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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-patch16-224-Rado_5
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-Rado_5
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: 0.1831
- Accuracy: 0.9185
## 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: 0.0002
- 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 |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 0.554 | 1.0 | 10 | 0.3765 | 0.8741 |
| 0.2117 | 2.0 | 20 | 0.2063 | 0.8963 |
| 0.1368 | 3.0 | 30 | 0.1797 | 0.9259 |
| 0.0953 | 4.0 | 40 | 0.2555 | 0.9037 |
| 0.0726 | 5.0 | 50 | 0.1396 | 0.9185 |
| 0.079 | 6.0 | 60 | 0.2110 | 0.9185 |
| 0.0622 | 7.0 | 70 | 0.1790 | 0.9259 |
| 0.0655 | 8.0 | 80 | 0.1837 | 0.9333 |
| 0.0736 | 9.0 | 90 | 0.1798 | 0.9259 |
| 0.0541 | 10.0 | 100 | 0.1831 | 0.9185 |
### Framework versions
- Transformers 4.41.1
- Pytorch 2.3.0+cu121
- Tokenizers 0.19.1
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