Hugging Face's logo

karthik540
/
segformer-b0-finetuned-segments-sidewalk-2

Image Segmentation
Transformers
Safetensors
segformer
vision
generated_from_trainer
Inference Endpoints
Model card Files Community
Edit model card

segformer-b0-finetuned-segments-sidewalk-2

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: 2.4429
  • Mean Iou: 0.0127
  • Mean Accuracy: 0.0289
  • Overall Accuracy: 0.2813
  • Accuracy Unlabeled: nan
  • Accuracy Flat-road: 0.0012
  • Accuracy Flat-sidewalk: 0.7342
  • Accuracy Flat-crosswalk: 0.0
  • Accuracy Flat-cyclinglane: 0.0
  • Accuracy Flat-parkingdriveway: 0.0
  • Accuracy Flat-railtrack: 0.0
  • Accuracy Flat-curb: 0.0
  • Accuracy Human-person: 0.0
  • Accuracy Human-rider: 0.0
  • Accuracy Vehicle-car: 0.0
  • Accuracy Vehicle-truck: 0.0
  • Accuracy Vehicle-bus: 0.0
  • Accuracy Vehicle-tramtrain: 0.0
  • Accuracy Vehicle-motorcycle: 0.0
  • Accuracy Vehicle-bicycle: 0.0
  • Accuracy Vehicle-caravan: 0.0
  • Accuracy Vehicle-cartrailer: 0.0
  • Accuracy Construction-building: 0.0538
  • Accuracy Construction-door: 0.0
  • Accuracy Construction-wall: 0.0
  • Accuracy Construction-fenceguardrail: 0.0
  • Accuracy Construction-bridge: 0.0
  • Accuracy Construction-tunnel: 0.0
  • Accuracy Construction-stairs: 0.0
  • Accuracy Object-pole: 0.0
  • Accuracy Object-trafficsign: 0.0
  • Accuracy Object-trafficlight: 0.0
  • Accuracy Nature-vegetation: 0.1770
  • Accuracy Nature-terrain: 0.0
  • Accuracy Sky: 0.0149
  • Accuracy Void-ground: 0.0
  • Accuracy Void-dynamic: 0.0
  • Accuracy Void-static: 0.0
  • Accuracy Void-unclear: 0.0
  • Iou Unlabeled: nan
  • Iou Flat-road: 0.0012
  • Iou Flat-sidewalk: 0.3016
  • Iou Flat-crosswalk: 0.0
  • Iou Flat-cyclinglane: 0.0
  • Iou Flat-parkingdriveway: 0.0
  • Iou Flat-railtrack: 0.0
  • Iou Flat-curb: 0.0
  • Iou Human-person: 0.0
  • Iou Human-rider: 0.0
  • Iou Vehicle-car: 0.0
  • Iou Vehicle-truck: 0.0
  • Iou Vehicle-bus: 0.0
  • Iou Vehicle-tramtrain: 0.0
  • Iou Vehicle-motorcycle: 0.0
  • Iou Vehicle-bicycle: 0.0
  • Iou Vehicle-caravan: 0.0
  • Iou Vehicle-cartrailer: 0.0
  • Iou Construction-building: 0.0318
  • Iou Construction-door: 0.0
  • Iou Construction-wall: 0.0
  • Iou Construction-fenceguardrail: 0.0
  • Iou Construction-bridge: 0.0
  • Iou Construction-tunnel: 0.0
  • Iou Construction-stairs: 0.0
  • Iou Object-pole: 0.0
  • Iou Object-trafficsign: 0.0
  • Iou Object-trafficlight: 0.0
  • Iou Nature-vegetation: 0.0859
  • Iou Nature-terrain: 0.0
  • Iou Sky: 0.0108
  • Iou Void-ground: 0.0
  • Iou Void-dynamic: 0.0
  • Iou Void-static: 0.0
  • Iou Void-unclear: 0.0

Model description

More information needed

Intended uses & limitations

More information needed

Training and evaluation data

More information needed

Training procedure

Training hyperparameters

The following hyperparameters were used during training:

  • learning_rate: 6e-05
  • train_batch_size: 2
  • eval_batch_size: 2
  • 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
3.5256 0.2 10 3.5147 0.0071 0.0401 0.1017 nan 0.0000 0.2861 0.0000 0.0000 0.0402 0.0 0.0011 0.0017 0.0 0.0035 0.0 0.0 0.0 0.0 0.0215 0.0236 0.0002 0.0010 0.0 0.0053 0.0162 0.0020 0.5432 0.0000 0.0815 0.0166 0.0172 0.0010 0.0000 0.0028 0.2620 0.0002 0.0060 0.0294 0.0 0.0000 0.1889 0.0000 0.0000 0.0173 0.0 0.0011 0.0005 0.0 0.0029 0.0 0.0 0.0 0.0 0.0026 0.0001 0.0000 0.0010 0.0 0.0038 0.0064 0.0001 0.0000 0.0000 0.0077 0.0010 0.0000 0.0010 0.0000 0.0027 0.0051 0.0002 0.0049 0.0002
3.3115 0.4 20 3.4349 0.0090 0.0293 0.1597 nan 0.0001 0.4536 0.0 0.0 0.0642 0.0 0.0002 0.0009 0.0 0.0008 0.0 0.0 0.0 0.0 0.0075 0.0213 0.0 0.0009 0.0 0.0059 0.0046 0.0 0.0782 0.0 0.1300 0.0102 0.0231 0.0046 0.0000 0.0016 0.1731 0.0 0.0044 0.0114 nan 0.0001 0.2507 0.0 0.0 0.0202 0.0 0.0002 0.0004 0.0 0.0008 0.0 0.0 0.0 0.0 0.0021 0.0001 0.0 0.0009 0.0 0.0038 0.0030 0.0 0.0000 0.0 0.0080 0.0012 0.0000 0.0044 0.0000 0.0016 0.0050 0.0 0.0038 0.0002
2.8003 0.6 30 3.3730 0.0087 0.0281 0.1245 nan 0.0054 0.3314 0.0000 0.0000 0.1290 0.0 0.0003 0.0031 0.0 0.0004 0.0 0.0 0.0 0.0 0.0023 0.0092 0.0 0.0011 0.0 0.0233 0.0022 0.0 0.0 0.0 0.1795 0.0126 0.0010 0.0239 0.0002 0.0046 0.2127 0.0 0.0075 0.0060 nan 0.0052 0.2092 0.0000 0.0000 0.0244 0.0 0.0003 0.0009 0.0 0.0004 0.0 0.0 0.0 0.0 0.0011 0.0001 0.0 0.0011 0.0 0.0078 0.0017 0.0 0.0 0.0 0.0079 0.0013 0.0000 0.0203 0.0002 0.0041 0.0050 0.0 0.0054 0.0004
3.2521 0.8 40 3.2736 0.0110 0.0292 0.1863 nan 0.0294 0.5083 0.0001 0.0001 0.1290 0.0 0.0004 0.0012 0.0 0.0011 0.0 0.0 0.0 0.0 0.0015 0.0016 0.0 0.0016 0.0 0.0127 0.0038 0.0 0.0 0.0000 0.1112 0.0033 0.0 0.0218 0.0002 0.0042 0.1371 0.0 0.0163 0.0076 nan 0.0243 0.2651 0.0001 0.0001 0.0253 0.0 0.0004 0.0005 0.0 0.0011 0.0 0.0 0.0 0.0 0.0009 0.0001 0.0 0.0016 0.0 0.0058 0.0028 0.0 0.0 0.0000 0.0080 0.0011 0.0 0.0185 0.0002 0.0037 0.0049 0.0 0.0083 0.0011
2.9043 1.0 50 3.2220 0.0132 0.0291 0.1739 nan 0.1252 0.3934 0.0003 0.0003 0.1066 0.0 0.0063 0.0008 0.0 0.0068 0.0 0.0 0.0 0.0 0.0007 0.0 0.0 0.0075 0.0 0.0098 0.0044 0.0 0.0 0.0 0.0582 0.0006 0.0 0.1309 0.0006 0.0081 0.1208 0.0 0.0094 0.0001 nan 0.0664 0.2317 0.0003 0.0003 0.0241 0.0 0.0053 0.0004 0.0 0.0057 0.0 0.0 0.0 0.0 0.0005 0.0 0.0 0.0068 0.0 0.0052 0.0033 0.0 0.0 0.0 0.0085 0.0004 0.0 0.0710 0.0006 0.0064 0.0046 0.0 0.0061 0.0000
2.8893 1.2 60 3.1323 0.0128 0.0301 0.1824 nan 0.1147 0.2779 0.0000 0.0002 0.0638 0.0 0.0002 0.0001 0.0 0.0066 0.0 0.0 0.0 0.0 0.0001 0.0 0.0 0.0111 0.0 0.0017 0.0009 0.0 0.0 0.0 0.0052 0.0000 0.0 0.4865 0.0005 0.0062 0.0445 0.0 0.0025 0.0 nan 0.0637 0.1900 0.0000 0.0002 0.0202 0.0 0.0002 0.0001 0.0 0.0052 0.0 0.0 0.0 0.0 0.0001 0.0 0.0 0.0091 0.0 0.0014 0.0009 0.0 0.0 0.0 0.0033 0.0000 0.0 0.1301 0.0005 0.0050 0.0041 0.0 0.0022 0.0
2.8221 1.4 70 3.0049 0.0138 0.0298 0.2481 nan 0.0664 0.5578 0.0 0.0001 0.0184 0.0 0.0 0.0 0.0 0.0015 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0101 0.0 0.0002 0.0000 0.0 0.0 0.0 0.0007 0.0 0.0 0.3322 0.0001 0.0147 0.0097 0.0 0.0000 0.0 nan 0.0443 0.2727 0.0 0.0001 0.0109 0.0 0.0 0.0 0.0 0.0014 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0084 0.0 0.0002 0.0000 0.0 0.0 0.0 0.0007 0.0 0.0 0.1168 0.0001 0.0102 0.0032 0.0 0.0000 0.0
2.7321 1.6 80 2.9281 0.0129 0.0300 0.2121 nan 0.1000 0.3599 0.0 0.0 0.0076 0.0 0.0 0.0 0.0 0.0022 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0172 0.0 0.0000 0.0 0.0 0.0 0.0 0.0000 0.0 0.0 0.5224 0.0 0.0077 0.0040 0.0 0.0 0.0 nan 0.0577 0.2179 0.0 0.0 0.0056 0.0 0.0 0.0 0.0 0.0019 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0126 0.0 0.0000 0.0 0.0 0.0 0.0 0.0000 0.0 0.0 0.1335 0.0 0.0065 0.0028 0.0 0.0 0.0
2.7583 1.8 90 2.9182 0.0107 0.0303 0.1746 nan 0.1465 0.1641 0.0 0.0 0.0036 0.0 0.0 0.0 0.0 0.0006 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0123 0.0 0.0 0.0 0.0 0.0 0.0 0.0000 0.0 0.0 0.6905 0.0 0.0102 0.0008 0.0 0.0 0.0 nan 0.0714 0.1297 0.0 0.0 0.0030 0.0 0.0 0.0 0.0 0.0006 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0095 0.0 0.0 0.0 0.0 0.0 0.0 0.0000 0.0 0.0 0.1398 0.0 0.0084 0.0007 0.0 0.0 0.0
3.1177 2.0 100 2.9230 0.0138 0.0297 0.2272 nan 0.1294 0.4556 0.0 0.0000 0.0030 0.0 0.0 0.0 0.0 0.0009 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0299 0.0 0.0000 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.3671 0.0 0.0219 0.0004 0.0 0.0 0.0 nan 0.0662 0.2463 0.0 0.0000 0.0026 0.0 0.0 0.0 0.0 0.0009 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0196 0.0 0.0000 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.1193 0.0 0.0149 0.0004 0.0 0.0 0.0
3.041 2.2 110 2.8124 0.0138 0.0291 0.2549 nan 0.1402 0.6049 0.0 0.0000 0.0002 0.0 0.0 0.0 0.0 0.0005 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0363 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.1992 0.0 0.0075 0.0 0.0 0.0 0.0 nan 0.0683 0.2797 0.0 0.0000 0.0002 0.0 0.0 0.0 0.0 0.0005 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0234 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0921 0.0 0.0062 0.0 0.0 0.0 0.0
2.1549 2.4 120 2.7993 0.0132 0.0292 0.2105 nan 0.1463 0.3812 0.0 0.0 0.0001 0.0 0.0 0.0 0.0 0.0002 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0572 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.4022 0.0 0.0061 0.0 0.0 0.0 0.0 nan 0.0692 0.2227 0.0 0.0 0.0001 0.0 0.0 0.0 0.0 0.0002 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0301 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.1223 0.0 0.0053 0.0 0.0 0.0 0.0
2.7506 2.6 130 2.7869 0.0136 0.0290 0.2153 nan 0.1198 0.4194 0.0 0.0 0.0001 0.0 0.0 0.0 0.0 0.0000 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0626 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.3578 0.0 0.0272 0.0 0.0 0.0 0.0 nan 0.0628 0.2315 0.0 0.0 0.0001 0.0 0.0 0.0 0.0 0.0000 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0319 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.1161 0.0 0.0191 0.0 0.0 0.0 0.0
2.8666 2.8 140 2.7030 0.0133 0.0288 0.2546 nan 0.0626 0.5989 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0000 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0378 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.2736 0.0 0.0047 0.0 0.0 0.0 0.0 nan 0.0417 0.2753 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0000 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0239 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.1059 0.0 0.0041 0.0 0.0 0.0 0.0
2.3693 3.0 150 2.6758 0.0133 0.0289 0.2790 nan 0.0661 0.7211 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0000 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0304 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.1548 0.0 0.0089 0.0 0.0 0.0 0.0 nan 0.0432 0.3002 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0000 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0211 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0808 0.0 0.0071 0.0 0.0 0.0 0.0
2.4211 3.2 160 2.6509 0.0122 0.0292 0.3118 nan 0.0340 0.8762 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0001 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0157 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0493 0.0 0.0169 0.0 0.0 0.0 0.0 nan 0.0270 0.3255 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0001 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0129 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0375 0.0 0.0117 0.0 0.0 0.0 0.0
2.2934 3.4 170 2.5811 0.0109 0.0290 0.3268 nan 0.0162 0.9439 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0002 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0104 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0148 0.0 0.0021 0.0 0.0 0.0 0.0 nan 0.0145 0.3322 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0002 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0093 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0131 0.0 0.0019 0.0 0.0 0.0 0.0
2.2474 3.6 180 2.6740 0.0122 0.0287 0.3000 nan 0.0201 0.8363 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0013 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0619 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0461 0.0 0.0089 0.0 0.0 0.0 0.0 nan 0.0170 0.3185 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0013 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0342 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0354 0.0 0.0072 0.0 0.0 0.0 0.0
2.4543 3.8 190 2.5741 0.0115 0.0287 0.3111 nan 0.0113 0.8837 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0006 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0529 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0263 0.0 0.0014 0.0 0.0 0.0 0.0 nan 0.0103 0.3246 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0006 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0317 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0219 0.0 0.0014 0.0 0.0 0.0 0.0
2.6415 4.0 200 2.4955 0.0114 0.0287 0.3121 nan 0.0075 0.8862 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0001 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0495 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0328 0.0 0.0005 0.0 0.0 0.0 0.0 nan 0.0070 0.3248 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0001 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0302 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0266 0.0 0.0005 0.0 0.0 0.0 0.0
2.3359 4.2 210 2.6535 0.0130 0.0280 0.2474 nan 0.0389 0.6235 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0001 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.1633 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.1048 0.0 0.0211 0.0 0.0 0.0 0.0 nan 0.0285 0.2807 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0001 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0537 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0632 0.0 0.0142 0.0 0.0 0.0 0.0
1.8133 4.4 220 2.6000 0.0133 0.0285 0.2609 nan 0.0401 0.6643 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0002 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.1069 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.1350 0.0 0.0210 0.0 0.0 0.0 0.0 nan 0.0291 0.2901 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0002 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0447 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0749 0.0 0.0147 0.0 0.0 0.0 0.0
2.3126 4.6 230 2.6429 0.0126 0.0288 0.1857 nan 0.0332 0.3374 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0002 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.2814 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.2779 0.0 0.0480 0.0 0.0 0.0 0.0 nan 0.0255 0.2045 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0002 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0639 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.1067 0.0 0.0288 0.0 0.0 0.0 0.0
2.2695 4.8 240 2.5140 0.0128 0.0282 0.2399 nan 0.0217 0.5869 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0001 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.2003 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.1312 0.0 0.0183 0.0 0.0 0.0 0.0 nan 0.0177 0.2729 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0001 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0574 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0738 0.0 0.0145 0.0 0.0 0.0 0.0
2.0622 5.0 250 2.4634 0.0126 0.0283 0.2656 nan 0.0107 0.6862 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0000 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.1332 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.1278 0.0 0.0058 0.0 0.0 0.0 0.0 nan 0.0097 0.2918 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0000 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0491 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0736 0.0 0.0052 0.0 0.0 0.0 0.0
2.1988 5.2 260 2.5162 0.0125 0.0282 0.2209 nan 0.0083 0.5152 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0000 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.2606 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.1382 0.0 0.0379 0.0 0.0 0.0 0.0 nan 0.0077 0.2553 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0000 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0621 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0760 0.0 0.0236 0.0 0.0 0.0 0.0
2.4214 5.4 270 2.5880 0.0122 0.0284 0.1888 nan 0.0134 0.3772 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0002 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.3344 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.1887 0.0 0.0516 0.0 0.0 0.0 0.0 nan 0.0117 0.2176 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0002 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0671 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0892 0.0 0.0279 0.0 0.0 0.0 0.0
2.2255 5.6 280 2.4963 0.0127 0.0287 0.2732 nan 0.0126 0.7299 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0000 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.1341 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0689 0.0 0.0301 0.0 0.0 0.0 0.0 nan 0.0113 0.3024 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0000 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0513 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0476 0.0 0.0182 0.0 0.0 0.0 0.0
2.3459 5.8 290 2.5055 0.0131 0.0288 0.2638 nan 0.0133 0.6801 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0001 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.1239 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.1258 0.0 0.0347 0.0 0.0 0.0 0.0 nan 0.0118 0.2933 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0001 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0489 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0718 0.0 0.0198 0.0 0.0 0.0 0.0
2.1034 6.0 300 2.4549 0.0125 0.0288 0.2873 nan 0.0048 0.7776 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0000 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0929 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0897 0.0 0.0143 0.0 0.0 0.0 0.0 nan 0.0046 0.3101 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0000 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0430 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0581 0.0 0.0107 0.0 0.0 0.0 0.0
2.2193 6.2 310 2.4227 0.0126 0.0290 0.2879 nan 0.0013 0.7619 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0000 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0746 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.1482 0.0 0.0002 0.0 0.0 0.0 0.0 nan 0.0013 0.3070 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0000 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0379 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0810 0.0 0.0002 0.0 0.0 0.0 0.0
2.3808 6.4 320 2.4239 0.0124 0.0290 0.2926 nan 0.0006 0.7900 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0000 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0797 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.1109 0.0 0.0031 0.0 0.0 0.0 0.0 nan 0.0006 0.3122 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0000 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0397 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0675 0.0 0.0028 0.0 0.0 0.0 0.0
2.1201 6.6 330 2.4546 0.0130 0.0292 0.2795 nan 0.0010 0.7295 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0000 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0903 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.1522 0.0 0.0186 0.0 0.0 0.0 0.0 nan 0.0010 0.3036 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0000 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0422 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0817 0.0 0.0131 0.0 0.0 0.0 0.0
2.1429 6.8 340 2.4390 0.0121 0.0292 0.3077 nan 0.0004 0.8612 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0000 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0502 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0618 0.0 0.0185 0.0 0.0 0.0 0.0 nan 0.0004 0.3245 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0000 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0314 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0446 0.0 0.0122 0.0 0.0 0.0 0.0
2.3745 7.0 350 2.4814 0.0132 0.0292 0.2555 nan 0.0020 0.6392 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0000 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0911 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.1816 0.0 0.0800 0.0 0.0 0.0 0.0 nan 0.0020 0.2865 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0000 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0422 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0881 0.0 0.0287 0.0 0.0 0.0 0.0
2.1907 7.2 360 2.4901 0.0130 0.0290 0.2387 nan 0.0014 0.5526 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0000 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.1063 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.2669 0.0 0.0588 0.0 0.0 0.0 0.0 nan 0.0014 0.2661 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0000 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0432 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.1055 0.0 0.0274 0.0 0.0 0.0 0.0
2.1116 7.4 370 2.4841 0.0130 0.0290 0.2350 nan 0.0015 0.5323 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0908 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.2968 0.0 0.0659 0.0 0.0 0.0 0.0 nan 0.0014 0.2612 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0397 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.1097 0.0 0.0284 0.0 0.0 0.0 0.0
2.4808 7.6 380 2.4890 0.0129 0.0293 0.2376 nan 0.0025 0.5715 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0758 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.2136 0.0 0.1314 0.0 0.0 0.0 0.0 nan 0.0024 0.2729 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0372 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0958 0.0 0.0319 0.0 0.0 0.0 0.0
1.8601 7.8 390 2.5003 0.0128 0.0290 0.2250 nan 0.0022 0.4998 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0000 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0898 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.2944 0.0 0.1015 0.0 0.0 0.0 0.0 nan 0.0022 0.2538 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0000 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0393 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.1094 0.0 0.0313 0.0 0.0 0.0 0.0
2.032 8.0 400 2.5240 0.0125 0.0289 0.2093 nan 0.0027 0.4406 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0000 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.1033 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.3108 0.0 0.1262 0.0 0.0 0.0 0.0 nan 0.0026 0.2379 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0000 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0422 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.1106 0.0 0.0326 0.0 0.0 0.0 0.0
1.9364 8.2 410 2.4666 0.0127 0.0292 0.2720 nan 0.0024 0.7293 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0000 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0661 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0924 0.0 0.1028 0.0 0.0 0.0 0.0 nan 0.0023 0.3046 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0000 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0371 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0590 0.0 0.0282 0.0 0.0 0.0 0.0
2.0335 8.4 420 2.4894 0.0129 0.0292 0.2402 nan 0.0046 0.5965 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0000 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0783 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.1650 0.0 0.1478 0.0 0.0 0.0 0.0 nan 0.0044 0.2787 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0000 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0400 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0831 0.0 0.0315 0.0 0.0 0.0 0.0
2.0622 8.6 430 2.5457 0.0121 0.0287 0.1888 nan 0.0038 0.3645 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0000 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.1536 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.3132 0.0 0.1396 0.0 0.0 0.0 0.0 nan 0.0037 0.2129 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0000 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0500 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.1108 0.0 0.0338 0.0 0.0 0.0 0.0
1.9635 8.8 440 2.5416 0.0120 0.0287 0.1908 nan 0.0028 0.4200 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0000 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.1216 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.1900 0.0 0.2427 0.0 0.0 0.0 0.0 nan 0.0027 0.2335 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0000 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0465 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0899 0.0 0.0340 0.0 0.0 0.0 0.0
1.9328 9.0 450 2.4707 0.0128 0.0293 0.2609 nan 0.0024 0.6792 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0000 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0528 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.1358 0.0 0.1274 0.0 0.0 0.0 0.0 nan 0.0024 0.2958 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0000 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0327 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0750 0.0 0.0299 0.0 0.0 0.0 0.0
2.0373 9.2 460 2.5003 0.0128 0.0292 0.2294 nan 0.0028 0.5341 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0000 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0638 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.2482 0.0 0.1447 0.0 0.0 0.0 0.0 nan 0.0028 0.2641 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0000 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0349 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.1011 0.0 0.0315 0.0 0.0 0.0 0.0
2.2552 9.4 470 2.4884 0.0130 0.0292 0.2400 nan 0.0020 0.5674 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0000 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0689 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.2513 0.0 0.1038 0.0 0.0 0.0 0.0 nan 0.0020 0.2712 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0000 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0365 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.1016 0.0 0.0296 0.0 0.0 0.0 0.0
1.956 9.6 480 2.5214 0.0126 0.0289 0.2153 nan 0.0034 0.4825 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0000 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.1038 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.2477 0.0 0.1458 0.0 0.0 0.0 0.0 nan 0.0033 0.2501 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0000 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0445 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.1003 0.0 0.0320 0.0 0.0 0.0 0.0
2.1743 9.8 490 2.4624 0.0127 0.0289 0.2689 nan 0.0018 0.7146 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0000 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0769 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.1041 0.0 0.0848 0.0 0.0 0.0 0.0 nan 0.0018 0.3001 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0000 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0402 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0633 0.0 0.0261 0.0 0.0 0.0 0.0
2.0282 10.0 500 2.4429 0.0127 0.0289 0.2813 nan 0.0012 0.7342 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0538 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.1770 0.0 0.0149 0.0 0.0 0.0 0.0 nan 0.0012 0.3016 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0318 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0859 0.0 0.0108 0.0 0.0 0.0 0.0

Framework versions

  • Transformers 4.40.1
  • Pytorch 2.3.0
  • Datasets 2.19.0
  • Tokenizers 0.19.1
Downloads last month
4
Safetensors
Model size
3.72M params
Tensor type
F32
·

Finetuned from

Evaluation results

Metadata error: specify a dataset to view leaderboard