---
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_fold4
  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: 0.5
---

<!-- 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_fold4

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: 3.2977
- Accuracy: 0.5

## 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    | 1.3978          | 0.2619   |
| 1.9888        | 2.0   | 12   | 1.3961          | 0.2381   |
| 1.9888        | 3.0   | 18   | 1.3839          | 0.2619   |
| 1.4109        | 4.0   | 24   | 1.3035          | 0.3095   |
| 1.3832        | 5.0   | 30   | 1.2707          | 0.5714   |
| 1.3832        | 6.0   | 36   | 1.2845          | 0.3571   |
| 1.4922        | 7.0   | 42   | 1.4385          | 0.2857   |
| 1.4922        | 8.0   | 48   | 1.2908          | 0.2619   |
| 1.2776        | 9.0   | 54   | 1.3088          | 0.5238   |
| 1.269         | 10.0  | 60   | 1.2412          | 0.3333   |
| 1.269         | 11.0  | 66   | 1.1676          | 0.5238   |
| 1.2132        | 12.0  | 72   | 1.1566          | 0.4286   |
| 1.2132        | 13.0  | 78   | 1.0746          | 0.5714   |
| 1.115         | 14.0  | 84   | 1.2329          | 0.4286   |
| 1.1413        | 15.0  | 90   | 1.1499          | 0.4048   |
| 1.1413        | 16.0  | 96   | 1.0494          | 0.5476   |
| 0.9563        | 17.0  | 102  | 0.9577          | 0.5238   |
| 0.9563        | 18.0  | 108  | 1.2486          | 0.4048   |
| 0.9343        | 19.0  | 114  | 1.2396          | 0.5238   |
| 0.8964        | 20.0  | 120  | 1.5448          | 0.3810   |
| 0.8964        | 21.0  | 126  | 1.6028          | 0.4762   |
| 0.826         | 22.0  | 132  | 1.0756          | 0.5714   |
| 0.826         | 23.0  | 138  | 1.4576          | 0.4048   |
| 0.6612        | 24.0  | 144  | 1.5635          | 0.4286   |
| 0.7361        | 25.0  | 150  | 1.2476          | 0.5952   |
| 0.7361        | 26.0  | 156  | 1.6591          | 0.4048   |
| 0.5674        | 27.0  | 162  | 1.5837          | 0.5238   |
| 0.5674        | 28.0  | 168  | 2.8490          | 0.4286   |
| 0.5637        | 29.0  | 174  | 1.9394          | 0.5714   |
| 0.4528        | 30.0  | 180  | 2.5319          | 0.4762   |
| 0.4528        | 31.0  | 186  | 1.8994          | 0.5714   |
| 0.455         | 32.0  | 192  | 2.3813          | 0.5476   |
| 0.455         | 33.0  | 198  | 2.3989          | 0.5      |
| 0.4317        | 34.0  | 204  | 2.5912          | 0.5      |
| 0.3921        | 35.0  | 210  | 2.8985          | 0.4762   |
| 0.3921        | 36.0  | 216  | 2.9682          | 0.5      |
| 0.3189        | 37.0  | 222  | 3.2291          | 0.5      |
| 0.3189        | 38.0  | 228  | 3.0818          | 0.5476   |
| 0.3067        | 39.0  | 234  | 3.1819          | 0.5238   |
| 0.2523        | 40.0  | 240  | 3.2200          | 0.4524   |
| 0.2523        | 41.0  | 246  | 3.2572          | 0.5      |
| 0.2633        | 42.0  | 252  | 3.2977          | 0.5      |
| 0.2633        | 43.0  | 258  | 3.2977          | 0.5      |
| 0.2304        | 44.0  | 264  | 3.2977          | 0.5      |
| 0.2585        | 45.0  | 270  | 3.2977          | 0.5      |
| 0.2585        | 46.0  | 276  | 3.2977          | 0.5      |
| 0.2417        | 47.0  | 282  | 3.2977          | 0.5      |
| 0.2417        | 48.0  | 288  | 3.2977          | 0.5      |
| 0.2307        | 49.0  | 294  | 3.2977          | 0.5      |
| 0.2495        | 50.0  | 300  | 3.2977          | 0.5      |


### Framework versions

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