---
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_fold3
  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: 0.5116279069767442
---

<!-- 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_fold3

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: 3.2060
- Accuracy: 0.5116

## 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    | 1.4345          | 0.2326   |
| 2.0035        | 2.0   | 12   | 1.4013          | 0.2558   |
| 2.0035        | 3.0   | 18   | 1.4133          | 0.2558   |
| 1.4085        | 4.0   | 24   | 1.4118          | 0.2558   |
| 1.3752        | 5.0   | 30   | 1.3892          | 0.4419   |
| 1.3752        | 6.0   | 36   | 1.3795          | 0.2791   |
| 1.3345        | 7.0   | 42   | 1.3859          | 0.3256   |
| 1.3345        | 8.0   | 48   | 1.3535          | 0.3023   |
| 1.2957        | 9.0   | 54   | 1.3373          | 0.4419   |
| 1.2266        | 10.0  | 60   | 1.3000          | 0.4651   |
| 1.2266        | 11.0  | 66   | 1.2541          | 0.4651   |
| 1.2119        | 12.0  | 72   | 1.3081          | 0.3023   |
| 1.2119        | 13.0  | 78   | 1.3255          | 0.4186   |
| 1.1642        | 14.0  | 84   | 1.2598          | 0.4419   |
| 1.0863        | 15.0  | 90   | 1.3634          | 0.4651   |
| 1.0863        | 16.0  | 96   | 1.2765          | 0.4419   |
| 1.0739        | 17.0  | 102  | 1.2557          | 0.4651   |
| 1.0739        | 18.0  | 108  | 1.3482          | 0.4651   |
| 0.9189        | 19.0  | 114  | 1.2441          | 0.5814   |
| 0.9333        | 20.0  | 120  | 1.3137          | 0.5116   |
| 0.9333        | 21.0  | 126  | 1.4928          | 0.5116   |
| 0.7984        | 22.0  | 132  | 1.4587          | 0.4419   |
| 0.7984        | 23.0  | 138  | 1.4263          | 0.4884   |
| 0.7474        | 24.0  | 144  | 1.3937          | 0.5116   |
| 0.6261        | 25.0  | 150  | 1.7138          | 0.4651   |
| 0.6261        | 26.0  | 156  | 1.9139          | 0.3488   |
| 0.6149        | 27.0  | 162  | 2.2211          | 0.4419   |
| 0.6149        | 28.0  | 168  | 2.6636          | 0.3953   |
| 0.5568        | 29.0  | 174  | 2.0456          | 0.4419   |
| 0.5749        | 30.0  | 180  | 2.1341          | 0.3488   |
| 0.5749        | 31.0  | 186  | 2.6940          | 0.4651   |
| 0.5955        | 32.0  | 192  | 2.3824          | 0.4419   |
| 0.5955        | 33.0  | 198  | 2.3420          | 0.4419   |
| 0.4884        | 34.0  | 204  | 2.5519          | 0.5116   |
| 0.4591        | 35.0  | 210  | 2.4344          | 0.4186   |
| 0.4591        | 36.0  | 216  | 2.3412          | 0.5116   |
| 0.3989        | 37.0  | 222  | 2.6657          | 0.5116   |
| 0.3989        | 38.0  | 228  | 3.0833          | 0.5116   |
| 0.2794        | 39.0  | 234  | 2.9344          | 0.5349   |
| 0.252         | 40.0  | 240  | 3.0820          | 0.5349   |
| 0.252         | 41.0  | 246  | 3.2011          | 0.5116   |
| 0.2307        | 42.0  | 252  | 3.2060          | 0.5116   |
| 0.2307        | 43.0  | 258  | 3.2060          | 0.5116   |
| 0.2027        | 44.0  | 264  | 3.2060          | 0.5116   |
| 0.2023        | 45.0  | 270  | 3.2060          | 0.5116   |
| 0.2023        | 46.0  | 276  | 3.2060          | 0.5116   |
| 0.2295        | 47.0  | 282  | 3.2060          | 0.5116   |
| 0.2295        | 48.0  | 288  | 3.2060          | 0.5116   |
| 0.216         | 49.0  | 294  | 3.2060          | 0.5116   |
| 0.2238        | 50.0  | 300  | 3.2060          | 0.5116   |


### Framework versions

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