generated_from_trainer dataset:cifar10 base_model:02shanky/test-cifar-10 license:apache-2.0 region:us
---
license: apache-2.0
base_model: 02shanky/test-cifar-10
tags:
- generated_from_trainer
datasets:
- cifar10
model-index:
- name: VIT-finetuned-lora-CIFAR10
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# VIT-finetuned-lora-CIFAR10

This model is a fine-tuned version of [02shanky/test-cifar-10](https://huggingface.co/02shanky/test-cifar-10) on the cifar10 dataset.

## 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: 0.005
- train_batch_size: 32
- eval_batch_size: 32
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 128
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 1

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| No log        | 1.0   | 316  | 0.0282          | 0.9907   |


### Framework versions

- Transformers 4.34.1
- Pytorch 2.1.0+cu118
- Datasets 2.14.6
- Tokenizers 0.14.1
