image-classification generated_from_trainer

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vit-large-artifacts

This model is a fine-tuned version of kakaobrain/vit-large-patch16-512 on the KyriaAnnwyn/artifacts_ds dataset. It achieves the following results on the evaluation set:

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:

Training results

Training Loss Epoch Step Validation Loss Accuracy
0.7001 0.01 100 0.6414 0.6559
0.6288 0.01 200 0.6666 0.6559
0.7237 0.02 300 0.7087 0.6559
0.8741 0.03 400 0.6739 0.6257
0.6093 0.04 500 0.6462 0.6559
0.5801 0.04 600 0.6822 0.6559
0.594 0.05 700 1.9948 0.6395
0.7724 0.06 800 0.6566 0.6553
0.6976 0.07 900 0.6774 0.6325
0.6583 0.07 1000 0.7175 0.3517
0.6779 0.08 1100 0.7012 0.6559
0.6478 0.09 1200 0.6336 0.6559
0.7405 0.1 1300 0.6577 0.6559
0.7362 0.1 1400 0.6630 0.6142
0.535 0.11 1500 0.7445 0.6559
0.7338 0.12 1600 0.7046 0.4718
0.6519 0.13 1700 0.6601 0.6426
0.5969 0.13 1800 0.6518 0.6559
0.5992 0.14 1900 0.6544 0.6559
0.5762 0.15 2000 0.6608 0.6559
0.6483 0.16 2100 0.6436 0.6331
0.7594 0.16 2200 0.7562 0.5213
0.6423 0.17 2300 0.6326 0.6433
0.7006 0.18 2400 0.6669 0.6108
0.833 0.19 2500 0.7043 0.6559
0.6133 0.19 2600 0.6356 0.6532
0.5285 0.2 2700 0.6619 0.6606
0.7209 0.21 2800 0.7306 0.4196
0.682 0.22 2900 0.6400 0.6539
0.7148 0.22 3000 0.6421 0.6559
0.6288 0.23 3100 0.7416 0.6559
0.666 0.24 3200 0.6368 0.6293
0.772 0.25 3300 0.6973 0.4985
0.6778 0.25 3400 0.6288 0.6604
0.5939 0.26 3500 0.6566 0.6559
0.6246 0.27 3600 0.6347 0.6618
0.649 0.28 3700 0.6353 0.6277
0.7122 0.28 3800 0.6407 0.6559
0.6292 0.29 3900 0.6776 0.6560
0.6079 0.3 4000 0.6220 0.6609
0.6971 0.31 4100 0.6258 0.6394
0.7131 0.31 4200 0.7202 0.6556
0.5346 0.32 4300 0.6394 0.6571
0.5801 0.33 4400 0.6960 0.6664
0.6806 0.34 4500 0.6339 0.6348
0.6245 0.34 4600 0.6226 0.6477
0.6905 0.35 4700 0.6203 0.6533
0.741 0.36 4800 0.6464 0.6680
0.5712 0.37 4900 0.6162 0.6640
0.5566 0.37 5000 0.6182 0.6507
0.6443 0.38 5100 0.6457 0.6664
0.6107 0.39 5200 0.6092 0.6617
0.5824 0.4 5300 0.6383 0.6571
0.4775 0.4 5400 0.6606 0.6621
0.7114 0.41 5500 0.6179 0.6619
0.7701 0.42 5600 0.7982 0.4217
0.6974 0.42 5700 0.6223 0.6540
0.6669 0.43 5800 0.6249 0.6559
0.6982 0.44 5900 0.6287 0.6564
0.5811 0.45 6000 0.6104 0.6506
0.4347 0.45 6100 1.0475 0.6559
0.5885 0.46 6200 0.6125 0.6552
0.6867 0.47 6300 0.6435 0.6468
0.6088 0.48 6400 0.6047 0.6623
0.8194 0.48 6500 0.6972 0.6589
0.8182 0.49 6600 0.6053 0.6644
0.6104 0.5 6700 0.7375 0.6571
0.5552 0.51 6800 0.6231 0.6402
0.6451 0.51 6900 0.6452 0.6561
0.7849 0.52 7000 0.6177 0.6612
0.64 0.53 7100 0.6307 0.6234
0.6393 0.54 7200 0.6130 0.6554
0.8326 0.54 7300 0.7210 0.6421
0.6579 0.55 7400 0.6227 0.6544
0.5195 0.56 7500 0.6619 0.6557
0.6197 0.57 7600 0.6354 0.6498
0.8507 0.57 7700 0.6820 0.6550
0.7163 0.58 7800 0.6720 0.5328
0.6896 0.59 7900 0.6530 0.6386
0.62 0.6 8000 0.6296 0.6559
0.8254 0.6 8100 0.6752 0.6200
0.7653 0.61 8200 0.7118 0.6558
0.7742 0.62 8300 0.6262 0.6497
0.6861 0.63 8400 0.6799 0.5566
0.5652 0.63 8500 0.6708 0.6559
0.7486 0.64 8600 0.6319 0.6559
0.6204 0.65 8700 0.6407 0.6530
0.673 0.66 8800 0.7154 0.4672
0.7272 0.66 8900 0.6323 0.6528
0.7364 0.67 9000 0.6436 0.6188
0.71 0.68 9100 0.6507 0.5924
0.6767 0.69 9200 0.6347 0.6575
0.7046 0.69 9300 0.6723 0.6127
0.7486 0.7 9400 0.6328 0.6485
0.7646 0.71 9500 0.6244 0.6550
0.5971 0.72 9600 0.6610 0.6558
0.6195 0.72 9700 0.6219 0.6515
0.6891 0.73 9800 0.6300 0.6619
0.6829 0.74 9900 0.6312 0.6568
0.4786 0.75 10000 0.7160 0.6573
0.6093 0.75 10100 0.6245 0.6503
0.672 0.76 10200 0.6248 0.6577
0.6734 0.77 10300 0.6541 0.6600
0.7826 0.78 10400 0.6413 0.6559
0.6851 0.78 10500 0.6478 0.6006
0.6776 0.79 10600 0.6453 0.6175
0.7322 0.8 10700 0.6188 0.6353
0.5144 0.81 10800 0.6762 0.6571
0.6977 0.81 10900 0.6559 0.6544
0.5681 0.82 11000 0.7225 0.6559
0.6449 0.83 11100 0.6372 0.6576
0.6067 0.83 11200 0.6207 0.6391
0.5921 0.84 11300 0.6178 0.6538
0.5373 0.85 11400 0.7370 0.6559
0.6926 0.86 11500 0.6346 0.6372
0.6634 0.86 11600 0.6274 0.6489
0.61 0.87 11700 0.6309 0.6427
0.6214 0.88 11800 0.6273 0.6480
0.6202 0.89 11900 0.6255 0.6559
0.6153 0.89 12000 0.6348 0.6459
0.7062 0.9 12100 0.6283 0.6512
0.6977 0.91 12200 0.6159 0.6515
0.6041 0.92 12300 0.6251 0.6504
0.6609 0.92 12400 0.6633 0.5870
0.7565 0.93 12500 0.6200 0.6562
0.6133 0.94 12600 0.6193 0.6527
0.7066 0.95 12700 0.6279 0.6180
0.5706 0.95 12800 0.6128 0.6575
0.6992 0.96 12900 0.6334 0.6449
0.6834 0.97 13000 0.6258 0.6591
0.6069 0.98 13100 0.6290 0.6620
0.743 0.98 13200 0.6110 0.6562
0.5226 0.99 13300 0.6165 0.6557
0.7359 1.0 13400 0.6207 0.6376
0.5812 1.01 13500 0.6192 0.6559
0.666 1.01 13600 0.6347 0.6602
0.5489 1.02 13700 0.6107 0.6459
0.701 1.03 13800 0.6172 0.6518
0.4873 1.04 13900 0.6786 0.6559
0.5807 1.04 14000 0.6636 0.6433
0.6824 1.05 14100 0.6176 0.6315
0.6012 1.06 14200 0.6097 0.6617
0.4865 1.07 14300 0.6103 0.6623
0.5612 1.07 14400 0.6947 0.6559
0.5968 1.08 14500 0.6559 0.5981
0.5657 1.09 14600 0.6076 0.6509
0.4778 1.1 14700 0.6808 0.6535
0.6047 1.1 14800 0.6131 0.6480
0.5999 1.11 14900 0.6120 0.6559
0.5852 1.12 15000 0.6356 0.6553
0.7033 1.13 15100 0.6578 0.6647
0.5925 1.13 15200 0.6153 0.6633
0.5959 1.14 15300 0.6306 0.6211
0.5929 1.15 15400 0.6246 0.6655
0.5621 1.16 15500 0.6126 0.6424
0.5508 1.16 15600 0.6844 0.6559
0.6276 1.17 15700 0.6066 0.6531
1.0359 1.18 15800 0.6271 0.6617
0.6191 1.19 15900 0.6166 0.6480
0.7095 1.19 16000 0.6228 0.6462
0.6567 1.2 16100 0.6066 0.6653
0.5653 1.21 16200 0.6022 0.6605
0.6894 1.21 16300 0.6216 0.6568
0.608 1.22 16400 0.6041 0.6559
0.665 1.23 16500 0.6111 0.6564
0.6753 1.24 16600 0.6138 0.6581
0.6213 1.24 16700 0.6121 0.6380
0.6983 1.25 16800 0.6166 0.6661
0.8521 1.26 16900 0.6202 0.6461
0.4927 1.27 17000 0.6313 0.6547
0.6414 1.27 17100 0.6011 0.6667
0.539 1.28 17200 0.6451 0.6664
0.5118 1.29 17300 0.6243 0.6641
0.7512 1.3 17400 0.6257 0.6586
0.5943 1.3 17500 0.6186 0.6423
0.5861 1.31 17600 0.6435 0.6638
0.7065 1.32 17700 0.6197 0.6279
0.5973 1.33 17800 0.6081 0.6535
0.5997 1.33 17900 0.6053 0.6608
0.7091 1.34 18000 0.6013 0.6644
0.691 1.35 18100 0.6103 0.6654
0.5559 1.36 18200 0.6110 0.6658
0.6309 1.36 18300 0.6067 0.6664
0.6262 1.37 18400 0.6027 0.6616
0.5551 1.38 18500 0.6106 0.6671
0.6703 1.39 18600 0.6043 0.6576
0.6849 1.39 18700 0.6018 0.6616
0.6136 1.4 18800 0.6324 0.6629
0.7075 1.41 18900 0.6057 0.6561
0.6036 1.42 19000 0.6081 0.6559
0.6549 1.42 19100 0.6352 0.6655
0.5168 1.43 19200 0.6042 0.6632
0.5864 1.44 19300 0.6111 0.6639
0.5961 1.45 19400 0.6003 0.6644
0.6077 1.45 19500 0.6125 0.6566
0.6215 1.46 19600 0.6128 0.6582
0.4005 1.47 19700 0.6348 0.6642
0.5689 1.48 19800 0.6355 0.6647
0.6026 1.48 19900 0.6127 0.6444
0.4982 1.49 20000 0.6034 0.6654
0.6189 1.5 20100 0.6202 0.6609
0.5502 1.51 20200 0.6044 0.6621
0.5924 1.51 20300 0.6107 0.6445
0.744 1.52 20400 0.6164 0.6559
0.5582 1.53 20500 0.6166 0.6559
0.6994 1.54 20600 0.6109 0.6664
0.5396 1.54 20700 0.6189 0.6670
0.7232 1.55 20800 0.6104 0.6610
0.9802 1.56 20900 0.6232 0.6642
0.6487 1.57 21000 0.6056 0.6505
0.5932 1.57 21100 0.5980 0.6702
0.7897 1.58 21200 0.6012 0.6638
0.6006 1.59 21300 0.6232 0.6672
0.4481 1.6 21400 0.6124 0.6676
0.6078 1.6 21500 0.6495 0.6664
0.595 1.61 21600 0.7122 0.6675
0.6388 1.62 21700 0.6227 0.6671
0.5731 1.62 21800 0.6252 0.6682
0.8603 1.63 21900 0.6026 0.6653
0.6316 1.64 22000 0.6494 0.6669
0.6712 1.65 22100 0.6097 0.6676
0.6102 1.65 22200 0.6221 0.6585
0.7099 1.66 22300 0.6006 0.6658
0.621 1.67 22400 0.6026 0.6626
0.478 1.68 22500 0.6062 0.6624
0.6106 1.68 22600 0.5990 0.6669
0.5793 1.69 22700 0.5980 0.6681
0.5804 1.7 22800 0.6014 0.6626
0.6304 1.71 22900 0.6107 0.6380
0.7427 1.71 23000 0.6051 0.6682
0.5794 1.72 23100 0.6105 0.6611
0.5084 1.73 23200 0.6643 0.6673
0.6518 1.74 23300 0.6366 0.6687
0.5129 1.74 23400 0.6053 0.6682
0.7593 1.75 23500 0.5977 0.6662
0.6645 1.76 23600 0.5988 0.6683
0.6144 1.77 23700 0.6130 0.6673
0.6855 1.77 23800 0.6192 0.6596
0.559 1.78 23900 0.6208 0.6574
0.4202 1.79 24000 0.6125 0.6690
0.6604 1.8 24100 0.6052 0.6685
0.5487 1.8 24200 0.6086 0.6685
0.6816 1.81 24300 0.5997 0.6620
0.6057 1.82 24400 0.6128 0.6530
0.4335 1.83 24500 0.6121 0.6676
0.6147 1.83 24600 0.6225 0.6670
0.7414 1.84 24700 0.6248 0.6718
0.622 1.85 24800 0.6084 0.6722
0.5356 1.86 24900 0.6003 0.6611
0.7994 1.86 25000 0.6098 0.6657
0.5389 1.87 25100 0.6052 0.6633
0.6985 1.88 25200 0.6073 0.6694
0.652 1.89 25300 0.6040 0.6709
0.5409 1.89 25400 0.6065 0.6709
0.6356 1.9 25500 0.6062 0.6699
0.7588 1.91 25600 0.6025 0.6711
0.5109 1.92 25700 0.5992 0.6693
0.6766 1.92 25800 0.6004 0.6693
0.6517 1.93 25900 0.6020 0.6701
0.6561 1.94 26000 0.5995 0.6705
0.6224 1.95 26100 0.6008 0.6717
0.6054 1.95 26200 0.6005 0.6714
0.5152 1.96 26300 0.6023 0.6709
0.5503 1.97 26400 0.6032 0.6706
0.5101 1.98 26500 0.6067 0.6709
0.5229 1.98 26600 0.6079 0.6702
0.8387 1.99 26700 0.6079 0.6700
0.608 2.0 26800 0.6069 0.6699

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