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st-karlos-efood
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setfit-multilabel-example-classifier-chain

Text Classification
setfit
Safetensors
sentence-transformers
xlm-roberta
generated_from_setfit_trainer
Eval Results
Model card Files Community
st-karlos-efood commited on
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92587e1
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1 Parent(s): 65d55d3

Add SetFit model

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Files changed (3) hide show
  1. README.md +341 -2
  2. model.safetensors +1 -1
  3. model_head.pkl +1 -1
README.md CHANGED
@@ -34,7 +34,7 @@ model-index:
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  split: test
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  metrics:
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  - type: accuracy
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- value: 0.208
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  name: Accuracy
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  ---
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@@ -70,7 +70,7 @@ The model has been trained using an efficient few-shot learning technique that i
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  ### Metrics
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  | Label | Accuracy |
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  |:--------|:---------|
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- | **all** | 0.208 |
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  ## Uses
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@@ -474,6 +474,345 @@ preds = model("Hindus take my ass please")
474
  | 9.9330 | 16300 | 0.0552 | - |
475
  | 9.9634 | 16350 | 0.1032 | - |
476
  | 9.9939 | 16400 | 0.0935 | - |
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
477
 
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  ### Framework Versions
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  - Python: 3.10.12
 
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  split: test
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  metrics:
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  - type: accuracy
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+ value: 0.192
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  name: Accuracy
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  ---
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70
  ### Metrics
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  | Label | Accuracy |
72
  |:--------|:---------|
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+ | **all** | 0.192 |
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75
  ## Uses
76
 
 
474
  | 9.9330 | 16300 | 0.0552 | - |
475
  | 9.9634 | 16350 | 0.1032 | - |
476
  | 9.9939 | 16400 | 0.0935 | - |
477
+ | 0.0006 | 1 | 0.0579 | - |
478
+ | 0.0305 | 50 | 0.0231 | - |
479
+ | 0.0609 | 100 | 0.0598 | - |
480
+ | 0.0914 | 150 | 0.0541 | - |
481
+ | 0.1219 | 200 | 0.0534 | - |
482
+ | 0.1523 | 250 | 0.048 | - |
483
+ | 0.1828 | 300 | 0.0912 | - |
484
+ | 0.2133 | 350 | 0.0447 | - |
485
+ | 0.2438 | 400 | 0.0442 | - |
486
+ | 0.2742 | 450 | 0.0579 | - |
487
+ | 0.0006 | 1 | 0.0585 | - |
488
+ | 0.0305 | 50 | 0.0204 | - |
489
+ | 0.0609 | 100 | 0.0653 | - |
490
+ | 0.0914 | 150 | 0.0599 | - |
491
+ | 0.1219 | 200 | 0.0577 | - |
492
+ | 0.1523 | 250 | 0.0468 | - |
493
+ | 0.1828 | 300 | 0.0911 | - |
494
+ | 0.2133 | 350 | 0.0423 | - |
495
+ | 0.2438 | 400 | 0.0405 | - |
496
+ | 0.2742 | 450 | 0.0561 | - |
497
+ | 0.3047 | 500 | 0.0925 | - |
498
+ | 0.3352 | 550 | 0.0771 | - |
499
+ | 0.3656 | 600 | 0.0718 | - |
500
+ | 0.3961 | 650 | 0.0708 | - |
501
+ | 0.4266 | 700 | 0.0673 | - |
502
+ | 0.4570 | 750 | 0.1501 | - |
503
+ | 0.4875 | 800 | 0.0849 | - |
504
+ | 0.5180 | 850 | 0.1132 | - |
505
+ | 0.5484 | 900 | 0.0865 | - |
506
+ | 0.5789 | 950 | 0.0527 | - |
507
+ | 0.6094 | 1000 | 0.0552 | - |
508
+ | 0.6399 | 1050 | 0.0656 | - |
509
+ | 0.6703 | 1100 | 0.0648 | - |
510
+ | 0.7008 | 1150 | 0.0884 | - |
511
+ | 0.7313 | 1200 | 0.0803 | - |
512
+ | 0.7617 | 1250 | 0.083 | - |
513
+ | 0.7922 | 1300 | 0.0863 | - |
514
+ | 0.8227 | 1350 | 0.0731 | - |
515
+ | 0.8531 | 1400 | 0.0504 | - |
516
+ | 0.8836 | 1450 | 0.1039 | - |
517
+ | 0.9141 | 1500 | 0.0817 | - |
518
+ | 0.9445 | 1550 | 0.0655 | - |
519
+ | 0.9750 | 1600 | 0.0987 | - |
520
+ | 1.0055 | 1650 | 0.0905 | - |
521
+ | 1.0360 | 1700 | 0.088 | - |
522
+ | 1.0664 | 1750 | 0.0767 | - |
523
+ | 1.0969 | 1800 | 0.0574 | - |
524
+ | 1.1274 | 1850 | 0.0741 | - |
525
+ | 1.1578 | 1900 | 0.0529 | - |
526
+ | 1.1883 | 1950 | 0.0758 | - |
527
+ | 1.2188 | 2000 | 0.1253 | - |
528
+ | 1.2492 | 2050 | 0.1129 | - |
529
+ | 1.2797 | 2100 | 0.0852 | - |
530
+ | 1.3102 | 2150 | 0.0475 | - |
531
+ | 1.3406 | 2200 | 0.063 | - |
532
+ | 1.3711 | 2250 | 0.0893 | - |
533
+ | 1.4016 | 2300 | 0.0494 | - |
534
+ | 1.4321 | 2350 | 0.1083 | - |
535
+ | 1.4625 | 2400 | 0.0468 | - |
536
+ | 1.4930 | 2450 | 0.0902 | - |
537
+ | 1.5235 | 2500 | 0.0607 | - |
538
+ | 1.5539 | 2550 | 0.0571 | - |
539
+ | 1.5844 | 2600 | 0.0395 | - |
540
+ | 1.6149 | 2650 | 0.1184 | - |
541
+ | 1.6453 | 2700 | 0.0735 | - |
542
+ | 1.6758 | 2750 | 0.06 | - |
543
+ | 1.7063 | 2800 | 0.0646 | - |
544
+ | 1.7367 | 2850 | 0.1055 | - |
545
+ | 1.7672 | 2900 | 0.0592 | - |
546
+ | 1.7977 | 2950 | 0.0522 | - |
547
+ | 1.8282 | 3000 | 0.1025 | - |
548
+ | 1.8586 | 3050 | 0.0615 | - |
549
+ | 1.8891 | 3100 | 0.1491 | - |
550
+ | 1.9196 | 3150 | 0.0796 | - |
551
+ | 1.9500 | 3200 | 0.0768 | - |
552
+ | 1.9805 | 3250 | 0.0601 | - |
553
+ | 2.0110 | 3300 | 0.0543 | - |
554
+ | 2.0414 | 3350 | 0.1128 | - |
555
+ | 2.0719 | 3400 | 0.06 | - |
556
+ | 2.1024 | 3450 | 0.0994 | - |
557
+ | 2.1328 | 3500 | 0.1018 | - |
558
+ | 2.1633 | 3550 | 0.0915 | - |
559
+ | 2.1938 | 3600 | 0.0626 | - |
560
+ | 2.2243 | 3650 | 0.0454 | - |
561
+ | 2.2547 | 3700 | 0.0915 | - |
562
+ | 2.2852 | 3750 | 0.0334 | - |
563
+ | 2.3157 | 3800 | 0.0827 | - |
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+ | 2.3461 | 3850 | 0.0709 | - |
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+ | 2.3766 | 3900 | 0.0806 | - |
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+ | 2.4071 | 3950 | 0.055 | - |
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+ | 2.4375 | 4000 | 0.0571 | - |
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+ | 2.4680 | 4050 | 0.1002 | - |
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+ | 2.4985 | 4100 | 0.0492 | - |
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+ | 2.5289 | 4150 | 0.1322 | - |
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+ | 2.5594 | 4200 | 0.0961 | - |
572
+ | 2.5899 | 4250 | 0.0788 | - |
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+ | 2.6204 | 4300 | 0.0243 | - |
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+ | 2.6508 | 4350 | 0.0406 | - |
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+ | 2.6813 | 4400 | 0.0786 | - |
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+ | 2.7118 | 4450 | 0.0852 | - |
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+ | 2.7422 | 4500 | 0.0789 | - |
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+ | 2.7727 | 4550 | 0.0787 | - |
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+ | 2.8032 | 4600 | 0.1152 | - |
580
+ | 2.8336 | 4650 | 0.0992 | - |
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+ | 2.8641 | 4700 | 0.0599 | - |
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+ | 2.8946 | 4750 | 0.0496 | - |
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+ | 2.9250 | 4800 | 0.0444 | - |
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+ | 2.9555 | 4850 | 0.0898 | - |
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+ | 2.9860 | 4900 | 0.0422 | - |
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+ | 3.0165 | 4950 | 0.0328 | - |
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+ | 3.0469 | 5000 | 0.0584 | - |
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+ | 3.0774 | 5050 | 0.052 | - |
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+ | 3.1079 | 5100 | 0.0485 | - |
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+ | 3.1383 | 5150 | 0.0542 | - |
591
+ | 3.1688 | 5200 | 0.0854 | - |
592
+ | 3.1993 | 5250 | 0.048 | - |
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+ | 3.2297 | 5300 | 0.0417 | - |
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+ | 3.2602 | 5350 | 0.0497 | - |
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+ | 3.2907 | 5400 | 0.0809 | - |
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+ | 3.3211 | 5450 | 0.074 | - |
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+ | 3.3516 | 5500 | 0.0761 | - |
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+ | 3.3821 | 5550 | 0.0768 | - |
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+ | 3.4126 | 5600 | 0.0954 | - |
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+ | 3.4430 | 5650 | 0.0955 | - |
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+ | 3.4735 | 5700 | 0.0906 | - |
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+ | 3.5040 | 5750 | 0.0916 | - |
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+ | 3.5344 | 5800 | 0.0915 | - |
604
+ | 3.5649 | 5850 | 0.107 | - |
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+ | 3.5954 | 5900 | 0.0327 | - |
606
+ | 3.6258 | 5950 | 0.0534 | - |
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+ | 3.6563 | 6000 | 0.059 | - |
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+ | 3.6868 | 6050 | 0.0806 | - |
609
+ | 3.7172 | 6100 | 0.0941 | - |
610
+ | 3.7477 | 6150 | 0.1368 | - |
611
+ | 3.7782 | 6200 | 0.0848 | - |
612
+ | 3.8087 | 6250 | 0.0625 | - |
613
+ | 3.8391 | 6300 | 0.103 | - |
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+ | 3.8696 | 6350 | 0.0307 | - |
615
+ | 3.9001 | 6400 | 0.0716 | - |
616
+ | 3.9305 | 6450 | 0.0518 | - |
617
+ | 3.9610 | 6500 | 0.0645 | - |
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+ | 3.9915 | 6550 | 0.0417 | - |
619
+ | 4.0219 | 6600 | 0.0588 | - |
620
+ | 4.0524 | 6650 | 0.047 | - |
621
+ | 4.0829 | 6700 | 0.0951 | - |
622
+ | 4.1133 | 6750 | 0.0689 | - |
623
+ | 4.1438 | 6800 | 0.0731 | - |
624
+ | 4.1743 | 6850 | 0.0785 | - |
625
+ | 4.2048 | 6900 | 0.0411 | - |
626
+ | 4.2352 | 6950 | 0.0568 | - |
627
+ | 4.2657 | 7000 | 0.0688 | - |
628
+ | 4.2962 | 7050 | 0.066 | - |
629
+ | 4.3266 | 7100 | 0.0313 | - |
630
+ | 4.3571 | 7150 | 0.1127 | - |
631
+ | 4.3876 | 7200 | 0.1347 | - |
632
+ | 4.4180 | 7250 | 0.0685 | - |
633
+ | 4.4485 | 7300 | 0.0693 | - |
634
+ | 4.4790 | 7350 | 0.053 | - |
635
+ | 4.5094 | 7400 | 0.1353 | - |
636
+ | 4.5399 | 7450 | 0.1057 | - |
637
+ | 4.5704 | 7500 | 0.0467 | - |
638
+ | 4.6009 | 7550 | 0.1059 | - |
639
+ | 4.6313 | 7600 | 0.0791 | - |
640
+ | 4.6618 | 7650 | 0.0928 | - |
641
+ | 4.6923 | 7700 | 0.0989 | - |
642
+ | 4.7227 | 7750 | 0.0619 | - |
643
+ | 4.7532 | 7800 | 0.0572 | - |
644
+ | 4.7837 | 7850 | 0.06 | - |
645
+ | 4.8141 | 7900 | 0.0711 | - |
646
+ | 4.8446 | 7950 | 0.0595 | - |
647
+ | 4.8751 | 8000 | 0.0675 | - |
648
+ | 4.9055 | 8050 | 0.0487 | - |
649
+ | 4.9360 | 8100 | 0.0569 | - |
650
+ | 4.9665 | 8150 | 0.0637 | - |
651
+ | 4.9970 | 8200 | 0.0634 | - |
652
+ | 5.0274 | 8250 | 0.093 | - |
653
+ | 5.0579 | 8300 | 0.1107 | - |
654
+ | 5.0884 | 8350 | 0.0883 | - |
655
+ | 5.1188 | 8400 | 0.051 | - |
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+ | 5.1493 | 8450 | 0.1034 | - |
657
+ | 5.1798 | 8500 | 0.0832 | - |
658
+ | 5.2102 | 8550 | 0.0463 | - |
659
+ | 5.2407 | 8600 | 0.0596 | - |
660
+ | 5.2712 | 8650 | 0.078 | - |
661
+ | 5.3016 | 8700 | 0.0686 | - |
662
+ | 5.3321 | 8750 | 0.1053 | - |
663
+ | 5.3626 | 8800 | 0.0684 | - |
664
+ | 5.3931 | 8850 | 0.0684 | - |
665
+ | 5.4235 | 8900 | 0.092 | - |
666
+ | 5.4540 | 8950 | 0.088 | - |
667
+ | 5.4845 | 9000 | 0.0503 | - |
668
+ | 5.5149 | 9050 | 0.0752 | - |
669
+ | 5.5454 | 9100 | 0.0975 | - |
670
+ | 5.5759 | 9150 | 0.1306 | - |
671
+ | 5.6063 | 9200 | 0.1038 | - |
672
+ | 5.6368 | 9250 | 0.0573 | - |
673
+ | 5.6673 | 9300 | 0.0584 | - |
674
+ | 5.6977 | 9350 | 0.0309 | - |
675
+ | 5.7282 | 9400 | 0.1232 | - |
676
+ | 5.7587 | 9450 | 0.0991 | - |
677
+ | 5.7892 | 9500 | 0.1111 | - |
678
+ | 5.8196 | 9550 | 0.0845 | - |
679
+ | 5.8501 | 9600 | 0.0587 | - |
680
+ | 5.8806 | 9650 | 0.0589 | - |
681
+ | 5.9110 | 9700 | 0.0751 | - |
682
+ | 5.9415 | 9750 | 0.0929 | - |
683
+ | 5.9720 | 9800 | 0.0613 | - |
684
+ | 6.0024 | 9850 | 0.0578 | - |
685
+ | 6.0329 | 9900 | 0.0499 | - |
686
+ | 6.0634 | 9950 | 0.0435 | - |
687
+ | 6.0938 | 10000 | 0.0547 | - |
688
+ | 6.1243 | 10050 | 0.0549 | - |
689
+ | 6.1548 | 10100 | 0.0872 | - |
690
+ | 6.1853 | 10150 | 0.0509 | - |
691
+ | 6.2157 | 10200 | 0.0913 | - |
692
+ | 6.2462 | 10250 | 0.0581 | - |
693
+ | 6.2767 | 10300 | 0.0942 | - |
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+ | 6.3071 | 10350 | 0.0273 | - |
695
+ | 6.3376 | 10400 | 0.0426 | - |
696
+ | 6.3681 | 10450 | 0.0825 | - |
697
+ | 6.3985 | 10500 | 0.0713 | - |
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+ | 6.4290 | 10550 | 0.0698 | - |
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+ | 6.4595 | 10600 | 0.0679 | - |
700
+ | 6.4899 | 10650 | 0.0631 | - |
701
+ | 6.5204 | 10700 | 0.0489 | - |
702
+ | 6.5509 | 10750 | 0.0599 | - |
703
+ | 6.5814 | 10800 | 0.033 | - |
704
+ | 6.6118 | 10850 | 0.0401 | - |
705
+ | 6.6423 | 10900 | 0.0782 | - |
706
+ | 6.6728 | 10950 | 0.0512 | - |
707
+ | 6.7032 | 11000 | 0.0939 | - |
708
+ | 6.7337 | 11050 | 0.0523 | - |
709
+ | 6.7642 | 11100 | 0.0784 | - |
710
+ | 6.7946 | 11150 | 0.0898 | - |
711
+ | 6.8251 | 11200 | 0.042 | - |
712
+ | 6.8556 | 11250 | 0.0616 | - |
713
+ | 6.8860 | 11300 | 0.0667 | - |
714
+ | 6.9165 | 11350 | 0.0807 | - |
715
+ | 6.9470 | 11400 | 0.1054 | - |
716
+ | 6.9775 | 11450 | 0.0961 | - |
717
+ | 7.0079 | 11500 | 0.0896 | - |
718
+ | 7.0384 | 11550 | 0.0463 | - |
719
+ | 7.0689 | 11600 | 0.065 | - |
720
+ | 7.0993 | 11650 | 0.0318 | - |
721
+ | 7.1298 | 11700 | 0.0692 | - |
722
+ | 7.1603 | 11750 | 0.1055 | - |
723
+ | 7.1907 | 11800 | 0.0619 | - |
724
+ | 7.2212 | 11850 | 0.1234 | - |
725
+ | 7.2517 | 11900 | 0.0698 | - |
726
+ | 7.2821 | 11950 | 0.0526 | - |
727
+ | 7.3126 | 12000 | 0.0695 | - |
728
+ | 7.3431 | 12050 | 0.051 | - |
729
+ | 7.3736 | 12100 | 0.0759 | - |
730
+ | 7.4040 | 12150 | 0.062 | - |
731
+ | 7.4345 | 12200 | 0.0509 | - |
732
+ | 7.4650 | 12250 | 0.0874 | - |
733
+ | 7.4954 | 12300 | 0.0534 | - |
734
+ | 7.5259 | 12350 | 0.1089 | - |
735
+ | 7.5564 | 12400 | 0.0516 | - |
736
+ | 7.5868 | 12450 | 0.0755 | - |
737
+ | 7.6173 | 12500 | 0.0295 | - |
738
+ | 7.6478 | 12550 | 0.1767 | - |
739
+ | 7.6782 | 12600 | 0.0744 | - |
740
+ | 7.7087 | 12650 | 0.0875 | - |
741
+ | 7.7392 | 12700 | 0.075 | - |
742
+ | 7.7697 | 12750 | 0.0583 | - |
743
+ | 7.8001 | 12800 | 0.0353 | - |
744
+ | 7.8306 | 12850 | 0.0638 | - |
745
+ | 7.8611 | 12900 | 0.045 | - |
746
+ | 7.8915 | 12950 | 0.0647 | - |
747
+ | 7.9220 | 13000 | 0.0593 | - |
748
+ | 7.9525 | 13050 | 0.0515 | - |
749
+ | 7.9829 | 13100 | 0.0705 | - |
750
+ | 8.0134 | 13150 | 0.0521 | - |
751
+ | 8.0439 | 13200 | 0.059 | - |
752
+ | 8.0743 | 13250 | 0.0758 | - |
753
+ | 8.1048 | 13300 | 0.0922 | - |
754
+ | 8.1353 | 13350 | 0.0859 | - |
755
+ | 8.1658 | 13400 | 0.0526 | - |
756
+ | 8.1962 | 13450 | 0.0892 | - |
757
+ | 8.2267 | 13500 | 0.0665 | - |
758
+ | 8.2572 | 13550 | 0.0711 | - |
759
+ | 8.2876 | 13600 | 0.0535 | - |
760
+ | 8.3181 | 13650 | 0.055 | - |
761
+ | 8.3486 | 13700 | 0.0516 | - |
762
+ | 8.3790 | 13750 | 0.0683 | - |
763
+ | 8.4095 | 13800 | 0.0959 | - |
764
+ | 8.4400 | 13850 | 0.0901 | - |
765
+ | 8.4704 | 13900 | 0.041 | - |
766
+ | 8.5009 | 13950 | 0.0464 | - |
767
+ | 8.5314 | 14000 | 0.0726 | - |
768
+ | 8.5619 | 14050 | 0.0959 | - |
769
+ | 8.5923 | 14100 | 0.0739 | - |
770
+ | 8.6228 | 14150 | 0.1083 | - |
771
+ | 8.6533 | 14200 | 0.0374 | - |
772
+ | 8.6837 | 14250 | 0.0767 | - |
773
+ | 8.7142 | 14300 | 0.0626 | - |
774
+ | 8.7447 | 14350 | 0.0847 | - |
775
+ | 8.7751 | 14400 | 0.1211 | - |
776
+ | 8.8056 | 14450 | 0.0457 | - |
777
+ | 8.8361 | 14500 | 0.0705 | - |
778
+ | 8.8665 | 14550 | 0.06 | - |
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+ | 8.8970 | 14600 | 0.052 | - |
780
+ | 8.9275 | 14650 | 0.0677 | - |
781
+ | 8.9580 | 14700 | 0.0747 | - |
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+ | 8.9884 | 14750 | 0.0877 | - |
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+ | 9.0189 | 14800 | 0.0791 | - |
784
+ | 9.0494 | 14850 | 0.0573 | - |
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+ | 9.0798 | 14900 | 0.0786 | - |
786
+ | 9.1103 | 14950 | 0.0376 | - |
787
+ | 9.1408 | 15000 | 0.0964 | - |
788
+ | 9.1712 | 15050 | 0.0542 | - |
789
+ | 9.2017 | 15100 | 0.0568 | - |
790
+ | 9.2322 | 15150 | 0.0583 | - |
791
+ | 9.2626 | 15200 | 0.0861 | - |
792
+ | 9.2931 | 15250 | 0.0994 | - |
793
+ | 9.3236 | 15300 | 0.0614 | - |
794
+ | 9.3541 | 15350 | 0.0689 | - |
795
+ | 9.3845 | 15400 | 0.0803 | - |
796
+ | 9.4150 | 15450 | 0.0599 | - |
797
+ | 9.4455 | 15500 | 0.0952 | - |
798
+ | 9.4759 | 15550 | 0.0597 | - |
799
+ | 9.5064 | 15600 | 0.0762 | - |
800
+ | 9.5369 | 15650 | 0.0718 | - |
801
+ | 9.5673 | 15700 | 0.0794 | - |
802
+ | 9.5978 | 15750 | 0.0721 | - |
803
+ | 9.6283 | 15800 | 0.0966 | - |
804
+ | 9.6587 | 15850 | 0.0604 | - |
805
+ | 9.6892 | 15900 | 0.0764 | - |
806
+ | 9.7197 | 15950 | 0.0707 | - |
807
+ | 9.7502 | 16000 | 0.0724 | - |
808
+ | 9.7806 | 16050 | 0.1072 | - |
809
+ | 9.8111 | 16100 | 0.0728 | - |
810
+ | 9.8416 | 16150 | 0.0516 | - |
811
+ | 9.8720 | 16200 | 0.0519 | - |
812
+ | 9.9025 | 16250 | 0.1077 | - |
813
+ | 9.9330 | 16300 | 0.0539 | - |
814
+ | 9.9634 | 16350 | 0.095 | - |
815
+ | 9.9939 | 16400 | 0.0957 | - |
816
 
817
  ### Framework Versions
818
  - Python: 3.10.12
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