update model card README.md

README.md

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+---
+license: apache-2.0
+tags:
+- image-classification
+- huggingpics
+- generated_from_trainer
+model-index:
+- name: huggingpics-package-demo
+  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. -->
+
+# huggingpics-package-demo
+
+This model is a fine-tuned version of [google/vit-base-patch16-224-in21k](https://huggingface.co/google/vit-base-patch16-224-in21k) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.3761
+- Acc: 0.9403
+
+## 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: 16
+- eval_batch_size: 16
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 4.0
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Acc    |
+|:-------------:|:-----:|:----:|:---------------:|:------:|
+| 1.0328        | 1.0   | 24   | 0.9442          | 0.7463 |
+| 0.8742        | 2.0   | 48   | 0.7099          | 0.9403 |
+| 0.6451        | 3.0   | 72   | 0.5050          | 0.9403 |
+| 0.508         | 4.0   | 96   | 0.3761          | 0.9403 |
+
+
+### Framework versions
+
+- Transformers 4.12.3
+- Pytorch 1.9.0+cu111
+- Tokenizers 0.10.3