---
license: apache-2.0
base_model: microsoft/beit-base-patch16-224
tags:
- generated_from_trainer
datasets:
- imagefolder
metrics:
- accuracy
model-index:
- name: hushem_1x_beit_base_rms_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: 0.5333333333333333
---

<!-- 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_1x_beit_base_rms_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: 3.2742
- Accuracy: 0.5333

## 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 |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| No log        | 1.0   | 6    | 1.4059          | 0.2444   |
| 2.1162        | 2.0   | 12   | 1.4011          | 0.2444   |
| 2.1162        | 3.0   | 18   | 1.4001          | 0.2444   |
| 1.4079        | 4.0   | 24   | 1.4023          | 0.2444   |
| 1.3851        | 5.0   | 30   | 1.3440          | 0.4      |
| 1.3851        | 6.0   | 36   | 1.6621          | 0.2444   |
| 1.3464        | 7.0   | 42   | 1.3490          | 0.2889   |
| 1.3464        | 8.0   | 48   | 1.3162          | 0.2667   |
| 1.2763        | 9.0   | 54   | 1.5389          | 0.2444   |
| 1.2353        | 10.0  | 60   | 1.1918          | 0.5111   |
| 1.2353        | 11.0  | 66   | 1.2702          | 0.3111   |
| 1.1503        | 12.0  | 72   | 1.1819          | 0.4667   |
| 1.1503        | 13.0  | 78   | 1.1946          | 0.4      |
| 1.1428        | 14.0  | 84   | 1.2858          | 0.4222   |
| 0.9448        | 15.0  | 90   | 1.2191          | 0.5333   |
| 0.9448        | 16.0  | 96   | 1.0792          | 0.4667   |
| 0.8793        | 17.0  | 102  | 1.0942          | 0.5333   |
| 0.8793        | 18.0  | 108  | 1.0695          | 0.5333   |
| 0.7925        | 19.0  | 114  | 1.5298          | 0.4889   |
| 0.7637        | 20.0  | 120  | 1.4292          | 0.4889   |
| 0.7637        | 21.0  | 126  | 1.1665          | 0.4889   |
| 0.6936        | 22.0  | 132  | 1.2681          | 0.4444   |
| 0.6936        | 23.0  | 138  | 1.4911          | 0.4667   |
| 0.6862        | 24.0  | 144  | 1.6737          | 0.4889   |
| 0.6196        | 25.0  | 150  | 1.3333          | 0.5111   |
| 0.6196        | 26.0  | 156  | 2.1751          | 0.4889   |
| 0.5849        | 27.0  | 162  | 1.6904          | 0.4444   |
| 0.5849        | 28.0  | 168  | 2.4209          | 0.5333   |
| 0.5413        | 29.0  | 174  | 1.3664          | 0.4444   |
| 0.4937        | 30.0  | 180  | 2.0398          | 0.5111   |
| 0.4937        | 31.0  | 186  | 1.5682          | 0.5111   |
| 0.4704        | 32.0  | 192  | 2.0516          | 0.5556   |
| 0.4704        | 33.0  | 198  | 2.7441          | 0.5778   |
| 0.4133        | 34.0  | 204  | 2.2801          | 0.5111   |
| 0.354         | 35.0  | 210  | 2.5861          | 0.5333   |
| 0.354         | 36.0  | 216  | 2.6593          | 0.5333   |
| 0.3074        | 37.0  | 222  | 2.7263          | 0.5333   |
| 0.3074        | 38.0  | 228  | 2.8622          | 0.4889   |
| 0.2263        | 39.0  | 234  | 3.1445          | 0.5556   |
| 0.2656        | 40.0  | 240  | 3.2265          | 0.5333   |
| 0.2656        | 41.0  | 246  | 3.2774          | 0.5333   |
| 0.2527        | 42.0  | 252  | 3.2742          | 0.5333   |
| 0.2527        | 43.0  | 258  | 3.2742          | 0.5333   |
| 0.2167        | 44.0  | 264  | 3.2742          | 0.5333   |
| 0.2791        | 45.0  | 270  | 3.2742          | 0.5333   |
| 0.2791        | 46.0  | 276  | 3.2742          | 0.5333   |
| 0.2024        | 47.0  | 282  | 3.2742          | 0.5333   |
| 0.2024        | 48.0  | 288  | 3.2742          | 0.5333   |
| 0.2259        | 49.0  | 294  | 3.2742          | 0.5333   |
| 0.2149        | 50.0  | 300  | 3.2742          | 0.5333   |


### Framework versions

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