Model save

README.md

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+---
+library_name: transformers
+license: apache-2.0
+base_model: google/vit-large-patch16-224
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+model-index:
+- name: vit-large-ai-or-not
+  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-large-ai-or-not
+
+This model is a fine-tuned version of [google/vit-large-patch16-224](https://huggingface.co/google/vit-large-patch16-224) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.1124
+- Accuracy: 0.9635
+
+## 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: 2
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch  | Step | Validation Loss | Accuracy |
+|:-------------:|:------:|:----:|:---------------:|:--------:|
+| 0.3925        | 0.1808 | 200  | 0.4045          | 0.8786   |
+| 0.2803        | 0.3617 | 400  | 0.2386          | 0.9044   |
+| 0.2235        | 0.5425 | 600  | 0.1893          | 0.9173   |
+| 0.217         | 0.7233 | 800  | 0.1597          | 0.9398   |
+| 0.1865        | 0.9042 | 1000 | 0.1413          | 0.9420   |
+| 0.1309        | 1.0850 | 1200 | 0.1474          | 0.9517   |
+| 0.1008        | 1.2658 | 1400 | 0.1914          | 0.9420   |
+| 0.0793        | 1.4467 | 1600 | 0.1557          | 0.9441   |
+| 0.0804        | 1.6275 | 1800 | 0.2301          | 0.9313   |
+| 0.0814        | 1.8083 | 2000 | 0.1039          | 0.9581   |
+| 0.0446        | 1.9892 | 2200 | 0.1124          | 0.9635   |
+
+
+### Framework versions
+
+- Transformers 4.44.2
+- Pytorch 2.4.1+cu121
+- Datasets 3.0.2
+- Tokenizers 0.19.1

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