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-32
+  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-32
+
+This model is a fine-tuned version of [google/vit-base-patch32-224-in21k](https://huggingface.co/google/vit-base-patch32-224-in21k) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.0014
+- 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 |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:------:|:---------:|
+| 0.1463        | 0.29  | 50   | 0.2883          | 0.8990   | 0.8990 | 0.8990 | 0.8990    |
+| 0.0861        | 0.59  | 100  | 0.1700          | 0.9469   | 0.9469 | 0.9469 | 0.9469    |
+| 0.155         | 0.88  | 150  | 0.1299          | 0.9555   | 0.9555 | 0.9555 | 0.9555    |
+| 0.0188        | 1.18  | 200  | 0.1214          | 0.9623   | 0.9623 | 0.9623 | 0.9623    |
+| 0.0335        | 1.47  | 250  | 0.0261          | 0.9932   | 0.9932 | 0.9932 | 0.9932    |
+| 0.003         | 1.76  | 300  | 0.0033          | 1.0      | 1.0    | 1.0    | 1.0       |
+| 0.0023        | 2.06  | 350  | 0.0025          | 1.0      | 1.0    | 1.0    | 1.0       |
+| 0.002         | 2.35  | 400  | 0.0021          | 1.0      | 1.0    | 1.0    | 1.0       |
+| 0.0017        | 2.65  | 450  | 0.0018          | 1.0      | 1.0    | 1.0    | 1.0       |
+| 0.0017        | 2.94  | 500  | 0.0017          | 1.0      | 1.0    | 1.0    | 1.0       |
+| 0.0015        | 3.24  | 550  | 0.0016          | 1.0      | 1.0    | 1.0    | 1.0       |
+| 0.0014        | 3.53  | 600  | 0.0015          | 1.0      | 1.0    | 1.0    | 1.0       |
+| 0.0014        | 3.82  | 650  | 0.0014          | 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