transformers tensorboard safetensors vit image-classification generated_from_trainer dataset:imagefolder base_model:facebook/deit-small-patch16-224 license:apache-2.0 model-index autotrain_compatible endpoints_compatible region:us
---
license: apache-2.0
base_model: facebook/deit-small-patch16-224
tags:
- generated_from_trainer
datasets:
- imagefolder
metrics:
- accuracy
model-index:
- name: hushem_1x_deit_small_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: 0.27906976744186046
---

<!-- 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_small_rms_001_fold3

This model is a fine-tuned version of [facebook/deit-small-patch16-224](https://huggingface.co/facebook/deit-small-patch16-224) on the imagefolder dataset.
It achieves the following results on the evaluation set:
- Loss: 1.4032
- Accuracy: 0.2791

## 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    | 7.8981          | 0.2558   |
| 4.5842        | 2.0   | 12   | 2.6640          | 0.2558   |
| 4.5842        | 3.0   | 18   | 1.6613          | 0.2558   |
| 1.9697        | 4.0   | 24   | 1.9731          | 0.2558   |
| 1.667         | 5.0   | 30   | 1.6222          | 0.2558   |
| 1.667         | 6.0   | 36   | 1.5650          | 0.2558   |
| 1.5493        | 7.0   | 42   | 1.7126          | 0.2326   |
| 1.5493        | 8.0   | 48   | 1.7198          | 0.2558   |
| 1.5158        | 9.0   | 54   | 1.4567          | 0.2558   |
| 1.4878        | 10.0  | 60   | 1.4210          | 0.2558   |
| 1.4878        | 11.0  | 66   | 1.4952          | 0.2558   |
| 1.4957        | 12.0  | 72   | 1.3917          | 0.2558   |
| 1.4957        | 13.0  | 78   | 1.4819          | 0.2558   |
| 1.4611        | 14.0  | 84   | 1.4450          | 0.2558   |
| 1.4163        | 15.0  | 90   | 1.4214          | 0.2558   |
| 1.4163        | 16.0  | 96   | 1.4612          | 0.2326   |
| 1.4195        | 17.0  | 102  | 1.4036          | 0.2558   |
| 1.4195        | 18.0  | 108  | 1.5088          | 0.2558   |
| 1.4297        | 19.0  | 114  | 1.4009          | 0.2558   |
| 1.4404        | 20.0  | 120  | 1.3994          | 0.2558   |
| 1.4404        | 21.0  | 126  | 1.4434          | 0.2326   |
| 1.4296        | 22.0  | 132  | 1.4098          | 0.2326   |
| 1.4296        | 23.0  | 138  | 1.4135          | 0.2558   |
| 1.4052        | 24.0  | 144  | 1.4035          | 0.3023   |
| 1.3982        | 25.0  | 150  | 1.3795          | 0.3023   |
| 1.3982        | 26.0  | 156  | 1.3917          | 0.2558   |
| 1.358         | 27.0  | 162  | 1.5442          | 0.2326   |
| 1.358         | 28.0  | 168  | 1.3715          | 0.3256   |
| 1.3753        | 29.0  | 174  | 1.4626          | 0.2791   |
| 1.3737        | 30.0  | 180  | 1.4033          | 0.3023   |
| 1.3737        | 31.0  | 186  | 1.4221          | 0.3488   |
| 1.2553        | 32.0  | 192  | 1.5495          | 0.2791   |
| 1.2553        | 33.0  | 198  | 1.4332          | 0.2791   |
| 1.2089        | 34.0  | 204  | 1.4065          | 0.2791   |
| 1.2158        | 35.0  | 210  | 1.4613          | 0.2791   |
| 1.2158        | 36.0  | 216  | 1.4360          | 0.3256   |
| 1.1733        | 37.0  | 222  | 1.4966          | 0.3256   |
| 1.1733        | 38.0  | 228  | 1.4024          | 0.2791   |
| 1.1359        | 39.0  | 234  | 1.3752          | 0.2791   |
| 1.1239        | 40.0  | 240  | 1.4121          | 0.3023   |
| 1.1239        | 41.0  | 246  | 1.4047          | 0.2791   |
| 1.0932        | 42.0  | 252  | 1.4032          | 0.2791   |
| 1.0932        | 43.0  | 258  | 1.4032          | 0.2791   |
| 1.0875        | 44.0  | 264  | 1.4032          | 0.2791   |
| 1.102         | 45.0  | 270  | 1.4032          | 0.2791   |
| 1.102         | 46.0  | 276  | 1.4032          | 0.2791   |
| 1.0783        | 47.0  | 282  | 1.4032          | 0.2791   |
| 1.0783        | 48.0  | 288  | 1.4032          | 0.2791   |
| 1.1264        | 49.0  | 294  | 1.4032          | 0.2791   |
| 1.0785        | 50.0  | 300  | 1.4032          | 0.2791   |


### Framework versions

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