BrainHermorrhage-vit-base

This model is a fine-tuned version of google/vit-base-patch16-224-in21k on the Ahmed-ibn-Harun/BrainHermorrhage dataset. It achieves the following results on the evaluation set:

  • Loss: 0.3755
  • Accuracy: 0.8261
  • Sensitivity: 0.7221
  • Specificity: 0.9289
  • F1 Score: 0.8050
  • Auc: 0.9162

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: 0.0003
  • train_batch_size: 16
  • eval_batch_size: 8
  • seed: 42
  • optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
  • lr_scheduler_type: linear
  • num_epochs: 50
  • mixed_precision_training: Native AMP

Training results

Training Loss Epoch Step Validation Loss Accuracy Sensitivity Specificity F1 Score Auc
0.3331 0.2188 100 0.4220 0.7891 0.6868 0.8902 0.7641 0.8947
0.4904 0.4376 200 0.4409 0.8038 0.7750 0.8324 0.7971 0.8931
0.4875 0.6565 300 0.5088 0.8162 0.9009 0.7324 0.8298 0.9057
0.4366 0.8753 400 0.3726 0.8314 0.7671 0.8951 0.8190 0.9190
0.4663 1.0941 500 0.4225 0.8157 0.8910 0.7412 0.8278 0.9201
0.2961 1.3129 600 0.3632 0.8339 0.7929 0.8745 0.8260 0.9244
0.3367 1.5317 700 0.4454 0.8117 0.8870 0.7373 0.8241 0.9083
0.4084 1.7505 800 0.5469 0.7408 0.9732 0.5108 0.7888 0.9068
0.3161 1.9694 900 0.3893 0.8329 0.8672 0.7990 0.8377 0.9282
0.4762 2.1882 1000 0.4871 0.7363 0.9633 0.5118 0.7842 0.8974
0.4006 2.4070 1100 0.4228 0.7900 0.9326 0.6490 0.8154 0.9257
0.4541 2.6258 1200 0.3389 0.8487 0.7641 0.9324 0.8340 0.9349
0.5397 2.8446 1300 0.4587 0.7565 0.9732 0.5422 0.7990 0.9244
0.2115 3.0635 1400 0.3976 0.8344 0.8196 0.8490 0.8312 0.9223
0.3588 3.2823 1500 0.3928 0.8211 0.8949 0.7480 0.8326 0.9208
0.3377 3.5011 1600 0.3943 0.8157 0.7483 0.8824 0.8015 0.9128
0.3385 3.7199 1700 0.3627 0.8428 0.8256 0.8598 0.8393 0.9247
0.3793 3.9387 1800 0.4015 0.8063 0.7592 0.8529 0.7958 0.9007
0.2774 4.1575 1900 0.4174 0.8186 0.8018 0.8353 0.8147 0.9090
0.2964 4.3764 2000 0.4120 0.8245 0.8940 0.7559 0.8352 0.9243
0.2042 4.5952 2100 0.3984 0.8383 0.8414 0.8353 0.8381 0.9214
0.2336 4.8140 2200 0.4263 0.8241 0.8722 0.7765 0.8314 0.9242
0.2292 5.0328 2300 0.4430 0.8339 0.8186 0.8490 0.8306 0.9241
0.265 5.2516 2400 0.4647 0.8314 0.7681 0.8941 0.8192 0.9204
0.2754 5.4705 2500 0.5476 0.7886 0.9128 0.6657 0.8111 0.9116
0.1859 5.6893 2600 0.4330 0.8324 0.8414 0.8235 0.8332 0.9218
0.1785 5.9081 2700 0.4180 0.8369 0.8375 0.8363 0.8362 0.9199
0.2057 6.1269 2800 0.4660 0.8319 0.8543 0.8098 0.8349 0.9158
0.289 6.3457 2900 0.4399 0.8186 0.8196 0.8176 0.8180 0.9086
0.1172 6.5646 3000 0.5597 0.8260 0.8474 0.8049 0.8289 0.9085
0.1758 6.7834 3100 0.4902 0.8201 0.8335 0.8069 0.8217 0.9078
0.2185 7.0022 3200 0.4738 0.8211 0.8295 0.8127 0.8218 0.9108
0.2255 7.2210 3300 0.5072 0.8098 0.8771 0.7431 0.8210 0.9082
0.213 7.4398 3400 0.4879 0.8379 0.7919 0.8833 0.8293 0.9126
0.1528 7.6586 3500 0.6054 0.8137 0.8276 0.8 0.8154 0.9057
0.1834 7.8775 3600 0.5653 0.8260 0.7532 0.8980 0.8115 0.9141
0.0812 8.0963 3700 0.6640 0.8176 0.7284 0.9059 0.7989 0.9068
0.1422 8.3151 3800 0.5916 0.8255 0.7721 0.8784 0.8149 0.9075
0.1116 8.5339 3900 0.5746 0.8226 0.8583 0.7873 0.8279 0.9057
0.1811 8.7527 4000 0.4679 0.8359 0.7869 0.8843 0.8267 0.9245
0.1949 8.9716 4100 0.4645 0.8201 0.7641 0.8755 0.8086 0.9048
0.036 9.1904 4200 0.6486 0.8349 0.7889 0.8804 0.8262 0.9116
0.1117 9.4092 4300 0.5656 0.8236 0.7433 0.9029 0.8073 0.9125
0.1101 9.6280 4400 0.5197 0.8285 0.8731 0.7843 0.8351 0.9226
0.2064 9.8468 4500 0.6169 0.8270 0.7641 0.8892 0.8146 0.9132
0.0647 10.0656 4600 0.5593 0.8255 0.7542 0.8961 0.8113 0.9122
0.0566 10.2845 4700 0.5822 0.8245 0.7384 0.9098 0.8072 0.9182
0.1324 10.5033 4800 0.5593 0.8319 0.7948 0.8686 0.8247 0.9146
0.0824 10.7221 4900 0.6553 0.8117 0.7037 0.9186 0.7880 0.9130
0.2134 10.9409 5000 0.5847 0.8334 0.8880 0.7794 0.8413 0.9271
0.0835 11.1597 5100 0.6585 0.8314 0.8008 0.8618 0.8253 0.9130
0.0936 11.3786 5200 0.8768 0.8191 0.7939 0.8441 0.8136 0.9062
0.0325 11.5974 5300 0.6502 0.8423 0.8315 0.8529 0.8398 0.9209
0.1054 11.8162 5400 0.5742 0.8354 0.8256 0.8451 0.833 0.9186
0.0157 12.0350 5500 0.7790 0.8324 0.8256 0.8392 0.8305 0.9150
0.0929 12.2538 5600 0.5779 0.8433 0.7978 0.8882 0.8351 0.9183
0.0553 12.4726 5700 0.6642 0.8369 0.8157 0.8578 0.8326 0.9154
0.1012 12.6915 5800 0.6882 0.8344 0.8494 0.8196 0.8361 0.9218
0.1292 12.9103 5900 0.6949 0.8310 0.7800 0.8814 0.8211 0.9114
0.103 13.1291 6000 0.7031 0.8398 0.8216 0.8578 0.8361 0.9162
0.0652 13.3479 6100 0.7927 0.8379 0.8176 0.8578 0.8338 0.9178
0.1194 13.5667 6200 0.7817 0.8211 0.7602 0.8814 0.8086 0.9125
0.2684 13.7856 6300 0.7446 0.8221 0.7017 0.9412 0.7968 0.9164
0.1194 14.0044 6400 0.7420 0.8334 0.8305 0.8363 0.8322 0.9152
0.0548 14.2232 6500 0.8545 0.8295 0.8543 0.8049 0.8329 0.8918
0.0681 14.4420 6600 0.8680 0.7915 0.6373 0.9441 0.7525 0.9094
0.0627 14.6608 6700 0.6181 0.8487 0.8028 0.8941 0.8407 0.9206
0.0565 14.8796 6800 0.7248 0.8241 0.8117 0.8363 0.8211 0.9108
0.0879 15.0985 6900 0.6817 0.8295 0.8484 0.8108 0.8319 0.9208
0.1235 15.3173 7000 0.7360 0.8344 0.8434 0.8255 0.8351 0.9143
0.1256 15.5361 7100 0.6166 0.8300 0.7839 0.8755 0.8210 0.9114
0.0353 15.7549 7200 0.7718 0.8339 0.8771 0.7912 0.8401 0.9231
0.0838 15.9737 7300 0.7930 0.8305 0.7919 0.8686 0.8229 0.8963
0.0345 16.1926 7400 0.9201 0.8231 0.7304 0.9147 0.8041 0.8816
0.0263 16.4114 7500 0.8642 0.8310 0.7433 0.9176 0.8139 0.9021
0.0471 16.6302 7600 0.8542 0.8324 0.7631 0.9010 0.8191 0.9031
0.0894 16.8490 7700 0.7756 0.8034 0.7116 0.8941 0.7826 0.8999
0.0649 17.0678 7800 0.7112 0.8344 0.8484 0.8206 0.8359 0.9077
0.0567 17.2867 7900 0.7433 0.8452 0.8394 0.8510 0.8436 0.9106
0.0229 17.5055 8000 0.8775 0.8255 0.7542 0.8961 0.8113 0.9017
0.009 17.7243 8100 0.8561 0.8349 0.7958 0.8735 0.8274 0.9062
0.0838 17.9431 8200 0.9441 0.8255 0.8771 0.7745 0.8333 0.9211
0.0958 18.1619 8300 0.9286 0.8255 0.7374 0.9127 0.8078 0.8961
0.0422 18.3807 8400 0.8053 0.8369 0.8186 0.8549 0.8331 0.9114
0.053 18.5996 8500 0.8440 0.8388 0.8067 0.8706 0.8327 0.8972
0.0462 18.8184 8600 0.7419 0.8221 0.8137 0.8304 0.8198 0.9108
0.0474 19.0372 8700 0.8702 0.8231 0.7849 0.8608 0.8152 0.8997
0.0257 19.2560 8800 0.8966 0.8157 0.7473 0.8833 0.8013 0.9049
0.0214 19.4748 8900 0.9787 0.8275 0.7839 0.8706 0.8188 0.8877
0.1409 19.6937 9000 0.8695 0.8379 0.7899 0.8853 0.8289 0.9084
0.0715 19.9125 9100 0.9500 0.8245 0.8028 0.8461 0.8198 0.8975
0.0331 20.1313 9200 0.9371 0.8334 0.8375 0.8294 0.8333 0.9042
0.0259 20.3501 9300 0.8587 0.8374 0.8127 0.8618 0.8325 0.9124
0.0093 20.5689 9400 0.7861 0.8393 0.8196 0.8588 0.8354 0.9182
0.0103 20.7877 9500 0.7921 0.8359 0.7800 0.8912 0.8254 0.9119
0.1187 21.0066 9600 0.7618 0.8260 0.7512 0.9 0.8111 0.9166
0.0024 21.2254 9700 0.9334 0.8319 0.8632 0.8010 0.8363 0.9123
0.0993 21.4442 9800 0.8067 0.8310 0.8682 0.7941 0.8363 0.9177
0.145 21.6630 9900 0.7816 0.8324 0.7770 0.8873 0.8218 0.9108
0.054 21.8818 10000 0.8371 0.8413 0.8523 0.8304 0.8423 0.9190
0.0446 22.1007 10100 0.8001 0.8354 0.7899 0.8804 0.8268 0.9084
0.1218 22.3195 10200 0.8164 0.8364 0.7701 0.9020 0.8240 0.9078
0.032 22.5383 10300 0.8353 0.8359 0.8256 0.8461 0.8334 0.9157
0.0804 22.7571 10400 0.8301 0.8314 0.7859 0.8765 0.8226 0.9149
0.0982 22.9759 10500 0.8366 0.8339 0.8305 0.8373 0.8326 0.9160
0.0153 23.1947 10600 0.8395 0.8295 0.7948 0.8637 0.8226 0.9150
0.0647 23.4136 10700 0.8342 0.8364 0.8662 0.8069 0.8404 0.9230
0.0906 23.6324 10800 0.8414 0.8078 0.8900 0.7265 0.8216 0.9166
0.0071 23.8512 10900 0.8552 0.8354 0.7889 0.8814 0.8266 0.9053
0.0254 24.0700 11000 0.8612 0.8428 0.7830 0.9020 0.8320 0.9009
0.0265 24.2888 11100 1.0379 0.8245 0.7195 0.9284 0.8031 0.8937
0.048 24.5077 11200 1.0143 0.8285 0.7611 0.8951 0.8153 0.8942
0.0005 24.7265 11300 0.9883 0.8310 0.8077 0.8539 0.8262 0.9024
0.1702 24.9453 11400 1.0282 0.8339 0.7512 0.9157 0.8181 0.9078
0.0006 25.1641 11500 0.9612 0.8448 0.8712 0.8186 0.8480 0.9151
0.0425 25.3829 11600 1.0040 0.8438 0.8612 0.8265 0.8457 0.9143
0.0006 25.6018 11700 0.9840 0.8305 0.7790 0.8814 0.8205 0.9117
0.0029 25.8206 11800 1.0850 0.8295 0.7294 0.9284 0.8097 0.9039
0.0776 26.0394 11900 0.9524 0.8334 0.8335 0.8333 0.8327 0.9119
0.0543 26.2582 12000 0.9541 0.8329 0.7572 0.9078 0.8184 0.9097
0.0018 26.4770 12100 0.8137 0.8393 0.8712 0.8078 0.8436 0.9225
0.0512 26.6958 12200 1.0741 0.8176 0.8712 0.7647 0.8261 0.8886
0.0008 26.9147 12300 1.0294 0.8393 0.8484 0.8304 0.8400 0.8987
0.043 27.1335 12400 0.9720 0.8334 0.8682 0.7990 0.8383 0.9135
0.0013 27.3523 12500 0.9571 0.8374 0.7800 0.8941 0.8267 0.9120
0.0163 27.5711 12600 0.9475 0.8305 0.8167 0.8441 0.8273 0.9102
0.0034 27.7899 12700 0.8116 0.8403 0.8365 0.8441 0.8390 0.9183
0.0014 28.0088 12800 0.9375 0.8305 0.8285 0.8324 0.8294 0.9139
0.0008 28.2276 12900 1.0335 0.8314 0.7602 0.9020 0.8177 0.9072
0.0497 28.4464 13000 1.0562 0.8285 0.7592 0.8971 0.8149 0.9039
0.0319 28.6652 13100 0.7997 0.8364 0.8444 0.8284 0.8369 0.9167
0.0932 28.8840 13200 0.8591 0.8167 0.8474 0.7863 0.8213 0.9142
0.0007 29.1028 13300 0.8555 0.8379 0.8246 0.8510 0.8349 0.9196
0.0025 29.3217 13400 0.9062 0.8359 0.8236 0.8480 0.8331 0.9147
0.0117 29.5405 13500 0.8089 0.8339 0.8345 0.8333 0.8333 0.9181
0.0505 29.7593 13600 0.9048 0.8329 0.8404 0.8255 0.8334 0.9167
0.0484 29.9781 13700 1.0264 0.8265 0.8573 0.7961 0.8309 0.9133
0.0004 30.1969 13800 1.0712 0.8349 0.8087 0.8608 0.8297 0.9053
0.0157 30.4158 13900 1.0159 0.8236 0.8186 0.8284 0.8219 0.9062
0.0004 30.6346 14000 1.0367 0.8305 0.8196 0.8412 0.8278 0.9022
0.0003 30.8534 14100 0.9853 0.8314 0.8345 0.8284 0.8312 0.9123
0.0039 31.0722 14200 0.9839 0.8413 0.7869 0.8951 0.8314 0.9124
0.0505 31.2910 14300 1.0911 0.8339 0.8741 0.7941 0.8396 0.9033
0.0007 31.5098 14400 0.8740 0.8374 0.8246 0.85 0.8345 0.9208
0.0004 31.7287 14500 0.9801 0.8398 0.8295 0.85 0.8374 0.9208
0.0592 31.9475 14600 1.0447 0.8305 0.8404 0.8206 0.8314 0.9165
0.0003 32.1663 14700 1.1005 0.8245 0.8543 0.7951 0.8288 0.9129
0.0002 32.3851 14800 1.1025 0.8319 0.8176 0.8461 0.8287 0.9108
0.0428 32.6039 14900 1.0779 0.8310 0.8236 0.8382 0.8289 0.9096
0.049 32.8228 15000 0.9729 0.8408 0.8295 0.8520 0.8383 0.9208
0.0219 33.0416 15100 0.9851 0.8211 0.7661 0.8755 0.8098 0.9120
0.001 33.2604 15200 0.9834 0.8349 0.8256 0.8441 0.8326 0.9166
0.0009 33.4792 15300 1.0128 0.8270 0.7463 0.9069 0.8110 0.9130
0.0146 33.6980 15400 0.9835 0.8300 0.7790 0.8804 0.8200 0.9097
0.0184 33.9168 15500 0.8922 0.8290 0.8276 0.8304 0.8280 0.9183
0.0528 34.1357 15600 0.9727 0.8398 0.7899 0.8892 0.8306 0.9107
0.0018 34.3545 15700 1.0313 0.8413 0.8196 0.8627 0.8370 0.9065
0.0002 34.5733 15800 1.0882 0.8374 0.7978 0.8765 0.8299 0.9065
0.0002 34.7921 15900 1.0866 0.8379 0.8236 0.8520 0.8348 0.9045
0.0865 35.0109 16000 1.0595 0.8300 0.7602 0.8990 0.8164 0.8971
0.0004 35.2298 16100 1.0287 0.8344 0.7988 0.8696 0.8275 0.9041
0.0003 35.4486 16200 1.0652 0.8305 0.8176 0.8431 0.8275 0.8877
0.0006 35.6674 16300 1.0627 0.8270 0.7988 0.8549 0.8212 0.8848
0.0003 35.8862 16400 1.1173 0.8339 0.7780 0.8892 0.8233 0.8843
0.0002 36.1050 16500 1.1114 0.8379 0.8048 0.8706 0.8315 0.8948
0.0002 36.3239 16600 1.1165 0.8379 0.8137 0.8618 0.8331 0.8968
0.0004 36.5427 16700 1.1693 0.8369 0.8147 0.8588 0.8324 0.8918
0.0002 36.7615 16800 1.1609 0.8364 0.8325 0.8402 0.8350 0.8856
0.0007 36.9803 16900 1.1993 0.8334 0.8107 0.8559 0.8288 0.8935
0.0002 37.1991 17000 1.0206 0.8374 0.8652 0.8098 0.8410 0.9128
0.0024 37.4179 17100 0.9984 0.8359 0.7899 0.8814 0.8272 0.9094
0.0005 37.6368 17200 1.1162 0.8388 0.7671 0.9098 0.8256 0.8987
0.0008 37.8556 17300 0.9434 0.8433 0.8414 0.8451 0.8423 0.9146
0.0003 38.0744 17400 0.9508 0.8457 0.8523 0.8392 0.8460 0.9200
0.0003 38.2932 17500 1.0299 0.8379 0.8345 0.8412 0.8366 0.9183
0.0002 38.5120 17600 1.0518 0.8438 0.8325 0.8549 0.8413 0.9178
0.0015 38.7309 17700 1.0205 0.8472 0.8464 0.8480 0.8464 0.9210
0.0188 38.9497 17800 1.0644 0.8438 0.7968 0.8902 0.8353 0.9183
0.0002 39.1685 17900 1.0497 0.8443 0.8266 0.8618 0.8407 0.9220
0.0003 39.3873 18000 1.0802 0.8443 0.8236 0.8647 0.8402 0.9210
0.0002 39.6061 18100 1.1465 0.8393 0.7958 0.8824 0.8313 0.9186
0.0002 39.8249 18200 1.0551 0.8467 0.8147 0.8784 0.8409 0.9185
0.0002 40.0438 18300 1.0791 0.8467 0.8147 0.8784 0.8409 0.9171
0.0002 40.2626 18400 1.0902 0.8487 0.8176 0.8794 0.8431 0.9175
0.0002 40.4814 18500 1.1028 0.8487 0.8176 0.8794 0.8431 0.9175
0.0001 40.7002 18600 1.1156 0.8487 0.8176 0.8794 0.8431 0.9165
0.0001 40.9190 18700 1.1266 0.8487 0.8176 0.8794 0.8431 0.9168
0.0002 41.1379 18800 1.0527 0.8472 0.8246 0.8696 0.8430 0.9186
0.0002 41.3567 18900 1.0758 0.8477 0.8226 0.8725 0.8431 0.9190
0.0001 41.5755 19000 1.0940 0.8492 0.8216 0.8765 0.8442 0.9199
0.0268 41.7943 19100 0.9887 0.8374 0.8494 0.8255 0.8386 0.9196
0.002 42.0131 19200 1.0890 0.8354 0.7730 0.8971 0.8237 0.9172
0.0002 42.2319 19300 1.0668 0.8418 0.8147 0.8686 0.8366 0.9154
0.0001 42.4508 19400 1.1239 0.8383 0.7899 0.8863 0.8293 0.9150
0.0001 42.6696 19500 1.1372 0.8364 0.8285 0.8441 0.8343 0.9084
0.0001 42.8884 19600 1.1153 0.8393 0.7869 0.8912 0.8297 0.9200
0.0001 43.1072 19700 1.1482 0.8413 0.7790 0.9029 0.8300 0.9184
0.0001 43.3260 19800 1.1535 0.8388 0.7859 0.8912 0.8291 0.9180
0.0001 43.5449 19900 1.1138 0.8393 0.8236 0.8549 0.8360 0.9188
0.0001 43.7637 20000 1.1321 0.8393 0.8186 0.8598 0.8352 0.9176
0.0001 43.9825 20100 1.1473 0.8403 0.8147 0.8657 0.8354 0.9163
0.0001 44.2013 20200 1.1550 0.8413 0.8137 0.8686 0.8360 0.9154
0.0001 44.4201 20300 1.1630 0.8428 0.8127 0.8725 0.8372 0.9143
0.0001 44.6389 20400 1.1718 0.8428 0.8117 0.8735 0.8370 0.9133
0.0001 44.8578 20500 1.1793 0.8428 0.8117 0.8735 0.8370 0.9129
0.0001 45.0766 20600 1.1869 0.8418 0.8097 0.8735 0.8358 0.9121
0.0001 45.2954 20700 1.1931 0.8413 0.8087 0.8735 0.8352 0.9115
0.0001 45.5142 20800 1.1990 0.8418 0.8097 0.8735 0.8358 0.9103
0.0001 45.7330 20900 1.2056 0.8418 0.8087 0.8745 0.8356 0.9097
0.0001 45.9519 21000 1.2116 0.8423 0.8087 0.8755 0.8361 0.9092
0.0001 46.1707 21100 1.2176 0.8428 0.8087 0.8765 0.8365 0.9090
0.0001 46.3895 21200 1.2233 0.8433 0.8087 0.8775 0.8369 0.9082
0.0001 46.6083 21300 1.2281 0.8433 0.8087 0.8775 0.8369 0.9079
0.0001 46.8271 21400 1.2322 0.8433 0.8087 0.8775 0.8369 0.9075
0.0001 47.0460 21500 1.2365 0.8433 0.8087 0.8775 0.8369 0.9075
0.0001 47.2648 21600 1.2402 0.8433 0.8087 0.8775 0.8369 0.9074
0.0001 47.4836 21700 1.2447 0.8433 0.8087 0.8775 0.8369 0.9060
0.0001 47.7024 21800 1.2484 0.8433 0.8087 0.8775 0.8369 0.9068
0.0001 47.9212 21900 1.2516 0.8433 0.8087 0.8775 0.8369 0.9064
0.0 48.1400 22000 1.2546 0.8433 0.8087 0.8775 0.8369 0.9068
0.0 48.3589 22100 1.2572 0.8433 0.8087 0.8775 0.8369 0.9062
0.0 48.5777 22200 1.2603 0.8433 0.8087 0.8775 0.8369 0.9058
0.0 48.7965 22300 1.2628 0.8438 0.8087 0.8784 0.8374 0.9057
0.0 49.0153 22400 1.2647 0.8438 0.8087 0.8784 0.8374 0.9053
0.0 49.2341 22500 1.2663 0.8438 0.8087 0.8784 0.8374 0.9055
0.0 49.4530 22600 1.2679 0.8438 0.8087 0.8784 0.8374 0.9058
0.0 49.6718 22700 1.2687 0.8438 0.8087 0.8784 0.8374 0.9057
0.0 49.8906 22800 1.2691 0.8438 0.8087 0.8784 0.8374 0.9061

Framework versions

  • Transformers 4.47.1
  • Pytorch 2.5.1+cu121
  • Datasets 2.20.0
  • Tokenizers 0.21.0
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