transformers tensorboard safetensors vit image-classification generated_from_trainer dataset:imagefolder base_model:facebook/deit-tiny-patch16-224 license:apache-2.0 model-index autotrain_compatible endpoints_compatible region:us
---
license: apache-2.0
base_model: facebook/deit-tiny-patch16-224
tags:
- generated_from_trainer
datasets:
- imagefolder
metrics:
- accuracy
model-index:
- name: hushem_conflu_deneme_f1
  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: 0.4222222222222222
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# hushem_conflu_deneme_f1

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: 4.1726
- Accuracy: 0.4222

## 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    | 1.4791          | 0.3333   |
| 2.0372        | 2.0   | 12   | 1.3991          | 0.2444   |
| 2.0372        | 3.0   | 18   | 1.9327          | 0.2444   |
| 1.2524        | 4.0   | 24   | 1.4584          | 0.3556   |
| 1.1547        | 5.0   | 30   | 1.3317          | 0.3556   |
| 1.1547        | 6.0   | 36   | 1.9319          | 0.3333   |
| 0.8748        | 7.0   | 42   | 1.3603          | 0.4222   |
| 0.8748        | 8.0   | 48   | 1.0979          | 0.5333   |
| 0.8902        | 9.0   | 54   | 1.9103          | 0.4222   |
| 0.6653        | 10.0  | 60   | 2.0004          | 0.3778   |
| 0.6653        | 11.0  | 66   | 2.0962          | 0.4      |
| 0.5253        | 12.0  | 72   | 1.2246          | 0.5111   |
| 0.5253        | 13.0  | 78   | 1.6731          | 0.4889   |
| 0.5223        | 14.0  | 84   | 2.1516          | 0.4      |
| 0.2968        | 15.0  | 90   | 2.5065          | 0.4      |
| 0.2968        | 16.0  | 96   | 2.0657          | 0.4444   |
| 0.4394        | 17.0  | 102  | 1.5876          | 0.4667   |
| 0.4394        | 18.0  | 108  | 2.1433          | 0.4      |
| 0.2725        | 19.0  | 114  | 1.4220          | 0.5556   |
| 0.1718        | 20.0  | 120  | 1.7558          | 0.4667   |
| 0.1718        | 21.0  | 126  | 2.3734          | 0.4667   |
| 0.0642        | 22.0  | 132  | 2.9683          | 0.4667   |
| 0.0642        | 23.0  | 138  | 2.9217          | 0.4889   |
| 0.0435        | 24.0  | 144  | 3.4732          | 0.4667   |
| 0.0409        | 25.0  | 150  | 3.8797          | 0.4667   |
| 0.0409        | 26.0  | 156  | 4.3387          | 0.4444   |
| 0.0418        | 27.0  | 162  | 3.9839          | 0.4444   |
| 0.0418        | 28.0  | 168  | 4.5122          | 0.4444   |
| 0.0035        | 29.0  | 174  | 4.2517          | 0.4444   |
| 0.0006        | 30.0  | 180  | 3.9958          | 0.4444   |
| 0.0006        | 31.0  | 186  | 3.9647          | 0.4444   |
| 0.0004        | 32.0  | 192  | 3.9928          | 0.4444   |
| 0.0004        | 33.0  | 198  | 4.0376          | 0.4222   |
| 0.0003        | 34.0  | 204  | 4.0736          | 0.4222   |
| 0.0002        | 35.0  | 210  | 4.1046          | 0.4222   |
| 0.0002        | 36.0  | 216  | 4.1284          | 0.4222   |
| 0.0002        | 37.0  | 222  | 4.1466          | 0.4222   |
| 0.0002        | 38.0  | 228  | 4.1585          | 0.4222   |
| 0.0002        | 39.0  | 234  | 4.1664          | 0.4222   |
| 0.0002        | 40.0  | 240  | 4.1704          | 0.4222   |
| 0.0002        | 41.0  | 246  | 4.1721          | 0.4222   |
| 0.0002        | 42.0  | 252  | 4.1726          | 0.4222   |
| 0.0002        | 43.0  | 258  | 4.1726          | 0.4222   |
| 0.0002        | 44.0  | 264  | 4.1726          | 0.4222   |
| 0.0002        | 45.0  | 270  | 4.1726          | 0.4222   |
| 0.0002        | 46.0  | 276  | 4.1726          | 0.4222   |
| 0.0002        | 47.0  | 282  | 4.1726          | 0.4222   |
| 0.0002        | 48.0  | 288  | 4.1726          | 0.4222   |
| 0.0002        | 49.0  | 294  | 4.1726          | 0.4222   |
| 0.0002        | 50.0  | 300  | 4.1726          | 0.4222   |


### Framework versions

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