---
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_adamax_001_fold1
  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: 0.4444444444444444
---

<!-- 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_adamax_001_fold1

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: 3.6981
- Accuracy: 0.4444

## 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    | 1.5800          | 0.2444   |
| 2.0893        | 2.0   | 12   | 1.3869          | 0.3333   |
| 2.0893        | 3.0   | 18   | 1.3893          | 0.2444   |
| 1.4148        | 4.0   | 24   | 1.3366          | 0.3333   |
| 1.3117        | 5.0   | 30   | 1.3938          | 0.2889   |
| 1.3117        | 6.0   | 36   | 1.5221          | 0.3778   |
| 1.2096        | 7.0   | 42   | 1.7519          | 0.4222   |
| 1.2096        | 8.0   | 48   | 1.6213          | 0.2444   |
| 1.1162        | 9.0   | 54   | 1.4721          | 0.2889   |
| 1.0871        | 10.0  | 60   | 1.3748          | 0.3333   |
| 1.0871        | 11.0  | 66   | 1.7274          | 0.4667   |
| 1.0753        | 12.0  | 72   | 3.1976          | 0.3333   |
| 1.0753        | 13.0  | 78   | 1.3693          | 0.4222   |
| 1.2635        | 14.0  | 84   | 1.5090          | 0.3778   |
| 0.9248        | 15.0  | 90   | 1.4886          | 0.5333   |
| 0.9248        | 16.0  | 96   | 1.4765          | 0.4444   |
| 0.8798        | 17.0  | 102  | 1.9348          | 0.4222   |
| 0.8798        | 18.0  | 108  | 1.3064          | 0.4667   |
| 0.8666        | 19.0  | 114  | 1.5832          | 0.4444   |
| 0.7171        | 20.0  | 120  | 2.1360          | 0.4444   |
| 0.7171        | 21.0  | 126  | 1.7636          | 0.4444   |
| 0.7588        | 22.0  | 132  | 2.3529          | 0.3556   |
| 0.7588        | 23.0  | 138  | 2.7880          | 0.3556   |
| 0.6002        | 24.0  | 144  | 1.8764          | 0.4222   |
| 0.5204        | 25.0  | 150  | 2.9921          | 0.4      |
| 0.5204        | 26.0  | 156  | 2.6311          | 0.4444   |
| 0.4748        | 27.0  | 162  | 2.1490          | 0.4889   |
| 0.4748        | 28.0  | 168  | 2.4874          | 0.4889   |
| 0.4423        | 29.0  | 174  | 1.9273          | 0.4444   |
| 0.3826        | 30.0  | 180  | 3.0375          | 0.4222   |
| 0.3826        | 31.0  | 186  | 3.0775          | 0.4667   |
| 0.3486        | 32.0  | 192  | 2.5400          | 0.4      |
| 0.3486        | 33.0  | 198  | 3.1424          | 0.4444   |
| 0.3116        | 34.0  | 204  | 2.9144          | 0.4667   |
| 0.2168        | 35.0  | 210  | 3.3792          | 0.4444   |
| 0.2168        | 36.0  | 216  | 3.7895          | 0.4667   |
| 0.2383        | 37.0  | 222  | 3.1800          | 0.4889   |
| 0.2383        | 38.0  | 228  | 3.3532          | 0.4444   |
| 0.1463        | 39.0  | 234  | 3.6524          | 0.4222   |
| 0.1584        | 40.0  | 240  | 3.6346          | 0.4444   |
| 0.1584        | 41.0  | 246  | 3.6838          | 0.4444   |
| 0.1431        | 42.0  | 252  | 3.6981          | 0.4444   |
| 0.1431        | 43.0  | 258  | 3.6981          | 0.4444   |
| 0.1356        | 44.0  | 264  | 3.6981          | 0.4444   |
| 0.139         | 45.0  | 270  | 3.6981          | 0.4444   |
| 0.139         | 46.0  | 276  | 3.6981          | 0.4444   |
| 0.1502        | 47.0  | 282  | 3.6981          | 0.4444   |
| 0.1502        | 48.0  | 288  | 3.6981          | 0.4444   |
| 0.128         | 49.0  | 294  | 3.6981          | 0.4444   |
| 0.1474        | 50.0  | 300  | 3.6981          | 0.4444   |


### Framework versions

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