--- license: apache-2.0 base_model: microsoft/swinv2-tiny-patch4-window8-256 tags: - generated_from_trainer metrics: - accuracy model-index: - name: swinv2-tiny-patch4-window8-256-ve-UH results: [] --- # swinv2-tiny-patch4-window8-256-ve-UH This model is a fine-tuned version of [microsoft/swinv2-tiny-patch4-window8-256](https://huggingface.co/microsoft/swinv2-tiny-patch4-window8-256) on an unknown dataset. It achieves the following results on the evaluation set: - Loss: 1.0154 - Accuracy: 0.7115 ## 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: 4e-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: 80 ### Training results | Training Loss | Epoch | Step | Validation Loss | Accuracy | |:-------------:|:-----:|:----:|:---------------:|:--------:| | No log | 1.0 | 2 | 1.6092 | 0.4038 | | No log | 2.0 | 4 | 1.6075 | 0.4231 | | No log | 3.0 | 6 | 1.6037 | 0.4038 | | No log | 4.0 | 8 | 1.5960 | 0.4038 | | 1.6041 | 5.0 | 10 | 1.5820 | 0.4038 | | 1.6041 | 6.0 | 12 | 1.5578 | 0.4038 | | 1.6041 | 7.0 | 14 | 1.5218 | 0.4038 | | 1.6041 | 8.0 | 16 | 1.4849 | 0.4038 | | 1.6041 | 9.0 | 18 | 1.4459 | 0.4038 | | 1.4962 | 10.0 | 20 | 1.4109 | 0.4038 | | 1.4962 | 11.0 | 22 | 1.3941 | 0.4038 | | 1.4962 | 12.0 | 24 | 1.3865 | 0.4038 | | 1.4962 | 13.0 | 26 | 1.3754 | 0.4038 | | 1.4962 | 14.0 | 28 | 1.3655 | 0.4038 | | 1.3392 | 15.0 | 30 | 1.3794 | 0.4038 | | 1.3392 | 16.0 | 32 | 1.3800 | 0.4038 | | 1.3392 | 17.0 | 34 | 1.3404 | 0.4038 | | 1.3392 | 18.0 | 36 | 1.3337 | 0.4038 | | 1.3392 | 19.0 | 38 | 1.3602 | 0.4038 | | 1.2738 | 20.0 | 40 | 1.3384 | 0.4038 | | 1.2738 | 21.0 | 42 | 1.3248 | 0.4038 | | 1.2738 | 22.0 | 44 | 1.2693 | 0.4038 | | 1.2738 | 23.0 | 46 | 1.2395 | 0.4038 | | 1.2738 | 24.0 | 48 | 1.2427 | 0.4038 | | 1.2283 | 25.0 | 50 | 1.2885 | 0.4038 | | 1.2283 | 26.0 | 52 | 1.2916 | 0.4038 | | 1.2283 | 27.0 | 54 | 1.2353 | 0.4038 | | 1.2283 | 28.0 | 56 | 1.2032 | 0.4038 | | 1.2283 | 29.0 | 58 | 1.2100 | 0.5577 | | 1.1804 | 30.0 | 60 | 1.2110 | 0.6154 | | 1.1804 | 31.0 | 62 | 1.1710 | 0.6346 | | 1.1804 | 32.0 | 64 | 1.1323 | 0.6154 | | 1.1804 | 33.0 | 66 | 1.1083 | 0.5962 | | 1.1804 | 34.0 | 68 | 1.0935 | 0.5962 | | 1.0925 | 35.0 | 70 | 1.0853 | 0.6346 | | 1.0925 | 36.0 | 72 | 1.0622 | 0.6731 | | 1.0925 | 37.0 | 74 | 1.0154 | 0.7115 | | 1.0925 | 38.0 | 76 | 0.9901 | 0.7115 | | 1.0925 | 39.0 | 78 | 0.9925 | 0.6923 | | 0.9981 | 40.0 | 80 | 0.9865 | 0.6731 | | 0.9981 | 41.0 | 82 | 0.9540 | 0.6731 | | 0.9981 | 42.0 | 84 | 0.9316 | 0.7115 | | 0.9981 | 43.0 | 86 | 0.9304 | 0.7115 | | 0.9981 | 44.0 | 88 | 0.9246 | 0.6923 | | 0.9102 | 45.0 | 90 | 0.8785 | 0.7115 | | 0.9102 | 46.0 | 92 | 0.8422 | 0.7115 | | 0.9102 | 47.0 | 94 | 0.8381 | 0.7115 | | 0.9102 | 48.0 | 96 | 0.8359 | 0.7115 | | 0.9102 | 49.0 | 98 | 0.8444 | 0.7115 | | 0.8496 | 50.0 | 100 | 0.8287 | 0.6731 | | 0.8496 | 51.0 | 102 | 0.7973 | 0.6923 | | 0.8496 | 52.0 | 104 | 0.7799 | 0.6923 | | 0.8496 | 53.0 | 106 | 0.7780 | 0.6923 | | 0.8496 | 54.0 | 108 | 0.7820 | 0.7115 | | 0.7808 | 55.0 | 110 | 0.7896 | 0.7115 | | 0.7808 | 56.0 | 112 | 0.7737 | 0.6923 | | 0.7808 | 57.0 | 114 | 0.7631 | 0.6731 | | 0.7808 | 58.0 | 116 | 0.7635 | 0.6538 | | 0.7808 | 59.0 | 118 | 0.7779 | 0.6538 | | 0.757 | 60.0 | 120 | 0.7990 | 0.6731 | | 0.757 | 61.0 | 122 | 0.8222 | 0.6538 | | 0.757 | 62.0 | 124 | 0.8204 | 0.6538 | | 0.757 | 63.0 | 126 | 0.7964 | 0.6731 | | 0.757 | 64.0 | 128 | 0.7818 | 0.6538 | | 0.6919 | 65.0 | 130 | 0.7796 | 0.6346 | | 0.6919 | 66.0 | 132 | 0.7831 | 0.6346 | | 0.6919 | 67.0 | 134 | 0.7867 | 0.6346 | | 0.6919 | 68.0 | 136 | 0.7856 | 0.6346 | | 0.6919 | 69.0 | 138 | 0.7793 | 0.6538 | | 0.6722 | 70.0 | 140 | 0.7736 | 0.6538 | | 0.6722 | 71.0 | 142 | 0.7682 | 0.6538 | | 0.6722 | 72.0 | 144 | 0.7681 | 0.6538 | | 0.6722 | 73.0 | 146 | 0.7672 | 0.6538 | | 0.6722 | 74.0 | 148 | 0.7655 | 0.6538 | | 0.6642 | 75.0 | 150 | 0.7645 | 0.6538 | | 0.6642 | 76.0 | 152 | 0.7658 | 0.6538 | | 0.6642 | 77.0 | 154 | 0.7677 | 0.6538 | | 0.6642 | 78.0 | 156 | 0.7683 | 0.6538 | | 0.6642 | 79.0 | 158 | 0.7684 | 0.6538 | | 0.6491 | 80.0 | 160 | 0.7686 | 0.6538 | ### Framework versions - Transformers 4.36.2 - Pytorch 2.1.2+cu118 - Datasets 2.16.1 - Tokenizers 0.15.0