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---
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_adamax_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: 0.5777777777777777
---

<!-- 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_adamax_001_fold2

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: 3.1828
- Accuracy: 0.5778

## 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    | 1.5039          | 0.2444   |
| 1.9347        | 2.0   | 12   | 1.3951          | 0.2444   |
| 1.9347        | 3.0   | 18   | 1.5970          | 0.2444   |
| 1.3507        | 4.0   | 24   | 1.5883          | 0.2444   |
| 1.2448        | 5.0   | 30   | 1.2899          | 0.3111   |
| 1.2448        | 6.0   | 36   | 1.2061          | 0.3333   |
| 1.0721        | 7.0   | 42   | 1.5421          | 0.4444   |
| 1.0721        | 8.0   | 48   | 1.5331          | 0.2667   |
| 1.0322        | 9.0   | 54   | 1.2467          | 0.4889   |
| 1.0027        | 10.0  | 60   | 1.1754          | 0.4667   |
| 1.0027        | 11.0  | 66   | 1.3260          | 0.4444   |
| 0.8782        | 12.0  | 72   | 1.4220          | 0.3778   |
| 0.8782        | 13.0  | 78   | 1.2909          | 0.3778   |
| 0.9336        | 14.0  | 84   | 1.2228          | 0.3778   |
| 0.8518        | 15.0  | 90   | 1.3127          | 0.4889   |
| 0.8518        | 16.0  | 96   | 1.2461          | 0.5111   |
| 0.6856        | 17.0  | 102  | 1.5495          | 0.5111   |
| 0.6856        | 18.0  | 108  | 1.4003          | 0.4444   |
| 0.6629        | 19.0  | 114  | 1.6481          | 0.5111   |
| 0.6106        | 20.0  | 120  | 1.4665          | 0.5111   |
| 0.6106        | 21.0  | 126  | 1.3091          | 0.4667   |
| 0.5404        | 22.0  | 132  | 1.6995          | 0.5333   |
| 0.5404        | 23.0  | 138  | 1.3819          | 0.4889   |
| 0.6208        | 24.0  | 144  | 1.4295          | 0.4667   |
| 0.3803        | 25.0  | 150  | 1.5233          | 0.4667   |
| 0.3803        | 26.0  | 156  | 1.8157          | 0.5778   |
| 0.3131        | 27.0  | 162  | 1.2837          | 0.5556   |
| 0.3131        | 28.0  | 168  | 1.8123          | 0.5111   |
| 0.2542        | 29.0  | 174  | 1.9185          | 0.5333   |
| 0.1524        | 30.0  | 180  | 1.7784          | 0.6      |
| 0.1524        | 31.0  | 186  | 2.2830          | 0.5333   |
| 0.0946        | 32.0  | 192  | 2.4060          | 0.5556   |
| 0.0946        | 33.0  | 198  | 2.8614          | 0.4889   |
| 0.1333        | 34.0  | 204  | 2.7119          | 0.5333   |
| 0.1824        | 35.0  | 210  | 2.7486          | 0.4667   |
| 0.1824        | 36.0  | 216  | 2.8911          | 0.5556   |
| 0.0482        | 37.0  | 222  | 2.9042          | 0.5556   |
| 0.0482        | 38.0  | 228  | 2.8283          | 0.5778   |
| 0.0366        | 39.0  | 234  | 3.0321          | 0.5778   |
| 0.051         | 40.0  | 240  | 3.1410          | 0.5778   |
| 0.051         | 41.0  | 246  | 3.1802          | 0.5778   |
| 0.0414        | 42.0  | 252  | 3.1828          | 0.5778   |
| 0.0414        | 43.0  | 258  | 3.1828          | 0.5778   |
| 0.0218        | 44.0  | 264  | 3.1828          | 0.5778   |
| 0.0134        | 45.0  | 270  | 3.1828          | 0.5778   |
| 0.0134        | 46.0  | 276  | 3.1828          | 0.5778   |
| 0.0227        | 47.0  | 282  | 3.1828          | 0.5778   |
| 0.0227        | 48.0  | 288  | 3.1828          | 0.5778   |
| 0.0135        | 49.0  | 294  | 3.1828          | 0.5778   |
| 0.0221        | 50.0  | 300  | 3.1828          | 0.5778   |


### Framework versions

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