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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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- generated_from_trainer |
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metrics: |
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- accuracy |
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model-index: |
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- name: Psoriasis-Project-Aug-M2-swinv2-base-patch4-window12-192-22k |
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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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# Psoriasis-Project-Aug-M2-swinv2-base-patch4-window12-192-22k |
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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: 0.0234 |
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- Accuracy: 0.9792 |
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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: 10 |
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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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| 0.7248 | 0.99 | 36 | 0.2056 | 0.9167 | |
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| 0.2559 | 1.99 | 72 | 0.1087 | 0.9583 | |
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| 0.0924 | 2.98 | 108 | 0.0404 | 0.9792 | |
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| 0.0458 | 4.0 | 145 | 0.0026 | 1.0 | |
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| 0.0518 | 4.99 | 181 | 0.0262 | 0.9792 | |
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| 0.0358 | 5.99 | 217 | 0.0204 | 1.0 | |
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| 0.019 | 6.98 | 253 | 0.0024 | 1.0 | |
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| 0.0125 | 8.0 | 290 | 0.0057 | 1.0 | |
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| 0.0023 | 8.99 | 326 | 0.0195 | 0.9792 | |
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| 0.0049 | 9.93 | 360 | 0.0234 | 0.9792 | |
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### Framework versions |
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- Transformers 4.39.3 |
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- Pytorch 2.1.2 |
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- Datasets 2.18.0 |
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- Tokenizers 0.15.2 |
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