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# hushem_40x_deit_small_sgd_00001_fold5

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: 1.5176
- Accuracy: 0.3171

## 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: 1e-05
- 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 |
|:-------------:|:-----:|:-----:|:---------------:|:--------:|
| 1.9948        | 1.0   | 220   | 1.7324          | 0.2683   |
| 1.9668        | 2.0   | 440   | 1.7170          | 0.2683   |
| 1.7569        | 3.0   | 660   | 1.7024          | 0.2683   |
| 1.8204        | 4.0   | 880   | 1.6885          | 0.2683   |
| 1.8992        | 5.0   | 1100  | 1.6754          | 0.2683   |
| 1.8203        | 6.0   | 1320  | 1.6629          | 0.2683   |
| 1.8006        | 7.0   | 1540  | 1.6512          | 0.2683   |
| 1.746         | 8.0   | 1760  | 1.6401          | 0.2683   |
| 1.7509        | 9.0   | 1980  | 1.6297          | 0.2683   |
| 1.7973        | 10.0  | 2200  | 1.6200          | 0.2683   |
| 1.7248        | 11.0  | 2420  | 1.6109          | 0.2683   |
| 1.5895        | 12.0  | 2640  | 1.6025          | 0.2683   |
| 1.6708        | 13.0  | 2860  | 1.5947          | 0.2683   |
| 1.5672        | 14.0  | 3080  | 1.5875          | 0.2683   |
| 1.6734        | 15.0  | 3300  | 1.5810          | 0.2683   |
| 1.6377        | 16.0  | 3520  | 1.5749          | 0.2683   |
| 1.5807        | 17.0  | 3740  | 1.5693          | 0.2683   |
| 1.6065        | 18.0  | 3960  | 1.5643          | 0.2439   |
| 1.5952        | 19.0  | 4180  | 1.5597          | 0.2439   |
| 1.6236        | 20.0  | 4400  | 1.5555          | 0.2439   |
| 1.6357        | 21.0  | 4620  | 1.5517          | 0.2439   |
| 1.5866        | 22.0  | 4840  | 1.5483          | 0.2439   |
| 1.546         | 23.0  | 5060  | 1.5451          | 0.2439   |
| 1.5341        | 24.0  | 5280  | 1.5423          | 0.2683   |
| 1.5615        | 25.0  | 5500  | 1.5397          | 0.2683   |
| 1.5768        | 26.0  | 5720  | 1.5373          | 0.2683   |
| 1.5024        | 27.0  | 5940  | 1.5352          | 0.2683   |
| 1.5377        | 28.0  | 6160  | 1.5332          | 0.2683   |
| 1.5225        | 29.0  | 6380  | 1.5314          | 0.2683   |
| 1.5464        | 30.0  | 6600  | 1.5298          | 0.2683   |
| 1.5869        | 31.0  | 6820  | 1.5284          | 0.2683   |
| 1.5384        | 32.0  | 7040  | 1.5270          | 0.2683   |
| 1.5241        | 33.0  | 7260  | 1.5258          | 0.2683   |
| 1.5029        | 34.0  | 7480  | 1.5247          | 0.2683   |
| 1.4813        | 35.0  | 7700  | 1.5237          | 0.2927   |
| 1.4892        | 36.0  | 7920  | 1.5227          | 0.2927   |
| 1.5014        | 37.0  | 8140  | 1.5219          | 0.2927   |
| 1.5037        | 38.0  | 8360  | 1.5212          | 0.2927   |
| 1.4775        | 39.0  | 8580  | 1.5205          | 0.2927   |
| 1.4967        | 40.0  | 8800  | 1.5200          | 0.2927   |
| 1.4438        | 41.0  | 9020  | 1.5195          | 0.2927   |
| 1.4692        | 42.0  | 9240  | 1.5190          | 0.2927   |
| 1.5023        | 43.0  | 9460  | 1.5187          | 0.2927   |
| 1.4883        | 44.0  | 9680  | 1.5184          | 0.2927   |
| 1.4515        | 45.0  | 9900  | 1.5181          | 0.2927   |
| 1.4741        | 46.0  | 10120 | 1.5179          | 0.3171   |
| 1.4857        | 47.0  | 10340 | 1.5178          | 0.3171   |
| 1.4547        | 48.0  | 10560 | 1.5177          | 0.3171   |
| 1.45          | 49.0  | 10780 | 1.5176          | 0.3171   |
| 1.5056        | 50.0  | 11000 | 1.5176          | 0.3171   |


### Framework versions

- Transformers 4.32.1
- Pytorch 2.1.0+cu121
- Datasets 2.12.0
- Tokenizers 0.13.2

{"license": "apache-2.0", "tags": ["generated_from_trainer"], "datasets": ["imagefolder"], "metrics": ["accuracy"], "base_model": "facebook/deit-small-patch16-224", "model-index": [{"name": "hushem_40x_deit_small_sgd_00001_fold5", "results": [{"task": {"type": "image-classification", "name": "Image Classification"}, "dataset": {"name": "imagefolder", "type": "imagefolder", "config": "default", "split": "test", "args": "default"}, "metrics": [{"type": "accuracy", "value": 0.3170731707317073, "name": "Accuracy"}]}]}]}
transformers pytorch 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