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End of training

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  2. model.safetensors +1 -1
README.md ADDED
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+ ---
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+ license: apache-2.0
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+ base_model: ahmedesmail16/Psoriasis-Project-Aug-M2-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: Train-Augmentation-Psoriasis-Project
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+ results: []
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+ ---
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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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+
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+ # Train-Augmentation-Psoriasis-Project
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+
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+ This model is a fine-tuned version of [ahmedesmail16/Psoriasis-Project-Aug-M2-swinv2-base-patch4-window12-192-22k](https://huggingface.co/ahmedesmail16/Psoriasis-Project-Aug-M2-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: 1.0793
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+ - Accuracy: 0.8182
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+
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+ ## Model description
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+
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+ More information needed
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+
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+ ## Intended uses & limitations
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+
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+ More information needed
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+
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+ ## Training and evaluation data
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+
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+ More information needed
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+
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+ ## Training procedure
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+
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+ ### Training hyperparameters
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+
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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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+
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+ ### Training results
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+
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+ | Training Loss | Epoch | Step | Validation Loss | Accuracy |
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+ |:-------------:|:-----:|:----:|:---------------:|:--------:|
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+ | 0.4867 | 0.99 | 93 | 0.8388 | 0.7075 |
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+ | 0.2164 | 2.0 | 187 | 0.8105 | 0.7470 |
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+ | 0.1503 | 2.99 | 280 | 0.8719 | 0.7470 |
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+ | 0.1074 | 4.0 | 374 | 0.8725 | 0.7708 |
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+ | 0.0649 | 4.99 | 467 | 0.8323 | 0.7984 |
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+ | 0.0259 | 6.0 | 561 | 1.2222 | 0.7945 |
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+ | 0.0162 | 6.99 | 654 | 1.0419 | 0.8024 |
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+ | 0.0135 | 8.0 | 748 | 0.9799 | 0.8300 |
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+ | 0.0031 | 8.99 | 841 | 1.1125 | 0.8063 |
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+ | 0.0041 | 9.95 | 930 | 1.0793 | 0.8182 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.39.3
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+ - Pytorch 2.1.2
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+ - Datasets 2.19.1
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+ - Tokenizers 0.15.2
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