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AllanK24
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mask2former-swin-large-apple-dms-run1

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

mask2former-swin-large-apple-dms-run1

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

  • Mean Iou: 0.3738
  • Mean Accuracy: 0.4172
  • Overall Accuracy: 0.7341
  • Iou Animal Skin: 0.1763
  • Accuracy Animal Skin: 0.2357
  • Iou Bone Teeth Horn: 0.0785
  • Accuracy Bone Teeth Horn: 0.0816
  • Iou Brickwork: 0.5229
  • Accuracy Brickwork: 0.5694
  • Iou Cardboard: 0.5144
  • Accuracy Cardboard: 0.5491
  • Iou Carpet Rug: 0.7512
  • Accuracy Carpet Rug: 0.8051
  • Iou Ceiling Tile: 0.7585
  • Accuracy Ceiling Tile: 0.8038
  • Iou Ceramic: 0.6800
  • Accuracy Ceramic: 0.7569
  • Iou Chalkboard Blackboard: 0.6079
  • Accuracy Chalkboard Blackboard: 0.6251
  • Iou Clutter: 0.0
  • Accuracy Clutter: 0.0
  • Iou Concrete: 0.1140
  • Accuracy Concrete: 0.1274
  • Iou Cork Corkboard: 0.0
  • Accuracy Cork Corkboard: 0.0
  • Iou Engineered Stone: 0.0
  • Accuracy Engineered Stone: 0.0
  • Iou Fabric Cloth: 0.8077
  • Accuracy Fabric Cloth: 0.8577
  • Iou Fiberglass Wool: 0.0
  • Accuracy Fiberglass Wool: 0.0
  • Iou Fire: 0.0
  • Accuracy Fire: 0.0
  • Iou Foliage: 0.8477
  • Accuracy Foliage: 0.9132
  • Iou Food: 0.7791
  • Accuracy Food: 0.8473
  • Iou Fur: 0.7820
  • Accuracy Fur: 0.8975
  • Iou Gemstone Quartz: 0.0
  • Accuracy Gemstone Quartz: 0.0
  • Iou Glass: 0.6104
  • Accuracy Glass: 0.6762
  • Iou Hair: 0.7591
  • Accuracy Hair: 0.8424
  • Iou Ice: 0.0
  • Accuracy Ice: 0.0
  • Iou Leather: 0.3416
  • Accuracy Leather: 0.3705
  • Iou Liquid Non-water: 0.0
  • Accuracy Liquid Non-water: 0.0
  • Iou Metal: 0.3338
  • Accuracy Metal: 0.3816
  • Iou Mirror: 0.5226
  • Accuracy Mirror: 0.5838
  • Iou Paint Plaster Enamel: 0.7258
  • Accuracy Paint Plaster Enamel: 0.7853
  • Iou Paper: 0.6264
  • Accuracy Paper: 0.6989
  • Iou Pearl: 0.0
  • Accuracy Pearl: 0.0
  • Iou Photograph Painting: 0.2530
  • Accuracy Photograph Painting: 0.2760
  • Iou Plastic Clear: 0.2795
  • Accuracy Plastic Clear: 0.3228
  • Iou Plastic Non-clear: 0.3356
  • Accuracy Plastic Non-clear: 0.3811
  • Iou Rubber Latex: 0.2145
  • Accuracy Rubber Latex: 0.2300
  • Iou Sand: 0.0
  • Accuracy Sand: 0.0
  • Iou Skin Lips: 0.7505
  • Accuracy Skin Lips: 0.8395
  • Iou Sky: 0.9236
  • Accuracy Sky: 0.9515
  • Iou Snow: 0.0
  • Accuracy Snow: 0.0
  • Iou Soap: 0.0
  • Accuracy Soap: 0.0
  • Iou Soil Mud: 0.3268
  • Accuracy Soil Mud: 0.5797
  • Iou Sponge: 0.0
  • Accuracy Sponge: 0.0
  • Iou Stone Natural: 0.4921
  • Accuracy Stone Natural: 0.6225
  • Iou Stone Polished: 0.0886
  • Accuracy Stone Polished: 0.0904
  • Iou Styrofoam: 0.0
  • Accuracy Styrofoam: 0.0
  • Iou Tile: 0.6343
  • Accuracy Tile: 0.6951
  • Iou Wallpaper: 0.3391
  • Accuracy Wallpaper: 0.3889
  • Iou Water: 0.8342
  • Accuracy Water: 0.9333
  • Iou Wax: 0.1469
  • Accuracy Wax: 0.1538
  • Iou Whiteboard: 0.6355
  • Accuracy Whiteboard: 0.6966
  • Iou Wicker: 0.3825
  • Accuracy Wicker: 0.4003
  • Iou Wood: 0.7119
  • Accuracy Wood: 0.7690
  • Iou Wood Tree: 0.3640
  • Accuracy Wood Tree: 0.4130
  • Iou Asphalt: 0.3848
  • Accuracy Asphalt: 0.5424
  • Loss: 261.3355
  • Eval Runtime: 39.6948
  • Eval Samples Per Second: 29.828
  • Eval Steps Per Second: 14.914

Model description

More information needed

Intended uses & limitations

More information needed

Training and evaluation data

More information needed

Training procedure

Training hyperparameters

The following hyperparameters were used during training:

  • learning_rate: 0.0001
  • train_batch_size: 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: cosine
  • lr_scheduler_warmup_steps: 0.1
  • 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
326.7486 1.7045 150 0.1341 0.1501 0.5649 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.4609 0.5478 0.1275 0.1276 0.1313 0.1350 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.7335 0.8068 0.0 0.0 0.0 0.0 0.7408 0.7989 0.0000 0.0000 0.0006 0.0006 0.0 0.0 0.4755 0.5489 0.7019 0.8123 0.0 0.0 0.0109 0.0110 0.0 0.0 0.0376 0.0383 0.0 0.0 0.6685 0.7607 0.5104 0.6265 0.0 0.0 0.0002 0.0002 0.0128 0.0131 0.0371 0.0381 0.0 0.0 0.0 0.0 0.6973 0.7995 0.6785 0.6834 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0020 0.0021 0.0 0.0 0.0 0.0 0.2665 0.3096 0.0 0.0 0.0272 0.0272 0.0 0.0 0.0 0.0 0.0 0.0 0.6506 0.7191 0.0 0.0 0.0 0.0 279.7881 44.7434 26.462 13.231
326.7486 1.7045 150 0.1341 0.1501 0.5649 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.4609 0.5478 0.1275 0.1276 0.1313 0.1350 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.7335 0.8068 0.0 0.0 0.0 0.0 0.7408 0.7989 0.0000 0.0000 0.0006 0.0006 0.0 0.0 0.4755 0.5489 0.7019 0.8123 0.0 0.0 0.0109 0.0110 0.0 0.0 0.0376 0.0383 0.0 0.0 0.6685 0.7607 0.5104 0.6265 0.0 0.0 0.0002 0.0002 0.0128 0.0131 0.0371 0.0381 0.0 0.0 0.0 0.0 0.6973 0.7995 0.6785 0.6834 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0020 0.0021 0.0 0.0 0.0 0.0 0.2665 0.3096 0.0 0.0 0.0272 0.0272 0.0 0.0 0.0 0.0 0.0 0.0 0.6506 0.7191 0.0 0.0 0.0 0.0 279.7881 44.7434 26.462 13.231
268.7035 3.4091 300 0.2396 0.2606 0.6606 0.0 0.0 0.0309 0.0315 0.1054 0.1095 0.0549 0.0551 0.6872 0.7586 0.7428 0.7933 0.5989 0.6566 0.0 0.0 0.0 0.0 0.0000 0.0000 0.0 0.0 0.0 0.0 0.7969 0.8627 0.0 0.0 0.0 0.0 0.8407 0.9079 0.5015 0.5269 0.5655 0.5974 0.0 0.0 0.5512 0.6028 0.7356 0.8382 0.0 0.0 0.0833 0.0847 0.0 0.0 0.2387 0.2587 0.4961 0.6322 0.6905 0.7474 0.5498 0.6096 0.0 0.0 0.0673 0.0699 0.0768 0.0792 0.1596 0.1657 0.0000 0.0000 0.0 0.0 0.7206 0.8109 0.9009 0.9212 0.0 0.0 0.0 0.0 0.0000 0.0000 0.0 0.0 0.1231 0.1263 0.0 0.0 0.0 0.0 0.5548 0.6192 0.0 0.0 0.8261 0.8693 0.0 0.0 0.0 0.0 0.0711 0.0713 0.6890 0.7431 0.0000 0.0000 0.0 0.0 264.1575 41.1528 28.771 14.385
268.7035 3.4091 300 0.2396 0.2606 0.6606 0.0 0.0 0.0309 0.0315 0.1054 0.1095 0.0549 0.0551 0.6872 0.7586 0.7428 0.7933 0.5989 0.6566 0.0 0.0 0.0 0.0 0.0000 0.0000 0.0 0.0 0.0 0.0 0.7969 0.8627 0.0 0.0 0.0 0.0 0.8407 0.9079 0.5015 0.5269 0.5655 0.5974 0.0 0.0 0.5512 0.6028 0.7356 0.8382 0.0 0.0 0.0833 0.0847 0.0 0.0 0.2387 0.2587 0.4961 0.6322 0.6905 0.7474 0.5498 0.6096 0.0 0.0 0.0673 0.0699 0.0768 0.0792 0.1596 0.1657 0.0000 0.0000 0.0 0.0 0.7206 0.8109 0.9009 0.9212 0.0 0.0 0.0 0.0 0.0000 0.0000 0.0 0.0 0.1231 0.1263 0.0 0.0 0.0 0.0 0.5548 0.6192 0.0 0.0 0.8261 0.8693 0.0 0.0 0.0 0.0 0.0711 0.0713 0.6890 0.7431 0.0000 0.0000 0.0 0.0 264.1575 41.1528 28.771 14.385
249.8650 5.1136 450 0.2946 0.3242 0.7066 0.0 0.0 0.0536 0.0553 0.3659 0.4202 0.3258 0.3363 0.7107 0.7628 0.7634 0.8162 0.6540 0.7589 0.0 0.0 0.0 0.0 0.0017 0.0017 0.0 0.0 0.0 0.0 0.7994 0.8650 0.0 0.0 0.0 0.0 0.8394 0.9055 0.7203 0.7907 0.7277 0.8059 0.0 0.0 0.6065 0.6789 0.7463 0.8337 0.0 0.0 0.2887 0.3001 0.0 0.0 0.3269 0.3795 0.5163 0.5760 0.7202 0.7814 0.5859 0.6411 0.0 0.0 0.1760 0.1842 0.1556 0.1637 0.1941 0.2043 0.0105 0.0105 0.0 0.0 0.7339 0.8367 0.9097 0.9314 0.0 0.0 0.0 0.0 0.0096 0.0096 0.0 0.0 0.2947 0.3457 0.0227 0.0228 0.0 0.0 0.6236 0.7183 0.0814 0.0834 0.8355 0.9233 0.0 0.0 0.4712 0.5900 0.2132 0.2211 0.7228 0.7856 0.1139 0.1170 0.0 0.0 259.0123 37.7333 31.378 15.689
249.8650 5.1136 450 0.2946 0.3242 0.7066 0.0 0.0 0.0536 0.0553 0.3659 0.4202 0.3258 0.3363 0.7107 0.7628 0.7634 0.8162 0.6540 0.7589 0.0 0.0 0.0 0.0 0.0017 0.0017 0.0 0.0 0.0 0.0 0.7994 0.8650 0.0 0.0 0.0 0.0 0.8394 0.9055 0.7203 0.7907 0.7277 0.8059 0.0 0.0 0.6065 0.6789 0.7463 0.8337 0.0 0.0 0.2887 0.3001 0.0 0.0 0.3269 0.3795 0.5163 0.5760 0.7202 0.7814 0.5859 0.6411 0.0 0.0 0.1760 0.1842 0.1556 0.1637 0.1941 0.2043 0.0105 0.0105 0.0 0.0 0.7339 0.8367 0.9097 0.9314 0.0 0.0 0.0 0.0 0.0096 0.0096 0.0 0.0 0.2947 0.3457 0.0227 0.0228 0.0 0.0 0.6236 0.7183 0.0814 0.0834 0.8355 0.9233 0.0 0.0 0.4712 0.5900 0.2132 0.2211 0.7228 0.7856 0.1139 0.1170 0.0 0.0 259.0123 37.7333 31.378 15.689
235.5338 6.8182 600 0.3191 0.3515 0.7204 0.0032 0.0033 0.0751 0.0792 0.4874 0.5437 0.3827 0.3964 0.7526 0.8257 0.7537 0.7908 0.6531 0.7203 0.0 0.0 0.0 0.0 0.0190 0.0194 0.0 0.0 0.0 0.0 0.8064 0.8540 0.0 0.0 0.0 0.0 0.8416 0.9014 0.7605 0.8304 0.7806 0.9024 0.0 0.0 0.6189 0.6925 0.7483 0.8258 0.0 0.0 0.3935 0.4221 0.0 0.0 0.3342 0.3831 0.5357 0.6085 0.7244 0.7884 0.6091 0.6673 0.0 0.0 0.1895 0.1994 0.2085 0.2191 0.2444 0.2618 0.1129 0.1151 0.0 0.0 0.7421 0.8381 0.9183 0.9388 0.0 0.0 0.0 0.0 0.0765 0.0807 0.0 0.0 0.3571 0.4711 0.0553 0.0561 0.0 0.0 0.6272 0.6953 0.2398 0.2538 0.8281 0.9339 0.0 0.0 0.4926 0.6455 0.2655 0.2751 0.7347 0.7996 0.2203 0.2375 0.0 0.0 255.9723 37.7341 31.377 15.689
235.5338 6.8182 600 0.3191 0.3515 0.7204 0.0032 0.0033 0.0751 0.0792 0.4874 0.5437 0.3827 0.3964 0.7526 0.8257 0.7537 0.7908 0.6531 0.7203 0.0 0.0 0.0 0.0 0.0190 0.0194 0.0 0.0 0.0 0.0 0.8064 0.8540 0.0 0.0 0.0 0.0 0.8416 0.9014 0.7605 0.8304 0.7806 0.9024 0.0 0.0 0.6189 0.6925 0.7483 0.8258 0.0 0.0 0.3935 0.4221 0.0 0.0 0.3342 0.3831 0.5357 0.6085 0.7244 0.7884 0.6091 0.6673 0.0 0.0 0.1895 0.1994 0.2085 0.2191 0.2444 0.2618 0.1129 0.1151 0.0 0.0 0.7421 0.8381 0.9183 0.9388 0.0 0.0 0.0 0.0 0.0765 0.0807 0.0 0.0 0.3571 0.4711 0.0553 0.0561 0.0 0.0 0.6272 0.6953 0.2398 0.2538 0.8281 0.9339 0.0 0.0 0.4926 0.6455 0.2655 0.2751 0.7347 0.7996 0.2203 0.2375 0.0 0.0 255.9723 37.7341 31.377 15.689
224.5907 8.5227 750 0.3339 0.3721 0.7272 0.0189 0.0192 0.0650 0.0672 0.5260 0.5922 0.4853 0.5140 0.7528 0.8260 0.7826 0.8437 0.6706 0.7540 0.0113 0.0113 0.0 0.0 0.0252 0.0255 0.0 0.0 0.0 0.0 0.8141 0.8766 0.0 0.0 0.0 0.0 0.8465 0.9186 0.7704 0.8389 0.7906 0.8903 0.0 0.0 0.6152 0.6784 0.7519 0.8331 0.0 0.0 0.3799 0.4104 0.0 0.0 0.3273 0.3685 0.5564 0.6394 0.7205 0.7789 0.6188 0.6956 0.0 0.0 0.2671 0.2907 0.2838 0.3335 0.2995 0.3355 0.1682 0.1752 0.0 0.0 0.7454 0.8320 0.9207 0.9404 0.0 0.0 0.0 0.0 0.2061 0.2691 0.0 0.0 0.4345 0.5666 0.0892 0.0907 0.0 0.0 0.6048 0.6539 0.2529 0.2830 0.8279 0.9310 0.0136 0.0136 0.4833 0.7209 0.2656 0.2784 0.7313 0.7978 0.2369 0.2558 0.0004 0.0004 257.6098 38.9294 30.414 15.207
224.5907 8.5227 750 0.3339 0.3721 0.7272 0.0189 0.0192 0.0650 0.0672 0.5260 0.5922 0.4853 0.5140 0.7528 0.8260 0.7826 0.8437 0.6706 0.7540 0.0113 0.0113 0.0 0.0 0.0252 0.0255 0.0 0.0 0.0 0.0 0.8141 0.8766 0.0 0.0 0.0 0.0 0.8465 0.9186 0.7704 0.8389 0.7906 0.8903 0.0 0.0 0.6152 0.6784 0.7519 0.8331 0.0 0.0 0.3799 0.4104 0.0 0.0 0.3273 0.3685 0.5564 0.6394 0.7205 0.7789 0.6188 0.6956 0.0 0.0 0.2671 0.2907 0.2838 0.3335 0.2995 0.3355 0.1682 0.1752 0.0 0.0 0.7454 0.8320 0.9207 0.9404 0.0 0.0 0.0 0.0 0.2061 0.2691 0.0 0.0 0.4345 0.5666 0.0892 0.0907 0.0 0.0 0.6048 0.6539 0.2529 0.2830 0.8279 0.9310 0.0136 0.0136 0.4833 0.7209 0.2656 0.2784 0.7313 0.7978 0.2369 0.2558 0.0004 0.0004 257.6098 38.9294 30.414 15.207
215.2915 10.2273 900 0.3625 0.4051 0.7448 0.0936 0.1083 0.0851 0.0906 0.5479 0.6169 0.5148 0.5471 0.7603 0.8238 0.7711 0.8367 0.6610 0.7463 0.3951 0.4072 0.0 0.0 0.0949 0.1017 0.0 0.0 0.0 0.0 0.8115 0.8685 0.0 0.0 0.0 0.0 0.8469 0.9108 0.7845 0.8899 0.8062 0.9291 0.0 0.0 0.6156 0.6893 0.7448 0.8443 0.0 0.0 0.4163 0.4536 0.0 0.0 0.3355 0.3813 0.5338 0.5980 0.7388 0.8218 0.6260 0.6917 0.0 0.0 0.2517 0.2726 0.2802 0.3166 0.3158 0.3498 0.1821 0.1923 0.0 0.0 0.7468 0.8429 0.9222 0.9434 0.0 0.0 0.0 0.0 0.2973 0.5342 0.0 0.0 0.4724 0.6097 0.0874 0.0892 0.0 0.0 0.6087 0.6534 0.2839 0.3151 0.8148 0.9375 0.0433 0.0436 0.6323 0.7233 0.3467 0.3666 0.7244 0.7794 0.3347 0.3729 0.3239 0.3669 258.7867 42.3921 27.93 13.965
215.2915 10.2273 900 0.3625 0.4051 0.7448 0.0936 0.1083 0.0851 0.0906 0.5479 0.6169 0.5148 0.5471 0.7603 0.8238 0.7711 0.8367 0.6610 0.7463 0.3951 0.4072 0.0 0.0 0.0949 0.1017 0.0 0.0 0.0 0.0 0.8115 0.8685 0.0 0.0 0.0 0.0 0.8469 0.9108 0.7845 0.8899 0.8062 0.9291 0.0 0.0 0.6156 0.6893 0.7448 0.8443 0.0 0.0 0.4163 0.4536 0.0 0.0 0.3355 0.3813 0.5338 0.5980 0.7388 0.8218 0.6260 0.6917 0.0 0.0 0.2517 0.2726 0.2802 0.3166 0.3158 0.3498 0.1821 0.1923 0.0 0.0 0.7468 0.8429 0.9222 0.9434 0.0 0.0 0.0 0.0 0.2973 0.5342 0.0 0.0 0.4724 0.6097 0.0874 0.0892 0.0 0.0 0.6087 0.6534 0.2839 0.3151 0.8148 0.9375 0.0433 0.0436 0.6323 0.7233 0.3467 0.3666 0.7244 0.7794 0.3347 0.3729 0.3239 0.3669 258.7867 42.3921 27.93 13.965
207.2195 11.9318 1050 0.3695 0.4125 0.7414 0.1816 0.2529 0.0736 0.0769 0.5411 0.5978 0.5033 0.5390 0.7566 0.8328 0.7564 0.8021 0.6718 0.7623 0.6119 0.6298 0.0 0.0 0.1071 0.1159 0.0 0.0 0.0 0.0 0.8102 0.8638 0.0 0.0 0.0 0.0 0.8498 0.9188 0.7801 0.8624 0.7803 0.8813 0.0 0.0 0.6271 0.7113 0.7479 0.8370 0.0 0.0 0.3826 0.4172 0.0 0.0 0.3373 0.3802 0.5687 0.6466 0.7307 0.7958 0.6381 0.7185 0.0 0.0 0.2793 0.3084 0.2479 0.2812 0.3219 0.3633 0.1922 0.2029 0.0 0.0 0.7487 0.8332 0.9225 0.9463 0.0 0.0 0.0 0.0 0.2952 0.5377 0.0 0.0 0.4603 0.5883 0.0856 0.0877 0.0 0.0 0.6329 0.6984 0.3189 0.3600 0.8331 0.9370 0.0665 0.0683 0.6667 0.7367 0.2687 0.2801 0.7234 0.7805 0.3234 0.3558 0.3687 0.4402 258.6310 33.3011 35.554 17.777
207.2195 11.9318 1050 0.3695 0.4125 0.7414 0.1816 0.2529 0.0736 0.0769 0.5411 0.5978 0.5033 0.5390 0.7566 0.8328 0.7564 0.8021 0.6718 0.7623 0.6119 0.6298 0.0 0.0 0.1071 0.1159 0.0 0.0 0.0 0.0 0.8102 0.8638 0.0 0.0 0.0 0.0 0.8498 0.9188 0.7801 0.8624 0.7803 0.8813 0.0 0.0 0.6271 0.7113 0.7479 0.8370 0.0 0.0 0.3826 0.4172 0.0 0.0 0.3373 0.3802 0.5687 0.6466 0.7307 0.7958 0.6381 0.7185 0.0 0.0 0.2793 0.3084 0.2479 0.2812 0.3219 0.3633 0.1922 0.2029 0.0 0.0 0.7487 0.8332 0.9225 0.9463 0.0 0.0 0.0 0.0 0.2952 0.5377 0.0 0.0 0.4603 0.5883 0.0856 0.0877 0.0 0.0 0.6329 0.6984 0.3189 0.3600 0.8331 0.9370 0.0665 0.0683 0.6667 0.7367 0.2687 0.2801 0.7234 0.7805 0.3234 0.3558 0.3687 0.4402 258.6310 33.3011 35.554 17.777
200.5978 13.6364 1200 0.3725 0.4161 0.7371 0.1588 0.2321 0.0769 0.0799 0.5356 0.5825 0.4979 0.5283 0.7477 0.8023 0.7697 0.8301 0.6599 0.7323 0.6505 0.6715 0.0 0.0 0.0963 0.1065 0.0 0.0 0.0 0.0 0.8075 0.8557 0.0 0.0 0.0 0.0 0.8482 0.9126 0.7897 0.8642 0.7650 0.8805 0.0 0.0 0.6276 0.7029 0.7477 0.8485 0.0 0.0 0.3249 0.3462 0.0 0.0 0.3416 0.3917 0.5338 0.5977 0.7252 0.7876 0.6442 0.7233 0.0 0.0 0.2519 0.2733 0.2719 0.3156 0.3270 0.3690 0.2038 0.2180 0.0 0.0 0.7486 0.8391 0.9264 0.9493 0.0 0.0 0.0 0.0 0.3030 0.5449 0.0 0.0 0.4883 0.6230 0.0729 0.0742 0.0 0.0 0.6269 0.6819 0.3125 0.3480 0.8366 0.9340 0.1417 0.1473 0.6871 0.7659 0.3987 0.4161 0.7268 0.7882 0.3497 0.3882 0.3471 0.4872 260.1619 36.9767 32.02 16.01
200.5978 13.6364 1200 0.3725 0.4161 0.7371 0.1588 0.2321 0.0769 0.0799 0.5356 0.5825 0.4979 0.5283 0.7477 0.8023 0.7697 0.8301 0.6599 0.7323 0.6505 0.6715 0.0 0.0 0.0963 0.1065 0.0 0.0 0.0 0.0 0.8075 0.8557 0.0 0.0 0.0 0.0 0.8482 0.9126 0.7897 0.8642 0.7650 0.8805 0.0 0.0 0.6276 0.7029 0.7477 0.8485 0.0 0.0 0.3249 0.3462 0.0 0.0 0.3416 0.3917 0.5338 0.5977 0.7252 0.7876 0.6442 0.7233 0.0 0.0 0.2519 0.2733 0.2719 0.3156 0.3270 0.3690 0.2038 0.2180 0.0 0.0 0.7486 0.8391 0.9264 0.9493 0.0 0.0 0.0 0.0 0.3030 0.5449 0.0 0.0 0.4883 0.6230 0.0729 0.0742 0.0 0.0 0.6269 0.6819 0.3125 0.3480 0.8366 0.9340 0.1417 0.1473 0.6871 0.7659 0.3987 0.4161 0.7268 0.7882 0.3497 0.3882 0.3471 0.4872 260.1619 36.9767 32.02 16.01
195.4869 15.3409 1350 0.3666 0.4065 0.7256 0.1593 0.2381 0.0786 0.0817 0.5106 0.5564 0.5094 0.5397 0.7517 0.8068 0.7594 0.7927 0.6524 0.7172 0.5873 0.6034 0.0 0.0 0.0820 0.0893 0.0 0.0 0.0 0.0 0.8052 0.8525 0.0 0.0 0.0 0.0 0.8456 0.9113 0.7808 0.8471 0.7665 0.8728 0.0 0.0 0.6126 0.6776 0.7583 0.8440 0.0 0.0 0.2998 0.3189 0.0 0.0 0.3260 0.3688 0.5429 0.6139 0.7213 0.7766 0.6265 0.6912 0.0 0.0 0.2499 0.2753 0.2704 0.3095 0.3122 0.3520 0.2051 0.2184 0.0 0.0 0.7498 0.8351 0.9258 0.9492 0.0 0.0 0.0 0.0 0.3140 0.5445 0.0 0.0 0.4721 0.5819 0.0846 0.0864 0.0 0.0 0.6299 0.6871 0.3200 0.3603 0.8341 0.9341 0.1325 0.1382 0.6567 0.6942 0.3346 0.3486 0.7101 0.7628 0.3325 0.3701 0.3529 0.4880 260.4907 39.2993 30.128 15.064
195.4869 15.3409 1350 0.3666 0.4065 0.7256 0.1593 0.2381 0.0786 0.0817 0.5106 0.5564 0.5094 0.5397 0.7517 0.8068 0.7594 0.7927 0.6524 0.7172 0.5873 0.6034 0.0 0.0 0.0820 0.0893 0.0 0.0 0.0 0.0 0.8052 0.8525 0.0 0.0 0.0 0.0 0.8456 0.9113 0.7808 0.8471 0.7665 0.8728 0.0 0.0 0.6126 0.6776 0.7583 0.8440 0.0 0.0 0.2998 0.3189 0.0 0.0 0.3260 0.3688 0.5429 0.6139 0.7213 0.7766 0.6265 0.6912 0.0 0.0 0.2499 0.2753 0.2704 0.3095 0.3122 0.3520 0.2051 0.2184 0.0 0.0 0.7498 0.8351 0.9258 0.9492 0.0 0.0 0.0 0.0 0.3140 0.5445 0.0 0.0 0.4721 0.5819 0.0846 0.0864 0.0 0.0 0.6299 0.6871 0.3200 0.3603 0.8341 0.9341 0.1325 0.1382 0.6567 0.6942 0.3346 0.3486 0.7101 0.7628 0.3325 0.3701 0.3529 0.4880 260.4907 39.2993 30.128 15.064
192.7686 17.0455 1500 0.3712 0.4130 0.7311 0.1775 0.2636 0.0770 0.0800 0.5098 0.5542 0.5015 0.5313 0.7492 0.7996 0.7596 0.7940 0.6804 0.7551 0.6045 0.6217 0.0 0.0 0.1041 0.1163 0.0 0.0 0.0 0.0 0.8058 0.8540 0.0 0.0 0.0 0.0 0.8472 0.9109 0.7800 0.8468 0.7732 0.8801 0.0 0.0 0.6099 0.6727 0.7600 0.8441 0.0 0.0 0.3174 0.3377 0.0 0.0 0.3313 0.3760 0.5122 0.5669 0.7242 0.7849 0.6285 0.7029 0.0 0.0 0.2609 0.2879 0.2793 0.3229 0.3282 0.3706 0.2135 0.2285 0.0 0.0 0.7505 0.8385 0.9243 0.9518 0.0 0.0 0.0 0.0 0.3305 0.5736 0.0 0.0 0.4823 0.5947 0.0827 0.0843 0.0 0.0 0.6358 0.6965 0.3193 0.3576 0.8360 0.9338 0.1438 0.1505 0.6494 0.7110 0.3613 0.3773 0.7116 0.7677 0.3575 0.4042 0.3821 0.5317 261.2541 36.5147 32.425 16.213
192.7686 17.0455 1500 0.3712 0.4130 0.7311 0.1775 0.2636 0.0770 0.0800 0.5098 0.5542 0.5015 0.5313 0.7492 0.7996 0.7596 0.7940 0.6804 0.7551 0.6045 0.6217 0.0 0.0 0.1041 0.1163 0.0 0.0 0.0 0.0 0.8058 0.8540 0.0 0.0 0.0 0.0 0.8472 0.9109 0.7800 0.8468 0.7732 0.8801 0.0 0.0 0.6099 0.6727 0.7600 0.8441 0.0 0.0 0.3174 0.3377 0.0 0.0 0.3313 0.3760 0.5122 0.5669 0.7242 0.7849 0.6285 0.7029 0.0 0.0 0.2609 0.2879 0.2793 0.3229 0.3282 0.3706 0.2135 0.2285 0.0 0.0 0.7505 0.8385 0.9243 0.9518 0.0 0.0 0.0 0.0 0.3305 0.5736 0.0 0.0 0.4823 0.5947 0.0827 0.0843 0.0 0.0 0.6358 0.6965 0.3193 0.3576 0.8360 0.9338 0.1438 0.1505 0.6494 0.7110 0.3613 0.3773 0.7116 0.7677 0.3575 0.4042 0.3821 0.5317 261.2541 36.5147 32.425 16.213
191.1318 18.75 1650 0.3738 0.4172 0.7341 0.1763 0.2357 0.0785 0.0816 0.5229 0.5694 0.5144 0.5491 0.7512 0.8051 0.7585 0.8038 0.6800 0.7569 0.6079 0.6251 0.0 0.0 0.1140 0.1274 0.0 0.0 0.0 0.0 0.8077 0.8577 0.0 0.0 0.0 0.0 0.8477 0.9132 0.7791 0.8473 0.7820 0.8975 0.0 0.0 0.6104 0.6762 0.7591 0.8424 0.0 0.0 0.3416 0.3705 0.0 0.0 0.3338 0.3816 0.5226 0.5838 0.7258 0.7853 0.6264 0.6989 0.0 0.0 0.2530 0.2760 0.2795 0.3228 0.3356 0.3811 0.2145 0.2300 0.0 0.0 0.7505 0.8395 0.9236 0.9515 0.0 0.0 0.0 0.0 0.3268 0.5797 0.0 0.0 0.4921 0.6225 0.0886 0.0904 0.0 0.0 0.6343 0.6951 0.3391 0.3889 0.8342 0.9333 0.1469 0.1538 0.6355 0.6966 0.3825 0.4003 0.7119 0.7690 0.3640 0.4130 0.3848 0.5424 261.3355 39.6948 29.828 14.914
191.1318 18.75 1650 0.3738 0.4172 0.7341 0.1763 0.2357 0.0785 0.0816 0.5229 0.5694 0.5144 0.5491 0.7512 0.8051 0.7585 0.8038 0.6800 0.7569 0.6079 0.6251 0.0 0.0 0.1140 0.1274 0.0 0.0 0.0 0.0 0.8077 0.8577 0.0 0.0 0.0 0.0 0.8477 0.9132 0.7791 0.8473 0.7820 0.8975 0.0 0.0 0.6104 0.6762 0.7591 0.8424 0.0 0.0 0.3416 0.3705 0.0 0.0 0.3338 0.3816 0.5226 0.5838 0.7258 0.7853 0.6264 0.6989 0.0 0.0 0.2530 0.2760 0.2795 0.3228 0.3356 0.3811 0.2145 0.2300 0.0 0.0 0.7505 0.8395 0.9236 0.9515 0.0 0.0 0.0 0.0 0.3268 0.5797 0.0 0.0 0.4921 0.6225 0.0886 0.0904 0.0 0.0 0.6343 0.6951 0.3391 0.3889 0.8342 0.9333 0.1469 0.1538 0.6355 0.6966 0.3825 0.4003 0.7119 0.7690 0.3640 0.4130 0.3848 0.5424 261.3355 39.6948 29.828 14.914

Framework versions

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