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_exp1_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_exp1_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': 0.9826666666666667}
+- Loss: 0.1296
+- Overall Accuracy: 0.9827
+- Human Accuracy: 0.966
+- Ld Accuracy: 0.994
+- Sd Accuracy: 0.988
+
+## 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 |
+|:-------------:|:-----:|:----:|:--------------------------------:|:---------------:|:----------------:|:--------------:|:-----------:|:-----------:|
+| 0.1366        | 0.992 | 93   | {'accuracy': 0.9873333333333333} | 0.1221          | 0.9873           | 0.9816         | 0.9962      | 0.9836      |
+
+
+### Framework versions
+
+- Transformers 4.41.0
+- Pytorch 2.3.0+cu121
+- Datasets 2.19.1
+- Tokenizers 0.19.1

runs/May22_10-00-53_1ba7ee1670be/events.out.tfevents.1716372364.1ba7ee1670be.153.1

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