---
license: apache-2.0
base_model: facebook/deit-tiny-patch16-224
tags:
- generated_from_trainer
datasets:
- imagefolder
metrics:
- accuracy
model-index:
- name: hushem_1x_deit_tiny_rms_001_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: 0.4186046511627907
---

<!-- 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_deit_tiny_rms_001_fold3

This model is a fine-tuned version of [facebook/deit-tiny-patch16-224](https://huggingface.co/facebook/deit-tiny-patch16-224) on the imagefolder dataset.
It achieves the following results on the evaluation set:
- Loss: 1.1536
- Accuracy: 0.4186

## 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    | 3.8148          | 0.2558   |
| 4.0682        | 2.0   | 12   | 1.5106          | 0.2558   |
| 4.0682        | 3.0   | 18   | 2.1015          | 0.2558   |
| 1.8697        | 4.0   | 24   | 2.1521          | 0.2558   |
| 1.6204        | 5.0   | 30   | 2.0540          | 0.2558   |
| 1.6204        | 6.0   | 36   | 1.4487          | 0.2558   |
| 1.5557        | 7.0   | 42   | 1.5322          | 0.2326   |
| 1.5557        | 8.0   | 48   | 1.6480          | 0.2558   |
| 1.5276        | 9.0   | 54   | 1.5085          | 0.2558   |
| 1.4446        | 10.0  | 60   | 1.3921          | 0.2558   |
| 1.4446        | 11.0  | 66   | 1.5703          | 0.2558   |
| 1.4728        | 12.0  | 72   | 1.3608          | 0.2791   |
| 1.4728        | 13.0  | 78   | 1.4250          | 0.3488   |
| 1.3652        | 14.0  | 84   | 1.4495          | 0.2558   |
| 1.3593        | 15.0  | 90   | 1.4182          | 0.3023   |
| 1.3593        | 16.0  | 96   | 1.5418          | 0.3023   |
| 1.2943        | 17.0  | 102  | 1.4454          | 0.3256   |
| 1.2943        | 18.0  | 108  | 1.5941          | 0.3721   |
| 1.2915        | 19.0  | 114  | 1.4889          | 0.2558   |
| 1.2591        | 20.0  | 120  | 1.3804          | 0.3488   |
| 1.2591        | 21.0  | 126  | 1.8125          | 0.2558   |
| 1.2263        | 22.0  | 132  | 1.4098          | 0.3023   |
| 1.2263        | 23.0  | 138  | 1.4818          | 0.2558   |
| 1.1885        | 24.0  | 144  | 1.4257          | 0.3721   |
| 1.1814        | 25.0  | 150  | 1.4317          | 0.3023   |
| 1.1814        | 26.0  | 156  | 1.3854          | 0.3488   |
| 1.1163        | 27.0  | 162  | 1.9054          | 0.3256   |
| 1.1163        | 28.0  | 168  | 1.3109          | 0.3488   |
| 1.0609        | 29.0  | 174  | 1.3896          | 0.3488   |
| 1.1038        | 30.0  | 180  | 1.3466          | 0.3256   |
| 1.1038        | 31.0  | 186  | 1.3101          | 0.3256   |
| 1.0099        | 32.0  | 192  | 1.2865          | 0.3721   |
| 1.0099        | 33.0  | 198  | 1.2846          | 0.3721   |
| 1.0297        | 34.0  | 204  | 1.2587          | 0.4186   |
| 0.964         | 35.0  | 210  | 1.2832          | 0.3953   |
| 0.964         | 36.0  | 216  | 1.1929          | 0.3721   |
| 0.9335        | 37.0  | 222  | 1.2162          | 0.3953   |
| 0.9335        | 38.0  | 228  | 1.1906          | 0.4419   |
| 0.8668        | 39.0  | 234  | 1.1859          | 0.4186   |
| 0.8296        | 40.0  | 240  | 1.1516          | 0.4884   |
| 0.8296        | 41.0  | 246  | 1.1577          | 0.4651   |
| 0.8332        | 42.0  | 252  | 1.1536          | 0.4186   |
| 0.8332        | 43.0  | 258  | 1.1536          | 0.4186   |
| 0.8289        | 44.0  | 264  | 1.1536          | 0.4186   |
| 0.8217        | 45.0  | 270  | 1.1536          | 0.4186   |
| 0.8217        | 46.0  | 276  | 1.1536          | 0.4186   |
| 0.8205        | 47.0  | 282  | 1.1536          | 0.4186   |
| 0.8205        | 48.0  | 288  | 1.1536          | 0.4186   |
| 0.8548        | 49.0  | 294  | 1.1536          | 0.4186   |
| 0.8042        | 50.0  | 300  | 1.1536          | 0.4186   |


### Framework versions

- Transformers 4.35.0
- Pytorch 2.1.0+cu118
- Datasets 2.14.6
- Tokenizers 0.14.1