End of training
Browse files- README.md +171 -0
- config.json +143 -0
- model.safetensors +3 -0
- preprocessor_config.json +23 -0
- training_args.bin +3 -0
README.md
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---
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library_name: transformers
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base_model: pretrained_model_name
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tags:
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- vision
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- image-segmentation
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- generated_from_trainer
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model-index:
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- name: segformer-b0-finetuned-segments-sidewalk-2
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results: []
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---
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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should probably proofread and complete it, then remove this comment. -->
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# segformer-b0-finetuned-segments-sidewalk-2
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This model is a fine-tuned version of [pretrained_model_name](https://huggingface.co/pretrained_model_name) on the segments/sidewalk-semantic dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.9318
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- Mean Iou: 0.1574
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- Mean Accuracy: 0.1994
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- Overall Accuracy: 0.7668
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- Accuracy Unlabeled: nan
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- Accuracy Flat-road: 0.8689
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- Accuracy Flat-sidewalk: 0.9484
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- Accuracy Flat-crosswalk: 0.0
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- Accuracy Flat-cyclinglane: 0.5015
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- Accuracy Flat-parkingdriveway: 0.0118
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- Accuracy Flat-railtrack: 0.0
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- Accuracy Flat-curb: 0.0
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- Accuracy Human-person: 0.0
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- Accuracy Human-rider: 0.0
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- Accuracy Vehicle-car: 0.8879
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- Accuracy Vehicle-truck: 0.0
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- Accuracy Vehicle-bus: 0.0
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- Accuracy Vehicle-tramtrain: 0.0
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- Accuracy Vehicle-motorcycle: 0.0
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- Accuracy Vehicle-bicycle: 0.0
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- Accuracy Vehicle-caravan: 0.0
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- Accuracy Vehicle-cartrailer: 0.0
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- Accuracy Construction-building: 0.8895
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- Accuracy Construction-door: 0.0
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- Accuracy Construction-wall: 0.0
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- Accuracy Construction-fenceguardrail: 0.0
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- Accuracy Construction-bridge: 0.0
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- Accuracy Construction-tunnel: 0.0
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- Accuracy Construction-stairs: 0.0
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- Accuracy Object-pole: 0.0
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- Accuracy Object-trafficsign: 0.0
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- Accuracy Object-trafficlight: 0.0
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- Accuracy Nature-vegetation: 0.9372
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- Accuracy Nature-terrain: 0.8070
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- Accuracy Sky: 0.9258
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- Accuracy Void-ground: 0.0
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- Accuracy Void-dynamic: 0.0
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- Accuracy Void-static: 0.0
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- Accuracy Void-unclear: 0.0
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- Iou Unlabeled: nan
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- Iou Flat-road: 0.5983
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- Iou Flat-sidewalk: 0.7913
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- Iou Flat-crosswalk: 0.0
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- Iou Flat-cyclinglane: 0.4760
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- Iou Flat-parkingdriveway: 0.0117
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- Iou Flat-railtrack: 0.0
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- Iou Flat-curb: 0.0
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- Iou Human-person: 0.0
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- Iou Human-rider: 0.0
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- Iou Vehicle-car: 0.6842
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- Iou Vehicle-truck: 0.0
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- Iou Vehicle-bus: 0.0
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- Iou Vehicle-tramtrain: 0.0
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- Iou Vehicle-motorcycle: 0.0
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- Iou Vehicle-bicycle: 0.0
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- Iou Vehicle-caravan: 0.0
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- Iou Vehicle-cartrailer: 0.0
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- Iou Construction-building: 0.5394
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- Iou Construction-door: 0.0
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- Iou Construction-wall: 0.0
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- Iou Construction-fenceguardrail: 0.0
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- Iou Construction-bridge: 0.0
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- Iou Construction-tunnel: 0.0
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- Iou Construction-stairs: 0.0
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- Iou Object-pole: 0.0
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- Iou Object-trafficsign: 0.0
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- Iou Object-trafficlight: 0.0
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- Iou Nature-vegetation: 0.7925
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- Iou Nature-terrain: 0.6357
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- Iou Sky: 0.8218
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- Iou Void-ground: 0.0
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- Iou Void-dynamic: 0.0
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- Iou Void-static: 0.0
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- Iou Void-unclear: 0.0
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## Model description
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More information needed
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## Intended uses & limitations
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More information needed
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## Training and evaluation data
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More information needed
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## Training procedure
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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate: 6e-05
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- train_batch_size: 2
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- eval_batch_size: 2
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- seed: 42
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- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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- lr_scheduler_type: linear
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- num_epochs: 2
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### Training results
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| 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 |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|:-------------:|:----------------:|:------------------:|:------------------:|:----------------------:|:-----------------------:|:-------------------------:|:-----------------------------:|:-----------------------:|:------------------:|:---------------------:|:--------------------:|:--------------------:|:----------------------:|:--------------------:|:--------------------------:|:---------------------------:|:------------------------:|:------------------------:|:---------------------------:|:------------------------------:|:--------------------------:|:--------------------------:|:------------------------------------:|:----------------------------:|:----------------------------:|:----------------------------:|:--------------------:|:---------------------------:|:----------------------------:|:--------------------------:|:-----------------------:|:------------:|:--------------------:|:---------------------:|:--------------------:|:---------------------:|:-------------:|:-------------:|:-----------------:|:------------------:|:--------------------:|:------------------------:|:------------------:|:-------------:|:----------------:|:---------------:|:---------------:|:-----------------:|:---------------:|:---------------------:|:----------------------:|:-------------------:|:-------------------:|:----------------------:|:-------------------------:|:---------------------:|:---------------------:|:-------------------------------:|:-----------------------:|:-----------------------:|:-----------------------:|:---------------:|:----------------------:|:-----------------------:|:---------------------:|:------------------:|:-------:|:---------------:|:----------------:|:---------------:|:----------------:|
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| 3.0121 | 0.05 | 20 | 3.2051 | 0.0715 | 0.1161 | 0.5499 | nan | 0.2271 | 0.8331 | 0.0 | 0.0034 | 0.0152 | 0.0 | 0.0 | 0.0 | 0.0 | 0.6998 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.8031 | 0.0 | 0.0008 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.9122 | 0.0579 | 0.3930 | 0.0 | 0.0 | 0.0000 | 0.0 | 0.0 | 0.1879 | 0.5784 | 0.0 | 0.0034 | 0.0132 | 0.0 | 0.0 | 0.0 | 0.0 | 0.4207 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.2923 | 0.0 | 0.0008 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.6196 | 0.0429 | 0.3425 | 0.0 | 0.0 | 0.0000 | 0.0 |
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| 2.4574 | 0.1 | 40 | 2.3972 | 0.0898 | 0.1343 | 0.5989 | nan | 0.2409 | 0.9266 | 0.0 | 0.0002 | 0.0018 | 0.0 | 0.0 | 0.0 | 0.0 | 0.8717 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.8243 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.8739 | 0.3707 | 0.4554 | 0.0 | 0.0 | 0.0 | 0.0 | nan | 0.1989 | 0.5723 | 0.0 | 0.0002 | 0.0018 | 0.0 | 0.0 | 0.0 | 0.0 | 0.4603 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.4150 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.6861 | 0.2795 | 0.4398 | 0.0 | 0.0 | 0.0 | 0.0 |
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| 2.2526 | 0.15 | 60 | 2.1035 | 0.1068 | 0.1532 | 0.6450 | nan | 0.5346 | 0.9003 | 0.0 | 0.0 | 0.0009 | 0.0 | 0.0 | 0.0 | 0.0 | 0.8713 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.8382 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.9055 | 0.4196 | 0.7392 | 0.0 | 0.0 | 0.0 | 0.0 | nan | 0.3832 | 0.6253 | 0.0 | 0.0 | 0.0009 | 0.0 | 0.0 | 0.0 | 0.0 | 0.4631 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.4563 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.7142 | 0.3137 | 0.6760 | 0.0 | 0.0 | 0.0 | 0.0 |
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| 2.0063 | 0.2 | 80 | 1.9647 | 0.1103 | 0.1557 | 0.6617 | nan | 0.6366 | 0.9038 | 0.0 | 0.0004 | 0.0002 | 0.0 | 0.0 | 0.0 | 0.0 | 0.7976 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.8720 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.9323 | 0.3499 | 0.8013 | 0.0 | 0.0 | 0.0 | 0.0 | nan | 0.4323 | 0.6691 | 0.0 | 0.0004 | 0.0002 | 0.0 | 0.0 | 0.0 | 0.0 | 0.5189 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.4518 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.7048 | 0.2656 | 0.7066 | 0.0 | 0.0 | 0.0 | 0.0 |
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| 1.8506 | 0.25 | 100 | 1.7593 | 0.1193 | 0.1664 | 0.6793 | nan | 0.7330 | 0.8892 | 0.0 | 0.0009 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.8503 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.8105 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.9473 | 0.5456 | 0.8795 | 0.0 | 0.0 | 0.0 | 0.0 | nan | 0.4502 | 0.6776 | 0.0 | 0.0009 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.5525 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.4805 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.7323 | 0.4208 | 0.7421 | 0.0 | 0.0 | 0.0 | 0.0 |
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| 1.5607 | 0.3 | 120 | 1.6274 | 0.1239 | 0.1706 | 0.6869 | nan | 0.7258 | 0.8926 | 0.0 | 0.0207 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.8619 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.8674 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.9326 | 0.6165 | 0.8834 | 0.0 | 0.0 | 0.0 | 0.0 | nan | 0.4536 | 0.6895 | 0.0 | 0.0207 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.5639 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.4743 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.7454 | 0.4945 | 0.7712 | 0.0 | 0.0 | 0.0 | 0.0 |
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| 1.306 | 0.35 | 140 | 1.5786 | 0.1247 | 0.1716 | 0.6887 | nan | 0.7598 | 0.8869 | 0.0 | 0.0086 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.8176 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.8673 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.9306 | 0.6645 | 0.8976 | 0.0 | 0.0 | 0.0 | 0.0 | nan | 0.4370 | 0.7152 | 0.0 | 0.0086 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.5606 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.4595 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.7578 | 0.5428 | 0.7580 | 0.0 | 0.0 | 0.0 | 0.0 |
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| 1.575 | 0.4 | 160 | 1.5082 | 0.1288 | 0.1752 | 0.6996 | nan | 0.7417 | 0.9080 | 0.0 | 0.0709 | 0.0000 | 0.0 | 0.0 | 0.0 | 0.0 | 0.7931 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.8809 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.9249 | 0.7570 | 0.8812 | 0.0 | 0.0 | 0.0 | 0.0 | nan | 0.5026 | 0.6995 | 0.0 | 0.0708 | 0.0000 | 0.0 | 0.0 | 0.0 | 0.0 | 0.5966 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.4679 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.7603 | 0.4979 | 0.7831 | 0.0 | 0.0 | 0.0 | 0.0 |
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| 1.6042 | 0.45 | 180 | 1.4727 | 0.1287 | 0.1787 | 0.6995 | nan | 0.8500 | 0.8738 | 0.0 | 0.0384 | 0.0000 | 0.0 | 0.0 | 0.0 | 0.0 | 0.8816 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.8469 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.9079 | 0.7637 | 0.9126 | 0.0 | 0.0 | 0.0 | 0.0 | nan | 0.4520 | 0.7393 | 0.0 | 0.0384 | 0.0000 | 0.0 | 0.0 | 0.0 | 0.0 | 0.5698 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.4946 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.7624 | 0.5407 | 0.7774 | 0.0 | 0.0 | 0.0 | 0.0 |
|
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| 1.4266 | 0.5 | 200 | 1.3875 | 0.1306 | 0.1762 | 0.7031 | nan | 0.7264 | 0.9328 | 0.0 | 0.0343 | 0.0003 | 0.0 | 0.0 | 0.0 | 0.0 | 0.8636 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.8814 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.9016 | 0.7596 | 0.8893 | 0.0 | 0.0 | 0.0 | 0.0 | nan | 0.5032 | 0.6913 | 0.0 | 0.0343 | 0.0003 | 0.0 | 0.0 | 0.0 | 0.0 | 0.6075 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.4831 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.7766 | 0.5517 | 0.7924 | 0.0 | 0.0 | 0.0 | 0.0 |
|
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| 2.1122 | 0.55 | 220 | 1.3270 | 0.1328 | 0.1805 | 0.7105 | nan | 0.8744 | 0.8741 | 0.0 | 0.1523 | 0.0000 | 0.0 | 0.0 | 0.0 | 0.0 | 0.8563 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.7965 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.9594 | 0.7025 | 0.9218 | 0.0 | 0.0 | 0.0 | 0.0 | nan | 0.4650 | 0.7567 | 0.0 | 0.1523 | 0.0000 | 0.0 | 0.0 | 0.0 | 0.0 | 0.6124 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.5071 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.7412 | 0.5084 | 0.7720 | 0.0 | 0.0 | 0.0 | 0.0 |
|
135 |
+
| 1.3171 | 0.6 | 240 | 1.2920 | 0.1391 | 0.1886 | 0.7254 | nan | 0.7889 | 0.9304 | 0.0 | 0.3131 | 0.0003 | 0.0 | 0.0 | 0.0 | 0.0 | 0.9044 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.8646 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.8537 | 0.8551 | 0.9024 | 0.0 | 0.0 | 0.0 | 0.0 | nan | 0.5584 | 0.7367 | 0.0 | 0.3089 | 0.0003 | 0.0 | 0.0 | 0.0 | 0.0 | 0.5828 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.5003 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.7534 | 0.5025 | 0.7871 | 0.0 | 0.0 | 0.0 | 0.0 |
|
136 |
+
| 1.7291 | 0.65 | 260 | 1.2315 | 0.1451 | 0.1894 | 0.7364 | nan | 0.8327 | 0.9268 | 0.0 | 0.3435 | 0.0000 | 0.0 | 0.0 | 0.0 | 0.0 | 0.8411 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.8883 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.9039 | 0.8075 | 0.8963 | 0.0 | 0.0 | 0.0 | 0.0 | nan | 0.5462 | 0.7501 | 0.0 | 0.3407 | 0.0000 | 0.0 | 0.0 | 0.0 | 0.0 | 0.6396 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.4953 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.7818 | 0.5866 | 0.7929 | 0.0 | 0.0 | 0.0 | 0.0 |
|
137 |
+
| 1.4373 | 0.7 | 280 | 1.1735 | 0.1435 | 0.1888 | 0.7379 | nan | 0.8262 | 0.9417 | 0.0 | 0.3482 | 0.0000 | 0.0 | 0.0 | 0.0 | 0.0 | 0.9282 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.8520 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.9055 | 0.7118 | 0.9042 | 0.0 | 0.0 | 0.0 | 0.0 | nan | 0.5570 | 0.7486 | 0.0 | 0.3453 | 0.0000 | 0.0 | 0.0 | 0.0 | 0.0 | 0.5719 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.5217 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.7796 | 0.5634 | 0.7926 | 0.0 | 0.0 | 0.0 | 0.0 |
|
138 |
+
| 1.3842 | 0.75 | 300 | 1.1702 | 0.1466 | 0.1923 | 0.7440 | nan | 0.8228 | 0.9429 | 0.0 | 0.4033 | 0.0003 | 0.0 | 0.0 | 0.0 | 0.0 | 0.8944 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.8752 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.8953 | 0.8006 | 0.9032 | 0.0 | 0.0 | 0.0 | 0.0 | nan | 0.5734 | 0.7599 | 0.0 | 0.3954 | 0.0003 | 0.0 | 0.0 | 0.0 | 0.0 | 0.6037 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.5149 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.7754 | 0.5717 | 0.7900 | 0.0 | 0.0 | 0.0 | 0.0 |
|
139 |
+
| 1.8302 | 0.8 | 320 | 1.1554 | 0.1474 | 0.1912 | 0.7443 | nan | 0.8402 | 0.9093 | 0.0 | 0.4951 | 0.0003 | 0.0 | 0.0 | 0.0 | 0.0 | 0.8403 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.8897 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.9543 | 0.6583 | 0.9150 | 0.0 | 0.0 | 0.0 | 0.0 | nan | 0.5629 | 0.7798 | 0.0 | 0.4551 | 0.0003 | 0.0 | 0.0 | 0.0 | 0.0 | 0.6264 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.4946 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.7540 | 0.5530 | 0.7861 | 0.0 | 0.0 | 0.0 | 0.0 |
|
140 |
+
| 1.0734 | 0.85 | 340 | 1.1194 | 0.1497 | 0.1952 | 0.7499 | nan | 0.8367 | 0.9363 | 0.0 | 0.4375 | 0.0002 | 0.0 | 0.0 | 0.0 | 0.0 | 0.8998 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.8566 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.9168 | 0.8314 | 0.9208 | 0.0 | 0.0 | 0.0 | 0.0 | nan | 0.5623 | 0.7669 | 0.0 | 0.4207 | 0.0002 | 0.0 | 0.0 | 0.0 | 0.0 | 0.6308 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.5362 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.7792 | 0.5933 | 0.7986 | 0.0 | 0.0 | 0.0 | 0.0 |
|
141 |
+
| 1.1957 | 0.9 | 360 | 1.1065 | 0.1488 | 0.1951 | 0.7433 | nan | 0.8849 | 0.8898 | 0.0 | 0.4485 | 0.0006 | 0.0 | 0.0 | 0.0 | 0.0 | 0.9043 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.8774 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.9276 | 0.7874 | 0.9128 | 0.0 | 0.0 | 0.0 | 0.0 | nan | 0.5175 | 0.7792 | 0.0 | 0.4225 | 0.0006 | 0.0 | 0.0 | 0.0 | 0.0 | 0.6156 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.5221 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.7878 | 0.6150 | 0.8002 | 0.0 | 0.0 | 0.0 | 0.0 |
|
142 |
+
| 1.0868 | 0.95 | 380 | 1.0887 | 0.1505 | 0.1912 | 0.7471 | nan | 0.7503 | 0.9557 | 0.0 | 0.4570 | 0.0006 | 0.0 | 0.0 | 0.0 | 0.0 | 0.8680 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.9006 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.9330 | 0.7527 | 0.8823 | 0.0 | 0.0 | 0.0 | 0.0 | nan | 0.5592 | 0.7452 | 0.0 | 0.4208 | 0.0006 | 0.0 | 0.0 | 0.0 | 0.0 | 0.6647 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.5208 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.7882 | 0.6068 | 0.8093 | 0.0 | 0.0 | 0.0 | 0.0 |
|
143 |
+
| 1.6125 | 1.0 | 400 | 1.0484 | 0.1512 | 0.1960 | 0.7522 | nan | 0.8825 | 0.9225 | 0.0 | 0.4567 | 0.0003 | 0.0 | 0.0 | 0.0 | 0.0 | 0.9052 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.8529 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.9259 | 0.7985 | 0.9192 | 0.0 | 0.0 | 0.0 | 0.0 | nan | 0.5386 | 0.7864 | 0.0 | 0.4375 | 0.0002 | 0.0 | 0.0 | 0.0 | 0.0 | 0.6381 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.5396 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.7843 | 0.6077 | 0.8088 | 0.0 | 0.0 | 0.0 | 0.0 |
|
144 |
+
| 1.3332 | 1.05 | 420 | 1.0294 | 0.1523 | 0.1942 | 0.7545 | nan | 0.8265 | 0.9434 | 0.0 | 0.4805 | 0.0010 | 0.0 | 0.0 | 0.0 | 0.0 | 0.8711 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.8838 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.9403 | 0.7424 | 0.9143 | 0.0 | 0.0 | 0.0 | 0.0 | nan | 0.5748 | 0.7724 | 0.0 | 0.4583 | 0.0010 | 0.0 | 0.0 | 0.0 | 0.0 | 0.6613 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.5187 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.7815 | 0.6039 | 0.8060 | 0.0 | 0.0 | 0.0 | 0.0 |
|
145 |
+
| 1.5885 | 1.1 | 440 | 1.0505 | 0.1499 | 0.1920 | 0.7495 | nan | 0.7691 | 0.9622 | 0.0 | 0.4316 | 0.0013 | 0.0 | 0.0 | 0.0 | 0.0 | 0.8800 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.8616 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.9372 | 0.7558 | 0.9277 | 0.0 | 0.0 | 0.0 | 0.0 | nan | 0.6003 | 0.7422 | 0.0 | 0.4224 | 0.0013 | 0.0 | 0.0 | 0.0 | 0.0 | 0.6559 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.5292 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.7671 | 0.5738 | 0.8056 | 0.0 | 0.0 | 0.0 | 0.0 |
|
146 |
+
| 1.1033 | 1.15 | 460 | 1.0482 | 0.1515 | 0.1969 | 0.7561 | nan | 0.8663 | 0.9229 | 0.0 | 0.5067 | 0.0023 | 0.0 | 0.0 | 0.0 | 0.0 | 0.9063 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.8891 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.9342 | 0.7461 | 0.9213 | 0.0 | 0.0 | 0.0 | 0.0 | nan | 0.5763 | 0.7942 | 0.0 | 0.4699 | 0.0023 | 0.0 | 0.0 | 0.0 | 0.0 | 0.6265 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.5243 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.7818 | 0.5704 | 0.8047 | 0.0 | 0.0 | 0.0 | 0.0 |
|
147 |
+
| 1.2376 | 1.2 | 480 | 0.9907 | 0.1534 | 0.1969 | 0.7586 | nan | 0.8626 | 0.9393 | 0.0 | 0.4765 | 0.0025 | 0.0 | 0.0 | 0.0 | 0.0 | 0.9009 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.8797 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.9293 | 0.7922 | 0.9122 | 0.0 | 0.0 | 0.0 | 0.0 | nan | 0.5706 | 0.7866 | 0.0 | 0.4577 | 0.0025 | 0.0 | 0.0 | 0.0 | 0.0 | 0.6607 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.5378 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.7847 | 0.6058 | 0.8099 | 0.0 | 0.0 | 0.0 | 0.0 |
|
148 |
+
| 1.0037 | 1.25 | 500 | 1.0006 | 0.1525 | 0.1966 | 0.7568 | nan | 0.8847 | 0.9340 | 0.0 | 0.4579 | 0.0030 | 0.0 | 0.0 | 0.0 | 0.0 | 0.8884 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.8794 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.9192 | 0.7929 | 0.9262 | 0.0 | 0.0 | 0.0 | 0.0 | nan | 0.5564 | 0.7956 | 0.0 | 0.4466 | 0.0030 | 0.0 | 0.0 | 0.0 | 0.0 | 0.6583 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.5336 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.7866 | 0.5935 | 0.8109 | 0.0 | 0.0 | 0.0 | 0.0 |
|
149 |
+
| 0.8961 | 1.3 | 520 | 0.9965 | 0.1544 | 0.1962 | 0.7588 | nan | 0.8673 | 0.9513 | 0.0 | 0.4645 | 0.0023 | 0.0 | 0.0 | 0.0 | 0.0 | 0.8450 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.8991 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.9055 | 0.8151 | 0.9210 | 0.0 | 0.0 | 0.0 | 0.0 | nan | 0.5845 | 0.7805 | 0.0 | 0.4501 | 0.0023 | 0.0 | 0.0 | 0.0 | 0.0 | 0.6823 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.5185 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.7941 | 0.6295 | 0.8089 | 0.0 | 0.0 | 0.0 | 0.0 |
|
150 |
+
| 1.2659 | 1.35 | 540 | 0.9665 | 0.1559 | 0.2002 | 0.7642 | nan | 0.8463 | 0.9409 | 0.0 | 0.5501 | 0.0044 | 0.0 | 0.0 | 0.0 | 0.0 | 0.8996 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.8849 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.9281 | 0.8278 | 0.9255 | 0.0 | 0.0 | 0.0 | 0.0 | nan | 0.5940 | 0.7939 | 0.0 | 0.5013 | 0.0044 | 0.0 | 0.0 | 0.0 | 0.0 | 0.6566 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.5310 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.7871 | 0.6206 | 0.8107 | 0.0 | 0.0 | 0.0 | 0.0 |
|
151 |
+
| 1.0982 | 1.4 | 560 | 0.9850 | 0.1539 | 0.1970 | 0.7600 | nan | 0.8854 | 0.9320 | 0.0 | 0.4731 | 0.0035 | 0.0 | 0.0 | 0.0 | 0.0 | 0.8824 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.8859 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.9415 | 0.7702 | 0.9236 | 0.0 | 0.0 | 0.0 | 0.0 | nan | 0.5686 | 0.7967 | 0.0 | 0.4556 | 0.0035 | 0.0 | 0.0 | 0.0 | 0.0 | 0.6691 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.5330 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.7864 | 0.6114 | 0.8084 | 0.0 | 0.0 | 0.0 | 0.0 |
|
152 |
+
| 0.9199 | 1.45 | 580 | 0.9775 | 0.1562 | 0.1975 | 0.7638 | nan | 0.8526 | 0.9460 | 0.0 | 0.5063 | 0.0117 | 0.0 | 0.0 | 0.0 | 0.0 | 0.8880 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.9058 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.9427 | 0.7703 | 0.8906 | 0.0 | 0.0 | 0.0 | 0.0 | nan | 0.5977 | 0.7834 | 0.0 | 0.4762 | 0.0116 | 0.0 | 0.0 | 0.0 | 0.0 | 0.6786 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.5343 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.7931 | 0.6229 | 0.8139 | 0.0 | 0.0 | 0.0 | 0.0 |
|
153 |
+
| 1.18 | 1.5 | 600 | 0.9614 | 0.1566 | 0.1999 | 0.7651 | nan | 0.8643 | 0.9444 | 0.0 | 0.5169 | 0.0076 | 0.0 | 0.0 | 0.0 | 0.0 | 0.9066 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.8853 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.9254 | 0.8260 | 0.9211 | 0.0 | 0.0 | 0.0 | 0.0 | nan | 0.5910 | 0.7880 | 0.0 | 0.4789 | 0.0075 | 0.0 | 0.0 | 0.0 | 0.0 | 0.6639 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.5430 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.7985 | 0.6359 | 0.8160 | 0.0 | 0.0 | 0.0 | 0.0 |
|
154 |
+
| 1.0018 | 1.55 | 620 | 0.9561 | 0.1559 | 0.1999 | 0.7646 | nan | 0.8482 | 0.9371 | 0.0 | 0.5618 | 0.0125 | 0.0 | 0.0 | 0.0 | 0.0 | 0.9039 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.8892 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.9396 | 0.7710 | 0.9336 | 0.0 | 0.0 | 0.0 | 0.0 | nan | 0.5921 | 0.7961 | 0.0 | 0.4994 | 0.0124 | 0.0 | 0.0 | 0.0 | 0.0 | 0.6519 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.5342 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.7899 | 0.6146 | 0.8114 | 0.0 | 0.0 | 0.0 | 0.0 |
|
155 |
+
| 1.2407 | 1.6 | 640 | 0.9485 | 0.1569 | 0.1990 | 0.7655 | nan | 0.8720 | 0.9414 | 0.0 | 0.5204 | 0.0036 | 0.0 | 0.0 | 0.0 | 0.0 | 0.8939 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.8930 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.9382 | 0.7939 | 0.9093 | 0.0 | 0.0 | 0.0 | 0.0 | nan | 0.5839 | 0.7950 | 0.0 | 0.4856 | 0.0036 | 0.0 | 0.0 | 0.0 | 0.0 | 0.6771 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.5381 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.7942 | 0.6388 | 0.8179 | 0.0 | 0.0 | 0.0 | 0.0 |
|
156 |
+
| 1.9654 | 1.65 | 660 | 0.9485 | 0.1573 | 0.1998 | 0.7642 | nan | 0.8749 | 0.9361 | 0.0 | 0.5410 | 0.0040 | 0.0 | 0.0 | 0.0 | 0.0 | 0.8645 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.9020 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.9214 | 0.8284 | 0.9216 | 0.0 | 0.0 | 0.0 | 0.0 | nan | 0.5784 | 0.7939 | 0.0 | 0.4909 | 0.0039 | 0.0 | 0.0 | 0.0 | 0.0 | 0.6952 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.5320 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.7975 | 0.6365 | 0.8209 | 0.0 | 0.0 | 0.0 | 0.0 |
|
157 |
+
| 0.9202 | 1.7 | 680 | 0.9327 | 0.1570 | 0.1996 | 0.7649 | nan | 0.8746 | 0.9393 | 0.0 | 0.5136 | 0.0063 | 0.0 | 0.0 | 0.0 | 0.0 | 0.8742 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.9002 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.9291 | 0.8316 | 0.9163 | 0.0 | 0.0 | 0.0 | 0.0 | nan | 0.5860 | 0.7933 | 0.0 | 0.4807 | 0.0063 | 0.0 | 0.0 | 0.0 | 0.0 | 0.6877 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.5350 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.7966 | 0.6295 | 0.8220 | 0.0 | 0.0 | 0.0 | 0.0 |
|
158 |
+
| 1.5064 | 1.75 | 700 | 0.9305 | 0.1557 | 0.1987 | 0.7650 | nan | 0.8746 | 0.9420 | 0.0 | 0.5082 | 0.0044 | 0.0 | 0.0 | 0.0 | 0.0 | 0.9001 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.8607 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.9499 | 0.7841 | 0.9311 | 0.0 | 0.0 | 0.0 | 0.0 | nan | 0.5905 | 0.7950 | 0.0 | 0.4787 | 0.0044 | 0.0 | 0.0 | 0.0 | 0.0 | 0.6616 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.5482 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.7777 | 0.6234 | 0.8155 | 0.0 | 0.0 | 0.0 | 0.0 |
|
159 |
+
| 0.9806 | 1.8 | 720 | 0.9289 | 0.1565 | 0.2001 | 0.7657 | nan | 0.8747 | 0.9412 | 0.0 | 0.5171 | 0.0063 | 0.0 | 0.0 | 0.0 | 0.0 | 0.8950 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.8818 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.9310 | 0.8209 | 0.9366 | 0.0 | 0.0 | 0.0 | 0.0 | nan | 0.5897 | 0.7943 | 0.0 | 0.4820 | 0.0063 | 0.0 | 0.0 | 0.0 | 0.0 | 0.6716 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.5422 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.7941 | 0.6275 | 0.8150 | 0.0 | 0.0 | 0.0 | 0.0 |
|
160 |
+
| 1.3995 | 1.85 | 740 | 0.9427 | 0.1569 | 0.1997 | 0.7655 | nan | 0.8686 | 0.9454 | 0.0 | 0.5040 | 0.0111 | 0.0 | 0.0 | 0.0 | 0.0 | 0.8918 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.9074 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.9210 | 0.8175 | 0.9246 | 0.0 | 0.0 | 0.0 | 0.0 | nan | 0.5975 | 0.7928 | 0.0 | 0.4749 | 0.0110 | 0.0 | 0.0 | 0.0 | 0.0 | 0.6760 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.5285 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.8008 | 0.6342 | 0.8179 | 0.0 | 0.0 | 0.0 | 0.0 |
|
161 |
+
| 0.8194 | 1.9 | 760 | 0.9331 | 0.1567 | 0.2001 | 0.7654 | nan | 0.8728 | 0.9448 | 0.0 | 0.4979 | 0.0122 | 0.0 | 0.0 | 0.0 | 0.0 | 0.8907 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.9026 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.9180 | 0.8365 | 0.9265 | 0.0 | 0.0 | 0.0 | 0.0 | nan | 0.5943 | 0.7930 | 0.0 | 0.4715 | 0.0121 | 0.0 | 0.0 | 0.0 | 0.0 | 0.6821 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.5344 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.7996 | 0.6210 | 0.8210 | 0.0 | 0.0 | 0.0 | 0.0 |
|
162 |
+
| 0.8659 | 1.95 | 780 | 0.9291 | 0.1571 | 0.1998 | 0.7669 | nan | 0.8656 | 0.9484 | 0.0 | 0.5035 | 0.0142 | 0.0 | 0.0 | 0.0 | 0.0 | 0.9017 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.8874 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.9352 | 0.8104 | 0.9272 | 0.0 | 0.0 | 0.0 | 0.0 | nan | 0.6015 | 0.7913 | 0.0 | 0.4774 | 0.0140 | 0.0 | 0.0 | 0.0 | 0.0 | 0.6710 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.5418 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.7927 | 0.6314 | 0.8208 | 0.0 | 0.0 | 0.0 | 0.0 |
|
163 |
+
| 0.878 | 2.0 | 800 | 0.9318 | 0.1574 | 0.1994 | 0.7668 | nan | 0.8689 | 0.9484 | 0.0 | 0.5015 | 0.0118 | 0.0 | 0.0 | 0.0 | 0.0 | 0.8879 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.8895 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.9372 | 0.8070 | 0.9258 | 0.0 | 0.0 | 0.0 | 0.0 | nan | 0.5983 | 0.7913 | 0.0 | 0.4760 | 0.0117 | 0.0 | 0.0 | 0.0 | 0.0 | 0.6842 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.5394 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.7925 | 0.6357 | 0.8218 | 0.0 | 0.0 | 0.0 | 0.0 |
|
164 |
+
|
165 |
+
|
166 |
+
### Framework versions
|
167 |
+
|
168 |
+
- Transformers 4.50.3
|
169 |
+
- Pytorch 2.6.0+cu124
|
170 |
+
- Datasets 3.5.0
|
171 |
+
- Tokenizers 0.21.1
|
config.json
ADDED
@@ -0,0 +1,143 @@
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|
1 |
+
{
|
2 |
+
"architectures": [
|
3 |
+
"SegformerForSemanticSegmentation"
|
4 |
+
],
|
5 |
+
"attention_probs_dropout_prob": 0.0,
|
6 |
+
"classifier_dropout_prob": 0.1,
|
7 |
+
"decoder_hidden_size": 256,
|
8 |
+
"depths": [
|
9 |
+
2,
|
10 |
+
2,
|
11 |
+
2,
|
12 |
+
2
|
13 |
+
],
|
14 |
+
"downsampling_rates": [
|
15 |
+
1,
|
16 |
+
4,
|
17 |
+
8,
|
18 |
+
16
|
19 |
+
],
|
20 |
+
"drop_path_rate": 0.1,
|
21 |
+
"hidden_act": "gelu",
|
22 |
+
"hidden_dropout_prob": 0.0,
|
23 |
+
"hidden_sizes": [
|
24 |
+
32,
|
25 |
+
64,
|
26 |
+
160,
|
27 |
+
256
|
28 |
+
],
|
29 |
+
"id2label": {
|
30 |
+
"0": "unlabeled",
|
31 |
+
"1": "flat-road",
|
32 |
+
"2": "flat-sidewalk",
|
33 |
+
"3": "flat-crosswalk",
|
34 |
+
"4": "flat-cyclinglane",
|
35 |
+
"5": "flat-parkingdriveway",
|
36 |
+
"6": "flat-railtrack",
|
37 |
+
"7": "flat-curb",
|
38 |
+
"8": "human-person",
|
39 |
+
"9": "human-rider",
|
40 |
+
"10": "vehicle-car",
|
41 |
+
"11": "vehicle-truck",
|
42 |
+
"12": "vehicle-bus",
|
43 |
+
"13": "vehicle-tramtrain",
|
44 |
+
"14": "vehicle-motorcycle",
|
45 |
+
"15": "vehicle-bicycle",
|
46 |
+
"16": "vehicle-caravan",
|
47 |
+
"17": "vehicle-cartrailer",
|
48 |
+
"18": "construction-building",
|
49 |
+
"19": "construction-door",
|
50 |
+
"20": "construction-wall",
|
51 |
+
"21": "construction-fenceguardrail",
|
52 |
+
"22": "construction-bridge",
|
53 |
+
"23": "construction-tunnel",
|
54 |
+
"24": "construction-stairs",
|
55 |
+
"25": "object-pole",
|
56 |
+
"26": "object-trafficsign",
|
57 |
+
"27": "object-trafficlight",
|
58 |
+
"28": "nature-vegetation",
|
59 |
+
"29": "nature-terrain",
|
60 |
+
"30": "sky",
|
61 |
+
"31": "void-ground",
|
62 |
+
"32": "void-dynamic",
|
63 |
+
"33": "void-static",
|
64 |
+
"34": "void-unclear"
|
65 |
+
},
|
66 |
+
"image_size": 224,
|
67 |
+
"initializer_range": 0.02,
|
68 |
+
"label2id": {
|
69 |
+
"construction-bridge": 22,
|
70 |
+
"construction-building": 18,
|
71 |
+
"construction-door": 19,
|
72 |
+
"construction-fenceguardrail": 21,
|
73 |
+
"construction-stairs": 24,
|
74 |
+
"construction-tunnel": 23,
|
75 |
+
"construction-wall": 20,
|
76 |
+
"flat-crosswalk": 3,
|
77 |
+
"flat-curb": 7,
|
78 |
+
"flat-cyclinglane": 4,
|
79 |
+
"flat-parkingdriveway": 5,
|
80 |
+
"flat-railtrack": 6,
|
81 |
+
"flat-road": 1,
|
82 |
+
"flat-sidewalk": 2,
|
83 |
+
"human-person": 8,
|
84 |
+
"human-rider": 9,
|
85 |
+
"nature-terrain": 29,
|
86 |
+
"nature-vegetation": 28,
|
87 |
+
"object-pole": 25,
|
88 |
+
"object-trafficlight": 27,
|
89 |
+
"object-trafficsign": 26,
|
90 |
+
"sky": 30,
|
91 |
+
"unlabeled": 0,
|
92 |
+
"vehicle-bicycle": 15,
|
93 |
+
"vehicle-bus": 12,
|
94 |
+
"vehicle-car": 10,
|
95 |
+
"vehicle-caravan": 16,
|
96 |
+
"vehicle-cartrailer": 17,
|
97 |
+
"vehicle-motorcycle": 14,
|
98 |
+
"vehicle-tramtrain": 13,
|
99 |
+
"vehicle-truck": 11,
|
100 |
+
"void-dynamic": 32,
|
101 |
+
"void-ground": 31,
|
102 |
+
"void-static": 33,
|
103 |
+
"void-unclear": 34
|
104 |
+
},
|
105 |
+
"layer_norm_eps": 1e-06,
|
106 |
+
"mlp_ratios": [
|
107 |
+
4,
|
108 |
+
4,
|
109 |
+
4,
|
110 |
+
4
|
111 |
+
],
|
112 |
+
"model_type": "segformer",
|
113 |
+
"num_attention_heads": [
|
114 |
+
1,
|
115 |
+
2,
|
116 |
+
5,
|
117 |
+
8
|
118 |
+
],
|
119 |
+
"num_channels": 3,
|
120 |
+
"num_encoder_blocks": 4,
|
121 |
+
"patch_sizes": [
|
122 |
+
7,
|
123 |
+
3,
|
124 |
+
3,
|
125 |
+
3
|
126 |
+
],
|
127 |
+
"reshape_last_stage": true,
|
128 |
+
"semantic_loss_ignore_index": 255,
|
129 |
+
"sr_ratios": [
|
130 |
+
8,
|
131 |
+
4,
|
132 |
+
2,
|
133 |
+
1
|
134 |
+
],
|
135 |
+
"strides": [
|
136 |
+
4,
|
137 |
+
2,
|
138 |
+
2,
|
139 |
+
2
|
140 |
+
],
|
141 |
+
"torch_dtype": "float32",
|
142 |
+
"transformers_version": "4.50.3"
|
143 |
+
}
|
model.safetensors
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:212bfc70be943b01a59f64cec337ae096420f599409650140ddfb8299d72d7f4
|
3 |
+
size 14918708
|
preprocessor_config.json
ADDED
@@ -0,0 +1,23 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
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|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"do_normalize": true,
|
3 |
+
"do_reduce_labels": false,
|
4 |
+
"do_rescale": true,
|
5 |
+
"do_resize": true,
|
6 |
+
"image_mean": [
|
7 |
+
0.485,
|
8 |
+
0.456,
|
9 |
+
0.406
|
10 |
+
],
|
11 |
+
"image_processor_type": "SegformerFeatureExtractor",
|
12 |
+
"image_std": [
|
13 |
+
0.229,
|
14 |
+
0.224,
|
15 |
+
0.225
|
16 |
+
],
|
17 |
+
"resample": 2,
|
18 |
+
"rescale_factor": 0.00392156862745098,
|
19 |
+
"size": {
|
20 |
+
"height": 512,
|
21 |
+
"width": 512
|
22 |
+
}
|
23 |
+
}
|
training_args.bin
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:b4edb7d45ad53a91a70de182f0f25c9b87ae4538b1d6e70a2d5305a19bb718df
|
3 |
+
size 5432
|