generated_from_trainer

<!-- This model card has been generated automatically according to the information the Trainer had access to. You should probably proofread and complete it, then remove this comment. -->

vit-base-patch16-224-Trial006-YEL_STEM1

This model is a fine-tuned version of google/vit-base-patch16-224 on the imagefolder 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
0.8184 0.89 2 0.6184 0.7143
0.7378 1.78 4 0.5789 0.7143
0.676 2.67 6 0.7147 0.4464
0.6727 4.0 9 0.5448 0.7321
0.5761 4.89 11 0.4879 0.7857
0.6253 5.78 13 0.6192 0.6964
0.5719 6.67 15 0.4303 0.7679
0.4861 8.0 18 0.4442 0.8393
0.4713 8.89 20 0.3913 0.8571
0.4802 9.78 22 0.2951 0.8393
0.4324 10.67 24 0.3657 0.8393
0.3898 12.0 27 0.2257 0.9107
0.3763 12.89 29 0.2231 0.9107
0.3513 13.78 31 0.2590 0.875
0.3358 14.67 33 0.1898 0.9286
0.3302 16.0 36 0.1274 0.9643
0.2961 16.89 38 0.1054 0.9821
0.2989 17.78 40 0.1052 0.9643
0.2177 18.67 42 0.1028 0.9821
0.2436 20.0 45 0.1266 0.9286
0.244 20.89 47 0.0766 0.9821
0.2429 21.78 49 0.0709 0.9821
0.2201 22.67 51 0.0592 0.9821
0.2337 24.0 54 0.0852 0.9643
0.2009 24.89 56 0.0334 1.0
0.1789 25.78 58 0.0295 1.0
0.1945 26.67 60 0.0391 1.0
0.21 28.0 63 0.0459 0.9821
0.1757 28.89 65 0.0214 1.0
0.1959 29.78 67 0.0216 1.0
0.1817 30.67 69 0.0209 1.0
0.1995 32.0 72 0.0209 1.0
0.1581 32.89 74 0.0283 1.0
0.2138 33.78 76 0.0206 1.0
0.2028 34.67 78 0.0142 1.0
0.1365 36.0 81 0.0196 1.0
0.1574 36.89 83 0.0418 0.9821
0.1716 37.78 85 0.0464 0.9821
0.1671 38.67 87 0.0215 1.0
0.1252 40.0 90 0.0105 1.0
0.1912 40.89 92 0.0103 1.0
0.1734 41.78 94 0.0116 1.0
0.1195 42.67 96 0.0138 1.0
0.2142 44.0 99 0.0149 1.0
0.1756 44.44 100 0.0149 1.0

Framework versions