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README.md ADDED
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+ ---
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+ library_name: transformers
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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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+ - 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-patch4-window7-224_alpha0.7_temp3.0
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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-tiny-patch4-window7-224_alpha0.7_temp3.0
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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 an unknown dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 0.6265
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+ - Accuracy: 0.7836
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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: 5e-05
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+ - train_batch_size: 64
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+ - eval_batch_size: 64
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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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+ - lr_scheduler_warmup_ratio: 0.1
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+ - num_epochs: 20
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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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+ | 1.1461 | 1.0 | 90 | 1.4228 | 0.2816 |
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+ | 1.0312 | 2.0 | 180 | 1.2250 | 0.4318 |
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+ | 0.7723 | 3.0 | 270 | 1.0165 | 0.5652 |
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+ | 0.5804 | 4.0 | 360 | 0.7593 | 0.7085 |
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+ | 0.4243 | 5.0 | 450 | 0.7048 | 0.7540 |
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+ | 0.3253 | 6.0 | 540 | 0.6931 | 0.7609 |
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+ | 0.2822 | 7.0 | 630 | 0.6610 | 0.7638 |
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+ | 0.229 | 8.0 | 720 | 0.6538 | 0.7787 |
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+ | 0.212 | 9.0 | 810 | 0.6767 | 0.7688 |
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+ | 0.1972 | 10.0 | 900 | 0.6680 | 0.7569 |
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+ | 0.174 | 11.0 | 990 | 0.6353 | 0.7757 |
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+ | 0.1637 | 12.0 | 1080 | 0.6389 | 0.7757 |
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+ | 0.1558 | 13.0 | 1170 | 0.6260 | 0.7885 |
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+ | 0.153 | 14.0 | 1260 | 0.6343 | 0.7796 |
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+ | 0.1514 | 15.0 | 1350 | 0.6342 | 0.7767 |
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+ | 0.1419 | 16.0 | 1440 | 0.6450 | 0.7747 |
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+ | 0.1411 | 17.0 | 1530 | 0.6400 | 0.7826 |
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+ | 0.1303 | 18.0 | 1620 | 0.6328 | 0.7787 |
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+ | 0.1316 | 19.0 | 1710 | 0.6287 | 0.7866 |
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+ | 0.1303 | 20.0 | 1800 | 0.6265 | 0.7836 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.45.2
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+ - Pytorch 2.5.0+cu124
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+ - Datasets 3.0.1
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+ - Tokenizers 0.20.1
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