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--- |
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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: image_classification |
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results: [] |
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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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# image_classification |
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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: 0.0002 |
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- Accuracy: 1.0 |
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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: 5e-05 |
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- train_batch_size: 32 |
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- eval_batch_size: 32 |
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- seed: 42 |
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- gradient_accumulation_steps: 4 |
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- total_train_batch_size: 128 |
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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: 50 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Accuracy | |
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|:-------------:|:-----:|:----:|:---------------:|:--------:| |
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| No log | 1.0 | 1 | 1.0978 | 0.5 | |
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| No log | 2.0 | 2 | 1.0528 | 0.5833 | |
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| No log | 3.0 | 3 | 0.9606 | 0.625 | |
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| No log | 4.0 | 4 | 0.8337 | 0.7083 | |
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| No log | 5.0 | 5 | 0.6860 | 0.75 | |
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| No log | 6.0 | 6 | 0.5366 | 0.9167 | |
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| No log | 7.0 | 7 | 0.3971 | 0.9583 | |
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| No log | 8.0 | 8 | 0.2704 | 1.0 | |
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| No log | 9.0 | 9 | 0.1702 | 1.0 | |
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| 0.1887 | 10.0 | 10 | 0.1046 | 1.0 | |
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| 0.1887 | 11.0 | 11 | 0.0633 | 1.0 | |
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| 0.1887 | 12.0 | 12 | 0.0420 | 1.0 | |
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| 0.1887 | 13.0 | 13 | 0.0324 | 1.0 | |
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| 0.1887 | 14.0 | 14 | 0.0298 | 1.0 | |
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| 0.1887 | 15.0 | 15 | 0.0260 | 1.0 | |
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| 0.1887 | 16.0 | 16 | 0.0229 | 1.0 | |
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| 0.1887 | 17.0 | 17 | 0.0180 | 1.0 | |
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| 0.1887 | 18.0 | 18 | 0.0119 | 1.0 | |
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| 0.1887 | 19.0 | 19 | 0.0072 | 1.0 | |
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| 0.0083 | 20.0 | 20 | 0.0045 | 1.0 | |
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| 0.0083 | 21.0 | 21 | 0.0022 | 1.0 | |
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| 0.0083 | 22.0 | 22 | 0.0012 | 1.0 | |
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| 0.0083 | 23.0 | 23 | 0.0007 | 1.0 | |
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| 0.0083 | 24.0 | 24 | 0.0005 | 1.0 | |
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| 0.0083 | 25.0 | 25 | 0.0004 | 1.0 | |
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| 0.0083 | 26.0 | 26 | 0.0003 | 1.0 | |
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| 0.0083 | 27.0 | 27 | 0.0003 | 1.0 | |
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| 0.0083 | 28.0 | 28 | 0.0002 | 1.0 | |
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| 0.0083 | 29.0 | 29 | 0.0002 | 1.0 | |
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| 0.0009 | 30.0 | 30 | 0.0002 | 1.0 | |
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| 0.0009 | 31.0 | 31 | 0.0002 | 1.0 | |
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| 0.0009 | 32.0 | 32 | 0.0002 | 1.0 | |
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| 0.0009 | 33.0 | 33 | 0.0002 | 1.0 | |
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| 0.0009 | 34.0 | 34 | 0.0002 | 1.0 | |
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| 0.0009 | 35.0 | 35 | 0.0002 | 1.0 | |
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| 0.0009 | 36.0 | 36 | 0.0002 | 1.0 | |
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| 0.0009 | 37.0 | 37 | 0.0002 | 1.0 | |
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| 0.0009 | 38.0 | 38 | 0.0002 | 1.0 | |
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| 0.0009 | 39.0 | 39 | 0.0002 | 1.0 | |
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| 0.0003 | 40.0 | 40 | 0.0002 | 1.0 | |
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| 0.0003 | 41.0 | 41 | 0.0002 | 1.0 | |
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| 0.0003 | 42.0 | 42 | 0.0002 | 1.0 | |
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| 0.0003 | 43.0 | 43 | 0.0002 | 1.0 | |
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| 0.0003 | 44.0 | 44 | 0.0002 | 1.0 | |
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| 0.0003 | 45.0 | 45 | 0.0002 | 1.0 | |
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| 0.0003 | 46.0 | 46 | 0.0002 | 1.0 | |
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| 0.0003 | 47.0 | 47 | 0.0002 | 1.0 | |
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| 0.0003 | 48.0 | 48 | 0.0002 | 1.0 | |
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| 0.0003 | 49.0 | 49 | 0.0002 | 1.0 | |
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| 0.0002 | 50.0 | 50 | 0.0002 | 1.0 | |
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### Framework versions |
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- Transformers 4.35.2 |
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- Pytorch 2.1.0+cu121 |
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- Datasets 2.17.1 |
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- Tokenizers 0.15.2 |
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