End of training

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: ai_art_exp3_vit
+  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. -->
+
+# ai_art_exp3_vit
+
+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:
+- Accuracy: {'accuracy': 0.72}
+- Loss: 0.9013
+- Overall Accuracy: 0.72
+- Human Accuracy: 0.34
+- Ld Accuracy: 0.9
+- Sd Accuracy: 0.92
+
+## 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: 5e-05
+- train_batch_size: 16
+- eval_batch_size: 16
+- seed: 42
+- gradient_accumulation_steps: 4
+- total_train_batch_size: 64
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_ratio: 0.1
+- num_epochs: 1
+
+### Training results
+
+| Training Loss | Epoch | Step | Accuracy           | Validation Loss | Overall Accuracy | Human Accuracy | Ld Accuracy | Sd Accuracy |
+|:-------------:|:-----:|:----:|:------------------:|:---------------:|:----------------:|:--------------:|:-----------:|:-----------:|
+| 1.0375        | 0.96  | 18   | {'accuracy': 0.72} | 0.9182          | 0.72             | 0.3889         | 0.9192      | 0.8925      |
+
+
+### Framework versions
+
+- Transformers 4.41.1
+- Pytorch 2.3.0+cu121
+- Datasets 2.19.2
+- Tokenizers 0.19.1

runs/Jun03_23-17-04_e740bc5b3063/events.out.tfevents.1717456729.e740bc5b3063.1073.1

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