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segformer-b0-finetuned-segments-sidewalk-2

Image Segmentation
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segformer
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segformer-b0-finetuned-segments-sidewalk-2

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: 0.6239
  • Mean Iou: 0.3639
  • Mean Accuracy: 0.4295
  • Overall Accuracy: 0.8688
  • Accuracy Unlabeled: nan
  • Accuracy Flat-road: 0.9303
  • Accuracy Flat-sidewalk: 0.9568
  • Accuracy Flat-crosswalk: 0.7986
  • Accuracy Flat-cyclinglane: 0.7668
  • Accuracy Flat-parkingdriveway: 0.5245
  • Accuracy Flat-railtrack: nan
  • Accuracy Flat-curb: 0.6224
  • Accuracy Human-person: 0.8227
  • Accuracy Human-rider: 0.0801
  • Accuracy Vehicle-car: 0.9382
  • Accuracy Vehicle-truck: 0.0034
  • Accuracy Vehicle-bus: 0.0
  • Accuracy Vehicle-tramtrain: nan
  • Accuracy Vehicle-motorcycle: 0.0
  • Accuracy Vehicle-bicycle: 0.6024
  • Accuracy Vehicle-caravan: 0.0
  • Accuracy Vehicle-cartrailer: 0.0
  • Accuracy Construction-building: 0.9205
  • Accuracy Construction-door: 0.0920
  • Accuracy Construction-wall: 0.5881
  • Accuracy Construction-fenceguardrail: 0.3950
  • Accuracy Construction-bridge: 0.0
  • Accuracy Construction-tunnel: nan
  • Accuracy Construction-stairs: 0.1424
  • Accuracy Object-pole: 0.5428
  • Accuracy Object-trafficsign: 0.3094
  • Accuracy Object-trafficlight: 0.0
  • Accuracy Nature-vegetation: 0.9186
  • Accuracy Nature-terrain: 0.8657
  • Accuracy Sky: 0.9753
  • Accuracy Void-ground: 0.0021
  • Accuracy Void-dynamic: 0.2101
  • Accuracy Void-static: 0.3071
  • Accuracy Void-unclear: 0.0
  • Iou Unlabeled: nan
  • Iou Flat-road: 0.7842
  • Iou Flat-sidewalk: 0.8908
  • Iou Flat-crosswalk: 0.7222
  • Iou Flat-cyclinglane: 0.7112
  • Iou Flat-parkingdriveway: 0.4281
  • Iou Flat-railtrack: nan
  • Iou Flat-curb: 0.5037
  • Iou Human-person: 0.5964
  • Iou Human-rider: 0.0727
  • Iou Vehicle-car: 0.8110
  • Iou Vehicle-truck: 0.0034
  • Iou Vehicle-bus: 0.0
  • Iou Vehicle-tramtrain: nan
  • Iou Vehicle-motorcycle: 0.0
  • Iou Vehicle-bicycle: 0.4516
  • Iou Vehicle-caravan: 0.0
  • Iou Vehicle-cartrailer: 0.0
  • Iou Construction-building: 0.7666
  • Iou Construction-door: 0.0887
  • Iou Construction-wall: 0.4306
  • Iou Construction-fenceguardrail: 0.3451
  • Iou Construction-bridge: 0.0
  • Iou Construction-tunnel: nan
  • Iou Construction-stairs: 0.1026
  • Iou Object-pole: 0.4296
  • Iou Object-trafficsign: 0.2761
  • Iou Object-trafficlight: 0.0
  • Iou Nature-vegetation: 0.8465
  • Iou Nature-terrain: 0.6970
  • Iou Sky: 0.9443
  • Iou Void-ground: 0.0019
  • Iou Void-dynamic: 0.1620
  • Iou Void-static: 0.2143
  • 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: Use OptimizerNames.ADAMW_TORCH_FUSED 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 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
1.5252 1.0 200 1.3247 0.1550 0.2054 0.7297 nan 0.9397 0.8662 0.0 0.2115 0.0001 nan 0.0 0.0 0.0 0.8661 0.0 0.0 nan 0.0 0.0 0.0 0.0 0.8974 0.0 0.0 0.0 0.0 nan 0.0 0.0 0.0 0.0 0.8780 0.7851 0.9227 0.0 0.0 0.0 0.0 nan 0.4728 0.7871 0.0 0.2104 0.0001 nan 0.0 0.0 0.0 0.6379 0.0 0.0 nan 0.0 0.0 0.0 0.0 0.5149 0.0 0.0 0.0 0.0 nan 0.0 0.0 0.0 0.0 0.7653 0.5953 0.8218 0.0 0.0 0.0 0.0
1.0828 2.0 400 0.9321 0.1758 0.2228 0.7772 nan 0.8795 0.9546 0.0 0.5347 0.0169 nan 0.0105 0.0 0.0 0.9274 0.0 0.0 nan 0.0 0.0 0.0 0.0 0.8816 0.0 0.0157 0.0 0.0 nan 0.0 0.0 0.0 0.0 0.9051 0.8444 0.9361 0.0 0.0 0.0000 0.0 nan 0.6377 0.7906 0.0 0.4996 0.0166 nan 0.0105 0.0 0.0 0.6113 0.0 0.0 nan 0.0 0.0 0.0 0.0 0.5941 0.0 0.0156 0.0 0.0 nan 0.0 0.0 0.0 0.0 0.7833 0.6317 0.8602 0.0 0.0 0.0000 0.0
0.8833 3.0 600 0.7874 0.2058 0.2523 0.7990 nan 0.9015 0.9449 0.0060 0.5995 0.2709 nan 0.3152 0.0 0.0 0.9176 0.0 0.0 nan 0.0 0.0 0.0 0.0 0.9401 0.0 0.2403 0.0070 0.0 nan 0.0 0.0 0.0 0.0 0.8821 0.8436 0.9499 0.0 0.0 0.0023 0.0 nan 0.6813 0.8237 0.0060 0.5688 0.2204 nan 0.2483 0.0 0.0 0.6903 0.0 0.0 nan 0.0 0.0 0.0 0.0 0.5926 0.0 0.1942 0.0070 0.0 nan 0.0 0.0 0.0 0.0 0.8040 0.6520 0.8883 0.0 0.0 0.0022 0.0
0.7784 4.0 800 0.6915 0.2374 0.2846 0.8205 nan 0.8493 0.9636 0.3340 0.7192 0.3519 nan 0.3701 0.0 0.0 0.9229 0.0 0.0 nan 0.0 0.0 0.0 0.0 0.9085 0.0 0.5460 0.0804 0.0 nan 0.0 0.0238 0.0 0.0 0.9106 0.8581 0.9532 0.0 0.0 0.0317 0.0 nan 0.7271 0.8324 0.3282 0.6464 0.2720 nan 0.2926 0.0 0.0 0.7181 0.0 0.0 nan 0.0 0.0 0.0 0.0 0.6590 0.0 0.3835 0.0782 0.0 nan 0.0 0.0237 0.0 0.0 0.8106 0.6610 0.9006 0.0 0.0 0.0272 0.0
0.6708 5.0 1000 0.6616 0.2532 0.3072 0.8245 nan 0.9030 0.9187 0.7444 0.7342 0.5117 nan 0.4464 0.0260 0.0 0.9257 0.0 0.0 nan 0.0 0.0060 0.0 0.0 0.9300 0.0 0.3548 0.1774 0.0 nan 0.0 0.0565 0.0 0.0 0.9196 0.8296 0.9621 0.0 0.0 0.0764 0.0 nan 0.7084 0.8561 0.5972 0.6356 0.3518 nan 0.3442 0.0259 0.0 0.7066 0.0 0.0 nan 0.0 0.0060 0.0 0.0 0.6498 0.0 0.2932 0.1711 0.0 nan 0.0 0.0559 0.0 0.0 0.8145 0.6738 0.8992 0.0 0.0 0.0609 0.0
0.6053 6.0 1200 0.6232 0.2717 0.3198 0.8337 nan 0.8804 0.9520 0.6130 0.7066 0.4438 nan 0.4364 0.2084 0.0 0.9152 0.0 0.0 nan 0.0 0.0588 0.0 0.0 0.9303 0.0 0.4544 0.2840 0.0 nan 0.0 0.1156 0.0 0.0 0.9025 0.9122 0.9611 0.0 0.0 0.1396 0.0 nan 0.7543 0.8457 0.5912 0.6435 0.3562 nan 0.3483 0.2009 0.0 0.7473 0.0 0.0 nan 0.0 0.0581 0.0 0.0 0.6755 0.0 0.3535 0.2559 0.0 nan 0.0 0.1115 0.0 0.0 0.8177 0.6486 0.9090 0.0 0.0 0.1062 0.0
0.5847 7.0 1400 0.6220 0.2952 0.3528 0.8392 nan 0.9387 0.9309 0.6499 0.7211 0.4699 nan 0.4353 0.5671 0.0 0.9421 0.0 0.0 nan 0.0 0.2751 0.0 0.0 0.8767 0.0 0.5625 0.3423 0.0 nan 0.0 0.2290 0.0 0.0 0.9092 0.8940 0.9660 0.0 0.0 0.2278 0.0 nan 0.7065 0.8704 0.5915 0.6559 0.3570 nan 0.3603 0.4698 0.0 0.7322 0.0 0.0 nan 0.0 0.2241 0.0 0.0 0.7204 0.0 0.4224 0.2962 0.0 nan 0.0 0.2065 0.0 0.0 0.8233 0.6612 0.9099 0.0 0.0 0.1448 0.0
0.4794 8.0 1600 0.5675 0.3122 0.3727 0.8504 nan 0.8826 0.9499 0.7673 0.7530 0.5680 nan 0.4877 0.6709 0.0 0.9244 0.0 0.0 nan 0.0 0.4154 0.0 0.0 0.9113 0.0 0.6035 0.4134 0.0 nan 0.0 0.2627 0.0 0.0 0.9161 0.8706 0.9640 0.0 0.0 0.1941 0.0 nan 0.7715 0.8701 0.6741 0.6618 0.4041 nan 0.3842 0.5230 0.0 0.7657 0.0 0.0 nan 0.0 0.3257 0.0 0.0 0.7321 0.0 0.4307 0.3373 0.0 nan 0.0 0.2309 0.0 0.0 0.8282 0.6829 0.9199 0.0 0.0 0.1374 0.0
0.4665 9.0 1800 0.5937 0.3104 0.3783 0.8457 nan 0.9189 0.9422 0.8545 0.6934 0.4817 nan 0.5150 0.6599 0.0 0.9353 0.0 0.0 nan 0.0 0.4597 0.0 0.0 0.8714 0.0 0.6139 0.4457 0.0 nan 0.0 0.2994 0.0 0.0 0.8992 0.9078 0.9697 0.0 0.0 0.2597 0.0 nan 0.7380 0.8734 0.6393 0.6584 0.3722 nan 0.4086 0.5220 0.0 0.7629 0.0 0.0 nan 0.0 0.3471 0.0 0.0 0.7278 0.0 0.4000 0.3404 0.0 nan 0.0 0.2608 0.0 0.0 0.8272 0.6653 0.9156 0.0 0.0 0.1636 0.0
0.449 10.0 2000 0.5719 0.3140 0.3753 0.8506 nan 0.9208 0.9387 0.8194 0.7347 0.5100 nan 0.5568 0.7295 0.0 0.9193 0.0 0.0 nan 0.0 0.4830 0.0 0.0 0.9398 0.0 0.5007 0.3882 0.0 nan 0.0 0.3296 0.0 0.0 0.9250 0.8098 0.9632 0.0 0.0 0.1648 0.0 nan 0.7504 0.8783 0.6518 0.6672 0.4034 nan 0.4152 0.5492 0.0 0.7836 0.0 0.0 nan 0.0 0.3679 0.0 0.0 0.7111 0.0 0.3889 0.3289 0.0 nan 0.0 0.2850 0.0 0.0 0.8274 0.6677 0.9229 0.0 0.0 0.1348 0.0
0.4013 11.0 2200 0.5893 0.3150 0.3781 0.8507 nan 0.9231 0.9474 0.6910 0.7064 0.4417 nan 0.5630 0.7728 0.0 0.9261 0.0 0.0 nan 0.0 0.5369 0.0 0.0 0.8954 0.0 0.5906 0.3274 0.0 nan 0.0 0.3577 0.0 0.0 0.9222 0.8732 0.9702 0.0 0.0 0.2759 0.0 nan 0.7606 0.8652 0.6111 0.6619 0.3770 nan 0.4275 0.5429 0.0 0.7819 0.0 0.0 nan 0.0 0.3695 0.0 0.0 0.7407 0.0 0.4309 0.3002 0.0 nan 0.0 0.2994 0.0 0.0 0.8304 0.6690 0.9230 0.0 0.0 0.1730 0.0
0.3649 12.0 2400 0.5821 0.3153 0.3759 0.8512 nan 0.9292 0.9524 0.6898 0.7326 0.4305 nan 0.4899 0.7182 0.0 0.9474 0.0 0.0 nan 0.0 0.5022 0.0 0.0 0.9224 0.0 0.5107 0.4147 0.0 nan 0.0 0.3983 0.0 0.0 0.8970 0.8723 0.9641 0.0 0.0 0.2801 0.0 nan 0.7527 0.8724 0.6327 0.6743 0.3413 nan 0.4025 0.5384 0.0 0.7577 0.0 0.0 nan 0.0 0.3569 0.0 0.0 0.7369 0.0 0.3924 0.3570 0.0 nan 0.0 0.3273 0.0 0.0 0.8380 0.6862 0.9272 0.0 0.0 0.1791 0.0
0.3722 13.0 2600 0.5797 0.3183 0.3829 0.8525 nan 0.9292 0.9516 0.7048 0.7321 0.4576 nan 0.5115 0.7045 0.0 0.9364 0.0 0.0 nan 0.0 0.5786 0.0 0.0 0.8904 0.0 0.5126 0.4866 0.0 nan 0.0 0.3932 0.0 0.0 0.9193 0.8160 0.9762 0.0 0.0 0.3681 0.0 nan 0.7544 0.8793 0.6394 0.6714 0.3823 nan 0.4154 0.5361 0.0 0.7784 0.0 0.0 nan 0.0 0.3876 0.0 0.0 0.7455 0.0 0.4034 0.3509 0.0 nan 0.0 0.3137 0.0 0.0 0.8333 0.6618 0.9224 0.0 0.0 0.1932 0.0
0.35 14.0 2800 0.5711 0.3223 0.3936 0.8555 nan 0.9147 0.9466 0.7857 0.7656 0.5210 nan 0.5266 0.7862 0.0 0.9328 0.0 0.0 nan 0.0 0.5779 0.0 0.0 0.8934 0.0 0.6794 0.4617 0.0 nan 0.0 0.4143 0.0 0.0 0.9064 0.8670 0.9734 0.0 0.0112 0.2377 0.0 nan 0.7585 0.8812 0.6273 0.6824 0.3891 nan 0.4284 0.5557 0.0 0.7868 0.0 0.0 nan 0.0 0.3608 0.0 0.0 0.7432 0.0 0.4371 0.3521 0.0 nan 0.0 0.3494 0.0 0.0 0.8378 0.6924 0.9277 0.0 0.0109 0.1709 0.0
0.4052 15.0 3000 0.5726 0.3234 0.3883 0.8558 nan 0.9076 0.9574 0.8249 0.7850 0.4000 nan 0.5334 0.6873 0.0 0.9345 0.0 0.0 nan 0.0 0.5735 0.0 0.0 0.9241 0.0 0.6157 0.4562 0.0 nan 0.0 0.4441 0.0 0.0 0.9023 0.8291 0.9701 0.0 0.0040 0.2885 0.0 nan 0.7791 0.8713 0.6692 0.7112 0.3348 nan 0.4416 0.5400 0.0 0.7881 0.0 0.0 nan 0.0 0.4003 0.0 0.0 0.7450 0.0 0.4263 0.3410 0.0 nan 0.0 0.3530 0.0 0.0 0.8342 0.6733 0.9312 0.0 0.0039 0.1830 0.0
0.3392 16.0 3200 0.5728 0.3251 0.3882 0.8575 nan 0.9418 0.9385 0.6795 0.7461 0.5256 nan 0.5909 0.7917 0.0 0.9230 0.0 0.0 nan 0.0 0.5246 0.0 0.0 0.9260 0.0 0.6370 0.3985 0.0 nan 0.0 0.3652 0.0 0.0 0.9123 0.8744 0.9738 0.0 0.0282 0.2583 0.0 nan 0.7560 0.8827 0.6359 0.6779 0.4093 nan 0.4713 0.5438 0.0 0.7975 0.0 0.0 nan 0.0 0.4111 0.0 0.0 0.7414 0.0 0.4293 0.3449 0.0 nan 0.0 0.3110 0.0 0.0 0.8434 0.6906 0.9307 0.0 0.0272 0.1752 0.0
0.3064 17.0 3400 0.5712 0.3263 0.3894 0.8602 nan 0.9127 0.9531 0.6862 0.7846 0.5626 nan 0.5086 0.8062 0.0 0.9212 0.0 0.0 nan 0.0 0.5993 0.0 0.0 0.9162 0.0 0.5798 0.3374 0.0 nan 0.0 0.4634 0.0 0.0 0.9260 0.8591 0.9740 0.0 0.0414 0.2384 0.0 nan 0.7783 0.8819 0.6306 0.6949 0.4330 nan 0.4301 0.5535 0.0 0.8037 0.0 0.0 nan 0.0 0.4054 0.0 0.0 0.7479 0.0 0.4256 0.3056 0.0 nan 0.0 0.3702 0.0 0.0 0.8387 0.6819 0.9323 0.0 0.0385 0.1618 0.0
0.3175 18.0 3600 0.5797 0.3307 0.3922 0.8613 nan 0.9265 0.9544 0.8210 0.7680 0.4757 nan 0.5597 0.7474 0.0 0.9416 0.0 0.0 nan 0.0 0.5090 0.0 0.0 0.9188 0.0 0.5601 0.4265 0.0 nan 0.0 0.4557 0.0 0.0 0.9229 0.8356 0.9694 0.0003 0.0928 0.2729 0.0 nan 0.7779 0.8816 0.6873 0.7167 0.3982 nan 0.4533 0.5653 0.0 0.7859 0.0 0.0 nan 0.0 0.3787 0.0 0.0 0.7471 0.0 0.4041 0.3601 0.0 nan 0.0 0.3658 0.0 0.0 0.8395 0.6791 0.9348 0.0003 0.0844 0.1911 0.0
0.2812 19.0 3800 0.5727 0.3317 0.3947 0.8617 nan 0.9103 0.9641 0.6588 0.7772 0.5050 nan 0.5407 0.7937 0.0 0.9281 0.0 0.0 nan 0.0 0.5663 0.0 0.0 0.9106 0.0125 0.6289 0.4329 0.0 nan 0.0 0.4491 0.0 0.0 0.9108 0.8637 0.9694 0.0008 0.1311 0.2818 0.0 nan 0.7930 0.8728 0.6056 0.7049 0.4102 nan 0.4489 0.5563 0.0 0.7973 0.0 0.0 nan 0.0 0.3961 0.0 0.0 0.7513 0.0125 0.4352 0.3480 0.0 nan 0.0 0.3669 0.0 0.0 0.8474 0.7007 0.9351 0.0008 0.1106 0.1902 0.0
0.29 20.0 4000 0.5889 0.3342 0.3966 0.8610 nan 0.9247 0.9601 0.7726 0.7348 0.4902 nan 0.5762 0.7844 0.0 0.9310 0.0 0.0 nan 0.0 0.5842 0.0 0.0 0.9166 0.0164 0.6228 0.3726 0.0 nan 0.0115 0.4237 0.0 0.0 0.9235 0.7909 0.9747 0.0004 0.1441 0.3404 0.0 nan 0.7727 0.8840 0.6831 0.6759 0.4054 nan 0.4713 0.5769 0.0 0.7983 0.0 0.0 nan 0.0 0.4111 0.0 0.0 0.7522 0.0163 0.4382 0.3334 0.0 nan 0.0109 0.3492 0.0 0.0 0.8399 0.6679 0.9357 0.0004 0.1256 0.2104 0.0
0.2893 21.0 4200 0.5696 0.3390 0.4048 0.8630 nan 0.9154 0.9588 0.7652 0.7773 0.5067 nan 0.5773 0.7783 0.0 0.9372 0.0 0.0 nan 0.0 0.5961 0.0 0.0 0.8886 0.0297 0.6513 0.4128 0.0 nan 0.0364 0.4923 0.0 0.0 0.9220 0.8433 0.9713 0.0031 0.1541 0.3311 0.0 nan 0.7830 0.8819 0.7007 0.7069 0.4095 nan 0.4751 0.5599 0.0 0.8022 0.0 0.0 nan 0.0 0.3978 0.0 0.0 0.7595 0.0293 0.4310 0.3480 0.0 nan 0.0312 0.3892 0.0 0.0 0.8428 0.6768 0.9381 0.0029 0.1283 0.2157 0.0
0.2599 22.0 4400 0.5824 0.3365 0.3995 0.8628 nan 0.9409 0.9466 0.6605 0.7527 0.5463 nan 0.6185 0.7515 0.0 0.9405 0.0 0.0 nan 0.0 0.5354 0.0 0.0 0.9216 0.0172 0.5745 0.4357 0.0 nan 0.0018 0.4803 0.0 0.0 0.9220 0.8330 0.9750 0.0053 0.2454 0.2796 0.0 nan 0.7634 0.8903 0.5985 0.6945 0.4442 nan 0.4780 0.5638 0.0 0.7913 0.0 0.0 nan 0.0 0.3994 0.0 0.0 0.7550 0.0171 0.4304 0.3617 0.0 nan 0.0017 0.3861 0.0 0.0 0.8430 0.6843 0.9361 0.0049 0.1900 0.1970 0.0
0.2567 23.0 4600 0.5642 0.3382 0.4061 0.8622 nan 0.9209 0.9478 0.7278 0.7886 0.5284 nan 0.5733 0.8097 0.0 0.9457 0.0 0.0 nan 0.0 0.6070 0.0 0.0 0.9050 0.0767 0.6157 0.3499 0.0 nan 0.0128 0.4538 0.0029 0.0 0.9194 0.8696 0.9735 0.0015 0.2207 0.3374 0.0 nan 0.7806 0.8828 0.6603 0.6751 0.4127 nan 0.4684 0.5528 0.0 0.7868 0.0 0.0 nan 0.0 0.4042 0.0 0.0 0.7700 0.0741 0.4504 0.3198 0.0 nan 0.0118 0.3731 0.0029 0.0 0.8453 0.6956 0.9377 0.0013 0.1627 0.2143 0.0
0.2544 24.0 4800 0.5883 0.3353 0.3952 0.8647 nan 0.9320 0.9599 0.5678 0.7685 0.5234 nan 0.5846 0.8009 0.0 0.9335 0.0 0.0 nan 0.0 0.5446 0.0 0.0 0.9274 0.0749 0.6032 0.3318 0.0 nan 0.0318 0.4748 0.0063 0.0 0.9121 0.8856 0.9746 0.0019 0.1562 0.2564 0.0 nan 0.7759 0.8889 0.5340 0.7072 0.4299 nan 0.4791 0.5746 0.0 0.8011 0.0 0.0 nan 0.0 0.4049 0.0 0.0 0.7471 0.0738 0.4371 0.3063 0.0 nan 0.0279 0.3910 0.0063 0.0 0.8465 0.6989 0.9385 0.0019 0.1336 0.1895 0.0
0.265 25.0 5000 0.5864 0.3394 0.4048 0.8627 nan 0.9235 0.9436 0.6996 0.7650 0.5531 nan 0.6098 0.8128 0.0 0.9458 0.0 0.0 nan 0.0 0.5760 0.0 0.0 0.9144 0.0492 0.6492 0.3890 0.0 nan 0.0291 0.4765 0.0066 0.0 0.9200 0.8820 0.9718 0.0002 0.1714 0.2600 0.0 nan 0.7671 0.8834 0.6386 0.6786 0.4353 nan 0.4840 0.5792 0.0 0.7932 0.0 0.0 nan 0.0 0.4224 0.0 0.0 0.7567 0.0481 0.4480 0.3438 0.0 nan 0.0253 0.3909 0.0066 0.0 0.8498 0.7078 0.9396 0.0002 0.1406 0.1823 0.0
0.2373 26.0 5200 0.5906 0.3418 0.4053 0.8632 nan 0.9362 0.9515 0.7216 0.7472 0.4852 nan 0.6105 0.8024 0.0 0.9341 0.0 0.0 nan 0.0 0.5854 0.0 0.0 0.9183 0.0186 0.5765 0.4164 0.0 nan 0.0752 0.4962 0.0127 0.0 0.9241 0.8422 0.9742 0.0029 0.2179 0.3144 0.0 nan 0.7723 0.8871 0.6565 0.6859 0.4018 nan 0.4769 0.5784 0.0 0.8073 0.0 0.0 nan 0.0 0.4341 0.0 0.0 0.7594 0.0184 0.4294 0.3545 0.0 nan 0.0678 0.3988 0.0127 0.0 0.8428 0.6863 0.9396 0.0026 0.1711 0.2131 0.0
0.2114 27.0 5400 0.5928 0.3442 0.4087 0.8652 nan 0.9247 0.9586 0.7716 0.7636 0.4931 nan 0.5760 0.8078 0.0 0.9332 0.0 0.0 nan 0.0 0.6043 0.0 0.0 0.9103 0.0438 0.6214 0.4038 0.0 nan 0.0505 0.5068 0.0196 0.0 0.9116 0.8914 0.9711 0.0018 0.1542 0.3507 0.0 nan 0.7785 0.8871 0.7002 0.6948 0.4118 nan 0.4711 0.5818 0.0 0.8091 0.0 0.0 nan 0.0 0.4363 0.0 0.0 0.7676 0.0426 0.4513 0.3427 0.0 nan 0.0445 0.4096 0.0196 0.0 0.8426 0.6956 0.9416 0.0017 0.1249 0.2163 0.0
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0.228 29.0 5800 0.5945 0.3502 0.4174 0.8659 nan 0.9136 0.9573 0.8555 0.7754 0.5211 nan 0.6044 0.8100 0.0039 0.9373 0.0 0.0 nan 0.0 0.6592 0.0 0.0 0.9169 0.1093 0.5599 0.3616 0.0 nan 0.0667 0.5059 0.1095 0.0 0.9188 0.8685 0.9757 0.0009 0.2069 0.2996 0.0 nan 0.7897 0.8856 0.7317 0.7052 0.4226 nan 0.4826 0.5840 0.0039 0.8072 0.0 0.0 nan 0.0 0.4329 0.0 0.0 0.7566 0.1031 0.4162 0.3238 0.0 nan 0.0525 0.4049 0.1091 0.0 0.8452 0.6931 0.9401 0.0008 0.1591 0.2057 0.0
0.2012 30.0 6000 0.5864 0.3522 0.4174 0.8655 nan 0.9333 0.9470 0.7502 0.7592 0.5913 nan 0.5886 0.8147 0.0017 0.9371 0.0 0.0 nan 0.0 0.5959 0.0 0.0 0.9199 0.0823 0.6049 0.3702 0.0 nan 0.0896 0.5384 0.1354 0.0 0.9157 0.8689 0.9762 0.0053 0.2055 0.3068 0.0 nan 0.7692 0.8898 0.6835 0.6997 0.4510 nan 0.4856 0.5769 0.0017 0.8099 0.0 0.0 nan 0.0 0.4525 0.0 0.0 0.7627 0.0814 0.4471 0.3339 0.0 nan 0.0732 0.4154 0.1345 0.0 0.8450 0.6913 0.9402 0.0047 0.1605 0.2077 0.0
0.2039 31.0 6200 0.5805 0.3533 0.4181 0.8670 nan 0.9197 0.9561 0.8130 0.7742 0.5321 nan 0.6189 0.8124 0.0152 0.9456 0.0 0.0 nan 0.0 0.5880 0.0 0.0 0.9282 0.0750 0.5905 0.3841 0.0 nan 0.0633 0.5249 0.1800 0.0 0.9080 0.8810 0.9757 0.0044 0.1948 0.2757 0.0 nan 0.7800 0.8909 0.7144 0.7025 0.4346 nan 0.4947 0.5867 0.0150 0.8052 0.0 0.0 nan 0.0 0.4411 0.0 0.0 0.7599 0.0734 0.4361 0.3378 0.0 nan 0.0536 0.4171 0.1770 0.0 0.8467 0.6960 0.9403 0.0039 0.1523 0.1944 0.0
0.2057 32.0 6400 0.5959 0.3554 0.4227 0.8677 nan 0.9304 0.9542 0.8210 0.7720 0.5453 nan 0.5990 0.8198 0.0130 0.9481 0.0 0.0 nan 0.0 0.5888 0.0 0.0 0.9037 0.0898 0.6606 0.3997 0.0 nan 0.1170 0.5211 0.2018 0.0 0.9126 0.8856 0.9762 0.0035 0.1670 0.2735 0.0 nan 0.7862 0.8887 0.7279 0.7033 0.4330 nan 0.4875 0.5731 0.0129 0.7967 0.0 0.0 nan 0.0 0.4124 0.0 0.0 0.7707 0.0822 0.4647 0.3484 0.0 nan 0.0962 0.4168 0.1971 0.0 0.8462 0.6948 0.9409 0.0033 0.1361 0.1983 0.0
0.2024 33.0 6600 0.6130 0.3550 0.4195 0.8670 nan 0.9295 0.9574 0.7335 0.7651 0.5047 nan 0.6243 0.8064 0.0152 0.9409 0.0 0.0 nan 0.0 0.6080 0.0 0.0 0.9160 0.0653 0.6355 0.3859 0.0 nan 0.0929 0.5448 0.2390 0.0 0.9213 0.8488 0.9733 0.0008 0.2285 0.2658 0.0 nan 0.7708 0.8907 0.6743 0.7038 0.4145 nan 0.5005 0.5913 0.0152 0.8047 0.0 0.0 nan 0.0 0.4286 0.0 0.0 0.7674 0.0632 0.4636 0.3381 0.0 nan 0.0765 0.4252 0.2265 0.0 0.8444 0.6920 0.9425 0.0008 0.1724 0.1976 0.0
0.2029 34.0 6800 0.6111 0.3582 0.4272 0.8657 nan 0.9284 0.9506 0.7718 0.7397 0.5563 nan 0.6333 0.8399 0.0273 0.9443 0.0 0.0 nan 0.0 0.6008 0.0 0.0 0.9095 0.1291 0.6173 0.3852 0.0 nan 0.1255 0.5302 0.2448 0.0 0.9119 0.8841 0.9788 0.0031 0.2001 0.3307 0.0 nan 0.7711 0.8905 0.7052 0.6877 0.4286 nan 0.5013 0.5694 0.0267 0.8054 0.0 0.0 nan 0.0 0.4463 0.0 0.0 0.7696 0.1200 0.4481 0.3428 0.0 nan 0.0863 0.4184 0.2310 0.0 0.8472 0.6883 0.9389 0.0029 0.1540 0.2247 0.0
0.2014 35.0 7000 0.5979 0.3599 0.4268 0.8690 nan 0.9314 0.9530 0.8100 0.7829 0.5436 nan 0.6089 0.8263 0.0253 0.9358 0.0 0.0 nan 0.0 0.6424 0.0 0.0 0.9141 0.0699 0.6049 0.4179 0.0 nan 0.1161 0.5321 0.2551 0.0 0.9204 0.8700 0.9739 0.0018 0.1764 0.3174 0.0 nan 0.7833 0.8920 0.7285 0.7128 0.4326 nan 0.4902 0.5868 0.0248 0.8106 0.0 0.0 nan 0.0 0.4511 0.0 0.0 0.7709 0.0679 0.4501 0.3507 0.0 nan 0.0936 0.4260 0.2389 0.0 0.8461 0.7000 0.9423 0.0017 0.1396 0.2161 0.0
0.183 36.0 7200 0.6054 0.3605 0.4267 0.8678 nan 0.9321 0.9573 0.7976 0.7539 0.5152 nan 0.6124 0.7855 0.0409 0.9365 0.0 0.0 nan 0.0 0.6078 0.0 0.0 0.9118 0.0789 0.6223 0.4134 0.0 nan 0.1381 0.5249 0.2673 0.0 0.9135 0.8822 0.9760 0.0017 0.2150 0.3416 0.0 nan 0.7849 0.8896 0.7113 0.7022 0.4268 nan 0.4882 0.5924 0.0401 0.8067 0.0 0.0 nan 0.0 0.4517 0.0 0.0 0.7711 0.0751 0.4504 0.3483 0.0 nan 0.0976 0.4223 0.2504 0.0 0.8467 0.6894 0.9430 0.0016 0.1628 0.2232 0.0
0.1845 37.0 7400 0.6137 0.3590 0.4230 0.8684 nan 0.9267 0.9576 0.7732 0.7622 0.5475 nan 0.6251 0.8078 0.0370 0.9447 0.0 0.0 nan 0.0 0.5831 0.0 0.0 0.9212 0.1077 0.5744 0.3924 0.0 nan 0.1230 0.5215 0.2677 0.0 0.9215 0.8562 0.9740 0.0002 0.1912 0.2976 0.0 nan 0.7844 0.8928 0.6946 0.7062 0.4377 nan 0.4995 0.5878 0.0356 0.8029 0.0 0.0 nan 0.0 0.4397 0.0 0.0 0.7632 0.1008 0.4252 0.3464 0.0 nan 0.0899 0.4227 0.2488 0.0 0.8458 0.6911 0.9429 0.0001 0.1557 0.2141 0.0
0.1794 38.0 7600 0.6236 0.3586 0.4251 0.8672 nan 0.9365 0.9543 0.7917 0.7394 0.5352 nan 0.6191 0.8079 0.0424 0.9436 0.0 0.0 nan 0.0 0.6282 0.0 0.0 0.9195 0.0774 0.5849 0.4156 0.0 nan 0.1327 0.5333 0.2796 0.0 0.9181 0.8621 0.9752 0.0030 0.1808 0.2970 0.0 nan 0.7742 0.8933 0.6994 0.6916 0.4336 nan 0.4981 0.5885 0.0415 0.8046 0.0 0.0 nan 0.0 0.4467 0.0 0.0 0.7673 0.0733 0.4289 0.3524 0.0 nan 0.1009 0.4259 0.2569 0.0 0.8479 0.6881 0.9431 0.0027 0.1436 0.2131 0.0
0.1926 39.0 7800 0.6191 0.3609 0.4277 0.8675 nan 0.9367 0.9534 0.7458 0.7627 0.5423 nan 0.6013 0.8002 0.0675 0.9448 0.0 0.0 nan 0.0 0.6211 0.0 0.0 0.9165 0.0986 0.6138 0.3900 0.0 nan 0.1318 0.5391 0.2957 0.0 0.9102 0.8792 0.9803 0.0016 0.1989 0.3277 0.0 nan 0.7791 0.8916 0.6802 0.7022 0.4283 nan 0.4923 0.5955 0.0635 0.8032 0.0 0.0 nan 0.0 0.4496 0.0 0.0 0.7683 0.0913 0.4418 0.3403 0.0 nan 0.1014 0.4287 0.2672 0.0 0.8498 0.6975 0.9408 0.0015 0.1497 0.2231 0.0
0.1877 40.0 8000 0.6196 0.3606 0.4264 0.8681 nan 0.9313 0.9524 0.7984 0.7764 0.5104 nan 0.6301 0.8103 0.0575 0.9366 0.0 0.0 nan 0.0 0.6371 0.0 0.0 0.9178 0.0691 0.6262 0.3961 0.0 nan 0.1259 0.5162 0.2911 0.0 0.9204 0.8763 0.9754 0.0010 0.1659 0.2965 0.0 nan 0.7811 0.8891 0.7185 0.7169 0.4128 nan 0.5023 0.5963 0.0548 0.8120 0.0 0.0 nan 0.0 0.4516 0.0 0.0 0.7686 0.0668 0.4463 0.3423 0.0 nan 0.0991 0.4230 0.2659 0.0 0.8475 0.6930 0.9437 0.0010 0.1328 0.2119 0.0
0.1859 41.0 8200 0.6079 0.3632 0.4307 0.8681 nan 0.9268 0.9518 0.8516 0.7772 0.5192 nan 0.6295 0.8155 0.0725 0.9401 0.0 0.0 nan 0.0 0.6156 0.0 0.0 0.9186 0.1032 0.5852 0.3952 0.0 nan 0.1349 0.5329 0.3054 0.0 0.9221 0.8629 0.9740 0.0023 0.1812 0.3325 0.0 nan 0.7835 0.8893 0.7300 0.7157 0.4213 nan 0.5020 0.5934 0.0680 0.8112 0.0 0.0 nan 0.0 0.4556 0.0 0.0 0.7696 0.0972 0.4375 0.3389 0.0 nan 0.0944 0.4295 0.2732 0.0 0.8458 0.6904 0.9439 0.0021 0.1422 0.2228 0.0
0.183 42.0 8400 0.6249 0.3619 0.4262 0.8683 nan 0.9277 0.9597 0.7976 0.7696 0.5073 nan 0.6131 0.8047 0.0780 0.9426 0.0002 0.0 nan 0.0 0.6214 0.0 0.0 0.9289 0.1236 0.5632 0.3720 0.0 nan 0.1237 0.5252 0.2992 0.0 0.9116 0.8818 0.9752 0.0007 0.1914 0.2930 0.0 nan 0.7858 0.8897 0.7201 0.7108 0.4180 nan 0.4975 0.5981 0.0717 0.8095 0.0002 0.0 nan 0.0 0.4487 0.0 0.0 0.7608 0.1193 0.4199 0.3349 0.0 nan 0.0885 0.4253 0.2708 0.0 0.8478 0.7007 0.9439 0.0006 0.1512 0.2043 0.0
0.1825 43.0 8600 0.6140 0.3619 0.4257 0.8684 nan 0.9300 0.9574 0.7995 0.7678 0.5089 nan 0.6145 0.8086 0.0913 0.9404 0.0003 0.0 nan 0.0 0.6103 0.0 0.0 0.9249 0.1068 0.5833 0.3822 0.0 nan 0.1246 0.5249 0.2777 0.0 0.9174 0.8708 0.9787 0.0006 0.1716 0.3036 0.0 nan 0.7874 0.8890 0.7258 0.7150 0.4172 nan 0.4979 0.6013 0.0829 0.8099 0.0003 0.0 nan 0.0 0.4436 0.0 0.0 0.7639 0.1033 0.4325 0.3399 0.0 nan 0.0959 0.4248 0.2558 0.0 0.8461 0.6878 0.9418 0.0006 0.1413 0.2159 0.0
0.1756 44.0 8800 0.6171 0.3626 0.4282 0.8682 nan 0.9292 0.9589 0.7891 0.7559 0.5223 nan 0.6243 0.8112 0.0855 0.9391 0.0008 0.0 nan 0.0 0.6062 0.0 0.0 0.9219 0.0688 0.5809 0.4048 0.0 nan 0.1603 0.5328 0.3007 0.0 0.9112 0.8788 0.9765 0.0025 0.1919 0.3208 0.0 nan 0.7822 0.8915 0.7200 0.7012 0.4276 nan 0.4998 0.5977 0.0784 0.8096 0.0008 0.0 nan 0.0 0.4484 0.0 0.0 0.7660 0.0672 0.4319 0.3471 0.0 nan 0.1180 0.4276 0.2701 0.0 0.8473 0.6918 0.9433 0.0023 0.1508 0.2195 0.0
0.1956 45.0 9000 0.6196 0.3636 0.4290 0.8683 nan 0.9261 0.9561 0.8012 0.7669 0.5367 nan 0.6305 0.7923 0.0732 0.9437 0.0022 0.0 nan 0.0 0.5879 0.0 0.0 0.9192 0.0748 0.5993 0.4074 0.0 nan 0.1611 0.5260 0.3126 0.0 0.9165 0.8656 0.9764 0.0022 0.2216 0.2979 0.0 nan 0.7856 0.8904 0.7204 0.6991 0.4321 nan 0.5030 0.5971 0.0677 0.8039 0.0022 0.0 nan 0.0 0.4508 0.0 0.0 0.7675 0.0724 0.4328 0.3531 0.0 nan 0.1195 0.4272 0.2759 0.0 0.8470 0.6937 0.9440 0.0020 0.1707 0.2121 0.0
0.1708 46.0 9200 0.6278 0.3644 0.4321 0.8686 nan 0.9255 0.9548 0.8237 0.7717 0.5089 nan 0.6423 0.8270 0.0918 0.9430 0.0021 0.0 nan 0.0 0.6155 0.0 0.0 0.9174 0.1033 0.5920 0.3865 0.0 nan 0.1408 0.5407 0.3031 0.0 0.9175 0.8807 0.9750 0.0020 0.2063 0.3250 0.0 nan 0.7844 0.8914 0.7321 0.7105 0.4213 nan 0.5058 0.5903 0.0838 0.8084 0.0021 0.0 nan 0.0 0.4544 0.0 0.0 0.7686 0.0993 0.4309 0.3424 0.0 nan 0.1074 0.4291 0.2733 0.0 0.8471 0.6901 0.9442 0.0018 0.1553 0.2211 0.0
0.1762 47.0 9400 0.6195 0.3629 0.4287 0.8689 nan 0.9311 0.9555 0.8089 0.7763 0.5164 nan 0.6289 0.8042 0.0887 0.9448 0.0029 0.0 nan 0.0 0.6126 0.0 0.0 0.9194 0.0899 0.6052 0.3815 0.0 nan 0.1362 0.5387 0.3086 0.0 0.9159 0.8756 0.9758 0.0011 0.1731 0.2993 0.0 nan 0.7855 0.8903 0.7257 0.7175 0.4236 nan 0.5011 0.5970 0.0832 0.8046 0.0029 0.0 nan 0.0 0.4425 0.0 0.0 0.7668 0.0877 0.4350 0.3409 0.0 nan 0.0994 0.4269 0.2763 0.0 0.8473 0.6953 0.9441 0.0010 0.1394 0.2143 0.0
0.169 48.0 9600 0.6252 0.3633 0.4300 0.8682 nan 0.9307 0.9532 0.7900 0.7732 0.5185 nan 0.6271 0.8177 0.0882 0.9409 0.0030 0.0 nan 0.0 0.6232 0.0 0.0 0.9169 0.0804 0.5977 0.3979 0.0 nan 0.1388 0.5397 0.3060 0.0 0.9197 0.8718 0.9762 0.0019 0.2055 0.3113 0.0 nan 0.7824 0.8902 0.7167 0.7089 0.4250 nan 0.5032 0.5969 0.0802 0.8099 0.0030 0.0 nan 0.0 0.4533 0.0 0.0 0.7683 0.0783 0.4323 0.3474 0.0 nan 0.1002 0.4278 0.2751 0.0 0.8465 0.6947 0.9439 0.0017 0.1584 0.2167 0.0
0.1737 49.0 9800 0.6273 0.3639 0.4313 0.8686 nan 0.9284 0.9562 0.8167 0.7662 0.5215 nan 0.6284 0.8222 0.0736 0.9435 0.0030 0.0 nan 0.0 0.6132 0.0 0.0 0.9196 0.0954 0.5847 0.3964 0.0 nan 0.1587 0.5329 0.3142 0.0 0.9151 0.8712 0.9780 0.0019 0.2078 0.3201 0.0 nan 0.7826 0.8910 0.7249 0.7090 0.4276 nan 0.5043 0.5953 0.0678 0.8073 0.0030 0.0 nan 0.0 0.4504 0.0 0.0 0.7674 0.0914 0.4300 0.3459 0.0 nan 0.1115 0.4268 0.2775 0.0 0.8475 0.6963 0.9432 0.0018 0.1592 0.2193 0.0
0.1791 50.0 10000 0.6239 0.3639 0.4295 0.8688 nan 0.9303 0.9568 0.7986 0.7668 0.5245 nan 0.6224 0.8227 0.0801 0.9382 0.0034 0.0 nan 0.0 0.6024 0.0 0.0 0.9205 0.0920 0.5881 0.3950 0.0 nan 0.1424 0.5428 0.3094 0.0 0.9186 0.8657 0.9753 0.0021 0.2101 0.3071 0.0 nan 0.7842 0.8908 0.7222 0.7112 0.4281 nan 0.5037 0.5964 0.0727 0.8110 0.0034 0.0 nan 0.0 0.4516 0.0 0.0 0.7666 0.0887 0.4306 0.3451 0.0 nan 0.1026 0.4296 0.2761 0.0 0.8465 0.6970 0.9443 0.0019 0.1620 0.2143 0.0

Framework versions

  • Transformers 4.57.1
  • Pytorch 2.8.0+cu126
  • Datasets 4.0.0
  • Tokenizers 0.22.1
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