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segformer-finetuned-sidewalk-10k-steps

Image Segmentation
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segformer-finetuned-sidewalk-10k-steps

This model is a fine-tuned version of nvidia/mit-b0 on the segments/sidewalk-semantic dataset. It achieves the following results on the evaluation set:

  • Loss: 0.6095
  • Mean Iou: 0.2881
  • Mean Accuracy: 0.3546
  • Overall Accuracy: 0.8313
  • Accuracy Unlabeled: nan
  • Accuracy Flat-road: 0.7705
  • Accuracy Flat-sidewalk: 0.9498
  • Accuracy Flat-crosswalk: 0.1340
  • Accuracy Flat-cyclinglane: 0.8681
  • Accuracy Flat-parkingdriveway: 0.2555
  • Accuracy Flat-railtrack: nan
  • Accuracy Flat-curb: 0.5391
  • Accuracy Human-person: 0.7858
  • Accuracy Human-rider: 0.0
  • Accuracy Vehicle-car: 0.9234
  • Accuracy Vehicle-truck: 0.0
  • Accuracy Vehicle-bus: 0.0
  • Accuracy Vehicle-tramtrain: 0.0
  • Accuracy Vehicle-motorcycle: 0.0
  • Accuracy Vehicle-bicycle: 0.8710
  • Accuracy Vehicle-caravan: 0.0
  • Accuracy Vehicle-cartrailer: 0.0
  • Accuracy Construction-building: 0.8511
  • Accuracy Construction-door: 0.0
  • Accuracy Construction-wall: 0.5804
  • Accuracy Construction-fenceguardrail: 0.4355
  • Accuracy Construction-bridge: 0.0
  • Accuracy Construction-tunnel: nan
  • Accuracy Construction-stairs: 0.0
  • Accuracy Object-pole: 0.3931
  • Accuracy Object-trafficsign: 0.0
  • Accuracy Object-trafficlight: 0.0
  • Accuracy Nature-vegetation: 0.9126
  • Accuracy Nature-terrain: 0.8313
  • Accuracy Sky: 0.9633
  • Accuracy Void-ground: 0.0
  • Accuracy Void-dynamic: 0.0209
  • Accuracy Void-static: 0.2608
  • Accuracy Void-unclear: 0.0
  • Iou Unlabeled: nan
  • Iou Flat-road: 0.6844
  • Iou Flat-sidewalk: 0.8516
  • Iou Flat-crosswalk: 0.0905
  • Iou Flat-cyclinglane: 0.6851
  • Iou Flat-parkingdriveway: 0.2043
  • Iou Flat-railtrack: nan
  • Iou Flat-curb: 0.3766
  • Iou Human-person: 0.5327
  • Iou Human-rider: 0.0
  • Iou Vehicle-car: 0.7630
  • Iou Vehicle-truck: 0.0
  • Iou Vehicle-bus: 0.0
  • Iou Vehicle-tramtrain: 0.0
  • Iou Vehicle-motorcycle: 0.0
  • Iou Vehicle-bicycle: 0.6814
  • Iou Vehicle-caravan: 0.0
  • Iou Vehicle-cartrailer: 0.0
  • Iou Construction-building: 0.6784
  • Iou Construction-door: 0.0
  • Iou Construction-wall: 0.3576
  • Iou Construction-fenceguardrail: 0.3553
  • Iou Construction-bridge: 0.0
  • Iou Construction-tunnel: nan
  • Iou Construction-stairs: 0.0
  • Iou Object-pole: 0.2718
  • Iou Object-trafficsign: 0.0
  • Iou Object-trafficlight: 0.0
  • Iou Nature-vegetation: 0.8160
  • Iou Nature-terrain: 0.7180
  • Iou Sky: 0.9227
  • Iou Void-ground: 0.0
  • Iou Void-dynamic: 0.0191
  • Iou Void-static: 0.2111
  • Iou Void-unclear: 0.0

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: 8
  • eval_batch_size: 8
  • seed: 1337
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: polynomial
  • training_steps: 10000

Training results

Training Loss Epoch Step Validation Loss Mean Iou Mean Accuracy Overall Accuracy Accuracy Unlabeled Accuracy Flat-road Accuracy Flat-sidewalk Accuracy Flat-crosswalk Accuracy Flat-cyclinglane Accuracy Flat-parkingdriveway Accuracy Flat-railtrack Accuracy Flat-curb Accuracy Human-person Accuracy Human-rider Accuracy Vehicle-car Accuracy Vehicle-truck Accuracy Vehicle-bus Accuracy Vehicle-tramtrain Accuracy Vehicle-motorcycle Accuracy Vehicle-bicycle Accuracy Vehicle-caravan Accuracy Vehicle-cartrailer Accuracy Construction-building Accuracy Construction-door Accuracy Construction-wall Accuracy Construction-fenceguardrail Accuracy Construction-bridge Accuracy Construction-tunnel Accuracy Construction-stairs Accuracy Object-pole Accuracy Object-trafficsign Accuracy Object-trafficlight Accuracy Nature-vegetation Accuracy Nature-terrain Accuracy Sky Accuracy Void-ground Accuracy Void-dynamic Accuracy Void-static Accuracy Void-unclear Iou Unlabeled Iou Flat-road Iou Flat-sidewalk Iou Flat-crosswalk Iou Flat-cyclinglane Iou Flat-parkingdriveway Iou Flat-railtrack Iou Flat-curb Iou Human-person Iou Human-rider Iou Vehicle-car Iou Vehicle-truck Iou Vehicle-bus Iou Vehicle-tramtrain Iou Vehicle-motorcycle Iou Vehicle-bicycle Iou Vehicle-caravan Iou Vehicle-cartrailer Iou Construction-building Iou Construction-door Iou Construction-wall Iou Construction-fenceguardrail Iou Construction-bridge Iou Construction-tunnel Iou Construction-stairs Iou Object-pole Iou Object-trafficsign Iou Object-trafficlight Iou Nature-vegetation Iou Nature-terrain Iou Sky Iou Void-ground Iou Void-dynamic Iou Void-static Iou Void-unclear
2.6286 1.0 107 1.8181 0.1171 0.1634 0.6717 nan 0.6306 0.9255 0.0 0.0094 0.0001 nan 0.0012 0.0 0.0 0.8679 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.7730 0.0 0.0057 0.0 0.0 nan 0.0 0.0 0.0 0.0 0.9381 0.3122 0.7647 0.0 0.0 0.0001 0.0 nan 0.4481 0.6987 0.0 0.0094 0.0001 nan 0.0012 0.0 0.0 0.4529 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.4526 0.0 0.0056 0.0 0.0 nan 0.0 0.0 0.0 0.0 0.6348 0.2923 0.7502 0.0 0.0 0.0001 0.0
1.8336 2.0 214 1.4625 0.1293 0.1823 0.6870 nan 0.7452 0.9141 0.0008 0.1033 0.0 nan 0.0020 0.0 0.0 0.8612 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.8218 0.0 0.0017 0.0 0.0 nan 0.0 0.0 0.0 0.0 0.7270 0.8431 0.8122 0.0 0.0 0.0 0.0 nan 0.4802 0.7308 0.0008 0.1016 0.0 nan 0.0020 0.0 0.0 0.5072 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.4932 0.0 0.0017 0.0 0.0 nan 0.0 0.0 0.0 0.0 0.6013 0.4276 0.7903 0.0 0.0 0.0 0.0
1.526 3.0 321 1.2558 0.1429 0.1939 0.7077 nan 0.6255 0.9446 0.0136 0.4912 0.0013 nan 0.0009 0.0 0.0 0.9019 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.8599 0.0 0.0000 0.0 0.0 nan 0.0 0.0 0.0 0.0 0.7262 0.7610 0.8796 0.0 0.0 0.0 0.0 nan 0.5088 0.7241 0.0136 0.4121 0.0013 nan 0.0009 0.0 0.0 0.5108 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.5052 0.0 0.0000 0.0 0.0 nan 0.0 0.0 0.0 0.0 0.6114 0.4509 0.8337 0.0 0.0 0.0 0.0
1.3177 4.0 428 1.1051 0.1528 0.1993 0.7276 nan 0.6192 0.9398 0.0 0.6093 0.0072 nan 0.0149 0.0 0.0 0.8931 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.8390 0.0 0.0001 0.0 0.0 nan 0.0 0.0 0.0 0.0 0.8639 0.6996 0.8917 0.0 0.0 0.0 0.0 nan 0.5043 0.7197 0.0 0.5088 0.0070 nan 0.0143 0.0 0.0 0.5535 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.5263 0.0 0.0001 0.0 0.0 nan 0.0 0.0 0.0 0.0 0.6828 0.5304 0.8431 0.0 0.0 0.0 0.0
1.192 5.0 535 1.0533 0.1591 0.2060 0.7356 nan 0.6333 0.9471 0.0071 0.6331 0.0518 nan 0.0512 0.0 0.0 0.8437 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.8791 0.0 0.0021 0.0 0.0 nan 0.0 0.0 0.0 0.0 0.8150 0.7926 0.9342 0.0 0.0 0.0000 0.0 nan 0.5301 0.7436 0.0070 0.5448 0.0450 nan 0.0453 0.0 0.0 0.6187 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.5282 0.0 0.0021 0.0 0.0 nan 0.0 0.0 0.0 0.0 0.6618 0.5167 0.8494 0.0 0.0 0.0000 0.0
1.1066 6.0 642 0.9737 0.1645 0.2153 0.7459 nan 0.7737 0.8898 0.0194 0.7187 0.0968 nan 0.0597 0.0 0.0 0.9025 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.8828 0.0 0.0082 0.0 0.0 nan 0.0 0.0 0.0 0.0 0.8544 0.7723 0.9125 0.0 0.0 0.0002 0.0 nan 0.5693 0.7770 0.0192 0.5704 0.0733 nan 0.0518 0.0 0.0 0.5623 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.5249 0.0 0.0082 0.0 0.0 nan 0.0 0.0 0.0 0.0 0.6853 0.5789 0.8442 0.0 0.0 0.0002 0.0
1.0345 7.0 749 0.9358 0.1641 0.2080 0.7484 nan 0.6676 0.9600 0.0015 0.5846 0.0333 nan 0.1226 0.0 0.0 0.8343 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.8947 0.0 0.0195 0.0 0.0 nan 0.0 0.0074 0.0 0.0 0.8678 0.7738 0.8896 0.0 0.0 0.0 0.0 nan 0.5882 0.7553 0.0014 0.5142 0.0322 nan 0.1033 0.0 0.0 0.6033 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.5328 0.0 0.0189 0.0 0.0 nan 0.0 0.0074 0.0 0.0 0.6840 0.5633 0.8454 0.0 0.0 0.0 0.0
0.9398 8.0 856 0.9636 0.1635 0.2096 0.7294 nan 0.5132 0.9711 0.0792 0.5573 0.0947 nan 0.1237 0.0 0.0 0.8577 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.9130 0.0 0.0729 0.0 0.0 nan 0.0 0.0297 0.0 0.0 0.7992 0.7867 0.9099 0.0 0.0 0.0000 0.0 nan 0.4766 0.7221 0.0628 0.4650 0.0834 nan 0.0990 0.0 0.0 0.6044 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.5367 0.0 0.0649 0.0 0.0 nan 0.0 0.0291 0.0 0.0 0.6904 0.5492 0.8475 0.0 0.0 0.0000 0.0
0.877 9.0 963 0.9514 0.1651 0.2131 0.7267 nan 0.4504 0.9665 0.0883 0.6428 0.0535 nan 0.1474 0.0 0.0 0.9087 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.8611 0.0 0.1287 0.0 0.0 nan 0.0 0.0728 0.0 0.0 0.8297 0.7927 0.8753 0.0 0.0 0.0025 0.0 nan 0.4186 0.7179 0.0694 0.5261 0.0506 nan 0.1086 0.0 0.0 0.5726 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.5563 0.0 0.1121 0.0 0.0 nan 0.0 0.0677 0.0 0.0 0.6842 0.5551 0.8429 0.0 0.0 0.0024 0.0
0.8582 10.0 1070 0.8750 0.1839 0.2417 0.7451 nan 0.6248 0.9409 0.2622 0.6829 0.1184 nan 0.3192 0.0660 0.0 0.9059 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.8449 0.0 0.3226 0.0 0.0 nan 0.0 0.1033 0.0 0.0 0.7591 0.8623 0.9142 0.0 0.0 0.0066 0.0 nan 0.5565 0.7807 0.1615 0.5223 0.0978 nan 0.1989 0.0649 0.0 0.6020 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.5934 0.0 0.2091 0.0 0.0 nan 0.0 0.0914 0.0 0.0 0.6305 0.5065 0.8613 0.0 0.0 0.0065 0.0
0.8174 11.0 1177 0.8511 0.1925 0.2406 0.7630 nan 0.6198 0.9537 0.1152 0.7450 0.0962 nan 0.2211 0.1179 0.0 0.8453 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.8332 0.0 0.3622 0.0 0.0 nan 0.0 0.1466 0.0 0.0 0.8842 0.8011 0.9317 0.0 0.0 0.0253 0.0 nan 0.5534 0.7652 0.0810 0.5479 0.0897 nan 0.1529 0.1052 0.0 0.6908 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.5975 0.0 0.2391 0.0 0.0 nan 0.0 0.1060 0.0 0.0 0.7168 0.6235 0.8676 0.0 0.0 0.0241 0.0
0.8053 12.0 1284 0.8258 0.1958 0.2465 0.7656 nan 0.5861 0.9566 0.1011 0.7279 0.1687 nan 0.2568 0.1789 0.0 0.8924 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.8964 0.0 0.3750 0.0001 0.0 nan 0.0 0.2163 0.0 0.0 0.8893 0.7173 0.9173 0.0 0.0 0.0083 0.0 nan 0.5385 0.7828 0.0763 0.5563 0.1347 nan 0.1770 0.1510 0.0 0.6499 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.5855 0.0 0.2200 0.0001 0.0 nan 0.0 0.1464 0.0 0.0 0.7486 0.6286 0.8615 0.0 0.0 0.0081 0.0
0.7937 13.0 1391 0.8232 0.2005 0.2562 0.7638 nan 0.5553 0.9526 0.1341 0.7287 0.1679 nan 0.3497 0.4409 0.0 0.8663 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.8407 0.0 0.2968 0.0011 0.0 nan 0.0 0.1930 0.0 0.0 0.9081 0.7888 0.9409 0.0 0.0 0.0349 0.0 nan 0.5081 0.7915 0.0925 0.5494 0.1468 nan 0.1990 0.2966 0.0 0.6470 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.5892 0.0 0.2040 0.0010 0.0 nan 0.0 0.1191 0.0 0.0 0.7203 0.6447 0.8744 0.0 0.0 0.0336 0.0
0.7716 14.0 1498 0.7484 0.2081 0.2618 0.7843 nan 0.7722 0.9215 0.1264 0.7666 0.1844 nan 0.3523 0.3594 0.0 0.9196 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.8831 0.0 0.2244 0.0188 0.0 nan 0.0 0.2140 0.0 0.0 0.9013 0.7828 0.9271 0.0 0.0 0.0247 0.0 nan 0.6323 0.8154 0.0948 0.6211 0.1478 nan 0.2139 0.2617 0.0 0.6203 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.6000 0.0 0.1854 0.0184 0.0 nan 0.0 0.1356 0.0 0.0 0.7443 0.6675 0.8759 0.0 0.0 0.0237 0.0
0.697 15.0 1605 0.7640 0.2154 0.2750 0.7820 nan 0.6800 0.9378 0.1242 0.7702 0.2647 nan 0.3212 0.5078 0.0 0.9206 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.8370 0.0 0.4683 0.0281 0.0 nan 0.0 0.2391 0.0 0.0 0.8975 0.7546 0.9374 0.0 0.0 0.1111 0.0 nan 0.5954 0.8154 0.0834 0.5941 0.1778 nan 0.2096 0.3168 0.0 0.6310 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.6256 0.0 0.2543 0.0276 0.0 nan 0.0 0.1788 0.0 0.0 0.7602 0.6507 0.8786 0.0 0.0 0.0922 0.0
0.7087 16.0 1712 0.7756 0.2143 0.2689 0.7783 nan 0.6356 0.9559 0.1393 0.7969 0.1327 nan 0.2887 0.4540 0.0 0.9110 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.8060 0.0 0.3380 0.1029 0.0 nan 0.0 0.2048 0.0 0.0 0.8951 0.7845 0.9515 0.0 0.0 0.2063 0.0 nan 0.5469 0.7997 0.0929 0.6084 0.1135 nan 0.1712 0.3306 0.0 0.6166 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.6291 0.0 0.2484 0.0982 0.0 nan 0.0 0.1616 0.0 0.0 0.7539 0.6542 0.8732 0.0 0.0 0.1599 0.0
0.7095 17.0 1819 0.7780 0.2134 0.2775 0.7724 nan 0.6105 0.9634 0.2158 0.6514 0.1226 nan 0.3240 0.6724 0.0 0.9104 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.8485 0.0 0.5700 0.0206 0.0 nan 0.0 0.2101 0.0 0.0 0.8578 0.7978 0.9248 0.0 0.0 0.1781 0.0 nan 0.5672 0.7839 0.1105 0.5158 0.1103 nan 0.2067 0.3594 0.0 0.6401 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.6241 0.0 0.2685 0.0198 0.0 nan 0.0 0.1755 0.0 0.0 0.7708 0.6613 0.8734 0.0 0.0 0.1423 0.0
0.6581 18.0 1926 0.7508 0.2171 0.2795 0.7801 nan 0.7706 0.9064 0.2124 0.6835 0.1403 nan 0.4551 0.6189 0.0 0.8718 0.0 0.0 0.0 0.0 0.0009 0.0 0.0 0.8914 0.0 0.4337 0.0635 0.0 nan 0.0 0.2098 0.0 0.0 0.8830 0.8179 0.9307 0.0 0.0 0.0544 0.0 nan 0.6302 0.8074 0.1203 0.5742 0.1166 nan 0.2470 0.3759 0.0 0.6507 0.0 0.0 0.0 0.0 0.0009 0.0 0.0 0.6008 0.0 0.2527 0.0586 0.0 nan 0.0 0.1727 0.0 0.0 0.7493 0.6594 0.8812 0.0 0.0 0.0496 0.0
0.6426 19.0 2033 0.7245 0.2188 0.2826 0.7828 nan 0.6460 0.9538 0.2403 0.7412 0.1362 nan 0.4466 0.6738 0.0 0.8529 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.8634 0.0 0.5070 0.0553 0.0 nan 0.0 0.2194 0.0 0.0 0.9065 0.7283 0.9258 0.0 0.0 0.1474 0.0 nan 0.5872 0.8063 0.1530 0.5897 0.1153 nan 0.2640 0.2673 0.0 0.7023 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.6152 0.0 0.2695 0.0521 0.0 nan 0.0 0.1736 0.0 0.0 0.7631 0.6394 0.8815 0.0 0.0 0.1230 0.0
0.6702 20.0 2140 0.7611 0.2146 0.2804 0.7730 nan 0.6534 0.9088 0.1364 0.8361 0.0680 nan 0.3070 0.6003 0.0 0.8907 0.0 0.0 0.0 0.0 0.0054 0.0 0.0 0.8747 0.0 0.4397 0.1578 0.0 nan 0.0 0.3142 0.0 0.0 0.8835 0.8413 0.9161 0.0 0.0 0.1389 0.0 nan 0.5790 0.7775 0.0943 0.5104 0.0628 nan 0.2177 0.2765 0.0 0.6749 0.0 0.0 0.0 0.0 0.0054 0.0 0.0 0.6273 0.0 0.2596 0.1387 0.0 nan 0.0 0.1920 0.0 0.0 0.7738 0.6739 0.8831 0.0 0.0 0.1208 0.0
0.6459 21.0 2247 0.6979 0.2327 0.2995 0.7935 nan 0.7089 0.9446 0.1698 0.7339 0.2010 nan 0.4253 0.7356 0.0 0.8986 0.0 0.0 0.0 0.0 0.0489 0.0 0.0 0.8166 0.0 0.5715 0.1877 0.0 nan 0.0 0.2962 0.0 0.0 0.8889 0.8529 0.9257 0.0 0.0 0.1778 0.0 nan 0.6276 0.8195 0.1146 0.6042 0.1517 nan 0.2476 0.3503 0.0 0.6861 0.0 0.0 0.0 0.0 0.0482 0.0 0.0 0.6283 0.0 0.2914 0.1585 0.0 nan 0.0 0.2180 0.0 0.0 0.7814 0.6855 0.8852 0.0 0.0 0.1496 0.0
0.6129 22.0 2354 0.6890 0.2361 0.3018 0.8011 nan 0.7559 0.9447 0.2162 0.7605 0.2859 nan 0.3558 0.7490 0.0 0.9139 0.0 0.0 0.0 0.0 0.0361 0.0 0.0 0.8660 0.0 0.4152 0.2028 0.0 nan 0.0 0.2883 0.0 0.0 0.8650 0.8445 0.9420 0.0 0.0 0.2157 0.0 nan 0.6661 0.8340 0.1244 0.6458 0.2020 nan 0.2536 0.3440 0.0 0.6636 0.0 0.0 0.0 0.0 0.0360 0.0 0.0 0.6166 0.0 0.2880 0.1800 0.0 nan 0.0 0.2161 0.0 0.0 0.7648 0.6666 0.8811 0.0 0.0 0.1736 0.0
0.587 23.0 2461 0.6791 0.2490 0.3175 0.8026 nan 0.7249 0.9426 0.1412 0.8048 0.2683 nan 0.4024 0.7341 0.0 0.8995 0.0 0.0 0.0 0.0 0.3563 0.0 0.0 0.7969 0.0 0.5959 0.2566 0.0 nan 0.0 0.3140 0.0 0.0 0.8977 0.8109 0.9393 0.0 0.0 0.2740 0.0 nan 0.6384 0.8359 0.0943 0.6255 0.1975 nan 0.2657 0.3433 0.0 0.7017 0.0 0.0 0.0 0.0 0.3341 0.0 0.0 0.6332 0.0 0.2868 0.2052 0.0 nan 0.0 0.2232 0.0 0.0 0.7927 0.6943 0.8923 0.0 0.0 0.2045 0.0
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0.3548 84.0 8988 0.6255 0.2871 0.3508 0.8293 nan 0.7457 0.9559 0.1291 0.8691 0.2532 nan 0.5187 0.7411 0.0 0.9188 0.0 0.0 0.0 0.0 0.8670 0.0 0.0 0.8565 0.0 0.5686 0.4341 0.0 nan 0.0 0.3870 0.0 0.0 0.9185 0.8038 0.9562 0.0 0.0193 0.2832 0.0 nan 0.6752 0.8472 0.0924 0.6852 0.2021 nan 0.3671 0.5311 0.0 0.7628 0.0 0.0 0.0 0.0 0.6838 0.0 0.0 0.6761 0.0 0.3590 0.3523 0.0 nan 0.0 0.2738 0.0 0.0 0.8100 0.7060 0.9238 0.0 0.0179 0.2213 0.0
0.3724 85.0 9095 0.6204 0.2872 0.3517 0.8294 nan 0.7477 0.9552 0.1310 0.8738 0.2764 nan 0.5233 0.7399 0.0 0.9121 0.0 0.0 0.0 0.0 0.8842 0.0 0.0 0.8752 0.0 0.5314 0.4354 0.0 nan 0.0 0.3917 0.0 0.0 0.9046 0.8095 0.9608 0.0 0.0245 0.2773 0.0 nan 0.6719 0.8498 0.0929 0.6746 0.2173 nan 0.3705 0.5351 0.0 0.7717 0.0 0.0 0.0 0.0 0.6752 0.0 0.0 0.6721 0.0 0.3498 0.3548 0.0 nan 0.0 0.2703 0.0 0.0 0.8144 0.7084 0.9218 0.0 0.0218 0.2181 0.0
0.3412 86.0 9202 0.6206 0.2865 0.3530 0.8286 nan 0.7376 0.9578 0.1302 0.8737 0.2390 nan 0.5286 0.7728 0.0 0.9213 0.0 0.0 0.0 0.0 0.8872 0.0 0.0 0.8562 0.0 0.5362 0.4489 0.0 nan 0.0 0.4215 0.0 0.0 0.9120 0.8058 0.9629 0.0003 0.0238 0.2789 0.0 nan 0.6623 0.8475 0.0928 0.6955 0.1920 nan 0.3685 0.5297 0.0 0.7654 0.0 0.0 0.0 0.0 0.6686 0.0 0.0 0.6750 0.0 0.3522 0.3603 0.0 nan 0.0 0.2744 0.0 0.0 0.8128 0.7070 0.9232 0.0003 0.0215 0.2182 0.0
0.3816 87.0 9309 0.6182 0.2885 0.3576 0.8305 nan 0.7658 0.9495 0.1319 0.8699 0.2584 nan 0.5379 0.7819 0.0 0.9261 0.0 0.0 0.0 0.0 0.8793 0.0 0.0 0.8375 0.0 0.5918 0.4508 0.0 nan 0.0 0.4501 0.0 0.0 0.9060 0.8429 0.9638 0.0 0.0206 0.2781 0.0 nan 0.6797 0.8510 0.0925 0.6860 0.2044 nan 0.3727 0.5308 0.0 0.7534 0.0 0.0 0.0 0.0 0.6776 0.0 0.0 0.6817 0.0 0.3627 0.3565 0.0 nan 0.0 0.2872 0.0 0.0 0.8167 0.7217 0.9234 0.0 0.0186 0.2152 0.0
0.3451 88.0 9416 0.6192 0.2869 0.3519 0.8302 nan 0.7577 0.9534 0.1308 0.8708 0.2657 nan 0.5258 0.7680 0.0 0.9224 0.0 0.0 0.0 0.0 0.8636 0.0 0.0 0.8602 0.0 0.5584 0.4366 0.0 nan 0.0 0.3964 0.0 0.0 0.9124 0.8146 0.9591 0.0 0.0151 0.2492 0.0 nan 0.6754 0.8507 0.0921 0.6914 0.2094 nan 0.3695 0.5297 0.0 0.7594 0.0 0.0 0.0 0.0 0.6818 0.0 0.0 0.6744 0.0 0.3527 0.3531 0.0 nan 0.0 0.2722 0.0 0.0 0.8145 0.7132 0.9232 0.0 0.0141 0.2027 0.0
0.3549 89.0 9523 0.6111 0.2875 0.3527 0.8318 nan 0.7690 0.9509 0.1307 0.8692 0.2542 nan 0.5263 0.7781 0.0 0.9164 0.0 0.0 0.0 0.0 0.8690 0.0 0.0 0.8728 0.0 0.5455 0.4461 0.0 nan 0.0 0.3868 0.0 0.0 0.9071 0.8496 0.9605 0.0 0.0186 0.2354 0.0 nan 0.6819 0.8525 0.0922 0.6967 0.2025 nan 0.3693 0.5314 0.0 0.7691 0.0 0.0 0.0 0.0 0.6787 0.0 0.0 0.6703 0.0 0.3520 0.3585 0.0 nan 0.0 0.2679 0.0 0.0 0.8177 0.7221 0.9224 0.0 0.0174 0.1972 0.0
0.3675 90.0 9630 0.6085 0.2871 0.3525 0.8312 nan 0.7783 0.9479 0.1331 0.8670 0.2621 nan 0.5314 0.7927 0.0 0.9177 0.0 0.0 0.0 0.0 0.8640 0.0 0.0 0.8641 0.0 0.5337 0.4436 0.0 nan 0.0 0.3959 0.0 0.0 0.9199 0.8105 0.9577 0.0 0.0193 0.2418 0.0 nan 0.6875 0.8524 0.0913 0.6871 0.2078 nan 0.3731 0.5255 0.0 0.7704 0.0 0.0 0.0 0.0 0.6773 0.0 0.0 0.6731 0.0 0.3493 0.3616 0.0 nan 0.0 0.2691 0.0 0.0 0.8117 0.7092 0.9232 0.0 0.0179 0.2013 0.0
0.3346 91.0 9737 0.6175 0.2861 0.3523 0.8294 nan 0.7571 0.9528 0.1329 0.8727 0.2238 nan 0.5224 0.7853 0.0 0.9101 0.0 0.0 0.0 0.0 0.8653 0.0 0.0 0.8636 0.0 0.5742 0.4281 0.0 nan 0.0 0.4133 0.0 0.0 0.9096 0.8216 0.9655 0.0001 0.0190 0.2571 0.0 nan 0.6775 0.8469 0.0898 0.6763 0.1828 nan 0.3720 0.5250 0.0 0.7756 0.0 0.0 0.0 0.0 0.6748 0.0 0.0 0.6781 0.0 0.3545 0.3506 0.0 nan 0.0 0.2722 0.0 0.0 0.8162 0.7140 0.9213 0.0001 0.0176 0.2114 0.0
0.3679 92.0 9844 0.6140 0.2870 0.3545 0.8308 nan 0.7757 0.9425 0.1333 0.8753 0.2634 nan 0.5339 0.7934 0.0 0.9171 0.0 0.0 0.0 0.0 0.8685 0.0 0.0 0.8648 0.0 0.5513 0.4414 0.0 nan 0.0 0.4012 0.0 0.0 0.9139 0.8384 0.9640 0.0001 0.0205 0.2449 0.0 nan 0.6849 0.8538 0.0900 0.6714 0.2093 nan 0.3755 0.5232 0.0 0.7691 0.0 0.0 0.0 0.0 0.6736 0.0 0.0 0.6739 0.0 0.3498 0.3594 0.0 nan 0.0 0.2714 0.0 0.0 0.8155 0.7201 0.9216 0.0001 0.0190 0.2031 0.0
0.3564 93.0 9951 0.6306 0.2873 0.3540 0.8295 nan 0.7487 0.9498 0.1348 0.8731 0.2800 nan 0.5271 0.7866 0.0 0.9001 0.0 0.0 0.0 0.0 0.8696 0.0 0.0 0.8795 0.0 0.5637 0.4355 0.0 nan 0.0 0.3995 0.0 0.0 0.9070 0.8256 0.9621 0.0004 0.0191 0.2643 0.0 nan 0.6768 0.8482 0.0894 0.6763 0.2202 nan 0.3755 0.5260 0.0 0.7800 0.0 0.0 0.0 0.0 0.6703 0.0 0.0 0.6708 0.0 0.3502 0.3531 0.0 nan 0.0 0.2703 0.0 0.0 0.8171 0.7166 0.9212 0.0004 0.0177 0.2146 0.0
0.3657 93.4579 10000 0.6095 0.2881 0.3546 0.8313 nan 0.7705 0.9498 0.1340 0.8681 0.2555 nan 0.5391 0.7858 0.0 0.9234 0.0 0.0 0.0 0.0 0.8710 0.0 0.0 0.8511 0.0 0.5804 0.4355 0.0 nan 0.0 0.3931 0.0 0.0 0.9126 0.8313 0.9633 0.0 0.0209 0.2608 0.0 nan 0.6844 0.8516 0.0905 0.6851 0.2043 nan 0.3766 0.5327 0.0 0.7630 0.0 0.0 0.0 0.0 0.6814 0.0 0.0 0.6784 0.0 0.3576 0.3553 0.0 nan 0.0 0.2718 0.0 0.0 0.8160 0.7180 0.9227 0.0 0.0191 0.2111 0.0

Framework versions

  • Transformers 4.42.0.dev0
  • Pytorch 2.3.1+cu121
  • Datasets 2.19.2
  • Tokenizers 0.19.1
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