End of training

README.md

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+---
+license: apache-2.0
+base_model: 02shanky/vit-finetuned-cifar10
+tags:
+- generated_from_trainer
+datasets:
+- cifar10
+metrics:
+- accuracy
+model-index:
+- name: vit-finetuned-vanilla-cifar10-0
+  results:
+  - task:
+      name: Image Classification
+      type: image-classification
+    dataset:
+      name: cifar10
+      type: cifar10
+      config: plain_text
+      split: train
+      args: plain_text
+    metrics:
+    - name: Accuracy
+      type: accuracy
+      value: 0.9911111111111112
+---
+
+<!-- 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-finetuned-vanilla-cifar10-0
+
+This model is a fine-tuned version of [02shanky/vit-finetuned-cifar10](https://huggingface.co/02shanky/vit-finetuned-cifar10) on the cifar10 dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.0336
+- Accuracy: 0.9911
+
+## 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: 0.0001
+- 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
+- num_epochs: 2
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|
+| 0.306         | 1.0   | 633  | 0.0478          | 0.986    |
+| 0.2268        | 2.0   | 1266 | 0.0336          | 0.9911   |
+
+
+### Framework versions
+
+- Transformers 4.34.1
+- Pytorch 2.1.0+cu118
+- Datasets 2.14.6
+- Tokenizers 0.14.1