---
license: apache-2.0
base_model: microsoft/beit-base-patch16-224
tags:
- generated_from_trainer
datasets:
- imagefolder
metrics:
- accuracy
model-index:
- name: hushem_5x_beit_base_sgd_0001_fold2
  results:
  - task:
      name: Image Classification
      type: image-classification
    dataset:
      name: imagefolder
      type: imagefolder
      config: default
      split: test
      args: default
    metrics:
    - name: Accuracy
      type: accuracy
      value: 0.26666666666666666
---

<!-- 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. -->

# hushem_5x_beit_base_sgd_0001_fold2

This model is a fine-tuned version of [microsoft/beit-base-patch16-224](https://huggingface.co/microsoft/beit-base-patch16-224) on the imagefolder dataset.
It achieves the following results on the evaluation set:
- Loss: 1.4185
- Accuracy: 0.2667

## 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: 32
- eval_batch_size: 32
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 50

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 1.4965        | 1.0   | 27   | 1.5474          | 0.2667   |
| 1.561         | 2.0   | 54   | 1.5386          | 0.2667   |
| 1.5488        | 3.0   | 81   | 1.5312          | 0.2667   |
| 1.5518        | 4.0   | 108  | 1.5243          | 0.2667   |
| 1.4809        | 5.0   | 135  | 1.5177          | 0.2667   |
| 1.4954        | 6.0   | 162  | 1.5111          | 0.2667   |
| 1.4888        | 7.0   | 189  | 1.5048          | 0.2667   |
| 1.5126        | 8.0   | 216  | 1.4993          | 0.2667   |
| 1.4812        | 9.0   | 243  | 1.4939          | 0.2667   |
| 1.4494        | 10.0  | 270  | 1.4885          | 0.2667   |
| 1.4861        | 11.0  | 297  | 1.4838          | 0.2667   |
| 1.491         | 12.0  | 324  | 1.4794          | 0.2667   |
| 1.4395        | 13.0  | 351  | 1.4751          | 0.2667   |
| 1.4636        | 14.0  | 378  | 1.4709          | 0.2667   |
| 1.4302        | 15.0  | 405  | 1.4673          | 0.2667   |
| 1.4414        | 16.0  | 432  | 1.4635          | 0.2667   |
| 1.4468        | 17.0  | 459  | 1.4602          | 0.2667   |
| 1.4709        | 18.0  | 486  | 1.4571          | 0.2667   |
| 1.4325        | 19.0  | 513  | 1.4542          | 0.2667   |
| 1.4645        | 20.0  | 540  | 1.4515          | 0.2667   |
| 1.4346        | 21.0  | 567  | 1.4487          | 0.2667   |
| 1.4324        | 22.0  | 594  | 1.4459          | 0.2667   |
| 1.3769        | 23.0  | 621  | 1.4436          | 0.2667   |
| 1.3945        | 24.0  | 648  | 1.4414          | 0.2667   |
| 1.415         | 25.0  | 675  | 1.4393          | 0.2667   |
| 1.4371        | 26.0  | 702  | 1.4375          | 0.2667   |
| 1.4355        | 27.0  | 729  | 1.4356          | 0.2667   |
| 1.3979        | 28.0  | 756  | 1.4341          | 0.2667   |
| 1.4061        | 29.0  | 783  | 1.4326          | 0.2667   |
| 1.4573        | 30.0  | 810  | 1.4309          | 0.2667   |
| 1.4027        | 31.0  | 837  | 1.4293          | 0.2667   |
| 1.4089        | 32.0  | 864  | 1.4280          | 0.2667   |
| 1.43          | 33.0  | 891  | 1.4268          | 0.2667   |
| 1.4098        | 34.0  | 918  | 1.4255          | 0.2667   |
| 1.3671        | 35.0  | 945  | 1.4244          | 0.2667   |
| 1.3717        | 36.0  | 972  | 1.4237          | 0.2667   |
| 1.3658        | 37.0  | 999  | 1.4228          | 0.2667   |
| 1.4295        | 38.0  | 1026 | 1.4220          | 0.2667   |
| 1.3909        | 39.0  | 1053 | 1.4214          | 0.2667   |
| 1.3599        | 40.0  | 1080 | 1.4209          | 0.2667   |
| 1.3564        | 41.0  | 1107 | 1.4202          | 0.2667   |
| 1.3635        | 42.0  | 1134 | 1.4197          | 0.2667   |
| 1.3875        | 43.0  | 1161 | 1.4194          | 0.2667   |
| 1.3551        | 44.0  | 1188 | 1.4191          | 0.2667   |
| 1.3825        | 45.0  | 1215 | 1.4188          | 0.2667   |
| 1.3691        | 46.0  | 1242 | 1.4187          | 0.2667   |
| 1.3678        | 47.0  | 1269 | 1.4186          | 0.2667   |
| 1.4155        | 48.0  | 1296 | 1.4185          | 0.2667   |
| 1.3778        | 49.0  | 1323 | 1.4185          | 0.2667   |
| 1.3456        | 50.0  | 1350 | 1.4185          | 0.2667   |


### Framework versions

- Transformers 4.35.2
- Pytorch 2.1.0+cu118
- Datasets 2.15.0
- Tokenizers 0.15.0