update model card README.md

README.md

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+---
+license: apache-2.0
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+- recall
+- f1
+- precision
+model-index:
+- name: vit-base-modified-augmented-ph2-patch-16
+  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. -->
+
+# vit-base-modified-augmented-ph2-patch-16
+
+This model is a fine-tuned version of [google/vit-base-patch16-224-in21k](https://huggingface.co/google/vit-base-patch16-224-in21k) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.0010
+- Accuracy: 1.0
+- Recall: 1.0
+- F1: 1.0
+- Precision: 1.0
+
+## 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: 0.0002
+- train_batch_size: 16
+- eval_batch_size: 8
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 4
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy | Recall | F1     | Precision |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:------:|:---------:|
+| 0.1238        | 0.29  | 50   | 0.1973          | 0.9332   | 0.9332 | 0.9332 | 0.9332    |
+| 0.1857        | 0.59  | 100  | 0.1084          | 0.9623   | 0.9623 | 0.9623 | 0.9623    |
+| 0.2506        | 0.88  | 150  | 0.0773          | 0.9692   | 0.9692 | 0.9692 | 0.9692    |
+| 0.0247        | 1.18  | 200  | 0.1158          | 0.9606   | 0.9606 | 0.9606 | 0.9606    |
+| 0.0089        | 1.47  | 250  | 0.0162          | 0.9914   | 0.9914 | 0.9914 | 0.9914    |
+| 0.0226        | 1.76  | 300  | 0.0020          | 1.0      | 1.0    | 1.0    | 1.0       |
+| 0.0261        | 2.06  | 350  | 0.0017          | 1.0      | 1.0    | 1.0    | 1.0       |
+| 0.0014        | 2.35  | 400  | 0.0014          | 1.0      | 1.0    | 1.0    | 1.0       |
+| 0.0012        | 2.65  | 450  | 0.0013          | 1.0      | 1.0    | 1.0    | 1.0       |
+| 0.0013        | 2.94  | 500  | 0.0012          | 1.0      | 1.0    | 1.0    | 1.0       |
+| 0.0011        | 3.24  | 550  | 0.0011          | 1.0      | 1.0    | 1.0    | 1.0       |
+| 0.001         | 3.53  | 600  | 0.0011          | 1.0      | 1.0    | 1.0    | 1.0       |
+| 0.0011        | 3.82  | 650  | 0.0010          | 1.0      | 1.0    | 1.0    | 1.0       |
+
+
+### Framework versions
+
+- Transformers 4.30.2
+- Pytorch 2.0.1+cu118
+- Datasets 2.13.1
+- Tokenizers 0.13.3