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---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: vit-base-patch16-224-v21
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-patch16-224-v21
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: 0.0347
- Accuracy: 0.99
## 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: 0.0005
- 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
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 8
### Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 0.2951 | 1.0 | 190 | 0.1895 | 0.9333 |
| 0.2013 | 2.0 | 380 | 0.0813 | 0.9726 |
| 0.1935 | 3.0 | 570 | 0.0902 | 0.9681 |
| 0.1858 | 4.0 | 760 | 0.0916 | 0.9674 |
| 0.118 | 5.0 | 950 | 0.0481 | 0.9833 |
| 0.0834 | 6.0 | 1140 | 0.0578 | 0.9841 |
| 0.0986 | 7.0 | 1330 | 0.0418 | 0.9870 |
| 0.0737 | 8.0 | 1520 | 0.0347 | 0.99 |
### Framework versions
- Transformers 4.29.2
- Pytorch 2.0.1+cu118
- Tokenizers 0.13.3
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