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Browse files- README.md +361 -0
- all_results.json +17 -0
- config.json +78 -0
- dr_results.json +8 -0
- model.safetensors +3 -0
- preprocessor_config.json +36 -0
- test_results.json +8 -0
- train_results.json +7 -0
- trainer_state.json +0 -0
- training_args.bin +3 -0
README.md
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| 1 |
+
---
|
| 2 |
+
license: apache-2.0
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| 3 |
+
base_model: microsoft/swin-tiny-patch4-window7-224
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| 4 |
+
tags:
|
| 5 |
+
- image-classification
|
| 6 |
+
- vision
|
| 7 |
+
- generated_from_trainer
|
| 8 |
+
metrics:
|
| 9 |
+
- accuracy
|
| 10 |
+
model-index:
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| 11 |
+
- name: swin-tiny
|
| 12 |
+
results: []
|
| 13 |
+
---
|
| 14 |
+
|
| 15 |
+
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
|
| 16 |
+
should probably proofread and complete it, then remove this comment. -->
|
| 17 |
+
|
| 18 |
+
# swin-tiny
|
| 19 |
+
|
| 20 |
+
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 cifar10 dataset.
|
| 21 |
+
It achieves the following results on the evaluation set:
|
| 22 |
+
- Loss: 0.0807
|
| 23 |
+
- Accuracy: 0.981
|
| 24 |
+
|
| 25 |
+
## Model description
|
| 26 |
+
|
| 27 |
+
More information needed
|
| 28 |
+
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| 29 |
+
## Intended uses & limitations
|
| 30 |
+
|
| 31 |
+
More information needed
|
| 32 |
+
|
| 33 |
+
## Training and evaluation data
|
| 34 |
+
|
| 35 |
+
More information needed
|
| 36 |
+
|
| 37 |
+
## Training procedure
|
| 38 |
+
|
| 39 |
+
### Training hyperparameters
|
| 40 |
+
|
| 41 |
+
The following hyperparameters were used during training:
|
| 42 |
+
- learning_rate: 1e-05
|
| 43 |
+
- train_batch_size: 128
|
| 44 |
+
- eval_batch_size: 256
|
| 45 |
+
- seed: 42
|
| 46 |
+
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
|
| 47 |
+
- lr_scheduler_type: linear
|
| 48 |
+
- num_epochs: 300
|
| 49 |
+
|
| 50 |
+
### Training results
|
| 51 |
+
|
| 52 |
+
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|
| 53 |
+
|:-------------:|:-----:|:-----:|:---------------:|:--------:|
|
| 54 |
+
| No log | 1.0 | 333 | 0.2584 | 0.9223 |
|
| 55 |
+
| 0.9076 | 2.0 | 666 | 0.1637 | 0.945 |
|
| 56 |
+
| 0.9076 | 3.0 | 999 | 0.1344 | 0.9553 |
|
| 57 |
+
| 0.4797 | 4.0 | 1332 | 0.1206 | 0.9604 |
|
| 58 |
+
| 0.4193 | 5.0 | 1665 | 0.1109 | 0.9635 |
|
| 59 |
+
| 0.4193 | 6.0 | 1998 | 0.1056 | 0.9661 |
|
| 60 |
+
| 0.3846 | 7.0 | 2331 | 0.0951 | 0.9688 |
|
| 61 |
+
| 0.3572 | 8.0 | 2664 | 0.0957 | 0.9689 |
|
| 62 |
+
| 0.3572 | 9.0 | 2997 | 0.0909 | 0.9693 |
|
| 63 |
+
| 0.3409 | 10.0 | 3330 | 0.0862 | 0.971 |
|
| 64 |
+
| 0.3319 | 11.0 | 3663 | 0.0856 | 0.9721 |
|
| 65 |
+
| 0.3319 | 12.0 | 3996 | 0.0872 | 0.972 |
|
| 66 |
+
| 0.3253 | 13.0 | 4329 | 0.0806 | 0.973 |
|
| 67 |
+
| 0.3084 | 14.0 | 4662 | 0.0816 | 0.9738 |
|
| 68 |
+
| 0.3084 | 15.0 | 4995 | 0.0789 | 0.9742 |
|
| 69 |
+
| 0.3022 | 16.0 | 5328 | 0.0767 | 0.9746 |
|
| 70 |
+
| 0.2894 | 17.0 | 5661 | 0.0805 | 0.9725 |
|
| 71 |
+
| 0.2894 | 18.0 | 5994 | 0.0760 | 0.9759 |
|
| 72 |
+
| 0.2842 | 19.0 | 6327 | 0.0742 | 0.9744 |
|
| 73 |
+
| 0.2712 | 20.0 | 6660 | 0.0785 | 0.9738 |
|
| 74 |
+
| 0.2712 | 21.0 | 6993 | 0.0790 | 0.9735 |
|
| 75 |
+
| 0.2729 | 22.0 | 7326 | 0.0751 | 0.9759 |
|
| 76 |
+
| 0.2634 | 23.0 | 7659 | 0.0796 | 0.9737 |
|
| 77 |
+
| 0.2634 | 24.0 | 7992 | 0.0756 | 0.9752 |
|
| 78 |
+
| 0.2591 | 25.0 | 8325 | 0.0755 | 0.9759 |
|
| 79 |
+
| 0.253 | 26.0 | 8658 | 0.0793 | 0.9746 |
|
| 80 |
+
| 0.253 | 27.0 | 8991 | 0.0728 | 0.9765 |
|
| 81 |
+
| 0.2518 | 28.0 | 9324 | 0.0791 | 0.9748 |
|
| 82 |
+
| 0.2482 | 29.0 | 9657 | 0.0792 | 0.9756 |
|
| 83 |
+
| 0.2482 | 30.0 | 9990 | 0.0742 | 0.9764 |
|
| 84 |
+
| 0.2429 | 31.0 | 10323 | 0.0740 | 0.9757 |
|
| 85 |
+
| 0.2405 | 32.0 | 10656 | 0.0743 | 0.9757 |
|
| 86 |
+
| 0.2405 | 33.0 | 10989 | 0.0743 | 0.9757 |
|
| 87 |
+
| 0.234 | 34.0 | 11322 | 0.0749 | 0.9769 |
|
| 88 |
+
| 0.2353 | 35.0 | 11655 | 0.0768 | 0.975 |
|
| 89 |
+
| 0.2353 | 36.0 | 11988 | 0.0734 | 0.9771 |
|
| 90 |
+
| 0.2329 | 37.0 | 12321 | 0.0778 | 0.9755 |
|
| 91 |
+
| 0.2289 | 38.0 | 12654 | 0.0762 | 0.9771 |
|
| 92 |
+
| 0.2289 | 39.0 | 12987 | 0.0765 | 0.9761 |
|
| 93 |
+
| 0.227 | 40.0 | 13320 | 0.0739 | 0.9768 |
|
| 94 |
+
| 0.2213 | 41.0 | 13653 | 0.0747 | 0.9773 |
|
| 95 |
+
| 0.2213 | 42.0 | 13986 | 0.0720 | 0.9786 |
|
| 96 |
+
| 0.217 | 43.0 | 14319 | 0.0766 | 0.9771 |
|
| 97 |
+
| 0.22 | 44.0 | 14652 | 0.0764 | 0.9767 |
|
| 98 |
+
| 0.22 | 45.0 | 14985 | 0.0728 | 0.9779 |
|
| 99 |
+
| 0.2179 | 46.0 | 15318 | 0.0740 | 0.9785 |
|
| 100 |
+
| 0.2074 | 47.0 | 15651 | 0.0712 | 0.9793 |
|
| 101 |
+
| 0.2074 | 48.0 | 15984 | 0.0759 | 0.9783 |
|
| 102 |
+
| 0.2096 | 49.0 | 16317 | 0.0727 | 0.9791 |
|
| 103 |
+
| 0.2097 | 50.0 | 16650 | 0.0747 | 0.9792 |
|
| 104 |
+
| 0.2097 | 51.0 | 16983 | 0.0755 | 0.9795 |
|
| 105 |
+
| 0.2063 | 52.0 | 17316 | 0.0741 | 0.9788 |
|
| 106 |
+
| 0.2054 | 53.0 | 17649 | 0.0739 | 0.9784 |
|
| 107 |
+
| 0.2054 | 54.0 | 17982 | 0.0755 | 0.9779 |
|
| 108 |
+
| 0.2003 | 55.0 | 18315 | 0.0776 | 0.9784 |
|
| 109 |
+
| 0.2009 | 56.0 | 18648 | 0.0735 | 0.9786 |
|
| 110 |
+
| 0.2009 | 57.0 | 18981 | 0.0772 | 0.9769 |
|
| 111 |
+
| 0.1999 | 58.0 | 19314 | 0.0769 | 0.9789 |
|
| 112 |
+
| 0.1973 | 59.0 | 19647 | 0.0734 | 0.9793 |
|
| 113 |
+
| 0.1973 | 60.0 | 19980 | 0.0741 | 0.9787 |
|
| 114 |
+
| 0.1953 | 61.0 | 20313 | 0.0751 | 0.978 |
|
| 115 |
+
| 0.1937 | 62.0 | 20646 | 0.0737 | 0.9786 |
|
| 116 |
+
| 0.1937 | 63.0 | 20979 | 0.0732 | 0.9786 |
|
| 117 |
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| 0.1946 | 64.0 | 21312 | 0.0759 | 0.9789 |
|
| 118 |
+
| 0.1909 | 65.0 | 21645 | 0.0735 | 0.9798 |
|
| 119 |
+
| 0.1909 | 66.0 | 21978 | 0.0734 | 0.9788 |
|
| 120 |
+
| 0.1935 | 67.0 | 22311 | 0.0734 | 0.9793 |
|
| 121 |
+
| 0.1936 | 68.0 | 22644 | 0.0724 | 0.9795 |
|
| 122 |
+
| 0.1936 | 69.0 | 22977 | 0.0757 | 0.9785 |
|
| 123 |
+
| 0.1858 | 70.0 | 23310 | 0.0710 | 0.9801 |
|
| 124 |
+
| 0.1871 | 71.0 | 23643 | 0.0760 | 0.9799 |
|
| 125 |
+
| 0.1871 | 72.0 | 23976 | 0.0765 | 0.9801 |
|
| 126 |
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| 0.1836 | 73.0 | 24309 | 0.0771 | 0.9787 |
|
| 127 |
+
| 0.1827 | 74.0 | 24642 | 0.0762 | 0.9782 |
|
| 128 |
+
| 0.1827 | 75.0 | 24975 | 0.0778 | 0.9781 |
|
| 129 |
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| 0.1847 | 76.0 | 25308 | 0.0814 | 0.9781 |
|
| 130 |
+
| 0.1815 | 77.0 | 25641 | 0.0769 | 0.9788 |
|
| 131 |
+
| 0.1815 | 78.0 | 25974 | 0.0737 | 0.9801 |
|
| 132 |
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| 0.1786 | 79.0 | 26307 | 0.0740 | 0.9795 |
|
| 133 |
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| 0.1819 | 80.0 | 26640 | 0.0710 | 0.9807 |
|
| 134 |
+
| 0.1819 | 81.0 | 26973 | 0.0754 | 0.9799 |
|
| 135 |
+
| 0.1767 | 82.0 | 27306 | 0.0772 | 0.9789 |
|
| 136 |
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| 0.1792 | 83.0 | 27639 | 0.0765 | 0.9799 |
|
| 137 |
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| 0.1792 | 84.0 | 27972 | 0.0741 | 0.9799 |
|
| 138 |
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| 0.1752 | 85.0 | 28305 | 0.0741 | 0.9795 |
|
| 139 |
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| 0.1789 | 86.0 | 28638 | 0.0775 | 0.9802 |
|
| 140 |
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| 0.1789 | 87.0 | 28971 | 0.0731 | 0.9803 |
|
| 141 |
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| 0.1755 | 88.0 | 29304 | 0.0725 | 0.9806 |
|
| 142 |
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| 0.1694 | 89.0 | 29637 | 0.0750 | 0.9795 |
|
| 143 |
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| 0.1694 | 90.0 | 29970 | 0.0711 | 0.9815 |
|
| 144 |
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| 0.1739 | 91.0 | 30303 | 0.0767 | 0.98 |
|
| 145 |
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| 0.1726 | 92.0 | 30636 | 0.0771 | 0.9801 |
|
| 146 |
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| 0.1726 | 93.0 | 30969 | 0.0785 | 0.9786 |
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| 147 |
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| 0.1696 | 94.0 | 31302 | 0.0799 | 0.9787 |
|
| 148 |
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| 0.1723 | 95.0 | 31635 | 0.0776 | 0.979 |
|
| 149 |
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| 0.1723 | 96.0 | 31968 | 0.0774 | 0.9796 |
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| 150 |
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| 0.1692 | 97.0 | 32301 | 0.0807 | 0.9797 |
|
| 151 |
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| 0.17 | 98.0 | 32634 | 0.0750 | 0.9798 |
|
| 152 |
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| 0.17 | 99.0 | 32967 | 0.0765 | 0.9805 |
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| 153 |
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| 0.1691 | 100.0 | 33300 | 0.0763 | 0.9798 |
|
| 154 |
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| 0.165 | 101.0 | 33633 | 0.0765 | 0.9794 |
|
| 155 |
+
| 0.165 | 102.0 | 33966 | 0.0741 | 0.9806 |
|
| 156 |
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| 0.1678 | 103.0 | 34299 | 0.0728 | 0.9805 |
|
| 157 |
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| 0.1663 | 104.0 | 34632 | 0.0746 | 0.9803 |
|
| 158 |
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| 0.1663 | 105.0 | 34965 | 0.0747 | 0.9796 |
|
| 159 |
+
| 0.1697 | 106.0 | 35298 | 0.0743 | 0.98 |
|
| 160 |
+
| 0.1637 | 107.0 | 35631 | 0.0769 | 0.9796 |
|
| 161 |
+
| 0.1637 | 108.0 | 35964 | 0.0751 | 0.9802 |
|
| 162 |
+
| 0.1678 | 109.0 | 36297 | 0.0769 | 0.9807 |
|
| 163 |
+
| 0.1674 | 110.0 | 36630 | 0.0739 | 0.9808 |
|
| 164 |
+
| 0.1674 | 111.0 | 36963 | 0.0810 | 0.9795 |
|
| 165 |
+
| 0.1604 | 112.0 | 37296 | 0.0744 | 0.9806 |
|
| 166 |
+
| 0.1583 | 113.0 | 37629 | 0.0741 | 0.9816 |
|
| 167 |
+
| 0.1583 | 114.0 | 37962 | 0.0784 | 0.98 |
|
| 168 |
+
| 0.1592 | 115.0 | 38295 | 0.0729 | 0.9818 |
|
| 169 |
+
| 0.1607 | 116.0 | 38628 | 0.0744 | 0.9818 |
|
| 170 |
+
| 0.1607 | 117.0 | 38961 | 0.0736 | 0.9817 |
|
| 171 |
+
| 0.1657 | 118.0 | 39294 | 0.0769 | 0.9805 |
|
| 172 |
+
| 0.1605 | 119.0 | 39627 | 0.0769 | 0.9812 |
|
| 173 |
+
| 0.1605 | 120.0 | 39960 | 0.0787 | 0.9808 |
|
| 174 |
+
| 0.1554 | 121.0 | 40293 | 0.0785 | 0.9801 |
|
| 175 |
+
| 0.157 | 122.0 | 40626 | 0.0760 | 0.9796 |
|
| 176 |
+
| 0.157 | 123.0 | 40959 | 0.0754 | 0.9805 |
|
| 177 |
+
| 0.1549 | 124.0 | 41292 | 0.0755 | 0.9802 |
|
| 178 |
+
| 0.1578 | 125.0 | 41625 | 0.0765 | 0.9792 |
|
| 179 |
+
| 0.1578 | 126.0 | 41958 | 0.0753 | 0.98 |
|
| 180 |
+
| 0.1531 | 127.0 | 42291 | 0.0779 | 0.98 |
|
| 181 |
+
| 0.1572 | 128.0 | 42624 | 0.0783 | 0.98 |
|
| 182 |
+
| 0.1572 | 129.0 | 42957 | 0.0786 | 0.9796 |
|
| 183 |
+
| 0.1558 | 130.0 | 43290 | 0.0742 | 0.9814 |
|
| 184 |
+
| 0.1515 | 131.0 | 43623 | 0.0776 | 0.9798 |
|
| 185 |
+
| 0.1515 | 132.0 | 43956 | 0.0800 | 0.9793 |
|
| 186 |
+
| 0.1526 | 133.0 | 44289 | 0.0756 | 0.9806 |
|
| 187 |
+
| 0.1523 | 134.0 | 44622 | 0.0789 | 0.9797 |
|
| 188 |
+
| 0.1523 | 135.0 | 44955 | 0.0765 | 0.9801 |
|
| 189 |
+
| 0.1519 | 136.0 | 45288 | 0.0770 | 0.9798 |
|
| 190 |
+
| 0.1491 | 137.0 | 45621 | 0.0794 | 0.98 |
|
| 191 |
+
| 0.1491 | 138.0 | 45954 | 0.0790 | 0.9796 |
|
| 192 |
+
| 0.1488 | 139.0 | 46287 | 0.0783 | 0.9796 |
|
| 193 |
+
| 0.1511 | 140.0 | 46620 | 0.0769 | 0.98 |
|
| 194 |
+
| 0.1511 | 141.0 | 46953 | 0.0827 | 0.9797 |
|
| 195 |
+
| 0.1475 | 142.0 | 47286 | 0.0770 | 0.98 |
|
| 196 |
+
| 0.1449 | 143.0 | 47619 | 0.0780 | 0.98 |
|
| 197 |
+
| 0.1449 | 144.0 | 47952 | 0.0771 | 0.9795 |
|
| 198 |
+
| 0.146 | 145.0 | 48285 | 0.0751 | 0.9809 |
|
| 199 |
+
| 0.1473 | 146.0 | 48618 | 0.0793 | 0.9797 |
|
| 200 |
+
| 0.1473 | 147.0 | 48951 | 0.0759 | 0.9812 |
|
| 201 |
+
| 0.1466 | 148.0 | 49284 | 0.0821 | 0.9787 |
|
| 202 |
+
| 0.1472 | 149.0 | 49617 | 0.0757 | 0.9813 |
|
| 203 |
+
| 0.1472 | 150.0 | 49950 | 0.0764 | 0.9804 |
|
| 204 |
+
| 0.1437 | 151.0 | 50283 | 0.0816 | 0.9799 |
|
| 205 |
+
| 0.1487 | 152.0 | 50616 | 0.0777 | 0.9818 |
|
| 206 |
+
| 0.1487 | 153.0 | 50949 | 0.0795 | 0.9811 |
|
| 207 |
+
| 0.1455 | 154.0 | 51282 | 0.0784 | 0.9811 |
|
| 208 |
+
| 0.1463 | 155.0 | 51615 | 0.0800 | 0.9801 |
|
| 209 |
+
| 0.1463 | 156.0 | 51948 | 0.0791 | 0.9809 |
|
| 210 |
+
| 0.1449 | 157.0 | 52281 | 0.0777 | 0.9815 |
|
| 211 |
+
| 0.1413 | 158.0 | 52614 | 0.0798 | 0.9802 |
|
| 212 |
+
| 0.1413 | 159.0 | 52947 | 0.0801 | 0.9798 |
|
| 213 |
+
| 0.143 | 160.0 | 53280 | 0.0790 | 0.9803 |
|
| 214 |
+
| 0.1462 | 161.0 | 53613 | 0.0785 | 0.9794 |
|
| 215 |
+
| 0.1462 | 162.0 | 53946 | 0.0784 | 0.9799 |
|
| 216 |
+
| 0.1454 | 163.0 | 54279 | 0.0777 | 0.9814 |
|
| 217 |
+
| 0.1404 | 164.0 | 54612 | 0.0768 | 0.9817 |
|
| 218 |
+
| 0.1404 | 165.0 | 54945 | 0.0787 | 0.9795 |
|
| 219 |
+
| 0.1404 | 166.0 | 55278 | 0.0814 | 0.9806 |
|
| 220 |
+
| 0.1438 | 167.0 | 55611 | 0.0802 | 0.9802 |
|
| 221 |
+
| 0.1438 | 168.0 | 55944 | 0.0774 | 0.9807 |
|
| 222 |
+
| 0.1405 | 169.0 | 56277 | 0.0777 | 0.9793 |
|
| 223 |
+
| 0.1465 | 170.0 | 56610 | 0.0783 | 0.9804 |
|
| 224 |
+
| 0.1465 | 171.0 | 56943 | 0.0817 | 0.9799 |
|
| 225 |
+
| 0.1404 | 172.0 | 57276 | 0.0780 | 0.9806 |
|
| 226 |
+
| 0.1367 | 173.0 | 57609 | 0.0790 | 0.9806 |
|
| 227 |
+
| 0.1367 | 174.0 | 57942 | 0.0787 | 0.9816 |
|
| 228 |
+
| 0.1399 | 175.0 | 58275 | 0.0811 | 0.9801 |
|
| 229 |
+
| 0.1418 | 176.0 | 58608 | 0.0804 | 0.9809 |
|
| 230 |
+
| 0.1418 | 177.0 | 58941 | 0.0800 | 0.9806 |
|
| 231 |
+
| 0.1381 | 178.0 | 59274 | 0.0786 | 0.9814 |
|
| 232 |
+
| 0.1357 | 179.0 | 59607 | 0.0798 | 0.9805 |
|
| 233 |
+
| 0.1357 | 180.0 | 59940 | 0.0792 | 0.9813 |
|
| 234 |
+
| 0.1465 | 181.0 | 60273 | 0.0802 | 0.9809 |
|
| 235 |
+
| 0.1366 | 182.0 | 60606 | 0.0788 | 0.9804 |
|
| 236 |
+
| 0.1366 | 183.0 | 60939 | 0.0805 | 0.979 |
|
| 237 |
+
| 0.139 | 184.0 | 61272 | 0.0822 | 0.9794 |
|
| 238 |
+
| 0.1381 | 185.0 | 61605 | 0.0808 | 0.9807 |
|
| 239 |
+
| 0.1381 | 186.0 | 61938 | 0.0806 | 0.9802 |
|
| 240 |
+
| 0.1367 | 187.0 | 62271 | 0.0785 | 0.9803 |
|
| 241 |
+
| 0.1354 | 188.0 | 62604 | 0.0804 | 0.9803 |
|
| 242 |
+
| 0.1354 | 189.0 | 62937 | 0.0795 | 0.98 |
|
| 243 |
+
| 0.137 | 190.0 | 63270 | 0.0797 | 0.9805 |
|
| 244 |
+
| 0.1351 | 191.0 | 63603 | 0.0786 | 0.9803 |
|
| 245 |
+
| 0.1351 | 192.0 | 63936 | 0.0778 | 0.9807 |
|
| 246 |
+
| 0.1345 | 193.0 | 64269 | 0.0800 | 0.9812 |
|
| 247 |
+
| 0.1377 | 194.0 | 64602 | 0.0790 | 0.9799 |
|
| 248 |
+
| 0.1377 | 195.0 | 64935 | 0.0816 | 0.98 |
|
| 249 |
+
| 0.1339 | 196.0 | 65268 | 0.0813 | 0.9811 |
|
| 250 |
+
| 0.1338 | 197.0 | 65601 | 0.0786 | 0.981 |
|
| 251 |
+
| 0.1338 | 198.0 | 65934 | 0.0813 | 0.9805 |
|
| 252 |
+
| 0.1371 | 199.0 | 66267 | 0.0809 | 0.9808 |
|
| 253 |
+
| 0.1339 | 200.0 | 66600 | 0.0797 | 0.9807 |
|
| 254 |
+
| 0.1339 | 201.0 | 66933 | 0.0806 | 0.9808 |
|
| 255 |
+
| 0.131 | 202.0 | 67266 | 0.0817 | 0.98 |
|
| 256 |
+
| 0.1365 | 203.0 | 67599 | 0.0823 | 0.9801 |
|
| 257 |
+
| 0.1365 | 204.0 | 67932 | 0.0827 | 0.9798 |
|
| 258 |
+
| 0.1358 | 205.0 | 68265 | 0.0804 | 0.9816 |
|
| 259 |
+
| 0.132 | 206.0 | 68598 | 0.0825 | 0.9802 |
|
| 260 |
+
| 0.132 | 207.0 | 68931 | 0.0798 | 0.981 |
|
| 261 |
+
| 0.1396 | 208.0 | 69264 | 0.0809 | 0.9813 |
|
| 262 |
+
| 0.1324 | 209.0 | 69597 | 0.0796 | 0.9815 |
|
| 263 |
+
| 0.1324 | 210.0 | 69930 | 0.0800 | 0.9807 |
|
| 264 |
+
| 0.1324 | 211.0 | 70263 | 0.0812 | 0.9809 |
|
| 265 |
+
| 0.1343 | 212.0 | 70596 | 0.0825 | 0.9811 |
|
| 266 |
+
| 0.1343 | 213.0 | 70929 | 0.0817 | 0.9811 |
|
| 267 |
+
| 0.1322 | 214.0 | 71262 | 0.0813 | 0.9811 |
|
| 268 |
+
| 0.133 | 215.0 | 71595 | 0.0825 | 0.9807 |
|
| 269 |
+
| 0.133 | 216.0 | 71928 | 0.0829 | 0.9809 |
|
| 270 |
+
| 0.1336 | 217.0 | 72261 | 0.0819 | 0.9802 |
|
| 271 |
+
| 0.1287 | 218.0 | 72594 | 0.0817 | 0.9803 |
|
| 272 |
+
| 0.1287 | 219.0 | 72927 | 0.0810 | 0.9804 |
|
| 273 |
+
| 0.1322 | 220.0 | 73260 | 0.0835 | 0.98 |
|
| 274 |
+
| 0.1287 | 221.0 | 73593 | 0.0848 | 0.9798 |
|
| 275 |
+
| 0.1287 | 222.0 | 73926 | 0.0816 | 0.9803 |
|
| 276 |
+
| 0.1317 | 223.0 | 74259 | 0.0824 | 0.9803 |
|
| 277 |
+
| 0.1308 | 224.0 | 74592 | 0.0822 | 0.9811 |
|
| 278 |
+
| 0.1308 | 225.0 | 74925 | 0.0822 | 0.9807 |
|
| 279 |
+
| 0.1247 | 226.0 | 75258 | 0.0812 | 0.9806 |
|
| 280 |
+
| 0.129 | 227.0 | 75591 | 0.0819 | 0.9805 |
|
| 281 |
+
| 0.129 | 228.0 | 75924 | 0.0824 | 0.981 |
|
| 282 |
+
| 0.1315 | 229.0 | 76257 | 0.0829 | 0.9803 |
|
| 283 |
+
| 0.1243 | 230.0 | 76590 | 0.0813 | 0.9808 |
|
| 284 |
+
| 0.1243 | 231.0 | 76923 | 0.0813 | 0.9808 |
|
| 285 |
+
| 0.1244 | 232.0 | 77256 | 0.0829 | 0.981 |
|
| 286 |
+
| 0.1286 | 233.0 | 77589 | 0.0840 | 0.9801 |
|
| 287 |
+
| 0.1286 | 234.0 | 77922 | 0.0823 | 0.9805 |
|
| 288 |
+
| 0.1261 | 235.0 | 78255 | 0.0830 | 0.9811 |
|
| 289 |
+
| 0.1238 | 236.0 | 78588 | 0.0820 | 0.9812 |
|
| 290 |
+
| 0.1238 | 237.0 | 78921 | 0.0832 | 0.9807 |
|
| 291 |
+
| 0.1296 | 238.0 | 79254 | 0.0817 | 0.9809 |
|
| 292 |
+
| 0.1278 | 239.0 | 79587 | 0.0815 | 0.981 |
|
| 293 |
+
| 0.1278 | 240.0 | 79920 | 0.0827 | 0.9802 |
|
| 294 |
+
| 0.1246 | 241.0 | 80253 | 0.0826 | 0.9805 |
|
| 295 |
+
| 0.128 | 242.0 | 80586 | 0.0821 | 0.9797 |
|
| 296 |
+
| 0.128 | 243.0 | 80919 | 0.0808 | 0.981 |
|
| 297 |
+
| 0.1274 | 244.0 | 81252 | 0.0817 | 0.9806 |
|
| 298 |
+
| 0.1232 | 245.0 | 81585 | 0.0812 | 0.9805 |
|
| 299 |
+
| 0.1232 | 246.0 | 81918 | 0.0813 | 0.9809 |
|
| 300 |
+
| 0.1281 | 247.0 | 82251 | 0.0804 | 0.9801 |
|
| 301 |
+
| 0.1236 | 248.0 | 82584 | 0.0805 | 0.9807 |
|
| 302 |
+
| 0.1236 | 249.0 | 82917 | 0.0825 | 0.9807 |
|
| 303 |
+
| 0.1223 | 250.0 | 83250 | 0.0812 | 0.9804 |
|
| 304 |
+
| 0.1278 | 251.0 | 83583 | 0.0809 | 0.9802 |
|
| 305 |
+
| 0.1278 | 252.0 | 83916 | 0.0784 | 0.9818 |
|
| 306 |
+
| 0.1238 | 253.0 | 84249 | 0.0793 | 0.9808 |
|
| 307 |
+
| 0.1259 | 254.0 | 84582 | 0.0813 | 0.9814 |
|
| 308 |
+
| 0.1259 | 255.0 | 84915 | 0.0803 | 0.981 |
|
| 309 |
+
| 0.1261 | 256.0 | 85248 | 0.0805 | 0.981 |
|
| 310 |
+
| 0.1312 | 257.0 | 85581 | 0.0816 | 0.9805 |
|
| 311 |
+
| 0.1312 | 258.0 | 85914 | 0.0803 | 0.9807 |
|
| 312 |
+
| 0.1237 | 259.0 | 86247 | 0.0790 | 0.9804 |
|
| 313 |
+
| 0.1234 | 260.0 | 86580 | 0.0793 | 0.9803 |
|
| 314 |
+
| 0.1234 | 261.0 | 86913 | 0.0792 | 0.9806 |
|
| 315 |
+
| 0.1237 | 262.0 | 87246 | 0.0800 | 0.9806 |
|
| 316 |
+
| 0.1257 | 263.0 | 87579 | 0.0824 | 0.9802 |
|
| 317 |
+
| 0.1257 | 264.0 | 87912 | 0.0818 | 0.9807 |
|
| 318 |
+
| 0.1219 | 265.0 | 88245 | 0.0821 | 0.9808 |
|
| 319 |
+
| 0.1298 | 266.0 | 88578 | 0.0817 | 0.9805 |
|
| 320 |
+
| 0.1298 | 267.0 | 88911 | 0.0816 | 0.9805 |
|
| 321 |
+
| 0.1222 | 268.0 | 89244 | 0.0814 | 0.9806 |
|
| 322 |
+
| 0.1268 | 269.0 | 89577 | 0.0816 | 0.9803 |
|
| 323 |
+
| 0.1268 | 270.0 | 89910 | 0.0825 | 0.981 |
|
| 324 |
+
| 0.1239 | 271.0 | 90243 | 0.0809 | 0.9802 |
|
| 325 |
+
| 0.1277 | 272.0 | 90576 | 0.0806 | 0.9804 |
|
| 326 |
+
| 0.1277 | 273.0 | 90909 | 0.0812 | 0.98 |
|
| 327 |
+
| 0.1235 | 274.0 | 91242 | 0.0814 | 0.9807 |
|
| 328 |
+
| 0.1261 | 275.0 | 91575 | 0.0809 | 0.9801 |
|
| 329 |
+
| 0.1261 | 276.0 | 91908 | 0.0803 | 0.9806 |
|
| 330 |
+
| 0.1219 | 277.0 | 92241 | 0.0807 | 0.9803 |
|
| 331 |
+
| 0.1235 | 278.0 | 92574 | 0.0806 | 0.9812 |
|
| 332 |
+
| 0.1235 | 279.0 | 92907 | 0.0799 | 0.9807 |
|
| 333 |
+
| 0.1232 | 280.0 | 93240 | 0.0801 | 0.9805 |
|
| 334 |
+
| 0.1236 | 281.0 | 93573 | 0.0808 | 0.9812 |
|
| 335 |
+
| 0.1236 | 282.0 | 93906 | 0.0811 | 0.9807 |
|
| 336 |
+
| 0.1195 | 283.0 | 94239 | 0.0814 | 0.9804 |
|
| 337 |
+
| 0.1191 | 284.0 | 94572 | 0.0812 | 0.9804 |
|
| 338 |
+
| 0.1191 | 285.0 | 94905 | 0.0818 | 0.9805 |
|
| 339 |
+
| 0.1205 | 286.0 | 95238 | 0.0814 | 0.9807 |
|
| 340 |
+
| 0.1203 | 287.0 | 95571 | 0.0818 | 0.9808 |
|
| 341 |
+
| 0.1203 | 288.0 | 95904 | 0.0803 | 0.9806 |
|
| 342 |
+
| 0.1197 | 289.0 | 96237 | 0.0810 | 0.9812 |
|
| 343 |
+
| 0.1233 | 290.0 | 96570 | 0.0813 | 0.9811 |
|
| 344 |
+
| 0.1233 | 291.0 | 96903 | 0.0810 | 0.9813 |
|
| 345 |
+
| 0.12 | 292.0 | 97236 | 0.0806 | 0.9813 |
|
| 346 |
+
| 0.1219 | 293.0 | 97569 | 0.0810 | 0.9816 |
|
| 347 |
+
| 0.1219 | 294.0 | 97902 | 0.0807 | 0.9815 |
|
| 348 |
+
| 0.1202 | 295.0 | 98235 | 0.0808 | 0.9813 |
|
| 349 |
+
| 0.1228 | 296.0 | 98568 | 0.0808 | 0.9815 |
|
| 350 |
+
| 0.1228 | 297.0 | 98901 | 0.0807 | 0.9813 |
|
| 351 |
+
| 0.1212 | 298.0 | 99234 | 0.0807 | 0.9812 |
|
| 352 |
+
| 0.1214 | 299.0 | 99567 | 0.0807 | 0.9812 |
|
| 353 |
+
| 0.1214 | 300.0 | 99900 | 0.0807 | 0.981 |
|
| 354 |
+
|
| 355 |
+
|
| 356 |
+
### Framework versions
|
| 357 |
+
|
| 358 |
+
- Transformers 4.39.3
|
| 359 |
+
- Pytorch 2.2.2+cu118
|
| 360 |
+
- Datasets 2.18.0
|
| 361 |
+
- Tokenizers 0.15.2
|
all_results.json
ADDED
|
@@ -0,0 +1,17 @@
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"dr_accuracy": 0.9999529411764706,
|
| 3 |
+
"dr_loss": 0.000545593851711601,
|
| 4 |
+
"dr_runtime": 49.2834,
|
| 5 |
+
"dr_samples_per_second": 862.36,
|
| 6 |
+
"dr_steps_per_second": 3.389,
|
| 7 |
+
"epoch": 300.0,
|
| 8 |
+
"test_accuracy": 0.9818,
|
| 9 |
+
"test_loss": 0.07287651300430298,
|
| 10 |
+
"test_runtime": 13.341,
|
| 11 |
+
"test_samples_per_second": 749.571,
|
| 12 |
+
"test_steps_per_second": 2.998,
|
| 13 |
+
"train_loss": 0.17093151241451413,
|
| 14 |
+
"train_runtime": 47820.897,
|
| 15 |
+
"train_samples_per_second": 266.62,
|
| 16 |
+
"train_steps_per_second": 2.089
|
| 17 |
+
}
|
config.json
ADDED
|
@@ -0,0 +1,78 @@
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|
|
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|
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|
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|
|
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|
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|
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|
|
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|
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|
|
|
|
|
|
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|
|
|
|
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|
|
|
|
|
|
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|
|
|
|
|
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|
|
|
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|
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|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"_name_or_path": "microsoft/swin-tiny-patch4-window7-224",
|
| 3 |
+
"architectures": [
|
| 4 |
+
"SwinForImageClassification"
|
| 5 |
+
],
|
| 6 |
+
"attention_probs_dropout_prob": 0.0,
|
| 7 |
+
"depths": [
|
| 8 |
+
2,
|
| 9 |
+
2,
|
| 10 |
+
6,
|
| 11 |
+
2
|
| 12 |
+
],
|
| 13 |
+
"drop_path_rate": 0.1,
|
| 14 |
+
"embed_dim": 96,
|
| 15 |
+
"encoder_stride": 32,
|
| 16 |
+
"finetuning_task": "image-classification",
|
| 17 |
+
"hidden_act": "gelu",
|
| 18 |
+
"hidden_dropout_prob": 0.0,
|
| 19 |
+
"hidden_size": 768,
|
| 20 |
+
"id2label": {
|
| 21 |
+
"0": "airplane",
|
| 22 |
+
"1": "automobile",
|
| 23 |
+
"2": "bird",
|
| 24 |
+
"3": "cat",
|
| 25 |
+
"4": "deer",
|
| 26 |
+
"5": "dog",
|
| 27 |
+
"6": "frog",
|
| 28 |
+
"7": "horse",
|
| 29 |
+
"8": "ship",
|
| 30 |
+
"9": "truck"
|
| 31 |
+
},
|
| 32 |
+
"image_size": 224,
|
| 33 |
+
"initializer_range": 0.02,
|
| 34 |
+
"label2id": {
|
| 35 |
+
"airplane": "0",
|
| 36 |
+
"automobile": "1",
|
| 37 |
+
"bird": "2",
|
| 38 |
+
"cat": "3",
|
| 39 |
+
"deer": "4",
|
| 40 |
+
"dog": "5",
|
| 41 |
+
"frog": "6",
|
| 42 |
+
"horse": "7",
|
| 43 |
+
"ship": "8",
|
| 44 |
+
"truck": "9"
|
| 45 |
+
},
|
| 46 |
+
"layer_norm_eps": 1e-05,
|
| 47 |
+
"mlp_ratio": 4.0,
|
| 48 |
+
"model_type": "swin",
|
| 49 |
+
"num_channels": 3,
|
| 50 |
+
"num_heads": [
|
| 51 |
+
3,
|
| 52 |
+
6,
|
| 53 |
+
12,
|
| 54 |
+
24
|
| 55 |
+
],
|
| 56 |
+
"num_layers": 4,
|
| 57 |
+
"out_features": [
|
| 58 |
+
"stage4"
|
| 59 |
+
],
|
| 60 |
+
"out_indices": [
|
| 61 |
+
4
|
| 62 |
+
],
|
| 63 |
+
"patch_size": 4,
|
| 64 |
+
"path_norm": true,
|
| 65 |
+
"problem_type": "single_label_classification",
|
| 66 |
+
"qkv_bias": true,
|
| 67 |
+
"stage_names": [
|
| 68 |
+
"stem",
|
| 69 |
+
"stage1",
|
| 70 |
+
"stage2",
|
| 71 |
+
"stage3",
|
| 72 |
+
"stage4"
|
| 73 |
+
],
|
| 74 |
+
"torch_dtype": "float32",
|
| 75 |
+
"transformers_version": "4.39.3",
|
| 76 |
+
"use_absolute_embeddings": false,
|
| 77 |
+
"window_size": 7
|
| 78 |
+
}
|
dr_results.json
ADDED
|
@@ -0,0 +1,8 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"dr_accuracy": 0.9999529411764706,
|
| 3 |
+
"dr_loss": 0.000545593851711601,
|
| 4 |
+
"dr_runtime": 49.2834,
|
| 5 |
+
"dr_samples_per_second": 862.36,
|
| 6 |
+
"dr_steps_per_second": 3.389,
|
| 7 |
+
"epoch": 300.0
|
| 8 |
+
}
|
model.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
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| 2 |
+
oid sha256:963f222b69f9b8c0442b9dad18f08004d7dc5f703972fce183b7d019f4053c41
|
| 3 |
+
size 110367448
|
preprocessor_config.json
ADDED
|
@@ -0,0 +1,36 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"_valid_processor_keys": [
|
| 3 |
+
"images",
|
| 4 |
+
"do_resize",
|
| 5 |
+
"size",
|
| 6 |
+
"resample",
|
| 7 |
+
"do_rescale",
|
| 8 |
+
"rescale_factor",
|
| 9 |
+
"do_normalize",
|
| 10 |
+
"image_mean",
|
| 11 |
+
"image_std",
|
| 12 |
+
"return_tensors",
|
| 13 |
+
"data_format",
|
| 14 |
+
"input_data_format"
|
| 15 |
+
],
|
| 16 |
+
"do_normalize": true,
|
| 17 |
+
"do_rescale": true,
|
| 18 |
+
"do_resize": true,
|
| 19 |
+
"image_mean": [
|
| 20 |
+
0.485,
|
| 21 |
+
0.456,
|
| 22 |
+
0.406
|
| 23 |
+
],
|
| 24 |
+
"image_processor_type": "ViTImageProcessor",
|
| 25 |
+
"image_std": [
|
| 26 |
+
0.229,
|
| 27 |
+
0.224,
|
| 28 |
+
0.225
|
| 29 |
+
],
|
| 30 |
+
"resample": 3,
|
| 31 |
+
"rescale_factor": 0.00392156862745098,
|
| 32 |
+
"size": {
|
| 33 |
+
"height": 224,
|
| 34 |
+
"width": 224
|
| 35 |
+
}
|
| 36 |
+
}
|
test_results.json
ADDED
|
@@ -0,0 +1,8 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"epoch": 300.0,
|
| 3 |
+
"test_accuracy": 0.9818,
|
| 4 |
+
"test_loss": 0.07287651300430298,
|
| 5 |
+
"test_runtime": 13.341,
|
| 6 |
+
"test_samples_per_second": 749.571,
|
| 7 |
+
"test_steps_per_second": 2.998
|
| 8 |
+
}
|
train_results.json
ADDED
|
@@ -0,0 +1,7 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"epoch": 300.0,
|
| 3 |
+
"train_loss": 0.17093151241451413,
|
| 4 |
+
"train_runtime": 47820.897,
|
| 5 |
+
"train_samples_per_second": 266.62,
|
| 6 |
+
"train_steps_per_second": 2.089
|
| 7 |
+
}
|
trainer_state.json
ADDED
|
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See raw diff
|
|
|
training_args.bin
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
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| 2 |
+
oid sha256:3516d0d234a45f72292b9b976080cc8e5a11eb372040726922bc2a9b211bcc39
|
| 3 |
+
size 4984
|