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--- |
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license: apache-2.0 |
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base_model: microsoft/swinv2-base-patch4-window12-192-22k |
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tags: |
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- image-classification |
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- vision |
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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_finetuned_frozen_v5_cont |
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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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# SWIN_finetuned_frozen_v5_cont |
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This model is a fine-tuned version of [microsoft/swinv2-base-patch4-window12-192-22k](https://huggingface.co/microsoft/swinv2-base-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: 2.1793 |
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- Accuracy: 0.7000 |
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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: 0.0004 |
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- train_batch_size: 256 |
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- eval_batch_size: 256 |
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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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- num_epochs: 15.0 |
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### Training results |
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| Training Loss | Epoch | Step | Accuracy | Validation Loss | |
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|:-------------:|:-----:|:-----:|:--------:|:---------------:| |
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| 0.6306 | 1.0 | 2625 | 0.6565 | 1.9169 | |
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| 0.5977 | 2.0 | 5250 | 0.6614 | 1.9120 | |
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| 0.5472 | 3.0 | 7875 | 0.6635 | 1.9410 | |
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| 0.513 | 4.0 | 10500 | 0.6679 | 1.9818 | |
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| 0.4714 | 5.0 | 13125 | 0.6711 | 1.9428 | |
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| 0.4378 | 6.0 | 15750 | 0.6727 | 2.0051 | |
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| 0.4105 | 7.0 | 18375 | 0.6778 | 1.9917 | |
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| 0.3837 | 8.0 | 21000 | 0.6792 | 2.0413 | |
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| 0.3602 | 9.0 | 23625 | 0.6870 | 2.0738 | |
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| 0.336 | 10.0 | 26250 | 2.0872 | 0.6876 | |
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| 0.3057 | 11.0 | 28875 | 2.1163 | 0.6894 | |
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| 0.2856 | 12.0 | 31500 | 2.1105 | 0.6936 | |
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| 0.2704 | 13.0 | 34125 | 2.1685 | 0.6965 | |
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| 0.2503 | 14.0 | 36750 | 2.1627 | 0.6994 | |
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| 0.2362 | 15.0 | 39375 | 2.1793 | 0.7000 | |
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### Framework versions |
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- Transformers 4.33.3 |
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- Pytorch 2.1.2 |
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- Datasets 2.16.1 |
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- Tokenizers 0.13.3 |
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