cards_bottom_left_swin-tiny-patch4-window7-224-finetuned-dough_100_epochs
This model is a fine-tuned version of microsoft/swin-tiny-patch4-window7-224 on the imagefolder dataset. It achieves the following results on the evaluation set:
- Loss: 1.0025
- Accuracy: 0.5947
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:
- learning_rate: 5e-05
- train_batch_size: 32
- eval_batch_size: 32
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 128
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 100
Training results
Training Loss | Epoch | Step | Validation Loss | Accuracy |
---|---|---|---|---|
1.6956 | 1.0 | 1252 | 1.4843 | 0.3970 |
1.5633 | 2.0 | 2504 | 1.2584 | 0.4782 |
1.5568 | 3.0 | 3756 | 1.1976 | 0.4918 |
1.4727 | 4.0 | 5009 | 1.1884 | 0.4916 |
1.468 | 5.0 | 6261 | 1.1909 | 0.4889 |
1.4663 | 6.0 | 7513 | 1.1263 | 0.5288 |
1.4409 | 7.0 | 8765 | 1.0967 | 0.5441 |
1.4329 | 8.0 | 10018 | 1.0976 | 0.5388 |
1.4842 | 9.0 | 11270 | 1.1076 | 0.5315 |
1.4253 | 10.0 | 12522 | 1.0634 | 0.5511 |
1.3888 | 11.0 | 13774 | 1.0489 | 0.5634 |
1.3681 | 12.0 | 15027 | 1.0663 | 0.5567 |
1.3802 | 13.0 | 16279 | 1.0304 | 0.5667 |
1.4016 | 14.0 | 17531 | 1.0592 | 0.5518 |
1.376 | 15.0 | 18783 | 1.0080 | 0.5776 |
1.3539 | 16.0 | 20036 | 1.0103 | 0.5742 |
1.3725 | 17.0 | 21288 | 1.0261 | 0.5636 |
1.3104 | 18.0 | 22540 | 1.0304 | 0.5686 |
1.3448 | 19.0 | 23792 | 1.0184 | 0.5687 |
1.3479 | 20.0 | 25045 | 0.9968 | 0.5809 |
1.3517 | 21.0 | 26297 | 1.1350 | 0.5182 |
1.3367 | 22.0 | 27549 | 0.9835 | 0.5867 |
1.3002 | 23.0 | 28801 | 1.0193 | 0.5736 |
1.3238 | 24.0 | 30054 | 0.9820 | 0.5875 |
1.2865 | 25.0 | 31306 | 1.0267 | 0.5617 |
1.3029 | 26.0 | 32558 | 1.0086 | 0.5730 |
1.3173 | 27.0 | 33810 | 0.9750 | 0.5924 |
1.297 | 28.0 | 35063 | 0.9851 | 0.5848 |
1.3105 | 29.0 | 36315 | 1.0306 | 0.5685 |
1.3477 | 30.0 | 37567 | 0.9977 | 0.5845 |
1.2565 | 31.0 | 38819 | 0.9900 | 0.5851 |
1.2657 | 32.0 | 40072 | 1.0137 | 0.5862 |
1.2911 | 33.0 | 41324 | 0.9947 | 0.5889 |
1.2539 | 34.0 | 42576 | 0.9821 | 0.5914 |
1.2441 | 35.0 | 43828 | 1.0296 | 0.5763 |
1.2176 | 36.0 | 45081 | 1.0350 | 0.5806 |
1.25 | 37.0 | 46333 | 1.0195 | 0.5779 |
1.2647 | 38.0 | 47585 | 1.0021 | 0.5903 |
1.2428 | 39.0 | 48837 | 1.0087 | 0.5892 |
1.2364 | 40.0 | 50090 | 1.0025 | 0.5947 |
1.2083 | 41.0 | 51342 | 1.0427 | 0.5862 |
1.2002 | 42.0 | 52594 | 1.0303 | 0.5878 |
1.2071 | 43.0 | 53846 | 1.0190 | 0.5909 |
1.1536 | 44.0 | 55099 | 1.0314 | 0.5920 |
1.2029 | 45.0 | 56351 | 1.0570 | 0.5839 |
1.2249 | 46.0 | 57603 | 1.0508 | 0.5828 |
1.1913 | 47.0 | 58855 | 1.0493 | 0.5853 |
1.1938 | 48.0 | 60108 | 1.0575 | 0.5857 |
1.1724 | 49.0 | 61360 | 1.0700 | 0.5905 |
1.1536 | 50.0 | 62612 | 1.0841 | 0.5853 |
1.1239 | 51.0 | 63864 | 1.0803 | 0.5865 |
1.1743 | 52.0 | 65117 | 1.0864 | 0.5880 |
1.1414 | 53.0 | 66369 | 1.1224 | 0.5819 |
1.1411 | 54.0 | 67621 | 1.1316 | 0.5780 |
1.1029 | 55.0 | 68873 | 1.1070 | 0.5860 |
1.1353 | 56.0 | 70126 | 1.1247 | 0.5847 |
1.1293 | 57.0 | 71378 | 1.1279 | 0.5805 |
1.1335 | 58.0 | 72630 | 1.1482 | 0.5812 |
1.1157 | 59.0 | 73882 | 1.1960 | 0.5674 |
1.0891 | 60.0 | 75135 | 1.1414 | 0.5848 |
1.1299 | 61.0 | 76387 | 1.1658 | 0.5790 |
1.0828 | 62.0 | 77639 | 1.1753 | 0.5806 |
1.0866 | 63.0 | 78891 | 1.1767 | 0.5755 |
1.0721 | 64.0 | 80144 | 1.1861 | 0.5808 |
1.0682 | 65.0 | 81396 | 1.2083 | 0.5749 |
1.0747 | 66.0 | 82648 | 1.2204 | 0.5755 |
1.0902 | 67.0 | 83900 | 1.2175 | 0.5750 |
1.0381 | 68.0 | 85153 | 1.2445 | 0.5738 |
1.049 | 69.0 | 86405 | 1.2674 | 0.5707 |
1.0501 | 70.0 | 87657 | 1.2602 | 0.5740 |
1.0117 | 71.0 | 88909 | 1.2549 | 0.5687 |
1.0179 | 72.0 | 90162 | 1.3010 | 0.5690 |
1.0788 | 73.0 | 91414 | 1.2723 | 0.5726 |
1.0234 | 74.0 | 92666 | 1.3162 | 0.5717 |
1.0325 | 75.0 | 93918 | 1.3136 | 0.5692 |
1.0079 | 76.0 | 95171 | 1.3337 | 0.5655 |
1.058 | 77.0 | 96423 | 1.3171 | 0.5719 |
0.9968 | 78.0 | 97675 | 1.3470 | 0.5693 |
1.0217 | 79.0 | 98927 | 1.3418 | 0.5733 |
1.0124 | 80.0 | 100180 | 1.3518 | 0.5700 |
0.9823 | 81.0 | 101432 | 1.3646 | 0.5700 |
0.9627 | 82.0 | 102684 | 1.3658 | 0.5686 |
0.9773 | 83.0 | 103936 | 1.3811 | 0.5674 |
0.9855 | 84.0 | 105189 | 1.4082 | 0.5638 |
0.9928 | 85.0 | 106441 | 1.3877 | 0.5612 |
1.0025 | 86.0 | 107693 | 1.3925 | 0.5653 |
0.9583 | 87.0 | 108945 | 1.4313 | 0.5625 |
0.977 | 88.0 | 110198 | 1.4153 | 0.5651 |
0.9825 | 89.0 | 111450 | 1.4426 | 0.5619 |
0.9315 | 90.0 | 112702 | 1.4376 | 0.5643 |
0.8916 | 91.0 | 113954 | 1.4630 | 0.5618 |
0.9495 | 92.0 | 115207 | 1.4501 | 0.5627 |
0.9372 | 93.0 | 116459 | 1.4606 | 0.5622 |
0.9284 | 94.0 | 117711 | 1.4725 | 0.5608 |
0.9266 | 95.0 | 118963 | 1.4680 | 0.5607 |
0.8858 | 96.0 | 120216 | 1.4705 | 0.5626 |
0.9025 | 97.0 | 121468 | 1.4818 | 0.5616 |
0.902 | 98.0 | 122720 | 1.4871 | 0.5606 |
0.8961 | 99.0 | 123972 | 1.4881 | 0.5612 |
0.9204 | 99.98 | 125200 | 1.4894 | 0.5609 |
Framework versions
- Transformers 4.31.0
- Pytorch 2.0.1+cu117
- Datasets 2.17.0
- Tokenizers 0.13.3
- Downloads last month
- 13,769
This model does not have enough activity to be deployed to Inference API (serverless) yet. Increase its social
visibility and check back later, or deploy to Inference Endpoints (dedicated)
instead.
Model tree for sai17/cards_bottom_left_swin-tiny-patch4-window7-224-finetuned-dough_100_epochs
Base model
microsoft/swin-tiny-patch4-window7-224