End of training

README.md

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+---
+license: apache-2.0
+base_model: ahmedesmail16/Psoriasis-Project-Aug-M2-swinv2-base-patch4-window12-192-22k
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+model-index:
+- name: Train-Augmentation-Psoriasis-Project
+  results: []
+---
+
+<!-- This model card has been generated automatically according to the information the Trainer had access to. You
+should probably proofread and complete it, then remove this comment. -->
+
+# Train-Augmentation-Psoriasis-Project
+
+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.
+It achieves the following results on the evaluation set:
+- Loss: 1.0793
+- Accuracy: 0.8182
+
+## Model description
+
+More information needed
+
+## Intended uses & limitations
+
+More information needed
+
+## Training and evaluation data
+
+More information needed
+
+## Training procedure
+
+### Training hyperparameters
+
+The following hyperparameters were used during training:
+- learning_rate: 5e-05
+- train_batch_size: 16
+- eval_batch_size: 16
+- seed: 42
+- gradient_accumulation_steps: 4
+- total_train_batch_size: 64
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_ratio: 0.1
+- num_epochs: 10
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|
+| 0.4867        | 0.99  | 93   | 0.8388          | 0.7075   |
+| 0.2164        | 2.0   | 187  | 0.8105          | 0.7470   |
+| 0.1503        | 2.99  | 280  | 0.8719          | 0.7470   |
+| 0.1074        | 4.0   | 374  | 0.8725          | 0.7708   |
+| 0.0649        | 4.99  | 467  | 0.8323          | 0.7984   |
+| 0.0259        | 6.0   | 561  | 1.2222          | 0.7945   |
+| 0.0162        | 6.99  | 654  | 1.0419          | 0.8024   |
+| 0.0135        | 8.0   | 748  | 0.9799          | 0.8300   |
+| 0.0031        | 8.99  | 841  | 1.1125          | 0.8063   |
+| 0.0041        | 9.95  | 930  | 1.0793          | 0.8182   |
+
+
+### Framework versions
+
+- Transformers 4.39.3
+- Pytorch 2.1.2
+- Datasets 2.19.1
+- Tokenizers 0.15.2

model.safetensors

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