Model save

README.md

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+---
+license: apache-2.0
+base_model: google/vit-base-patch16-224
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+model-index:
+- name: vit-base-oxford-iiit-pets
+  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-base-oxford-iiit-pets
+
+This model is a fine-tuned version of [google/vit-base-patch16-224](https://huggingface.co/google/vit-base-patch16-224) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.1861
+- Accuracy: 0.9459
+
+## 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: 0.0003
+- 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: 5
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|
+| 0.391         | 1.0   | 370  | 0.3147          | 0.9188   |
+| 0.2372        | 2.0   | 740  | 0.2336          | 0.9296   |
+| 0.1759        | 3.0   | 1110 | 0.2081          | 0.9364   |
+| 0.1369        | 4.0   | 1480 | 0.1964          | 0.9378   |
+| 0.1154        | 5.0   | 1850 | 0.1951          | 0.9391   |
+
+
+### Framework versions
+
+- Transformers 4.42.3
+- Pytorch 2.2.1+cu118
+- Datasets 2.16.1
+- Tokenizers 0.19.1

runs/Jul19_05-07-44_LAPTOP-AINQIEJ0/events.out.tfevents.1721337007.LAPTOP-AINQIEJ0

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