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distilbert-base-cased-finetuned-ner-finetuned-ner
This model is a fine-tuned version of topmas/distilbert-base-cased-finetuned-ner on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.3797
- Precision: 0.6051
- Recall: 0.6048
- F1: 0.6049
- Accuracy: 0.9421
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: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 200
Training results
Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy |
---|---|---|---|---|---|---|---|
No log | 1.0 | 17 | 0.4153 | 0.3326 | 0.1698 | 0.2249 | 0.8947 |
No log | 2.0 | 34 | 0.3612 | 0.3385 | 0.2862 | 0.3102 | 0.9080 |
No log | 3.0 | 51 | 0.3411 | 0.4266 | 0.3058 | 0.3562 | 0.9141 |
No log | 4.0 | 68 | 0.3186 | 0.4545 | 0.3598 | 0.4017 | 0.9171 |
No log | 5.0 | 85 | 0.2984 | 0.4233 | 0.4101 | 0.4166 | 0.9181 |
No log | 6.0 | 102 | 0.2886 | 0.5030 | 0.3952 | 0.4427 | 0.9209 |
No log | 7.0 | 119 | 0.2806 | 0.4884 | 0.4354 | 0.4604 | 0.9227 |
No log | 8.0 | 136 | 0.2629 | 0.4994 | 0.4804 | 0.4898 | 0.9250 |
No log | 9.0 | 153 | 0.2686 | 0.5052 | 0.4852 | 0.4950 | 0.9265 |
No log | 10.0 | 170 | 0.2656 | 0.5278 | 0.4868 | 0.5065 | 0.9276 |
No log | 11.0 | 187 | 0.2539 | 0.4924 | 0.5328 | 0.5118 | 0.9275 |
No log | 12.0 | 204 | 0.2792 | 0.6093 | 0.4868 | 0.5412 | 0.9338 |
No log | 13.0 | 221 | 0.2518 | 0.5263 | 0.5450 | 0.5355 | 0.9314 |
No log | 14.0 | 238 | 0.2677 | 0.5171 | 0.5360 | 0.5264 | 0.9312 |
No log | 15.0 | 255 | 0.2957 | 0.4611 | 0.5365 | 0.4960 | 0.9244 |
No log | 16.0 | 272 | 0.2635 | 0.5638 | 0.5492 | 0.5564 | 0.9344 |
No log | 17.0 | 289 | 0.2545 | 0.5052 | 0.5915 | 0.5450 | 0.9312 |
No log | 18.0 | 306 | 0.2600 | 0.5660 | 0.5556 | 0.5607 | 0.9343 |
No log | 19.0 | 323 | 0.2767 | 0.5880 | 0.5339 | 0.5596 | 0.9364 |
No log | 20.0 | 340 | 0.2832 | 0.5782 | 0.5534 | 0.5656 | 0.9359 |
No log | 21.0 | 357 | 0.2660 | 0.5621 | 0.5841 | 0.5729 | 0.9367 |
No log | 22.0 | 374 | 0.2855 | 0.4915 | 0.6085 | 0.5437 | 0.9255 |
No log | 23.0 | 391 | 0.2623 | 0.6019 | 0.5735 | 0.5874 | 0.9384 |
No log | 24.0 | 408 | 0.2615 | 0.5711 | 0.5884 | 0.5796 | 0.9380 |
No log | 25.0 | 425 | 0.2876 | 0.5545 | 0.5603 | 0.5574 | 0.9358 |
No log | 26.0 | 442 | 0.2890 | 0.5796 | 0.5757 | 0.5776 | 0.9380 |
No log | 27.0 | 459 | 0.2660 | 0.5731 | 0.5889 | 0.5809 | 0.9389 |
No log | 28.0 | 476 | 0.2849 | 0.5818 | 0.5778 | 0.5798 | 0.9372 |
No log | 29.0 | 493 | 0.2930 | 0.5817 | 0.5878 | 0.5847 | 0.9386 |
0.1365 | 30.0 | 510 | 0.2825 | 0.5310 | 0.6169 | 0.5707 | 0.9340 |
0.1365 | 31.0 | 527 | 0.2978 | 0.6088 | 0.5566 | 0.5815 | 0.9396 |
0.1365 | 32.0 | 544 | 0.2835 | 0.5860 | 0.6005 | 0.5932 | 0.9394 |
0.1365 | 33.0 | 561 | 0.2979 | 0.6040 | 0.5640 | 0.5833 | 0.9400 |
0.1365 | 34.0 | 578 | 0.2975 | 0.5842 | 0.5926 | 0.5884 | 0.9395 |
0.1365 | 35.0 | 595 | 0.2900 | 0.5910 | 0.5926 | 0.5918 | 0.9397 |
0.1365 | 36.0 | 612 | 0.2826 | 0.5751 | 0.6180 | 0.5958 | 0.9400 |
0.1365 | 37.0 | 629 | 0.2938 | 0.6038 | 0.5847 | 0.5941 | 0.9413 |
0.1365 | 38.0 | 646 | 0.3010 | 0.5871 | 0.5868 | 0.5869 | 0.9398 |
0.1365 | 39.0 | 663 | 0.3090 | 0.5720 | 0.5741 | 0.5730 | 0.9376 |
0.1365 | 40.0 | 680 | 0.3134 | 0.5872 | 0.5788 | 0.5830 | 0.9390 |
0.1365 | 41.0 | 697 | 0.2956 | 0.5781 | 0.6127 | 0.5949 | 0.9392 |
0.1365 | 42.0 | 714 | 0.3220 | 0.5854 | 0.5619 | 0.5734 | 0.9382 |
0.1365 | 43.0 | 731 | 0.2978 | 0.5560 | 0.6090 | 0.5813 | 0.9378 |
0.1365 | 44.0 | 748 | 0.3057 | 0.5973 | 0.5815 | 0.5893 | 0.9403 |
0.1365 | 45.0 | 765 | 0.3032 | 0.6193 | 0.5878 | 0.6031 | 0.9420 |
0.1365 | 46.0 | 782 | 0.3240 | 0.6094 | 0.5746 | 0.5915 | 0.9400 |
0.1365 | 47.0 | 799 | 0.2982 | 0.5999 | 0.6148 | 0.6073 | 0.9412 |
0.1365 | 48.0 | 816 | 0.3125 | 0.6052 | 0.5979 | 0.6015 | 0.9412 |
0.1365 | 49.0 | 833 | 0.3206 | 0.5729 | 0.5984 | 0.5854 | 0.9396 |
0.1365 | 50.0 | 850 | 0.3107 | 0.5823 | 0.6138 | 0.5976 | 0.9408 |
0.1365 | 51.0 | 867 | 0.3186 | 0.6107 | 0.5942 | 0.6023 | 0.9409 |
0.1365 | 52.0 | 884 | 0.3132 | 0.5971 | 0.5889 | 0.5930 | 0.9410 |
0.1365 | 53.0 | 901 | 0.3138 | 0.5709 | 0.6138 | 0.5915 | 0.9398 |
0.1365 | 54.0 | 918 | 0.3202 | 0.5868 | 0.5905 | 0.5886 | 0.9406 |
0.1365 | 55.0 | 935 | 0.3036 | 0.5892 | 0.6201 | 0.6043 | 0.9420 |
0.1365 | 56.0 | 952 | 0.3158 | 0.5783 | 0.6016 | 0.5897 | 0.9407 |
0.1365 | 57.0 | 969 | 0.3083 | 0.6024 | 0.6053 | 0.6039 | 0.9421 |
0.1365 | 58.0 | 986 | 0.3262 | 0.5831 | 0.5905 | 0.5868 | 0.9392 |
0.018 | 59.0 | 1003 | 0.3194 | 0.5783 | 0.6037 | 0.5907 | 0.9398 |
0.018 | 60.0 | 1020 | 0.3348 | 0.6130 | 0.5741 | 0.5929 | 0.9413 |
0.018 | 61.0 | 1037 | 0.3273 | 0.6053 | 0.6085 | 0.6069 | 0.9421 |
0.018 | 62.0 | 1054 | 0.3162 | 0.5936 | 0.6159 | 0.6045 | 0.9412 |
0.018 | 63.0 | 1071 | 0.3269 | 0.6105 | 0.5804 | 0.5951 | 0.9417 |
0.018 | 64.0 | 1088 | 0.3253 | 0.5941 | 0.6111 | 0.6025 | 0.9420 |
0.018 | 65.0 | 1105 | 0.3299 | 0.5884 | 0.6037 | 0.5960 | 0.9414 |
0.018 | 66.0 | 1122 | 0.3361 | 0.5970 | 0.6074 | 0.6022 | 0.9408 |
0.018 | 67.0 | 1139 | 0.3286 | 0.6032 | 0.6 | 0.6016 | 0.9407 |
0.018 | 68.0 | 1156 | 0.3384 | 0.5857 | 0.5984 | 0.5920 | 0.9404 |
0.018 | 69.0 | 1173 | 0.3371 | 0.5968 | 0.5984 | 0.5976 | 0.9409 |
0.018 | 70.0 | 1190 | 0.3352 | 0.5962 | 0.6148 | 0.6054 | 0.9409 |
0.018 | 71.0 | 1207 | 0.3318 | 0.5865 | 0.6153 | 0.6006 | 0.9409 |
0.018 | 72.0 | 1224 | 0.3494 | 0.5980 | 0.5878 | 0.5928 | 0.9408 |
0.018 | 73.0 | 1241 | 0.3303 | 0.6030 | 0.6148 | 0.6089 | 0.9415 |
0.018 | 74.0 | 1258 | 0.3455 | 0.5878 | 0.5931 | 0.5905 | 0.9403 |
0.018 | 75.0 | 1275 | 0.3311 | 0.5948 | 0.6291 | 0.6115 | 0.9411 |
0.018 | 76.0 | 1292 | 0.3396 | 0.6007 | 0.5963 | 0.5985 | 0.9419 |
0.018 | 77.0 | 1309 | 0.3372 | 0.5830 | 0.6153 | 0.5987 | 0.9404 |
0.018 | 78.0 | 1326 | 0.3484 | 0.5993 | 0.5942 | 0.5967 | 0.9408 |
0.018 | 79.0 | 1343 | 0.3408 | 0.6108 | 0.6011 | 0.6059 | 0.9422 |
0.018 | 80.0 | 1360 | 0.3462 | 0.6067 | 0.5910 | 0.5988 | 0.9415 |
0.018 | 81.0 | 1377 | 0.3505 | 0.6158 | 0.5995 | 0.6075 | 0.9418 |
0.018 | 82.0 | 1394 | 0.3347 | 0.6105 | 0.6153 | 0.6129 | 0.9424 |
0.018 | 83.0 | 1411 | 0.3449 | 0.5721 | 0.6212 | 0.5956 | 0.9390 |
0.018 | 84.0 | 1428 | 0.3428 | 0.5754 | 0.6296 | 0.6013 | 0.9398 |
0.018 | 85.0 | 1445 | 0.3456 | 0.5802 | 0.6222 | 0.6005 | 0.9399 |
0.018 | 86.0 | 1462 | 0.3524 | 0.6109 | 0.5989 | 0.6049 | 0.9418 |
0.018 | 87.0 | 1479 | 0.3563 | 0.6160 | 0.5899 | 0.6027 | 0.9421 |
0.018 | 88.0 | 1496 | 0.3571 | 0.6101 | 0.5937 | 0.6018 | 0.9423 |
0.0069 | 89.0 | 1513 | 0.3489 | 0.6076 | 0.5974 | 0.6025 | 0.9424 |
0.0069 | 90.0 | 1530 | 0.3418 | 0.5983 | 0.6217 | 0.6098 | 0.9421 |
0.0069 | 91.0 | 1547 | 0.3495 | 0.5851 | 0.5984 | 0.5917 | 0.9403 |
0.0069 | 92.0 | 1564 | 0.3483 | 0.6114 | 0.6085 | 0.6099 | 0.9428 |
0.0069 | 93.0 | 1581 | 0.3508 | 0.6026 | 0.6090 | 0.6058 | 0.9413 |
0.0069 | 94.0 | 1598 | 0.3499 | 0.6117 | 0.6026 | 0.6071 | 0.9415 |
0.0069 | 95.0 | 1615 | 0.3394 | 0.5999 | 0.6164 | 0.6080 | 0.9420 |
0.0069 | 96.0 | 1632 | 0.3610 | 0.6007 | 0.5995 | 0.6001 | 0.9410 |
0.0069 | 97.0 | 1649 | 0.3471 | 0.5979 | 0.6206 | 0.6090 | 0.9416 |
0.0069 | 98.0 | 1666 | 0.3559 | 0.5902 | 0.5974 | 0.5937 | 0.9408 |
0.0069 | 99.0 | 1683 | 0.3528 | 0.6140 | 0.6101 | 0.6120 | 0.9426 |
0.0069 | 100.0 | 1700 | 0.3552 | 0.5901 | 0.6153 | 0.6024 | 0.9415 |
0.0069 | 101.0 | 1717 | 0.3684 | 0.6201 | 0.5847 | 0.6019 | 0.9420 |
0.0069 | 102.0 | 1734 | 0.3432 | 0.6075 | 0.6011 | 0.6043 | 0.9424 |
0.0069 | 103.0 | 1751 | 0.3567 | 0.6270 | 0.5905 | 0.6082 | 0.9427 |
0.0069 | 104.0 | 1768 | 0.3539 | 0.6009 | 0.5958 | 0.5983 | 0.9417 |
0.0069 | 105.0 | 1785 | 0.3456 | 0.5976 | 0.6169 | 0.6071 | 0.9424 |
0.0069 | 106.0 | 1802 | 0.3551 | 0.6211 | 0.6037 | 0.6123 | 0.9429 |
0.0069 | 107.0 | 1819 | 0.3571 | 0.6035 | 0.6063 | 0.6049 | 0.9423 |
0.0069 | 108.0 | 1836 | 0.3512 | 0.5910 | 0.6222 | 0.6062 | 0.9413 |
0.0069 | 109.0 | 1853 | 0.3527 | 0.6031 | 0.6079 | 0.6055 | 0.9420 |
0.0069 | 110.0 | 1870 | 0.3593 | 0.6213 | 0.5894 | 0.6049 | 0.9421 |
0.0069 | 111.0 | 1887 | 0.3552 | 0.6179 | 0.5905 | 0.6039 | 0.9423 |
0.0069 | 112.0 | 1904 | 0.3552 | 0.5891 | 0.6138 | 0.6012 | 0.9410 |
0.0069 | 113.0 | 1921 | 0.3649 | 0.6290 | 0.5884 | 0.6080 | 0.9414 |
0.0069 | 114.0 | 1938 | 0.3677 | 0.6052 | 0.5968 | 0.6010 | 0.9412 |
0.0069 | 115.0 | 1955 | 0.3615 | 0.6067 | 0.5884 | 0.5974 | 0.9405 |
0.0069 | 116.0 | 1972 | 0.3659 | 0.5927 | 0.5937 | 0.5932 | 0.9404 |
0.0069 | 117.0 | 1989 | 0.3652 | 0.6099 | 0.5931 | 0.6014 | 0.9410 |
0.0042 | 118.0 | 2006 | 0.3668 | 0.6080 | 0.6048 | 0.6064 | 0.9419 |
0.0042 | 119.0 | 2023 | 0.3632 | 0.6173 | 0.6026 | 0.6099 | 0.9428 |
0.0042 | 120.0 | 2040 | 0.3548 | 0.6004 | 0.6090 | 0.6047 | 0.9414 |
0.0042 | 121.0 | 2057 | 0.3617 | 0.6077 | 0.6 | 0.6038 | 0.9417 |
0.0042 | 122.0 | 2074 | 0.3676 | 0.6119 | 0.5857 | 0.5985 | 0.9414 |
0.0042 | 123.0 | 2091 | 0.3621 | 0.5965 | 0.6085 | 0.6024 | 0.9406 |
0.0042 | 124.0 | 2108 | 0.3687 | 0.6063 | 0.6111 | 0.6087 | 0.9412 |
0.0042 | 125.0 | 2125 | 0.3635 | 0.6144 | 0.6011 | 0.6076 | 0.9417 |
0.0042 | 126.0 | 2142 | 0.3709 | 0.6020 | 0.5931 | 0.5975 | 0.9406 |
0.0042 | 127.0 | 2159 | 0.3571 | 0.6023 | 0.6217 | 0.6118 | 0.9415 |
0.0042 | 128.0 | 2176 | 0.3722 | 0.6229 | 0.5926 | 0.6074 | 0.9416 |
0.0042 | 129.0 | 2193 | 0.3647 | 0.6156 | 0.6085 | 0.6120 | 0.9420 |
0.0042 | 130.0 | 2210 | 0.3595 | 0.5844 | 0.6228 | 0.6030 | 0.9404 |
0.0042 | 131.0 | 2227 | 0.3750 | 0.6243 | 0.5820 | 0.6024 | 0.9421 |
0.0042 | 132.0 | 2244 | 0.3704 | 0.5986 | 0.5862 | 0.5924 | 0.9411 |
0.0042 | 133.0 | 2261 | 0.3660 | 0.6039 | 0.5952 | 0.5995 | 0.9413 |
0.0042 | 134.0 | 2278 | 0.3762 | 0.6178 | 0.5926 | 0.6049 | 0.9415 |
0.0042 | 135.0 | 2295 | 0.3784 | 0.5993 | 0.5825 | 0.5908 | 0.9405 |
0.0042 | 136.0 | 2312 | 0.3718 | 0.5925 | 0.6101 | 0.6011 | 0.9411 |
0.0042 | 137.0 | 2329 | 0.3832 | 0.6111 | 0.5862 | 0.5984 | 0.9415 |
0.0042 | 138.0 | 2346 | 0.3765 | 0.5919 | 0.6101 | 0.6008 | 0.9412 |
0.0042 | 139.0 | 2363 | 0.3834 | 0.6042 | 0.5984 | 0.6013 | 0.9413 |
0.0042 | 140.0 | 2380 | 0.3763 | 0.6042 | 0.6026 | 0.6034 | 0.9415 |
0.0042 | 141.0 | 2397 | 0.3814 | 0.6075 | 0.5905 | 0.5989 | 0.9416 |
0.0042 | 142.0 | 2414 | 0.3781 | 0.6027 | 0.5963 | 0.5995 | 0.9412 |
0.0042 | 143.0 | 2431 | 0.3829 | 0.6085 | 0.5921 | 0.6002 | 0.9414 |
0.0042 | 144.0 | 2448 | 0.3742 | 0.5907 | 0.6032 | 0.5969 | 0.9406 |
0.0042 | 145.0 | 2465 | 0.3740 | 0.6082 | 0.6037 | 0.6059 | 0.9418 |
0.0042 | 146.0 | 2482 | 0.3703 | 0.6081 | 0.6175 | 0.6128 | 0.9425 |
0.0042 | 147.0 | 2499 | 0.3781 | 0.6189 | 0.5921 | 0.6052 | 0.9422 |
0.0032 | 148.0 | 2516 | 0.3754 | 0.5985 | 0.6042 | 0.6014 | 0.9408 |
0.0032 | 149.0 | 2533 | 0.3712 | 0.6055 | 0.5984 | 0.6019 | 0.9416 |
0.0032 | 150.0 | 2550 | 0.3688 | 0.6095 | 0.6053 | 0.6074 | 0.9423 |
0.0032 | 151.0 | 2567 | 0.3736 | 0.6036 | 0.6058 | 0.6047 | 0.9419 |
0.0032 | 152.0 | 2584 | 0.3684 | 0.6165 | 0.6048 | 0.6106 | 0.9421 |
0.0032 | 153.0 | 2601 | 0.3677 | 0.6050 | 0.6053 | 0.6051 | 0.9421 |
0.0032 | 154.0 | 2618 | 0.3732 | 0.5877 | 0.5995 | 0.5935 | 0.9404 |
0.0032 | 155.0 | 2635 | 0.3717 | 0.6156 | 0.6 | 0.6077 | 0.9424 |
0.0032 | 156.0 | 2652 | 0.3711 | 0.5961 | 0.6037 | 0.5999 | 0.9410 |
0.0032 | 157.0 | 2669 | 0.3731 | 0.6018 | 0.6037 | 0.6027 | 0.9420 |
0.0032 | 158.0 | 2686 | 0.3712 | 0.6175 | 0.6063 | 0.6119 | 0.9426 |
0.0032 | 159.0 | 2703 | 0.3744 | 0.6041 | 0.6079 | 0.6060 | 0.9418 |
0.0032 | 160.0 | 2720 | 0.3788 | 0.5946 | 0.6085 | 0.6015 | 0.9412 |
0.0032 | 161.0 | 2737 | 0.3836 | 0.6108 | 0.5878 | 0.5991 | 0.9419 |
0.0032 | 162.0 | 2754 | 0.3748 | 0.6063 | 0.6127 | 0.6095 | 0.9418 |
0.0032 | 163.0 | 2771 | 0.3763 | 0.6243 | 0.6005 | 0.6122 | 0.9426 |
0.0032 | 164.0 | 2788 | 0.3772 | 0.6025 | 0.6111 | 0.6068 | 0.9413 |
0.0032 | 165.0 | 2805 | 0.3780 | 0.6044 | 0.6063 | 0.6054 | 0.9413 |
0.0032 | 166.0 | 2822 | 0.3788 | 0.6074 | 0.6016 | 0.6045 | 0.9417 |
0.0032 | 167.0 | 2839 | 0.3720 | 0.5984 | 0.6127 | 0.6055 | 0.9419 |
0.0032 | 168.0 | 2856 | 0.3767 | 0.5960 | 0.6111 | 0.6034 | 0.9418 |
0.0032 | 169.0 | 2873 | 0.3730 | 0.5948 | 0.6106 | 0.6026 | 0.9417 |
0.0032 | 170.0 | 2890 | 0.3709 | 0.6 | 0.6079 | 0.6039 | 0.9419 |
0.0032 | 171.0 | 2907 | 0.3695 | 0.5958 | 0.6106 | 0.6031 | 0.9417 |
0.0032 | 172.0 | 2924 | 0.3752 | 0.5878 | 0.6127 | 0.6 | 0.9413 |
0.0032 | 173.0 | 2941 | 0.3748 | 0.6007 | 0.6058 | 0.6033 | 0.9419 |
0.0032 | 174.0 | 2958 | 0.3742 | 0.6054 | 0.5958 | 0.6005 | 0.9419 |
0.0032 | 175.0 | 2975 | 0.3717 | 0.5996 | 0.6037 | 0.6016 | 0.9417 |
0.0032 | 176.0 | 2992 | 0.3741 | 0.5970 | 0.6011 | 0.5990 | 0.9417 |
0.0027 | 177.0 | 3009 | 0.3741 | 0.5986 | 0.6021 | 0.6004 | 0.9418 |
0.0027 | 178.0 | 3026 | 0.3768 | 0.5959 | 0.5984 | 0.5971 | 0.9416 |
0.0027 | 179.0 | 3043 | 0.3783 | 0.5925 | 0.5963 | 0.5944 | 0.9413 |
0.0027 | 180.0 | 3060 | 0.3793 | 0.6022 | 0.5952 | 0.5987 | 0.9418 |
0.0027 | 181.0 | 3077 | 0.3827 | 0.6061 | 0.5952 | 0.6006 | 0.9417 |
0.0027 | 182.0 | 3094 | 0.3834 | 0.6090 | 0.5926 | 0.6007 | 0.9422 |
0.0027 | 183.0 | 3111 | 0.3790 | 0.6037 | 0.6005 | 0.6021 | 0.9419 |
0.0027 | 184.0 | 3128 | 0.3838 | 0.6075 | 0.5905 | 0.5989 | 0.9419 |
0.0027 | 185.0 | 3145 | 0.3780 | 0.6009 | 0.6063 | 0.6036 | 0.9418 |
0.0027 | 186.0 | 3162 | 0.3785 | 0.5998 | 0.6058 | 0.6028 | 0.9418 |
0.0027 | 187.0 | 3179 | 0.3790 | 0.6031 | 0.5989 | 0.6010 | 0.9419 |
0.0027 | 188.0 | 3196 | 0.3808 | 0.6060 | 0.5915 | 0.5987 | 0.9418 |
0.0027 | 189.0 | 3213 | 0.3831 | 0.6095 | 0.5905 | 0.5998 | 0.9419 |
0.0027 | 190.0 | 3230 | 0.3820 | 0.6068 | 0.5952 | 0.6010 | 0.9419 |
0.0027 | 191.0 | 3247 | 0.3812 | 0.6024 | 0.5989 | 0.6007 | 0.9419 |
0.0027 | 192.0 | 3264 | 0.3808 | 0.6054 | 0.6 | 0.6027 | 0.9418 |
0.0027 | 193.0 | 3281 | 0.3809 | 0.6071 | 0.6 | 0.6035 | 0.9421 |
0.0027 | 194.0 | 3298 | 0.3803 | 0.6054 | 0.6016 | 0.6035 | 0.9421 |
0.0027 | 195.0 | 3315 | 0.3799 | 0.6048 | 0.6032 | 0.6040 | 0.9421 |
0.0027 | 196.0 | 3332 | 0.3805 | 0.6056 | 0.6021 | 0.6039 | 0.9421 |
0.0027 | 197.0 | 3349 | 0.3798 | 0.6053 | 0.6037 | 0.6045 | 0.9421 |
0.0027 | 198.0 | 3366 | 0.3795 | 0.6050 | 0.6053 | 0.6051 | 0.9421 |
0.0027 | 199.0 | 3383 | 0.3798 | 0.6048 | 0.6048 | 0.6048 | 0.9421 |
0.0027 | 200.0 | 3400 | 0.3797 | 0.6051 | 0.6048 | 0.6049 | 0.9421 |
Framework versions
- Transformers 4.26.1
- Pytorch 1.13.1+cu116
- Datasets 2.10.1
- Tokenizers 0.13.2