Model save

README.md

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+---
+license: apache-2.0
+base_model: microsoft/swinv2-large-patch4-window12to16-192to256-22kto1k-ft
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+model-index:
+- name: swinv2-large-patch4-window12to16-192to256-22kto1k-ft-finetuned-BreastCancer-BreakHis-AH-Shuff-3
+  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. -->
+
+# swinv2-large-patch4-window12to16-192to256-22kto1k-ft-finetuned-BreastCancer-BreakHis-AH-Shuff-3
+
+This model is a fine-tuned version of [microsoft/swinv2-large-patch4-window12to16-192to256-22kto1k-ft](https://huggingface.co/microsoft/swinv2-large-patch4-window12to16-192to256-22kto1k-ft) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.0197
+- Accuracy: 0.9967
+
+## 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: 8
+- eval_batch_size: 8
+- seed: 42
+- gradient_accumulation_steps: 4
+- 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: 0.5
+- num_epochs: 12
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|
+| 0.2598        | 1.0   | 199  | 0.1445          | 0.9416   |
+| 0.194         | 2.0   | 398  | 0.1121          | 0.9524   |
+| 0.0967        | 3.0   | 597  | 0.0504          | 0.9826   |
+| 0.0809        | 4.0   | 796  | 0.1604          | 0.9449   |
+| 0.1531        | 5.0   | 995  | 0.0673          | 0.9807   |
+| 0.0941        | 6.0   | 1194 | 0.0866          | 0.9680   |
+| 0.1157        | 7.0   | 1393 | 0.0525          | 0.9844   |
+| 0.0684        | 8.0   | 1592 | 0.1004          | 0.9760   |
+| 0.0141        | 9.0   | 1791 | 0.0521          | 0.9873   |
+| 0.038         | 10.0  | 1990 | 0.0293          | 0.9934   |
+| 0.0044        | 11.0  | 2189 | 0.0161          | 0.9972   |
+| 0.0006        | 12.0  | 2388 | 0.0197          | 0.9967   |
+
+
+### Framework versions
+
+- Transformers 4.32.0
+- Pytorch 2.0.1+cu118
+- Datasets 2.14.4
+- Tokenizers 0.13.3

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