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Boya1_SGD_1e3_20Epoch_Swin-large-224_fold1

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swin
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  1. README.md +25 -25
  2. pytorch_model.bin +1 -1
README.md CHANGED
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  ---
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  license: apache-2.0
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- base_model: microsoft/swin-large-patch4-window7-224-in22k
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  tags:
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  - generated_from_trainer
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  datasets:
@@ -22,7 +22,7 @@ model-index:
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  metrics:
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  - name: Accuracy
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  type: accuracy
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- value: 0.379853380396416
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  ---
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  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -30,10 +30,10 @@ should probably proofread and complete it, then remove this comment. -->
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  # Boya1_SGD_1e3_20Epoch_Swin-large-224_fold1
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- This model is a fine-tuned version of [microsoft/swin-large-patch4-window7-224-in22k](https://huggingface.co/microsoft/swin-large-patch4-window7-224-in22k) on the imagefolder dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 1.9584
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- - Accuracy: 0.3799
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  ## Model description
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@@ -65,26 +65,26 @@ 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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- | 2.5719 | 1.0 | 924 | 2.5257 | 0.1922 |
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- | 2.4233 | 2.0 | 1848 | 2.4287 | 0.1971 |
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- | 2.4427 | 3.0 | 2772 | 2.3607 | 0.2172 |
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- | 2.2481 | 4.0 | 3696 | 2.3050 | 0.2349 |
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- | 2.3046 | 5.0 | 4620 | 2.2565 | 0.2672 |
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- | 2.1552 | 6.0 | 5544 | 2.2110 | 0.2791 |
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- | 2.1559 | 7.0 | 6468 | 2.1736 | 0.3022 |
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- | 2.1519 | 8.0 | 7392 | 2.1375 | 0.3147 |
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- | 2.0414 | 9.0 | 8316 | 2.1059 | 0.3370 |
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- | 2.1013 | 10.0 | 9240 | 2.0772 | 0.3432 |
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- | 1.9768 | 11.0 | 10164 | 2.0520 | 0.3557 |
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- | 2.0205 | 12.0 | 11088 | 2.0337 | 0.3611 |
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- | 1.9466 | 13.0 | 12012 | 2.0142 | 0.3676 |
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- | 1.9335 | 14.0 | 12936 | 1.9979 | 0.3706 |
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- | 1.9829 | 15.0 | 13860 | 1.9866 | 0.3731 |
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- | 1.8972 | 16.0 | 14784 | 1.9757 | 0.3742 |
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- | 1.9173 | 17.0 | 15708 | 1.9671 | 0.3769 |
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- | 1.9088 | 18.0 | 16632 | 1.9629 | 0.3774 |
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- | 1.8466 | 19.0 | 17556 | 1.9595 | 0.3788 |
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- | 1.8832 | 20.0 | 18480 | 1.9584 | 0.3799 |
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  ### Framework versions
 
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  ---
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  license: apache-2.0
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+ base_model: microsoft/swin-large-patch4-window7-224
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  tags:
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  - generated_from_trainer
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  datasets:
 
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  metrics:
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  - name: Accuracy
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  type: accuracy
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+ value: 0.3288080369264187
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  ---
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  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
 
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  # Boya1_SGD_1e3_20Epoch_Swin-large-224_fold1
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+ This model is a fine-tuned version of [microsoft/swin-large-patch4-window7-224](https://huggingface.co/microsoft/swin-large-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: 2.1316
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+ - Accuracy: 0.3288
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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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+ | 2.6134 | 1.0 | 924 | 2.5724 | 0.1941 |
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+ | 2.5066 | 2.0 | 1848 | 2.4917 | 0.1947 |
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+ | 2.5572 | 3.0 | 2772 | 2.4417 | 0.1971 |
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+ | 2.3516 | 4.0 | 3696 | 2.4048 | 0.2080 |
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+ | 2.4257 | 5.0 | 4620 | 2.3743 | 0.2332 |
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+ | 2.3129 | 6.0 | 5544 | 2.3404 | 0.2411 |
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+ | 2.2992 | 7.0 | 6468 | 2.3155 | 0.2636 |
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+ | 2.266 | 8.0 | 7392 | 2.2914 | 0.2683 |
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+ | 2.2389 | 9.0 | 8316 | 2.2655 | 0.2778 |
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+ | 2.2861 | 10.0 | 9240 | 2.2421 | 0.2873 |
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+ | 2.2192 | 11.0 | 10164 | 2.2250 | 0.2905 |
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+ | 2.2057 | 12.0 | 11088 | 2.2046 | 0.2984 |
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+ | 2.0519 | 13.0 | 12012 | 2.1880 | 0.3046 |
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+ | 2.1151 | 14.0 | 12936 | 2.1736 | 0.3144 |
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+ | 2.1116 | 15.0 | 13860 | 2.1599 | 0.3204 |
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+ | 2.0726 | 16.0 | 14784 | 2.1517 | 0.3234 |
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+ | 2.1017 | 17.0 | 15708 | 2.1408 | 0.3272 |
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+ | 2.051 | 18.0 | 16632 | 2.1358 | 0.3285 |
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+ | 2.0423 | 19.0 | 17556 | 2.1327 | 0.3296 |
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+ | 2.0517 | 20.0 | 18480 | 2.1316 | 0.3288 |
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  ### Framework versions
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