Model save

README.md

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+---
+license: apache-2.0
+base_model: google/vit-base-patch16-224-in21k
+tags:
+- generated_from_trainer
+model-index:
+- name: ryan_model314_3
+  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. -->
+
+# ryan_model314_3
+
+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: 0.2818
+- Na Accuracy: 0.955
+- Ordinal Mae: 1.2378
+
+## 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: 0.0001
+- 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
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Na Accuracy | Ordinal Mae |
+|:-------------:|:-----:|:----:|:---------------:|:-----------:|:-----------:|
+| 0.4505        | 0.2   | 25   | 0.4262          | 0.9         | 1.0092      |
+| 0.3847        | 0.4   | 50   | 0.3676          | 0.935       | 1.3719      |
+| 0.3061        | 0.6   | 75   | 0.3262          | 0.945       | 0.7486      |
+| 0.2744        | 0.8   | 100  | 0.3524          | 0.905       | 1.1408      |
+| 0.2384        | 1.0   | 125  | 0.3611          | 0.93        | 0.6747      |
+| 0.2021        | 1.2   | 150  | 0.3105          | 0.95        | 1.0441      |
+| 0.2234        | 1.4   | 175  | 0.2738          | 0.955       | 1.4168      |
+| 0.187         | 1.6   | 200  | 0.2688          | 0.955       | 1.3653      |
+| 0.2008        | 1.8   | 225  | 0.2669          | 0.96        | 0.8936      |
+| 0.1541        | 2.0   | 250  | 0.2547          | 0.95        | 1.2090      |
+| 0.1201        | 2.2   | 275  | 0.2725          | 0.95        | 0.7955      |
+| 0.113         | 2.4   | 300  | 0.2818          | 0.955       | 1.2378      |
+
+
+### Framework versions
+
+- Transformers 4.39.1
+- Pytorch 2.2.1+cu121
+- Datasets 2.18.0
+- Tokenizers 0.15.2

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