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End of training
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README.md
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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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- 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-M-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-M-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: 0.2385
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- Accuracy: 0.9167
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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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| No log | 0.92 | 6 | 0.3476 | 0.9167 |
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| 0.0528 | 2.0 | 13 | 0.2577 | 0.9167 |
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| 0.0528 | 2.92 | 19 | 0.3270 | 0.9167 |
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| 0.0535 | 4.0 | 26 | 0.3330 | 0.8542 |
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| 0.0176 | 4.92 | 32 | 0.2745 | 0.8958 |
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| 0.0176 | 6.0 | 39 | 0.3743 | 0.8958 |
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| 0.0337 | 6.92 | 45 | 0.3473 | 0.8958 |
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| 0.0066 | 8.0 | 52 | 0.2628 | 0.9167 |
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| 0.0066 | 8.92 | 58 | 0.2392 | 0.9167 |
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| 0.0049 | 9.23 | 60 | 0.2385 | 0.9167 |
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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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model.safetensors
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