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segformer-finetuned-sidewalk-10k-steps

Image Segmentation
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PyTorch
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segformer
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segformer-finetuned-sidewalk-50-epochs

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: 0.6350
  • Mean Iou: 0.3022
  • Mean Accuracy: 0.3724
  • Overall Accuracy: 0.8117
  • Accuracy Unlabeled: nan
  • Accuracy Flat-road: 0.8240
  • Accuracy Flat-sidewalk: 0.8308
  • Accuracy Flat-crosswalk: 0.7789
  • Accuracy Flat-cyclinglane: 0.9052
  • Accuracy Flat-parkingdriveway: 0.3152
  • Accuracy Flat-railtrack: nan
  • Accuracy Flat-curb: 0.4703
  • Accuracy Human-person: 0.6444
  • Accuracy Human-rider: 0.0
  • Accuracy Vehicle-car: 0.9424
  • Accuracy Vehicle-truck: 0.0
  • Accuracy Vehicle-bus: 0.0
  • Accuracy Vehicle-tramtrain: 0.0
  • Accuracy Vehicle-motorcycle: 0.0
  • Accuracy Vehicle-bicycle: 0.7116
  • Accuracy Vehicle-caravan: 0.0
  • Accuracy Vehicle-cartrailer: 0.0
  • Accuracy Construction-building: 0.8716
  • Accuracy Construction-door: 0.0
  • Accuracy Construction-wall: 0.4736
  • Accuracy Construction-fenceguardrail: 0.5408
  • Accuracy Construction-bridge: 0.0
  • Accuracy Construction-tunnel: nan
  • Accuracy Construction-stairs: 0.0048
  • Accuracy Object-pole: 0.4202
  • Accuracy Object-trafficsign: 0.0754
  • Accuracy Object-trafficlight: 0.0
  • Accuracy Nature-vegetation: 0.9437
  • Accuracy Nature-terrain: 0.8196
  • Accuracy Sky: 0.9525
  • Accuracy Void-ground: 0.0
  • Accuracy Void-dynamic: 0.1041
  • Accuracy Void-static: 0.2872
  • Accuracy Void-unclear: 0.0
  • Iou Unlabeled: nan
  • Iou Flat-road: 0.7413
  • Iou Flat-sidewalk: 0.7520
  • Iou Flat-crosswalk: 0.7629
  • Iou Flat-cyclinglane: 0.4453
  • Iou Flat-parkingdriveway: 0.2976
  • Iou Flat-railtrack: nan
  • Iou Flat-curb: 0.3701
  • Iou Human-person: 0.4953
  • Iou Human-rider: 0.0
  • Iou Vehicle-car: 0.7962
  • Iou Vehicle-truck: 0.0
  • Iou Vehicle-bus: 0.0
  • Iou Vehicle-tramtrain: 0.0
  • Iou Vehicle-motorcycle: 0.0
  • Iou Vehicle-bicycle: 0.4152
  • Iou Vehicle-caravan: 0.0
  • Iou Vehicle-cartrailer: 0.0
  • Iou Construction-building: 0.6712
  • Iou Construction-door: 0.0
  • Iou Construction-wall: 0.3749
  • Iou Construction-fenceguardrail: 0.4613
  • Iou Construction-bridge: 0.0
  • Iou Construction-tunnel: nan
  • Iou Construction-stairs: 0.0048
  • Iou Object-pole: 0.2337
  • Iou Object-trafficsign: 0.0753
  • Iou Object-trafficlight: 0.0
  • Iou Nature-vegetation: 0.8324
  • Iou Nature-terrain: 0.7277
  • Iou Sky: 0.9234
  • Iou Void-ground: 0.0
  • Iou Void-dynamic: 0.0913
  • Iou Void-static: 0.1997
  • 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: 16
  • eval_batch_size: 16
  • seed: 42
  • 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
2.4745 1.85 100 1.7861 0.1056 0.1555 0.6397 nan 0.2287 0.9278 0.0 0.1406 0.0032 nan 0.0 0.0 0.0 0.7757 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.8764 0.0 0.0 0.0 0.0 nan 0.0 0.0 0.0 0.0 0.8387 0.8794 0.3057 0.0 0.0 0.0 0.0 nan 0.1931 0.6432 0.0 0.1380 0.0031 nan 0.0 0.0 0.0 0.5312 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.4482 0.0 0.0 0.0 0.0 nan 0.0 0.0 0.0 0.0 0.6323 0.4860 0.3053 0.0 0.0 0.0 0.0
1.7294 3.7 200 1.3129 0.1517 0.1996 0.7410 nan 0.7928 0.8830 0.0 0.6053 0.0089 nan 0.0 0.0 0.0 0.7837 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.8530 0.0 0.0 0.0 0.0 nan 0.0 0.0 0.0 0.0 0.9138 0.7742 0.7740 0.0 0.0 0.0 0.0 nan 0.5519 0.7788 0.0 0.5131 0.0088 nan 0.0 0.0 0.0 0.5804 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.5005 0.0 0.0 0.0 0.0 nan 0.0 0.0 0.0 0.0 0.6747 0.5247 0.7209 0.0 0.0 0.0 0.0
1.4479 5.56 300 1.1309 0.1608 0.2113 0.7588 nan 0.7973 0.9008 0.0 0.7721 0.0269 nan 0.0 0.0 0.0 0.8744 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.8581 0.0 0.0007 0.0 0.0 nan 0.0 0.0 0.0 0.0 0.8622 0.8707 0.7985 0.0 0.0 0.0 0.0 nan 0.5861 0.7816 0.0 0.5877 0.0261 nan 0.0 0.0 0.0 0.6119 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.5582 0.0 0.0007 0.0 0.0 nan 0.0 0.0 0.0 0.0 0.7024 0.5206 0.7706 0.0 0.0 0.0 0.0
1.2348 7.41 400 0.9644 0.1707 0.2170 0.7736 nan 0.8125 0.9218 0.0 0.7596 0.1081 nan 0.0000 0.0 0.0 0.9080 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.8280 0.0 0.0334 0.0 0.0 nan 0.0 0.0 0.0 0.0 0.8856 0.8260 0.8612 0.0 0.0 0.0 0.0 nan 0.6003 0.7937 0.0 0.6538 0.0997 nan 0.0000 0.0 0.0 0.6189 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.5731 0.0 0.0330 0.0 0.0 nan 0.0 0.0 0.0 0.0 0.7147 0.5601 0.8139 0.0 0.0 0.0 0.0
1.0762 9.26 500 0.8819 0.1722 0.2159 0.7748 nan 0.7512 0.9353 0.0 0.7565 0.1204 nan 0.0016 0.0 0.0 0.9115 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.8689 0.0 0.0565 0.0 0.0 nan 0.0 0.0 0.0 0.0 0.9098 0.7664 0.8303 0.0 0.0 0.0 0.0 nan 0.5993 0.7850 0.0 0.6536 0.1052 nan 0.0016 0.0 0.0 0.6377 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.5767 0.0 0.0547 0.0 0.0 nan 0.0 0.0 0.0 0.0 0.7285 0.5709 0.7984 0.0 0.0 0.0 0.0
0.9933 11.11 600 0.8347 0.1814 0.2263 0.7822 nan 0.8064 0.9111 0.0 0.7880 0.1443 nan 0.0436 0.0 0.0 0.8944 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.8970 0.0 0.1914 0.0 0.0 nan 0.0 0.0 0.0 0.0 0.9053 0.8080 0.8526 0.0 0.0 0.0 0.0 nan 0.6088 0.8045 0.0 0.6845 0.1255 nan 0.0419 0.0 0.0 0.6594 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.5548 0.0 0.1585 0.0 0.0 nan 0.0 0.0 0.0 0.0 0.7440 0.6068 0.8176 0.0 0.0 0.0 0.0
0.9424 12.96 700 0.8428 0.1824 0.2271 0.7704 nan 0.6767 0.9270 0.0475 0.7655 0.1322 nan 0.2020 0.0189 0.0 0.8410 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.9205 0.0 0.2568 0.0 0.0 nan 0.0 0.0023 0.0 0.0 0.8994 0.7347 0.8413 0.0 0.0 0.0 0.0 nan 0.5838 0.7914 0.0475 0.6091 0.1095 nan 0.1597 0.0185 0.0 0.6706 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.5131 0.0 0.1872 0.0 0.0 nan 0.0 0.0023 0.0 0.0 0.7525 0.5837 0.8077 0.0 0.0 0.0 0.0
0.8673 14.81 800 0.7934 0.2089 0.2509 0.7818 nan 0.6854 0.9394 0.7072 0.7240 0.1504 nan 0.2013 0.0186 0.0 0.9071 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.9037 0.0 0.3110 0.0 0.0 nan 0.0 0.0108 0.0 0.0 0.8990 0.7171 0.8513 0.0 0.0 0.0013 0.0 nan 0.5914 0.7755 0.6900 0.6673 0.1340 nan 0.1542 0.0183 0.0 0.6792 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.5639 0.0 0.2172 0.0 0.0 nan 0.0 0.0100 0.0 0.0 0.7615 0.6014 0.8192 0.0 0.0 0.0013 0.0
0.8126 16.67 900 0.7484 0.2268 0.2784 0.7940 nan 0.6791 0.9397 0.7812 0.8009 0.1532 nan 0.3244 0.2962 0.0 0.9018 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.8567 0.0 0.4772 0.0002 0.0 nan 0.0 0.0834 0.0 0.0 0.8992 0.8280 0.8837 0.0 0.0 0.0032 0.0 nan 0.6303 0.7968 0.7079 0.6095 0.1396 nan 0.2196 0.2638 0.0 0.7100 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.6016 0.0 0.2860 0.0002 0.0 nan 0.0 0.0570 0.0 0.0 0.7678 0.6211 0.8416 0.0 0.0 0.0032 0.0
0.7989 18.52 1000 0.7241 0.2279 0.2803 0.8018 nan 0.7224 0.9402 0.7875 0.8234 0.1793 nan 0.3763 0.1974 0.0 0.9259 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.8911 0.0 0.3994 0.0029 0.0 nan 0.0 0.0758 0.0 0.0 0.8619 0.8774 0.8854 0.0 0.0 0.0225 0.0 nan 0.6579 0.8292 0.7198 0.6924 0.1660 nan 0.2392 0.1794 0.0 0.6748 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.5766 0.0 0.2654 0.0029 0.0 nan 0.0 0.0636 0.0 0.0 0.7582 0.5994 0.8455 0.0 0.0 0.0220 0.0
0.7429 20.37 1100 0.7321 0.2276 0.2862 0.7876 nan 0.8321 0.8491 0.7958 0.8572 0.2216 nan 0.3030 0.2864 0.0 0.9456 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.8668 0.0 0.3757 0.0040 0.0 nan 0.0 0.1140 0.0 0.0 0.8839 0.8499 0.9228 0.0 0.0 0.0505 0.0 nan 0.6678 0.7848 0.7342 0.5048 0.1995 nan 0.2316 0.2463 0.0 0.6379 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.5916 0.0 0.2668 0.0040 0.0 nan 0.0 0.0820 0.0 0.0 0.7827 0.6428 0.8583 0.0 0.0 0.0465 0.0
0.7131 22.22 1200 0.7231 0.2377 0.2995 0.7870 nan 0.8306 0.8458 0.7952 0.8505 0.2218 nan 0.3614 0.5001 0.0 0.9504 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.7598 0.0 0.5317 0.0405 0.0 nan 0.0 0.1381 0.0 0.0 0.9284 0.7938 0.9110 0.0 0.0 0.1262 0.0 nan 0.7038 0.7740 0.7537 0.4538 0.1996 nan 0.2521 0.3853 0.0 0.6576 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.6157 0.0 0.3046 0.0404 0.0 nan 0.0 0.0921 0.0 0.0 0.7846 0.6383 0.8588 0.0 0.0 0.0911 0.0
0.6919 24.07 1300 0.6775 0.2361 0.2885 0.8013 nan 0.7728 0.9073 0.8010 0.8366 0.1547 nan 0.3070 0.3428 0.0 0.9272 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.8568 0.0 0.5009 0.0736 0.0 nan 0.0 0.0975 0.0 0.0 0.9297 0.7567 0.8978 0.0 0.0 0.0682 0.0 nan 0.6564 0.7929 0.6932 0.6396 0.1438 nan 0.2385 0.2888 0.0 0.6807 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.6085 0.0 0.3114 0.0729 0.0 nan 0.0 0.0803 0.0 0.0 0.7857 0.6403 0.8601 0.0 0.0 0.0610 0.0
0.68 25.93 1400 0.6321 0.2575 0.3109 0.8181 nan 0.7851 0.9362 0.8041 0.8438 0.1694 nan 0.3956 0.5626 0.0 0.9306 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.8313 0.0 0.5073 0.2728 0.0 nan 0.0 0.1741 0.0 0.0 0.9221 0.7899 0.9071 0.0 0.0 0.1157 0.0 nan 0.6781 0.8336 0.7386 0.7047 0.1564 nan 0.2789 0.4291 0.0 0.6934 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.6062 0.0 0.3305 0.2579 0.0 nan 0.0 0.1228 0.0 0.0 0.7952 0.6651 0.8631 0.0 0.0 0.0865 0.0
0.6644 27.78 1500 0.6568 0.2555 0.3132 0.8074 nan 0.7687 0.9014 0.7631 0.8302 0.1869 nan 0.4841 0.4880 0.0 0.9294 0.0 0.0 0.0 0.0 0.0002 0.0 0.0 0.8139 0.0 0.5482 0.3042 0.0 nan 0.0 0.1974 0.0 0.0 0.9225 0.8543 0.9042 0.0 0.0 0.1259 0.0 nan 0.6723 0.8030 0.7443 0.5873 0.1742 nan 0.3013 0.3813 0.0 0.7117 0.0 0.0 0.0 0.0 0.0002 0.0 0.0 0.6159 0.0 0.3289 0.2810 0.0 nan 0.0 0.1295 0.0 0.0 0.8015 0.6848 0.8665 0.0 0.0 0.0931 0.0
0.6153 29.63 1600 0.6157 0.2586 0.3131 0.8188 nan 0.8000 0.9242 0.7980 0.8445 0.1758 nan 0.4143 0.6256 0.0 0.9155 0.0 0.0 0.0 0.0 0.0007 0.0 0.0 0.8792 0.0 0.4465 0.2182 0.0 nan 0.0 0.1970 0.0 0.0 0.9111 0.8171 0.9368 0.0 0.0 0.1136 0.0 nan 0.6844 0.8212 0.7565 0.6537 0.1636 nan 0.2857 0.4354 0.0 0.7222 0.0 0.0 0.0 0.0 0.0007 0.0 0.0 0.6274 0.0 0.3217 0.2147 0.0 nan 0.0 0.1313 0.0 0.0 0.8082 0.6809 0.8737 0.0 0.0 0.0926 0.0
0.6154 31.48 1700 0.6397 0.2621 0.3204 0.8117 nan 0.8357 0.8840 0.7908 0.8465 0.2590 nan 0.4050 0.5401 0.0 0.9393 0.0 0.0 0.0 0.0 0.0105 0.0 0.0 0.8169 0.0 0.4733 0.3188 0.0 nan 0.0 0.2505 0.0 0.0 0.9181 0.8473 0.9287 0.0 0.0 0.1890 0.0 nan 0.6774 0.8042 0.7524 0.5662 0.2300 nan 0.2971 0.4050 0.0 0.6970 0.0 0.0 0.0 0.0 0.0105 0.0 0.0 0.6489 0.0 0.3454 0.3058 0.0 nan 0.0 0.1441 0.0 0.0 0.8074 0.6913 0.8820 0.0 0.0 0.1224 0.0
0.6305 33.33 1800 0.6131 0.2641 0.3212 0.8194 nan 0.8171 0.8984 0.8212 0.8462 0.2582 nan 0.5051 0.5504 0.0 0.9421 0.0 0.0 0.0 0.0 0.0221 0.0 0.0 0.8777 0.0 0.3528 0.3169 0.0 nan 0.0 0.2249 0.0 0.0 0.9203 0.8499 0.9175 0.0 0.0 0.1587 0.0 nan 0.7209 0.8195 0.7546 0.6166 0.2267 nan 0.3408 0.4000 0.0 0.6906 0.0 0.0 0.0 0.0 0.0221 0.0 0.0 0.6055 0.0 0.2823 0.3044 0.0 nan 0.0 0.1545 0.0 0.0 0.8124 0.6994 0.8799 0.0 0.0 0.1204 0.0
0.6083 35.19 1900 0.6224 0.2646 0.3182 0.8171 nan 0.7473 0.9297 0.7826 0.8269 0.2162 nan 0.4556 0.4982 0.0 0.9169 0.0 0.0 0.0 0.0 0.0865 0.0 0.0 0.9031 0.0 0.3618 0.3583 0.0 nan 0.0 0.2603 0.0 0.0 0.8966 0.8828 0.9016 0.0 0.0 0.1587 0.0 nan 0.6824 0.8210 0.7645 0.5950 0.2019 nan 0.3166 0.3895 0.0 0.7307 0.0 0.0 0.0 0.0 0.0853 0.0 0.0 0.6063 0.0 0.2860 0.3200 0.0 nan 0.0 0.1659 0.0 0.0 0.8188 0.7017 0.8695 0.0 0.0 0.1113 0.0
0.5847 37.04 2000 0.5906 0.2713 0.3209 0.8281 nan 0.7374 0.9612 0.7764 0.8195 0.2033 nan 0.4219 0.4950 0.0 0.9339 0.0 0.0 0.0 0.0 0.0960 0.0 0.0 0.8434 0.0 0.4552 0.4437 0.0 nan 0.0 0.2250 0.0 0.0 0.9315 0.8612 0.9071 0.0 0.0 0.1567 0.0 nan 0.6883 0.8311 0.7525 0.6838 0.1851 nan 0.3228 0.3780 0.0 0.7236 0.0 0.0 0.0 0.0 0.0944 0.0 0.0 0.6338 0.0 0.3408 0.3853 0.0 nan 0.0 0.1586 0.0 0.0 0.8104 0.6978 0.8800 0.0 0.0 0.1162 0.0
0.5764 38.89 2100 0.6088 0.2752 0.3225 0.8255 nan 0.7525 0.9472 0.7709 0.8441 0.2134 nan 0.3932 0.5383 0.0 0.9030 0.0 0.0 0.0 0.0 0.3470 0.0 0.0 0.9195 0.0 0.3310 0.3215 0.0 nan 0.0 0.2234 0.0 0.0 0.9289 0.7964 0.9280 0.0 0.0 0.1604 0.0 nan 0.6993 0.8276 0.7546 0.7234 0.1997 nan 0.3005 0.4222 0.0 0.7348 0.0 0.0 0.0 0.0 0.3123 0.0 0.0 0.5918 0.0 0.2787 0.3037 0.0 nan 0.0 0.1585 0.0 0.0 0.8124 0.6781 0.8844 0.0 0.0 0.1247 0.0
0.5787 40.74 2200 0.5706 0.2824 0.3351 0.8347 nan 0.8178 0.9369 0.8003 0.8511 0.2352 nan 0.4838 0.5417 0.0 0.9025 0.0 0.0 0.0 0.0 0.3689 0.0 0.0 0.8739 0.0 0.4493 0.4040 0.0 nan 0.0 0.2524 0.0 0.0 0.9422 0.8182 0.9183 0.0 0.0 0.1276 0.0 nan 0.7292 0.8432 0.7669 0.6897 0.2161 nan 0.3484 0.4230 0.0 0.7519 0.0 0.0 0.0 0.0 0.3045 0.0 0.0 0.6407 0.0 0.3373 0.3491 0.0 nan 0.0 0.1557 0.0 0.0 0.8080 0.6803 0.8850 0.0 0.0 0.1068 0.0
0.5724 42.59 2300 0.7562 0.2740 0.3479 0.7662 nan 0.8734 0.7169 0.7809 0.8847 0.2838 nan 0.3742 0.6758 0.0 0.9339 0.0 0.0 0.0 0.0 0.6048 0.0 0.0 0.8535 0.0 0.4435 0.4729 0.0 nan 0.0 0.2817 0.0 0.0 0.9149 0.8765 0.9329 0.0 0.0 0.2292 0.0 nan 0.7041 0.6683 0.7628 0.3371 0.2575 nan 0.2878 0.4639 0.0 0.7454 0.0 0.0 0.0 0.0 0.4190 0.0 0.0 0.6387 0.0 0.3357 0.3997 0.0 nan 0.0 0.1776 0.0 0.0 0.8183 0.7106 0.8911 0.0 0.0 0.1516 0.0
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0.3057 155.56 8400 0.6602 0.2967 0.3669 0.8053 nan 0.7862 0.8400 0.8012 0.9083 0.2761 nan 0.3977 0.6548 0.0 0.9399 0.0 0.0 0.0 0.0 0.7262 0.0 0.0 0.8830 0.0 0.4582 0.5390 0.0 nan 0.0 0.4382 0.0696 0.0 0.9380 0.7676 0.9517 0.0 0.1204 0.2454 0.0 nan 0.7257 0.7493 0.7832 0.4331 0.2603 nan 0.3344 0.4909 0.0 0.7899 0.0 0.0 0.0 0.0 0.4164 0.0 0.0 0.6631 0.0 0.3619 0.4610 0.0 nan 0.0 0.2358 0.0695 0.0 0.8268 0.6858 0.9224 0.0 0.1038 0.1798 0.0
0.3152 157.41 8500 0.6195 0.2986 0.3661 0.8115 nan 0.7876 0.8570 0.7994 0.8920 0.2891 nan 0.4035 0.6056 0.0 0.9417 0.0 0.0 0.0 0.0 0.7090 0.0 0.0 0.8719 0.0 0.4959 0.5413 0.0 nan 0.0 0.4136 0.0566 0.0 0.9414 0.7717 0.9517 0.0 0.1198 0.2672 0.0 nan 0.7263 0.7633 0.7814 0.4550 0.2715 nan 0.3352 0.4721 0.0 0.7820 0.0 0.0 0.0 0.0 0.4233 0.0 0.0 0.6671 0.0 0.3757 0.4677 0.0 nan 0.0 0.2407 0.0565 0.0 0.8255 0.6891 0.9216 0.0 0.1083 0.1912 0.0
0.3041 159.26 8600 0.5761 0.3071 0.3735 0.8297 nan 0.8077 0.8910 0.8053 0.8839 0.3353 nan 0.4603 0.6015 0.0 0.9489 0.0 0.0 0.0 0.0 0.6966 0.0 0.0 0.8701 0.0 0.4933 0.5427 0.0 nan 0.0082 0.4481 0.0761 0.0 0.9301 0.8454 0.9544 0.0005 0.1062 0.2469 0.0 nan 0.7406 0.7982 0.7855 0.5184 0.3024 nan 0.3652 0.4669 0.0 0.7807 0.0 0.0 0.0 0.0 0.4413 0.0 0.0 0.6853 0.0 0.3815 0.4553 0.0 nan 0.0082 0.2312 0.0759 0.0 0.8414 0.7507 0.9229 0.0005 0.0961 0.1775 0.0
0.3185 161.11 8700 0.5760 0.3058 0.3698 0.8296 nan 0.8094 0.8946 0.7956 0.8887 0.2897 nan 0.4223 0.5895 0.0 0.9357 0.0 0.0 0.0 0.0 0.6889 0.0 0.0 0.8908 0.0 0.4640 0.5538 0.0 nan 0.0 0.4239 0.0692 0.0 0.9305 0.8418 0.9519 0.0001 0.1431 0.2510 0.0 nan 0.7455 0.7997 0.7789 0.5321 0.2717 nan 0.3473 0.4756 0.0 0.8013 0.0 0.0 0.0 0.0 0.4311 0.0 0.0 0.6576 0.0 0.3605 0.4511 0.0 nan 0.0 0.2412 0.0691 0.0 0.8410 0.7459 0.9223 0.0001 0.1284 0.1839 0.0
0.2908 162.96 8800 0.5655 0.3075 0.3717 0.8316 nan 0.8548 0.8841 0.7997 0.8745 0.3118 nan 0.4610 0.6024 0.0 0.9410 0.0 0.0 0.0 0.0 0.6931 0.0 0.0 0.8861 0.0 0.4534 0.5383 0.0 nan 0.0015 0.4266 0.0689 0.0 0.9366 0.8053 0.9554 0.0 0.1346 0.2641 0.0 nan 0.7595 0.8021 0.7817 0.5396 0.2919 nan 0.3717 0.4720 0.0 0.7905 0.0 0.0 0.0 0.0 0.4462 0.0 0.0 0.6634 0.0 0.3562 0.4639 0.0 nan 0.0015 0.2393 0.0688 0.0 0.8346 0.7212 0.9232 0.0 0.1193 0.1923 0.0
0.3137 164.81 8900 0.5829 0.3094 0.3784 0.8279 nan 0.8476 0.8674 0.8118 0.9018 0.3237 nan 0.4801 0.6610 0.0 0.9387 0.0 0.0 0.0 0.0 0.6851 0.0 0.0 0.8696 0.0 0.5109 0.5681 0.0 nan 0.0260 0.4276 0.0709 0.0 0.9330 0.8416 0.9554 0.0012 0.1333 0.2547 0.0 nan 0.7562 0.7893 0.7902 0.5123 0.3055 nan 0.3768 0.4921 0.0 0.7978 0.0 0.0 0.0 0.0 0.4472 0.0 0.0 0.6754 0.0 0.3867 0.4408 0.0 nan 0.0260 0.2316 0.0708 0.0 0.8396 0.7418 0.9237 0.0010 0.1173 0.1797 0.0
0.3219 166.67 9000 0.5812 0.3065 0.3750 0.8278 nan 0.8354 0.8788 0.8041 0.8834 0.2990 nan 0.4594 0.6655 0.0 0.9395 0.0 0.0 0.0 0.0 0.6980 0.0 0.0 0.8601 0.0 0.5069 0.5685 0.0 nan 0.0113 0.4156 0.0664 0.0 0.9440 0.8108 0.9521 0.0001 0.1291 0.2716 0.0 nan 0.7565 0.7902 0.7828 0.5219 0.2845 nan 0.3688 0.4922 0.0 0.7966 0.0 0.0 0.0 0.0 0.4240 0.0 0.0 0.6768 0.0 0.3877 0.4481 0.0 nan 0.0113 0.2327 0.0664 0.0 0.8308 0.7154 0.9230 0.0001 0.1124 0.1869 0.0
0.3181 168.52 9100 0.5632 0.3112 0.3765 0.8367 nan 0.8125 0.9072 0.8124 0.8963 0.3044 nan 0.4647 0.6697 0.0 0.9359 0.0 0.0 0.0 0.0 0.6879 0.0 0.0 0.8771 0.0 0.5085 0.5560 0.0 nan 0.0039 0.4244 0.0703 0.0 0.9367 0.8280 0.9532 0.0 0.1309 0.2672 0.0 nan 0.7474 0.8113 0.7892 0.5707 0.2882 nan 0.3704 0.5031 0.0 0.7988 0.0 0.0 0.0 0.0 0.4314 0.0 0.0 0.6778 0.0 0.3900 0.4604 0.0 nan 0.0039 0.2372 0.0702 0.0 0.8390 0.7407 0.9234 0.0 0.1173 0.1872 0.0
0.3009 170.37 9200 0.5671 0.3095 0.3743 0.8326 nan 0.7939 0.9018 0.7926 0.8902 0.3160 nan 0.4603 0.6415 0.0 0.9414 0.0 0.0 0.0 0.0 0.6804 0.0 0.0 0.8815 0.0 0.4974 0.5528 0.0 nan 0.0000 0.4233 0.0749 0.0 0.9339 0.8322 0.9566 0.0 0.1296 0.2770 0.0 nan 0.7279 0.8041 0.7736 0.5652 0.2951 nan 0.3698 0.4960 0.0 0.7938 0.0 0.0 0.0 0.0 0.4395 0.0 0.0 0.6714 0.0 0.3837 0.4627 0.0 nan 0.0000 0.2368 0.0747 0.0 0.8379 0.7389 0.9235 0.0 0.1161 0.1946 0.0
0.2873 172.22 9300 0.6113 0.3047 0.3720 0.8176 nan 0.8107 0.8536 0.7603 0.8949 0.3232 nan 0.4761 0.6422 0.0 0.9415 0.0 0.0 0.0 0.0 0.6799 0.0 0.0 0.8720 0.0 0.5023 0.5457 0.0 nan 0.0034 0.4146 0.0717 0.0 0.9439 0.8035 0.9521 0.0 0.1299 0.2839 0.0 nan 0.7355 0.7675 0.7422 0.4826 0.3027 nan 0.3715 0.4933 0.0 0.7896 0.0 0.0 0.0 0.0 0.4421 0.0 0.0 0.6666 0.0 0.3881 0.4723 0.0 nan 0.0034 0.2350 0.0716 0.0 0.8305 0.7183 0.9229 0.0 0.1152 0.1992 0.0
0.2856 174.07 9400 0.6091 0.3045 0.3713 0.8183 nan 0.8177 0.8508 0.7884 0.9070 0.3274 nan 0.4412 0.5971 0.0 0.9437 0.0 0.0 0.0 0.0 0.6904 0.0 0.0 0.8760 0.0 0.5037 0.5471 0.0 nan 0.0023 0.4093 0.0729 0.0 0.9395 0.8289 0.9513 0.0000 0.1123 0.2745 0.0 nan 0.7401 0.7694 0.7705 0.4745 0.3070 nan 0.3570 0.4797 0.0 0.7901 0.0 0.0 0.0 0.0 0.4370 0.0 0.0 0.6642 0.0 0.3879 0.4663 0.0 nan 0.0023 0.2356 0.0728 0.0 0.8358 0.7333 0.9230 0.0000 0.1034 0.1937 0.0
0.2803 175.93 9500 0.6404 0.3009 0.3704 0.8084 nan 0.8365 0.8208 0.7833 0.9062 0.3050 nan 0.4405 0.6203 0.0 0.9443 0.0 0.0 0.0 0.0 0.6940 0.0 0.0 0.8667 0.0 0.5055 0.5494 0.0 nan 0.0084 0.4148 0.0772 0.0 0.9424 0.8074 0.9551 0.0001 0.1077 0.2664 0.0 nan 0.7454 0.7459 0.7680 0.4316 0.2897 nan 0.3571 0.4866 0.0 0.7930 0.0 0.0 0.0 0.0 0.4255 0.0 0.0 0.6652 0.0 0.3877 0.4601 0.0 nan 0.0084 0.2306 0.0771 0.0 0.8314 0.7178 0.9235 0.0001 0.0969 0.1889 0.0
0.2924 177.78 9600 0.6156 0.3045 0.3723 0.8156 nan 0.8293 0.8420 0.8051 0.8964 0.3365 nan 0.4651 0.6281 0.0 0.9443 0.0 0.0 0.0 0.0 0.6806 0.0 0.0 0.8777 0.0 0.4957 0.5434 0.0 nan 0.0043 0.4293 0.0774 0.0 0.9387 0.7942 0.9562 0.0 0.1178 0.2514 0.0 nan 0.7508 0.7606 0.7848 0.4617 0.3134 nan 0.3712 0.4903 0.0 0.7912 0.0 0.0 0.0 0.0 0.4384 0.0 0.0 0.6666 0.0 0.3850 0.4648 0.0 nan 0.0043 0.2308 0.0773 0.0 0.8320 0.7126 0.9232 0.0 0.1028 0.1836 0.0
0.2911 179.63 9700 0.6039 0.3051 0.3743 0.8197 nan 0.8161 0.8573 0.8009 0.9013 0.3091 nan 0.4597 0.6407 0.0 0.9406 0.0 0.0 0.0 0.0 0.7191 0.0 0.0 0.8787 0.0 0.5007 0.5561 0.0 nan 0.0046 0.4187 0.0825 0.0 0.9325 0.8335 0.9578 0.0000 0.1036 0.2642 0.0 nan 0.7434 0.7687 0.7825 0.4751 0.2917 nan 0.3667 0.4994 0.0 0.7998 0.0 0.0 0.0 0.0 0.4127 0.0 0.0 0.6761 0.0 0.3878 0.4561 0.0 nan 0.0046 0.2352 0.0823 0.0 0.8393 0.7401 0.9235 0.0000 0.0883 0.1885 0.0
0.3093 181.48 9800 0.6244 0.3021 0.3707 0.8132 nan 0.8240 0.8367 0.7819 0.9031 0.3158 nan 0.4523 0.6336 0.0 0.9419 0.0 0.0 0.0 0.0 0.7047 0.0 0.0 0.8782 0.0 0.5024 0.5478 0.0 nan 0.0 0.4039 0.0761 0.0 0.9422 0.8036 0.9524 0.0 0.0992 0.2629 0.0 nan 0.7414 0.7575 0.7666 0.4537 0.2990 nan 0.3642 0.4913 0.0 0.7906 0.0 0.0 0.0 0.0 0.4261 0.0 0.0 0.6655 0.0 0.3892 0.4639 0.0 nan 0.0 0.2339 0.0760 0.0 0.8311 0.7168 0.9226 0.0 0.0873 0.1892 0.0
0.3194 183.33 9900 0.6384 0.3015 0.3707 0.8106 nan 0.8269 0.8295 0.7809 0.9036 0.3169 nan 0.4373 0.6407 0.0 0.9394 0.0 0.0 0.0 0.0 0.7004 0.0 0.0 0.8774 0.0 0.4936 0.5511 0.0 nan 0.0004 0.4210 0.0726 0.0 0.9434 0.8072 0.9462 0.0 0.1149 0.2605 0.0 nan 0.7423 0.7508 0.7639 0.4418 0.2988 nan 0.3584 0.4963 0.0 0.7976 0.0 0.0 0.0 0.0 0.4212 0.0 0.0 0.6662 0.0 0.3830 0.4618 0.0 nan 0.0004 0.2347 0.0725 0.0 0.8311 0.7208 0.9214 0.0 0.0993 0.1875 0.0
0.3174 185.19 10000 0.6350 0.3022 0.3724 0.8117 nan 0.8240 0.8308 0.7789 0.9052 0.3152 nan 0.4703 0.6444 0.0 0.9424 0.0 0.0 0.0 0.0 0.7116 0.0 0.0 0.8716 0.0 0.4736 0.5408 0.0 nan 0.0048 0.4202 0.0754 0.0 0.9437 0.8196 0.9525 0.0 0.1041 0.2872 0.0 nan 0.7413 0.7520 0.7629 0.4453 0.2976 nan 0.3701 0.4953 0.0 0.7962 0.0 0.0 0.0 0.0 0.4152 0.0 0.0 0.6712 0.0 0.3749 0.4613 0.0 nan 0.0048 0.2337 0.0753 0.0 0.8324 0.7277 0.9234 0.0 0.0913 0.1997 0.0

Framework versions

  • Transformers 4.19.0.dev0
  • Pytorch 1.11.0+cu113
  • Datasets 2.0.0
  • Tokenizers 0.11.6
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