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AllanK24
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mask2former-swin-base-apple-dms-run2

Image Segmentation
Transformers
TensorBoard
Safetensors
mask2former
vision
material-segmentation
Generated from Trainer
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xet
 Metrics Community

mask2former-swin-base-apple-dms-run2

This model is a fine-tuned version of facebook/mask2former-swin-base-ade-semantic on the AllanK24/apple-dms-materials dataset. It achieves the following results on the evaluation set:

  • Mean Iou: 0.2000
  • Mean Accuracy: 0.2253
  • Overall Accuracy: 0.5354
  • Iou Animal Skin: 0.0885
  • Accuracy Animal Skin: 0.1232
  • Iou Bone Teeth Horn: 0.1004
  • Accuracy Bone Teeth Horn: 0.1064
  • Iou Brickwork: 0.1755
  • Accuracy Brickwork: 0.1795
  • Iou Cardboard: 0.1072
  • Accuracy Cardboard: 0.1144
  • Iou Carpet Rug: 0.1953
  • Accuracy Carpet Rug: 0.2001
  • Iou Ceiling Tile: 0.1732
  • Accuracy Ceiling Tile: 0.1743
  • Iou Ceramic: 0.2784
  • Accuracy Ceramic: 0.3092
  • Iou Chalkboard Blackboard: 0.1048
  • Accuracy Chalkboard Blackboard: 0.1050
  • Iou Clutter: 0.0
  • Accuracy Clutter: 0.0
  • Iou Concrete: 0.0381
  • Accuracy Concrete: 0.0412
  • Iou Cork Corkboard: 0.0
  • Accuracy Cork Corkboard: 0.0
  • Iou Engineered Stone: 0.0
  • Accuracy Engineered Stone: 0.0
  • Iou Fabric Cloth: 0.6299
  • Accuracy Fabric Cloth: 0.6986
  • Iou Fiberglass Wool: 0.0
  • Accuracy Fiberglass Wool: 0.0
  • Iou Fire: 0.0
  • Accuracy Fire: 0.0
  • Iou Foliage: 0.6785
  • Accuracy Foliage: 0.7633
  • Iou Food: 0.5707
  • Accuracy Food: 0.7716
  • Iou Fur: 0.5094
  • Accuracy Fur: 0.5670
  • Iou Gemstone Quartz: 0.0
  • Accuracy Gemstone Quartz: 0.0
  • Iou Glass: 0.3757
  • Accuracy Glass: 0.4174
  • Iou Hair: 0.6654
  • Accuracy Hair: 0.7275
  • Iou Ice: 0.0
  • Accuracy Ice: 0.0
  • Iou Leather: 0.0890
  • Accuracy Leather: 0.0931
  • Iou Liquid Non-water: 0.0158
  • Accuracy Liquid Non-water: 0.0176
  • Iou Metal: 0.1629
  • Accuracy Metal: 0.1895
  • Iou Mirror: 0.1728
  • Accuracy Mirror: 0.1887
  • Iou Paint Plaster Enamel: 0.5946
  • Accuracy Paint Plaster Enamel: 0.6543
  • Iou Paper: 0.3728
  • Accuracy Paper: 0.4310
  • Iou Pearl: 0.0
  • Accuracy Pearl: 0.0
  • Iou Photograph Painting: 0.0685
  • Accuracy Photograph Painting: 0.0715
  • Iou Plastic Clear: 0.0419
  • Accuracy Plastic Clear: 0.0446
  • Iou Plastic Non-clear: 0.1156
  • Accuracy Plastic Non-clear: 0.1280
  • Iou Rubber Latex: 0.0609
  • Accuracy Rubber Latex: 0.0633
  • Iou Sand: 0.0117
  • Accuracy Sand: 0.0117
  • Iou Skin Lips: 0.6568
  • Accuracy Skin Lips: 0.7325
  • Iou Sky: 0.8409
  • Accuracy Sky: 0.8789
  • Iou Snow: 0.0674
  • Accuracy Snow: 0.0827
  • Iou Soap: 0.0
  • Accuracy Soap: 0.0
  • Iou Soil Mud: 0.1942
  • Accuracy Soil Mud: 0.2627
  • Iou Sponge: 0.0
  • Accuracy Sponge: 0.0
  • Iou Stone Natural: 0.2693
  • Accuracy Stone Natural: 0.3687
  • Iou Stone Polished: 0.0420
  • Accuracy Stone Polished: 0.0427
  • Iou Styrofoam: 0.0
  • Accuracy Styrofoam: 0.0
  • Iou Tile: 0.2992
  • Accuracy Tile: 0.3196
  • Iou Wallpaper: 0.0845
  • Accuracy Wallpaper: 0.0859
  • Iou Water: 0.5056
  • Accuracy Water: 0.6269
  • Iou Wax: 0.0000
  • Accuracy Wax: 0.0000
  • Iou Whiteboard: 0.2573
  • Accuracy Whiteboard: 0.2673
  • Iou Wicker: 0.0913
  • Accuracy Wicker: 0.0961
  • Iou Wood: 0.5410
  • Accuracy Wood: 0.5841
  • Iou Wood Tree: 0.0976
  • Accuracy Wood Tree: 0.1159
  • Iou Asphalt: 0.0578
  • Accuracy Asphalt: 0.0606
  • Loss: 296.6433
  • Eval Runtime: 36.7542
  • Eval Samples Per Second: 32.214
  • Eval Steps Per Second: 16.107

Model description

More information needed

Intended uses & limitations

More information needed

Training and evaluation data

More information needed

Training procedure

Training hyperparameters

The following hyperparameters were used during training:

  • learning_rate: 0.001
  • train_batch_size: 32
  • eval_batch_size: 16
  • seed: 42
  • distributed_type: multi-GPU
  • num_devices: 8
  • total_train_batch_size: 256
  • total_eval_batch_size: 128
  • optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
  • lr_scheduler_type: linear
  • num_epochs: 20

Training results

Training Loss Epoch Step Mean Iou Mean Accuracy Overall Accuracy Iou Animal Skin Accuracy Animal Skin Iou Bone Teeth Horn Accuracy Bone Teeth Horn Iou Brickwork Accuracy Brickwork Iou Cardboard Accuracy Cardboard Iou Carpet Rug Accuracy Carpet Rug Iou Ceiling Tile Accuracy Ceiling Tile Iou Ceramic Accuracy Ceramic Iou Chalkboard Blackboard Accuracy Chalkboard Blackboard Iou Clutter Accuracy Clutter Iou Concrete Accuracy Concrete Iou Cork Corkboard Accuracy Cork Corkboard Iou Engineered Stone Accuracy Engineered Stone Iou Fabric Cloth Accuracy Fabric Cloth Iou Fiberglass Wool Accuracy Fiberglass Wool Iou Fire Accuracy Fire Iou Foliage Accuracy Foliage Iou Food Accuracy Food Iou Fur Accuracy Fur Iou Gemstone Quartz Accuracy Gemstone Quartz Iou Glass Accuracy Glass Iou Hair Accuracy Hair Iou Ice Accuracy Ice Iou Leather Accuracy Leather Iou Liquid Non-water Accuracy Liquid Non-water Iou Metal Accuracy Metal Iou Mirror Accuracy Mirror Iou Paint Plaster Enamel Accuracy Paint Plaster Enamel Iou Paper Accuracy Paper Iou Pearl Accuracy Pearl Iou Photograph Painting Accuracy Photograph Painting Iou Plastic Clear Accuracy Plastic Clear Iou Plastic Non-clear Accuracy Plastic Non-clear Iou Rubber Latex Accuracy Rubber Latex Iou Sand Accuracy Sand Iou Skin Lips Accuracy Skin Lips Iou Sky Accuracy Sky Iou Snow Accuracy Snow Iou Soap Accuracy Soap Iou Soil Mud Accuracy Soil Mud Iou Sponge Accuracy Sponge Iou Stone Natural Accuracy Stone Natural Iou Stone Polished Accuracy Stone Polished Iou Styrofoam Accuracy Styrofoam Iou Tile Accuracy Tile Iou Wallpaper Accuracy Wallpaper Iou Water Accuracy Water Iou Wax Accuracy Wax Iou Whiteboard Accuracy Whiteboard Iou Wicker Accuracy Wicker Iou Wood Accuracy Wood Iou Wood Tree Accuracy Wood Tree Iou Asphalt Accuracy Asphalt Validation Loss Eval Runtime Eval Samples Per Second Eval Steps Per Second
436.5989 1.7045 150 0.0413 0.0587 0.2913 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.1650 0.2410 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 0.2837 0.3964 0.0 0.0 0.0 0.0 0.0024 0.0024 0.0 0.0 0.0 0.0 0.0 0.0 0.1503 0.1893 0.3278 0.6406 0.0 0.0 0.0003 0.0003 0.0 0.0 0.0019 0.0019 0.0 0.0 0.4485 0.6146 0.0482 0.0575 0.0 0.0 0.0 0.0 0.0 0.0 0.0000 0.0000 0.0 0.0 0.0 0.0 0.4310 0.5656 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 0.0 0.1261 0.1605 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.1631 0.1813 0.0 0.0 0.0 0.0 378.3662 42.381 27.937 13.969
436.5989 1.7045 150 0.0413 0.0587 0.2913 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.1650 0.2410 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 0.2837 0.3964 0.0 0.0 0.0 0.0 0.0024 0.0024 0.0 0.0 0.0 0.0 0.0 0.0 0.1503 0.1893 0.3278 0.6406 0.0 0.0 0.0003 0.0003 0.0 0.0 0.0019 0.0019 0.0 0.0 0.4485 0.6146 0.0482 0.0575 0.0 0.0 0.0 0.0 0.0 0.0 0.0000 0.0000 0.0 0.0 0.0 0.0 0.4310 0.5656 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 0.0 0.1261 0.1605 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.1631 0.1813 0.0 0.0 0.0 0.0 378.3662 42.381 27.937 13.969
357.5705 3.4091 300 0.0767 0.0884 0.4027 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.1937 0.2257 0.0974 0.0982 0.0000 0.0000 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.5193 0.6731 0.0 0.0 0.0 0.0 0.5283 0.5748 0.0001 0.0001 0.1533 0.1644 0.0 0.0 0.1617 0.1746 0.5221 0.5589 0.0 0.0 0.0093 0.0094 0.0 0.0 0.0000 0.0000 0.0 0.0 0.5304 0.6803 0.0672 0.0707 0.0 0.0 0.0035 0.0035 0.0012 0.0012 0.0050 0.0050 0.0000 0.0000 0.0 0.0 0.5700 0.6801 0.2159 0.2269 0.0 0.0 0.0 0.0 0.0000 0.0000 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0051 0.0051 0.0 0.0 0.0245 0.0252 0.0 0.0 0.0 0.0 0.0 0.0 0.3819 0.4185 0.0 0.0 0.0 0.0 338.1806 37.0424 31.963 15.982
357.5705 3.4091 300 0.0767 0.0884 0.4027 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.1937 0.2257 0.0974 0.0982 0.0000 0.0000 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.5193 0.6731 0.0 0.0 0.0 0.0 0.5283 0.5748 0.0001 0.0001 0.1533 0.1644 0.0 0.0 0.1617 0.1746 0.5221 0.5589 0.0 0.0 0.0093 0.0094 0.0 0.0 0.0000 0.0000 0.0 0.0 0.5304 0.6803 0.0672 0.0707 0.0 0.0 0.0035 0.0035 0.0012 0.0012 0.0050 0.0050 0.0000 0.0000 0.0 0.0 0.5700 0.6801 0.2159 0.2269 0.0 0.0 0.0 0.0 0.0000 0.0000 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0051 0.0051 0.0 0.0 0.0245 0.0252 0.0 0.0 0.0 0.0 0.0 0.0 0.3819 0.4185 0.0 0.0 0.0 0.0 338.1806 37.0424 31.963 15.982
324.7154 5.1136 450 0.1110 0.1272 0.4335 0.0 0.0 0.0036 0.0036 0.0147 0.0147 0.0002 0.0002 0.1016 0.1051 0.4359 0.4456 0.1050 0.1213 0.0 0.0 0.0 0.0 0.0000 0.0000 0.0 0.0 0.0 0.0 0.5482 0.6440 0.0 0.0 0.0 0.0 0.5755 0.6296 0.0720 0.0741 0.3315 0.4794 0.0 0.0 0.2787 0.3275 0.6244 0.7262 0.0 0.0 0.0052 0.0054 0.0 0.0 0.0181 0.0185 0.0015 0.0015 0.5172 0.5955 0.1734 0.1890 0.0 0.0 0.0931 0.1100 0.0183 0.0198 0.0617 0.0689 0.0013 0.0013 0.0 0.0 0.5892 0.6542 0.4409 0.4506 0.0 0.0 0.0 0.0 0.0030 0.0030 0.0 0.0 0.0818 0.0856 0.0 0.0 0.0 0.0 0.0232 0.0233 0.0 0.0 0.0714 0.0725 0.0 0.0 0.0597 0.0638 0.0047 0.0048 0.5171 0.6730 0.0011 0.0011 0.0 0.0 317.4770 36.9948 32.004 16.002
324.7154 5.1136 450 0.1110 0.1272 0.4335 0.0 0.0 0.0036 0.0036 0.0147 0.0147 0.0002 0.0002 0.1016 0.1051 0.4359 0.4456 0.1050 0.1213 0.0 0.0 0.0 0.0 0.0000 0.0000 0.0 0.0 0.0 0.0 0.5482 0.6440 0.0 0.0 0.0 0.0 0.5755 0.6296 0.0720 0.0741 0.3315 0.4794 0.0 0.0 0.2787 0.3275 0.6244 0.7262 0.0 0.0 0.0052 0.0054 0.0 0.0 0.0181 0.0185 0.0015 0.0015 0.5172 0.5955 0.1734 0.1890 0.0 0.0 0.0931 0.1100 0.0183 0.0198 0.0617 0.0689 0.0013 0.0013 0.0 0.0 0.5892 0.6542 0.4409 0.4506 0.0 0.0 0.0 0.0 0.0030 0.0030 0.0 0.0 0.0818 0.0856 0.0 0.0 0.0 0.0 0.0232 0.0233 0.0 0.0 0.0714 0.0725 0.0 0.0 0.0597 0.0638 0.0047 0.0048 0.5171 0.6730 0.0011 0.0011 0.0 0.0 317.4770 36.9948 32.004 16.002
305.1586 6.8182 600 0.1626 0.1969 0.5317 0.0011 0.0011 0.0327 0.0344 0.2029 0.2534 0.0232 0.0238 0.1403 0.1493 0.5299 0.5522 0.1128 0.1341 0.0644 0.0647 0.0 0.0 0.0094 0.0096 0.0 0.0 0.0 0.0 0.5822 0.7204 0.0 0.0 0.0 0.0 0.6084 0.6767 0.4158 0.5529 0.4668 0.6248 0.0 0.0 0.3408 0.4283 0.6448 0.7313 0.0 0.0 0.0445 0.0465 0.0 0.0 0.0597 0.0636 0.0103 0.0104 0.5773 0.6511 0.2505 0.2915 0.0 0.0 0.0441 0.0448 0.0571 0.0722 0.0917 0.1074 0.0125 0.0134 0.0 0.0 0.6193 0.7040 0.7493 0.8245 0.0 0.0 0.0 0.0 0.0614 0.0665 0.0 0.0 0.1837 0.2427 0.0 0.0 0.0 0.0 0.3494 0.5571 0.1267 0.1488 0.3576 0.6513 0.0 0.0 0.0859 0.0877 0.0306 0.0316 0.5417 0.6414 0.0247 0.0255 0.0 0.0 310.3910 35.8142 33.06 16.53
305.1586 6.8182 600 0.1626 0.1969 0.5317 0.0011 0.0011 0.0327 0.0344 0.2029 0.2534 0.0232 0.0238 0.1403 0.1493 0.5299 0.5522 0.1128 0.1341 0.0644 0.0647 0.0 0.0 0.0094 0.0096 0.0 0.0 0.0 0.0 0.5822 0.7204 0.0 0.0 0.0 0.0 0.6084 0.6767 0.4158 0.5529 0.4668 0.6248 0.0 0.0 0.3408 0.4283 0.6448 0.7313 0.0 0.0 0.0445 0.0465 0.0 0.0 0.0597 0.0636 0.0103 0.0104 0.5773 0.6511 0.2505 0.2915 0.0 0.0 0.0441 0.0448 0.0571 0.0722 0.0917 0.1074 0.0125 0.0134 0.0 0.0 0.6193 0.7040 0.7493 0.8245 0.0 0.0 0.0 0.0 0.0614 0.0665 0.0 0.0 0.1837 0.2427 0.0 0.0 0.0 0.0 0.3494 0.5571 0.1267 0.1488 0.3576 0.6513 0.0 0.0 0.0859 0.0877 0.0306 0.0316 0.5417 0.6414 0.0247 0.0255 0.0 0.0 310.3910 35.8142 33.06 16.53
290.6089 8.5227 750 0.1373 0.1599 0.4727 0.1286 0.2632 0.0734 0.0783 0.0329 0.0330 0.0017 0.0017 0.0445 0.0448 0.0241 0.0242 0.0398 0.0403 0.0 0.0 0.0 0.0 0.0028 0.0029 0.0 0.0 0.0 0.0 0.5641 0.6047 0.0 0.0 0.0 0.0 0.6451 0.7296 0.5049 0.7142 0.3563 0.3945 0.0 0.0 0.1903 0.1983 0.6365 0.7055 0.0 0.0 0.0090 0.0091 0.0 0.0 0.0419 0.0430 0.0226 0.0227 0.5938 0.7114 0.2996 0.3542 0.0 0.0 0.0480 0.0494 0.0391 0.0439 0.0294 0.0299 0.0098 0.0100 0.0 0.0 0.6114 0.6709 0.7832 0.8262 0.0 0.0 0.0 0.0 0.0740 0.0816 0.0 0.0 0.1900 0.2285 0.0 0.0 0.0 0.0 0.1741 0.1809 0.0305 0.0308 0.4245 0.6513 0.0 0.0 0.0854 0.0863 0.0142 0.0142 0.3829 0.4005 0.0325 0.0337 0.0 0.0 302.5561 34.6878 34.133 17.067
290.6089 8.5227 750 0.1373 0.1599 0.4727 0.1286 0.2632 0.0734 0.0783 0.0329 0.0330 0.0017 0.0017 0.0445 0.0448 0.0241 0.0242 0.0398 0.0403 0.0 0.0 0.0 0.0 0.0028 0.0029 0.0 0.0 0.0 0.0 0.5641 0.6047 0.0 0.0 0.0 0.0 0.6451 0.7296 0.5049 0.7142 0.3563 0.3945 0.0 0.0 0.1903 0.1983 0.6365 0.7055 0.0 0.0 0.0090 0.0091 0.0 0.0 0.0419 0.0430 0.0226 0.0227 0.5938 0.7114 0.2996 0.3542 0.0 0.0 0.0480 0.0494 0.0391 0.0439 0.0294 0.0299 0.0098 0.0100 0.0 0.0 0.6114 0.6709 0.7832 0.8262 0.0 0.0 0.0 0.0 0.0740 0.0816 0.0 0.0 0.1900 0.2285 0.0 0.0 0.0 0.0 0.1741 0.1809 0.0305 0.0308 0.4245 0.6513 0.0 0.0 0.0854 0.0863 0.0142 0.0142 0.3829 0.4005 0.0325 0.0337 0.0 0.0 302.5561 34.6878 34.133 17.067
277.6828 10.2273 900 0.1494 0.1735 0.4566 0.0578 0.1232 0.0806 0.0877 0.0575 0.0576 0.0438 0.0439 0.0516 0.0518 0.0274 0.0274 0.1697 0.1889 0.0047 0.0047 0.0 0.0 0.0009 0.0009 0.0 0.0 0.0 0.0 0.5572 0.5953 0.0 0.0 0.0 0.0 0.6476 0.7080 0.5055 0.7479 0.4794 0.6994 0.0 0.0 0.3037 0.3318 0.6564 0.7356 0.0 0.0 0.0563 0.0584 0.0 0.0 0.0860 0.0918 0.0449 0.0453 0.5709 0.6535 0.2810 0.3157 0.0 0.0 0.0106 0.0107 0.0233 0.0241 0.0561 0.0583 0.0202 0.0203 0.0 0.0 0.6440 0.7306 0.7224 0.7563 0.0 0.0 0.0 0.0 0.0888 0.1006 0.0 0.0 0.2708 0.4092 0.0020 0.0020 0.0 0.0 0.1237 0.1283 0.0634 0.0657 0.3795 0.4514 0.0 0.0 0.2774 0.2779 0.0410 0.0415 0.3282 0.3408 0.0351 0.0361 0.0004 0.0004 299.9430 35.8068 33.066 16.533
277.6828 10.2273 900 0.1494 0.1735 0.4566 0.0578 0.1232 0.0806 0.0877 0.0575 0.0576 0.0438 0.0439 0.0516 0.0518 0.0274 0.0274 0.1697 0.1889 0.0047 0.0047 0.0 0.0 0.0009 0.0009 0.0 0.0 0.0 0.0 0.5572 0.5953 0.0 0.0 0.0 0.0 0.6476 0.7080 0.5055 0.7479 0.4794 0.6994 0.0 0.0 0.3037 0.3318 0.6564 0.7356 0.0 0.0 0.0563 0.0584 0.0 0.0 0.0860 0.0918 0.0449 0.0453 0.5709 0.6535 0.2810 0.3157 0.0 0.0 0.0106 0.0107 0.0233 0.0241 0.0561 0.0583 0.0202 0.0203 0.0 0.0 0.6440 0.7306 0.7224 0.7563 0.0 0.0 0.0 0.0 0.0888 0.1006 0.0 0.0 0.2708 0.4092 0.0020 0.0020 0.0 0.0 0.1237 0.1283 0.0634 0.0657 0.3795 0.4514 0.0 0.0 0.2774 0.2779 0.0410 0.0415 0.3282 0.3408 0.0351 0.0361 0.0004 0.0004 299.9430 35.8068 33.066 16.533
266.7051 11.9318 1050 0.1865 0.2135 0.5225 0.0153 0.0156 0.0581 0.0595 0.1121 0.1136 0.1273 0.1346 0.1525 0.1552 0.3963 0.4022 0.1759 0.1876 0.0107 0.0107 0.0 0.0 0.0070 0.0072 0.0 0.0 0.0 0.0 0.6247 0.7172 0.0 0.0 0.0 0.0 0.6958 0.7974 0.5624 0.7606 0.4432 0.5194 0.0 0.0 0.3495 0.3932 0.6653 0.7621 0.0 0.0 0.0656 0.0680 0.0 0.0 0.0815 0.0863 0.1556 0.1791 0.5771 0.6259 0.3813 0.5135 0.0 0.0 0.0758 0.0789 0.0778 0.0913 0.1512 0.1853 0.0459 0.0483 0.0 0.0 0.6408 0.7086 0.7962 0.8473 0.0 0.0 0.0 0.0 0.1354 0.1695 0.0 0.0 0.2451 0.3122 0.0111 0.0112 0.0 0.0 0.2409 0.2631 0.0450 0.0450 0.4594 0.6229 0.0 0.0 0.3447 0.3565 0.1113 0.1206 0.5245 0.5682 0.1082 0.1380 0.0274 0.0276 295.9863 36.4316 32.499 16.25
266.7051 11.9318 1050 0.1865 0.2135 0.5225 0.0153 0.0156 0.0581 0.0595 0.1121 0.1136 0.1273 0.1346 0.1525 0.1552 0.3963 0.4022 0.1759 0.1876 0.0107 0.0107 0.0 0.0 0.0070 0.0072 0.0 0.0 0.0 0.0 0.6247 0.7172 0.0 0.0 0.0 0.0 0.6958 0.7974 0.5624 0.7606 0.4432 0.5194 0.0 0.0 0.3495 0.3932 0.6653 0.7621 0.0 0.0 0.0656 0.0680 0.0 0.0 0.0815 0.0863 0.1556 0.1791 0.5771 0.6259 0.3813 0.5135 0.0 0.0 0.0758 0.0789 0.0778 0.0913 0.1512 0.1853 0.0459 0.0483 0.0 0.0 0.6408 0.7086 0.7962 0.8473 0.0 0.0 0.0 0.0 0.1354 0.1695 0.0 0.0 0.2451 0.3122 0.0111 0.0112 0.0 0.0 0.2409 0.2631 0.0450 0.0450 0.4594 0.6229 0.0 0.0 0.3447 0.3565 0.1113 0.1206 0.5245 0.5682 0.1082 0.1380 0.0274 0.0276 295.9863 36.4316 32.499 16.25
255.6580 13.6364 1200 0.1621 0.1793 0.4761 0.0729 0.1311 0.0776 0.0829 0.1597 0.1642 0.0839 0.0872 0.0892 0.0903 0.0880 0.0884 0.1324 0.1391 0.0104 0.0105 0.0 0.0 0.0109 0.0112 0.0 0.0 0.0 0.0 0.6001 0.6482 0.0 0.0 0.0 0.0 0.6537 0.7095 0.5225 0.5866 0.3030 0.3160 0.0 0.0 0.3434 0.3835 0.6527 0.7178 0.0 0.0 0.0227 0.0234 0.0 0.0 0.1015 0.1099 0.1331 0.1449 0.5686 0.6184 0.3072 0.3385 0.0 0.0 0.0401 0.0410 0.0365 0.0388 0.0805 0.0851 0.0493 0.0509 0.0 0.0 0.6507 0.7229 0.7641 0.7907 0.0098 0.0098 0.0 0.0 0.1444 0.1915 0.0 0.0 0.2889 0.4195 0.0113 0.0113 0.0 0.0 0.2078 0.2184 0.0464 0.0466 0.4177 0.4964 0.0 0.0 0.0613 0.0614 0.1168 0.1247 0.4572 0.4813 0.0915 0.1122 0.0208 0.0212 294.2896 37.3176 31.728 15.864
255.6580 13.6364 1200 0.1621 0.1793 0.4761 0.0729 0.1311 0.0776 0.0829 0.1597 0.1642 0.0839 0.0872 0.0892 0.0903 0.0880 0.0884 0.1324 0.1391 0.0104 0.0105 0.0 0.0 0.0109 0.0112 0.0 0.0 0.0 0.0 0.6001 0.6482 0.0 0.0 0.0 0.0 0.6537 0.7095 0.5225 0.5866 0.3030 0.3160 0.0 0.0 0.3434 0.3835 0.6527 0.7178 0.0 0.0 0.0227 0.0234 0.0 0.0 0.1015 0.1099 0.1331 0.1449 0.5686 0.6184 0.3072 0.3385 0.0 0.0 0.0401 0.0410 0.0365 0.0388 0.0805 0.0851 0.0493 0.0509 0.0 0.0 0.6507 0.7229 0.7641 0.7907 0.0098 0.0098 0.0 0.0 0.1444 0.1915 0.0 0.0 0.2889 0.4195 0.0113 0.0113 0.0 0.0 0.2078 0.2184 0.0464 0.0466 0.4177 0.4964 0.0 0.0 0.0613 0.0614 0.1168 0.1247 0.4572 0.4813 0.0915 0.1122 0.0208 0.0212 294.2896 37.3176 31.728 15.864
246.0549 15.3409 1350 0.1838 0.2078 0.4954 0.0748 0.0921 0.0757 0.0794 0.2244 0.2388 0.0911 0.0945 0.0961 0.0973 0.0638 0.0641 0.2109 0.2241 0.0384 0.0384 0.0 0.0 0.0078 0.0080 0.0 0.0 0.0 0.0 0.6243 0.6897 0.0 0.0 0.0 0.0 0.6937 0.7733 0.5871 0.7564 0.5160 0.5952 0.0 0.0 0.3619 0.4070 0.6744 0.7556 0.0 0.0 0.0541 0.0560 0.0001 0.0001 0.1471 0.1702 0.1546 0.1701 0.5485 0.5893 0.3566 0.4183 0.0 0.0 0.0857 0.0884 0.0541 0.0596 0.1142 0.1265 0.0665 0.0712 0.0 0.0 0.6602 0.7438 0.8042 0.8464 0.0000 0.0000 0.0 0.0 0.2199 0.2953 0.0 0.0 0.2837 0.3763 0.0181 0.0182 0.0 0.0 0.2143 0.2219 0.0407 0.0408 0.4547 0.5987 0.0 0.0 0.2609 0.2706 0.0813 0.0855 0.4744 0.5023 0.1048 0.1183 0.0210 0.0214 294.5585 37.7824 31.337 15.669
246.0549 15.3409 1350 0.1838 0.2078 0.4954 0.0748 0.0921 0.0757 0.0794 0.2244 0.2388 0.0911 0.0945 0.0961 0.0973 0.0638 0.0641 0.2109 0.2241 0.0384 0.0384 0.0 0.0 0.0078 0.0080 0.0 0.0 0.0 0.0 0.6243 0.6897 0.0 0.0 0.0 0.0 0.6937 0.7733 0.5871 0.7564 0.5160 0.5952 0.0 0.0 0.3619 0.4070 0.6744 0.7556 0.0 0.0 0.0541 0.0560 0.0001 0.0001 0.1471 0.1702 0.1546 0.1701 0.5485 0.5893 0.3566 0.4183 0.0 0.0 0.0857 0.0884 0.0541 0.0596 0.1142 0.1265 0.0665 0.0712 0.0 0.0 0.6602 0.7438 0.8042 0.8464 0.0000 0.0000 0.0 0.0 0.2199 0.2953 0.0 0.0 0.2837 0.3763 0.0181 0.0182 0.0 0.0 0.2143 0.2219 0.0407 0.0408 0.4547 0.5987 0.0 0.0 0.2609 0.2706 0.0813 0.0855 0.4744 0.5023 0.1048 0.1183 0.0210 0.0214 294.5585 37.7824 31.337 15.669
237.3320 17.0455 1500 0.1863 0.2098 0.5203 0.0791 0.1055 0.1021 0.1119 0.1458 0.1496 0.0639 0.0656 0.1552 0.1584 0.2510 0.2533 0.1509 0.1584 0.0349 0.0354 0.0 0.0 0.0045 0.0045 0.0 0.0 0.0 0.0 0.6445 0.7443 0.0 0.0 0.0 0.0 0.6807 0.7919 0.5572 0.6963 0.5336 0.6336 0.0 0.0 0.3564 0.3939 0.6821 0.7661 0.0 0.0 0.0796 0.0842 0.0048 0.0053 0.1104 0.1206 0.1443 0.1538 0.5848 0.6378 0.3686 0.4235 0.0 0.0 0.1156 0.1241 0.0452 0.0476 0.0997 0.1074 0.0586 0.0605 0.0212 0.0212 0.6668 0.7529 0.8359 0.8916 0.0241 0.0296 0.0 0.0 0.1679 0.2102 0.0 0.0 0.2433 0.2988 0.0124 0.0125 0.0 0.0 0.2257 0.2364 0.1064 0.1093 0.4636 0.5860 0.0 0.0 0.1663 0.1669 0.0903 0.0943 0.4966 0.5266 0.1075 0.1349 0.0066 0.0067 296.4626 34.8379 33.986 16.993
237.3320 17.0455 1500 0.1863 0.2098 0.5203 0.0791 0.1055 0.1021 0.1119 0.1458 0.1496 0.0639 0.0656 0.1552 0.1584 0.2510 0.2533 0.1509 0.1584 0.0349 0.0354 0.0 0.0 0.0045 0.0045 0.0 0.0 0.0 0.0 0.6445 0.7443 0.0 0.0 0.0 0.0 0.6807 0.7919 0.5572 0.6963 0.5336 0.6336 0.0 0.0 0.3564 0.3939 0.6821 0.7661 0.0 0.0 0.0796 0.0842 0.0048 0.0053 0.1104 0.1206 0.1443 0.1538 0.5848 0.6378 0.3686 0.4235 0.0 0.0 0.1156 0.1241 0.0452 0.0476 0.0997 0.1074 0.0586 0.0605 0.0212 0.0212 0.6668 0.7529 0.8359 0.8916 0.0241 0.0296 0.0 0.0 0.1679 0.2102 0.0 0.0 0.2433 0.2988 0.0124 0.0125 0.0 0.0 0.2257 0.2364 0.1064 0.1093 0.4636 0.5860 0.0 0.0 0.1663 0.1669 0.0903 0.0943 0.4966 0.5266 0.1075 0.1349 0.0066 0.0067 296.4626 34.8379 33.986 16.993
228.5443 18.75 1650 0.2000 0.2253 0.5354 0.0885 0.1232 0.1004 0.1064 0.1755 0.1795 0.1072 0.1144 0.1953 0.2001 0.1732 0.1743 0.2784 0.3092 0.1048 0.1050 0.0 0.0 0.0381 0.0412 0.0 0.0 0.0 0.0 0.6299 0.6986 0.0 0.0 0.0 0.0 0.6785 0.7633 0.5707 0.7716 0.5094 0.5670 0.0 0.0 0.3757 0.4174 0.6654 0.7275 0.0 0.0 0.0890 0.0931 0.0158 0.0176 0.1629 0.1895 0.1728 0.1887 0.5946 0.6543 0.3728 0.4310 0.0 0.0 0.0685 0.0715 0.0419 0.0446 0.1156 0.1280 0.0609 0.0633 0.0117 0.0117 0.6568 0.7325 0.8409 0.8789 0.0674 0.0827 0.0 0.0 0.1942 0.2627 0.0 0.0 0.2693 0.3687 0.0420 0.0427 0.0 0.0 0.2992 0.3196 0.0845 0.0859 0.5056 0.6269 0.0000 0.0000 0.2573 0.2673 0.0913 0.0961 0.5410 0.5841 0.0976 0.1159 0.0578 0.0606 296.6433 36.7542 32.214 16.107
228.5443 18.75 1650 0.2000 0.2253 0.5354 0.0885 0.1232 0.1004 0.1064 0.1755 0.1795 0.1072 0.1144 0.1953 0.2001 0.1732 0.1743 0.2784 0.3092 0.1048 0.1050 0.0 0.0 0.0381 0.0412 0.0 0.0 0.0 0.0 0.6299 0.6986 0.0 0.0 0.0 0.0 0.6785 0.7633 0.5707 0.7716 0.5094 0.5670 0.0 0.0 0.3757 0.4174 0.6654 0.7275 0.0 0.0 0.0890 0.0931 0.0158 0.0176 0.1629 0.1895 0.1728 0.1887 0.5946 0.6543 0.3728 0.4310 0.0 0.0 0.0685 0.0715 0.0419 0.0446 0.1156 0.1280 0.0609 0.0633 0.0117 0.0117 0.6568 0.7325 0.8409 0.8789 0.0674 0.0827 0.0 0.0 0.1942 0.2627 0.0 0.0 0.2693 0.3687 0.0420 0.0427 0.0 0.0 0.2992 0.3196 0.0845 0.0859 0.5056 0.6269 0.0000 0.0000 0.2573 0.2673 0.0913 0.0961 0.5410 0.5841 0.0976 0.1159 0.0578 0.0606 296.6433 36.7542 32.214 16.107

Framework versions

  • Transformers 5.0.0
  • Pytorch 2.9.1+cu128
  • Datasets 4.5.0
  • Tokenizers 0.22.2
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