---
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_sgd_001_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: 0.3333333333333333
---

<!-- 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_sgd_001_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: 1.2883
- Accuracy: 0.3333

## 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: 0.001
- 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    | 1.5095          | 0.2667   |
| 1.5706        | 2.0   | 12   | 1.4767          | 0.2667   |
| 1.5706        | 3.0   | 18   | 1.4520          | 0.2667   |
| 1.4609        | 4.0   | 24   | 1.4339          | 0.3111   |
| 1.4723        | 5.0   | 30   | 1.4175          | 0.3111   |
| 1.4723        | 6.0   | 36   | 1.4043          | 0.3111   |
| 1.4256        | 7.0   | 42   | 1.3928          | 0.3111   |
| 1.4256        | 8.0   | 48   | 1.3810          | 0.3111   |
| 1.3951        | 9.0   | 54   | 1.3717          | 0.3111   |
| 1.359         | 10.0  | 60   | 1.3630          | 0.3111   |
| 1.359         | 11.0  | 66   | 1.3563          | 0.3111   |
| 1.3542        | 12.0  | 72   | 1.3514          | 0.2889   |
| 1.3542        | 13.0  | 78   | 1.3444          | 0.2889   |
| 1.3277        | 14.0  | 84   | 1.3408          | 0.2667   |
| 1.3111        | 15.0  | 90   | 1.3350          | 0.2667   |
| 1.3111        | 16.0  | 96   | 1.3320          | 0.2889   |
| 1.3054        | 17.0  | 102  | 1.3278          | 0.2889   |
| 1.3054        | 18.0  | 108  | 1.3233          | 0.2889   |
| 1.2953        | 19.0  | 114  | 1.3199          | 0.2889   |
| 1.2867        | 20.0  | 120  | 1.3171          | 0.2889   |
| 1.2867        | 21.0  | 126  | 1.3151          | 0.2889   |
| 1.2581        | 22.0  | 132  | 1.3144          | 0.2889   |
| 1.2581        | 23.0  | 138  | 1.3095          | 0.2889   |
| 1.2646        | 24.0  | 144  | 1.3068          | 0.3111   |
| 1.2188        | 25.0  | 150  | 1.3045          | 0.3111   |
| 1.2188        | 26.0  | 156  | 1.3025          | 0.3333   |
| 1.2206        | 27.0  | 162  | 1.3017          | 0.3333   |
| 1.2206        | 28.0  | 168  | 1.2992          | 0.3333   |
| 1.2061        | 29.0  | 174  | 1.2990          | 0.3333   |
| 1.2221        | 30.0  | 180  | 1.2969          | 0.3333   |
| 1.2221        | 31.0  | 186  | 1.2951          | 0.3333   |
| 1.2025        | 32.0  | 192  | 1.2945          | 0.3333   |
| 1.2025        | 33.0  | 198  | 1.2933          | 0.3333   |
| 1.2187        | 34.0  | 204  | 1.2926          | 0.3333   |
| 1.2089        | 35.0  | 210  | 1.2913          | 0.3333   |
| 1.2089        | 36.0  | 216  | 1.2899          | 0.3333   |
| 1.1998        | 37.0  | 222  | 1.2891          | 0.3333   |
| 1.1998        | 38.0  | 228  | 1.2890          | 0.3333   |
| 1.2017        | 39.0  | 234  | 1.2884          | 0.3333   |
| 1.1887        | 40.0  | 240  | 1.2883          | 0.3333   |
| 1.1887        | 41.0  | 246  | 1.2883          | 0.3333   |
| 1.1807        | 42.0  | 252  | 1.2883          | 0.3333   |
| 1.1807        | 43.0  | 258  | 1.2883          | 0.3333   |
| 1.2122        | 44.0  | 264  | 1.2883          | 0.3333   |
| 1.2003        | 45.0  | 270  | 1.2883          | 0.3333   |
| 1.2003        | 46.0  | 276  | 1.2883          | 0.3333   |
| 1.1882        | 47.0  | 282  | 1.2883          | 0.3333   |
| 1.1882        | 48.0  | 288  | 1.2883          | 0.3333   |
| 1.1992        | 49.0  | 294  | 1.2883          | 0.3333   |
| 1.1934        | 50.0  | 300  | 1.2883          | 0.3333   |


### Framework versions

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