jialicheng
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Browse files- README.md +361 -0
- all_results.json +17 -0
- checkpoint-30969/config.json +258 -0
- checkpoint-30969/model.safetensors +3 -0
- checkpoint-30969/optimizer.pt +3 -0
- checkpoint-30969/preprocessor_config.json +36 -0
- checkpoint-30969/rng_state.pth +3 -0
- checkpoint-30969/scheduler.pt +3 -0
- checkpoint-30969/trainer_state.json +0 -0
- checkpoint-30969/training_args.bin +3 -0
- config.json +258 -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 |
+
---
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license: apache-2.0
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base_model: microsoft/swin-tiny-patch4-window7-224
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tags:
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- image-classification
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- vision
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- generated_from_trainer
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metrics:
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- accuracy
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model-index:
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- name: swin-tiny
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+
results: []
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+
---
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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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should probably proofread and complete it, then remove this comment. -->
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+
# swin-tiny
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+
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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 cifar100 dataset.
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+
It achieves the following results on the evaluation set:
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+
- Loss: 0.5505
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- Accuracy: 0.8646
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## Model description
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More information needed
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## Intended uses & limitations
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More information needed
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## Training and evaluation data
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More information needed
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## Training procedure
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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate: 1e-05
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- train_batch_size: 128
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- eval_batch_size: 256
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- seed: 42
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: linear
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- num_epochs: 300
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Accuracy |
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53 |
+
|:-------------:|:-----:|:-----:|:---------------:|:--------:|
|
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| 2.8188 | 1.0 | 333 | 2.4232 | 0.4372 |
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| 2.0411 | 2.0 | 666 | 1.4235 | 0.6269 |
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| 1.7069 | 3.0 | 999 | 1.0558 | 0.7102 |
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| 1.5722 | 4.0 | 1332 | 0.8657 | 0.7504 |
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| 1.346 | 5.0 | 1665 | 0.7774 | 0.7721 |
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| 1.303 | 6.0 | 1998 | 0.7138 | 0.7874 |
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| 1.2045 | 7.0 | 2331 | 0.6616 | 0.7986 |
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| 1.2482 | 8.0 | 2664 | 0.6210 | 0.8128 |
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| 1.1202 | 9.0 | 2997 | 0.5925 | 0.8185 |
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| 1.0021 | 10.0 | 3330 | 0.5728 | 0.8235 |
|
64 |
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| 1.0662 | 11.0 | 3663 | 0.5637 | 0.829 |
|
65 |
+
| 1.0263 | 12.0 | 3996 | 0.5442 | 0.8303 |
|
66 |
+
| 1.0581 | 13.0 | 4329 | 0.5319 | 0.8379 |
|
67 |
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| 0.9922 | 14.0 | 4662 | 0.5215 | 0.8388 |
|
68 |
+
| 0.9643 | 15.0 | 4995 | 0.5144 | 0.8399 |
|
69 |
+
| 0.9687 | 16.0 | 5328 | 0.5103 | 0.8413 |
|
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| 0.9464 | 17.0 | 5661 | 0.5021 | 0.8422 |
|
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| 0.8651 | 18.0 | 5994 | 0.4867 | 0.8483 |
|
72 |
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| 0.8122 | 19.0 | 6327 | 0.4865 | 0.8457 |
|
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+
| 0.7918 | 20.0 | 6660 | 0.4877 | 0.8486 |
|
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| 0.8994 | 21.0 | 6993 | 0.4836 | 0.8502 |
|
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| 0.8661 | 22.0 | 7326 | 0.4736 | 0.8538 |
|
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| 0.869 | 23.0 | 7659 | 0.4703 | 0.8528 |
|
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| 0.8681 | 24.0 | 7992 | 0.4798 | 0.8513 |
|
78 |
+
| 0.7693 | 25.0 | 8325 | 0.4680 | 0.8523 |
|
79 |
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| 0.8693 | 26.0 | 8658 | 0.4646 | 0.8579 |
|
80 |
+
| 0.8041 | 27.0 | 8991 | 0.4686 | 0.8555 |
|
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| 0.8036 | 28.0 | 9324 | 0.4609 | 0.8578 |
|
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| 0.7571 | 29.0 | 9657 | 0.4597 | 0.8616 |
|
83 |
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| 0.7666 | 30.0 | 9990 | 0.4581 | 0.8606 |
|
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| 0.7226 | 31.0 | 10323 | 0.4569 | 0.8601 |
|
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| 0.7179 | 32.0 | 10656 | 0.4573 | 0.8628 |
|
86 |
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| 0.6866 | 33.0 | 10989 | 0.4567 | 0.8606 |
|
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| 0.7002 | 34.0 | 11322 | 0.4672 | 0.8576 |
|
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| 0.7499 | 35.0 | 11655 | 0.4624 | 0.8611 |
|
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+
| 0.7393 | 36.0 | 11988 | 0.4579 | 0.8604 |
|
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| 0.7393 | 37.0 | 12321 | 0.4560 | 0.8619 |
|
91 |
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| 0.7599 | 38.0 | 12654 | 0.4503 | 0.8637 |
|
92 |
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| 0.6636 | 39.0 | 12987 | 0.4542 | 0.8636 |
|
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| 0.6759 | 40.0 | 13320 | 0.4483 | 0.8631 |
|
94 |
+
| 0.7266 | 41.0 | 13653 | 0.4484 | 0.8636 |
|
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| 0.6819 | 42.0 | 13986 | 0.4453 | 0.8647 |
|
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| 0.5912 | 43.0 | 14319 | 0.4493 | 0.864 |
|
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+
| 0.6803 | 44.0 | 14652 | 0.4453 | 0.8646 |
|
98 |
+
| 0.6898 | 45.0 | 14985 | 0.4458 | 0.8628 |
|
99 |
+
| 0.6312 | 46.0 | 15318 | 0.4499 | 0.8636 |
|
100 |
+
| 0.6972 | 47.0 | 15651 | 0.4494 | 0.8646 |
|
101 |
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| 0.616 | 48.0 | 15984 | 0.4525 | 0.8674 |
|
102 |
+
| 0.6911 | 49.0 | 16317 | 0.4506 | 0.8637 |
|
103 |
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| 0.6737 | 50.0 | 16650 | 0.4504 | 0.8648 |
|
104 |
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| 0.5573 | 51.0 | 16983 | 0.4542 | 0.8641 |
|
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+
| 0.6296 | 52.0 | 17316 | 0.4573 | 0.8626 |
|
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| 0.6245 | 53.0 | 17649 | 0.4550 | 0.8647 |
|
107 |
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| 0.6018 | 54.0 | 17982 | 0.4509 | 0.8668 |
|
108 |
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| 0.6068 | 55.0 | 18315 | 0.4561 | 0.865 |
|
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| 0.6368 | 56.0 | 18648 | 0.4533 | 0.8666 |
|
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+
| 0.5945 | 57.0 | 18981 | 0.4537 | 0.8646 |
|
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+
| 0.5379 | 58.0 | 19314 | 0.4583 | 0.8644 |
|
112 |
+
| 0.6031 | 59.0 | 19647 | 0.4574 | 0.8647 |
|
113 |
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| 0.5445 | 60.0 | 19980 | 0.4607 | 0.8629 |
|
114 |
+
| 0.5589 | 61.0 | 20313 | 0.4619 | 0.8649 |
|
115 |
+
| 0.5777 | 62.0 | 20646 | 0.4740 | 0.8626 |
|
116 |
+
| 0.5711 | 63.0 | 20979 | 0.4684 | 0.8659 |
|
117 |
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| 0.5369 | 64.0 | 21312 | 0.4655 | 0.8639 |
|
118 |
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| 0.5454 | 65.0 | 21645 | 0.4574 | 0.867 |
|
119 |
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| 0.5471 | 66.0 | 21978 | 0.4579 | 0.8655 |
|
120 |
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| 0.5816 | 67.0 | 22311 | 0.4610 | 0.8662 |
|
121 |
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| 0.5262 | 68.0 | 22644 | 0.4631 | 0.8646 |
|
122 |
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| 0.5163 | 69.0 | 22977 | 0.4532 | 0.8677 |
|
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| 0.5231 | 70.0 | 23310 | 0.4635 | 0.867 |
|
124 |
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| 0.5672 | 71.0 | 23643 | 0.4626 | 0.8668 |
|
125 |
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| 0.501 | 72.0 | 23976 | 0.4601 | 0.8677 |
|
126 |
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| 0.527 | 73.0 | 24309 | 0.4661 | 0.8644 |
|
127 |
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| 0.5618 | 74.0 | 24642 | 0.4677 | 0.8664 |
|
128 |
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| 0.5161 | 75.0 | 24975 | 0.4630 | 0.8691 |
|
129 |
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| 0.5158 | 76.0 | 25308 | 0.4691 | 0.8671 |
|
130 |
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| 0.54 | 77.0 | 25641 | 0.4645 | 0.8696 |
|
131 |
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| 0.5352 | 78.0 | 25974 | 0.4805 | 0.8649 |
|
132 |
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| 0.5433 | 79.0 | 26307 | 0.4696 | 0.867 |
|
133 |
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| 0.5555 | 80.0 | 26640 | 0.4745 | 0.8657 |
|
134 |
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| 0.5248 | 81.0 | 26973 | 0.4767 | 0.8655 |
|
135 |
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| 0.4648 | 82.0 | 27306 | 0.4730 | 0.8681 |
|
136 |
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| 0.5853 | 83.0 | 27639 | 0.4781 | 0.8656 |
|
137 |
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| 0.5298 | 84.0 | 27972 | 0.4729 | 0.869 |
|
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| 0.4484 | 85.0 | 28305 | 0.4741 | 0.869 |
|
139 |
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| 0.4765 | 86.0 | 28638 | 0.4877 | 0.8633 |
|
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| 0.5409 | 87.0 | 28971 | 0.4807 | 0.8664 |
|
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| 0.4778 | 88.0 | 29304 | 0.4753 | 0.8677 |
|
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| 0.508 | 89.0 | 29637 | 0.4750 | 0.867 |
|
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| 0.4567 | 90.0 | 29970 | 0.4816 | 0.8681 |
|
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| 0.4828 | 91.0 | 30303 | 0.4806 | 0.8659 |
|
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| 0.4357 | 92.0 | 30636 | 0.4770 | 0.8676 |
|
146 |
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| 0.5117 | 93.0 | 30969 | 0.4741 | 0.8714 |
|
147 |
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| 0.4756 | 94.0 | 31302 | 0.4860 | 0.8639 |
|
148 |
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| 0.4575 | 95.0 | 31635 | 0.4855 | 0.8652 |
|
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| 0.4657 | 96.0 | 31968 | 0.4828 | 0.8677 |
|
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| 0.4746 | 97.0 | 32301 | 0.4850 | 0.8676 |
|
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| 0.5466 | 98.0 | 32634 | 0.4890 | 0.8662 |
|
152 |
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| 0.49 | 99.0 | 32967 | 0.4879 | 0.8663 |
|
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| 0.4886 | 100.0 | 33300 | 0.4859 | 0.869 |
|
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| 0.4763 | 101.0 | 33633 | 0.4840 | 0.868 |
|
155 |
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| 0.5143 | 102.0 | 33966 | 0.4940 | 0.8673 |
|
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| 0.4732 | 103.0 | 34299 | 0.4827 | 0.8699 |
|
157 |
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| 0.481 | 104.0 | 34632 | 0.4891 | 0.8686 |
|
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| 0.5015 | 105.0 | 34965 | 0.5004 | 0.8651 |
|
159 |
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| 0.4596 | 106.0 | 35298 | 0.4950 | 0.8669 |
|
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| 0.4201 | 107.0 | 35631 | 0.4920 | 0.866 |
|
161 |
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| 0.4358 | 108.0 | 35964 | 0.4954 | 0.8643 |
|
162 |
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| 0.4588 | 109.0 | 36297 | 0.4923 | 0.8649 |
|
163 |
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| 0.4681 | 110.0 | 36630 | 0.4948 | 0.8654 |
|
164 |
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| 0.4602 | 111.0 | 36963 | 0.4961 | 0.8677 |
|
165 |
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| 0.4871 | 112.0 | 37296 | 0.5005 | 0.8634 |
|
166 |
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| 0.4144 | 113.0 | 37629 | 0.4988 | 0.8657 |
|
167 |
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| 0.4735 | 114.0 | 37962 | 0.4976 | 0.8654 |
|
168 |
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| 0.4621 | 115.0 | 38295 | 0.4937 | 0.867 |
|
169 |
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| 0.467 | 116.0 | 38628 | 0.4961 | 0.8671 |
|
170 |
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| 0.4328 | 117.0 | 38961 | 0.4987 | 0.8662 |
|
171 |
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| 0.3697 | 118.0 | 39294 | 0.4968 | 0.8667 |
|
172 |
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| 0.4668 | 119.0 | 39627 | 0.5020 | 0.8655 |
|
173 |
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| 0.4095 | 120.0 | 39960 | 0.4992 | 0.8674 |
|
174 |
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| 0.4019 | 121.0 | 40293 | 0.5088 | 0.864 |
|
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| 0.3627 | 122.0 | 40626 | 0.5078 | 0.8658 |
|
176 |
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| 0.3875 | 123.0 | 40959 | 0.5079 | 0.8656 |
|
177 |
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| 0.4696 | 124.0 | 41292 | 0.5006 | 0.8653 |
|
178 |
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| 0.4071 | 125.0 | 41625 | 0.5089 | 0.8638 |
|
179 |
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| 0.4485 | 126.0 | 41958 | 0.5067 | 0.8636 |
|
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| 0.4565 | 127.0 | 42291 | 0.5060 | 0.8644 |
|
181 |
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| 0.4633 | 128.0 | 42624 | 0.5130 | 0.8637 |
|
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| 0.4259 | 129.0 | 42957 | 0.5053 | 0.867 |
|
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| 0.4668 | 130.0 | 43290 | 0.5131 | 0.8647 |
|
184 |
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| 0.4916 | 131.0 | 43623 | 0.5055 | 0.8656 |
|
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| 0.4068 | 132.0 | 43956 | 0.5117 | 0.8669 |
|
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| 0.4187 | 133.0 | 44289 | 0.5151 | 0.8639 |
|
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| 0.4197 | 134.0 | 44622 | 0.5068 | 0.8685 |
|
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| 0.3916 | 135.0 | 44955 | 0.5028 | 0.8684 |
|
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| 0.4084 | 136.0 | 45288 | 0.5097 | 0.8662 |
|
190 |
+
| 0.405 | 137.0 | 45621 | 0.5061 | 0.8664 |
|
191 |
+
| 0.3752 | 138.0 | 45954 | 0.5129 | 0.8656 |
|
192 |
+
| 0.4338 | 139.0 | 46287 | 0.5147 | 0.8654 |
|
193 |
+
| 0.4865 | 140.0 | 46620 | 0.5171 | 0.8638 |
|
194 |
+
| 0.4771 | 141.0 | 46953 | 0.5166 | 0.865 |
|
195 |
+
| 0.4824 | 142.0 | 47286 | 0.5209 | 0.8645 |
|
196 |
+
| 0.4026 | 143.0 | 47619 | 0.5266 | 0.8649 |
|
197 |
+
| 0.436 | 144.0 | 47952 | 0.5200 | 0.8658 |
|
198 |
+
| 0.3487 | 145.0 | 48285 | 0.5185 | 0.8644 |
|
199 |
+
| 0.3615 | 146.0 | 48618 | 0.5202 | 0.8638 |
|
200 |
+
| 0.4317 | 147.0 | 48951 | 0.5198 | 0.8658 |
|
201 |
+
| 0.4171 | 148.0 | 49284 | 0.5236 | 0.8648 |
|
202 |
+
| 0.3833 | 149.0 | 49617 | 0.5228 | 0.865 |
|
203 |
+
| 0.3934 | 150.0 | 49950 | 0.5223 | 0.8649 |
|
204 |
+
| 0.4226 | 151.0 | 50283 | 0.5184 | 0.8657 |
|
205 |
+
| 0.4112 | 152.0 | 50616 | 0.5187 | 0.8644 |
|
206 |
+
| 0.4202 | 153.0 | 50949 | 0.5191 | 0.8648 |
|
207 |
+
| 0.4026 | 154.0 | 51282 | 0.5165 | 0.8669 |
|
208 |
+
| 0.4322 | 155.0 | 51615 | 0.5215 | 0.8649 |
|
209 |
+
| 0.3763 | 156.0 | 51948 | 0.5235 | 0.8659 |
|
210 |
+
| 0.4191 | 157.0 | 52281 | 0.5213 | 0.866 |
|
211 |
+
| 0.3864 | 158.0 | 52614 | 0.5225 | 0.8662 |
|
212 |
+
| 0.3974 | 159.0 | 52947 | 0.5248 | 0.8653 |
|
213 |
+
| 0.355 | 160.0 | 53280 | 0.5265 | 0.8626 |
|
214 |
+
| 0.3511 | 161.0 | 53613 | 0.5227 | 0.8665 |
|
215 |
+
| 0.3945 | 162.0 | 53946 | 0.5201 | 0.8662 |
|
216 |
+
| 0.3869 | 163.0 | 54279 | 0.5280 | 0.8633 |
|
217 |
+
| 0.4148 | 164.0 | 54612 | 0.5258 | 0.8649 |
|
218 |
+
| 0.3829 | 165.0 | 54945 | 0.5282 | 0.8652 |
|
219 |
+
| 0.3415 | 166.0 | 55278 | 0.5249 | 0.8654 |
|
220 |
+
| 0.3599 | 167.0 | 55611 | 0.5252 | 0.8648 |
|
221 |
+
| 0.3705 | 168.0 | 55944 | 0.5301 | 0.8645 |
|
222 |
+
| 0.4122 | 169.0 | 56277 | 0.5358 | 0.8636 |
|
223 |
+
| 0.3473 | 170.0 | 56610 | 0.5298 | 0.8646 |
|
224 |
+
| 0.3825 | 171.0 | 56943 | 0.5256 | 0.8643 |
|
225 |
+
| 0.3841 | 172.0 | 57276 | 0.5229 | 0.8668 |
|
226 |
+
| 0.3543 | 173.0 | 57609 | 0.5270 | 0.8646 |
|
227 |
+
| 0.4086 | 174.0 | 57942 | 0.5240 | 0.8656 |
|
228 |
+
| 0.3832 | 175.0 | 58275 | 0.5280 | 0.8631 |
|
229 |
+
| 0.3515 | 176.0 | 58608 | 0.5302 | 0.8645 |
|
230 |
+
| 0.3749 | 177.0 | 58941 | 0.5316 | 0.8645 |
|
231 |
+
| 0.3298 | 178.0 | 59274 | 0.5290 | 0.8647 |
|
232 |
+
| 0.3758 | 179.0 | 59607 | 0.5272 | 0.8668 |
|
233 |
+
| 0.31 | 180.0 | 59940 | 0.5314 | 0.864 |
|
234 |
+
| 0.3521 | 181.0 | 60273 | 0.5259 | 0.8648 |
|
235 |
+
| 0.3922 | 182.0 | 60606 | 0.5316 | 0.8638 |
|
236 |
+
| 0.3391 | 183.0 | 60939 | 0.5316 | 0.8648 |
|
237 |
+
| 0.3646 | 184.0 | 61272 | 0.5329 | 0.8637 |
|
238 |
+
| 0.4033 | 185.0 | 61605 | 0.5357 | 0.8662 |
|
239 |
+
| 0.395 | 186.0 | 61938 | 0.5376 | 0.8634 |
|
240 |
+
| 0.3253 | 187.0 | 62271 | 0.5346 | 0.8647 |
|
241 |
+
| 0.416 | 188.0 | 62604 | 0.5357 | 0.8621 |
|
242 |
+
| 0.3494 | 189.0 | 62937 | 0.5332 | 0.864 |
|
243 |
+
| 0.4009 | 190.0 | 63270 | 0.5364 | 0.8639 |
|
244 |
+
| 0.3935 | 191.0 | 63603 | 0.5329 | 0.8668 |
|
245 |
+
| 0.3666 | 192.0 | 63936 | 0.5337 | 0.8641 |
|
246 |
+
| 0.3474 | 193.0 | 64269 | 0.5321 | 0.866 |
|
247 |
+
| 0.3873 | 194.0 | 64602 | 0.5336 | 0.8635 |
|
248 |
+
| 0.3722 | 195.0 | 64935 | 0.5319 | 0.8645 |
|
249 |
+
| 0.3525 | 196.0 | 65268 | 0.5347 | 0.8636 |
|
250 |
+
| 0.3561 | 197.0 | 65601 | 0.5407 | 0.8629 |
|
251 |
+
| 0.3946 | 198.0 | 65934 | 0.5361 | 0.8643 |
|
252 |
+
| 0.3768 | 199.0 | 66267 | 0.5387 | 0.8639 |
|
253 |
+
| 0.3328 | 200.0 | 66600 | 0.5325 | 0.8656 |
|
254 |
+
| 0.3418 | 201.0 | 66933 | 0.5306 | 0.8676 |
|
255 |
+
| 0.3542 | 202.0 | 67266 | 0.5321 | 0.8648 |
|
256 |
+
| 0.3688 | 203.0 | 67599 | 0.5430 | 0.8598 |
|
257 |
+
| 0.3685 | 204.0 | 67932 | 0.5405 | 0.8629 |
|
258 |
+
| 0.3252 | 205.0 | 68265 | 0.5411 | 0.8628 |
|
259 |
+
| 0.358 | 206.0 | 68598 | 0.5403 | 0.8621 |
|
260 |
+
| 0.3086 | 207.0 | 68931 | 0.5399 | 0.8626 |
|
261 |
+
| 0.3774 | 208.0 | 69264 | 0.5390 | 0.8628 |
|
262 |
+
| 0.3449 | 209.0 | 69597 | 0.5388 | 0.865 |
|
263 |
+
| 0.3268 | 210.0 | 69930 | 0.5363 | 0.8645 |
|
264 |
+
| 0.3549 | 211.0 | 70263 | 0.5437 | 0.8634 |
|
265 |
+
| 0.3296 | 212.0 | 70596 | 0.5486 | 0.8627 |
|
266 |
+
| 0.3461 | 213.0 | 70929 | 0.5414 | 0.8638 |
|
267 |
+
| 0.3292 | 214.0 | 71262 | 0.5445 | 0.864 |
|
268 |
+
| 0.3622 | 215.0 | 71595 | 0.5438 | 0.8626 |
|
269 |
+
| 0.3724 | 216.0 | 71928 | 0.5359 | 0.8665 |
|
270 |
+
| 0.3352 | 217.0 | 72261 | 0.5410 | 0.8658 |
|
271 |
+
| 0.3484 | 218.0 | 72594 | 0.5407 | 0.8638 |
|
272 |
+
| 0.3109 | 219.0 | 72927 | 0.5404 | 0.8653 |
|
273 |
+
| 0.3703 | 220.0 | 73260 | 0.5471 | 0.8641 |
|
274 |
+
| 0.3318 | 221.0 | 73593 | 0.5432 | 0.8638 |
|
275 |
+
| 0.3573 | 222.0 | 73926 | 0.5473 | 0.8631 |
|
276 |
+
| 0.3308 | 223.0 | 74259 | 0.5448 | 0.8663 |
|
277 |
+
| 0.3329 | 224.0 | 74592 | 0.5445 | 0.8635 |
|
278 |
+
| 0.3429 | 225.0 | 74925 | 0.5445 | 0.8631 |
|
279 |
+
| 0.3494 | 226.0 | 75258 | 0.5433 | 0.8632 |
|
280 |
+
| 0.327 | 227.0 | 75591 | 0.5457 | 0.8639 |
|
281 |
+
| 0.313 | 228.0 | 75924 | 0.5457 | 0.8651 |
|
282 |
+
| 0.3344 | 229.0 | 76257 | 0.5421 | 0.8649 |
|
283 |
+
| 0.2893 | 230.0 | 76590 | 0.5472 | 0.8645 |
|
284 |
+
| 0.3225 | 231.0 | 76923 | 0.5436 | 0.8651 |
|
285 |
+
| 0.3662 | 232.0 | 77256 | 0.5428 | 0.8654 |
|
286 |
+
| 0.3281 | 233.0 | 77589 | 0.5453 | 0.8654 |
|
287 |
+
| 0.3354 | 234.0 | 77922 | 0.5468 | 0.8648 |
|
288 |
+
| 0.3238 | 235.0 | 78255 | 0.5501 | 0.8638 |
|
289 |
+
| 0.292 | 236.0 | 78588 | 0.5419 | 0.8658 |
|
290 |
+
| 0.3863 | 237.0 | 78921 | 0.5445 | 0.8637 |
|
291 |
+
| 0.3368 | 238.0 | 79254 | 0.5451 | 0.8643 |
|
292 |
+
| 0.3011 | 239.0 | 79587 | 0.5459 | 0.8651 |
|
293 |
+
| 0.2977 | 240.0 | 79920 | 0.5476 | 0.8651 |
|
294 |
+
| 0.3695 | 241.0 | 80253 | 0.5412 | 0.8649 |
|
295 |
+
| 0.3683 | 242.0 | 80586 | 0.5449 | 0.865 |
|
296 |
+
| 0.2971 | 243.0 | 80919 | 0.5490 | 0.8658 |
|
297 |
+
| 0.3532 | 244.0 | 81252 | 0.5449 | 0.8666 |
|
298 |
+
| 0.3014 | 245.0 | 81585 | 0.5448 | 0.8657 |
|
299 |
+
| 0.4048 | 246.0 | 81918 | 0.5468 | 0.8654 |
|
300 |
+
| 0.3279 | 247.0 | 82251 | 0.5501 | 0.8661 |
|
301 |
+
| 0.3494 | 248.0 | 82584 | 0.5498 | 0.8661 |
|
302 |
+
| 0.3543 | 249.0 | 82917 | 0.5513 | 0.8652 |
|
303 |
+
| 0.3142 | 250.0 | 83250 | 0.5506 | 0.8645 |
|
304 |
+
| 0.3534 | 251.0 | 83583 | 0.5471 | 0.8657 |
|
305 |
+
| 0.3703 | 252.0 | 83916 | 0.5475 | 0.866 |
|
306 |
+
| 0.3331 | 253.0 | 84249 | 0.5462 | 0.8662 |
|
307 |
+
| 0.3349 | 254.0 | 84582 | 0.5467 | 0.8649 |
|
308 |
+
| 0.3737 | 255.0 | 84915 | 0.5496 | 0.8635 |
|
309 |
+
| 0.394 | 256.0 | 85248 | 0.5489 | 0.8643 |
|
310 |
+
| 0.3394 | 257.0 | 85581 | 0.5514 | 0.8649 |
|
311 |
+
| 0.2963 | 258.0 | 85914 | 0.5478 | 0.865 |
|
312 |
+
| 0.3298 | 259.0 | 86247 | 0.5483 | 0.8639 |
|
313 |
+
| 0.4112 | 260.0 | 86580 | 0.5491 | 0.8637 |
|
314 |
+
| 0.3627 | 261.0 | 86913 | 0.5482 | 0.8652 |
|
315 |
+
| 0.2939 | 262.0 | 87246 | 0.5480 | 0.8649 |
|
316 |
+
| 0.2827 | 263.0 | 87579 | 0.5501 | 0.8648 |
|
317 |
+
| 0.3001 | 264.0 | 87912 | 0.5491 | 0.8659 |
|
318 |
+
| 0.3106 | 265.0 | 88245 | 0.5486 | 0.8662 |
|
319 |
+
| 0.3416 | 266.0 | 88578 | 0.5509 | 0.8641 |
|
320 |
+
| 0.3277 | 267.0 | 88911 | 0.5526 | 0.8643 |
|
321 |
+
| 0.3304 | 268.0 | 89244 | 0.5483 | 0.8645 |
|
322 |
+
| 0.2967 | 269.0 | 89577 | 0.5485 | 0.8642 |
|
323 |
+
| 0.2956 | 270.0 | 89910 | 0.5506 | 0.8638 |
|
324 |
+
| 0.335 | 271.0 | 90243 | 0.5497 | 0.8636 |
|
325 |
+
| 0.3032 | 272.0 | 90576 | 0.5494 | 0.8642 |
|
326 |
+
| 0.2757 | 273.0 | 90909 | 0.5511 | 0.8635 |
|
327 |
+
| 0.372 | 274.0 | 91242 | 0.5519 | 0.8633 |
|
328 |
+
| 0.3262 | 275.0 | 91575 | 0.5502 | 0.8641 |
|
329 |
+
| 0.2771 | 276.0 | 91908 | 0.5511 | 0.8629 |
|
330 |
+
| 0.2907 | 277.0 | 92241 | 0.5512 | 0.8627 |
|
331 |
+
| 0.3239 | 278.0 | 92574 | 0.5513 | 0.8633 |
|
332 |
+
| 0.2725 | 279.0 | 92907 | 0.5492 | 0.8638 |
|
333 |
+
| 0.3243 | 280.0 | 93240 | 0.5505 | 0.8639 |
|
334 |
+
| 0.3407 | 281.0 | 93573 | 0.5508 | 0.8636 |
|
335 |
+
| 0.3188 | 282.0 | 93906 | 0.5515 | 0.8644 |
|
336 |
+
| 0.3627 | 283.0 | 94239 | 0.5528 | 0.8639 |
|
337 |
+
| 0.2879 | 284.0 | 94572 | 0.5518 | 0.8645 |
|
338 |
+
| 0.288 | 285.0 | 94905 | 0.5524 | 0.8633 |
|
339 |
+
| 0.3104 | 286.0 | 95238 | 0.5516 | 0.8645 |
|
340 |
+
| 0.2963 | 287.0 | 95571 | 0.5509 | 0.8647 |
|
341 |
+
| 0.348 | 288.0 | 95904 | 0.5511 | 0.8647 |
|
342 |
+
| 0.3232 | 289.0 | 96237 | 0.5504 | 0.8642 |
|
343 |
+
| 0.286 | 290.0 | 96570 | 0.5499 | 0.8644 |
|
344 |
+
| 0.2953 | 291.0 | 96903 | 0.5504 | 0.8638 |
|
345 |
+
| 0.3371 | 292.0 | 97236 | 0.5512 | 0.8645 |
|
346 |
+
| 0.3631 | 293.0 | 97569 | 0.5504 | 0.8646 |
|
347 |
+
| 0.3439 | 294.0 | 97902 | 0.5496 | 0.8648 |
|
348 |
+
| 0.3277 | 295.0 | 98235 | 0.5495 | 0.8648 |
|
349 |
+
| 0.3115 | 296.0 | 98568 | 0.5503 | 0.8648 |
|
350 |
+
| 0.3103 | 297.0 | 98901 | 0.5504 | 0.8643 |
|
351 |
+
| 0.2616 | 298.0 | 99234 | 0.5508 | 0.8648 |
|
352 |
+
| 0.3072 | 299.0 | 99567 | 0.5505 | 0.8646 |
|
353 |
+
| 0.3333 | 300.0 | 99900 | 0.5505 | 0.8646 |
|
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": 0.9957411764705882,
|
3 |
+
"dr_loss": 0.02664465270936489,
|
4 |
+
"dr_runtime": 49.1804,
|
5 |
+
"dr_samples_per_second": 864.166,
|
6 |
+
"dr_steps_per_second": 3.396,
|
7 |
+
"epoch": 300.0,
|
8 |
+
"test_accuracy": 0.8714,
|
9 |
+
"test_loss": 0.47406187653541565,
|
10 |
+
"test_runtime": 12.8301,
|
11 |
+
"test_samples_per_second": 779.417,
|
12 |
+
"test_steps_per_second": 3.118,
|
13 |
+
"train_loss": 0.4971393480458417,
|
14 |
+
"train_runtime": 46729.5214,
|
15 |
+
"train_samples_per_second": 272.847,
|
16 |
+
"train_steps_per_second": 2.138
|
17 |
+
}
|
checkpoint-30969/config.json
ADDED
@@ -0,0 +1,258 @@
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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 |
+
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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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|
23 |
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|
24 |
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|
25 |
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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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|
33 |
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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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|
46 |
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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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|
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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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|
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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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|
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|
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|
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|
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|
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|
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"96": "willow_tree",
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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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|
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"problem_type": "single_label_classification",
|
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|
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"stage_names": [
|
248 |
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|
249 |
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|
250 |
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|
251 |
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|
252 |
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|
253 |
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],
|
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|
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|
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"use_absolute_embeddings": false,
|
257 |
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"window_size": 7
|
258 |
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dr_results.json
ADDED
@@ -0,0 +1,8 @@
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|
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|
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"dr_steps_per_second": 3.396,
|
7 |
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"epoch": 300.0
|
8 |
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}
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model.safetensors
ADDED
@@ -0,0 +1,3 @@
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version https://git-lfs.github.com/spec/v1
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size 110644312
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preprocessor_config.json
ADDED
@@ -0,0 +1,36 @@
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|
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|
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{
|
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"_valid_processor_keys": [
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3 |
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4 |
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|
5 |
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|
6 |
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|
7 |
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"do_rescale",
|
8 |
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"rescale_factor",
|
9 |
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"do_normalize",
|
10 |
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"image_mean",
|
11 |
+
"image_std",
|
12 |
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"return_tensors",
|
13 |
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"data_format",
|
14 |
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"input_data_format"
|
15 |
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],
|
16 |
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|
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18 |
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"do_resize": true,
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],
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"rescale_factor": 0.00392156862745098,
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"size": {
|
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|
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35 |
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}
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36 |
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test_results.json
ADDED
@@ -0,0 +1,8 @@
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train_results.json
ADDED
@@ -0,0 +1,7 @@
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trainer_state.json
ADDED
The diff for this file is too large to render.
See raw diff
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training_args.bin
ADDED
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