update model card README.md

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README.md

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+---
+license: apache-2.0
+tags:
+- generated_from_trainer
+datasets:
+- imagefolder
+metrics:
+- accuracy
+model-index:
+- name: vit-base-game-icons
+  results:
+  - task:
+      name: Image Classification
+      type: image-classification
+    dataset:
+      name: imagefolder
+      type: imagefolder
+      config: game-icons
+      split: train
+      args: game-icons
+    metrics:
+    - name: Accuracy
+      type: accuracy
+      value: 0.6548387096774193
+---
+
+<!-- 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-game-icons
+
+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 imagefolder dataset.
+It achieves the following results on the evaluation set:
+- Loss: 1.1693
+- Accuracy: 0.6548
+
+## 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: 2e-05
+- train_batch_size: 8
+- eval_batch_size: 8
+- seed: 1337
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 5.0
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|
+| 1.3532        | 1.0   | 440  | 1.4272          | 0.6      |
+| 1.2843        | 2.0   | 880  | 1.2953          | 0.6032   |
+| 1.1254        | 3.0   | 1320 | 1.2201          | 0.6339   |
+| 1.5579        | 4.0   | 1760 | 1.1343          | 0.6677   |
+| 1.2813        | 5.0   | 2200 | 1.1693          | 0.6548   |
+
+
+### Framework versions
+
+- Transformers 4.28.0.dev0
+- Pytorch 1.13.1+cu117
+- Datasets 2.9.0
+- Tokenizers 0.12.1