---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: beit-sketch-classifier
  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. -->

# beit-sketch-classifier

This model is a fine-tuned version of [microsoft/beit-base-patch16-224-pt22k-ft22k](https://huggingface.co/microsoft/beit-base-patch16-224-pt22k-ft22k) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 1.6083
- Accuracy: 0.7480

## 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: 5e-05
- 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: 20

### Training results

| Training Loss | Epoch | Step  | Validation Loss | Accuracy |
|:-------------:|:-----:|:-----:|:---------------:|:--------:|
| 1.3452        | 1.0   | 3151  | 1.3825          | 0.6702   |
| 1.052         | 2.0   | 6302  | 1.0776          | 0.7252   |
| 0.9884        | 3.0   | 9453  | 0.9989          | 0.7443   |
| 0.8054        | 4.0   | 12604 | 0.9747          | 0.7526   |
| 0.6271        | 5.0   | 15755 | 0.9770          | 0.7558   |
| 0.5719        | 6.0   | 18906 | 1.0201          | 0.7528   |
| 0.3557        | 7.0   | 22057 | 1.0702          | 0.7523   |
| 0.2637        | 8.0   | 25208 | 1.1324          | 0.7501   |
| 0.1878        | 9.0   | 28359 | 1.2129          | 0.7434   |
| 0.1616        | 10.0  | 31510 | 1.2692          | 0.7457   |
| 0.1148        | 11.0  | 34661 | 1.3425          | 0.7435   |
| 0.0867        | 12.0  | 37812 | 1.3999          | 0.7430   |
| 0.065         | 13.0  | 40963 | 1.4472          | 0.7442   |
| 0.0489        | 14.0  | 44114 | 1.4836          | 0.7457   |
| 0.0365        | 15.0  | 47265 | 1.5194          | 0.7445   |
| 0.0386        | 16.0  | 50416 | 1.5506          | 0.7458   |
| 0.0315        | 17.0  | 53567 | 1.5778          | 0.7461   |
| 0.0236        | 18.0  | 56718 | 1.5986          | 0.7467   |
| 0.0264        | 19.0  | 59869 | 1.6085          | 0.7475   |
| 0.0146        | 20.0  | 63020 | 1.6083          | 0.7480   |


### Framework versions

- Transformers 4.25.1
- Pytorch 1.13.1+cu117
- Datasets 2.7.1
- Tokenizers 0.13.2