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--- |
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license: apache-2.0 |
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base_model: microsoft/swinv2-base-patch4-window8-256 |
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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: swinv2-base-patch4-window8-256-for-pre_evaluation |
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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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# swinv2-base-patch4-window8-256-for-pre_evaluation |
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This model is a fine-tuned version of [microsoft/swinv2-base-patch4-window8-256](https://huggingface.co/microsoft/swinv2-base-patch4-window8-256) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 1.4873 |
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- Accuracy: 0.4106 |
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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: 30 |
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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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| 1.6064 | 1.0 | 16 | 1.5189 | 0.3073 | |
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| 1.5058 | 2.0 | 32 | 1.5056 | 0.3073 | |
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| 1.5176 | 3.0 | 48 | 1.5176 | 0.2961 | |
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| 1.4883 | 4.0 | 64 | 1.5130 | 0.3073 | |
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| 1.4446 | 5.0 | 80 | 1.4540 | 0.3296 | |
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| 1.4568 | 6.0 | 96 | 1.5154 | 0.3156 | |
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| 1.4106 | 7.0 | 112 | 1.4272 | 0.3883 | |
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| 1.3804 | 8.0 | 128 | 1.4185 | 0.3743 | |
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| 1.3725 | 9.0 | 144 | 1.3943 | 0.3911 | |
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| 1.3441 | 10.0 | 160 | 1.4510 | 0.4022 | |
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| 1.3335 | 11.0 | 176 | 1.4337 | 0.3827 | |
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| 1.3055 | 12.0 | 192 | 1.4633 | 0.3855 | |
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| 1.3303 | 13.0 | 208 | 1.4674 | 0.3883 | |
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| 1.2882 | 14.0 | 224 | 1.4388 | 0.3911 | |
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| 1.2362 | 15.0 | 240 | 1.4676 | 0.3855 | |
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| 1.2572 | 16.0 | 256 | 1.4805 | 0.3799 | |
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| 1.2164 | 17.0 | 272 | 1.4717 | 0.3939 | |
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| 1.221 | 18.0 | 288 | 1.4354 | 0.4078 | |
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| 1.1713 | 19.0 | 304 | 1.4836 | 0.4078 | |
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| 1.18 | 20.0 | 320 | 1.4873 | 0.4106 | |
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| 1.1349 | 21.0 | 336 | 1.4853 | 0.3855 | |
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| 1.1138 | 22.0 | 352 | 1.4927 | 0.3966 | |
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| 1.1402 | 23.0 | 368 | 1.4672 | 0.3994 | |
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| 1.1183 | 24.0 | 384 | 1.5033 | 0.4022 | |
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| 1.0834 | 25.0 | 400 | 1.5448 | 0.3855 | |
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| 1.0515 | 26.0 | 416 | 1.5131 | 0.3939 | |
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| 1.0745 | 27.0 | 432 | 1.5314 | 0.3827 | |
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| 1.0332 | 28.0 | 448 | 1.5474 | 0.3939 | |
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| 1.0679 | 29.0 | 464 | 1.5327 | 0.3855 | |
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| 1.0295 | 30.0 | 480 | 1.5402 | 0.3855 | |
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### Framework versions |
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- Transformers 4.33.1 |
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- Pytorch 2.0.1+cu118 |
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- Datasets 2.14.5 |
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- Tokenizers 0.13.3 |
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