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# hushem_1x_deit_base_adamax_00001_fold1

This model is a fine-tuned version of [facebook/deit-base-patch16-224](https://huggingface.co/facebook/deit-base-patch16-224) on the imagefolder dataset.
It achieves the following results on the evaluation set:
- Loss: 1.0627
- Accuracy: 0.6

## 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 |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| No log        | 1.0   | 6    | 1.3659          | 0.3111   |
| 1.3159        | 2.0   | 12   | 1.3205          | 0.3556   |
| 1.3159        | 3.0   | 18   | 1.2809          | 0.4667   |
| 1.085         | 4.0   | 24   | 1.2473          | 0.4222   |
| 0.9044        | 5.0   | 30   | 1.2084          | 0.4444   |
| 0.9044        | 6.0   | 36   | 1.1791          | 0.4667   |
| 0.7189        | 7.0   | 42   | 1.1564          | 0.4889   |
| 0.7189        | 8.0   | 48   | 1.1293          | 0.5333   |
| 0.581         | 9.0   | 54   | 1.1065          | 0.5333   |
| 0.4841        | 10.0  | 60   | 1.0861          | 0.5111   |
| 0.4841        | 11.0  | 66   | 1.0742          | 0.4889   |
| 0.3956        | 12.0  | 72   | 1.0532          | 0.5333   |
| 0.3956        | 13.0  | 78   | 1.0465          | 0.5333   |
| 0.3295        | 14.0  | 84   | 1.0354          | 0.5556   |
| 0.2581        | 15.0  | 90   | 1.0353          | 0.5333   |
| 0.2581        | 16.0  | 96   | 1.0286          | 0.5111   |
| 0.2137        | 17.0  | 102  | 1.0149          | 0.5333   |
| 0.2137        | 18.0  | 108  | 1.0065          | 0.6      |
| 0.1577        | 19.0  | 114  | 1.0262          | 0.5556   |
| 0.1394        | 20.0  | 120  | 1.0304          | 0.5556   |
| 0.1394        | 21.0  | 126  | 1.0253          | 0.5556   |
| 0.1165        | 22.0  | 132  | 1.0218          | 0.6      |
| 0.1165        | 23.0  | 138  | 1.0233          | 0.6      |
| 0.0915        | 24.0  | 144  | 1.0232          | 0.6      |
| 0.0772        | 25.0  | 150  | 1.0205          | 0.6      |
| 0.0772        | 26.0  | 156  | 1.0346          | 0.6      |
| 0.0656        | 27.0  | 162  | 1.0276          | 0.6      |
| 0.0656        | 28.0  | 168  | 1.0281          | 0.6      |
| 0.0525        | 29.0  | 174  | 1.0381          | 0.6      |
| 0.0442        | 30.0  | 180  | 1.0380          | 0.6      |
| 0.0442        | 31.0  | 186  | 1.0415          | 0.6      |
| 0.0405        | 32.0  | 192  | 1.0435          | 0.6      |
| 0.0405        | 33.0  | 198  | 1.0498          | 0.6      |
| 0.0407        | 34.0  | 204  | 1.0508          | 0.6      |
| 0.0336        | 35.0  | 210  | 1.0488          | 0.6      |
| 0.0336        | 36.0  | 216  | 1.0496          | 0.6      |
| 0.0325        | 37.0  | 222  | 1.0547          | 0.6      |
| 0.0325        | 38.0  | 228  | 1.0616          | 0.6      |
| 0.0286        | 39.0  | 234  | 1.0647          | 0.6      |
| 0.0307        | 40.0  | 240  | 1.0644          | 0.6      |
| 0.0307        | 41.0  | 246  | 1.0630          | 0.6      |
| 0.0285        | 42.0  | 252  | 1.0627          | 0.6      |
| 0.0285        | 43.0  | 258  | 1.0627          | 0.6      |
| 0.0286        | 44.0  | 264  | 1.0627          | 0.6      |
| 0.0294        | 45.0  | 270  | 1.0627          | 0.6      |
| 0.0294        | 46.0  | 276  | 1.0627          | 0.6      |
| 0.0294        | 47.0  | 282  | 1.0627          | 0.6      |
| 0.0294        | 48.0  | 288  | 1.0627          | 0.6      |
| 0.0276        | 49.0  | 294  | 1.0627          | 0.6      |
| 0.0301        | 50.0  | 300  | 1.0627          | 0.6      |


### Framework versions

- Transformers 4.35.2
- Pytorch 2.1.0+cu118
- Datasets 2.14.7
- Tokenizers 0.15.0

{"license": "apache-2.0", "tags": ["generated_from_trainer"], "datasets": ["imagefolder"], "metrics": ["accuracy"], "base_model": "facebook/deit-base-patch16-224", "model-index": [{"name": "hushem_1x_deit_base_adamax_00001_fold1", "results": [{"task": {"type": "image-classification", "name": "Image Classification"}, "dataset": {"name": "imagefolder", "type": "imagefolder", "config": "default", "split": "test", "args": "default"}, "metrics": [{"type": "accuracy", "value": 0.6, "name": "Accuracy"}]}]}]}
transformers tensorboard safetensors vit image-classification generated_from_trainer dataset:imagefolder base_model:facebook/deit-base-patch16-224 license:apache-2.0 model-index autotrain_compatible endpoints_compatible region:us