segformer-b0-finetuned-pallet-detection

This model is a fine-tuned version of nvidia/mit-b0 on the None dataset. It achieves the following results on the evaluation set:

  • Loss: 0.0875
  • Mean Iou: 0.5491
  • Mean Accuracy: 0.8268
  • Overall Accuracy: 0.9234
  • Accuracy Background: nan
  • Accuracy Ground: 0.9626
  • Accuracy Pallet: 0.6910
  • Iou Background: 0.0
  • Iou Ground: 0.9623
  • Iou Pallet: 0.6850

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: 6e-05
  • train_batch_size: 2
  • eval_batch_size: 2
  • seed: 42
  • optimizer: Use 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

Training results

Training Loss Epoch Step Validation Loss Mean Iou Mean Accuracy Overall Accuracy Accuracy Background Accuracy Ground Accuracy Pallet Iou Background Iou Ground Iou Pallet
0.6288 0.1227 20 0.8578 0.2512 0.3776 0.6391 nan 0.7452 0.0099 0.0 0.7450 0.0087
0.7189 0.2454 40 0.5850 0.2915 0.4396 0.7440 nan 0.8676 0.0115 0.0 0.8631 0.0115
0.6089 0.3681 60 0.4628 0.2700 0.4061 0.6910 nan 0.8066 0.0056 0.0 0.8044 0.0056
0.3748 0.4908 80 0.4588 0.3008 0.4536 0.7592 nan 0.8832 0.0240 0.0 0.8785 0.0239
0.308 0.6135 100 0.4624 0.3028 0.4584 0.7778 nan 0.9074 0.0094 0.0 0.8991 0.0093
0.5434 0.7362 120 0.4649 0.2973 0.4498 0.7585 nan 0.8838 0.0157 0.0 0.8764 0.0157
0.3178 0.8589 140 0.5073 0.3036 0.4590 0.7704 nan 0.8968 0.0212 0.0 0.8897 0.0212
0.2856 0.9816 160 0.3759 0.3004 0.4518 0.7476 nan 0.8677 0.0358 0.0 0.8654 0.0357
0.2272 1.1043 180 0.3637 0.3340 0.5028 0.7942 nan 0.9125 0.0930 0.0 0.9092 0.0929
0.2823 1.2270 200 0.2762 0.2995 0.4498 0.7280 nan 0.8409 0.0588 0.0 0.8398 0.0586
0.2911 1.3497 220 0.4361 0.3507 0.5276 0.7997 nan 0.9101 0.1452 0.0 0.9075 0.1446
0.1527 1.4724 240 0.2464 0.3440 0.5171 0.7850 nan 0.8937 0.1405 0.0 0.8919 0.1400
0.2161 1.5951 260 0.2411 0.3386 0.5086 0.7751 nan 0.8832 0.1340 0.0 0.8824 0.1335
0.1434 1.7178 280 0.2563 0.3617 0.5436 0.8026 nan 0.9077 0.1794 0.0 0.9072 0.1780
0.3045 1.8405 300 0.3075 0.2661 0.3997 0.5917 nan 0.6696 0.1298 0.0 0.6691 0.1292
0.1123 1.9632 320 0.3347 0.3598 0.5416 0.8089 nan 0.9174 0.1658 0.0 0.9141 0.1653
0.5724 2.0859 340 0.3249 0.4045 0.6117 0.8391 nan 0.9314 0.2919 0.0 0.9239 0.2895
0.1898 2.2086 360 0.2471 0.3923 0.5927 0.8304 nan 0.9269 0.2585 0.0 0.9212 0.2558
0.1742 2.3313 380 0.2217 0.3704 0.5568 0.7857 nan 0.8786 0.2351 0.0 0.8781 0.2332
0.1968 2.4540 400 0.2207 0.3709 0.5606 0.7917 nan 0.8856 0.2355 0.0 0.8795 0.2333
0.1402 2.5767 420 0.2088 0.4216 0.6345 0.8474 nan 0.9339 0.3351 0.0 0.9325 0.3323
0.0926 2.6994 440 0.2372 0.4077 0.6139 0.8349 nan 0.9247 0.3031 0.0 0.9239 0.2993
0.1664 2.8221 460 0.2039 0.3597 0.5403 0.7742 nan 0.8692 0.2113 0.0 0.8687 0.2105
0.1059 2.9448 480 0.2024 0.3962 0.5959 0.8265 nan 0.9201 0.2716 0.0 0.9191 0.2695
0.1445 3.0675 500 0.1953 0.3809 0.5724 0.8227 nan 0.9244 0.2205 0.0 0.9236 0.2192
0.6358 3.1902 520 0.2057 0.4049 0.6088 0.8413 nan 0.9358 0.2819 0.0 0.9350 0.2796
0.0811 3.3129 540 0.1819 0.4345 0.6547 0.8526 nan 0.9330 0.3764 0.0 0.9322 0.3712
0.1276 3.4356 560 0.1660 0.4601 0.6958 0.8538 nan 0.9179 0.4737 0.0 0.9176 0.4627
0.1655 3.5583 580 0.1575 0.4330 0.6529 0.8349 nan 0.9089 0.3969 0.0 0.9086 0.3905
0.1085 3.6810 600 0.1451 0.4170 0.6265 0.8376 nan 0.9234 0.3295 0.0 0.9226 0.3283
0.0539 3.8037 620 0.1582 0.4736 0.7146 0.8778 nan 0.9441 0.4851 0.0 0.9434 0.4775
0.2292 3.9264 640 0.1490 0.4538 0.6844 0.8557 nan 0.9253 0.4435 0.0 0.9248 0.4365
0.1184 4.0491 660 0.1570 0.4417 0.6662 0.8593 nan 0.9377 0.3948 0.0 0.9337 0.3914
0.2224 4.1718 680 0.1653 0.4968 0.7524 0.8828 nan 0.9358 0.5690 0.0 0.9332 0.5572
0.17 4.2945 700 0.1645 0.3846 0.5777 0.8324 nan 0.9358 0.2196 0.0 0.9353 0.2187
0.0733 4.4172 720 0.1589 0.3817 0.5732 0.8235 nan 0.9252 0.2213 0.0 0.9247 0.2203
0.1638 4.5399 740 0.1603 0.4751 0.7191 0.8722 nan 0.9344 0.5037 0.0 0.9337 0.4917
0.16 4.6626 760 0.1490 0.3802 0.5709 0.8305 nan 0.9359 0.2060 0.0 0.9353 0.2054
0.167 4.7853 780 0.1385 0.4829 0.7305 0.8960 nan 0.9632 0.4977 0.0 0.9564 0.4924
0.0911 4.9080 800 0.1240 0.4551 0.6853 0.8657 nan 0.9390 0.4317 0.0 0.9384 0.4269
0.0534 5.0307 820 0.1394 0.4692 0.7071 0.8789 nan 0.9486 0.4656 0.0 0.9460 0.4617
0.0562 5.1534 840 0.1305 0.4792 0.7230 0.8634 nan 0.9204 0.5256 0.0 0.9202 0.5175
0.0479 5.2761 860 0.1368 0.4135 0.6212 0.8446 nan 0.9354 0.3071 0.0 0.9344 0.3061
0.1066 5.3988 880 0.1475 0.4355 0.6553 0.8526 nan 0.9327 0.3780 0.0 0.9319 0.3746
0.0827 5.5215 900 0.1358 0.4878 0.7370 0.8786 nan 0.9361 0.5378 0.0 0.9356 0.5280
0.092 5.6442 920 0.1473 0.4381 0.6589 0.8371 nan 0.9095 0.4083 0.0 0.9086 0.4058
0.0641 5.7669 940 0.1328 0.4655 0.7008 0.8539 nan 0.9161 0.4856 0.0 0.9155 0.4811
0.1034 5.8896 960 0.1293 0.4711 0.7099 0.8568 nan 0.9164 0.5034 0.0 0.9161 0.4973
0.1067 6.0123 980 0.1185 0.4734 0.7142 0.8778 nan 0.9443 0.4840 0.0 0.9431 0.4771
0.1078 6.1350 1000 0.1223 0.4644 0.6998 0.8732 nan 0.9436 0.4560 0.0 0.9428 0.4503
0.0642 6.2577 1020 0.1215 0.4332 0.6511 0.8511 nan 0.9323 0.3698 0.0 0.9316 0.3679
0.0532 6.3804 1040 0.1312 0.4428 0.6661 0.8443 nan 0.9167 0.4154 0.0 0.9164 0.4120
0.1149 6.5031 1060 0.1154 0.4648 0.6998 0.8742 nan 0.9451 0.4545 0.0 0.9443 0.4503
0.0823 6.6258 1080 0.1139 0.4611 0.6945 0.8700 nan 0.9412 0.4477 0.0 0.9404 0.4429
0.0661 6.7485 1100 0.1094 0.4529 0.6812 0.8696 nan 0.9461 0.4162 0.0 0.9457 0.4131
0.0531 6.8712 1120 0.1189 0.4635 0.6988 0.8573 nan 0.9217 0.4758 0.0 0.9215 0.4690
0.1291 6.9939 1140 0.1218 0.5099 0.7713 0.8913 nan 0.9401 0.6026 0.0 0.9394 0.5904
0.0867 7.1166 1160 0.1050 0.5039 0.7600 0.8904 nan 0.9434 0.5765 0.0 0.9425 0.5692
0.0675 7.2393 1180 0.1068 0.4700 0.7075 0.8808 nan 0.9512 0.4638 0.0 0.9506 0.4593
0.1253 7.3620 1200 0.1077 0.4490 0.6752 0.8718 nan 0.9516 0.3988 0.0 0.9500 0.3969
0.0351 7.4847 1220 0.1050 0.5161 0.7802 0.9007 nan 0.9497 0.6107 0.0 0.9489 0.5993
0.0278 7.6074 1240 0.1299 0.4516 0.6803 0.8703 nan 0.9474 0.4132 0.0 0.9471 0.4078
0.0889 7.7301 1260 0.1078 0.4807 0.7232 0.8692 nan 0.9285 0.5179 0.0 0.9280 0.5140
0.1384 7.8528 1280 0.1045 0.4801 0.7231 0.8768 nan 0.9393 0.5069 0.0 0.9388 0.5015
0.0934 7.9755 1300 0.1193 0.4587 0.6895 0.8638 nan 0.9345 0.4445 0.0 0.9339 0.4423
0.0888 8.0982 1320 0.1040 0.4815 0.7245 0.8830 nan 0.9473 0.5018 0.0 0.9467 0.4979
0.0707 8.2209 1340 0.1191 0.4506 0.6771 0.8580 nan 0.9315 0.4227 0.0 0.9312 0.4206
0.1217 8.3436 1360 0.0995 0.4944 0.7451 0.8850 nan 0.9417 0.5484 0.0 0.9412 0.5421
0.045 8.4663 1380 0.0961 0.5106 0.7701 0.8918 nan 0.9412 0.5989 0.0 0.9408 0.5910
0.0878 8.5890 1400 0.0930 0.5041 0.7592 0.8928 nan 0.9471 0.5712 0.0 0.9466 0.5656
0.0226 8.7117 1420 0.1167 0.4407 0.6620 0.8601 nan 0.9405 0.3836 0.0 0.9398 0.3823
0.0583 8.8344 1440 0.1002 0.4944 0.7446 0.8848 nan 0.9417 0.5474 0.0 0.9412 0.5420
0.0286 8.9571 1460 0.1019 0.5077 0.7657 0.8968 nan 0.9501 0.5813 0.0 0.9492 0.5739
0.0344 9.0798 1480 0.0920 0.4995 0.7524 0.8921 nan 0.9488 0.5559 0.0 0.9484 0.5502
0.0788 9.2025 1500 0.0883 0.5302 0.8005 0.9159 nan 0.9628 0.6383 0.0 0.9621 0.6284
0.0469 9.3252 1520 0.0944 0.5148 0.7759 0.9011 nan 0.9519 0.5999 0.0 0.9513 0.5932
0.0546 9.4479 1540 0.0979 0.5137 0.7739 0.9119 nan 0.9679 0.5800 0.0 0.9672 0.5740
0.0684 9.5706 1560 0.0902 0.5114 0.7705 0.9040 nan 0.9581 0.5829 0.0 0.9575 0.5766
0.0508 9.6933 1580 0.0939 0.4982 0.7503 0.8903 nan 0.9472 0.5533 0.0 0.9467 0.5479
0.0578 9.8160 1600 0.1032 0.5008 0.7543 0.8957 nan 0.9531 0.5556 0.0 0.9524 0.5500
0.0475 9.9387 1620 0.1143 0.4718 0.7092 0.8709 nan 0.9365 0.4819 0.0 0.9359 0.4794
0.0622 10.0613 1640 0.0951 0.5194 0.7828 0.9067 nan 0.9570 0.6086 0.0 0.9565 0.6016
0.0312 10.1840 1660 0.1021 0.4815 0.7243 0.8881 nan 0.9546 0.4941 0.0 0.9541 0.4903
0.0618 10.3067 1680 0.1146 0.4930 0.7432 0.8695 nan 0.9208 0.5657 0.0 0.9204 0.5586
0.0572 10.4294 1700 0.0911 0.5149 0.7759 0.9094 nan 0.9636 0.5883 0.0 0.9630 0.5818
0.0429 10.5521 1720 0.0909 0.5371 0.8113 0.9118 nan 0.9526 0.6700 0.0 0.9521 0.6594
0.0519 10.6748 1740 0.0920 0.5123 0.7729 0.9034 nan 0.9563 0.5896 0.0 0.9559 0.5810
0.0541 10.7975 1760 0.0878 0.5035 0.7581 0.8994 nan 0.9568 0.5595 0.0 0.9564 0.5541
0.0469 10.9202 1780 0.0870 0.5272 0.7966 0.9029 nan 0.9461 0.6471 0.0 0.9459 0.6357
0.0514 11.0429 1800 0.0912 0.5108 0.7710 0.8943 nan 0.9444 0.5976 0.0 0.9441 0.5884
0.0429 11.1656 1820 0.0894 0.5045 0.7595 0.8941 nan 0.9488 0.5702 0.0 0.9485 0.5651
0.0709 11.2883 1840 0.0847 0.5189 0.7822 0.9067 nan 0.9572 0.6071 0.0 0.9568 0.6000
0.0683 11.4110 1860 0.0936 0.4982 0.7496 0.8917 nan 0.9494 0.5498 0.0 0.9488 0.5458
0.0282 11.5337 1880 0.0864 0.5314 0.8017 0.9107 nan 0.9550 0.6483 0.0 0.9549 0.6392
0.0436 11.6564 1900 0.0950 0.4990 0.7512 0.8867 nan 0.9417 0.5606 0.0 0.9416 0.5553
0.0258 11.7791 1920 0.0840 0.5277 0.7955 0.9111 nan 0.9580 0.6329 0.0 0.9576 0.6254
0.0433 11.9018 1940 0.0992 0.5163 0.7782 0.9007 nan 0.9504 0.6059 0.0 0.9500 0.5990
0.0235 12.0245 1960 0.1110 0.4768 0.7167 0.8736 nan 0.9373 0.4960 0.0 0.9370 0.4934
0.0254 12.1472 1980 0.1039 0.5066 0.7641 0.8846 nan 0.9335 0.5947 0.0 0.9330 0.5868
0.0581 12.2699 2000 0.0892 0.5060 0.7611 0.8878 nan 0.9392 0.5830 0.0 0.9389 0.5791
0.0233 12.3926 2020 0.1076 0.5048 0.7594 0.8852 nan 0.9363 0.5826 0.0 0.9359 0.5787
0.0447 12.5153 2040 0.0838 0.5317 0.8011 0.9151 nan 0.9614 0.6409 0.0 0.9608 0.6341
0.0876 12.6380 2060 0.0855 0.5227 0.7870 0.9109 nan 0.9612 0.6128 0.0 0.9606 0.6073
0.044 12.7607 2080 0.0816 0.5299 0.7989 0.9131 nan 0.9595 0.6384 0.0 0.9590 0.6308
0.0427 12.8834 2100 0.0861 0.5261 0.7925 0.9080 nan 0.9548 0.6302 0.0 0.9542 0.6241
0.0458 13.0061 2120 0.1022 0.4944 0.7439 0.8971 nan 0.9594 0.5284 0.0 0.9589 0.5242
0.0633 13.1288 2140 0.0875 0.5107 0.7690 0.9021 nan 0.9561 0.5818 0.0 0.9557 0.5764
0.0543 13.2515 2160 0.0896 0.5093 0.7667 0.8949 nan 0.9470 0.5864 0.0 0.9467 0.5813
0.0183 13.3742 2180 0.0924 0.4932 0.7417 0.8965 nan 0.9594 0.5239 0.0 0.9588 0.5209
0.0432 13.4969 2200 0.0801 0.5383 0.8113 0.9137 nan 0.9552 0.6673 0.0 0.9550 0.6598
0.1578 13.6196 2220 0.0973 0.4854 0.7298 0.8898 nan 0.9547 0.5050 0.0 0.9543 0.5018
0.0318 13.7423 2240 0.0876 0.5287 0.7968 0.9041 nan 0.9476 0.6461 0.0 0.9473 0.6388
0.0203 13.8650 2260 0.0903 0.5274 0.7954 0.9135 nan 0.9614 0.6295 0.0 0.9608 0.6214
0.0264 13.9877 2280 0.0926 0.5083 0.7657 0.9006 nan 0.9553 0.5760 0.0 0.9550 0.5699
0.0187 14.1104 2300 0.0932 0.5303 0.8011 0.9011 nan 0.9417 0.6605 0.0 0.9415 0.6494
0.022 14.2331 2320 0.0968 0.4984 0.7504 0.8920 nan 0.9494 0.5514 0.0 0.9491 0.5462
0.0207 14.3558 2340 0.1010 0.4976 0.7487 0.8880 nan 0.9446 0.5528 0.0 0.9441 0.5487
0.0642 14.4785 2360 0.0978 0.5072 0.7636 0.8939 nan 0.9469 0.5803 0.0 0.9465 0.5751
0.0376 14.6012 2380 0.0939 0.5043 0.7591 0.8932 nan 0.9476 0.5706 0.0 0.9473 0.5656
0.0424 14.7239 2400 0.0781 0.5437 0.8199 0.9133 nan 0.9513 0.6885 0.0 0.9509 0.6801
0.0567 14.8466 2420 0.0820 0.5346 0.8051 0.9190 nan 0.9652 0.6450 0.0 0.9646 0.6393
0.0507 14.9693 2440 0.0900 0.5312 0.8005 0.9033 nan 0.9450 0.6560 0.0 0.9447 0.6488
0.0219 15.0920 2460 0.0912 0.5100 0.7676 0.8989 nan 0.9522 0.5829 0.0 0.9519 0.5781
0.02 15.2147 2480 0.0972 0.5057 0.7612 0.8937 nan 0.9475 0.5750 0.0 0.9472 0.5699
0.0323 15.3374 2500 0.0837 0.5403 0.8142 0.9127 nan 0.9528 0.6756 0.0 0.9524 0.6684
0.0162 15.4601 2520 0.0857 0.5291 0.7958 0.9115 nan 0.9584 0.6333 0.0 0.9577 0.6295
0.0206 15.5828 2540 0.0884 0.5360 0.8090 0.9156 nan 0.9588 0.6592 0.0 0.9585 0.6495
0.0233 15.7055 2560 0.0818 0.5391 0.8122 0.9155 nan 0.9575 0.6669 0.0 0.9570 0.6603
0.0401 15.8282 2580 0.0918 0.5312 0.7991 0.9013 nan 0.9429 0.6553 0.0 0.9425 0.6511
0.0424 15.9509 2600 0.0864 0.5297 0.7972 0.9042 nan 0.9476 0.6468 0.0 0.9473 0.6417
0.0412 16.0736 2620 0.0958 0.5134 0.7730 0.8929 nan 0.9416 0.6045 0.0 0.9412 0.5991
0.0237 16.1963 2640 0.0909 0.5212 0.7850 0.9026 nan 0.9504 0.6195 0.0 0.9500 0.6134
0.0281 16.3190 2660 0.0792 0.5404 0.8142 0.9173 nan 0.9592 0.6692 0.0 0.9586 0.6626
0.0227 16.4417 2680 0.0761 0.5399 0.8129 0.9178 nan 0.9603 0.6656 0.0 0.9597 0.6601
0.0313 16.5644 2700 0.0874 0.5135 0.7724 0.9064 nan 0.9608 0.5840 0.0 0.9603 0.5803
0.0237 16.6871 2720 0.0932 0.5084 0.7651 0.8887 nan 0.9388 0.5915 0.0 0.9385 0.5867
0.09 16.8098 2740 0.0881 0.5245 0.7905 0.9037 nan 0.9497 0.6313 0.0 0.9492 0.6244
0.0388 16.9325 2760 0.0802 0.5397 0.8131 0.9204 nan 0.9640 0.6623 0.0 0.9633 0.6557
0.0214 17.0552 2780 0.0812 0.5280 0.7952 0.9057 nan 0.9505 0.6398 0.0 0.9503 0.6337
0.0279 17.1779 2800 0.0827 0.5306 0.7990 0.9149 nan 0.9620 0.6361 0.0 0.9615 0.6302
0.0394 17.3006 2820 0.0844 0.5243 0.7895 0.9116 nan 0.9612 0.6179 0.0 0.9605 0.6124
0.0312 17.4233 2840 0.0811 0.5572 0.8419 0.9204 nan 0.9522 0.7317 0.0 0.9520 0.7196
0.0409 17.5460 2860 0.0820 0.5335 0.8033 0.9159 nan 0.9616 0.6450 0.0 0.9611 0.6393
0.0523 17.6687 2880 0.0820 0.5403 0.8148 0.9172 nan 0.9588 0.6707 0.0 0.9583 0.6627
0.0329 17.7914 2900 0.0870 0.5197 0.7828 0.9130 nan 0.9659 0.5996 0.0 0.9653 0.5939
0.0412 17.9141 2920 0.1020 0.4830 0.7260 0.8876 nan 0.9533 0.4988 0.0 0.9524 0.4967
0.0278 18.0368 2940 0.1000 0.5357 0.8075 0.9011 nan 0.9390 0.6759 0.0 0.9388 0.6684
0.0183 18.1595 2960 0.1061 0.5256 0.7919 0.8935 nan 0.9348 0.6490 0.0 0.9347 0.6421
0.0296 18.2822 2980 0.0944 0.5091 0.7658 0.9018 nan 0.9570 0.5747 0.0 0.9565 0.5709
0.0288 18.4049 3000 0.0884 0.5509 0.8313 0.9135 nan 0.9469 0.7158 0.0 0.9464 0.7065
0.0469 18.5276 3020 0.0937 0.5228 0.7870 0.8961 nan 0.9404 0.6336 0.0 0.9399 0.6286
0.0399 18.6503 3040 0.0923 0.5106 0.7679 0.8984 nan 0.9513 0.5845 0.0 0.9505 0.5811
0.0142 18.7730 3060 0.0840 0.5439 0.8205 0.9141 nan 0.9520 0.6890 0.0 0.9516 0.6801
0.0374 18.8957 3080 0.0854 0.5288 0.7963 0.9004 nan 0.9427 0.6500 0.0 0.9424 0.6439
0.024 19.0184 3100 0.0895 0.5201 0.7826 0.8963 nan 0.9425 0.6226 0.0 0.9421 0.6182
0.0653 19.1411 3120 0.0788 0.5576 0.8410 0.9207 nan 0.9530 0.7289 0.0 0.9525 0.7204
0.0241 19.2638 3140 0.0777 0.5462 0.8229 0.9205 nan 0.9602 0.6856 0.0 0.9597 0.6788
0.0278 19.3865 3160 0.1060 0.5211 0.7842 0.9001 nan 0.9472 0.6211 0.0 0.9468 0.6163
0.0521 19.5092 3180 0.0844 0.5367 0.8089 0.9147 nan 0.9577 0.6601 0.0 0.9572 0.6530
0.0207 19.6319 3200 0.1017 0.5121 0.7706 0.8902 nan 0.9387 0.6024 0.0 0.9385 0.5979
0.03 19.7546 3220 0.0796 0.5439 0.8208 0.9129 nan 0.9503 0.6914 0.0 0.9501 0.6815
0.0231 19.8773 3240 0.0848 0.5547 0.8371 0.9139 nan 0.9451 0.7292 0.0 0.9446 0.7195
0.0344 20.0 3260 0.0837 0.5391 0.8122 0.9126 nan 0.9534 0.6711 0.0 0.9529 0.6644
0.0256 20.1227 3280 0.0772 0.5567 0.8401 0.9186 nan 0.9505 0.7298 0.0 0.9502 0.7198
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0.0143 40.9816 6680 0.0826 0.5590 0.8424 0.9284 nan 0.9633 0.7215 0.0 0.9630 0.7139
0.0175 41.1043 6700 0.0857 0.5511 0.8300 0.9238 nan 0.9618 0.6981 0.0 0.9615 0.6917
0.0212 41.2270 6720 0.0871 0.5494 0.8275 0.9220 nan 0.9603 0.6946 0.0 0.9601 0.6882
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0.0297 41.4724 6760 0.0855 0.5564 0.8385 0.9221 nan 0.9560 0.7210 0.0 0.9557 0.7135
0.0148 41.5951 6780 0.0906 0.5393 0.8116 0.9160 nan 0.9583 0.6648 0.0 0.9580 0.6600
0.0202 41.7178 6800 0.0852 0.5597 0.8435 0.9253 nan 0.9585 0.7285 0.0 0.9583 0.7209
0.0197 41.8405 6820 0.0900 0.5523 0.8317 0.9198 nan 0.9555 0.7079 0.0 0.9552 0.7016
0.0128 41.9632 6840 0.0897 0.5477 0.8243 0.9199 nan 0.9587 0.6899 0.0 0.9583 0.6847
0.0089 42.0859 6860 0.0908 0.5498 0.8281 0.9194 nan 0.9564 0.6998 0.0 0.9561 0.6934
0.0163 42.2086 6880 0.0882 0.5489 0.8263 0.9198 nan 0.9577 0.6949 0.0 0.9574 0.6892
0.014 42.3313 6900 0.0869 0.5527 0.8321 0.9226 nan 0.9594 0.7048 0.0 0.9590 0.6992
0.0312 42.4540 6920 0.0856 0.5502 0.8284 0.9208 nan 0.9584 0.6984 0.0 0.9580 0.6927
0.0107 42.5767 6940 0.0851 0.5543 0.8348 0.9236 nan 0.9596 0.7100 0.0 0.9593 0.7037
0.0225 42.6994 6960 0.0866 0.5480 0.8250 0.9206 nan 0.9595 0.6905 0.0 0.9591 0.6850
0.0098 42.8221 6980 0.0838 0.5562 0.8378 0.9265 nan 0.9625 0.7130 0.0 0.9622 0.7063
0.0219 42.9448 7000 0.0843 0.5542 0.8346 0.9232 nan 0.9592 0.7101 0.0 0.9590 0.7037
0.0123 43.0675 7020 0.0876 0.5434 0.8177 0.9181 nan 0.9588 0.6767 0.0 0.9585 0.6718
0.0204 43.1902 7040 0.0891 0.5402 0.8128 0.9160 nan 0.9579 0.6677 0.0 0.9575 0.6629
0.0205 43.3129 7060 0.0872 0.5491 0.8268 0.9222 nan 0.9610 0.6927 0.0 0.9607 0.6865
0.0148 43.4356 7080 0.0861 0.5521 0.8316 0.9222 nan 0.9591 0.7041 0.0 0.9588 0.6974
0.0348 43.5583 7100 0.0842 0.5538 0.8339 0.9238 nan 0.9604 0.7074 0.0 0.9600 0.7013
0.013 43.6810 7120 0.0847 0.5543 0.8347 0.9242 nan 0.9605 0.7089 0.0 0.9602 0.7027
0.0176 43.8037 7140 0.0798 0.5641 0.8501 0.9308 nan 0.9636 0.7366 0.0 0.9633 0.7289
0.0154 43.9264 7160 0.0814 0.5538 0.8340 0.9264 nan 0.9639 0.7041 0.0 0.9635 0.6979
0.0225 44.0491 7180 0.0826 0.5574 0.8399 0.9270 nan 0.9623 0.7174 0.0 0.9620 0.7101
0.0179 44.1718 7200 0.0846 0.5521 0.8316 0.9221 nan 0.9588 0.7044 0.0 0.9586 0.6978
0.0204 44.2945 7220 0.0903 0.5446 0.8199 0.9171 nan 0.9566 0.6833 0.0 0.9563 0.6775
0.0355 44.4172 7240 0.0885 0.5517 0.8311 0.9193 nan 0.9551 0.7072 0.0 0.9548 0.7002
0.0105 44.5399 7260 0.0833 0.5569 0.8392 0.9261 nan 0.9613 0.7171 0.0 0.9610 0.7097
0.0202 44.6626 7280 0.0895 0.5486 0.8262 0.9195 nan 0.9574 0.6950 0.0 0.9571 0.6887
0.0109 44.7853 7300 0.0872 0.5487 0.8261 0.9216 nan 0.9604 0.6919 0.0 0.9600 0.6862
0.0098 44.9080 7320 0.0847 0.5530 0.8331 0.9234 nan 0.9601 0.7060 0.0 0.9598 0.6994
0.0329 45.0307 7340 0.0841 0.5521 0.8315 0.9229 nan 0.9600 0.7030 0.0 0.9597 0.6965
0.0196 45.1534 7360 0.0854 0.5479 0.8248 0.9212 nan 0.9603 0.6893 0.0 0.9600 0.6836
0.0144 45.2761 7380 0.0814 0.5523 0.8316 0.9240 nan 0.9615 0.7018 0.0 0.9612 0.6957
0.0229 45.3988 7400 0.0869 0.5516 0.8307 0.9224 nan 0.9597 0.7016 0.0 0.9594 0.6953
0.0282 45.5215 7420 0.0854 0.5517 0.8307 0.9242 nan 0.9622 0.6992 0.0 0.9619 0.6931
0.0143 45.6442 7440 0.0841 0.5499 0.8281 0.9238 nan 0.9627 0.6935 0.0 0.9624 0.6874
0.0206 45.7669 7460 0.0872 0.5501 0.8284 0.9216 nan 0.9595 0.6973 0.0 0.9592 0.6909
0.0111 45.8896 7480 0.0875 0.5485 0.8258 0.9212 nan 0.9599 0.6916 0.0 0.9597 0.6858
0.013 46.0123 7500 0.0859 0.5509 0.8294 0.9237 nan 0.9620 0.6969 0.0 0.9617 0.6910
0.0224 46.1350 7520 0.0855 0.5466 0.8227 0.9228 nan 0.9634 0.6820 0.0 0.9631 0.6767
0.0173 46.2577 7540 0.0861 0.5432 0.8176 0.9216 nan 0.9638 0.6714 0.0 0.9635 0.6662
0.0121 46.3804 7560 0.0858 0.5520 0.8315 0.9246 nan 0.9625 0.7005 0.0 0.9622 0.6939
0.0253 46.5031 7580 0.0865 0.5485 0.8258 0.9228 nan 0.9621 0.6894 0.0 0.9618 0.6836
0.0153 46.6258 7600 0.0861 0.5455 0.8212 0.9207 nan 0.9612 0.6812 0.0 0.9609 0.6755
0.0133 46.7485 7620 0.0882 0.5440 0.8188 0.9211 nan 0.9626 0.6750 0.0 0.9623 0.6697
0.0238 46.8712 7640 0.0863 0.5469 0.8234 0.9220 nan 0.9621 0.6847 0.0 0.9618 0.6789
0.0212 46.9939 7660 0.0848 0.5516 0.8307 0.9237 nan 0.9615 0.6999 0.0 0.9612 0.6934
0.0095 47.1166 7680 0.0848 0.5534 0.8334 0.9257 nan 0.9632 0.7036 0.0 0.9629 0.6972
0.0201 47.2393 7700 0.0903 0.5420 0.8156 0.9195 nan 0.9617 0.6696 0.0 0.9614 0.6647
0.0805 47.3620 7720 0.0892 0.5387 0.8105 0.9177 nan 0.9612 0.6598 0.0 0.9609 0.6551
0.0129 47.4847 7740 0.0859 0.5479 0.8250 0.9218 nan 0.9612 0.6889 0.0 0.9609 0.6829
0.0244 47.6074 7760 0.0889 0.5459 0.8220 0.9196 nan 0.9592 0.6848 0.0 0.9590 0.6787
0.0253 47.7301 7780 0.0874 0.5445 0.8197 0.9203 nan 0.9611 0.6782 0.0 0.9608 0.6728
0.0204 47.8528 7800 0.0837 0.5460 0.8218 0.9233 nan 0.9645 0.6791 0.0 0.9641 0.6740
0.022 47.9755 7820 0.0841 0.5489 0.8265 0.9228 nan 0.9618 0.6911 0.0 0.9616 0.6852
0.0087 48.0982 7840 0.0885 0.5480 0.8251 0.9218 nan 0.9610 0.6891 0.0 0.9608 0.6831
0.0117 48.2209 7860 0.0846 0.5518 0.8310 0.9251 nan 0.9633 0.6987 0.0 0.9629 0.6923
0.0267 48.3436 7880 0.0878 0.5480 0.8251 0.9228 nan 0.9624 0.6878 0.0 0.9621 0.6818
0.0238 48.4663 7900 0.0862 0.5482 0.8255 0.9226 nan 0.9621 0.6889 0.0 0.9618 0.6829
0.0174 48.5890 7920 0.0895 0.5439 0.8188 0.9201 nan 0.9612 0.6763 0.0 0.9610 0.6706
0.0852 48.7117 7940 0.0903 0.5364 0.8069 0.9170 nan 0.9617 0.6522 0.0 0.9614 0.6479
0.0116 48.8344 7960 0.0862 0.5489 0.8264 0.9229 nan 0.9621 0.6908 0.0 0.9618 0.6850
0.0089 48.9571 7980 0.0842 0.5516 0.8305 0.9243 nan 0.9624 0.6986 0.0 0.9621 0.6925
0.0192 49.0798 8000 0.0838 0.5540 0.8344 0.9256 nan 0.9626 0.7062 0.0 0.9624 0.6998
0.0144 49.2025 8020 0.0866 0.5460 0.8218 0.9222 nan 0.9629 0.6807 0.0 0.9626 0.6754
0.0132 49.3252 8040 0.0879 0.5481 0.8251 0.9224 nan 0.9619 0.6883 0.0 0.9617 0.6826
0.0165 49.4479 8060 0.0854 0.5451 0.8205 0.9210 nan 0.9618 0.6791 0.0 0.9615 0.6739
0.0308 49.5706 8080 0.0845 0.5498 0.8278 0.9241 nan 0.9632 0.6924 0.0 0.9629 0.6865
0.011 49.6933 8100 0.0872 0.5461 0.8221 0.9226 nan 0.9634 0.6808 0.0 0.9631 0.6753
0.0315 49.8160 8120 0.0902 0.5455 0.8213 0.9200 nan 0.9601 0.6826 0.0 0.9598 0.6768
0.0205 49.9387 8140 0.0875 0.5491 0.8268 0.9234 nan 0.9626 0.6910 0.0 0.9623 0.6850

Framework versions

  • Transformers 4.46.3
  • Pytorch 2.5.1+cu121
  • Datasets 3.1.0
  • Tokenizers 0.20.3
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