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metadata
library_name: transformers
license: other
base_model: nvidia/mit-b0
tags:
  - image-segmentation
  - vision
  - generated_from_trainer
model-index:
  - name: segformer-finetuned-sidewalk-10k-steps
    results: []

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: 0.6392
  • Mean Iou: 0.2886
  • Mean Accuracy: 0.3681
  • Overall Accuracy: 0.8204
  • Accuracy Unlabeled: nan
  • Accuracy Flat-road: 0.7238
  • Accuracy Flat-sidewalk: 0.9385
  • Accuracy Flat-crosswalk: 0.7581
  • Accuracy Flat-cyclinglane: 0.8054
  • Accuracy Flat-parkingdriveway: 0.3003
  • Accuracy Flat-railtrack: nan
  • Accuracy Flat-curb: 0.3967
  • Accuracy Human-person: 0.6829
  • Accuracy Human-rider: 0.0
  • Accuracy Vehicle-car: 0.9452
  • Accuracy Vehicle-truck: 0.0
  • Accuracy Vehicle-bus: 0.0
  • Accuracy Vehicle-tramtrain: nan
  • Accuracy Vehicle-motorcycle: 0.0
  • Accuracy Vehicle-bicycle: 0.6017
  • Accuracy Vehicle-caravan: 0.0
  • Accuracy Vehicle-cartrailer: 0.0
  • Accuracy Construction-building: 0.8226
  • Accuracy Construction-door: 0.0
  • Accuracy Construction-wall: 0.5230
  • Accuracy Construction-fenceguardrail: 0.3548
  • Accuracy Construction-bridge: 0.0
  • Accuracy Construction-tunnel: nan
  • Accuracy Construction-stairs: 0.0
  • Accuracy Object-pole: 0.4428
  • Accuracy Object-trafficsign: 0.0
  • Accuracy Object-trafficlight: 0.0
  • Accuracy Nature-vegetation: 0.9102
  • Accuracy Nature-terrain: 0.8618
  • Accuracy Sky: 0.9672
  • Accuracy Void-ground: 0.0
  • Accuracy Void-dynamic: 0.0271
  • Accuracy Void-static: 0.3487
  • Accuracy Void-unclear: 0.0
  • Iou Unlabeled: nan
  • Iou Flat-road: 0.6174
  • Iou Flat-sidewalk: 0.8440
  • Iou Flat-crosswalk: 0.5049
  • Iou Flat-cyclinglane: 0.5664
  • Iou Flat-parkingdriveway: 0.2522
  • Iou Flat-railtrack: nan
  • Iou Flat-curb: 0.2854
  • Iou Human-person: 0.4224
  • Iou Human-rider: 0.0
  • Iou Vehicle-car: 0.7668
  • Iou Vehicle-truck: 0.0
  • Iou Vehicle-bus: 0.0
  • Iou Vehicle-tramtrain: nan
  • Iou Vehicle-motorcycle: 0.0
  • Iou Vehicle-bicycle: 0.3442
  • Iou Vehicle-caravan: 0.0
  • Iou Vehicle-cartrailer: 0.0
  • Iou Construction-building: 0.6692
  • Iou Construction-door: 0.0
  • Iou Construction-wall: 0.3465
  • Iou Construction-fenceguardrail: 0.2751
  • Iou Construction-bridge: 0.0
  • Iou Construction-tunnel: nan
  • Iou Construction-stairs: 0.0
  • Iou Object-pole: 0.2844
  • Iou Object-trafficsign: 0.0
  • Iou Object-trafficlight: 0.0
  • Iou Nature-vegetation: 0.8289
  • Iou Nature-terrain: 0.7310
  • Iou Sky: 0.9220
  • Iou Void-ground: 0.0
  • Iou Void-dynamic: 0.0257
  • Iou Void-static: 0.2604
  • 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: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
  • 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
2.5976 1.0 107 1.8167 0.1207 0.1734 0.6649 nan 0.7126 0.8829 0.0 0.0340 0.0059 nan 0.0000 0.0 0.0 0.7375 0.0 0.0 nan 0.0 0.0 0.0 0.0 0.8716 0.0 0.0 0.0 0.0 nan 0.0 0.0 0.0 0.0 0.8401 0.7639 0.5274 0.0 0.0 0.0 0.0 nan 0.4342 0.7303 0.0 0.0335 0.0058 nan 0.0000 0.0 0.0 0.5006 0.0 0.0 nan 0.0 0.0 0.0 0.0 0.4078 0.0 0.0 0.0 0.0 nan 0.0 0.0 0.0 0.0 0.6088 0.4971 0.5238 0.0 0.0 0.0 0.0
1.7804 2.0 214 1.5213 0.1383 0.1855 0.6885 nan 0.4849 0.9320 0.0 0.4088 0.0091 nan 0.0000 0.0 0.0 0.7975 0.0 0.0 nan 0.0 0.0 0.0 0.0 0.8645 0.0 0.0 0.0 0.0 nan 0.0 0.0 0.0 0.0 0.8760 0.7240 0.6529 0.0 0.0 0.0 0.0 nan 0.3862 0.7022 0.0 0.3873 0.0090 nan 0.0000 0.0 0.0 0.5313 0.0 0.0 nan 0.0 0.0 0.0 0.0 0.4432 0.0 0.0 0.0 0.0 nan 0.0 0.0 0.0 0.0 0.6380 0.5454 0.6448 0.0 0.0 0.0 0.0
1.4506 3.0 321 1.3304 0.1479 0.1988 0.7053 nan 0.5295 0.9284 0.0 0.5240 0.0117 nan 0.0010 0.0 0.0 0.8111 0.0 0.0 nan 0.0 0.0 0.0 0.0 0.8987 0.0 0.0 0.0 0.0 nan 0.0 0.0 0.0 0.0 0.8123 0.8090 0.8372 0.0 0.0 0.0 0.0 nan 0.4384 0.7208 0.0 0.4336 0.0116 nan 0.0010 0.0 0.0 0.5375 0.0 0.0 nan 0.0 0.0 0.0 0.0 0.4566 0.0 0.0 0.0 0.0 nan 0.0 0.0 0.0 0.0 0.6543 0.5342 0.7963 0.0 0.0 0.0 0.0
1.2854 4.0 428 1.1582 0.1502 0.2038 0.7119 nan 0.5613 0.9518 0.0 0.5963 0.0190 nan 0.0013 0.0 0.0 0.9129 0.0 0.0 nan 0.0 0.0 0.0 0.0 0.8395 0.0 0.0 0.0 0.0 nan 0.0 0.0 0.0 0.0 0.7245 0.8063 0.9043 0.0 0.0 0.0 0.0 nan 0.4473 0.7302 0.0 0.4682 0.0187 nan 0.0013 0.0 0.0 0.5643 0.0 0.0 nan 0.0 0.0 0.0 0.0 0.5325 0.0 0.0 0.0 0.0 nan 0.0 0.0 0.0 0.0 0.6076 0.4632 0.8239 0.0 0.0 0.0 0.0
1.1642 5.0 535 1.1097 0.1582 0.2158 0.7293 nan 0.6286 0.9087 0.0 0.7528 0.0587 nan 0.0063 0.0 0.0 0.9277 0.0 0.0 nan 0.0 0.0 0.0 0.0 0.8254 0.0 0.0 0.0 0.0 nan 0.0 0.0000 0.0 0.0 0.8157 0.8256 0.9404 0.0 0.0 0.0 0.0 nan 0.4666 0.7665 0.0 0.4925 0.0546 nan 0.0062 0.0 0.0 0.5415 0.0 0.0 nan 0.0 0.0 0.0 0.0 0.5305 0.0 0.0 0.0 0.0 nan 0.0 0.0000 0.0 0.0 0.6739 0.5518 0.8213 0.0 0.0 0.0 0.0
1.0799 6.0 642 1.0014 0.1630 0.2154 0.7393 nan 0.5980 0.9488 0.0 0.6784 0.0697 nan 0.0122 0.0 0.0 0.9414 0.0 0.0 nan 0.0 0.0 0.0 0.0 0.8431 0.0 0.0 0.0 0.0 nan 0.0 0.0008 0.0 0.0 0.8262 0.8225 0.9372 0.0 0.0 0.0 0.0 nan 0.4718 0.7595 0.0 0.5230 0.0649 nan 0.0117 0.0 0.0 0.5774 0.0 0.0 nan 0.0 0.0 0.0 0.0 0.5299 0.0 0.0 0.0 0.0 nan 0.0 0.0008 0.0 0.0 0.7045 0.5885 0.8205 0.0 0.0 0.0 0.0
1.0072 7.0 749 0.9490 0.1724 0.2253 0.7464 nan 0.6910 0.9306 0.0070 0.6716 0.1430 nan 0.2003 0.0 0.0 0.9354 0.0 0.0 nan 0.0 0.0 0.0 0.0 0.8738 0.0 0.0042 0.0 0.0 nan 0.0 0.0017 0.0 0.0 0.8074 0.8153 0.9013 0.0 0.0 0.0003 0.0 nan 0.5294 0.7917 0.0070 0.6067 0.1168 nan 0.1458 0.0 0.0 0.5637 0.0 0.0 nan 0.0 0.0 0.0 0.0 0.5090 0.0 0.0041 0.0 0.0 nan 0.0 0.0017 0.0 0.0 0.6821 0.5533 0.8340 0.0 0.0 0.0003 0.0
0.984 8.0 856 0.9205 0.1772 0.2278 0.7460 nan 0.6086 0.9221 0.1486 0.7371 0.1348 nan 0.1743 0.0 0.0 0.9382 0.0 0.0 nan 0.0 0.0 0.0 0.0 0.8566 0.0 0.0314 0.0 0.0 nan 0.0 0.0205 0.0 0.0 0.8991 0.6871 0.9047 0.0 0.0 0.0001 0.0 nan 0.4910 0.7736 0.1485 0.4415 0.1161 nan 0.1336 0.0 0.0 0.6013 0.0 0.0 nan 0.0 0.0 0.0 0.0 0.5408 0.0 0.0307 0.0 0.0 nan 0.0 0.0202 0.0 0.0 0.7323 0.6197 0.8432 0.0 0.0 0.0001 0.0
0.915 9.0 963 0.8332 0.2041 0.2582 0.7702 nan 0.7090 0.9415 0.5864 0.6835 0.1982 nan 0.3057 0.0 0.0 0.9341 0.0 0.0 nan 0.0 0.0 0.0 0.0 0.8404 0.0 0.1437 0.0 0.0 nan 0.0 0.0645 0.0 0.0 0.8329 0.8255 0.9328 0.0 0.0 0.0053 0.0 nan 0.5848 0.8019 0.4699 0.6121 0.1550 nan 0.1767 0.0 0.0 0.6370 0.0 0.0 nan 0.0 0.0 0.0 0.0 0.5652 0.0 0.1308 0.0 0.0 nan 0.0 0.0597 0.0 0.0 0.6993 0.5785 0.8524 0.0 0.0 0.0051 0.0
0.8824 10.0 1070 0.9102 0.1980 0.2624 0.7420 nan 0.8493 0.7731 0.7441 0.7581 0.1750 nan 0.2783 0.0 0.0 0.9236 0.0 0.0 nan 0.0 0.0 0.0 0.0 0.8843 0.0 0.0371 0.0 0.0 nan 0.0 0.1120 0.0 0.0 0.9100 0.7427 0.9336 0.0 0.0 0.0131 0.0 nan 0.5509 0.7306 0.5175 0.4615 0.1452 nan 0.1624 0.0 0.0 0.6323 0.0 0.0 nan 0.0 0.0 0.0 0.0 0.5406 0.0 0.0352 0.0 0.0 nan 0.0 0.0968 0.0 0.0 0.7475 0.6595 0.8444 0.0 0.0 0.0123 0.0
0.8133 11.0 1177 0.8147 0.2158 0.2729 0.7737 nan 0.6984 0.9167 0.6660 0.7662 0.2418 nan 0.3263 0.0308 0.0 0.9386 0.0 0.0 nan 0.0 0.0 0.0 0.0 0.8471 0.0 0.2570 0.0001 0.0 nan 0.0 0.1876 0.0 0.0 0.8677 0.7725 0.9201 0.0 0.0 0.0227 0.0 nan 0.5743 0.7964 0.5137 0.5765 0.1849 nan 0.1982 0.0299 0.0 0.6371 0.0 0.0 nan 0.0 0.0 0.0 0.0 0.5412 0.0 0.1887 0.0001 0.0 nan 0.0 0.1367 0.0 0.0 0.7657 0.6809 0.8434 0.0 0.0 0.0212 0.0
0.8029 12.0 1284 0.8597 0.2071 0.2775 0.7427 nan 0.4170 0.9044 0.7924 0.8064 0.3262 nan 0.3257 0.1800 0.0 0.9401 0.0 0.0 nan 0.0 0.0 0.0 0.0 0.8274 0.0 0.2257 0.0001 0.0 nan 0.0 0.1968 0.0 0.0 0.8370 0.8542 0.9124 0.0 0.0 0.0575 0.0 nan 0.3817 0.7994 0.4960 0.4040 0.2183 nan 0.1876 0.1545 0.0 0.6549 0.0 0.0 nan 0.0 0.0 0.0 0.0 0.5649 0.0 0.1804 0.0001 0.0 nan 0.0 0.1465 0.0 0.0 0.7280 0.5926 0.8639 0.0 0.0 0.0486 0.0
0.8166 13.0 1391 0.8034 0.2194 0.2775 0.7655 nan 0.5905 0.9075 0.6942 0.7621 0.2267 nan 0.2631 0.2544 0.0 0.9342 0.0 0.0 nan 0.0 0.0 0.0 0.0 0.8364 0.0 0.2578 0.0 0.0 nan 0.0 0.2317 0.0 0.0 0.9264 0.7529 0.9297 0.0 0.0 0.0362 0.0 nan 0.5142 0.7828 0.5555 0.4370 0.1793 nan 0.1845 0.2029 0.0 0.6656 0.0 0.0 nan 0.0 0.0 0.0 0.0 0.5759 0.0 0.2117 0.0 0.0 nan 0.0 0.1479 0.0 0.0 0.7646 0.6831 0.8628 0.0 0.0 0.0336 0.0
0.7582 14.0 1498 0.7747 0.2238 0.2900 0.7727 nan 0.6522 0.9323 0.7450 0.7468 0.2863 nan 0.3414 0.2355 0.0 0.8890 0.0 0.0 nan 0.0 0.0 0.0 0.0 0.8060 0.0 0.4223 0.0022 0.0 nan 0.0 0.2442 0.0 0.0 0.8169 0.8710 0.9435 0.0 0.0 0.0539 0.0 nan 0.5628 0.8109 0.5183 0.5597 0.2211 nan 0.2118 0.1857 0.0 0.6934 0.0 0.0 nan 0.0 0.0 0.0 0.0 0.5605 0.0 0.2575 0.0022 0.0 nan 0.0 0.1531 0.0 0.0 0.7164 0.5691 0.8665 0.0 0.0 0.0498 0.0
0.7669 15.0 1605 0.7869 0.2203 0.2861 0.7690 nan 0.5781 0.9404 0.7369 0.6943 0.2288 nan 0.3506 0.2633 0.0 0.9461 0.0 0.0 nan 0.0 0.0 0.0 0.0 0.7878 0.0 0.3742 0.0034 0.0 nan 0.0 0.3000 0.0 0.0 0.8762 0.8169 0.9231 0.0 0.0 0.0484 0.0 nan 0.5133 0.8055 0.4899 0.4820 0.1886 nan 0.1978 0.2088 0.0 0.6478 0.0 0.0 nan 0.0 0.0 0.0 0.0 0.5657 0.0 0.2425 0.0034 0.0 nan 0.0 0.1512 0.0 0.0 0.7638 0.6658 0.8597 0.0 0.0 0.0436 0.0
0.6652 16.0 1712 0.7644 0.2314 0.2962 0.7832 nan 0.6354 0.9192 0.8311 0.7933 0.2521 nan 0.3079 0.4108 0.0 0.8721 0.0 0.0 nan 0.0 0.0 0.0 0.0 0.8814 0.0 0.3337 0.0004 0.0 nan 0.0 0.2649 0.0 0.0 0.9223 0.7857 0.9252 0.0 0.0 0.0474 0.0 nan 0.5614 0.8214 0.5449 0.5722 0.2055 nan 0.1959 0.2604 0.0 0.6819 0.0 0.0 nan 0.0 0.0 0.0 0.0 0.5338 0.0 0.2333 0.0004 0.0 nan 0.0 0.1648 0.0 0.0 0.7777 0.7013 0.8747 0.0 0.0 0.0437 0.0
0.6706 17.0 1819 0.7996 0.2290 0.2982 0.7649 nan 0.5029 0.9083 0.7270 0.8303 0.2801 nan 0.2322 0.5548 0.0 0.9107 0.0 0.0 nan 0.0 0.0 0.0 0.0 0.8498 0.0 0.3778 0.0101 0.0 nan 0.0 0.2880 0.0 0.0 0.8799 0.8575 0.9585 0.0 0.0 0.0766 0.0 nan 0.4506 0.7961 0.5817 0.4110 0.2289 nan 0.1612 0.3049 0.0 0.7249 0.0 0.0 nan 0.0 0.0 0.0 0.0 0.5856 0.0 0.2506 0.0101 0.0 nan 0.0 0.1801 0.0 0.0 0.7806 0.6819 0.8821 0.0 0.0 0.0693 0.0
0.6466 18.0 1926 0.8046 0.2313 0.3064 0.7562 nan 0.4422 0.8782 0.8584 0.8431 0.3039 nan 0.2654 0.5326 0.0 0.9447 0.0 0.0 nan 0.0 0.0 0.0 0.0 0.8108 0.0 0.4841 0.0262 0.0 nan 0.0 0.2361 0.0 0.0 0.9130 0.8432 0.9411 0.0 0.0 0.1762 0.0 nan 0.4058 0.7978 0.5696 0.3526 0.2396 nan 0.1869 0.3165 0.0 0.6949 0.0 0.0 nan 0.0 0.0 0.0 0.0 0.5962 0.0 0.2776 0.0259 0.0 nan 0.0 0.1815 0.0 0.0 0.7897 0.7060 0.8873 0.0 0.0 0.1423 0.0
0.652 19.0 2033 0.8110 0.2281 0.3026 0.7623 nan 0.4601 0.9339 0.7580 0.7384 0.2594 nan 0.2439 0.6299 0.0 0.9147 0.0 0.0 nan 0.0 0.0 0.0 0.0 0.8059 0.0 0.5654 0.0161 0.0 nan 0.0 0.2749 0.0 0.0 0.8663 0.8739 0.9341 0.0 0.0 0.1054 0.0 nan 0.4140 0.7907 0.5175 0.4120 0.2180 nan 0.1772 0.3186 0.0 0.7379 0.0 0.0 nan 0.0 0.0 0.0 0.0 0.6110 0.0 0.3079 0.0161 0.0 nan 0.0 0.1810 0.0 0.0 0.7572 0.6320 0.8871 0.0 0.0 0.0937 0.0
0.6547 20.0 2140 0.7205 0.2457 0.3240 0.7885 nan 0.6505 0.9035 0.8563 0.7943 0.3934 nan 0.3291 0.6328 0.0 0.9440 0.0 0.0 nan 0.0 0.0 0.0 0.0 0.8135 0.0 0.3920 0.0793 0.0 nan 0.0 0.3951 0.0 0.0 0.9087 0.8299 0.9350 0.0 0.0 0.1874 0.0 nan 0.5700 0.8166 0.5098 0.4864 0.2733 nan 0.2266 0.3297 0.0 0.7049 0.0 0.0 nan 0.0 0.0 0.0 0.0 0.6299 0.0 0.2870 0.0758 0.0 nan 0.0 0.1770 0.0 0.0 0.7944 0.7015 0.8913 0.0 0.0 0.1436 0.0
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0.3677 85.0 9095 0.6633 0.2884 0.3690 0.8149 nan 0.6769 0.9353 0.7577 0.8210 0.3155 nan 0.3623 0.7319 0.0 0.9379 0.0 0.0 nan 0.0 0.5956 0.0 0.0 0.8065 0.0 0.5418 0.3730 0.0 nan 0.0 0.4405 0.0 0.0 0.9167 0.8607 0.9695 0.0 0.0367 0.3587 0.0 nan 0.5879 0.8384 0.5072 0.5248 0.2615 nan 0.2752 0.4397 0.0 0.7760 0.0 0.0 nan 0.0 0.3610 0.0 0.0 0.6687 0.0 0.3585 0.2823 0.0 nan 0.0 0.2897 0.0 0.0 0.8229 0.7226 0.9221 0.0 0.0344 0.2674 0.0
0.367 86.0 9202 0.6372 0.2907 0.3688 0.8210 nan 0.7232 0.9394 0.7501 0.7990 0.3061 nan 0.3935 0.7348 0.0 0.9403 0.0 0.0 nan 0.0 0.5879 0.0 0.0 0.8308 0.0 0.5010 0.3721 0.0 nan 0.0 0.4360 0.0 0.0 0.9168 0.8514 0.9648 0.0 0.0355 0.3496 0.0 nan 0.6224 0.8421 0.5220 0.5627 0.2552 nan 0.2826 0.4371 0.0 0.7691 0.0 0.0 nan 0.0 0.3584 0.0 0.0 0.6679 0.0 0.3430 0.2828 0.0 nan 0.0 0.2874 0.0 0.0 0.8289 0.7338 0.9221 0.0 0.0333 0.2610 0.0
0.3734 87.0 9309 0.6538 0.2881 0.3700 0.8167 nan 0.6983 0.9269 0.7606 0.8424 0.2978 nan 0.3835 0.7200 0.0 0.9319 0.0 0.0 nan 0.0 0.6134 0.0 0.0 0.8043 0.0 0.5449 0.3589 0.0 nan 0.0 0.4461 0.0 0.0 0.9303 0.8592 0.9686 0.0 0.0279 0.3541 0.0 nan 0.5999 0.8406 0.4925 0.5384 0.2517 nan 0.2822 0.4360 0.0 0.7801 0.0 0.0 nan 0.0 0.3487 0.0 0.0 0.6670 0.0 0.3561 0.2750 0.0 nan 0.0 0.2874 0.0 0.0 0.8269 0.7385 0.9218 0.0 0.0265 0.2623 0.0
0.3797 88.0 9416 0.6392 0.2890 0.3680 0.8199 nan 0.7156 0.9303 0.7574 0.8350 0.2962 nan 0.3755 0.6916 0.0 0.9327 0.0 0.0 nan 0.0 0.6016 0.0 0.0 0.8332 0.0 0.5229 0.3706 0.0 nan 0.0 0.4300 0.0 0.0 0.9256 0.8609 0.9661 0.0 0.0317 0.3311 0.0 nan 0.6087 0.8444 0.4905 0.5576 0.2512 nan 0.2794 0.4313 0.0 0.7791 0.0 0.0 nan 0.0 0.3525 0.0 0.0 0.6693 0.0 0.3464 0.2822 0.0 nan 0.0 0.2894 0.0 0.0 0.8312 0.7417 0.9224 0.0 0.0296 0.2515 0.0
0.3523 89.0 9523 0.6469 0.2897 0.3722 0.8184 nan 0.7119 0.9295 0.7567 0.8261 0.2994 nan 0.4019 0.7163 0.0 0.9297 0.0 0.0 nan 0.0 0.6151 0.0 0.0 0.8100 0.0 0.5601 0.3879 0.0 nan 0.0 0.4416 0.0 0.0 0.9203 0.8690 0.9635 0.0 0.0294 0.3684 0.0 nan 0.6092 0.8420 0.4933 0.5567 0.2535 nan 0.2870 0.4330 0.0 0.7788 0.0 0.0 nan 0.0 0.3519 0.0 0.0 0.6688 0.0 0.3612 0.2803 0.0 nan 0.0 0.2923 0.0 0.0 0.8258 0.7304 0.9239 0.0 0.0275 0.2654 0.0
0.3429 90.0 9630 0.6468 0.2901 0.3704 0.8205 nan 0.7147 0.9285 0.7542 0.8221 0.3092 nan 0.4025 0.7163 0.0 0.9350 0.0 0.0 nan 0.0 0.6058 0.0 0.0 0.8212 0.0 0.5217 0.3724 0.0 nan 0.0 0.4352 0.0 0.0 0.9360 0.8676 0.9629 0.0 0.0307 0.3475 0.0 nan 0.6147 0.8444 0.5084 0.5590 0.2577 nan 0.2873 0.4320 0.0 0.7710 0.0 0.0 nan 0.0 0.3492 0.0 0.0 0.6660 0.0 0.3474 0.2753 0.0 nan 0.0 0.2899 0.0 0.0 0.8323 0.7498 0.9232 0.0 0.0286 0.2584 0.0
0.3451 91.0 9737 0.6492 0.2896 0.3704 0.8192 nan 0.7044 0.9406 0.7545 0.8163 0.3028 nan 0.3806 0.7114 0.0 0.9401 0.0 0.0 nan 0.0 0.6080 0.0 0.0 0.8004 0.0 0.5398 0.3826 0.0 nan 0.0 0.4569 0.0 0.0 0.9192 0.8498 0.9683 0.0 0.0307 0.3752 0.0 nan 0.6068 0.8430 0.5136 0.5503 0.2537 nan 0.2804 0.4304 0.0 0.7727 0.0 0.0 nan 0.0 0.3453 0.0 0.0 0.6691 0.0 0.3585 0.2814 0.0 nan 0.0 0.2878 0.0 0.0 0.8300 0.7354 0.9227 0.0 0.0290 0.2686 0.0
0.3414 92.0 9844 0.6469 0.2899 0.3693 0.8197 nan 0.7151 0.9353 0.7561 0.8221 0.3113 nan 0.4008 0.6918 0.0 0.9382 0.0 0.0 nan 0.0 0.6002 0.0 0.0 0.8142 0.0 0.5216 0.3795 0.0 nan 0.0 0.4441 0.0 0.0 0.9201 0.8487 0.9681 0.0 0.0308 0.3497 0.0 nan 0.6108 0.8425 0.5082 0.5564 0.2581 nan 0.2868 0.4276 0.0 0.7752 0.0 0.0 nan 0.0 0.3509 0.0 0.0 0.6695 0.0 0.3499 0.2835 0.0 nan 0.0 0.2881 0.0 0.0 0.8308 0.7369 0.9221 0.0 0.0291 0.2613 0.0
0.3313 93.0 9951 0.6325 0.2907 0.3695 0.8223 nan 0.7376 0.9340 0.7604 0.8078 0.2869 nan 0.4028 0.6909 0.0 0.9377 0.0 0.0 nan 0.0 0.5972 0.0 0.0 0.8203 0.0 0.5104 0.3932 0.0 nan 0.0 0.4384 0.0 0.0 0.9290 0.8579 0.9618 0.0 0.0288 0.3603 0.0 nan 0.6219 0.8456 0.5104 0.5710 0.2444 nan 0.2881 0.4244 0.0 0.7735 0.0 0.0 nan 0.0 0.3474 0.0 0.0 0.6687 0.0 0.3457 0.2859 0.0 nan 0.0 0.2898 0.0 0.0 0.8328 0.7464 0.9233 0.0 0.0272 0.2651 0.0
0.3479 93.4579 10000 0.6392 0.2886 0.3681 0.8204 nan 0.7238 0.9385 0.7581 0.8054 0.3003 nan 0.3967 0.6829 0.0 0.9452 0.0 0.0 nan 0.0 0.6017 0.0 0.0 0.8226 0.0 0.5230 0.3548 0.0 nan 0.0 0.4428 0.0 0.0 0.9102 0.8618 0.9672 0.0 0.0271 0.3487 0.0 nan 0.6174 0.8440 0.5049 0.5664 0.2522 nan 0.2854 0.4224 0.0 0.7668 0.0 0.0 nan 0.0 0.3442 0.0 0.0 0.6692 0.0 0.3465 0.2751 0.0 nan 0.0 0.2844 0.0 0.0 0.8289 0.7310 0.9220 0.0 0.0257 0.2604 0.0

Framework versions

  • Transformers 4.46.0.dev0
  • Pytorch 2.4.1+cu118
  • Datasets 3.0.1
  • Tokenizers 0.20.0