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bert-base-cased-mnli

This model is a fine-tuned version of bert-base-cased on the GLUE MNLI dataset. It achieves the following results on the evaluation set:

  • Loss: 0.4392
  • Accuracy: 0.8280

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:

  • learning_rate: 2e-05
  • train_batch_size: 16
  • eval_batch_size: 8
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • lr_scheduler_warmup_ratio: 0.06
  • num_epochs: 10.0

Training results

Training Loss Epoch Step Validation Loss Accuracy
1.1127 0.02 500 1.0847 0.3851
1.0759 0.04 1000 1.0449 0.4540
1.006 0.06 1500 0.9296 0.5892
0.8848 0.08 2000 0.8357 0.6364
0.8063 0.1 2500 0.7549 0.6811
0.7527 0.12 3000 0.7219 0.6964
0.7259 0.14 3500 0.6928 0.7117
0.6822 0.16 4000 0.6547 0.7355
0.6826 0.18 4500 0.6424 0.7424
0.6625 0.2 5000 0.6370 0.7428
0.6676 0.22 5500 0.6116 0.7511
0.633 0.24 6000 0.6241 0.7526
0.629 0.26 6500 0.5994 0.7557
0.6161 0.29 7000 0.6057 0.7546
0.6003 0.31 7500 0.5514 0.7778
0.5847 0.33 8000 0.5475 0.7790
0.5747 0.35 8500 0.5481 0.7817
0.5579 0.37 9000 0.5356 0.7836
0.5719 0.39 9500 0.5311 0.7873
0.5666 0.41 10000 0.5242 0.7922
0.5586 0.43 10500 0.5295 0.7890
0.5604 0.45 11000 0.5239 0.7932
0.5511 0.47 11500 0.5271 0.7891
0.5379 0.49 12000 0.5082 0.8021
0.537 0.51 12500 0.5098 0.7983
0.5583 0.53 13000 0.5046 0.8011
0.5368 0.55 13500 0.5286 0.7937
0.5445 0.57 14000 0.5116 0.8009
0.5228 0.59 14500 0.5473 0.7912
0.5378 0.61 15000 0.4972 0.8030
0.5281 0.63 15500 0.4951 0.8068
0.5304 0.65 16000 0.5083 0.7989
0.539 0.67 16500 0.4953 0.8052
0.5189 0.69 17000 0.4962 0.8064
0.5241 0.71 17500 0.4939 0.8101
0.5128 0.73 18000 0.5054 0.8073
0.5074 0.75 18500 0.5074 0.8015
0.523 0.77 19000 0.4786 0.8144
0.5073 0.79 19500 0.4890 0.8131
0.4934 0.81 20000 0.4901 0.8104
0.5194 0.84 20500 0.4712 0.8147
0.5076 0.86 21000 0.4781 0.8109
0.5023 0.88 21500 0.4884 0.8132
0.5145 0.9 22000 0.4675 0.8159
0.5087 0.92 22500 0.4971 0.8041
0.499 0.94 23000 0.4767 0.8111
0.4964 0.96 23500 0.5074 0.8103
0.4992 0.98 24000 0.4786 0.8109
0.4936 1.0 24500 0.4812 0.8115
0.4122 1.02 25000 0.4860 0.8213
0.4022 1.04 25500 0.4916 0.8249
0.4028 1.06 26000 0.4567 0.8256
0.4023 1.08 26500 0.5356 0.7995
0.3888 1.1 27000 0.5084 0.8168
0.4084 1.12 27500 0.4924 0.8115
0.4108 1.14 28000 0.4779 0.8231
0.4175 1.16 28500 0.4759 0.8173
0.405 1.18 29000 0.4848 0.8174
0.4115 1.2 29500 0.4742 0.8163
0.4082 1.22 30000 0.5293 0.8139
0.4087 1.24 30500 0.4740 0.8214
0.3931 1.26 31000 0.4909 0.8204
0.4067 1.28 31500 0.4602 0.8248
0.4063 1.3 32000 0.4568 0.8252
0.4006 1.32 32500 0.4851 0.8209
0.4099 1.34 33000 0.4543 0.8295
0.4135 1.36 33500 0.4682 0.8268
0.4077 1.39 34000 0.4709 0.8241
0.4004 1.41 34500 0.4937 0.8231
0.4134 1.43 35000 0.4714 0.8250
0.4105 1.45 35500 0.4666 0.8256
0.4056 1.47 36000 0.4786 0.8240
0.4036 1.49 36500 0.4652 0.8254
0.4043 1.51 37000 0.4618 0.8274
0.4048 1.53 37500 0.4713 0.8294
0.4036 1.55 38000 0.4734 0.8265
0.4219 1.57 38500 0.4432 0.8295
0.3965 1.59 39000 0.4812 0.8230
0.4074 1.61 39500 0.4736 0.8251
0.4028 1.63 40000 0.4583 0.8261
0.3933 1.65 40500 0.4725 0.8284
0.4082 1.67 41000 0.4524 0.8270
0.415 1.69 41500 0.4564 0.8289
0.4177 1.71 42000 0.4635 0.8265
0.4093 1.73 42500 0.4488 0.8335
0.4117 1.75 43000 0.4690 0.8291
0.408 1.77 43500 0.4732 0.8203
0.4079 1.79 44000 0.4717 0.8277
0.4197 1.81 44500 0.4754 0.8259
0.4093 1.83 45000 0.4518 0.8315
0.4013 1.85 45500 0.4504 0.8308
0.3958 1.87 46000 0.4524 0.8281
0.4082 1.89 46500 0.4495 0.8305
0.4033 1.91 47000 0.4554 0.8272
0.4055 1.94 47500 0.4565 0.8266
0.398 1.96 48000 0.4699 0.8240
0.4044 1.98 48500 0.4459 0.8269
0.4023 2.0 49000 0.4623 0.8271
0.2913 2.02 49500 0.5247 0.8248
0.2915 2.04 50000 0.4998 0.8261
0.2675 2.06 50500 0.5703 0.8241
0.2708 2.08 51000 0.5629 0.8267
0.2802 2.1 51500 0.5333 0.8295
0.2847 2.12 52000 0.5118 0.8316
0.275 2.14 52500 0.5331 0.8279
0.2705 2.16 53000 0.5702 0.8186
0.2651 2.18 53500 0.5187 0.8301
0.2715 2.2 54000 0.5698 0.8230
0.2859 2.22 54500 0.5558 0.8287
0.2779 2.24 55000 0.5662 0.8303
0.2763 2.26 55500 0.5605 0.8246
0.2704 2.28 56000 0.5801 0.8310
0.2787 2.3 56500 0.5745 0.8224
0.3032 2.32 57000 0.5360 0.8252
0.282 2.34 57500 0.4963 0.8318
0.2921 2.36 58000 0.5654 0.8176
0.2934 2.38 58500 0.5242 0.8318
0.2788 2.4 59000 0.5904 0.8237
0.2897 2.42 59500 0.5342 0.8244
0.2795 2.44 60000 0.5495 0.8294
0.3001 2.46 60500 0.5422 0.8242
0.2831 2.49 61000 0.5394 0.8215
0.2925 2.51 61500 0.5181 0.8278
0.2886 2.53 62000 0.5727 0.8241
0.2983 2.55 62500 0.4796 0.8315
0.2897 2.57 63000 0.5624 0.8225
0.3107 2.59 63500 0.5108 0.8310
0.2994 2.61 64000 0.5153 0.8308
0.3015 2.63 64500 0.5199 0.8292
0.2973 2.65 65000 0.5756 0.8281
0.2997 2.67 65500 0.5135 0.8290
0.2987 2.69 66000 0.5447 0.8272
0.2874 2.71 66500 0.5268 0.8281
0.3095 2.73 67000 0.4899 0.8288
0.2992 2.75 67500 0.5107 0.8293
0.303 2.77 68000 0.5308 0.8280
0.3008 2.79 68500 0.5207 0.8330
0.3018 2.81 69000 0.5148 0.8265
0.3049 2.83 69500 0.5331 0.8285
0.3179 2.85 70000 0.4961 0.8310
0.3173 2.87 70500 0.5201 0.8319
0.2996 2.89 71000 0.5355 0.8349
0.2925 2.91 71500 0.5456 0.8291
0.3112 2.93 72000 0.4907 0.8316
0.306 2.95 72500 0.5189 0.8330
0.3043 2.97 73000 0.4903 0.8346
0.3133 2.99 73500 0.5277 0.8241
0.2258 3.01 74000 0.6482 0.8349
0.1931 3.04 74500 0.7001 0.8278
0.2004 3.06 75000 0.7123 0.8282
0.21 3.08 75500 0.6523 0.8230
0.1951 3.1 76000 0.6700 0.8328
0.2066 3.12 76500 0.6454 0.8245
0.2018 3.14 77000 0.6720 0.8329
0.2103 3.16 77500 0.6594 0.8272
0.2143 3.18 78000 0.6653 0.8287
0.21 3.2 78500 0.6134 0.8311
0.208 3.22 79000 0.7034 0.8337
0.211 3.24 79500 0.6400 0.8284
0.2127 3.26 80000 0.6509 0.8342
0.2181 3.28 80500 0.6740 0.8310
0.208 3.3 81000 0.6810 0.8306
0.215 3.32 81500 0.6483 0.8329
0.2112 3.34 82000 0.6621 0.8262
0.2241 3.36 82500 0.6127 0.8258
0.2128 3.38 83000 0.6406 0.8286
0.2375 3.4 83500 0.6295 0.8312
0.2147 3.42 84000 0.6305 0.8314
0.2342 3.44 84500 0.6310 0.8294
0.2286 3.46 85000 0.6614 0.8300
0.2108 3.48 85500 0.6604 0.8312
0.2288 3.5 86000 0.6229 0.8313
0.2249 3.52 86500 0.6229 0.8241
0.2191 3.54 87000 0.6363 0.8303
0.2229 3.57 87500 0.6613 0.8224
0.2252 3.59 88000 0.6487 0.8234
0.2248 3.61 88500 0.6279 0.8302
0.2227 3.63 89000 0.6609 0.8282
0.2175 3.65 89500 0.6393 0.8300
0.2126 3.67 90000 0.6208 0.8301
0.2222 3.69 90500 0.5796 0.8315
0.217 3.71 91000 0.6618 0.8327
0.2249 3.73 91500 0.6246 0.8326
0.2304 3.75 92000 0.5994 0.8328
0.2263 3.77 92500 0.6466 0.8280
0.2186 3.79 93000 0.6216 0.8265
0.2243 3.81 93500 0.6460 0.8220
0.2293 3.83 94000 0.6293 0.8242
0.2258 3.85 94500 0.6152 0.8303
0.2195 3.87 95000 0.6079 0.8275
0.2067 3.89 95500 0.6661 0.8235
0.2251 3.91 96000 0.6505 0.8268
0.233 3.93 96500 0.6256 0.8261
0.2406 3.95 97000 0.6000 0.8271
0.2119 3.97 97500 0.6684 0.8339
0.2368 3.99 98000 0.6182 0.8296
0.1768 4.01 98500 0.7741 0.8288
0.1459 4.03 99000 0.7897 0.8310
0.1538 4.05 99500 0.8029 0.8306
0.1507 4.07 100000 0.8052 0.8308
0.1703 4.09 100500 0.8227 0.8288
0.1602 4.12 101000 0.8112 0.8299
0.1616 4.14 101500 0.7852 0.8288
0.1689 4.16 102000 0.7107 0.8299
0.1506 4.18 102500 0.8631 0.8292
0.1725 4.2 103000 0.7750 0.8310
0.1553 4.22 103500 0.8073 0.8313
0.169 4.24 104000 0.7881 0.8345
0.1712 4.26 104500 0.7733 0.8292
0.1711 4.28 105000 0.7989 0.8302
0.1599 4.3 105500 0.7935 0.8265
0.1798 4.32 106000 0.7818 0.8269
0.179 4.34 106500 0.7610 0.8220
0.1655 4.36 107000 0.7380 0.8284
0.1751 4.38 107500 0.7645 0.8269
0.1831 4.4 108000 0.7583 0.8270
0.1659 4.42 108500 0.7804 0.8286
0.1622 4.44 109000 0.8106 0.8285
0.1892 4.46 109500 0.7328 0.8302
0.179 4.48 110000 0.7301 0.8270
0.169 4.5 110500 0.7589 0.8309
0.1781 4.52 111000 0.7714 0.8307
0.1772 4.54 111500 0.7736 0.8262
0.1706 4.56 112000 0.7867 0.8305
0.1747 4.58 112500 0.7819 0.8249
0.1814 4.6 113000 0.7312 0.8279
0.1778 4.62 113500 0.7775 0.8262
0.1816 4.64 114000 0.7786 0.8323
0.1848 4.67 114500 0.7804 0.8238
0.1787 4.69 115000 0.7459 0.8303
0.1613 4.71 115500 0.8105 0.8287
0.1864 4.73 116000 0.7469 0.8287
0.1838 4.75 116500 0.7508 0.8294
0.176 4.77 117000 0.7753 0.8294
0.1978 4.79 117500 0.7815 0.8284
0.1836 4.81 118000 0.7897 0.8225
0.1708 4.83 118500 0.8350 0.8270
0.1879 4.85 119000 0.7409 0.8285
0.1823 4.87 119500 0.7831 0.8289
0.19 4.89 120000 0.7433 0.8263
0.1845 4.91 120500 0.7195 0.8256
0.1829 4.93 121000 0.7550 0.8235
0.1729 4.95 121500 0.7562 0.8245
0.173 4.97 122000 0.7941 0.8276
0.1872 4.99 122500 0.7613 0.8304
0.1424 5.01 123000 0.8764 0.8258
0.1088 5.03 123500 0.9407 0.8303
0.1188 5.05 124000 0.9559 0.8290
0.1132 5.07 124500 0.9672 0.8213
0.1257 5.09 125000 0.9127 0.8291
0.1201 5.11 125500 1.0327 0.8226
0.1257 5.13 126000 0.9187 0.8272
0.1336 5.15 126500 0.8971 0.8291
0.1319 5.17 127000 0.9316 0.8256
0.133 5.19 127500 0.9140 0.8273
0.1294 5.22 128000 0.8752 0.8272
0.1315 5.24 128500 0.9288 0.8296
0.1234 5.26 129000 0.9681 0.8217
0.1232 5.28 129500 0.9213 0.8282
0.1309 5.3 130000 0.9321 0.8274
0.147 5.32 130500 0.8256 0.8340
0.1295 5.34 131000 0.9193 0.8246
0.1239 5.36 131500 0.9145 0.8335
0.1454 5.38 132000 0.8601 0.8294
0.1345 5.4 132500 0.9294 0.8301
0.1446 5.42 133000 0.8903 0.8299
0.14 5.44 133500 0.9664 0.8188
0.1412 5.46 134000 0.9688 0.8225
0.1393 5.48 134500 0.9102 0.8256
0.1487 5.5 135000 0.8585 0.8321
0.1363 5.52 135500 0.8892 0.8273
0.1388 5.54 136000 0.9253 0.8263
0.1286 5.56 136500 0.9117 0.8272
0.1406 5.58 137000 0.8725 0.8257
0.1377 5.6 137500 0.9155 0.8294
0.1407 5.62 138000 0.9327 0.8228
0.1308 5.64 138500 0.9619 0.8266
0.141 5.66 139000 0.9087 0.8290
0.1451 5.68 139500 0.9083 0.8258
0.1413 5.7 140000 0.9030 0.8253
0.1472 5.72 140500 0.8330 0.8311
0.1251 5.74 141000 0.9509 0.8239
0.1546 5.77 141500 0.8113 0.8301
0.1309 5.79 142000 0.9833 0.8238
0.1587 5.81 142500 0.8817 0.8263
0.1374 5.83 143000 0.8838 0.8273
0.1508 5.85 143500 0.8769 0.8308
0.1406 5.87 144000 0.8929 0.8309
0.1366 5.89 144500 0.9235 0.8301
0.1494 5.91 145000 0.8470 0.8289
0.1335 5.93 145500 0.9032 0.8300
0.1404 5.95 146000 0.8810 0.8306
0.1482 5.97 146500 0.9043 0.8278
0.1483 5.99 147000 0.9073 0.8283
0.1186 6.01 147500 0.9628 0.8271
0.078 6.03 148000 1.0228 0.8287
0.0917 6.05 148500 0.9993 0.8299
0.0898 6.07 149000 0.9852 0.8326
0.0971 6.09 149500 0.9814 0.8346
0.0882 6.11 150000 1.0538 0.8278
0.0829 6.13 150500 1.0677 0.8293
0.1079 6.15 151000 0.9678 0.8294
0.0904 6.17 151500 1.0365 0.8266
0.1016 6.19 152000 1.0043 0.8320
0.098 6.21 152500 0.9861 0.8321
0.0959 6.23 153000 0.9589 0.8350
0.096 6.25 153500 0.9867 0.8328
0.1019 6.27 154000 0.9825 0.8338
0.1065 6.29 154500 0.9864 0.8317
0.1077 6.32 155000 1.0051 0.8289
0.1035 6.34 155500 0.9882 0.8334
0.0873 6.36 156000 1.0419 0.8278
0.1019 6.38 156500 1.0334 0.8258
0.0993 6.4 157000 0.9954 0.8330
0.1116 6.42 157500 0.9941 0.8301
0.0996 6.44 158000 1.0413 0.8262
0.0987 6.46 158500 1.0250 0.8273
0.0968 6.48 159000 1.0690 0.8308
0.1145 6.5 159500 0.9717 0.8303
0.0991 6.52 160000 0.9853 0.8314
0.0997 6.54 160500 0.9904 0.8289
0.0984 6.56 161000 1.0008 0.8334
0.1092 6.58 161500 0.9623 0.8309
0.1035 6.6 162000 1.0328 0.8244
0.1156 6.62 162500 0.9976 0.8264
0.1067 6.64 163000 0.9704 0.8322
0.1139 6.66 163500 1.0199 0.8295
0.0948 6.68 164000 1.0384 0.8324
0.1092 6.7 164500 0.9703 0.8302
0.0987 6.72 165000 1.0323 0.8268
0.0918 6.74 165500 1.0378 0.8333
0.1062 6.76 166000 1.0150 0.8318
0.1069 6.78 166500 0.9688 0.8300
0.1046 6.8 167000 0.9943 0.8246
0.107 6.82 167500 0.9878 0.8296
0.0909 6.84 168000 1.0053 0.8287
0.1067 6.87 168500 0.9886 0.8270
0.1004 6.89 169000 0.9990 0.8296
0.0992 6.91 169500 1.0214 0.8291
0.1097 6.93 170000 1.0265 0.8242
0.1027 6.95 170500 1.0186 0.8286
0.1014 6.97 171000 0.9618 0.8286
0.0897 6.99 171500 1.0270 0.8318
0.087 7.01 172000 1.0727 0.8279
0.0598 7.03 172500 1.1137 0.8312
0.0641 7.05 173000 1.0740 0.8298
0.0614 7.07 173500 1.1526 0.8271
0.0589 7.09 174000 1.1481 0.8309
0.0624 7.11 174500 1.1475 0.8270
0.0679 7.13 175000 1.1185 0.8301
0.0618 7.15 175500 1.1509 0.8296
0.0765 7.17 176000 1.1362 0.8275
0.069 7.19 176500 1.1990 0.8298
0.0763 7.21 177000 1.1095 0.8292
0.0649 7.23 177500 1.1579 0.8266
0.0739 7.25 178000 1.1474 0.8299
0.0777 7.27 178500 1.0821 0.8333
0.0666 7.29 179000 1.1031 0.8311
0.0647 7.31 179500 1.1386 0.8292
0.0711 7.33 180000 1.1505 0.8271
0.0575 7.35 180500 1.1494 0.8263
0.0561 7.37 181000 1.2161 0.8270
0.0699 7.39 181500 1.1285 0.8310
0.0596 7.42 182000 1.1755 0.8291
0.0757 7.44 182500 1.1167 0.8330
0.0726 7.46 183000 1.1184 0.8298
0.0711 7.48 183500 1.1207 0.8310
0.07 7.5 184000 1.1214 0.8291
0.0819 7.52 184500 1.0905 0.8285
0.0647 7.54 185000 1.0851 0.8345
0.0814 7.56 185500 1.0697 0.8337
0.0764 7.58 186000 1.0697 0.8322
0.0701 7.6 186500 1.0965 0.8279
0.0651 7.62 187000 1.1121 0.8321
0.0683 7.64 187500 1.1246 0.8321
0.0682 7.66 188000 1.1285 0.8290
0.063 7.68 188500 1.1397 0.8327
0.0609 7.7 189000 1.1423 0.8306
0.0689 7.72 189500 1.1382 0.8349
0.0728 7.74 190000 1.1001 0.8380
0.0626 7.76 190500 1.1121 0.8319
0.0747 7.78 191000 1.0930 0.8288
0.0739 7.8 191500 1.0975 0.8307
0.0865 7.82 192000 1.0530 0.8309
0.0794 7.84 192500 1.0670 0.8302
0.0634 7.86 193000 1.0990 0.8348
0.0725 7.88 193500 1.1087 0.8325
0.0655 7.9 194000 1.0891 0.8360
0.0678 7.92 194500 1.1428 0.8262
0.0751 7.94 195000 1.1070 0.8326
0.0644 7.97 195500 1.1279 0.8347
0.0783 7.99 196000 1.0856 0.8357
0.0597 8.01 196500 1.1556 0.8335
0.0318 8.03 197000 1.2165 0.8292
0.0335 8.05 197500 1.2328 0.8308
0.0412 8.07 198000 1.2087 0.8293
0.0441 8.09 198500 1.2074 0.8360
0.048 8.11 199000 1.2072 0.8318
0.0402 8.13 199500 1.1964 0.8338
0.0553 8.15 200000 1.2450 0.8317
0.0391 8.17 200500 1.1994 0.8365
0.0428 8.19 201000 1.2593 0.8278
0.042 8.21 201500 1.2365 0.8280
0.0462 8.23 202000 1.2080 0.8294
0.0468 8.25 202500 1.2052 0.8309
0.0499 8.27 203000 1.1889 0.8314
0.0386 8.29 203500 1.1998 0.8344
0.0417 8.31 204000 1.2113 0.8306
0.0449 8.33 204500 1.2147 0.8308
0.0453 8.35 205000 1.2288 0.8298
0.0461 8.37 205500 1.2139 0.8298
0.0443 8.39 206000 1.2159 0.8305
0.0414 8.41 206500 1.2352 0.8314
0.0445 8.43 207000 1.2148 0.8317
0.0467 8.45 207500 1.2142 0.8317
0.0412 8.47 208000 1.2305 0.8326
0.0488 8.49 208500 1.2000 0.8307
0.0398 8.52 209000 1.2434 0.8308
0.0376 8.54 209500 1.2225 0.8347
0.0384 8.56 210000 1.2458 0.8322
0.0427 8.58 210500 1.2666 0.8299
0.046 8.6 211000 1.2675 0.8326
0.0482 8.62 211500 1.2514 0.8313
0.0428 8.64 212000 1.2442 0.8309
0.0398 8.66 212500 1.2553 0.8331
0.0467 8.68 213000 1.2608 0.8303
0.0355 8.7 213500 1.2646 0.8313
0.039 8.72 214000 1.2498 0.8329
0.0395 8.74 214500 1.2579 0.8329
0.0405 8.76 215000 1.2702 0.8326
0.0401 8.78 215500 1.2618 0.8326
0.0483 8.8 216000 1.2525 0.8300
0.0421 8.82 216500 1.2417 0.8349
0.0379 8.84 217000 1.2829 0.8275
0.0377 8.86 217500 1.2609 0.8327
0.0437 8.88 218000 1.2576 0.8306
0.0473 8.9 218500 1.2613 0.8304
0.041 8.92 219000 1.2588 0.8312
0.0455 8.94 219500 1.2495 0.8303
0.0439 8.96 220000 1.2259 0.8328
0.0445 8.98 220500 1.2252 0.8303
0.0475 9.0 221000 1.2289 0.8304
0.0292 9.02 221500 1.2341 0.8332
0.0273 9.04 222000 1.2633 0.8332
0.0211 9.07 222500 1.3210 0.8291
0.0183 9.09 223000 1.3403 0.8299
0.0323 9.11 223500 1.3470 0.8290
0.0287 9.13 224000 1.3351 0.8318
0.0316 9.15 224500 1.3348 0.8301
0.0314 9.17 225000 1.3089 0.8339
0.0227 9.19 225500 1.3239 0.8329
0.0322 9.21 226000 1.3147 0.8326
0.0266 9.23 226500 1.3301 0.8325
0.0296 9.25 227000 1.3318 0.8324
0.0267 9.27 227500 1.3228 0.8341
0.0258 9.29 228000 1.3154 0.8344
0.0275 9.31 228500 1.3212 0.8324
0.0242 9.33 229000 1.3314 0.8349
0.0193 9.35 229500 1.3317 0.8349
0.0241 9.37 230000 1.3180 0.8341
0.0255 9.39 230500 1.3172 0.8348
0.0193 9.41 231000 1.3233 0.8354
0.0235 9.43 231500 1.3447 0.8321
0.0241 9.45 232000 1.3474 0.8325
0.024 9.47 232500 1.3381 0.8333
0.0261 9.49 233000 1.3319 0.8333
0.026 9.51 233500 1.3453 0.8327
0.0264 9.53 234000 1.3304 0.8345
0.0308 9.55 234500 1.3235 0.8338
0.0226 9.57 235000 1.3160 0.8347
0.0293 9.6 235500 1.3122 0.8330
0.0256 9.62 236000 1.3295 0.8331
0.0325 9.64 236500 1.3268 0.8310
0.0281 9.66 237000 1.3304 0.8321
0.0228 9.68 237500 1.3326 0.8318
0.03 9.7 238000 1.3234 0.8321
0.029 9.72 238500 1.3354 0.8324
0.0212 9.74 239000 1.3303 0.8336
0.0199 9.76 239500 1.3393 0.8330
0.0254 9.78 240000 1.3396 0.8327
0.0237 9.8 240500 1.3355 0.8336
0.0229 9.82 241000 1.3368 0.8342
0.0251 9.84 241500 1.3388 0.8329
0.0255 9.86 242000 1.3362 0.8337
0.0206 9.88 242500 1.3369 0.8341
0.0352 9.9 243000 1.3408 0.8330
0.0201 9.92 243500 1.3358 0.8330
0.0252 9.94 244000 1.3379 0.8332
0.0294 9.96 244500 1.3330 0.8337
0.0222 9.98 245000 1.3340 0.8336

Framework versions

  • Transformers 4.21.3
  • Pytorch 1.7.1
  • Datasets 1.18.3
  • Tokenizers 0.11.6
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Dataset used to train WillHeld/bert-base-cased-mnli

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