Model save

README.md

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+---
+license: apache-2.0
+base_model: google/vit-base-patch16-224-in21k
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+model-index:
+- name: cifar100-vit-base-patch16-224-in21k
+  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. -->
+
+# cifar100-vit-base-patch16-224-in21k
+
+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: 0.3032
+- Accuracy: 0.9269
+
+## 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: 10.0
+
+### Training results
+
+| Training Loss | Epoch | Step  | Validation Loss | Accuracy |
+|:-------------:|:-----:|:-----:|:---------------:|:--------:|
+| 1.3866        | 1.0   | 5313  | 1.0968          | 0.8747   |
+| 0.6479        | 2.0   | 10626 | 0.4377          | 0.9004   |
+| 0.6092        | 3.0   | 15939 | 0.3439          | 0.9081   |
+| 0.4173        | 4.0   | 21252 | 0.3205          | 0.9169   |
+| 0.4665        | 5.0   | 26565 | 0.3039          | 0.9175   |
+| 0.3944        | 6.0   | 31878 | 0.3082          | 0.9201   |
+| 0.303         | 7.0   | 37191 | 0.3011          | 0.9241   |
+| 0.6128        | 8.0   | 42504 | 0.2983          | 0.9261   |
+| 0.3794        | 9.0   | 47817 | 0.2945          | 0.926    |
+| 0.3274        | 10.0  | 53130 | 0.3032          | 0.9269   |
+
+
+### Framework versions
+
+- Transformers 4.38.0
+- Pytorch 2.1.2+cu118
+- Datasets 2.19.1
+- Tokenizers 0.15.2

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