
<!-- 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_5x_deit_tiny_rms_001_fold1

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: 3.8348
- Accuracy: 0.3333

## 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 |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 1.8114        | 1.0   | 27   | 1.4619          | 0.2444   |
| 1.4983        | 2.0   | 54   | 1.4843          | 0.2444   |
| 1.4403        | 3.0   | 81   | 1.4156          | 0.2667   |
| 1.4435        | 4.0   | 108  | 1.5095          | 0.2667   |
| 1.2795        | 5.0   | 135  | 1.3446          | 0.3778   |
| 1.2205        | 6.0   | 162  | 1.1283          | 0.4222   |
| 1.2341        | 7.0   | 189  | 1.3172          | 0.4      |
| 1.155         | 8.0   | 216  | 1.3274          | 0.4222   |
| 1.0235        | 9.0   | 243  | 1.2899          | 0.3778   |
| 0.9879        | 10.0  | 270  | 1.2041          | 0.4444   |
| 1.0325        | 11.0  | 297  | 1.5730          | 0.3778   |
| 0.8868        | 12.0  | 324  | 1.2430          | 0.4      |
| 0.8741        | 13.0  | 351  | 1.6314          | 0.3778   |
| 0.8285        | 14.0  | 378  | 1.0662          | 0.4444   |
| 0.8157        | 15.0  | 405  | 1.2999          | 0.4      |
| 0.7186        | 16.0  | 432  | 1.5919          | 0.3778   |
| 0.7002        | 17.0  | 459  | 1.4465          | 0.3778   |
| 0.8279        | 18.0  | 486  | 1.8180          | 0.3556   |
| 0.6829        | 19.0  | 513  | 1.3642          | 0.4      |
| 0.667         | 20.0  | 540  | 1.9605          | 0.3556   |
| 0.5824        | 21.0  | 567  | 1.2514          | 0.4222   |
| 0.631         | 22.0  | 594  | 2.5624          | 0.3556   |
| 0.6153        | 23.0  | 621  | 1.7882          | 0.3778   |
| 0.5567        | 24.0  | 648  | 1.6537          | 0.3778   |
| 0.6329        | 25.0  | 675  | 1.9454          | 0.3556   |
| 0.6303        | 26.0  | 702  | 2.1679          | 0.3778   |
| 0.5312        | 27.0  | 729  | 1.9261          | 0.3778   |
| 0.4661        | 28.0  | 756  | 2.5489          | 0.3556   |
| 0.585         | 29.0  | 783  | 2.5635          | 0.3556   |
| 0.533         | 30.0  | 810  | 2.2939          | 0.3778   |
| 0.4346        | 31.0  | 837  | 2.1685          | 0.4      |
| 0.5403        | 32.0  | 864  | 2.2296          | 0.3778   |
| 0.4604        | 33.0  | 891  | 2.2806          | 0.3778   |
| 0.4901        | 34.0  | 918  | 2.7290          | 0.3556   |
| 0.378         | 35.0  | 945  | 2.3646          | 0.3556   |
| 0.3541        | 36.0  | 972  | 2.8569          | 0.3556   |
| 0.2793        | 37.0  | 999  | 2.5674          | 0.3778   |
| 0.3096        | 38.0  | 1026 | 3.0307          | 0.3778   |
| 0.1909        | 39.0  | 1053 | 2.9692          | 0.3778   |
| 0.2273        | 40.0  | 1080 | 2.9606          | 0.3778   |
| 0.1997        | 41.0  | 1107 | 2.9181          | 0.3111   |
| 0.1349        | 42.0  | 1134 | 3.0989          | 0.3333   |
| 0.1046        | 43.0  | 1161 | 3.2836          | 0.3778   |
| 0.0711        | 44.0  | 1188 | 3.7502          | 0.3556   |
| 0.0691        | 45.0  | 1215 | 3.7360          | 0.3333   |
| 0.037         | 46.0  | 1242 | 3.9008          | 0.3556   |
| 0.0363        | 47.0  | 1269 | 3.8159          | 0.3556   |
| 0.0263        | 48.0  | 1296 | 3.8260          | 0.3333   |
| 0.0176        | 49.0  | 1323 | 3.8348          | 0.3333   |
| 0.0375        | 50.0  | 1350 | 3.8348          | 0.3333   |


### Framework versions

- Transformers 4.35.2
- Pytorch 2.1.0+cu118
- Datasets 2.15.0
- Tokenizers 0.15.0

{"license": "apache-2.0", "tags": ["generated_from_trainer"], "datasets": ["imagefolder"], "metrics": ["accuracy"], "base_model": "facebook/deit-tiny-patch16-224", "model-index": [{"name": "hushem_5x_deit_tiny_rms_001_fold1", "results": [{"task": {"type": "image-classification", "name": "Image Classification"}, "dataset": {"name": "imagefolder", "type": "imagefolder", "config": "default", "split": "test", "args": "default"}, "metrics": [{"type": "accuracy", "value": 0.3333333333333333, "name": "Accuracy"}]}]}]}
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