | 136 |
0.1587 | 0.9553 | 1.0255 | 0.7183 | 9.905916e-07 | 137 |
0.1590 | 0.9576 | 1.0308 | 0.7324 | 9.90455e-07 | 138 |
0.1670 | 0.9576 | 1.0376 | 0.7254 | 9.903173e-07 | 139 |
0.1606 | 0.9482 | 1.0405 | 0.7254 | 9.901787e-07 | 140 |
0.1605 | 0.9576 | 1.0468 | 0.7324 | 9.900391e-07 | 141 |
0.1476 | 0.9624 | 1.0470 | 0.7183 | 9.898986e-07 | 142 |
0.1493 | 0.9553 | 1.0530 | 0.7183 | 9.89757e-07 | 143 |
0.1292 | 0.9718 | 1.0573 | 0.7183 | 9.896146e-07 | 144 |
0.1393 | 0.9694 | 1.0655 | 0.7183 | 9.894711e-07 | 145 |
0.1458 | 0.9529 | 1.0627 | 0.7324 | 9.893266e-07 | 146 |
0.1319 | 0.9694 | 1.0809 | 0.7042 | 9.891812e-07 | 147 |
0.1358 | 0.9624 | 1.0716 | 0.7254 | 9.890348e-07 | 148 |
0.1514 | 0.9624 | 1.0863 | 0.7113 | 9.888875e-07 | 149 |
0.1384 | 0.9624 | 1.0777 | 0.7324 | 9.887391e-07 | 150 |
0.1286 | 0.9694 | 1.0907 | 0.7113 | 9.885898e-07 | 151 |
0.1316 | 0.9694 | 1.0914 | 0.7183 | 9.884395e-07 | 152 |
0.1310 | 0.9671 | 1.0933 | 0.7183 | 9.882883e-07 | 153 |
0.1331 | 0.9647 | 1.0940 | 0.7254 | 9.881361e-07 | 154 |
0.1225 | 0.9718 | 1.0998 | 0.7183 | 9.87983e-07 | 155 |
0.1176 | 0.9718 | 1.1027 | 0.7183 | 9.878289e-07 | 156 |
0.1205 | 0.9671 | 1.1042 | 0.7183 | 9.876738e-07 | 157 |
0.1295 | 0.9647 | 1.1100 | 0.7183 | 9.875179e-07 | 158 |
0.1097 | 0.9718 | 1.1243 | 0.7183 | 9.873609e-07 | 159 |
0.1072 | 0.9812 | 1.1196 | 0.7183 | 9.87203e-07 | 160 |
0.1063 | 0.9788 | 1.1262 | 0.7254 | 9.87044e-07 | 161 |
0.1208 | 0.9647 | 1.1248 | 0.7042 | 9.868842e-07 | 162 |
0.1120 | 0.9694 | 1.1296 | 0.7183 | 9.867233e-07 | 163 |
0.1123 | 0.9694 | 1.1367 | 0.7183 | 9.865615e-07 | 164 |
0.0972 | 0.9882 | 1.1382 | 0.7183 | 9.863987e-07 | 165 |
0.1175 | 0.9647 | 1.1515 | 0.7254 | 9.86235e-07 | 166 |
0.1136 | 0.9741 | 1.1551 | 0.7183 | 9.860704e-07 | 167 |
0.0929 | 0.9859 | 1.1558 | 0.7183 | 9.859048e-07 | 168 |
0.0895 | 0.9812 | 1.1637 | 0.7183 | 9.857382e-07 | 169 |
0.1013 | 0.9718 | 1.1599 | 0.7183 | 9.855706e-07 | 170 |
0.1026 | 0.9718 | 1.1607 | 0.7183 | 9.854022e-07 | 171 |
0.0983 | 0.9788 | 1.1601 | 0.7254 | 9.852326e-07 | 172 |
0.0809 | 0.9882 | 1.1673 | 0.7183 | 9.850622e-07 | 173 |
0.0923 | 0.9765 | 1.1763 | 0.7254 | 9.848909e-07 | 174 |
0.0840 | 0.9835 | 1.1775 | 0.7254 | 9.847186e-07 | 175 |
0.0887 | 0.9812 | 1.1881 | 0.7254 | 9.845453e-07 | 176 |
0.0922 | 0.9718 | 1.1893 | 0.7254 | 9.84371e-07 | 177 |
0.0794 | 0.9882 | 1.1944 | 0.7254 | 9.841958e-07 | 178 |
0.0826 | 0.9835 | 1.2019 | 0.7113 | 9.840197e-07 | 179 |
0.0725 | 0.9929 | 1.1993 | 0.7254 | 9.838426e-07 | 180 |
0.0727 | 0.9929 | 1.2000 | 0.7113 | 9.836646e-07 | 181 |
0.0759 | 0.9859 | 1.2061 | 0.7254 | 9.834856e-07 | 182 |
0.0945 | 0.9788 | 1.2160 | 0.7113 | 9.833057e-07 | 183 |
0.0796 | 0.9812 | 1.2021 | 0.7254 | 9.831248e-07 | 184 |
0.0792 | 0.9835 | 1.2152 | 0.7183 | 9.829429e-07 | 185 |
0.0803 | 0.9859 | 1.2169 | 0.7183 | 9.827601e-07 | 186 |
0.0835 | 0.9812 | 1.2237 | 0.7183 | 9.825764e-07 | 187 |
0.0680 | 0.9859 | 1.2224 | 0.7113 | 9.823916e-07 | 188 |
0.0898 | 0.9812 | 1.2188 | 0.7183 | 9.82206e-07 | 189 |
0.0780 | 0.9788 | 1.2196 | 0.7113 | 9.820194e-07 | 190 |
0.0759 | 0.9835 | 1.2473 | 0.6901 | 9.818318e-07 | 191 |
0.0915 | 0.9694 | 1.2324 | 0.7042 | 9.816433e-07 | 192 |
0.0767 | 0.9859 | 1.2285 | 0.7042 | 9.814539e-07 | 193 |
0.0663 | 0.9906 | 1.2300 | 0.7113 | 9.812636e-07 | 194 |
0.0795 | 0.9835 | 1.2481 | 0.7042 | 9.810723e-07 | 195 |
0.0686 | 0.9882 | 1.2451 | 0.7042 | 9.8088e-07 | 196 |
0.0702 | 0.9835 | 1.2363 | 0.7113 | 9.806869e-07 | 197 |
0.0751 | 0.9812 | 1.2419 | 0.7113 | 9.804927e-07 | 198 |
0.0680 | 0.9859 | 1.2398 | 0.7113 | 9.802976e-07 | 199 |
0.0543 | 0.9882 | 1.2477 | 0.7042 | 9.801016e-07 | 200 |
0.0666 | 0.9835 | 1.2703 | 0.6972 | 9.799047e-07 | 201 |
0.0704 | 0.9859 | 1.2476 | 0.7042 | 9.797068e-07 | 202 |
0.0634 | 0.9859 | 1.2609 | 0.7042 | 9.79508e-07 | 203 |
0.0650 | 0.9882 | 1.2557 | 0.7113 | 9.793082e-07 | 204 |
0.0533 | 0.9976 | 1.2743 | 0.7113 | 9.791074e-07 | 205 |
0.0585 | 0.9882 | 1.2753 | 0.7113 | 9.789057e-07 | 206 |
0.0596 | 0.9929 | 1.2881 | 0.7042 | 9.787032e-07 | 207 |
0.0593 | 0.9953 | 1.2948 | 0.7042 | 9.784997e-07 | 208 |
0.0625 | 0.9859 | 1.2883 | 0.7042 | 9.782952e-07 | 209 |
0.0556 | 0.9929 | 1.2802 | 0.7113 | 9.780898e-07 | 210 |
0.0615 | 0.9812 | 1.2972 | 0.7113 | 9.778835e-07 | 211 |
0.0621 | 0.9859 | 1.3030 | 0.6972 | 9.776762e-07 | 212 |
0.0559 | 0.9882 | 1.2857 | 0.7183 | 9.774681e-07 | 213 |
0.0635 | 0.9859 | 1.3151 | 0.7042 | 9.772589e-07 | 214 |
0.0544 | 0.9882 | 1.2969 | 0.7113 | 9.770488e-07 | 215 |
0.0477 | 0.9976 | 1.2981 | 0.7113 | 9.768378e-07 | 216 |
0.0554 | 0.9882 | 1.3156 | 0.7113 | 9.766259e-07 | 217 |
0.0548 | 0.9906 | 1.3094 | 0.7113 | 9.76413e-07 | 218 |
0.0470 | 0.9976 | 1.3185 | 0.7042 | 9.761993e-07 | 219 |
0.0489 | 0.9953 | 1.3197 | 0.7042 | 9.759846e-07 | 220 |
0.0436 | 0.9976 | 1.3024 | 0.7113 | 9.757689e-07 | 221 |
0.0456 | 0.9953 | 1.3061 | 0.7113 | 9.755523e-07 | 222 |
0.0417 | 0.9976 | 1.3189 | 0.7042 | 9.753348e-07 | 223 |
0.0416 | 0.9953 | 1.3220 | 0.7042 | 9.751164e-07 | 224 |
0.0369 | 1.0 | 1.3211 | 0.7113 | 9.748971e-07 | 225 |
0.0570 | 0.9859 | 1.3274 | 0.7042 | 9.746768e-07 | 226 |
0.0416 | 0.9929 | 1.3409 | 0.6901 | 9.744556e-07 | 227 |
0.0314 | 1.0 | 1.3376 | 0.7042 | 9.742334e-07 | 228 |
0.0421 | 0.9929 | 1.3242 | 0.7183 | 9.740104e-07 | 229 |
0.0398 | 0.9976 | 1.3331 | 0.7042 | 9.737864e-07 | 230 |
0.0483 | 0.9882 | 1.3431 | 0.7042 | 9.735616e-07 | 231 |
0.0356 | 0.9953 | 1.3526 | 0.7042 | 9.733358e-07 | 232 |
0.0392 | 0.9953 | 1.3500 | 0.7042 | 9.731091e-07 | 233 |
0.0413 | 0.9953 | 1.3659 | 0.6972 | 9.728815e-07 | 234 |
0.0371 | 0.9929 | 1.3473 | 0.7042 | 9.726529e-07 | 235 |
0.0383 | 0.9929 | 1.3689 | 0.6972 | 9.724233e-07 | 236 |
0.0452 | 0.9953 | 1.3552 | 0.7042 | 9.721929e-07 | 237 |
0.0408 | 0.9953 | 1.3430 | 0.7113 | 9.719615e-07 | 238 |
0.0507 | 0.9906 | 1.3656 | 0.7042 | 9.717293e-07 | 239 |
0.0437 | 0.9953 | 1.3735 | 0.6972 | 9.714961e-07 | 240 |
0.0368 | 0.9929 | 1.3713 | 0.7113 | 9.71262e-07 | 241 |
0.0381 | 0.9976 | 1.3793 | 0.6972 | 9.71027e-07 | 242 |
0.0369 | 0.9953 | 1.3835 | 0.7113 | 9.707911e-07 | 243 |
0.0343 | 0.9976 | 1.3778 | 0.7183 | 9.705543e-07 | 244 |
0.0321 | 0.9929 | 1.3790 | 0.7113 | 9.703166e-07 | 245 |
0.0367 | 0.9953 | 1.3830 | 0.7113 | 9.70078e-07 | 246 |
0.0302 | 0.9953 | 1.3828 | 0.7113 | 9.698384e-07 | 247 |
0.0333 | 0.9929 | 1.3821 | 0.7113 | 9.69598e-07 | 248 |
0.0386 | 0.9929 | 1.3962 | 0.7113 | 9.693566e-07 | 249 |
0.0335 | 0.9929 | 1.4009 | 0.7113 | 9.691144e-07 | 250 |
0.0481 | 0.9835 | 1.3924 | 0.7113 | 9.688712e-07 | 251 |
0.0361 | 0.9953 | 1.3923 | 0.7113 | 9.686271e-07 | 252 |
0.0343 | 0.9906 | 1.4150 | 0.6972 | 9.683821e-07 | 253 |
0.0429 | 0.9906 | 1.3859 | 0.7254 | 9.681362e-07 | 254 |
0.0353 | 0.9906 | 1.4019 | 0.7113 | 9.678894e-07 | 255 |
0.0317 | 0.9929 | 1.4072 | 0.7113 | 9.676417e-07 | 256 |
0.0231 | 1.0 | 1.4038 | 0.7113 | 9.67393e-07 | 257 |
0.0240 | 1.0 | 1.4172 | 0.7183 | 9.671435e-07 | 258 |
0.0358 | 0.9882 | 1.4316 | 0.7042 | 9.66893e-07 | 259 |
0.0381 | 0.9906 | 1.4047 | 0.7254 | 9.666417e-07 | 260 |
0.0311 | 0.9929 | 1.4056 | 0.7113 | 9.663894e-07 | 261 |
0.0274 | 0.9976 | 1.4240 | 0.7113 | 9.661362e-07 | 262 |
0.0305 | 0.9976 | 1.4322 | 0.7113 | 9.658822e-07 | 263 |
0.0322 | 0.9929 | 1.4127 | 0.7183 | 9.656274e-07 | 264 |
0.0213 | 0.9976 | 1.4092 | 0.7254 | 9.653716e-07 | 265 |
Framework versions
- Transformers 4.30.0.dev0
- TensorFlow 2.9.1
- Datasets 2.8.0
- Tokenizers 0.13.2