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# HUSHEM_5x_beit_large_SGD_lr0001_fold3

This model is a fine-tuned version of [microsoft/beit-large-patch16-224](https://huggingface.co/microsoft/beit-large-patch16-224) on the imagefolder dataset.
It achieves the following results on the evaluation set:
- Loss: 1.3164
- 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: 0.0001
- train_batch_size: 16
- eval_batch_size: 16
- 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 |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 1.6144        | 1.0   | 55   | 1.5651          | 0.3023   |
| 1.7239        | 2.0   | 110  | 1.5414          | 0.2791   |
| 1.6894        | 3.0   | 165  | 1.5217          | 0.2791   |
| 1.5531        | 4.0   | 220  | 1.5049          | 0.2558   |
| 1.5484        | 5.0   | 275  | 1.4899          | 0.2093   |
| 1.5314        | 6.0   | 330  | 1.4756          | 0.2093   |
| 1.483         | 7.0   | 385  | 1.4633          | 0.2791   |
| 1.5089        | 8.0   | 440  | 1.4521          | 0.2791   |
| 1.4739        | 9.0   | 495  | 1.4418          | 0.2791   |
| 1.4215        | 10.0  | 550  | 1.4323          | 0.2791   |
| 1.4308        | 11.0  | 605  | 1.4233          | 0.2791   |
| 1.4458        | 12.0  | 660  | 1.4154          | 0.2791   |
| 1.3925        | 13.0  | 715  | 1.4081          | 0.2791   |
| 1.3972        | 14.0  | 770  | 1.4015          | 0.2791   |
| 1.3943        | 15.0  | 825  | 1.3950          | 0.2791   |
| 1.4282        | 16.0  | 880  | 1.3893          | 0.2791   |
| 1.4431        | 17.0  | 935  | 1.3839          | 0.2558   |
| 1.3493        | 18.0  | 990  | 1.3787          | 0.2558   |
| 1.3238        | 19.0  | 1045 | 1.3737          | 0.2558   |
| 1.3481        | 20.0  | 1100 | 1.3691          | 0.2558   |
| 1.3442        | 21.0  | 1155 | 1.3650          | 0.2558   |
| 1.4301        | 22.0  | 1210 | 1.3610          | 0.2558   |
| 1.3182        | 23.0  | 1265 | 1.3574          | 0.2558   |
| 1.4372        | 24.0  | 1320 | 1.3539          | 0.2558   |
| 1.3492        | 25.0  | 1375 | 1.3507          | 0.2558   |
| 1.3859        | 26.0  | 1430 | 1.3476          | 0.2558   |
| 1.4033        | 27.0  | 1485 | 1.3447          | 0.2558   |
| 1.3076        | 28.0  | 1540 | 1.3418          | 0.2558   |
| 1.3285        | 29.0  | 1595 | 1.3393          | 0.2558   |
| 1.3609        | 30.0  | 1650 | 1.3368          | 0.2558   |
| 1.2943        | 31.0  | 1705 | 1.3346          | 0.2558   |
| 1.3558        | 32.0  | 1760 | 1.3326          | 0.2558   |
| 1.3825        | 33.0  | 1815 | 1.3307          | 0.2558   |
| 1.407         | 34.0  | 1870 | 1.3289          | 0.2558   |
| 1.2586        | 35.0  | 1925 | 1.3273          | 0.2791   |
| 1.355         | 36.0  | 1980 | 1.3257          | 0.2791   |
| 1.3598        | 37.0  | 2035 | 1.3243          | 0.2791   |
| 1.3243        | 38.0  | 2090 | 1.3230          | 0.2791   |
| 1.2987        | 39.0  | 2145 | 1.3217          | 0.2791   |
| 1.3046        | 40.0  | 2200 | 1.3207          | 0.2791   |
| 1.2991        | 41.0  | 2255 | 1.3197          | 0.2791   |
| 1.3239        | 42.0  | 2310 | 1.3188          | 0.2791   |
| 1.2753        | 43.0  | 2365 | 1.3182          | 0.2791   |
| 1.3379        | 44.0  | 2420 | 1.3176          | 0.2791   |
| 1.3151        | 45.0  | 2475 | 1.3172          | 0.2791   |
| 1.2939        | 46.0  | 2530 | 1.3168          | 0.2791   |
| 1.2302        | 47.0  | 2585 | 1.3166          | 0.2791   |
| 1.2811        | 48.0  | 2640 | 1.3164          | 0.2791   |
| 1.2916        | 49.0  | 2695 | 1.3164          | 0.2791   |
| 1.2874        | 50.0  | 2750 | 1.3164          | 0.2791   |


### Framework versions

- Transformers 4.32.1
- Pytorch 2.0.1
- Datasets 2.12.0
- Tokenizers 0.13.2

{"license": "apache-2.0", "tags": ["generated_from_trainer"], "datasets": ["imagefolder"], "metrics": ["accuracy"], "base_model": "microsoft/beit-large-patch16-224", "model-index": [{"name": "HUSHEM_5x_beit_large_SGD_lr0001_fold3", "results": [{"task": {"type": "image-classification", "name": "Image Classification"}, "dataset": {"name": "imagefolder", "type": "imagefolder", "config": "default", "split": "test", "args": "default"}, "metrics": [{"type": "accuracy", "value": 0.27906976744186046, "name": "Accuracy"}]}]}]}
transformers pytorch beit image-classification generated_from_trainer dataset:imagefolder base_model:microsoft/beit-large-patch16-224 license:apache-2.0 model-index autotrain_compatible endpoints_compatible region:us