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my-fine-tuned-model

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End of training

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  1. README.md +172 -0
  2. config.json +144 -0
  3. model.safetensors +3 -0
  4. preprocessor_config.json +23 -0
  5. runs/Jan21_03-49-14_jupyter-demo11/events.out.tfevents.1737431462.jupyter-demo11.163.0 +3 -0
  6. runs/Jan21_03-54-21_jupyter-demo11/events.out.tfevents.1737431703.jupyter-demo11.163.1 +3 -0
  7. training_args.bin +3 -0
README.md ADDED
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+ ---
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+ library_name: transformers
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+ license: other
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+ base_model: nvidia/segformer-b1-finetuned-ade-512-512
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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: my-fine-tuned-model
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+ results: []
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+ ---
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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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+
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+ # my-fine-tuned-model
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+
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+ This model is a fine-tuned version of [nvidia/segformer-b1-finetuned-ade-512-512](https://huggingface.co/nvidia/segformer-b1-finetuned-ade-512-512) on the segments/sidewalk-semantic dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 0.7904
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+ - Mean Iou: 0.1971
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+ - Mean Accuracy: 0.2386
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+ - Overall Accuracy: 0.8024
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+ - Accuracy Unlabeled: nan
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+ - Accuracy Flat-road: 0.8832
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+ - Accuracy Flat-sidewalk: 0.9527
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+ - Accuracy Flat-crosswalk: 0.1578
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+ - Accuracy Flat-cyclinglane: 0.6444
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+ - Accuracy Flat-parkingdriveway: 0.2996
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+ - Accuracy Flat-railtrack: nan
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+ - Accuracy Flat-curb: 0.0548
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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: 0.9162
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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: 0.9320
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+ - Accuracy Construction-door: 0.0
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+ - Accuracy Construction-wall: 0.0617
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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: nan
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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: 0.9229
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+ - Accuracy Nature-terrain: 0.8768
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+ - Accuracy Sky: 0.9321
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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: 0.0001
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+ - Accuracy Void-unclear: 0.0
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+ - Iou Unlabeled: nan
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+ - Iou Flat-road: 0.7059
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+ - Iou Flat-sidewalk: 0.8170
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+ - Iou Flat-crosswalk: 0.1578
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+ - Iou Flat-cyclinglane: 0.5477
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+ - Iou Flat-parkingdriveway: 0.2484
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+ - Iou Flat-railtrack: nan
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+ - Iou Flat-curb: 0.0545
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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: 0.7758
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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: 0.6064
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+ - Iou Construction-door: 0.0
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+ - Iou Construction-wall: 0.0615
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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: nan
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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: 0.7947
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+ - Iou Nature-terrain: 0.6688
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+ - Iou Sky: 0.8695
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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: 0.0001
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+ - Iou Void-unclear: 0.0
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+
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+ ## Model description
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+
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+ More information needed
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+
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+ ## Intended uses & limitations
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+
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+ More information needed
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+
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+ ## Training and evaluation data
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+
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+ More information needed
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+
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+ ## Training procedure
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+
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+ ### Training hyperparameters
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+
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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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+
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+ ### Training results
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+
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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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+ | 2.2158 | 0.05 | 20 | 2.0002 | 0.1531 | 0.1992 | 0.7335 | nan | 0.7769 | 0.9394 | 0.0635 | 0.1310 | 0.0121 | nan | 0.0022 | 0.0 | 0.0 | 0.8891 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.9233 | 0.0 | 0.0267 | 0.0 | 0.0 | nan | 0.0 | 0.0 | 0.0 | 0.0 | 0.8661 | 0.7970 | 0.9466 | 0.0004 | 0.0 | 0.0004 | 0.0 | nan | 0.5303 | 0.7439 | 0.0569 | 0.1245 | 0.0119 | nan | 0.0022 | 0.0 | 0.0 | 0.7091 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.5630 | 0.0 | 0.0258 | 0.0 | 0.0 | nan | 0.0 | 0.0 | 0.0 | 0.0 | 0.7539 | 0.5499 | 0.8267 | 0.0004 | 0.0 | 0.0004 | 0.0 |
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+ | 1.9582 | 0.1 | 40 | 1.7936 | 0.1581 | 0.2009 | 0.7419 | nan | 0.8227 | 0.9332 | 0.0754 | 0.1610 | 0.0083 | nan | 0.0019 | 0.0 | 0.0 | 0.8523 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.9115 | 0.0 | 0.0070 | 0.0 | 0.0 | nan | 0.0 | 0.0 | 0.0 | 0.0 | 0.9078 | 0.8206 | 0.9255 | 0.0 | 0.0 | 0.0 | 0.0 | nan | 0.5359 | 0.7551 | 0.0746 | 0.1510 | 0.0082 | nan | 0.0019 | 0.0 | 0.0 | 0.7279 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.5676 | 0.0 | 0.0070 | 0.0 | 0.0 | nan | 0.0 | 0.0 | 0.0 | 0.0 | 0.7635 | 0.6241 | 0.8425 | 0.0 | 0.0 | 0.0 | 0.0 |
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+ | 1.6049 | 0.15 | 60 | 1.7152 | 0.1631 | 0.2024 | 0.7411 | nan | 0.7410 | 0.9535 | 0.2960 | 0.2444 | 0.0052 | nan | 0.0007 | 0.0 | 0.0 | 0.8432 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.9100 | 0.0 | 0.0026 | 0.0 | 0.0 | nan | 0.0 | 0.0 | 0.0 | 0.0 | 0.9368 | 0.6248 | 0.9179 | 0.0 | 0.0 | 0.0 | 0.0 | nan | 0.5505 | 0.7411 | 0.2784 | 0.2050 | 0.0051 | nan | 0.0007 | 0.0 | 0.0 | 0.7346 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.5691 | 0.0 | 0.0026 | 0.0 | 0.0 | nan | 0.0 | 0.0 | 0.0 | 0.0 | 0.7421 | 0.5439 | 0.8453 | 0.0 | 0.0 | 0.0 | 0.0 |
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+ | 1.8093 | 0.2 | 80 | 1.5565 | 0.1622 | 0.2027 | 0.7460 | nan | 0.8047 | 0.9563 | 0.2692 | 0.0750 | 0.0141 | nan | 0.0009 | 0.0 | 0.0 | 0.8348 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.9073 | 0.0 | 0.0001 | 0.0 | 0.0 | nan | 0.0 | 0.0 | 0.0 | 0.0 | 0.9325 | 0.7803 | 0.9123 | 0.0 | 0.0 | 0.0 | 0.0 | nan | 0.5663 | 0.7517 | 0.2660 | 0.0734 | 0.0140 | nan | 0.0009 | 0.0 | 0.0 | 0.7257 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.5679 | 0.0 | 0.0001 | 0.0 | 0.0 | nan | 0.0 | 0.0 | 0.0 | 0.0 | 0.7579 | 0.6235 | 0.8433 | 0.0 | 0.0 | 0.0 | 0.0 |
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+ | 2.141 | 0.25 | 100 | 1.4687 | 0.1639 | 0.2031 | 0.7411 | nan | 0.6738 | 0.9693 | 0.2106 | 0.2394 | 0.0116 | nan | 0.0001 | 0.0 | 0.0 | 0.8568 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.9066 | 0.0 | 0.0001 | 0.0 | 0.0 | nan | 0.0 | 0.0 | 0.0 | 0.0 | 0.9310 | 0.7802 | 0.9198 | 0.0 | 0.0 | 0.0 | 0.0 | nan | 0.5383 | 0.7151 | 0.2098 | 0.2324 | 0.0116 | nan | 0.0001 | 0.0 | 0.0 | 0.7326 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.5692 | 0.0 | 0.0001 | 0.0 | 0.0 | nan | 0.0 | 0.0 | 0.0 | 0.0 | 0.7602 | 0.6314 | 0.8440 | 0.0 | 0.0 | 0.0 | 0.0 |
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+ | 1.3787 | 0.3 | 120 | 1.3942 | 0.1714 | 0.2137 | 0.7584 | nan | 0.8814 | 0.9357 | 0.3762 | 0.2179 | 0.0010 | nan | 0.0 | 0.0 | 0.0 | 0.8546 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.8849 | 0.0 | 0.0003 | 0.0 | 0.0 | nan | 0.0 | 0.0 | 0.0 | 0.0 | 0.9329 | 0.8229 | 0.9290 | 0.0 | 0.0 | 0.0 | 0.0 | nan | 0.5695 | 0.7813 | 0.3723 | 0.2134 | 0.0010 | nan | 0.0 | 0.0 | 0.0 | 0.7387 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.5913 | 0.0 | 0.0003 | 0.0 | 0.0 | nan | 0.0 | 0.0 | 0.0 | 0.0 | 0.7507 | 0.6194 | 0.8474 | 0.0 | 0.0 | 0.0 | 0.0 |
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+ | 2.1678 | 0.35 | 140 | 1.3191 | 0.1665 | 0.2078 | 0.7564 | nan | 0.8526 | 0.9400 | 0.1915 | 0.2378 | 0.0107 | nan | 0.0 | 0.0 | 0.0 | 0.8580 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.9124 | 0.0 | 0.0013 | 0.0 | 0.0 | nan | 0.0 | 0.0 | 0.0 | 0.0 | 0.9345 | 0.8012 | 0.9108 | 0.0 | 0.0 | 0.0 | 0.0 | nan | 0.5676 | 0.7800 | 0.1913 | 0.2243 | 0.0107 | nan | 0.0 | 0.0 | 0.0 | 0.7504 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.5772 | 0.0 | 0.0013 | 0.0 | 0.0 | nan | 0.0 | 0.0 | 0.0 | 0.0 | 0.7584 | 0.6144 | 0.8521 | 0.0 | 0.0 | 0.0 | 0.0 |
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+ | 1.5235 | 0.4 | 160 | 1.2587 | 0.1605 | 0.2009 | 0.7567 | nan | 0.9164 | 0.9411 | 0.0361 | 0.2337 | 0.0020 | nan | 0.0 | 0.0 | 0.0 | 0.8709 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.9204 | 0.0 | 0.0037 | 0.0 | 0.0 | nan | 0.0 | 0.0 | 0.0 | 0.0 | 0.9095 | 0.6843 | 0.9102 | 0.0 | 0.0 | 0.0000 | 0.0 | nan | 0.5686 | 0.7903 | 0.0361 | 0.2286 | 0.0019 | nan | 0.0 | 0.0 | 0.0 | 0.7445 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.5834 | 0.0 | 0.0037 | 0.0 | 0.0 | nan | 0.0 | 0.0 | 0.0 | 0.0 | 0.7660 | 0.5633 | 0.8495 | 0.0 | 0.0 | 0.0000 | 0.0 |
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+ | 1.2732 | 0.45 | 180 | 1.2095 | 0.1754 | 0.2165 | 0.7714 | nan | 0.8481 | 0.9572 | 0.2584 | 0.3755 | 0.0225 | nan | 0.0 | 0.0 | 0.0 | 0.8876 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.8993 | 0.0 | 0.0022 | 0.0 | 0.0 | nan | 0.0 | 0.0 | 0.0 | 0.0 | 0.9400 | 0.8131 | 0.9231 | 0.0 | 0.0 | 0.0 | 0.0 | nan | 0.6356 | 0.7788 | 0.2580 | 0.3514 | 0.0223 | nan | 0.0 | 0.0 | 0.0 | 0.7521 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.5918 | 0.0 | 0.0022 | 0.0 | 0.0 | nan | 0.0 | 0.0 | 0.0 | 0.0 | 0.7576 | 0.6086 | 0.8556 | 0.0 | 0.0 | 0.0 | 0.0 |
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+ | 1.5411 | 0.5 | 200 | 1.1710 | 0.1639 | 0.2054 | 0.7589 | nan | 0.8539 | 0.9510 | 0.0052 | 0.3140 | 0.0310 | nan | 0.0 | 0.0 | 0.0 | 0.8670 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.9263 | 0.0 | 0.0002 | 0.0 | 0.0 | nan | 0.0 | 0.0 | 0.0 | 0.0 | 0.8942 | 0.8270 | 0.9025 | 0.0 | 0.0 | 0.0 | 0.0 | nan | 0.5897 | 0.7696 | 0.0052 | 0.3098 | 0.0308 | nan | 0.0 | 0.0 | 0.0 | 0.7592 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.5790 | 0.0 | 0.0002 | 0.0 | 0.0 | nan | 0.0 | 0.0 | 0.0 | 0.0 | 0.7613 | 0.5892 | 0.8519 | 0.0 | 0.0 | 0.0 | 0.0 |
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+ | 1.062 | 0.55 | 220 | 1.1501 | 0.1693 | 0.2090 | 0.7668 | nan | 0.7840 | 0.9652 | 0.0006 | 0.5111 | 0.0228 | nan | 0.0001 | 0.0 | 0.0 | 0.8914 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.9286 | 0.0 | 0.0 | 0.0 | 0.0 | nan | 0.0 | 0.0 | 0.0 | 0.0 | 0.9232 | 0.7398 | 0.9217 | 0.0 | 0.0 | 0.0 | 0.0 | nan | 0.6406 | 0.7576 | 0.0006 | 0.4293 | 0.0226 | nan | 0.0001 | 0.0 | 0.0 | 0.7549 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.5749 | 0.0 | 0.0 | 0.0 | 0.0 | nan | 0.0 | 0.0 | 0.0 | 0.0 | 0.7704 | 0.6130 | 0.8535 | 0.0 | 0.0 | 0.0 | 0.0 |
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+ | 1.5911 | 0.6 | 240 | 1.0884 | 0.1690 | 0.2102 | 0.7700 | nan | 0.8598 | 0.9490 | 0.0 | 0.4066 | 0.0340 | nan | 0.0 | 0.0 | 0.0 | 0.8831 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.9139 | 0.0 | 0.0012 | 0.0 | 0.0 | nan | 0.0 | 0.0 | 0.0 | 0.0 | 0.9403 | 0.8172 | 0.9200 | 0.0 | 0.0 | 0.0 | 0.0 | nan | 0.6031 | 0.7894 | 0.0 | 0.3861 | 0.0336 | nan | 0.0 | 0.0 | 0.0 | 0.7476 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.5926 | 0.0 | 0.0012 | 0.0 | 0.0 | nan | 0.0 | 0.0 | 0.0 | 0.0 | 0.7638 | 0.6339 | 0.8554 | 0.0 | 0.0 | 0.0 | 0.0 |
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+ | 1.0154 | 0.65 | 260 | 1.0465 | 0.1734 | 0.2163 | 0.7802 | nan | 0.8796 | 0.9503 | 0.0 | 0.5320 | 0.0414 | nan | 0.0 | 0.0 | 0.0 | 0.9026 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.8953 | 0.0 | 0.0 | 0.0 | 0.0 | nan | 0.0 | 0.0 | 0.0 | 0.0 | 0.9402 | 0.8527 | 0.9278 | 0.0 | 0.0 | 0.0 | 0.0 | nan | 0.6237 | 0.8112 | 0.0 | 0.4723 | 0.0407 | nan | 0.0 | 0.0 | 0.0 | 0.7194 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.6077 | 0.0 | 0.0 | 0.0 | 0.0 | nan | 0.0 | 0.0 | 0.0 | 0.0 | 0.7606 | 0.6549 | 0.8580 | 0.0 | 0.0 | 0.0 | 0.0 |
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+ | 0.8996 | 0.7 | 280 | 1.0698 | 0.1697 | 0.2101 | 0.7711 | nan | 0.8725 | 0.9526 | 0.0 | 0.3816 | 0.0707 | nan | 0.0 | 0.0 | 0.0 | 0.8963 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.9135 | 0.0 | 0.0073 | 0.0 | 0.0 | nan | 0.0 | 0.0 | 0.0 | 0.0 | 0.9332 | 0.7679 | 0.9266 | 0.0 | 0.0 | 0.0 | 0.0 | nan | 0.6083 | 0.7907 | 0.0 | 0.3740 | 0.0688 | nan | 0.0 | 0.0 | 0.0 | 0.7335 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.5958 | 0.0 | 0.0073 | 0.0 | 0.0 | nan | 0.0 | 0.0 | 0.0 | 0.0 | 0.7608 | 0.6363 | 0.8548 | 0.0 | 0.0 | 0.0 | 0.0 |
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+ | 1.0455 | 0.75 | 300 | 0.9854 | 0.1772 | 0.2185 | 0.7836 | nan | 0.8979 | 0.9554 | 0.0 | 0.5260 | 0.1113 | nan | 0.0 | 0.0 | 0.0 | 0.8879 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.9399 | 0.0 | 0.0071 | 0.0 | 0.0 | nan | 0.0 | 0.0 | 0.0 | 0.0 | 0.8980 | 0.8530 | 0.9158 | 0.0 | 0.0 | 0.0002 | 0.0 | nan | 0.6647 | 0.8020 | 0.0 | 0.4660 | 0.1059 | nan | 0.0 | 0.0 | 0.0 | 0.7598 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.5839 | 0.0 | 0.0071 | 0.0 | 0.0 | nan | 0.0 | 0.0 | 0.0 | 0.0 | 0.7819 | 0.6468 | 0.8533 | 0.0 | 0.0 | 0.0002 | 0.0 |
140
+ | 1.1151 | 0.8 | 320 | 0.9950 | 0.1758 | 0.2160 | 0.7764 | nan | 0.7947 | 0.9710 | 0.0 | 0.5046 | 0.1048 | nan | 0.0 | 0.0 | 0.0 | 0.8942 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.9235 | 0.0 | 0.0114 | 0.0 | 0.0 | nan | 0.0 | 0.0 | 0.0 | 0.0 | 0.9203 | 0.8627 | 0.9265 | 0.0 | 0.0 | 0.0000 | 0.0 | nan | 0.6554 | 0.7652 | 0.0 | 0.4549 | 0.0997 | nan | 0.0 | 0.0 | 0.0 | 0.7722 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.5932 | 0.0 | 0.0114 | 0.0 | 0.0 | nan | 0.0 | 0.0 | 0.0 | 0.0 | 0.7800 | 0.6352 | 0.8593 | 0.0 | 0.0 | 0.0000 | 0.0 |
141
+ | 0.9324 | 0.85 | 340 | 0.9678 | 0.1777 | 0.2180 | 0.7848 | nan | 0.9175 | 0.9396 | 0.0 | 0.5899 | 0.0978 | nan | 0.0 | 0.0 | 0.0 | 0.8888 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.9113 | 0.0 | 0.0016 | 0.0 | 0.0 | nan | 0.0 | 0.0 | 0.0 | 0.0 | 0.9461 | 0.7715 | 0.9111 | 0.0 | 0.0 | 0.0001 | 0.0 | nan | 0.6241 | 0.8212 | 0.0 | 0.5332 | 0.0953 | nan | 0.0 | 0.0 | 0.0 | 0.7650 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.6052 | 0.0 | 0.0016 | 0.0 | 0.0 | nan | 0.0 | 0.0 | 0.0 | 0.0 | 0.7597 | 0.6233 | 0.8572 | 0.0 | 0.0 | 0.0001 | 0.0 |
142
+ | 1.2833 | 0.9 | 360 | 0.9499 | 0.1796 | 0.2219 | 0.7872 | nan | 0.8955 | 0.9492 | 0.0 | 0.6118 | 0.1297 | nan | 0.0000 | 0.0 | 0.0 | 0.9021 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.9220 | 0.0 | 0.0000 | 0.0 | 0.0 | nan | 0.0 | 0.0 | 0.0 | 0.0 | 0.9116 | 0.8733 | 0.9055 | 0.0 | 0.0 | 0.0000 | 0.0 | nan | 0.6470 | 0.8098 | 0.0 | 0.5469 | 0.1222 | nan | 0.0000 | 0.0 | 0.0 | 0.7614 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.6024 | 0.0 | 0.0000 | 0.0 | 0.0 | nan | 0.0 | 0.0 | 0.0 | 0.0 | 0.7813 | 0.6212 | 0.8554 | 0.0 | 0.0 | 0.0000 | 0.0 |
143
+ | 1.4176 | 0.95 | 380 | 0.9139 | 0.1787 | 0.2189 | 0.7850 | nan | 0.8862 | 0.9493 | 0.0 | 0.5835 | 0.0994 | nan | 0.0 | 0.0 | 0.0 | 0.9040 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.9214 | 0.0 | 0.0145 | 0.0 | 0.0 | nan | 0.0 | 0.0 | 0.0 | 0.0 | 0.9361 | 0.7945 | 0.9172 | 0.0 | 0.0 | 0.0 | 0.0 | nan | 0.6505 | 0.8022 | 0.0 | 0.5362 | 0.0952 | nan | 0.0 | 0.0 | 0.0 | 0.7533 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.5977 | 0.0 | 0.0145 | 0.0 | 0.0 | nan | 0.0 | 0.0 | 0.0 | 0.0 | 0.7687 | 0.6399 | 0.8597 | 0.0 | 0.0 | 0.0 | 0.0 |
144
+ | 1.5852 | 1.0 | 400 | 0.8985 | 0.1849 | 0.2264 | 0.7912 | nan | 0.8786 | 0.9434 | 0.0 | 0.6576 | 0.2217 | nan | 0.0001 | 0.0 | 0.0 | 0.8940 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.9119 | 0.0 | 0.0250 | 0.0 | 0.0 | nan | 0.0 | 0.0 | 0.0 | 0.0 | 0.9404 | 0.8480 | 0.9235 | 0.0 | 0.0 | 0.0 | 0.0 | nan | 0.6629 | 0.8125 | 0.0 | 0.5617 | 0.1965 | nan | 0.0001 | 0.0 | 0.0 | 0.7659 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.5939 | 0.0 | 0.0250 | 0.0 | 0.0 | nan | 0.0 | 0.0 | 0.0 | 0.0 | 0.7713 | 0.6680 | 0.8603 | 0.0 | 0.0 | 0.0 | 0.0 |
145
+ | 0.8892 | 1.05 | 420 | 0.8932 | 0.1843 | 0.2256 | 0.7896 | nan | 0.8623 | 0.9523 | 0.0011 | 0.6176 | 0.2245 | nan | 0.0001 | 0.0 | 0.0 | 0.8965 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.9049 | 0.0 | 0.0278 | 0.0 | 0.0 | nan | 0.0 | 0.0 | 0.0 | 0.0 | 0.9322 | 0.8637 | 0.9378 | 0.0 | 0.0 | 0.0 | 0.0 | nan | 0.6605 | 0.8028 | 0.0011 | 0.5392 | 0.1996 | nan | 0.0001 | 0.0 | 0.0 | 0.7690 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.5957 | 0.0 | 0.0278 | 0.0 | 0.0 | nan | 0.0 | 0.0 | 0.0 | 0.0 | 0.7779 | 0.6651 | 0.8598 | 0.0 | 0.0 | 0.0 | 0.0 |
146
+ | 1.3728 | 1.1 | 440 | 0.8947 | 0.1843 | 0.2250 | 0.7871 | nan | 0.9545 | 0.9133 | 0.0012 | 0.5891 | 0.2055 | nan | 0.0 | 0.0 | 0.0 | 0.8904 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.9167 | 0.0 | 0.0283 | 0.0 | 0.0 | nan | 0.0 | 0.0 | 0.0 | 0.0 | 0.9387 | 0.8453 | 0.9164 | 0.0 | 0.0 | 0.0 | 0.0 | nan | 0.6190 | 0.8164 | 0.0012 | 0.5548 | 0.1853 | nan | 0.0 | 0.0 | 0.0 | 0.7669 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.5998 | 0.0 | 0.0283 | 0.0 | 0.0 | nan | 0.0 | 0.0 | 0.0 | 0.0 | 0.7810 | 0.6808 | 0.8625 | 0.0 | 0.0 | 0.0 | 0.0 |
147
+ | 1.0203 | 1.15 | 460 | 0.9012 | 0.1921 | 0.2356 | 0.7922 | nan | 0.8315 | 0.9509 | 0.2213 | 0.6239 | 0.3029 | nan | 0.0024 | 0.0 | 0.0 | 0.9204 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.9208 | 0.0 | 0.0254 | 0.0 | 0.0 | nan | 0.0 | 0.0 | 0.0 | 0.0 | 0.9207 | 0.8916 | 0.9264 | 0.0 | 0.0 | 0.0 | 0.0 | nan | 0.6787 | 0.8015 | 0.2210 | 0.5011 | 0.2456 | nan | 0.0024 | 0.0 | 0.0 | 0.7583 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.6075 | 0.0 | 0.0254 | 0.0 | 0.0 | nan | 0.0 | 0.0 | 0.0 | 0.0 | 0.7875 | 0.6509 | 0.8660 | 0.0 | 0.0 | 0.0 | 0.0 |
148
+ | 0.745 | 1.2 | 480 | 0.8717 | 0.1869 | 0.2290 | 0.7920 | nan | 0.8772 | 0.9436 | 0.0284 | 0.6182 | 0.2724 | nan | 0.0006 | 0.0 | 0.0 | 0.8924 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.9175 | 0.0 | 0.0259 | 0.0 | 0.0 | nan | 0.0 | 0.0 | 0.0 | 0.0 | 0.9304 | 0.8811 | 0.9417 | 0.0 | 0.0 | 0.0000 | 0.0 | nan | 0.6584 | 0.8095 | 0.0284 | 0.5318 | 0.2370 | nan | 0.0006 | 0.0 | 0.0 | 0.7819 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.6033 | 0.0 | 0.0258 | 0.0 | 0.0 | nan | 0.0 | 0.0 | 0.0 | 0.0 | 0.7810 | 0.6620 | 0.8620 | 0.0 | 0.0 | 0.0000 | 0.0 |
149
+ | 0.7155 | 1.25 | 500 | 0.8794 | 0.1859 | 0.2252 | 0.7909 | nan | 0.8482 | 0.9649 | 0.0539 | 0.5716 | 0.1992 | nan | 0.0016 | 0.0 | 0.0 | 0.8988 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.9152 | 0.0 | 0.0215 | 0.0 | 0.0 | nan | 0.0 | 0.0 | 0.0 | 0.0 | 0.9366 | 0.8641 | 0.9314 | 0.0 | 0.0 | 0.0 | 0.0 | nan | 0.6828 | 0.7895 | 0.0539 | 0.5263 | 0.1845 | nan | 0.0016 | 0.0 | 0.0 | 0.7764 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.6057 | 0.0 | 0.0215 | 0.0 | 0.0 | nan | 0.0 | 0.0 | 0.0 | 0.0 | 0.7760 | 0.6661 | 0.8655 | 0.0 | 0.0 | 0.0 | 0.0 |
150
+ | 0.9982 | 1.3 | 520 | 0.8429 | 0.1871 | 0.2279 | 0.7960 | nan | 0.8970 | 0.9526 | 0.0260 | 0.6037 | 0.2279 | nan | 0.0033 | 0.0 | 0.0 | 0.8983 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.9289 | 0.0 | 0.0241 | 0.0 | 0.0 | nan | 0.0 | 0.0 | 0.0 | 0.0 | 0.9292 | 0.8674 | 0.9357 | 0.0 | 0.0 | 0.0001 | 0.0 | nan | 0.6937 | 0.8117 | 0.0260 | 0.5243 | 0.2086 | nan | 0.0033 | 0.0 | 0.0 | 0.7755 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.5998 | 0.0 | 0.0240 | 0.0 | 0.0 | nan | 0.0 | 0.0 | 0.0 | 0.0 | 0.7822 | 0.6708 | 0.8660 | 0.0 | 0.0 | 0.0001 | 0.0 |
151
+ | 0.8799 | 1.35 | 540 | 0.8768 | 0.1917 | 0.2324 | 0.7897 | nan | 0.7844 | 0.9697 | 0.2185 | 0.6217 | 0.2031 | nan | 0.0325 | 0.0 | 0.0 | 0.9088 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.9296 | 0.0 | 0.0496 | 0.0 | 0.0 | nan | 0.0 | 0.0 | 0.0 | 0.0 | 0.9237 | 0.8568 | 0.9379 | 0.0 | 0.0 | 0.0001 | 0.0 | nan | 0.6748 | 0.7878 | 0.2181 | 0.5009 | 0.1795 | nan | 0.0324 | 0.0 | 0.0 | 0.7791 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.6018 | 0.0 | 0.0495 | 0.0 | 0.0 | nan | 0.0 | 0.0 | 0.0 | 0.0 | 0.7859 | 0.6572 | 0.8671 | 0.0 | 0.0 | 0.0001 | 0.0 |
152
+ | 0.8828 | 1.4 | 560 | 0.8434 | 0.1894 | 0.2302 | 0.7972 | nan | 0.9184 | 0.9432 | 0.0183 | 0.6022 | 0.2673 | nan | 0.0111 | 0.0 | 0.0 | 0.9107 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.9249 | 0.0 | 0.0546 | 0.0 | 0.0 | nan | 0.0 | 0.0 | 0.0 | 0.0 | 0.9298 | 0.8666 | 0.9198 | 0.0 | 0.0 | 0.0 | 0.0 | nan | 0.6739 | 0.8188 | 0.0183 | 0.5527 | 0.2330 | nan | 0.0111 | 0.0 | 0.0 | 0.7679 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.6061 | 0.0 | 0.0545 | 0.0 | 0.0 | nan | 0.0 | 0.0 | 0.0 | 0.0 | 0.7853 | 0.6722 | 0.8666 | 0.0 | 0.0 | 0.0 | 0.0 |
153
+ | 0.7109 | 1.45 | 580 | 0.8446 | 0.1888 | 0.2287 | 0.7958 | nan | 0.9046 | 0.9491 | 0.0234 | 0.5846 | 0.2557 | nan | 0.0237 | 0.0 | 0.0 | 0.9040 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.9350 | 0.0 | 0.0319 | 0.0 | 0.0 | nan | 0.0 | 0.0 | 0.0 | 0.0 | 0.9252 | 0.8524 | 0.9280 | 0.0 | 0.0 | 0.0001 | 0.0 | nan | 0.6886 | 0.8083 | 0.0234 | 0.5422 | 0.2245 | nan | 0.0236 | 0.0 | 0.0 | 0.7800 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.5940 | 0.0 | 0.0318 | 0.0 | 0.0 | nan | 0.0 | 0.0 | 0.0 | 0.0 | 0.7896 | 0.6663 | 0.8682 | 0.0 | 0.0 | 0.0001 | 0.0 |
154
+ | 0.6376 | 1.5 | 600 | 0.8241 | 0.1950 | 0.2351 | 0.7978 | nan | 0.8681 | 0.9553 | 0.2132 | 0.6129 | 0.2591 | nan | 0.0365 | 0.0 | 0.0 | 0.9054 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.9224 | 0.0 | 0.0459 | 0.0 | 0.0 | nan | 0.0 | 0.0 | 0.0 | 0.0 | 0.9393 | 0.8464 | 0.9175 | 0.0 | 0.0 | 0.0002 | 0.0 | nan | 0.7154 | 0.8030 | 0.2132 | 0.5123 | 0.2207 | nan | 0.0364 | 0.0 | 0.0 | 0.7835 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.6049 | 0.0 | 0.0459 | 0.0 | 0.0 | nan | 0.0 | 0.0 | 0.0 | 0.0 | 0.7838 | 0.6536 | 0.8663 | 0.0 | 0.0 | 0.0002 | 0.0 |
155
+ | 2.0863 | 1.55 | 620 | 0.8111 | 0.1975 | 0.2385 | 0.8017 | nan | 0.9070 | 0.9445 | 0.2170 | 0.6419 | 0.2979 | nan | 0.0290 | 0.0 | 0.0 | 0.8965 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.9324 | 0.0 | 0.0476 | 0.0 | 0.0 | nan | 0.0 | 0.0 | 0.0 | 0.0 | 0.9269 | 0.8618 | 0.9290 | 0.0 | 0.0 | 0.0002 | 0.0 | nan | 0.7148 | 0.8169 | 0.2169 | 0.5451 | 0.2434 | nan | 0.0289 | 0.0 | 0.0 | 0.7905 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.5985 | 0.0 | 0.0476 | 0.0 | 0.0 | nan | 0.0 | 0.0 | 0.0 | 0.0 | 0.7916 | 0.6579 | 0.8680 | 0.0 | 0.0 | 0.0002 | 0.0 |
156
+ | 0.7588 | 1.6 | 640 | 0.8296 | 0.1957 | 0.2362 | 0.7990 | nan | 0.8626 | 0.9585 | 0.2290 | 0.6241 | 0.2442 | nan | 0.0407 | 0.0 | 0.0 | 0.9154 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.9145 | 0.0 | 0.0422 | 0.0 | 0.0 | nan | 0.0 | 0.0 | 0.0 | 0.0 | 0.9395 | 0.8623 | 0.9250 | 0.0 | 0.0 | 0.0000 | 0.0 | nan | 0.7204 | 0.8034 | 0.2288 | 0.5230 | 0.2075 | nan | 0.0406 | 0.0 | 0.0 | 0.7778 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.6111 | 0.0 | 0.0422 | 0.0 | 0.0 | nan | 0.0 | 0.0 | 0.0 | 0.0 | 0.7804 | 0.6591 | 0.8679 | 0.0 | 0.0 | 0.0000 | 0.0 |
157
+ | 0.7944 | 1.65 | 660 | 0.8116 | 0.1940 | 0.2339 | 0.8012 | nan | 0.9103 | 0.9586 | 0.1498 | 0.5954 | 0.2507 | nan | 0.0125 | 0.0 | 0.0 | 0.9178 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.9103 | 0.0 | 0.0682 | 0.0 | 0.0 | nan | 0.0 | 0.0 | 0.0 | 0.0 | 0.9307 | 0.8486 | 0.9309 | 0.0 | 0.0 | 0.0 | 0.0 | nan | 0.7133 | 0.8061 | 0.1498 | 0.5379 | 0.2224 | nan | 0.0124 | 0.0 | 0.0 | 0.7591 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.6230 | 0.0 | 0.0680 | 0.0 | 0.0 | nan | 0.0 | 0.0 | 0.0 | 0.0 | 0.7894 | 0.6574 | 0.8689 | 0.0 | 0.0 | 0.0 | 0.0 |
158
+ | 1.8619 | 1.7 | 680 | 0.8039 | 0.1971 | 0.2373 | 0.8025 | nan | 0.8975 | 0.9554 | 0.2199 | 0.6051 | 0.2695 | nan | 0.0293 | 0.0 | 0.0 | 0.9198 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.9172 | 0.0 | 0.0560 | 0.0 | 0.0 | nan | 0.0 | 0.0 | 0.0 | 0.0 | 0.9373 | 0.8605 | 0.9261 | 0.0 | 0.0 | 0.0001 | 0.0 | nan | 0.7182 | 0.8107 | 0.2199 | 0.5415 | 0.2326 | nan | 0.0292 | 0.0 | 0.0 | 0.7668 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.6161 | 0.0 | 0.0558 | 0.0 | 0.0 | nan | 0.0 | 0.0 | 0.0 | 0.0 | 0.7847 | 0.6620 | 0.8691 | 0.0 | 0.0 | 0.0001 | 0.0 |
159
+ | 0.8539 | 1.75 | 700 | 0.8175 | 0.1966 | 0.2368 | 0.8003 | nan | 0.8667 | 0.9584 | 0.2116 | 0.6096 | 0.2763 | nan | 0.0486 | 0.0 | 0.0 | 0.9172 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.9217 | 0.0 | 0.0456 | 0.0 | 0.0 | nan | 0.0 | 0.0 | 0.0 | 0.0 | 0.9392 | 0.8528 | 0.9288 | 0.0 | 0.0 | 0.0002 | 0.0 | nan | 0.7175 | 0.8058 | 0.2115 | 0.5323 | 0.2330 | nan | 0.0484 | 0.0 | 0.0 | 0.7753 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.6080 | 0.0 | 0.0455 | 0.0 | 0.0 | nan | 0.0 | 0.0 | 0.0 | 0.0 | 0.7844 | 0.6611 | 0.8694 | 0.0 | 0.0 | 0.0002 | 0.0 |
160
+ | 0.7426 | 1.8 | 720 | 0.8064 | 0.1938 | 0.2344 | 0.8010 | nan | 0.8945 | 0.9508 | 0.0902 | 0.6194 | 0.2880 | nan | 0.0378 | 0.0 | 0.0 | 0.9096 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.9219 | 0.0 | 0.0522 | 0.0 | 0.0 | nan | 0.0 | 0.0 | 0.0 | 0.0 | 0.9407 | 0.8678 | 0.9269 | 0.0 | 0.0 | 0.0002 | 0.0 | nan | 0.7005 | 0.8164 | 0.0902 | 0.5469 | 0.2466 | nan | 0.0376 | 0.0 | 0.0 | 0.7779 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.6096 | 0.0 | 0.0520 | 0.0 | 0.0 | nan | 0.0 | 0.0 | 0.0 | 0.0 | 0.7832 | 0.6712 | 0.8693 | 0.0 | 0.0 | 0.0002 | 0.0 |
161
+ | 1.0662 | 1.85 | 740 | 0.8011 | 0.1961 | 0.2363 | 0.8021 | nan | 0.8727 | 0.9602 | 0.1683 | 0.6350 | 0.2551 | nan | 0.0520 | 0.0 | 0.0 | 0.9103 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.9225 | 0.0 | 0.0461 | 0.0 | 0.0 | nan | 0.0 | 0.0 | 0.0 | 0.0 | 0.9380 | 0.8760 | 0.9266 | 0.0 | 0.0 | 0.0000 | 0.0 | nan | 0.7122 | 0.8122 | 0.1683 | 0.5470 | 0.2262 | nan | 0.0518 | 0.0 | 0.0 | 0.7820 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.6108 | 0.0 | 0.0460 | 0.0 | 0.0 | nan | 0.0 | 0.0 | 0.0 | 0.0 | 0.7836 | 0.6664 | 0.8688 | 0.0 | 0.0 | 0.0000 | 0.0 |
162
+ | 0.6911 | 1.9 | 760 | 0.8008 | 0.1970 | 0.2373 | 0.8022 | nan | 0.8719 | 0.9617 | 0.1760 | 0.6339 | 0.2651 | nan | 0.0487 | 0.0 | 0.0 | 0.9136 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.9253 | 0.0 | 0.0656 | 0.0 | 0.0 | nan | 0.0 | 0.0 | 0.0 | 0.0 | 0.9275 | 0.8688 | 0.9371 | 0.0 | 0.0 | 0.0002 | 0.0 | nan | 0.7080 | 0.8110 | 0.1760 | 0.5442 | 0.2302 | nan | 0.0485 | 0.0 | 0.0 | 0.7801 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.6118 | 0.0 | 0.0653 | 0.0 | 0.0 | nan | 0.0 | 0.0 | 0.0 | 0.0 | 0.7916 | 0.6685 | 0.8696 | 0.0 | 0.0 | 0.0002 | 0.0 |
163
+ | 0.6667 | 1.95 | 780 | 0.7993 | 0.1984 | 0.2393 | 0.8023 | nan | 0.8612 | 0.9593 | 0.2034 | 0.6467 | 0.2867 | nan | 0.0726 | 0.0 | 0.0 | 0.9167 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.9315 | 0.0 | 0.0501 | 0.0 | 0.0 | nan | 0.0 | 0.0 | 0.0 | 0.0 | 0.9256 | 0.8703 | 0.9331 | 0.0 | 0.0 | 0.0003 | 0.0 | nan | 0.7144 | 0.8127 | 0.2034 | 0.5399 | 0.2391 | nan | 0.0723 | 0.0 | 0.0 | 0.7800 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.6042 | 0.0 | 0.0500 | 0.0 | 0.0 | nan | 0.0 | 0.0 | 0.0 | 0.0 | 0.7931 | 0.6698 | 0.8697 | 0.0 | 0.0 | 0.0003 | 0.0 |
164
+ | 0.8987 | 2.0 | 800 | 0.7904 | 0.1971 | 0.2386 | 0.8024 | nan | 0.8832 | 0.9527 | 0.1578 | 0.6444 | 0.2996 | nan | 0.0548 | 0.0 | 0.0 | 0.9162 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.9320 | 0.0 | 0.0617 | 0.0 | 0.0 | nan | 0.0 | 0.0 | 0.0 | 0.0 | 0.9229 | 0.8768 | 0.9321 | 0.0 | 0.0 | 0.0001 | 0.0 | nan | 0.7059 | 0.8170 | 0.1578 | 0.5477 | 0.2484 | nan | 0.0545 | 0.0 | 0.0 | 0.7758 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.6064 | 0.0 | 0.0615 | 0.0 | 0.0 | nan | 0.0 | 0.0 | 0.0 | 0.0 | 0.7947 | 0.6688 | 0.8695 | 0.0 | 0.0 | 0.0001 | 0.0 |
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+
166
+
167
+ ### Framework versions
168
+
169
+ - Transformers 4.48.0
170
+ - Pytorch 2.1.1+cu118
171
+ - Datasets 3.2.0
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+ - Tokenizers 0.21.0
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