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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 [JEdward7777/delivery_truck_classification](https://huggingface.co/JEdward7777/delivery_truck_classification) on the imagefolder dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.0416
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  - Accuracy: 1.0
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  ## Model description
@@ -66,46 +66,46 @@ 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 | 0.73 | 2 | 0.0416 | 1.0 |
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- | No log | 1.73 | 4 | 0.0346 | 1.0 |
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- | No log | 2.73 | 6 | 0.0293 | 1.0 |
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- | No log | 3.73 | 8 | 0.0186 | 1.0 |
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- | No log | 4.73 | 10 | 0.0205 | 1.0 |
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- | No log | 5.73 | 12 | 0.0604 | 0.9730 |
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- | No log | 6.73 | 14 | 0.0332 | 1.0 |
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- | No log | 7.73 | 16 | 0.0250 | 1.0 |
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- | No log | 8.73 | 18 | 0.0386 | 1.0 |
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- | 0.2483 | 9.73 | 20 | 0.0438 | 1.0 |
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- | 0.2483 | 10.73 | 22 | 0.0447 | 1.0 |
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- | 0.2483 | 11.73 | 24 | 0.0676 | 0.9730 |
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- | 0.2483 | 12.73 | 26 | 0.0786 | 0.9730 |
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- | 0.2483 | 13.73 | 28 | 0.0389 | 1.0 |
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- | 0.2483 | 14.73 | 30 | 0.0278 | 1.0 |
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- | 0.2483 | 15.73 | 32 | 0.0250 | 1.0 |
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- | 0.2483 | 16.73 | 34 | 0.0283 | 1.0 |
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- | 0.2483 | 17.73 | 36 | 0.0502 | 0.9730 |
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- | 0.2483 | 18.73 | 38 | 0.0711 | 0.9730 |
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- | 0.1759 | 19.73 | 40 | 0.0637 | 0.9730 |
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- | 0.1759 | 20.73 | 42 | 0.0459 | 1.0 |
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- | 0.1759 | 21.73 | 44 | 0.0394 | 1.0 |
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- | 0.1759 | 22.73 | 46 | 0.0419 | 1.0 |
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- | 0.1759 | 23.73 | 48 | 0.0423 | 1.0 |
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- | 0.1759 | 24.73 | 50 | 0.0463 | 0.9730 |
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- | 0.1759 | 25.73 | 52 | 0.0503 | 0.9730 |
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- | 0.1759 | 26.73 | 54 | 0.0616 | 0.9730 |
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- | 0.1759 | 27.73 | 56 | 0.0641 | 0.9730 |
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- | 0.1759 | 28.73 | 58 | 0.0529 | 0.9730 |
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- | 0.1669 | 29.73 | 60 | 0.0485 | 0.9730 |
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- | 0.1669 | 30.73 | 62 | 0.0465 | 0.9730 |
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- | 0.1669 | 31.73 | 64 | 0.0456 | 0.9730 |
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- | 0.1669 | 32.73 | 66 | 0.0478 | 0.9730 |
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- | 0.1669 | 33.73 | 68 | 0.0467 | 0.9730 |
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- | 0.1669 | 34.73 | 70 | 0.0473 | 0.9730 |
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- | 0.1669 | 35.73 | 72 | 0.0486 | 0.9730 |
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- | 0.1669 | 36.73 | 74 | 0.0500 | 0.9730 |
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- | 0.1669 | 37.73 | 76 | 0.0502 | 0.9730 |
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- | 0.1669 | 38.73 | 78 | 0.0500 | 0.9730 |
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- | 0.1589 | 39.73 | 80 | 0.0493 | 0.9730 |
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  ### Framework versions
 
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  This model is a fine-tuned version of [JEdward7777/delivery_truck_classification](https://huggingface.co/JEdward7777/delivery_truck_classification) on the imagefolder dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.0038
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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 | 1.0 | 3 | 0.1626 | 0.95 |
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+ | No log | 2.0 | 6 | 0.1593 | 0.95 |
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+ | No log | 3.0 | 9 | 0.1342 | 0.95 |
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+ | No log | 4.0 | 12 | 0.0871 | 0.975 |
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+ | No log | 5.0 | 15 | 0.0612 | 0.975 |
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+ | No log | 6.0 | 18 | 0.0431 | 1.0 |
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+ | 0.2745 | 7.0 | 21 | 0.0333 | 1.0 |
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+ | 0.2745 | 8.0 | 24 | 0.0487 | 1.0 |
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+ | 0.2745 | 9.0 | 27 | 0.0456 | 1.0 |
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+ | 0.2745 | 10.0 | 30 | 0.0273 | 1.0 |
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+ | 0.2745 | 11.0 | 33 | 0.0180 | 1.0 |
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+ | 0.2745 | 12.0 | 36 | 0.0168 | 1.0 |
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+ | 0.2745 | 13.0 | 39 | 0.0310 | 1.0 |
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+ | 0.1782 | 14.0 | 42 | 0.0438 | 0.975 |
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+ | 0.1782 | 15.0 | 45 | 0.0750 | 0.975 |
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+ | 0.1782 | 16.0 | 48 | 0.0396 | 0.975 |
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+ | 0.1782 | 17.0 | 51 | 0.0177 | 1.0 |
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+ | 0.1782 | 18.0 | 54 | 0.0217 | 1.0 |
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+ | 0.1782 | 19.0 | 57 | 0.0116 | 1.0 |
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+ | 0.1624 | 20.0 | 60 | 0.0081 | 1.0 |
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+ | 0.1624 | 21.0 | 63 | 0.0066 | 1.0 |
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+ | 0.1624 | 22.0 | 66 | 0.0083 | 1.0 |
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+ | 0.1624 | 23.0 | 69 | 0.0126 | 1.0 |
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+ | 0.1624 | 24.0 | 72 | 0.0158 | 1.0 |
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+ | 0.1624 | 25.0 | 75 | 0.0188 | 1.0 |
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+ | 0.1624 | 26.0 | 78 | 0.0149 | 1.0 |
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+ | 0.1475 | 27.0 | 81 | 0.0101 | 1.0 |
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+ | 0.1475 | 28.0 | 84 | 0.0064 | 1.0 |
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+ | 0.1475 | 29.0 | 87 | 0.0050 | 1.0 |
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+ | 0.1475 | 30.0 | 90 | 0.0052 | 1.0 |
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+ | 0.1475 | 31.0 | 93 | 0.0064 | 1.0 |
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+ | 0.1475 | 32.0 | 96 | 0.0070 | 1.0 |
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+ | 0.1475 | 33.0 | 99 | 0.0069 | 1.0 |
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+ | 0.1345 | 34.0 | 102 | 0.0059 | 1.0 |
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+ | 0.1345 | 35.0 | 105 | 0.0049 | 1.0 |
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+ | 0.1345 | 36.0 | 108 | 0.0043 | 1.0 |
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+ | 0.1345 | 37.0 | 111 | 0.0040 | 1.0 |
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+ | 0.1345 | 38.0 | 114 | 0.0038 | 1.0 |
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+ | 0.1345 | 39.0 | 117 | 0.0038 | 1.0 |
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+ | 0.1232 | 40.0 | 120 | 0.0038 | 1.0 |
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  ### Framework versions