End of training

README.md

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+---
+library_name: transformers
+license: apache-2.0
+base_model: google/vit-base-patch16-224-in21k
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+model-index:
+- name: art_classifier
+  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. -->
+
+# art_classifier
+
+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: 0.6729
+- Accuracy: 0.8868
+
+## 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: 10
+
+### Training results
+
+| Training Loss | Epoch  | Step | Validation Loss | Accuracy |
+|:-------------:|:------:|:----:|:---------------:|:--------:|
+| No log        | 0.8571 | 3    | 1.0830          | 0.3962   |
+| No log        | 2.0    | 7    | 1.0106          | 0.6415   |
+| 1.0286        | 2.8571 | 10   | 0.9347          | 0.8302   |
+| 1.0286        | 4.0    | 14   | 0.8509          | 0.8679   |
+| 1.0286        | 4.8571 | 17   | 0.7853          | 0.8868   |
+| 0.7956        | 6.0    | 21   | 0.7458          | 0.8868   |
+| 0.7956        | 6.8571 | 24   | 0.7045          | 0.8679   |
+| 0.7956        | 8.0    | 28   | 0.6863          | 0.8868   |
+| 0.6554        | 8.5714 | 30   | 0.6729          | 0.8868   |
+
+
+### Framework versions
+
+- Transformers 4.44.2
+- Pytorch 2.4.1+cu121
+- Datasets 3.0.1
+- Tokenizers 0.19.1

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