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README.md ADDED
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+ ---
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+ license: apache-2.0
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+ base_model: microsoft/swin-base-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-base
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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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+
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+ # swin-base
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+
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+ This model is a fine-tuned version of [microsoft/swin-base-patch4-window7-224](https://huggingface.co/microsoft/swin-base-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: 0.3503
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+ - Accuracy: 0.9226
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+
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+ ## Model description
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+
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+ More information needed
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+
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+ ## Intended uses & limitations
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+
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+ More information needed
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+
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+ ## Training and evaluation data
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+
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+ More information needed
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+
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+ ## Training procedure
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+
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+ ### Training hyperparameters
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+
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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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+
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+ ### Training results
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+
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+ | Training Loss | Epoch | Step | Validation Loss | Accuracy |
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+ |:-------------:|:-----:|:-----:|:---------------:|:--------:|
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+ | 1.4475 | 1.0 | 333 | 0.8145 | 0.8024 |
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+ | 1.1153 | 2.0 | 666 | 0.4367 | 0.8751 |
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+ | 0.9219 | 3.0 | 999 | 0.3546 | 0.8946 |
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+ | 0.8802 | 4.0 | 1332 | 0.3216 | 0.9027 |
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+ | 0.7332 | 5.0 | 1665 | 0.3025 | 0.9069 |
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+ | 0.6719 | 6.0 | 1998 | 0.2940 | 0.9098 |
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+ | 0.6996 | 7.0 | 2331 | 0.2785 | 0.9141 |
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+ | 0.7023 | 8.0 | 2664 | 0.2729 | 0.9165 |
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+ | 0.6376 | 9.0 | 2997 | 0.2657 | 0.9194 |
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+ | 0.571 | 10.0 | 3330 | 0.2617 | 0.9209 |
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+ | 0.6006 | 11.0 | 3663 | 0.2636 | 0.9215 |
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+ | 0.5471 | 12.0 | 3996 | 0.2517 | 0.9239 |
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+ | 0.6324 | 13.0 | 4329 | 0.2520 | 0.9226 |
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+ | 0.56 | 14.0 | 4662 | 0.2530 | 0.924 |
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+ | 0.5821 | 15.0 | 4995 | 0.2569 | 0.9217 |
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+ | 0.5203 | 16.0 | 5328 | 0.2476 | 0.9278 |
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+ | 0.5387 | 17.0 | 5661 | 0.2518 | 0.9264 |
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+ | 0.4921 | 18.0 | 5994 | 0.2475 | 0.9282 |
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+ | 0.413 | 19.0 | 6327 | 0.2516 | 0.9271 |
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+ | 0.4612 | 20.0 | 6660 | 0.2538 | 0.9242 |
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+ | 0.4903 | 21.0 | 6993 | 0.2556 | 0.9262 |
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+ | 0.4953 | 22.0 | 7326 | 0.2501 | 0.9271 |
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+ | 0.4922 | 23.0 | 7659 | 0.2486 | 0.9277 |
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+ | 0.4603 | 24.0 | 7992 | 0.2550 | 0.9234 |
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+ | 0.4405 | 25.0 | 8325 | 0.2476 | 0.9285 |
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+ | 0.4867 | 26.0 | 8658 | 0.2482 | 0.9295 |
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+ | 0.4414 | 27.0 | 8991 | 0.2540 | 0.9267 |
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+ | 0.4574 | 28.0 | 9324 | 0.2494 | 0.9287 |
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+ | 0.4109 | 29.0 | 9657 | 0.2533 | 0.928 |
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+ | 0.4433 | 30.0 | 9990 | 0.2571 | 0.9258 |
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+ | 0.4034 | 31.0 | 10323 | 0.2543 | 0.9265 |
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+ | 0.4203 | 32.0 | 10656 | 0.2587 | 0.9286 |
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+ | 0.3942 | 33.0 | 10989 | 0.2555 | 0.927 |
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+ | 0.3991 | 34.0 | 11322 | 0.2564 | 0.9271 |
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+ | 0.4252 | 35.0 | 11655 | 0.2603 | 0.925 |
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+ | 0.4393 | 36.0 | 11988 | 0.2574 | 0.9288 |
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+ | 0.3949 | 37.0 | 12321 | 0.2638 | 0.9279 |
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+ | 0.4458 | 38.0 | 12654 | 0.2582 | 0.9281 |
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+ | 0.3999 | 39.0 | 12987 | 0.2581 | 0.928 |
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+ | 0.3887 | 40.0 | 13320 | 0.2575 | 0.9301 |
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+ | 0.4101 | 41.0 | 13653 | 0.2620 | 0.9278 |
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+ | 0.3987 | 42.0 | 13986 | 0.2627 | 0.928 |
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+ | 0.3514 | 43.0 | 14319 | 0.2660 | 0.9287 |
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+ | 0.3916 | 44.0 | 14652 | 0.2670 | 0.9287 |
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+ | 0.3798 | 45.0 | 14985 | 0.2696 | 0.9272 |
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+ | 0.3352 | 46.0 | 15318 | 0.2726 | 0.9264 |
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+ | 0.3703 | 47.0 | 15651 | 0.2781 | 0.926 |
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+ | 0.3596 | 48.0 | 15984 | 0.2747 | 0.9274 |
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+ | 0.385 | 49.0 | 16317 | 0.2769 | 0.9257 |
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+ | 0.3716 | 50.0 | 16650 | 0.2769 | 0.9268 |
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+ | 0.3305 | 51.0 | 16983 | 0.2756 | 0.9257 |
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+ | 0.354 | 52.0 | 17316 | 0.2759 | 0.927 |
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+ | 0.3543 | 53.0 | 17649 | 0.2825 | 0.927 |
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+ | 0.3333 | 54.0 | 17982 | 0.2766 | 0.9277 |
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+ | 0.3695 | 55.0 | 18315 | 0.2737 | 0.9293 |
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+ | 0.3945 | 56.0 | 18648 | 0.2760 | 0.9282 |
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+ | 0.3315 | 57.0 | 18981 | 0.2749 | 0.9288 |
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+ | 0.3012 | 58.0 | 19314 | 0.2747 | 0.9283 |
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+ | 0.3261 | 59.0 | 19647 | 0.2812 | 0.9283 |
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+ | 0.2817 | 60.0 | 19980 | 0.2754 | 0.9285 |
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+ | 0.3039 | 61.0 | 20313 | 0.2819 | 0.929 |
115
+ | 0.306 | 62.0 | 20646 | 0.2816 | 0.9293 |
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+ | 0.3166 | 63.0 | 20979 | 0.2839 | 0.9265 |
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+ | 0.3471 | 64.0 | 21312 | 0.2799 | 0.9289 |
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+ | 0.2996 | 65.0 | 21645 | 0.2848 | 0.9259 |
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+ | 0.3252 | 66.0 | 21978 | 0.2840 | 0.9278 |
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+ | 0.324 | 67.0 | 22311 | 0.2853 | 0.9273 |
121
+ | 0.2911 | 68.0 | 22644 | 0.2839 | 0.9282 |
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+ | 0.2852 | 69.0 | 22977 | 0.2892 | 0.927 |
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+ | 0.3154 | 70.0 | 23310 | 0.2902 | 0.928 |
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+ | 0.3402 | 71.0 | 23643 | 0.2874 | 0.9294 |
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+ | 0.3122 | 72.0 | 23976 | 0.2909 | 0.9258 |
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+ | 0.3276 | 73.0 | 24309 | 0.2856 | 0.9281 |
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+ | 0.291 | 74.0 | 24642 | 0.2895 | 0.9257 |
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+ | 0.2939 | 75.0 | 24975 | 0.2922 | 0.927 |
129
+ | 0.2853 | 76.0 | 25308 | 0.2956 | 0.9245 |
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+ | 0.2863 | 77.0 | 25641 | 0.2900 | 0.9281 |
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+ | 0.3417 | 78.0 | 25974 | 0.2902 | 0.927 |
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+ | 0.3053 | 79.0 | 26307 | 0.2925 | 0.9261 |
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+ | 0.2954 | 80.0 | 26640 | 0.2942 | 0.9257 |
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+ | 0.2539 | 81.0 | 26973 | 0.3004 | 0.9252 |
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+ | 0.2728 | 82.0 | 27306 | 0.2943 | 0.9252 |
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+ | 0.3537 | 83.0 | 27639 | 0.3002 | 0.9243 |
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+ | 0.2917 | 84.0 | 27972 | 0.2907 | 0.9259 |
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+ | 0.26 | 85.0 | 28305 | 0.2947 | 0.9265 |
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+ | 0.2604 | 86.0 | 28638 | 0.3004 | 0.9261 |
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+ | 0.3287 | 87.0 | 28971 | 0.3003 | 0.9266 |
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+ | 0.3101 | 88.0 | 29304 | 0.3001 | 0.9277 |
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+ | 0.3029 | 89.0 | 29637 | 0.2987 | 0.9275 |
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+ | 0.2824 | 90.0 | 29970 | 0.3001 | 0.9266 |
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+ | 0.2771 | 91.0 | 30303 | 0.3026 | 0.9261 |
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+ | 0.2428 | 92.0 | 30636 | 0.3052 | 0.9256 |
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+ | 0.2784 | 93.0 | 30969 | 0.3012 | 0.9273 |
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+ | 0.2397 | 94.0 | 31302 | 0.2990 | 0.9275 |
148
+ | 0.2789 | 95.0 | 31635 | 0.3009 | 0.9257 |
149
+ | 0.3029 | 96.0 | 31968 | 0.3023 | 0.9257 |
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+ | 0.2966 | 97.0 | 32301 | 0.3007 | 0.9273 |
151
+ | 0.3114 | 98.0 | 32634 | 0.2945 | 0.9277 |
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+ | 0.2892 | 99.0 | 32967 | 0.3028 | 0.9257 |
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+ | 0.248 | 100.0 | 33300 | 0.2971 | 0.9284 |
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+ | 0.3176 | 101.0 | 33633 | 0.3050 | 0.9264 |
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+ | 0.3074 | 102.0 | 33966 | 0.3066 | 0.929 |
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+ | 0.2901 | 103.0 | 34299 | 0.3037 | 0.9252 |
157
+ | 0.3027 | 104.0 | 34632 | 0.3039 | 0.9245 |
158
+ | 0.3048 | 105.0 | 34965 | 0.2983 | 0.9287 |
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+ | 0.2573 | 106.0 | 35298 | 0.3004 | 0.928 |
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+ | 0.2739 | 107.0 | 35631 | 0.3039 | 0.9263 |
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+ | 0.2491 | 108.0 | 35964 | 0.3016 | 0.9277 |
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+ | 0.2491 | 109.0 | 36297 | 0.3025 | 0.9272 |
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+ | 0.291 | 110.0 | 36630 | 0.3018 | 0.9257 |
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+ | 0.264 | 111.0 | 36963 | 0.3096 | 0.9255 |
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+ | 0.2931 | 112.0 | 37296 | 0.3093 | 0.9282 |
166
+ | 0.2407 | 113.0 | 37629 | 0.3106 | 0.927 |
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+ | 0.2583 | 114.0 | 37962 | 0.3116 | 0.9252 |
168
+ | 0.2628 | 115.0 | 38295 | 0.3068 | 0.9254 |
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+ | 0.2806 | 116.0 | 38628 | 0.3114 | 0.9257 |
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+ | 0.2441 | 117.0 | 38961 | 0.3072 | 0.9251 |
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+ | 0.2204 | 118.0 | 39294 | 0.3125 | 0.9258 |
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+ | 0.2819 | 119.0 | 39627 | 0.3178 | 0.9237 |
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+ | 0.2466 | 120.0 | 39960 | 0.3189 | 0.9248 |
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+ | 0.2284 | 121.0 | 40293 | 0.3107 | 0.9267 |
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+ | 0.217 | 122.0 | 40626 | 0.3138 | 0.9263 |
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+ | 0.2405 | 123.0 | 40959 | 0.3088 | 0.9275 |
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+ | 0.2972 | 124.0 | 41292 | 0.3067 | 0.9255 |
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+ | 0.246 | 125.0 | 41625 | 0.3120 | 0.9252 |
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+ | 0.273 | 126.0 | 41958 | 0.3165 | 0.9247 |
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+ | 0.2837 | 127.0 | 42291 | 0.3159 | 0.925 |
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+ | 0.2741 | 128.0 | 42624 | 0.3169 | 0.9256 |
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+ | 0.26 | 129.0 | 42957 | 0.3156 | 0.9251 |
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+ | 0.2739 | 130.0 | 43290 | 0.3166 | 0.9257 |
184
+ | 0.3104 | 131.0 | 43623 | 0.3238 | 0.9237 |
185
+ | 0.264 | 132.0 | 43956 | 0.3164 | 0.9257 |
186
+ | 0.2485 | 133.0 | 44289 | 0.3236 | 0.9232 |
187
+ | 0.2637 | 134.0 | 44622 | 0.3232 | 0.9249 |
188
+ | 0.2211 | 135.0 | 44955 | 0.3191 | 0.9256 |
189
+ | 0.2498 | 136.0 | 45288 | 0.3190 | 0.9251 |
190
+ | 0.2331 | 137.0 | 45621 | 0.3226 | 0.9245 |
191
+ | 0.2247 | 138.0 | 45954 | 0.3241 | 0.9228 |
192
+ | 0.2555 | 139.0 | 46287 | 0.3269 | 0.9224 |
193
+ | 0.2255 | 140.0 | 46620 | 0.3229 | 0.9247 |
194
+ | 0.2909 | 141.0 | 46953 | 0.3212 | 0.9256 |
195
+ | 0.2902 | 142.0 | 47286 | 0.3215 | 0.9231 |
196
+ | 0.2384 | 143.0 | 47619 | 0.3296 | 0.9233 |
197
+ | 0.2538 | 144.0 | 47952 | 0.3270 | 0.9255 |
198
+ | 0.2174 | 145.0 | 48285 | 0.3265 | 0.9249 |
199
+ | 0.2274 | 146.0 | 48618 | 0.3302 | 0.9235 |
200
+ | 0.2354 | 147.0 | 48951 | 0.3300 | 0.9254 |
201
+ | 0.2555 | 148.0 | 49284 | 0.3265 | 0.9236 |
202
+ | 0.2389 | 149.0 | 49617 | 0.3329 | 0.9235 |
203
+ | 0.2441 | 150.0 | 49950 | 0.3222 | 0.924 |
204
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205
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206
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207
+ | 0.2255 | 154.0 | 51282 | 0.3338 | 0.9257 |
208
+ | 0.2418 | 155.0 | 51615 | 0.3313 | 0.924 |
209
+ | 0.2254 | 156.0 | 51948 | 0.3326 | 0.9245 |
210
+ | 0.2549 | 157.0 | 52281 | 0.3365 | 0.924 |
211
+ | 0.213 | 158.0 | 52614 | 0.3250 | 0.9257 |
212
+ | 0.2178 | 159.0 | 52947 | 0.3259 | 0.9252 |
213
+ | 0.2127 | 160.0 | 53280 | 0.3294 | 0.9241 |
214
+ | 0.2063 | 161.0 | 53613 | 0.3301 | 0.9239 |
215
+ | 0.2401 | 162.0 | 53946 | 0.3306 | 0.9247 |
216
+ | 0.2198 | 163.0 | 54279 | 0.3323 | 0.9226 |
217
+ | 0.2642 | 164.0 | 54612 | 0.3324 | 0.9239 |
218
+ | 0.2477 | 165.0 | 54945 | 0.3314 | 0.9238 |
219
+ | 0.1936 | 166.0 | 55278 | 0.3324 | 0.9233 |
220
+ | 0.2151 | 167.0 | 55611 | 0.3356 | 0.9229 |
221
+ | 0.2049 | 168.0 | 55944 | 0.3355 | 0.9214 |
222
+ | 0.2356 | 169.0 | 56277 | 0.3369 | 0.9226 |
223
+ | 0.2092 | 170.0 | 56610 | 0.3306 | 0.923 |
224
+ | 0.2239 | 171.0 | 56943 | 0.3387 | 0.9237 |
225
+ | 0.2157 | 172.0 | 57276 | 0.3347 | 0.9222 |
226
+ | 0.1877 | 173.0 | 57609 | 0.3423 | 0.9224 |
227
+ | 0.2532 | 174.0 | 57942 | 0.3342 | 0.9231 |
228
+ | 0.2306 | 175.0 | 58275 | 0.3364 | 0.9223 |
229
+ | 0.2247 | 176.0 | 58608 | 0.3376 | 0.9219 |
230
+ | 0.2548 | 177.0 | 58941 | 0.3390 | 0.9217 |
231
+ | 0.1797 | 178.0 | 59274 | 0.3433 | 0.9214 |
232
+ | 0.235 | 179.0 | 59607 | 0.3388 | 0.9206 |
233
+ | 0.1707 | 180.0 | 59940 | 0.3376 | 0.9209 |
234
+ | 0.195 | 181.0 | 60273 | 0.3384 | 0.9224 |
235
+ | 0.2526 | 182.0 | 60606 | 0.3418 | 0.9215 |
236
+ | 0.2041 | 183.0 | 60939 | 0.3373 | 0.921 |
237
+ | 0.2251 | 184.0 | 61272 | 0.3409 | 0.922 |
238
+ | 0.2562 | 185.0 | 61605 | 0.3356 | 0.9239 |
239
+ | 0.2225 | 186.0 | 61938 | 0.3390 | 0.9228 |
240
+ | 0.1772 | 187.0 | 62271 | 0.3390 | 0.9219 |
241
+ | 0.2343 | 188.0 | 62604 | 0.3419 | 0.9219 |
242
+ | 0.2086 | 189.0 | 62937 | 0.3400 | 0.9222 |
243
+ | 0.3153 | 190.0 | 63270 | 0.3436 | 0.9203 |
244
+ | 0.2632 | 191.0 | 63603 | 0.3436 | 0.9226 |
245
+ | 0.2191 | 192.0 | 63936 | 0.3463 | 0.9218 |
246
+ | 0.1892 | 193.0 | 64269 | 0.3455 | 0.9226 |
247
+ | 0.2246 | 194.0 | 64602 | 0.3454 | 0.9215 |
248
+ | 0.2485 | 195.0 | 64935 | 0.3412 | 0.9224 |
249
+ | 0.2055 | 196.0 | 65268 | 0.3426 | 0.9209 |
250
+ | 0.2087 | 197.0 | 65601 | 0.3456 | 0.92 |
251
+ | 0.235 | 198.0 | 65934 | 0.3437 | 0.9218 |
252
+ | 0.2093 | 199.0 | 66267 | 0.3425 | 0.9231 |
253
+ | 0.1899 | 200.0 | 66600 | 0.3433 | 0.9229 |
254
+ | 0.231 | 201.0 | 66933 | 0.3435 | 0.9218 |
255
+ | 0.2002 | 202.0 | 67266 | 0.3430 | 0.9219 |
256
+ | 0.2062 | 203.0 | 67599 | 0.3435 | 0.921 |
257
+ | 0.2138 | 204.0 | 67932 | 0.3486 | 0.9214 |
258
+ | 0.1742 | 205.0 | 68265 | 0.3454 | 0.9224 |
259
+ | 0.2116 | 206.0 | 68598 | 0.3459 | 0.9212 |
260
+ | 0.1906 | 207.0 | 68931 | 0.3475 | 0.9202 |
261
+ | 0.2253 | 208.0 | 69264 | 0.3447 | 0.9227 |
262
+ | 0.1944 | 209.0 | 69597 | 0.3476 | 0.9209 |
263
+ | 0.2114 | 210.0 | 69930 | 0.3473 | 0.9211 |
264
+ | 0.1959 | 211.0 | 70263 | 0.3463 | 0.9213 |
265
+ | 0.1967 | 212.0 | 70596 | 0.3454 | 0.9235 |
266
+ | 0.221 | 213.0 | 70929 | 0.3500 | 0.9239 |
267
+ | 0.194 | 214.0 | 71262 | 0.3468 | 0.9231 |
268
+ | 0.2055 | 215.0 | 71595 | 0.3455 | 0.9221 |
269
+ | 0.216 | 216.0 | 71928 | 0.3482 | 0.9215 |
270
+ | 0.1887 | 217.0 | 72261 | 0.3495 | 0.9218 |
271
+ | 0.2043 | 218.0 | 72594 | 0.3458 | 0.9237 |
272
+ | 0.2022 | 219.0 | 72927 | 0.3428 | 0.9224 |
273
+ | 0.1834 | 220.0 | 73260 | 0.3419 | 0.9222 |
274
+ | 0.1835 | 221.0 | 73593 | 0.3447 | 0.9231 |
275
+ | 0.2194 | 222.0 | 73926 | 0.3472 | 0.9218 |
276
+ | 0.1775 | 223.0 | 74259 | 0.3466 | 0.922 |
277
+ | 0.1781 | 224.0 | 74592 | 0.3505 | 0.9233 |
278
+ | 0.2001 | 225.0 | 74925 | 0.3477 | 0.9226 |
279
+ | 0.185 | 226.0 | 75258 | 0.3469 | 0.9229 |
280
+ | 0.2079 | 227.0 | 75591 | 0.3465 | 0.9228 |
281
+ | 0.1709 | 228.0 | 75924 | 0.3485 | 0.9217 |
282
+ | 0.2041 | 229.0 | 76257 | 0.3476 | 0.9213 |
283
+ | 0.1793 | 230.0 | 76590 | 0.3505 | 0.9222 |
284
+ | 0.193 | 231.0 | 76923 | 0.3483 | 0.9234 |
285
+ | 0.2192 | 232.0 | 77256 | 0.3490 | 0.9213 |
286
+ | 0.2017 | 233.0 | 77589 | 0.3481 | 0.9219 |
287
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288
+ | 0.1682 | 235.0 | 78255 | 0.3476 | 0.9214 |
289
+ | 0.1702 | 236.0 | 78588 | 0.3474 | 0.922 |
290
+ | 0.2109 | 237.0 | 78921 | 0.3499 | 0.9221 |
291
+ | 0.1768 | 238.0 | 79254 | 0.3459 | 0.9211 |
292
+ | 0.1731 | 239.0 | 79587 | 0.3480 | 0.9222 |
293
+ | 0.1834 | 240.0 | 79920 | 0.3479 | 0.9216 |
294
+ | 0.2182 | 241.0 | 80253 | 0.3484 | 0.9218 |
295
+ | 0.2084 | 242.0 | 80586 | 0.3515 | 0.9222 |
296
+ | 0.2006 | 243.0 | 80919 | 0.3499 | 0.9223 |
297
+ | 0.221 | 244.0 | 81252 | 0.3502 | 0.9223 |
298
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+
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+
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+ ### Framework versions
357
+
358
+ - Transformers 4.39.3
359
+ - Pytorch 2.2.2+cu118
360
+ - Datasets 2.18.0
361
+ - Tokenizers 0.15.2
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