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segformer-b0-finetuned-segments-sidewalk-oct-22

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metadata
license: other
base_model: nvidia/mit-b0
tags:
  - vision
  - image-segmentation
  - generated_from_trainer
model-index:
  - name: segformer-b0-finetuned-segments-sidewalk-oct-22
    results: []

segformer-b0-finetuned-segments-sidewalk-oct-22

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: 0.5644
  • Mean Iou: 0.3202
  • Mean Accuracy: 0.3861
  • Overall Accuracy: 0.8525
  • Accuracy Unlabeled: nan
  • Accuracy Flat-road: 0.8598
  • Accuracy Flat-sidewalk: 0.9440
  • Accuracy Flat-crosswalk: 0.6837
  • Accuracy Flat-cyclinglane: 0.8295
  • Accuracy Flat-parkingdriveway: 0.5586
  • Accuracy Flat-railtrack: nan
  • Accuracy Flat-curb: 0.6015
  • Accuracy Human-person: 0.6019
  • Accuracy Human-rider: 0.0
  • Accuracy Vehicle-car: 0.9395
  • Accuracy Vehicle-truck: 0.0
  • Accuracy Vehicle-bus: 0.0
  • Accuracy Vehicle-tramtrain: nan
  • Accuracy Vehicle-motorcycle: 0.0
  • Accuracy Vehicle-bicycle: 0.6060
  • Accuracy Vehicle-caravan: 0.0
  • Accuracy Vehicle-cartrailer: 0.0
  • Accuracy Construction-building: 0.8961
  • Accuracy Construction-door: 0.0
  • Accuracy Construction-wall: 0.5249
  • Accuracy Construction-fenceguardrail: 0.4892
  • Accuracy Construction-bridge: 0.0
  • Accuracy Construction-tunnel: nan
  • Accuracy Construction-stairs: 0.0
  • Accuracy Object-pole: 0.3733
  • Accuracy Object-trafficsign: 0.0
  • Accuracy Object-trafficlight: 0.0
  • Accuracy Nature-vegetation: 0.9376
  • Accuracy Nature-terrain: 0.9033
  • Accuracy Sky: 0.9668
  • Accuracy Void-ground: 0.0
  • Accuracy Void-dynamic: 0.0
  • Accuracy Void-static: 0.2540
  • Accuracy Void-unclear: 0.0
  • Iou Unlabeled: nan
  • Iou Flat-road: 0.7395
  • Iou Flat-sidewalk: 0.8717
  • Iou Flat-crosswalk: 0.5750
  • Iou Flat-cyclinglane: 0.6481
  • Iou Flat-parkingdriveway: 0.4281
  • Iou Flat-railtrack: nan
  • Iou Flat-curb: 0.4534
  • Iou Human-person: 0.4648
  • Iou Human-rider: 0.0
  • Iou Vehicle-car: 0.8127
  • Iou Vehicle-truck: 0.0
  • Iou Vehicle-bus: 0.0
  • Iou Vehicle-tramtrain: nan
  • Iou Vehicle-motorcycle: 0.0
  • Iou Vehicle-bicycle: 0.3687
  • Iou Vehicle-caravan: 0.0
  • Iou Vehicle-cartrailer: 0.0
  • Iou Construction-building: 0.7090
  • Iou Construction-door: 0.0
  • Iou Construction-wall: 0.3987
  • Iou Construction-fenceguardrail: 0.4429
  • Iou Construction-bridge: 0.0
  • Iou Construction-tunnel: nan
  • Iou Construction-stairs: 0.0
  • Iou Object-pole: 0.2772
  • Iou Object-trafficsign: 0.0
  • Iou Object-trafficlight: 0.0
  • Iou Nature-vegetation: 0.8463
  • Iou Nature-terrain: 0.7719
  • Iou Sky: 0.9189
  • Iou Void-ground: 0.0
  • Iou Void-dynamic: 0.0
  • Iou Void-static: 0.2004
  • 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: 0.0001
  • 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: 10

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
1.462 0.1 20 1.2595 0.1419 0.1947 0.7120 nan 0.7582 0.9092 0.0 0.0660 0.0000 nan 0.0 0.0 0.0 0.9133 0.0 0.0 nan 0.0 0.0 0.0 0.0 0.8346 0.0 0.0004 0.0 0.0 nan 0.0 0.0 0.0 0.0 0.9263 0.7278 0.9005 0.0 0.0 0.0 0.0 nan 0.4874 0.7290 0.0 0.0657 0.0000 nan 0.0 0.0 0.0 0.5744 0.0 0.0 nan 0.0 0.0 0.0 0.0 0.5093 0.0 0.0004 0.0 0.0 nan 0.0 0.0 0.0 0.0 0.7362 0.5259 0.7708 0.0 0.0 0.0 0.0
1.3298 0.2 40 1.1696 0.1552 0.2048 0.7307 nan 0.8291 0.9109 0.0 0.2907 0.0003 nan 0.0 0.0 0.0 0.9111 0.0 0.0 nan 0.0 0.0 0.0 0.0 0.8254 0.0 0.0001 0.0 0.0 nan 0.0 0.0 0.0 0.0 0.9266 0.7259 0.9291 0.0 0.0 0.0 0.0 nan 0.5114 0.7458 0.0 0.2725 0.0003 nan 0.0 0.0 0.0 0.6361 0.0 0.0 nan 0.0 0.0 0.0 0.0 0.5295 0.0 0.0001 0.0 0.0 nan 0.0 0.0 0.0 0.0 0.7486 0.5861 0.7800 0.0 0.0 0.0 0.0
0.8454 0.3 60 1.1409 0.1623 0.2113 0.7445 nan 0.8024 0.9346 0.0 0.4023 0.0079 nan 0.0 0.0 0.0 0.8823 0.0 0.0 nan 0.0 0.0 0.0 0.0 0.8139 0.0 0.0016 0.0 0.0 nan 0.0 0.0 0.0 0.0 0.9372 0.8410 0.9269 0.0 0.0 0.0 0.0 nan 0.5516 0.7597 0.0 0.3598 0.0078 nan 0.0 0.0 0.0 0.6808 0.0 0.0 nan 0.0 0.0 0.0 0.0 0.5406 0.0 0.0016 0.0 0.0 nan 0.0 0.0 0.0 0.0 0.7382 0.5945 0.7969 0.0 0.0 0.0 0.0
0.9115 0.4 80 1.0588 0.1639 0.2118 0.7400 nan 0.8770 0.8928 0.0 0.4710 0.0030 nan 0.0 0.0 0.0 0.9011 0.0 0.0 nan 0.0 0.0 0.0 0.0 0.8552 0.0 0.0003 0.0 0.0 nan 0.0 0.0 0.0 0.0 0.9351 0.6907 0.9398 0.0 0.0 0.0 0.0 nan 0.5108 0.7636 0.0 0.4068 0.0030 nan 0.0 0.0 0.0 0.6580 0.0 0.0 nan 0.0 0.0 0.0 0.0 0.5332 0.0 0.0003 0.0 0.0 nan 0.0 0.0 0.0 0.0 0.7594 0.6421 0.8024 0.0 0.0 0.0 0.0
1.011 0.5 100 1.0279 0.1646 0.2179 0.7466 nan 0.8087 0.9090 0.0 0.5313 0.0041 nan 0.0166 0.0 0.0 0.9286 0.0 0.0 nan 0.0 0.0 0.0 0.0 0.8570 0.0 0.0019 0.0 0.0 nan 0.0 0.0 0.0 0.0 0.9349 0.8582 0.9038 0.0 0.0 0.0 0.0 nan 0.5617 0.7613 0.0 0.4246 0.0041 nan 0.0163 0.0 0.0 0.6325 0.0 0.0 nan 0.0 0.0 0.0 0.0 0.5354 0.0 0.0019 0.0 0.0 nan 0.0 0.0 0.0 0.0 0.7643 0.5952 0.8043 0.0 0.0 0.0 0.0
1.3211 0.6 120 1.0123 0.1692 0.2180 0.7496 nan 0.7381 0.9409 0.0 0.5419 0.0436 nan 0.1004 0.0 0.0 0.9234 0.0 0.0 nan 0.0 0.0 0.0 0.0 0.8649 0.0 0.0082 0.0000 0.0 nan 0.0 0.0 0.0 0.0 0.9434 0.7166 0.9375 0.0 0.0 0.0 0.0 nan 0.5590 0.7596 0.0 0.3963 0.0422 nan 0.0943 0.0 0.0 0.6632 0.0 0.0 nan 0.0 0.0 0.0 0.0 0.5399 0.0 0.0081 0.0000 0.0 nan 0.0 0.0 0.0 0.0 0.7656 0.5951 0.8222 0.0 0.0 0.0 0.0
1.0065 0.7 140 0.9791 0.1689 0.2176 0.7502 nan 0.8268 0.9187 0.0 0.5011 0.0677 nan 0.0773 0.0 0.0 0.9338 0.0 0.0 nan 0.0 0.0 0.0 0.0 0.9045 0.0 0.0077 0.0 0.0 nan 0.0 0.0 0.0 0.0 0.9298 0.6508 0.9265 0.0 0.0 0.0 0.0 nan 0.5600 0.7809 0.0 0.4371 0.0637 nan 0.0721 0.0 0.0 0.6222 0.0 0.0 nan 0.0 0.0 0.0 0.0 0.5215 0.0 0.0075 0.0 0.0 nan 0.0 0.0 0.0 0.0 0.7620 0.5671 0.8406 0.0 0.0 0.0 0.0
0.8046 0.8 160 0.9695 0.1703 0.2147 0.7442 nan 0.6653 0.9719 0.0 0.4870 0.0490 nan 0.0337 0.0 0.0 0.8754 0.0 0.0 nan 0.0 0.0 0.0 0.0 0.7818 0.0 0.0510 0.0 0.0 nan 0.0 0.0006 0.0 0.0 0.9269 0.8824 0.9306 0.0 0.0 0.0 0.0 nan 0.5548 0.7164 0.0 0.3614 0.0463 nan 0.0332 0.0 0.0 0.7196 0.0 0.0 nan 0.0 0.0 0.0 0.0 0.5634 0.0 0.0487 0.0 0.0 nan 0.0 0.0006 0.0 0.0 0.7624 0.6451 0.8265 0.0 0.0 0.0 0.0
0.8299 0.9 180 0.9008 0.1791 0.2264 0.7632 nan 0.7556 0.9611 0.0 0.5157 0.0804 nan 0.0962 0.0 0.0 0.9573 0.0 0.0 nan 0.0 0.0 0.0 0.0 0.8870 0.0 0.0491 0.0 0.0 nan 0.0 0.0001 0.0 0.0 0.9050 0.8751 0.9354 0.0 0.0 0.0 0.0 nan 0.6112 0.7531 0.0 0.4358 0.0736 nan 0.0907 0.0 0.0 0.6175 0.0 0.0 nan 0.0 0.0 0.0 0.0 0.5662 0.0 0.0461 0.0 0.0 nan 0.0 0.0001 0.0 0.0 0.7988 0.7005 0.8590 0.0 0.0 0.0 0.0
1.7382 1.0 200 0.9204 0.1770 0.2246 0.7550 nan 0.7011 0.9563 0.0 0.5585 0.0606 nan 0.0821 0.0 0.0 0.9182 0.0 0.0 nan 0.0 0.0 0.0 0.0 0.8852 0.0 0.0592 0.0 0.0 nan 0.0 0.0001 0.0 0.0 0.9046 0.9074 0.9303 0.0 0.0 0.0 0.0 nan 0.5664 0.7432 0.0 0.4047 0.0573 nan 0.0758 0.0 0.0 0.7003 0.0 0.0 nan 0.0 0.0 0.0 0.0 0.5667 0.0 0.0544 0.0 0.0 nan 0.0 0.0001 0.0 0.0 0.7864 0.6709 0.8622 0.0 0.0 0.0 0.0
0.9823 1.1 220 0.8596 0.1868 0.2319 0.7714 nan 0.8631 0.9325 0.0 0.4702 0.0986 nan 0.1854 0.0 0.0 0.9024 0.0 0.0 nan 0.0 0.0 0.0 0.0 0.8971 0.0 0.0805 0.0 0.0 nan 0.0 0.0076 0.0 0.0 0.9362 0.8675 0.9474 0.0 0.0 0.0000 0.0 nan 0.5915 0.7841 0.0 0.4126 0.0936 nan 0.1616 0.0 0.0 0.7255 0.0 0.0 nan 0.0 0.0 0.0 0.0 0.5662 0.0 0.0702 0.0 0.0 nan 0.0 0.0076 0.0 0.0 0.7982 0.7233 0.8577 0.0 0.0 0.0000 0.0
0.7915 1.2 240 0.8611 0.1979 0.2482 0.7736 nan 0.8241 0.9115 0.0 0.6181 0.2810 nan 0.2094 0.0 0.0 0.9181 0.0 0.0 nan 0.0 0.0 0.0 0.0 0.8534 0.0 0.3040 0.0 0.0 nan 0.0 0.0363 0.0 0.0 0.9445 0.8380 0.9548 0.0 0.0 0.0 0.0 nan 0.5898 0.7872 0.0 0.4598 0.2158 nan 0.1784 0.0 0.0 0.7214 0.0 0.0 nan 0.0 0.0 0.0 0.0 0.5774 0.0 0.2155 0.0 0.0 nan 0.0 0.0358 0.0 0.0 0.7978 0.7230 0.8327 0.0 0.0 0.0 0.0
0.9356 1.3 260 0.8942 0.1878 0.2379 0.7599 nan 0.6265 0.9610 0.0 0.4888 0.2483 nan 0.3971 0.0 0.0 0.9394 0.0 0.0 nan 0.0 0.0 0.0 0.0 0.9111 0.0 0.0591 0.0 0.0 nan 0.0 0.0127 0.0 0.0 0.9038 0.8992 0.9293 0.0 0.0 0.0 0.0 nan 0.5615 0.7544 0.0 0.3832 0.1988 nan 0.2752 0.0 0.0 0.6594 0.0 0.0 nan 0.0 0.0 0.0 0.0 0.5589 0.0 0.0521 0.0 0.0 nan 0.0 0.0126 0.0 0.0 0.8008 0.6830 0.8813 0.0 0.0 0.0 0.0
0.8097 1.4 280 0.8333 0.1992 0.2498 0.7752 nan 0.8669 0.9017 0.0 0.5555 0.3048 nan 0.3696 0.0 0.0 0.9208 0.0 0.0 nan 0.0 0.0 0.0 0.0 0.8507 0.0 0.1704 0.0 0.0 nan 0.0 0.0472 0.0 0.0 0.9403 0.8713 0.9429 0.0 0.0 0.0010 0.0 nan 0.5646 0.8035 0.0 0.4533 0.2374 nan 0.2820 0.0 0.0 0.6974 0.0 0.0 nan 0.0 0.0 0.0 0.0 0.5820 0.0 0.1490 0.0 0.0 nan 0.0 0.0466 0.0 0.0 0.8006 0.7220 0.8348 0.0 0.0 0.0010 0.0
0.9072 1.5 300 0.7929 0.2056 0.2588 0.7819 nan 0.8537 0.9209 0.0 0.5869 0.3037 nan 0.2640 0.0 0.0 0.9100 0.0 0.0 nan 0.0 0.0 0.0 0.0 0.8098 0.0 0.5714 0.0 0.0 nan 0.0 0.0396 0.0 0.0 0.9337 0.8841 0.9436 0.0 0.0 0.0002 0.0 nan 0.6061 0.8024 0.0 0.4735 0.2292 nan 0.2244 0.0 0.0 0.7509 0.0 0.0 nan 0.0 0.0 0.0 0.0 0.5947 0.0 0.2729 0.0 0.0 nan 0.0 0.0390 0.0 0.0 0.8104 0.7065 0.8620 0.0 0.0 0.0002 0.0
1.0461 1.6 320 0.7737 0.2131 0.2593 0.7938 nan 0.8158 0.9467 0.0 0.6523 0.3113 nan 0.3152 0.0048 0.0 0.9263 0.0 0.0 nan 0.0 0.0 0.0 0.0 0.8790 0.0 0.3751 0.0 0.0 nan 0.0 0.0794 0.0 0.0 0.9515 0.8307 0.9473 0.0 0.0 0.0014 0.0 nan 0.6374 0.7992 0.0 0.5435 0.2390 nan 0.2686 0.0048 0.0 0.7307 0.0 0.0 nan 0.0 0.0 0.0 0.0 0.6365 0.0 0.2649 0.0 0.0 nan 0.0 0.0758 0.0 0.0 0.7983 0.7205 0.8855 0.0 0.0 0.0014 0.0
0.9489 1.7 340 0.8072 0.2036 0.2463 0.7800 nan 0.7780 0.9572 0.0 0.4694 0.1562 nan 0.3721 0.0209 0.0 0.8907 0.0 0.0 nan 0.0 0.0 0.0 0.0 0.9140 0.0 0.2420 0.0000 0.0 nan 0.0 0.0765 0.0 0.0 0.9421 0.8619 0.9524 0.0 0.0 0.0008 0.0 nan 0.6090 0.7697 0.0 0.4229 0.1445 nan 0.2903 0.0208 0.0 0.7654 0.0 0.0 nan 0.0 0.0 0.0 0.0 0.5966 0.0 0.1859 0.0000 0.0 nan 0.0 0.0727 0.0 0.0 0.8061 0.7399 0.8871 0.0 0.0 0.0008 0.0
0.9753 1.8 360 0.7746 0.2153 0.2641 0.7867 nan 0.8023 0.9353 0.0 0.6272 0.2777 nan 0.4336 0.1660 0.0 0.9215 0.0 0.0 nan 0.0 0.0001 0.0 0.0 0.8746 0.0 0.3293 0.0026 0.0 nan 0.0 0.1379 0.0 0.0 0.9597 0.7740 0.9401 0.0 0.0 0.0042 0.0 nan 0.6029 0.8027 0.0 0.4873 0.2297 nan 0.3194 0.1551 0.0 0.7449 0.0 0.0 nan 0.0 0.0001 0.0 0.0 0.6383 0.0 0.2494 0.0026 0.0 nan 0.0 0.1280 0.0 0.0 0.7825 0.6509 0.8777 0.0 0.0 0.0042 0.0
0.4749 1.9 380 0.7667 0.2100 0.2617 0.7877 nan 0.8307 0.9286 0.0 0.6598 0.2633 nan 0.4358 0.0341 0.0 0.9003 0.0 0.0 nan 0.0 0.0 0.0 0.0 0.9166 0.0 0.3043 0.0007 0.0 nan 0.0 0.0742 0.0 0.0 0.9062 0.9248 0.9341 0.0 0.0 0.0004 0.0 nan 0.6254 0.8110 0.0 0.5224 0.2188 nan 0.3221 0.0340 0.0 0.7415 0.0 0.0 nan 0.0 0.0 0.0 0.0 0.5945 0.0 0.2276 0.0007 0.0 nan 0.0 0.0714 0.0 0.0 0.7916 0.6625 0.8869 0.0 0.0 0.0004 0.0
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0.343 8.6 1720 0.5699 0.3183 0.3813 0.8500 nan 0.8720 0.9460 0.6340 0.8164 0.5137 nan 0.5698 0.5619 0.0 0.9335 0.0 0.0 nan 0.0 0.5860 0.0 0.0 0.8936 0.0 0.5409 0.5306 0.0 nan 0.0 0.3632 0.0 0.0 0.9313 0.8939 0.9638 0.0 0.0 0.2693 0.0 nan 0.7295 0.8693 0.5551 0.6398 0.4015 nan 0.4431 0.4498 0.0 0.8168 0.0 0.0 nan 0.0 0.3764 0.0 0.0 0.6999 0.0 0.4146 0.4559 0.0 nan 0.0 0.2766 0.0 0.0 0.8478 0.7674 0.9199 0.0 0.0 0.2053 0.0
0.4636 8.7 1740 0.5700 0.3170 0.3791 0.8494 nan 0.8801 0.9435 0.6036 0.8067 0.5080 nan 0.5780 0.5943 0.0 0.9338 0.0 0.0 nan 0.0 0.5831 0.0 0.0 0.9054 0.0 0.5190 0.4826 0.0 nan 0.0 0.3532 0.0 0.0 0.9301 0.9133 0.9593 0.0 0.0 0.2595 0.0 nan 0.7261 0.8706 0.5399 0.6449 0.4018 nan 0.4455 0.4644 0.0 0.8180 0.0 0.0 nan 0.0 0.3798 0.0 0.0 0.7039 0.0 0.4047 0.4369 0.0 nan 0.0 0.2706 0.0 0.0 0.8422 0.7544 0.9215 0.0 0.0 0.2013 0.0
0.4121 8.8 1760 0.5690 0.3166 0.3770 0.8504 nan 0.8629 0.9514 0.6429 0.8294 0.4950 nan 0.5736 0.6034 0.0 0.9316 0.0 0.0 nan 0.0 0.5776 0.0 0.0 0.9107 0.0 0.5116 0.4527 0.0 nan 0.0 0.3313 0.0 0.0 0.9344 0.9031 0.9622 0.0 0.0 0.2129 0.0 nan 0.7339 0.8671 0.5670 0.6443 0.4004 nan 0.4438 0.4655 0.0 0.8183 0.0 0.0 nan 0.0 0.3821 0.0 0.0 0.7003 0.0 0.3945 0.4177 0.0 nan 0.0 0.2684 0.0 0.0 0.8459 0.7742 0.9209 0.0 0.0 0.1710 0.0
0.3737 8.9 1780 0.5611 0.3183 0.3813 0.8513 nan 0.8763 0.9429 0.6298 0.8213 0.5577 nan 0.5642 0.6243 0.0 0.9447 0.0 0.0 nan 0.0 0.5873 0.0 0.0 0.9152 0.0 0.5375 0.4555 0.0 nan 0.0 0.3414 0.0 0.0 0.9293 0.8930 0.9650 0.0 0.0 0.2335 0.0 nan 0.7321 0.8707 0.5613 0.6495 0.4244 nan 0.4409 0.4685 0.0 0.8063 0.0 0.0 nan 0.0 0.3790 0.0 0.0 0.7031 0.0 0.4053 0.4191 0.0 nan 0.0 0.2713 0.0 0.0 0.8502 0.7808 0.9205 0.0 0.0 0.1839 0.0
0.4408 9.0 1800 0.5686 0.3186 0.3868 0.8498 nan 0.8582 0.9370 0.6738 0.8667 0.5464 nan 0.5771 0.6496 0.0 0.9442 0.0 0.0 nan 0.0 0.5956 0.0 0.0 0.8915 0.0 0.5419 0.4507 0.0 nan 0.0 0.3632 0.0 0.0 0.9340 0.9020 0.9687 0.0 0.0 0.2900 0.0 nan 0.7299 0.8694 0.5746 0.6252 0.4206 nan 0.4388 0.4654 0.0 0.8066 0.0 0.0 nan 0.0 0.3746 0.0 0.0 0.7127 0.0 0.4090 0.4180 0.0 nan 0.0 0.2755 0.0 0.0 0.8474 0.7750 0.9177 0.0 0.0 0.2170 0.0
0.402 9.1 1820 0.5630 0.3196 0.3841 0.8521 nan 0.8595 0.9464 0.6812 0.8413 0.5551 nan 0.5696 0.6260 0.0 0.9382 0.0 0.0 nan 0.0 0.5894 0.0 0.0 0.8971 0.0 0.5589 0.4594 0.0 nan 0.0 0.3541 0.0 0.0 0.9363 0.8953 0.9632 0.0 0.0 0.2347 0.0 nan 0.7346 0.8703 0.5700 0.6527 0.4236 nan 0.4401 0.4699 0.0 0.8127 0.0 0.0 nan 0.0 0.3778 0.0 0.0 0.7121 0.0 0.4124 0.4193 0.0 nan 0.0 0.2748 0.0 0.0 0.8471 0.7811 0.9195 0.0 0.0 0.1880 0.0
0.3377 9.2 1840 0.5694 0.3185 0.3830 0.8509 nan 0.8655 0.9424 0.6606 0.8551 0.5115 nan 0.5671 0.6184 0.0 0.9379 0.0 0.0 nan 0.0 0.5804 0.0 0.0 0.9100 0.0 0.5601 0.4767 0.0 nan 0.0 0.3502 0.0 0.0 0.9300 0.9088 0.9670 0.0 0.0 0.2307 0.0 nan 0.7342 0.8710 0.5740 0.6386 0.4059 nan 0.4415 0.4724 0.0 0.8146 0.0 0.0 nan 0.0 0.3815 0.0 0.0 0.7064 0.0 0.4131 0.4315 0.0 nan 0.0 0.2729 0.0 0.0 0.8475 0.7661 0.9172 0.0 0.0 0.1850 0.0
0.4663 9.3 1860 0.5681 0.3192 0.3833 0.8511 nan 0.8702 0.9435 0.6699 0.8311 0.5039 nan 0.5762 0.5998 0.0 0.9349 0.0 0.0 nan 0.0 0.5908 0.0 0.0 0.8964 0.0 0.5619 0.5139 0.0 nan 0.0 0.3556 0.0 0.0 0.9378 0.8993 0.9672 0.0 0.0 0.2300 0.0 nan 0.7313 0.8702 0.5734 0.6435 0.3982 nan 0.4442 0.4682 0.0 0.8179 0.0 0.0 nan 0.0 0.3761 0.0 0.0 0.7091 0.0 0.4147 0.4523 0.0 nan 0.0 0.2746 0.0 0.0 0.8468 0.7747 0.9172 0.0 0.0 0.1845 0.0
0.419 9.4 1880 0.5703 0.3185 0.3821 0.8510 nan 0.8632 0.9463 0.6844 0.8301 0.5153 nan 0.5890 0.6125 0.0 0.9357 0.0 0.0 nan 0.0 0.5848 0.0 0.0 0.9128 0.0 0.4967 0.5189 0.0 nan 0.0 0.3516 0.0 0.0 0.9318 0.8924 0.9689 0.0 0.0 0.2100 0.0 nan 0.7324 0.8705 0.5729 0.6473 0.4037 nan 0.4476 0.4693 0.0 0.8170 0.0 0.0 nan 0.0 0.3798 0.0 0.0 0.6988 0.0 0.3785 0.4589 0.0 nan 0.0 0.2752 0.0 0.0 0.8501 0.7819 0.9173 0.0 0.0 0.1715 0.0
0.2796 9.5 1900 0.5678 0.3168 0.3808 0.8499 nan 0.8652 0.9410 0.6789 0.8372 0.5167 nan 0.5874 0.5978 0.0 0.9425 0.0 0.0 nan 0.0 0.5874 0.0 0.0 0.9008 0.0 0.4731 0.5021 0.0 nan 0.0 0.3488 0.0 0.0 0.9399 0.9032 0.9677 0.0 0.0 0.2138 0.0 nan 0.7294 0.8708 0.5725 0.6440 0.4041 nan 0.4481 0.4663 0.0 0.8105 0.0 0.0 nan 0.0 0.3794 0.0 0.0 0.7025 0.0 0.3640 0.4497 0.0 nan 0.0 0.2714 0.0 0.0 0.8454 0.7704 0.9170 0.0 0.0 0.1765 0.0
0.3892 9.6 1920 0.5666 0.3184 0.3817 0.8511 nan 0.8720 0.9433 0.6665 0.8238 0.5257 nan 0.5873 0.5904 0.0 0.9392 0.0 0.0 nan 0.0 0.5954 0.0 0.0 0.9039 0.0 0.5012 0.4987 0.0 nan 0.0 0.3520 0.0 0.0 0.9354 0.9017 0.9666 0.0 0.0 0.2303 0.0 nan 0.7313 0.8705 0.5718 0.6482 0.4098 nan 0.4498 0.4632 0.0 0.8137 0.0 0.0 nan 0.0 0.3740 0.0 0.0 0.7050 0.0 0.3821 0.4487 0.0 nan 0.0 0.2734 0.0 0.0 0.8476 0.7743 0.9187 0.0 0.0 0.1872 0.0
0.4762 9.7 1940 0.5650 0.3186 0.3821 0.8515 nan 0.8680 0.9457 0.6698 0.8232 0.5305 nan 0.5911 0.5940 0.0 0.9374 0.0 0.0 nan 0.0 0.5999 0.0 0.0 0.8884 0.0 0.4855 0.4855 0.0 nan 0.0 0.3632 0.0 0.0 0.9414 0.9042 0.9673 0.0 0.0 0.2512 0.0 nan 0.7347 0.8701 0.5730 0.6501 0.4141 nan 0.4509 0.4629 0.0 0.8150 0.0 0.0 nan 0.0 0.3703 0.0 0.0 0.7088 0.0 0.3807 0.4421 0.0 nan 0.0 0.2731 0.0 0.0 0.8434 0.7698 0.9171 0.0 0.0 0.1997 0.0
0.2866 9.8 1960 0.5644 0.3189 0.3818 0.8522 nan 0.8639 0.9487 0.6788 0.8166 0.5314 nan 0.5863 0.5961 0.0 0.9381 0.0 0.0 nan 0.0 0.6016 0.0 0.0 0.9010 0.0 0.5091 0.4735 0.0 nan 0.0 0.3538 0.0 0.0 0.9399 0.8958 0.9638 0.0 0.0 0.2383 0.0 nan 0.7381 0.8699 0.5739 0.6515 0.4167 nan 0.4503 0.4642 0.0 0.8143 0.0 0.0 nan 0.0 0.3707 0.0 0.0 0.7074 0.0 0.3888 0.4333 0.0 nan 0.0 0.2740 0.0 0.0 0.8448 0.7760 0.9199 0.0 0.0 0.1921 0.0
0.1857 9.9 1980 0.5650 0.3193 0.3828 0.8521 nan 0.8701 0.9477 0.6701 0.8152 0.5338 nan 0.5782 0.5986 0.0 0.9404 0.0 0.0 nan 0.0 0.6036 0.0 0.0 0.9080 0.0 0.5119 0.4885 0.0 nan 0.0 0.3618 0.0 0.0 0.9304 0.9003 0.9645 0.0 0.0 0.2422 0.0 nan 0.7346 0.8706 0.5727 0.6517 0.4164 nan 0.4489 0.4635 0.0 0.8113 0.0 0.0 nan 0.0 0.3693 0.0 0.0 0.7051 0.0 0.3929 0.4436 0.0 nan 0.0 0.2765 0.0 0.0 0.8485 0.7771 0.9204 0.0 0.0 0.1940 0.0
0.3021 10.0 2000 0.5644 0.3202 0.3861 0.8525 nan 0.8598 0.9440 0.6837 0.8295 0.5586 nan 0.6015 0.6019 0.0 0.9395 0.0 0.0 nan 0.0 0.6060 0.0 0.0 0.8961 0.0 0.5249 0.4892 0.0 nan 0.0 0.3733 0.0 0.0 0.9376 0.9033 0.9668 0.0 0.0 0.2540 0.0 nan 0.7395 0.8717 0.5750 0.6481 0.4281 nan 0.4534 0.4648 0.0 0.8127 0.0 0.0 nan 0.0 0.3687 0.0 0.0 0.7090 0.0 0.3987 0.4429 0.0 nan 0.0 0.2772 0.0 0.0 0.8463 0.7719 0.9189 0.0 0.0 0.2004 0.0

Framework versions

  • Transformers 4.35.2
  • Pytorch 2.1.0+cu121
  • Datasets 2.16.1
  • Tokenizers 0.15.0