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--- |
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license: apache-2.0 |
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base_model: microsoft/swinv2-large-patch4-window12-192-22k |
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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: 0.50-200Train-100Test-swinv2-large |
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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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# 0.50-200Train-100Test-swinv2-large |
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This model is a fine-tuned version of [microsoft/swinv2-large-patch4-window12-192-22k](https://huggingface.co/microsoft/swinv2-large-patch4-window12-192-22k) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.7669 |
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- Accuracy: 0.8233 |
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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: 16 |
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- eval_batch_size: 16 |
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- seed: 42 |
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- gradient_accumulation_steps: 4 |
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- total_train_batch_size: 64 |
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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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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Accuracy | |
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|:-------------:|:-------:|:----:|:---------------:|:--------:| |
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| 2.4602 | 0.9825 | 14 | 1.7254 | 0.4318 | |
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| 1.7105 | 1.9649 | 28 | 0.8579 | 0.7047 | |
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| 0.6096 | 2.9474 | 42 | 0.7268 | 0.7562 | |
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| 0.3983 | 4.0 | 57 | 0.6706 | 0.7852 | |
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| 0.1083 | 4.9825 | 71 | 0.7051 | 0.7897 | |
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| 0.0952 | 5.9649 | 85 | 0.8423 | 0.7696 | |
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| 0.1106 | 6.9474 | 99 | 0.6406 | 0.8121 | |
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| 0.0357 | 8.0 | 114 | 0.8410 | 0.7897 | |
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| 0.0522 | 8.9825 | 128 | 0.8197 | 0.7987 | |
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| 0.0274 | 9.9649 | 142 | 0.8788 | 0.8098 | |
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| 0.0203 | 10.9474 | 156 | 0.8037 | 0.8233 | |
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| 0.0361 | 12.0 | 171 | 0.7932 | 0.8076 | |
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| 0.0204 | 12.9825 | 185 | 0.7503 | 0.8210 | |
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| 0.0165 | 13.9649 | 199 | 0.7416 | 0.8098 | |
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| 0.0129 | 14.9474 | 213 | 0.8474 | 0.8277 | |
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| 0.0062 | 16.0 | 228 | 0.7788 | 0.8233 | |
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| 0.0028 | 16.9825 | 242 | 0.7687 | 0.8255 | |
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| 0.001 | 17.9649 | 256 | 0.7730 | 0.8255 | |
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| 0.0019 | 18.9474 | 270 | 0.7681 | 0.8255 | |
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| 0.0014 | 19.6491 | 280 | 0.7669 | 0.8233 | |
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### Framework versions |
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- Transformers 4.41.2 |
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- Pytorch 2.1.2 |
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- Datasets 2.19.2 |
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- Tokenizers 0.19.1 |
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