update model card README.md

README.md

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+---
+license: apache-2.0
+tags:
+- generated_from_trainer
+datasets:
+- imagefolder
+metrics:
+- accuracy
+model-index:
+- name: beit-large-patch16-224-finetuned-BreastCancer-Classification-BreakHis-AH-60-20-20
+  results:
+  - task:
+      name: Image Classification
+      type: image-classification
+    dataset:
+      name: imagefolder
+      type: imagefolder
+      config: Splitted-Resized
+      split: train
+      args: Splitted-Resized
+    metrics:
+    - name: Accuracy
+      type: accuracy
+      value: 0.9938708156529938
+---
+
+<!-- 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. -->
+
+# beit-large-patch16-224-finetuned-BreastCancer-Classification-BreakHis-AH-60-20-20
+
+This model is a fine-tuned version of [microsoft/beit-large-patch16-224](https://huggingface.co/microsoft/beit-large-patch16-224) on the imagefolder dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.0275
+- Accuracy: 0.9939
+
+## 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-06
+- train_batch_size: 16
+- eval_batch_size: 16
+- seed: 42
+- gradient_accumulation_steps: 2
+- total_train_batch_size: 32
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_ratio: 0.9
+- num_epochs: 12
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|
+| 0.46          | 1.0   | 199  | 0.3950          | 0.8482   |
+| 0.2048        | 2.0   | 398  | 0.1886          | 0.9189   |
+| 0.182         | 3.0   | 597  | 0.1382          | 0.9481   |
+| 0.0826        | 4.0   | 796  | 0.0760          | 0.9694   |
+| 0.0886        | 5.0   | 995  | 0.0600          | 0.9788   |
+| 0.0896        | 6.0   | 1194 | 0.0523          | 0.9802   |
+| 0.0774        | 7.0   | 1393 | 0.0482          | 0.9826   |
+| 0.0876        | 8.0   | 1592 | 0.0289          | 0.9877   |
+| 0.1105        | 9.0   | 1791 | 0.0580          | 0.9821   |
+| 0.0289        | 10.0  | 1990 | 0.0294          | 0.9925   |
+| 0.0594        | 11.0  | 2189 | 0.0331          | 0.9906   |
+| 0.0011        | 12.0  | 2388 | 0.0275          | 0.9939   |
+
+
+### Framework versions
+
+- Transformers 4.30.2
+- Pytorch 2.0.1+cu118
+- Datasets 2.13.1
+- Tokenizers 0.13.3