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metadata
license: other
base_model: nvidia/mit-b0
tags:
  - 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 an unknown dataset. It achieves the following results on the evaluation set:

  • Loss: 0.6267
  • Mean Iou: 0.2855
  • Mean Accuracy: 0.3608
  • Overall Accuracy: 0.8189
  • Accuracy Unlabeled: nan
  • Accuracy Flat-road: 0.7510
  • Accuracy Flat-sidewalk: 0.9361
  • Accuracy Flat-crosswalk: 0.6440
  • Accuracy Flat-cyclinglane: 0.7003
  • Accuracy Flat-parkingdriveway: 0.3059
  • Accuracy Flat-railtrack: nan
  • Accuracy Flat-curb: 0.4518
  • Accuracy Human-person: 0.7586
  • Accuracy Human-rider: 0.0
  • Accuracy Vehicle-car: 0.9322
  • Accuracy Vehicle-truck: 0.0
  • Accuracy Vehicle-bus: 0.0
  • Accuracy Vehicle-tramtrain: 0.0
  • Accuracy Vehicle-motorcycle: 0.0
  • Accuracy Vehicle-bicycle: 0.7863
  • Accuracy Vehicle-caravan: 0.0
  • Accuracy Vehicle-cartrailer: 0.0
  • Accuracy Construction-building: 0.8893
  • Accuracy Construction-door: 0.0
  • Accuracy Construction-wall: 0.3358
  • Accuracy Construction-fenceguardrail: 0.5576
  • Accuracy Construction-bridge: 0.0
  • Accuracy Construction-tunnel: nan
  • Accuracy Construction-stairs: 0.0
  • Accuracy Object-pole: 0.4869
  • Accuracy Object-trafficsign: 0.0
  • Accuracy Object-trafficlight: 0.0
  • Accuracy Nature-vegetation: 0.9045
  • Accuracy Nature-terrain: 0.8814
  • Accuracy Sky: 0.9529
  • Accuracy Void-ground: 0.0
  • Accuracy Void-dynamic: 0.0090
  • Accuracy Void-static: 0.2624
  • Accuracy Void-unclear: 0.0
  • Iou Unlabeled: nan
  • Iou Flat-road: 0.6541
  • Iou Flat-sidewalk: 0.8293
  • Iou Flat-crosswalk: 0.4454
  • Iou Flat-cyclinglane: 0.5428
  • Iou Flat-parkingdriveway: 0.2643
  • Iou Flat-railtrack: nan
  • Iou Flat-curb: 0.3338
  • Iou Human-person: 0.5352
  • Iou Human-rider: 0.0
  • Iou Vehicle-car: 0.7833
  • Iou Vehicle-truck: 0.0
  • Iou Vehicle-bus: 0.0
  • Iou Vehicle-tramtrain: 0.0
  • Iou Vehicle-motorcycle: 0.0
  • Iou Vehicle-bicycle: 0.5114
  • Iou Vehicle-caravan: 0.0
  • Iou Vehicle-cartrailer: 0.0
  • Iou Construction-building: 0.6967
  • Iou Construction-door: 0.0
  • Iou Construction-wall: 0.2072
  • Iou Construction-fenceguardrail: 0.3647
  • Iou Construction-bridge: 0.0
  • Iou Construction-tunnel: nan
  • Iou Construction-stairs: 0.0
  • Iou Object-pole: 0.3169
  • Iou Object-trafficsign: 0.0
  • Iou Object-trafficlight: 0.0
  • Iou Nature-vegetation: 0.8200
  • Iou Nature-terrain: 0.7329
  • Iou Sky: 0.9120
  • Iou Void-ground: 0.0
  • Iou Void-dynamic: 0.0088
  • Iou Void-static: 0.1778
  • 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
2.6565 1.0 107 1.9726 0.1037 0.1614 0.6529 nan 0.6720 0.8392 0.0010 0.1613 0.0264 nan 0.0001 0.0 0.0 0.8406 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.7975 0.0 0.0 0.0 0.0 nan 0.0 0.0 0.0 0.0 0.8947 0.8404 0.0920 0.0 0.0 0.0 0.0 nan 0.4588 0.6841 0.0010 0.1605 0.0242 0.0 0.0001 0.0 0.0 0.5002 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.4385 0.0 0.0 0.0 0.0 nan 0.0 0.0 0.0 0.0 0.5740 0.4904 0.0918 0.0 0.0 0.0 0.0
1.8153 2.0 214 1.4898 0.1361 0.1884 0.6931 nan 0.7586 0.8437 0.0 0.3100 0.0063 nan 0.0 0.0 0.0 0.8490 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.8270 0.0 0.0 0.0 0.0 nan 0.0 0.0 0.0 0.0 0.8408 0.8548 0.7401 0.0 0.0 0.0 0.0 nan 0.4512 0.7037 0.0 0.3052 0.0063 nan 0.0 0.0 0.0 0.5324 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.4838 0.0 0.0 0.0 0.0 nan 0.0 0.0 0.0 0.0 0.6604 0.4988 0.7126 0.0 0.0 0.0 0.0
1.5059 3.0 321 1.2858 0.1457 0.1967 0.7171 nan 0.7839 0.8792 0.0 0.4839 0.0097 nan 0.0 0.0 0.0 0.8255 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.8119 0.0 0.0 0.0 0.0 nan 0.0 0.0 0.0 0.0 0.8309 0.8748 0.7939 0.0 0.0 0.0 0.0 nan 0.5118 0.7385 0.0 0.4461 0.0097 nan 0.0 0.0 0.0 0.5996 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.5222 0.0 0.0 0.0 0.0 nan 0.0 0.0 0.0 0.0 0.6201 0.4480 0.7671 0.0 0.0 0.0 0.0
1.2974 4.0 428 1.2931 0.1437 0.1940 0.6947 nan 0.6819 0.8213 0.0 0.5193 0.0394 nan 0.0 0.0 0.0 0.7091 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.9107 0.0 0.0 0.0 0.0 nan 0.0 0.0 0.0 0.0 0.8477 0.8799 0.7999 0.0 0.0 0.0 0.0 nan 0.4326 0.7226 0.0 0.4755 0.0373 nan 0.0 0.0 0.0 0.5591 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.4222 0.0 0.0 0.0 0.0 nan 0.0 0.0 0.0 0.0 0.6693 0.5089 0.7720 0.0 0.0 0.0 0.0
1.2082 5.0 535 1.1346 0.1541 0.2092 0.7217 nan 0.8383 0.8276 0.0 0.6249 0.0810 nan 0.0 0.0 0.0 0.8637 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.9251 0.0 0.0 0.0 0.0 nan 0.0 0.0 0.0 0.0 0.7639 0.9019 0.8666 0.0 0.0 0.0 0.0 nan 0.4988 0.7480 0.0 0.5462 0.0750 nan 0.0 0.0 0.0 0.6017 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.4893 0.0 0.0 0.0 0.0 nan 0.0 0.0 0.0 0.0 0.6780 0.4877 0.8051 0.0 0.0 0.0 0.0
1.0533 6.0 642 1.0493 0.1588 0.2104 0.7364 nan 0.7557 0.8698 0.0034 0.5758 0.1782 nan 0.0001 0.0 0.0 0.9004 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.8887 0.0 0.0003 0.0 0.0 nan 0.0 0.0 0.0 0.0 0.8619 0.8777 0.8223 0.0 0.0 0.0 0.0 nan 0.5271 0.7548 0.0034 0.4873 0.1339 nan 0.0001 0.0 0.0 0.6049 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.5200 0.0 0.0003 0.0 0.0 nan 0.0 0.0 0.0 0.0 0.7061 0.5542 0.7894 0.0 0.0 0.0 0.0
0.9787 7.0 749 0.9818 0.1625 0.2104 0.7431 nan 0.7674 0.8723 0.0007 0.5668 0.1591 nan 0.0027 0.0 0.0 0.9175 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.9096 0.0 0.0068 0.0 0.0 nan 0.0 0.0005 0.0 0.0 0.8944 0.8149 0.8193 0.0 0.0 0.0 0.0 nan 0.5231 0.7581 0.0007 0.4962 0.1322 nan 0.0027 0.0 0.0 0.5879 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.5134 0.0 0.0067 0.0 0.0 nan 0.0 0.0005 0.0 0.0 0.7477 0.6447 0.7864 0.0 0.0 0.0 0.0
0.9352 8.0 856 0.9447 0.1729 0.2289 0.7449 nan 0.7767 0.8766 0.3888 0.6856 0.1735 nan 0.0174 0.0 0.0 0.9184 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.9181 0.0 0.0220 0.0 0.0 nan 0.0 0.0237 0.0 0.0 0.7814 0.9052 0.8373 0.0 0.0 0.0 0.0 nan 0.5563 0.7702 0.3059 0.5643 0.1403 nan 0.0172 0.0 0.0 0.6258 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.5390 0.0 0.0205 0.0 0.0 nan 0.0 0.0235 0.0 0.0 0.6788 0.4875 0.8045 0.0 0.0 0.0 0.0
0.8813 9.0 963 0.8816 0.1841 0.2354 0.7557 nan 0.7836 0.8684 0.5346 0.6656 0.1494 nan 0.0815 0.0098 0.0 0.8208 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.9027 0.0 0.0444 0.0 0.0 nan 0.0 0.0707 0.0 0.0 0.9172 0.8231 0.8615 0.0 0.0 0.0 0.0 nan 0.5382 0.7637 0.3656 0.5123 0.1303 nan 0.0737 0.0096 0.0 0.6651 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.5668 0.0 0.0415 0.0 0.0 nan 0.0 0.0685 0.0 0.0 0.7318 0.6133 0.8106 0.0 0.0 0.0 0.0
0.8472 10.0 1070 0.8800 0.1934 0.2552 0.7592 nan 0.7736 0.8817 0.5907 0.6663 0.2215 nan 0.1311 0.0857 0.0 0.9459 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.7958 0.0 0.2135 0.0 0.0 nan 0.0 0.1806 0.0 0.0 0.8565 0.8969 0.9238 0.0 0.0 0.0035 0.0 nan 0.5794 0.7747 0.3492 0.5270 0.1677 nan 0.1112 0.0819 0.0 0.5893 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.5868 0.0 0.1541 0.0 0.0 nan 0.0 0.1398 0.0 0.0 0.7238 0.5577 0.8435 0.0 0.0 0.0035 0.0
0.8106 11.0 1177 0.8711 0.1931 0.2510 0.7597 nan 0.7409 0.8650 0.6559 0.6675 0.1933 nan 0.1820 0.0082 0.0 0.9197 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.8961 0.0 0.1263 0.0 0.0 nan 0.0 0.1567 0.0 0.0 0.9050 0.8293 0.8818 0.0 0.0 0.0031 0.0 nan 0.5669 0.7643 0.3313 0.5231 0.1613 nan 0.1481 0.0082 0.0 0.6347 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.5524 0.0 0.0953 0.0 0.0 nan 0.0 0.1392 0.0 0.0 0.7539 0.6577 0.8412 0.0 0.0 0.0031 0.0
0.7419 12.0 1284 0.8464 0.2017 0.2564 0.7651 nan 0.6572 0.9225 0.5583 0.6230 0.2109 nan 0.2201 0.1244 0.0 0.8896 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.9082 0.0 0.2287 0.0 0.0 nan 0.0 0.2081 0.0 0.0 0.8402 0.8802 0.9141 0.0 0.0 0.0204 0.0 nan 0.5394 0.7789 0.3939 0.4993 0.1772 nan 0.1740 0.1162 0.0 0.6718 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.5947 0.0 0.1544 0.0 0.0 nan 0.0 0.1704 0.0 0.0 0.7338 0.5749 0.8557 0.0 0.0 0.0200 0.0
0.7609 13.0 1391 0.7896 0.2080 0.2621 0.7745 nan 0.8081 0.8748 0.5618 0.7294 0.2595 nan 0.1835 0.2091 0.0 0.8740 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.8639 0.0 0.2723 0.0 0.0 nan 0.0 0.1908 0.0 0.0 0.9278 0.7065 0.9148 0.0 0.0 0.0120 0.0 nan 0.5826 0.7957 0.3625 0.5396 0.2070 nan 0.1550 0.1913 0.0 0.6712 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.5903 0.0 0.1742 0.0 0.0 nan 0.0 0.1445 0.0 0.0 0.7560 0.6142 0.8606 0.0 0.0 0.0117 0.0
0.7455 14.0 1498 0.8565 0.2092 0.2710 0.7539 nan 0.7359 0.8144 0.5236 0.8098 0.2290 nan 0.1934 0.3450 0.0 0.9383 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.8564 0.0 0.2225 0.0019 0.0 nan 0.0 0.2513 0.0 0.0 0.9055 0.8487 0.9280 0.0 0.0 0.0673 0.0 nan 0.5589 0.7489 0.3830 0.3913 0.1841 nan 0.1549 0.2969 0.0 0.6264 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.6308 0.0 0.1726 0.0019 0.0 nan 0.0 0.1872 0.0 0.0 0.7714 0.6690 0.8581 0.0 0.0 0.0586 0.0
0.6881 15.0 1605 0.7964 0.2184 0.2756 0.7782 nan 0.6901 0.9374 0.5507 0.5358 0.2541 nan 0.2979 0.4436 0.0 0.9256 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.8287 0.0 0.3191 0.0033 0.0 nan 0.0 0.3035 0.0 0.0 0.9143 0.8288 0.8749 0.0 0.0 0.1109 0.0 nan 0.5951 0.7873 0.3985 0.4672 0.2015 nan 0.2078 0.2857 0.0 0.6740 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.6175 0.0 0.1864 0.0033 0.0 nan 0.0 0.2011 0.0 0.0 0.7731 0.6630 0.8380 0.0 0.0 0.0885 0.0
0.6765 16.0 1712 0.7522 0.2181 0.2795 0.7840 nan 0.7619 0.8998 0.5566 0.7439 0.2253 nan 0.2521 0.3746 0.0 0.9103 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.8966 0.0 0.2551 0.0040 0.0 nan 0.0 0.3282 0.0 0.0 0.8728 0.8767 0.9049 0.0 0.0 0.0815 0.0 nan 0.5992 0.8004 0.3390 0.5335 0.1895 nan 0.1969 0.2743 0.0 0.6739 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.6382 0.0 0.1860 0.0040 0.0 nan 0.0 0.2014 0.0 0.0 0.7725 0.6415 0.8593 0.0 0.0 0.0690 0.0
0.6916 17.0 1819 0.7345 0.2233 0.2789 0.7894 nan 0.7144 0.9387 0.5975 0.6124 0.2644 nan 0.3264 0.4727 0.0 0.9130 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.9197 0.0 0.2264 0.0012 0.0 nan 0.0 0.2726 0.0 0.0 0.9054 0.7551 0.8723 0.0 0.0 0.1324 0.0 nan 0.6024 0.8068 0.3650 0.4937 0.2143 nan 0.2435 0.3370 0.0 0.6874 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.6320 0.0 0.1790 0.0012 0.0 nan 0.0 0.2202 0.0 0.0 0.7786 0.6333 0.8384 0.0 0.0 0.1116 0.0
0.6542 18.0 1926 0.7572 0.2222 0.2805 0.7793 nan 0.6840 0.9287 0.5996 0.6111 0.3493 nan 0.3201 0.4330 0.0 0.9027 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.8497 0.0 0.3213 0.0173 0.0 nan 0.0 0.2688 0.0 0.0 0.8923 0.8411 0.8652 0.0 0.0 0.0931 0.0 nan 0.5922 0.7996 0.3689 0.5211 0.2366 nan 0.2485 0.3077 0.0 0.6811 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.5867 0.0 0.1595 0.0170 0.0 nan 0.0 0.2212 0.0 0.0 0.7806 0.6825 0.8294 0.0 0.0 0.0783 0.0
0.6571 19.0 2033 0.7364 0.2276 0.2821 0.7931 nan 0.7202 0.9209 0.5112 0.7723 0.2259 nan 0.2124 0.5086 0.0 0.9093 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.9083 0.0 0.2459 0.0447 0.0 nan 0.0 0.3190 0.0 0.0 0.9200 0.7827 0.9195 0.0 0.0 0.1057 0.0 nan 0.6192 0.8032 0.4262 0.5132 0.1920 nan 0.1823 0.3263 0.0 0.7148 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.6473 0.0 0.1863 0.0437 0.0 nan 0.0 0.2313 0.0 0.0 0.7807 0.6546 0.8716 0.0 0.0 0.0893 0.0
0.6384 20.0 2140 0.7340 0.2311 0.2918 0.7859 nan 0.8182 0.8822 0.5820 0.6575 0.2474 nan 0.3236 0.6807 0.0 0.8965 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.8849 0.0 0.1962 0.0414 0.0 nan 0.0 0.3208 0.0 0.0 0.9131 0.8467 0.9268 0.0 0.0 0.1188 0.0 nan 0.5750 0.7900 0.5335 0.5179 0.2066 nan 0.2405 0.2993 0.0 0.7333 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.6475 0.0 0.1568 0.0407 0.0 nan 0.0 0.2355 0.0 0.0 0.7709 0.6815 0.8693 0.0 0.0 0.0981 0.0
0.6252 21.0 2247 0.7321 0.2284 0.3033 0.7796 nan 0.7969 0.8769 0.6121 0.6934 0.2266 nan 0.3499 0.6939 0.0 0.9128 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.8263 0.0 0.2778 0.1258 0.0 nan 0.0 0.4050 0.0 0.0 0.8686 0.9227 0.9405 0.0 0.0 0.1771 0.0 nan 0.5816 0.8003 0.3747 0.5367 0.1801 nan 0.2492 0.3315 0.0 0.7049 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.6456 0.0 0.1814 0.1131 0.0 nan 0.0 0.2651 0.0 0.0 0.7556 0.5921 0.8754 0.0 0.0 0.1212 0.0
0.6698 22.0 2354 0.7266 0.2280 0.2938 0.7872 nan 0.6951 0.9186 0.6639 0.6492 0.3218 nan 0.3004 0.4743 0.0 0.9031 0.0 0.0 0.0 0.0 0.0001 0.0 0.0 0.8912 0.0 0.2718 0.1502 0.0 nan 0.0 0.3409 0.0 0.0 0.8911 0.8959 0.9252 0.0 0.0 0.1087 0.0 nan 0.5859 0.8034 0.3261 0.5312 0.2352 nan 0.2150 0.2980 0.0 0.6981 0.0 0.0 0.0 0.0 0.0001 0.0 0.0 0.6475 0.0 0.2023 0.1340 0.0 nan 0.0 0.2464 0.0 0.0 0.7695 0.6442 0.8737 0.0 0.0 0.0865 0.0
0.6429 23.0 2461 0.6875 0.2346 0.2937 0.7987 nan 0.8067 0.9012 0.6158 0.7275 0.1766 nan 0.3461 0.5425 0.0 0.8848 0.0 0.0 0.0 0.0 0.0373 0.0 0.0 0.9294 0.0 0.2604 0.0817 0.0 nan 0.0 0.3580 0.0 0.0 0.9204 0.8040 0.9378 0.0 0.0 0.0688 0.0 nan 0.6136 0.8213 0.4622 0.5838 0.1559 nan 0.2457 0.2747 0.0 0.7229 0.0 0.0 0.0 0.0 0.0372 0.0 0.0 0.6194 0.0 0.1961 0.0780 0.0 nan 0.0 0.2476 0.0 0.0 0.7948 0.7080 0.8849 0.0 0.0 0.0594 0.0
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0.3347 84.0 8988 0.6548 0.2815 0.3589 0.8110 nan 0.7138 0.9233 0.6412 0.7845 0.2637 nan 0.4296 0.7690 0.0 0.9371 0.0 0.0 0.0 0.0 0.7731 0.0 0.0 0.8771 0.0 0.3372 0.5259 0.0 nan 0.0 0.5035 0.0 0.0 0.8928 0.8889 0.9573 0.0 0.0208 0.2466 0.0 nan 0.6405 0.8206 0.4426 0.5254 0.2358 nan 0.3143 0.5277 0.0 0.7681 0.0 0.0 0.0 0.0 0.5186 0.0 0.0 0.6872 0.0 0.2022 0.3814 0.0 nan 0.0 0.3074 0.0 0.0 0.8147 0.7230 0.9114 0.0 0.0200 0.1680 0.0
0.343 85.0 9095 0.6512 0.2820 0.3579 0.8146 nan 0.7318 0.9266 0.6523 0.7341 0.2961 nan 0.4218 0.7599 0.0 0.9299 0.0 0.0 0.0 0.0 0.7684 0.0 0.0 0.9000 0.0 0.3321 0.5410 0.0 nan 0.0 0.4639 0.0 0.0 0.9014 0.8948 0.9544 0.0 0.0112 0.2317 0.0 nan 0.6402 0.8228 0.4337 0.5489 0.2577 nan 0.3165 0.5199 0.0 0.7767 0.0 0.0 0.0 0.0 0.5144 0.0 0.0 0.6868 0.0 0.2044 0.3643 0.0 nan 0.0 0.3098 0.0 0.0 0.8182 0.7264 0.9096 0.0 0.0109 0.1623 0.0
0.3491 86.0 9202 0.6360 0.2846 0.3585 0.8189 nan 0.7528 0.9337 0.6396 0.7287 0.3027 nan 0.4140 0.7555 0.0 0.9356 0.0 0.0 0.0 0.0 0.7745 0.0 0.0 0.8978 0.0 0.3165 0.5406 0.0 nan 0.0 0.4757 0.0 0.0 0.9025 0.8840 0.9531 0.0 0.0132 0.2505 0.0 nan 0.6567 0.8283 0.4576 0.5492 0.2615 nan 0.3198 0.5286 0.0 0.7759 0.0 0.0 0.0 0.0 0.5150 0.0 0.0 0.6961 0.0 0.2053 0.3614 0.0 nan 0.0 0.3117 0.0 0.0 0.8178 0.7255 0.9105 0.0 0.0128 0.1739 0.0
0.3543 87.0 9309 0.6400 0.2840 0.3580 0.8177 nan 0.7426 0.9346 0.6518 0.7288 0.2801 nan 0.4252 0.7493 0.0 0.9356 0.0 0.0 0.0 0.0 0.7933 0.0 0.0 0.8922 0.0 0.3321 0.5185 0.0 nan 0.0 0.4816 0.0 0.0 0.9068 0.8749 0.9504 0.0 0.0176 0.2413 0.0 nan 0.6514 0.8257 0.4417 0.5570 0.2486 nan 0.3246 0.5325 0.0 0.7751 0.0 0.0 0.0 0.0 0.5081 0.0 0.0 0.6904 0.0 0.2008 0.3660 0.0 nan 0.0 0.3104 0.0 0.0 0.8219 0.7378 0.9117 0.0 0.0168 0.1658 0.0
0.3517 88.0 9416 0.6408 0.2834 0.3579 0.8164 nan 0.7210 0.9295 0.6531 0.7404 0.3177 nan 0.4426 0.7315 0.0 0.9381 0.0 0.0 0.0 0.0 0.7708 0.0 0.0 0.8938 0.0 0.3258 0.5214 0.0 nan 0.0 0.4812 0.0 0.0 0.9117 0.8870 0.9530 0.0 0.0076 0.2278 0.0 nan 0.6459 0.8259 0.4330 0.5467 0.2704 nan 0.3223 0.5373 0.0 0.7734 0.0 0.0 0.0 0.0 0.5221 0.0 0.0 0.6938 0.0 0.2032 0.3578 0.0 nan 0.0 0.3099 0.0 0.0 0.8175 0.7274 0.9125 0.0 0.0074 0.1628 0.0
0.3372 89.0 9523 0.6165 0.2854 0.3598 0.8186 nan 0.7532 0.9271 0.6384 0.7414 0.3066 nan 0.4518 0.7563 0.0 0.9323 0.0 0.0 0.0 0.0 0.7705 0.0 0.0 0.8836 0.0 0.3218 0.5305 0.0 nan 0.0 0.4758 0.0 0.0 0.9133 0.8882 0.9531 0.0 0.0088 0.2612 0.0 nan 0.6539 0.8250 0.4450 0.5501 0.2665 nan 0.3318 0.5270 0.0 0.7865 0.0 0.0 0.0 0.0 0.5184 0.0 0.0 0.7017 0.0 0.2097 0.3672 0.0 nan 0.0 0.3099 0.0 0.0 0.8162 0.7256 0.9123 0.0 0.0086 0.1784 0.0
0.3377 90.0 9630 0.6244 0.2852 0.3611 0.8179 nan 0.7639 0.9221 0.6360 0.7332 0.3117 nan 0.4464 0.7568 0.0 0.9394 0.0 0.0 0.0 0.0 0.7702 0.0 0.0 0.8853 0.0 0.3414 0.5549 0.0 nan 0.0 0.4833 0.0 0.0 0.9074 0.8933 0.9523 0.0 0.0062 0.2522 0.0 nan 0.6583 0.8287 0.4461 0.5503 0.2653 nan 0.3330 0.5336 0.0 0.7757 0.0 0.0 0.0 0.0 0.5172 0.0 0.0 0.6927 0.0 0.2040 0.3673 0.0 nan 0.0 0.3135 0.0 0.0 0.8190 0.7294 0.9117 0.0 0.0060 0.1756 0.0
0.3432 91.0 9737 0.6332 0.2837 0.3596 0.8180 nan 0.7378 0.9360 0.6523 0.7098 0.3020 nan 0.4454 0.7546 0.0 0.9396 0.0 0.0 0.0 0.0 0.7880 0.0 0.0 0.8837 0.0 0.3413 0.5533 0.0 nan 0.0 0.4643 0.0 0.0 0.9080 0.8944 0.9536 0.0 0.0074 0.2363 0.0 nan 0.6516 0.8291 0.4313 0.5422 0.2632 nan 0.3297 0.5350 0.0 0.7748 0.0 0.0 0.0 0.0 0.5117 0.0 0.0 0.6955 0.0 0.2090 0.3656 0.0 nan 0.0 0.3101 0.0 0.0 0.8175 0.7242 0.9122 0.0 0.0072 0.1687 0.0
0.337 92.0 9844 0.6341 0.2830 0.3565 0.8183 nan 0.7616 0.9287 0.6382 0.7128 0.2674 nan 0.4361 0.7550 0.0 0.9389 0.0 0.0 0.0 0.0 0.7722 0.0 0.0 0.9003 0.0 0.3263 0.5278 0.0 nan 0.0 0.4556 0.0 0.0 0.9130 0.8860 0.9505 0.0 0.0070 0.2292 0.0 nan 0.6539 0.8300 0.4397 0.5390 0.2398 nan 0.3276 0.5330 0.0 0.7697 0.0 0.0 0.0 0.0 0.5161 0.0 0.0 0.6930 0.0 0.2080 0.3623 0.0 nan 0.0 0.3110 0.0 0.0 0.8187 0.7310 0.9119 0.0 0.0069 0.1656 0.0
0.3673 93.0 9951 0.6337 0.2848 0.3568 0.8190 nan 0.7497 0.9381 0.6461 0.6732 0.3169 nan 0.4581 0.7530 0.0 0.9366 0.0 0.0 0.0 0.0 0.7756 0.0 0.0 0.8897 0.0 0.3377 0.4911 0.0 nan 0.0 0.4674 0.0 0.0 0.9142 0.8841 0.9540 0.0 0.0061 0.2254 0.0 nan 0.6552 0.8285 0.4526 0.5356 0.2697 nan 0.3357 0.5390 0.0 0.7769 0.0 0.0 0.0 0.0 0.5155 0.0 0.0 0.6953 0.0 0.2105 0.3625 0.0 nan 0.0 0.3100 0.0 0.0 0.8177 0.7292 0.9120 0.0 0.0060 0.1622 0.0
0.3236 93.46 10000 0.6267 0.2855 0.3608 0.8189 nan 0.7510 0.9361 0.6440 0.7003 0.3059 nan 0.4518 0.7586 0.0 0.9322 0.0 0.0 0.0 0.0 0.7863 0.0 0.0 0.8893 0.0 0.3358 0.5576 0.0 nan 0.0 0.4869 0.0 0.0 0.9045 0.8814 0.9529 0.0 0.0090 0.2624 0.0 nan 0.6541 0.8293 0.4454 0.5428 0.2643 nan 0.3338 0.5352 0.0 0.7833 0.0 0.0 0.0 0.0 0.5114 0.0 0.0 0.6967 0.0 0.2072 0.3647 0.0 nan 0.0 0.3169 0.0 0.0 0.8200 0.7329 0.9120 0.0 0.0088 0.1778 0.0

Framework versions

  • Transformers 4.40.0.dev0
  • Pytorch 1.13.0+cu117
  • Datasets 2.18.0
  • Tokenizers 0.15.2