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segformer-b0-finetuned-segments-sidewalk-2

This model is a fine-tuned version of nvidia/mit-b2 on the segments/sidewalk-semantic dataset. It achieves the following results on the evaluation set:

  • Loss: 0.7413
  • Mean Iou: 0.4159
  • Mean Accuracy: 0.4945
  • Overall Accuracy: 0.8774
  • Accuracy Unlabeled: nan
  • Accuracy Flat-road: 0.8388
  • Accuracy Flat-sidewalk: 0.9573
  • Accuracy Flat-crosswalk: 0.8007
  • Accuracy Flat-cyclinglane: 0.8552
  • Accuracy Flat-parkingdriveway: 0.5279
  • Accuracy Flat-railtrack: nan
  • Accuracy Flat-curb: 0.7175
  • Accuracy Human-person: 0.8243
  • Accuracy Human-rider: 0.0845
  • Accuracy Vehicle-car: 0.9557
  • Accuracy Vehicle-truck: 0.1300
  • Accuracy Vehicle-bus: 0.0
  • Accuracy Vehicle-tramtrain: 0.6660
  • Accuracy Vehicle-motorcycle: 0.0883
  • Accuracy Vehicle-bicycle: 0.7186
  • Accuracy Vehicle-caravan: 0.0
  • Accuracy Vehicle-cartrailer: 0.0195
  • Accuracy Construction-building: 0.9361
  • Accuracy Construction-door: 0.1788
  • Accuracy Construction-wall: 0.6178
  • Accuracy Construction-fenceguardrail: 0.3916
  • Accuracy Construction-bridge: 0.5516
  • Accuracy Construction-tunnel: nan
  • Accuracy Construction-stairs: 0.2882
  • Accuracy Object-pole: 0.6120
  • Accuracy Object-trafficsign: 0.5812
  • Accuracy Object-trafficlight: 0.0
  • Accuracy Nature-vegetation: 0.9537
  • Accuracy Nature-terrain: 0.8377
  • Accuracy Sky: 0.9844
  • Accuracy Void-ground: 0.0132
  • Accuracy Void-dynamic: 0.2116
  • Accuracy Void-static: 0.4815
  • Accuracy Void-unclear: 0.0
  • Iou Unlabeled: nan
  • Iou Flat-road: 0.7575
  • Iou Flat-sidewalk: 0.8765
  • Iou Flat-crosswalk: 0.6860
  • Iou Flat-cyclinglane: 0.7491
  • Iou Flat-parkingdriveway: 0.4030
  • Iou Flat-railtrack: nan
  • Iou Flat-curb: 0.5916
  • Iou Human-person: 0.6521
  • Iou Human-rider: 0.0488
  • Iou Vehicle-car: 0.8662
  • Iou Vehicle-truck: 0.1122
  • Iou Vehicle-bus: 0.0
  • Iou Vehicle-tramtrain: 0.4442
  • Iou Vehicle-motorcycle: 0.0883
  • Iou Vehicle-bicycle: 0.5874
  • Iou Vehicle-caravan: 0.0
  • Iou Vehicle-cartrailer: 0.0193
  • Iou Construction-building: 0.7672
  • Iou Construction-door: 0.1600
  • Iou Construction-wall: 0.5304
  • Iou Construction-fenceguardrail: 0.3282
  • Iou Construction-bridge: 0.3920
  • Iou Construction-tunnel: nan
  • Iou Construction-stairs: 0.2410
  • Iou Object-pole: 0.5084
  • Iou Object-trafficsign: 0.3941
  • Iou Object-trafficlight: 0.0
  • Iou Nature-vegetation: 0.8872
  • Iou Nature-terrain: 0.7611
  • Iou Sky: 0.9529
  • Iou Void-ground: 0.0098
  • Iou Void-dynamic: 0.1155
  • Iou Void-static: 0.3780
  • 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: 4
  • eval_batch_size: 4
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 50

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
1.6058 0.1 20 2.0687 0.0800 0.1356 0.6081 nan 0.4527 0.9100 0.0 0.0 0.0027 nan 0.0016 0.0075 0.0 0.8602 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.9256 0.0 0.0197 0.0 0.0 nan 0.0 0.0 0.0 0.0 0.8878 0.0039 0.2678 0.0 0.0 0.0009 0.0 0.0 0.3225 0.6221 0.0 0.0 0.0027 0.0 0.0015 0.0075 0.0 0.4904 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.4424 0.0 0.0196 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.6175 0.0039 0.2675 0.0 0.0 0.0009 0.0
1.0866 0.2 40 1.2653 0.1408 0.1825 0.6924 nan 0.5482 0.9667 0.0 0.0 0.0041 nan 0.0008 0.0357 0.0 0.8373 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.9144 0.0 0.0653 0.0 0.0 nan 0.0 0.0022 0.0 0.0 0.9105 0.6945 0.8432 0.0 0.0 0.0178 0.0 nan 0.4138 0.6618 0.0 0.0 0.0041 nan 0.0008 0.0352 0.0 0.6599 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.5239 0.0 0.0645 0.0 0.0 nan 0.0 0.0022 0.0 0.0 0.7587 0.5554 0.8085 0.0 0.0 0.0172 0.0
0.8624 0.3 60 1.0931 0.1666 0.2119 0.7183 nan 0.5402 0.9777 0.0 0.2995 0.0167 nan 0.0017 0.1723 0.0 0.9303 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.8316 0.0 0.0853 0.0016 0.0 nan 0.0 0.2050 0.0 0.0 0.9005 0.8119 0.9414 0.0 0.0 0.0648 0.0 nan 0.4592 0.6670 0.0 0.2883 0.0163 nan 0.0017 0.1657 0.0 0.6319 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.5774 0.0 0.0838 0.0016 0.0 nan 0.0 0.1763 0.0 0.0 0.7505 0.5903 0.8594 0.0 0.0 0.0622 0.0
1.1933 0.4 80 0.9780 0.1780 0.2241 0.7326 nan 0.5494 0.9759 0.0 0.4403 0.0635 nan 0.0928 0.1458 0.0 0.9218 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.9418 0.0 0.1182 0.0043 0.0 nan 0.0 0.2582 0.0 0.0 0.8457 0.8430 0.9439 0.0 0.0 0.0278 0.0 nan 0.4827 0.6919 0.0 0.3890 0.0580 nan 0.0852 0.1389 0.0 0.6634 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.5628 0.0 0.1040 0.0043 0.0 nan 0.0 0.2140 0.0 0.0 0.7901 0.6139 0.8700 0.0 0.0 0.0276 0.0
0.8678 0.5 100 0.8980 0.2055 0.2559 0.7586 nan 0.7035 0.9240 0.0 0.5471 0.2248 nan 0.1919 0.4983 0.0 0.9434 0.0 0.0 0.0 0.0 0.0122 0.0 0.0 0.8942 0.0 0.1942 0.0415 0.0 nan 0.0 0.3669 0.0 0.0 0.9329 0.7145 0.9508 0.0 0.0 0.0486 0.0 nan 0.5343 0.7617 0.0 0.4561 0.1464 nan 0.1592 0.4375 0.0 0.6418 0.0 0.0 0.0 0.0 0.0122 0.0 0.0 0.5930 0.0 0.1698 0.0408 0.0 nan 0.0 0.2674 0.0 0.0 0.8039 0.6337 0.8700 0.0 0.0 0.0478 0.0
0.8691 0.6 120 0.8161 0.2164 0.2640 0.7752 nan 0.7915 0.9325 0.0 0.5391 0.2122 nan 0.1662 0.4892 0.0 0.8716 0.0 0.0 0.0 0.0 0.1287 0.0 0.0 0.9406 0.0 0.0777 0.1205 0.0 nan 0.0 0.3821 0.0 0.0 0.9227 0.8422 0.9483 0.0 0.0 0.0846 0.0 nan 0.5700 0.7869 0.0 0.4869 0.1733 nan 0.1470 0.3997 0.0 0.7279 0.0 0.0 0.0 0.0 0.1273 0.0 0.0 0.5747 0.0 0.0749 0.1087 0.0 nan 0.0 0.2806 0.0 0.0 0.8250 0.6766 0.8837 0.0 0.0 0.0806 0.0
0.5554 0.7 140 0.8194 0.2308 0.2859 0.7661 nan 0.5964 0.9383 0.0 0.5685 0.2664 nan 0.4518 0.6607 0.0 0.9273 0.0 0.0 0.0 0.0 0.1700 0.0 0.0 0.9297 0.0 0.2699 0.1437 0.0 nan 0.0 0.3847 0.0 0.0 0.9183 0.8642 0.9349 0.0 0.0 0.1238 0.0 nan 0.4999 0.7466 0.0 0.4657 0.1921 nan 0.2892 0.4987 0.0 0.7165 0.0 0.0 0.0 0.0 0.1661 0.0 0.0 0.6027 0.0 0.2471 0.1317 0.0 nan 0.0 0.2981 0.0 0.0 0.8326 0.6980 0.8876 0.0 0.0 0.1145 0.0
0.794 0.8 160 0.7478 0.2403 0.2971 0.7860 nan 0.6689 0.9516 0.0000 0.6487 0.2353 nan 0.2907 0.7860 0.0 0.9162 0.0 0.0 0.0 0.0 0.1873 0.0 0.0 0.8967 0.0 0.4288 0.1785 0.0 nan 0.0 0.3825 0.0 0.0 0.9359 0.8514 0.9644 0.0 0.0 0.1844 0.0 nan 0.5519 0.7755 0.0000 0.4870 0.1750 nan 0.2347 0.4389 0.0 0.7562 0.0 0.0 0.0 0.0 0.1836 0.0 0.0 0.6576 0.0 0.3686 0.1488 0.0 nan 0.0 0.3083 0.0 0.0 0.8332 0.7090 0.9028 0.0 0.0 0.1575 0.0
0.6339 0.9 180 0.7390 0.2411 0.2973 0.7876 nan 0.8110 0.9249 0.0209 0.5771 0.3073 nan 0.3368 0.7894 0.0 0.8493 0.0 0.0 0.0 0.0 0.5413 0.0 0.0 0.9288 0.0 0.1732 0.1312 0.0 nan 0.0 0.3136 0.0 0.0 0.9477 0.7834 0.9502 0.0 0.0 0.1273 0.0 nan 0.5789 0.8126 0.0209 0.4832 0.2278 nan 0.2592 0.3822 0.0 0.7646 0.0 0.0 0.0 0.0 0.4843 0.0 0.0 0.6012 0.0 0.1659 0.1198 0.0 nan 0.0 0.2735 0.0 0.0 0.8253 0.7060 0.8938 0.0 0.0 0.1164 0.0
0.8587 1.0 200 0.7084 0.2675 0.3230 0.8018 nan 0.7580 0.9389 0.3724 0.5680 0.3650 nan 0.3542 0.7193 0.0 0.9144 0.0 0.0 0.0 0.0 0.5573 0.0 0.0 0.9250 0.0 0.3356 0.2530 0.0 nan 0.0 0.2509 0.0 0.0 0.9308 0.8555 0.9539 0.0 0.0 0.2823 0.0 nan 0.6263 0.7931 0.3623 0.5008 0.2209 nan 0.2872 0.4916 0.0 0.7620 0.0 0.0 0.0 0.0 0.4623 0.0 0.0 0.6392 0.0 0.3075 0.1780 0.0 nan 0.0 0.2203 0.0 0.0 0.8510 0.7357 0.9055 0.0 0.0 0.2151 0.0
0.5614 1.1 220 0.7561 0.2601 0.3206 0.7938 nan 0.6713 0.9499 0.2579 0.6298 0.3682 nan 0.3742 0.7721 0.0 0.9318 0.0 0.0 0.0 0.0 0.5424 0.0 0.0 0.8845 0.0 0.4127 0.1613 0.0 nan 0.0 0.2406 0.0 0.0 0.9196 0.8874 0.9724 0.0 0.0 0.2822 0.0 nan 0.5910 0.7841 0.2544 0.4716 0.2352 nan 0.2894 0.4556 0.0 0.7663 0.0 0.0 0.0 0.0 0.4722 0.0 0.0 0.6528 0.0 0.3492 0.1422 0.0 nan 0.0 0.2133 0.0 0.0 0.8336 0.6845 0.9031 0.0 0.0 0.2248 0.0
0.6716 1.2 240 0.7154 0.2718 0.3453 0.7967 nan 0.6683 0.9515 0.6023 0.6991 0.3307 nan 0.4583 0.7933 0.0 0.9318 0.0 0.0 0.0 0.0 0.5865 0.0 0.0 0.8739 0.0 0.3943 0.2839 0.0 nan 0.0 0.4104 0.0 0.0 0.8423 0.9039 0.9740 0.0 0.0 0.3438 0.0 nan 0.6036 0.8231 0.5148 0.4430 0.2387 nan 0.3350 0.4530 0.0 0.7768 0.0 0.0 0.0 0.0 0.4575 0.0 0.0 0.6788 0.0 0.3633 0.1930 0.0 nan 0.0 0.3109 0.0 0.0 0.7773 0.5568 0.9052 0.0 0.0 0.2673 0.0
0.5977 1.3 260 0.6926 0.2792 0.3446 0.8034 nan 0.6946 0.9427 0.6251 0.5124 0.4221 nan 0.4001 0.8085 0.0 0.8952 0.0 0.0 0.0 0.0 0.5728 0.0 0.0 0.8277 0.0 0.6152 0.2122 0.0 nan 0.0 0.3902 0.0 0.0 0.9603 0.8804 0.9529 0.0 0.0 0.3160 0.0 nan 0.6006 0.7857 0.5078 0.4729 0.2514 nan 0.3110 0.4450 0.0 0.7790 0.0 0.0 0.0 0.0 0.4750 0.0 0.0 0.6803 0.0 0.4791 0.1668 0.0 nan 0.0 0.2995 0.0 0.0 0.8278 0.7035 0.9083 0.0 0.0 0.2401 0.0
0.323 1.4 280 0.6871 0.2769 0.3368 0.8095 nan 0.9001 0.8911 0.5783 0.5414 0.3860 nan 0.2742 0.7728 0.0 0.9198 0.0 0.0 0.0 0.0 0.5951 0.0 0.0 0.9161 0.0 0.3427 0.1982 0.0 nan 0.0 0.3783 0.0 0.0 0.9283 0.8808 0.9731 0.0 0.0 0.3014 0.0 nan 0.6163 0.8266 0.5474 0.4864 0.2627 nan 0.2177 0.4875 0.0 0.7824 0.0 0.0 0.0 0.0 0.4786 0.0 0.0 0.6533 0.0 0.3035 0.1736 0.0 nan 0.0 0.3035 0.0 0.0 0.8537 0.7231 0.9064 0.0 0.0 0.2376 0.0
0.4141 1.5 300 0.6476 0.2867 0.3494 0.8218 nan 0.7932 0.9491 0.6643 0.6611 0.2548 nan 0.4516 0.7783 0.0 0.9142 0.0 0.0 0.0 0.0 0.6078 0.0 0.0 0.8901 0.0 0.3304 0.2616 0.0 nan 0.0 0.4842 0.0 0.0 0.9445 0.7866 0.9691 0.0 0.0 0.4399 0.0 nan 0.6531 0.8299 0.5304 0.5258 0.2096 nan 0.3576 0.4954 0.0 0.7931 0.0 0.0 0.0 0.0 0.4708 0.0 0.0 0.6738 0.0 0.2988 0.1819 0.0 nan 0.0 0.3425 0.0 0.0 0.8504 0.7206 0.9123 0.0 0.0 0.3267 0.0
0.3646 1.6 320 0.6528 0.2763 0.3318 0.8139 nan 0.7482 0.9494 0.6282 0.6090 0.3414 nan 0.5601 0.7720 0.0 0.8964 0.0 0.0 0.0 0.0 0.5823 0.0 0.0 0.9521 0.0 0.2277 0.0532 0.0 nan 0.0 0.3867 0.0 0.0 0.9466 0.8266 0.9693 0.0 0.0 0.1695 0.0 nan 0.6420 0.8276 0.5175 0.5250 0.2451 nan 0.3864 0.5556 0.0 0.7824 0.0 0.0 0.0 0.0 0.5152 0.0 0.0 0.6083 0.0 0.2015 0.0523 0.0 nan 0.0 0.3181 0.0 0.0 0.8566 0.7311 0.9165 0.0 0.0 0.1596 0.0
0.9788 1.7 340 0.7683 0.2612 0.3304 0.7955 nan 0.5996 0.9751 0.3832 0.6502 0.2049 nan 0.4099 0.8274 0.0 0.9395 0.0 0.0 0.0 0.0 0.7249 0.0 0.0 0.9074 0.0 0.2946 0.1679 0.0 nan 0.0 0.4672 0.0 0.0 0.9432 0.8381 0.9654 0.0 0.0 0.2729 0.0 nan 0.5599 0.7533 0.3669 0.5210 0.1659 nan 0.3300 0.3950 0.0 0.7744 0.0 0.0 0.0 0.0 0.3063 0.0 0.0 0.6650 0.0 0.2691 0.1526 0.0 nan 0.0 0.3416 0.0 0.0 0.8595 0.7511 0.9171 0.0 0.0 0.2307 0.0
0.6605 1.8 360 0.6275 0.2884 0.3441 0.8263 nan 0.8420 0.9395 0.5045 0.6022 0.2955 nan 0.4330 0.7870 0.0 0.8991 0.0 0.0 0.0 0.0 0.6139 0.0 0.0 0.9320 0.0 0.5533 0.1601 0.0 nan 0.0 0.3684 0.0 0.0 0.9458 0.8448 0.9551 0.0 0.0 0.3342 0.0 nan 0.6410 0.8340 0.4894 0.5314 0.2450 nan 0.3572 0.4974 0.0 0.7906 0.0 0.0 0.0 0.0 0.4876 0.0 0.0 0.6881 0.0 0.4509 0.1472 0.0 nan 0.0 0.3078 0.0 0.0 0.8575 0.7292 0.9075 0.0 0.0 0.2676 0.0
0.7524 1.9 380 0.6273 0.2919 0.3560 0.8269 nan 0.8081 0.9440 0.6296 0.6118 0.3642 nan 0.4947 0.8006 0.0 0.9350 0.0 0.0 0.0 0.0 0.6406 0.0 0.0 0.8665 0.0 0.4322 0.1933 0.0 nan 0.0 0.3940 0.0 0.0 0.9558 0.8249 0.9678 0.0 0.0 0.5301 0.0 nan 0.6452 0.8301 0.5816 0.5276 0.2781 nan 0.3737 0.4358 0.0 0.7892 0.0 0.0 0.0 0.0 0.4562 0.0 0.0 0.6994 0.0 0.3982 0.1730 0.0 nan 0.0 0.3147 0.0 0.0 0.8553 0.7263 0.9197 0.0 0.0 0.3361 0.0
1.2079 2.0 400 0.6490 0.2897 0.3486 0.8215 nan 0.7698 0.9312 0.5400 0.7152 0.5081 nan 0.4067 0.7781 0.0 0.8939 0.0 0.0 0.0 0.0 0.6318 0.0 0.0 0.9512 0.0 0.4015 0.1934 0.0 nan 0.0 0.3986 0.0 0.0 0.9288 0.8495 0.9746 0.0 0.0 0.2818 0.0 nan 0.6377 0.8292 0.5056 0.5954 0.2895 nan 0.3449 0.5046 0.0 0.7963 0.0 0.0 0.0 0.0 0.5140 0.0 0.0 0.6506 0.0 0.3486 0.1627 0.0 nan 0.0 0.3316 0.0 0.0 0.8600 0.7487 0.9086 0.0 0.0 0.2415 0.0
0.405 2.1 420 0.6384 0.2937 0.3622 0.8234 nan 0.7031 0.9520 0.6652 0.7688 0.3272 nan 0.4249 0.7941 0.0 0.9555 0.0 0.0 0.0 0.0 0.6440 0.0 0.0 0.8782 0.0 0.5263 0.2536 0.0 nan 0.0 0.4750 0.0 0.0 0.9257 0.8877 0.9717 0.0 0.0204 0.4167 0.0 nan 0.6183 0.8256 0.5422 0.5549 0.2588 nan 0.3615 0.4897 0.0 0.7693 0.0 0.0 0.0 0.0 0.4770 0.0 0.0 0.6953 0.0 0.4538 0.1952 0.0 nan 0.0 0.3494 0.0 0.0 0.8578 0.7154 0.9221 0.0 0.0178 0.2943 0.0
0.3988 2.2 440 0.5934 0.2969 0.3613 0.8282 nan 0.8282 0.9065 0.6606 0.7416 0.4514 nan 0.3391 0.8057 0.0 0.9266 0.0 0.0 0.0 0.0 0.6561 0.0 0.0 0.9058 0.0 0.5015 0.2832 0.0 nan 0.0 0.3546 0.0 0.0 0.9493 0.8867 0.9751 0.0 0.0271 0.3634 0.0 nan 0.6390 0.8430 0.6169 0.5474 0.2994 nan 0.2954 0.4906 0.0 0.8041 0.0 0.0 0.0 0.0 0.4835 0.0 0.0 0.7002 0.0 0.4378 0.2141 0.0 nan 0.0 0.3096 0.0 0.0 0.8614 0.7253 0.9219 0.0 0.0236 0.2891 0.0
0.3143 2.3 460 0.6416 0.2938 0.3609 0.8219 nan 0.6598 0.9464 0.7305 0.7885 0.4049 nan 0.5647 0.7899 0.0 0.9416 0.0 0.0 0.0 0.0 0.6645 0.0 0.0 0.9118 0.0 0.3080 0.1446 0.0 nan 0.0 0.4547 0.0013 0.0 0.9516 0.8457 0.9714 0.0 0.0180 0.4518 0.0 nan 0.6057 0.8265 0.6098 0.5589 0.2849 nan 0.4108 0.5416 0.0 0.7952 0.0 0.0 0.0 0.0 0.4605 0.0 0.0 0.6670 0.0 0.2780 0.1332 0.0 nan 0.0 0.3446 0.0013 0.0 0.8621 0.7526 0.9232 0.0 0.0166 0.3277 0.0
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0.0618 49.0 9800 0.7324 0.4133 0.4908 0.8776 nan 0.8385 0.9577 0.8009 0.8520 0.5329 nan 0.7132 0.8277 0.0697 0.9596 0.1262 0.0 0.6673 0.0580 0.7046 0.0 0.0220 0.9325 0.1735 0.6305 0.3849 0.5274 nan 0.2633 0.6253 0.5768 0.0 0.9547 0.8406 0.9843 0.0085 0.1999 0.4747 0.0 nan 0.7577 0.8761 0.6846 0.7503 0.4020 nan 0.5919 0.6485 0.0424 0.8634 0.1100 0.0 0.4368 0.0580 0.5832 0.0 0.0219 0.7696 0.1555 0.5351 0.3255 0.3876 nan 0.2220 0.5101 0.3954 0.0 0.8875 0.7621 0.9528 0.0066 0.1131 0.3773 0.0
0.0722 49.1 9820 0.7347 0.4152 0.4928 0.8777 nan 0.8403 0.9565 0.7873 0.8557 0.5384 nan 0.7119 0.8282 0.0710 0.9564 0.1294 0.0 0.6734 0.0744 0.7173 0.0 0.0147 0.9324 0.1844 0.6363 0.3878 0.5176 nan 0.2736 0.6280 0.5896 0.0 0.9558 0.8401 0.9836 0.0111 0.2020 0.4727 0.0 nan 0.7581 0.8762 0.6974 0.7481 0.4016 nan 0.5941 0.6497 0.0431 0.8656 0.1120 0.0 0.4399 0.0744 0.5860 0.0 0.0146 0.7702 0.1637 0.5370 0.3277 0.3850 nan 0.2310 0.5107 0.3964 0.0 0.8870 0.7609 0.9530 0.0084 0.1158 0.3774 0.0
0.0848 49.2 9840 0.7302 0.4154 0.4924 0.8779 nan 0.8416 0.9570 0.7898 0.8545 0.5362 nan 0.7096 0.8272 0.0683 0.9567 0.1272 0.0 0.6605 0.0652 0.7112 0.0 0.0269 0.9322 0.1873 0.6383 0.3877 0.5232 nan 0.2786 0.6276 0.5780 0.0 0.9544 0.8408 0.9845 0.0039 0.2122 0.4777 0.0 nan 0.7582 0.8762 0.6952 0.7485 0.4011 nan 0.5941 0.6516 0.0409 0.8653 0.1102 0.0 0.4407 0.0652 0.5879 0.0 0.0267 0.7704 0.1661 0.5384 0.3281 0.3896 nan 0.2317 0.5104 0.3957 0.0 0.8876 0.7614 0.9526 0.0032 0.1171 0.3778 0.0
0.0643 49.3 9860 0.7355 0.4159 0.4939 0.8777 nan 0.8423 0.9557 0.7939 0.8495 0.5429 nan 0.7175 0.8320 0.0748 0.9574 0.1283 0.0 0.6710 0.0728 0.7084 0.0 0.0211 0.9312 0.1863 0.6321 0.3859 0.5260 nan 0.2964 0.6212 0.5756 0.0 0.9555 0.8396 0.9838 0.0094 0.2111 0.4841 0.0 nan 0.7584 0.8765 0.6940 0.7514 0.4006 nan 0.5930 0.6498 0.0438 0.8652 0.1112 0.0 0.4418 0.0728 0.5869 0.0 0.0209 0.7707 0.1661 0.5366 0.3264 0.3899 nan 0.2456 0.5099 0.3942 0.0 0.8869 0.7603 0.9532 0.0072 0.1160 0.3788 0.0
0.0671 49.4 9880 0.7447 0.4160 0.4946 0.8777 nan 0.8400 0.9564 0.8003 0.8508 0.5393 nan 0.7193 0.8202 0.0841 0.9561 0.1303 0.0 0.6808 0.0803 0.7160 0.0 0.0180 0.9329 0.1805 0.6364 0.3888 0.5383 nan 0.2899 0.6208 0.5842 0.0 0.9553 0.8362 0.9844 0.0111 0.1967 0.4782 0.0 nan 0.7581 0.8765 0.6879 0.7514 0.4014 nan 0.5924 0.6533 0.0488 0.8656 0.1124 0.0 0.4460 0.0803 0.5854 0.0 0.0179 0.7700 0.1612 0.5372 0.3270 0.3889 nan 0.2425 0.5099 0.3944 0.0 0.8867 0.7602 0.9529 0.0084 0.1167 0.3799 0.0
0.0706 49.5 9900 0.7401 0.4150 0.4933 0.8775 nan 0.8401 0.9563 0.7972 0.8519 0.5382 nan 0.7231 0.8251 0.0681 0.9572 0.1265 0.0 0.6689 0.0728 0.7077 0.0 0.0200 0.9336 0.1805 0.6236 0.3934 0.5249 nan 0.2937 0.6237 0.5834 0.0 0.9554 0.8395 0.9831 0.0091 0.2201 0.4694 0.0 nan 0.7584 0.8766 0.6901 0.7510 0.4012 nan 0.5928 0.6518 0.0408 0.8652 0.1098 0.0 0.4336 0.0728 0.5861 0.0 0.0199 0.7688 0.1606 0.5332 0.3284 0.3879 nan 0.2446 0.5098 0.3961 0.0 0.8869 0.7609 0.9535 0.0070 0.1169 0.3748 0.0
0.1163 49.6 9920 0.7314 0.4154 0.4931 0.8776 nan 0.8406 0.9555 0.7982 0.8534 0.5451 nan 0.7131 0.8257 0.0790 0.9569 0.1210 0.0 0.6700 0.0738 0.7103 0.0 0.0224 0.9322 0.1839 0.6400 0.3738 0.5067 nan 0.3024 0.6231 0.5802 0.0 0.9561 0.8347 0.9831 0.0082 0.2098 0.4802 0.0 nan 0.7584 0.8768 0.6893 0.7502 0.4007 nan 0.5928 0.6520 0.0460 0.8651 0.1058 0.0 0.4382 0.0738 0.5842 0.0 0.0223 0.7704 0.1638 0.5387 0.3210 0.3845 nan 0.2505 0.5099 0.3950 0.0 0.8865 0.7604 0.9534 0.0063 0.1171 0.3788 0.0
0.0655 49.7 9940 0.7432 0.4168 0.4966 0.8777 nan 0.8411 0.9569 0.7993 0.8503 0.5401 nan 0.7121 0.8312 0.0845 0.9536 0.1329 0.0 0.6689 0.0911 0.7217 0.0 0.0183 0.9332 0.1866 0.6354 0.3938 0.5485 nan 0.2954 0.6268 0.5871 0.0 0.9534 0.8387 0.9836 0.0106 0.2143 0.4811 0.0 nan 0.7581 0.8764 0.6886 0.7514 0.4024 nan 0.5921 0.6494 0.0486 0.8673 0.1144 0.0 0.4376 0.0911 0.5913 0.0 0.0181 0.7701 0.1660 0.5373 0.3309 0.3936 nan 0.2439 0.5109 0.3925 0.0 0.8879 0.7621 0.9533 0.0080 0.1168 0.3782 0.0
0.0654 49.8 9960 0.7503 0.4162 0.4953 0.8776 nan 0.8410 0.9559 0.8005 0.8522 0.5450 nan 0.7082 0.8301 0.0806 0.9556 0.1303 0.0 0.6670 0.0746 0.7186 0.0 0.0215 0.9323 0.1870 0.6362 0.3906 0.5446 nan 0.3029 0.6134 0.5720 0.0 0.9558 0.8356 0.9824 0.0106 0.2257 0.4792 0.0 nan 0.7582 0.8768 0.6872 0.7508 0.4013 nan 0.5918 0.6502 0.0475 0.8662 0.1127 0.0 0.4361 0.0745 0.5863 0.0 0.0213 0.7704 0.1661 0.5377 0.3288 0.3947 nan 0.2522 0.5096 0.3940 0.0 0.8870 0.7608 0.9537 0.0080 0.1186 0.3769 0.0
0.0668 49.9 9980 0.7339 0.4160 0.4957 0.8778 nan 0.8397 0.9574 0.8012 0.8533 0.5329 nan 0.7149 0.8324 0.0808 0.9581 0.1315 0.0 0.6686 0.0743 0.7097 0.0 0.0236 0.9318 0.1824 0.6321 0.3937 0.5660 nan 0.2925 0.6250 0.5827 0.0 0.9539 0.8401 0.9840 0.0107 0.2145 0.4754 0.0 nan 0.7578 0.8765 0.6865 0.7502 0.4021 nan 0.5921 0.6487 0.0468 0.8647 0.1139 0.0 0.4381 0.0743 0.5855 0.0 0.0234 0.7708 0.1630 0.5373 0.3288 0.3982 nan 0.2423 0.5108 0.3945 0.0 0.8876 0.7623 0.9531 0.0081 0.1176 0.3773 0.0
0.0611 50.0 10000 0.7413 0.4159 0.4945 0.8774 nan 0.8388 0.9573 0.8007 0.8552 0.5279 nan 0.7175 0.8243 0.0845 0.9557 0.1300 0.0 0.6660 0.0883 0.7186 0.0 0.0195 0.9361 0.1788 0.6178 0.3916 0.5516 nan 0.2882 0.6120 0.5812 0.0 0.9537 0.8377 0.9844 0.0132 0.2116 0.4815 0.0 nan 0.7575 0.8765 0.6860 0.7491 0.4030 nan 0.5916 0.6521 0.0488 0.8662 0.1122 0.0 0.4442 0.0883 0.5874 0.0 0.0193 0.7672 0.1600 0.5304 0.3282 0.3920 nan 0.2410 0.5084 0.3941 0.0 0.8872 0.7611 0.9529 0.0098 0.1155 0.3780 0.0

Framework versions

  • Transformers 4.32.1
  • Pytorch 2.0.1
  • Datasets 2.12.0
  • Tokenizers 0.13.2
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