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JEdward7777
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delivery_truck_classification

Image Classification
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swin
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update model card README.md

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@@ -31,7 +31,7 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [microsoft/swin-tiny-patch4-window7-224](https://huggingface.co/microsoft/swin-tiny-patch4-window7-224) on the imagefolder dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.2212
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  - Accuracy: 1.0
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  ## Model description
@@ -66,51 +66,51 @@ The following hyperparameters were used during training:
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|
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- | No log | 0.67 | 1 | 1.7282 | 0.3 |
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- | No log | 1.67 | 2 | 1.6786 | 0.3 |
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- | No log | 2.67 | 3 | 1.5811 | 0.35 |
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- | No log | 3.67 | 4 | 1.4410 | 0.45 |
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- | No log | 4.67 | 5 | 1.2802 | 0.65 |
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- | No log | 5.67 | 6 | 1.1453 | 0.75 |
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- | No log | 6.67 | 7 | 1.0253 | 0.75 |
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- | No log | 7.67 | 8 | 0.9306 | 0.75 |
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- | No log | 8.67 | 9 | 0.8566 | 0.8 |
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- | No log | 9.67 | 10 | 0.8048 | 0.8 |
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- | No log | 10.67 | 11 | 0.7585 | 0.8 |
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- | No log | 11.67 | 12 | 0.7097 | 0.8 |
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- | No log | 12.67 | 13 | 0.6443 | 0.8 |
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- | No log | 13.67 | 14 | 0.5772 | 0.8 |
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- | No log | 14.67 | 15 | 0.5056 | 0.8 |
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- | No log | 15.67 | 16 | 0.4444 | 0.8 |
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- | No log | 16.67 | 17 | 0.3857 | 0.85 |
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- | No log | 17.67 | 18 | 0.3330 | 0.85 |
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- | No log | 18.67 | 19 | 0.2907 | 0.9 |
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- | 1.4985 | 19.67 | 20 | 0.2552 | 0.95 |
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- | 1.4985 | 20.67 | 21 | 0.2212 | 1.0 |
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- | 1.4985 | 21.67 | 22 | 0.1938 | 1.0 |
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- | 1.4985 | 22.67 | 23 | 0.1699 | 1.0 |
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- | 1.4985 | 23.67 | 24 | 0.1490 | 1.0 |
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- | 1.4985 | 24.67 | 25 | 0.1329 | 1.0 |
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- | 1.4985 | 25.67 | 26 | 0.1203 | 1.0 |
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- | 1.4985 | 26.67 | 27 | 0.1141 | 1.0 |
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- | 1.4985 | 27.67 | 28 | 0.1084 | 1.0 |
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- | 1.4985 | 28.67 | 29 | 0.1018 | 1.0 |
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- | 1.4985 | 29.67 | 30 | 0.0953 | 1.0 |
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- | 1.4985 | 30.67 | 31 | 0.0878 | 1.0 |
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- | 1.4985 | 31.67 | 32 | 0.0794 | 1.0 |
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- | 1.4985 | 32.67 | 33 | 0.0730 | 1.0 |
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- | 1.4985 | 33.67 | 34 | 0.0687 | 1.0 |
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- | 1.4985 | 34.67 | 35 | 0.0664 | 1.0 |
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- | 1.4985 | 35.67 | 36 | 0.0649 | 1.0 |
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- | 1.4985 | 36.67 | 37 | 0.0640 | 1.0 |
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- | 1.4985 | 37.67 | 38 | 0.0639 | 1.0 |
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- | 1.4985 | 38.67 | 39 | 0.0638 | 1.0 |
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- | 0.4842 | 39.67 | 40 | 0.0637 | 1.0 |
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  ### Framework versions
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- - Transformers 4.21.2
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  - Pytorch 1.12.1+cu113
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  - Datasets 2.4.0
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  - Tokenizers 0.12.1
 
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  This model is a fine-tuned version of [microsoft/swin-tiny-patch4-window7-224](https://huggingface.co/microsoft/swin-tiny-patch4-window7-224) on the imagefolder dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.0942
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  - Accuracy: 1.0
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  ## Model description
 
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|
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+ | No log | 0.67 | 1 | 1.8688 | 0.1818 |
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+ | No log | 1.67 | 2 | 1.7920 | 0.1818 |
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+ | No log | 2.67 | 3 | 1.6533 | 0.3636 |
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+ | No log | 3.67 | 4 | 1.4775 | 0.4545 |
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+ | No log | 4.67 | 5 | 1.2912 | 0.5909 |
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+ | No log | 5.67 | 6 | 1.1475 | 0.7273 |
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+ | No log | 6.67 | 7 | 1.0266 | 0.7727 |
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+ | No log | 7.67 | 8 | 0.9196 | 0.7727 |
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+ | No log | 8.67 | 9 | 0.8273 | 0.8182 |
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+ | No log | 9.67 | 10 | 0.7492 | 0.8182 |
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+ | No log | 10.67 | 11 | 0.6857 | 0.9091 |
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+ | No log | 11.67 | 12 | 0.6369 | 0.9091 |
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+ | No log | 12.67 | 13 | 0.5916 | 1.0 |
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+ | No log | 13.67 | 14 | 0.5462 | 1.0 |
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+ | No log | 14.67 | 15 | 0.4927 | 1.0 |
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+ | No log | 15.67 | 16 | 0.4390 | 1.0 |
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+ | No log | 16.67 | 17 | 0.3914 | 1.0 |
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+ | No log | 17.67 | 18 | 0.3446 | 1.0 |
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+ | No log | 18.67 | 19 | 0.3019 | 1.0 |
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+ | 1.7058 | 19.67 | 20 | 0.2611 | 1.0 |
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+ | 1.7058 | 20.67 | 21 | 0.2289 | 1.0 |
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+ | 1.7058 | 21.67 | 22 | 0.1960 | 1.0 |
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+ | 1.7058 | 22.67 | 23 | 0.1711 | 1.0 |
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+ | 1.7058 | 23.67 | 24 | 0.1568 | 1.0 |
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+ | 1.7058 | 24.67 | 25 | 0.1463 | 1.0 |
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+ | 1.7058 | 25.67 | 26 | 0.1383 | 1.0 |
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+ | 1.7058 | 26.67 | 27 | 0.1323 | 1.0 |
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+ | 1.7058 | 27.67 | 28 | 0.1268 | 1.0 |
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+ | 1.7058 | 28.67 | 29 | 0.1199 | 1.0 |
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+ | 1.7058 | 29.67 | 30 | 0.1145 | 1.0 |
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+ | 1.7058 | 30.67 | 31 | 0.1129 | 1.0 |
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+ | 1.7058 | 31.67 | 32 | 0.1095 | 1.0 |
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+ | 1.7058 | 32.67 | 33 | 0.1079 | 1.0 |
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+ | 1.7058 | 33.67 | 34 | 0.1053 | 1.0 |
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+ | 1.7058 | 34.67 | 35 | 0.1034 | 1.0 |
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+ | 1.7058 | 35.67 | 36 | 0.0990 | 1.0 |
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+ | 1.7058 | 36.67 | 37 | 0.0963 | 1.0 |
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+ | 1.7058 | 37.67 | 38 | 0.0952 | 1.0 |
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+ | 1.7058 | 38.67 | 39 | 0.0944 | 1.0 |
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+ | 0.6083 | 39.67 | 40 | 0.0942 | 1.0 |
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  ### Framework versions
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+ - Transformers 4.21.3
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  - Pytorch 1.12.1+cu113
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  - Datasets 2.4.0
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  - Tokenizers 0.12.1