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# hushem_40x_beit_large_sgd_lr00001_fold2

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: 1.3689
- Accuracy: 0.3111

## 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: 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 |
|:-------------:|:-----:|:-----:|:---------------:|:--------:|
| 1.6181        | 1.0   | 429   | 1.4579          | 0.2667   |
| 1.5603        | 2.0   | 858   | 1.4528          | 0.2667   |
| 1.6587        | 3.0   | 1287  | 1.4480          | 0.2667   |
| 1.5232        | 4.0   | 1716  | 1.4434          | 0.2667   |
| 1.6078        | 5.0   | 2145  | 1.4391          | 0.2889   |
| 1.613         | 6.0   | 2574  | 1.4350          | 0.2889   |
| 1.5105        | 7.0   | 3003  | 1.4310          | 0.2889   |
| 1.588         | 8.0   | 3432  | 1.4273          | 0.2889   |
| 1.5697        | 9.0   | 3861  | 1.4237          | 0.2889   |
| 1.5993        | 10.0  | 4290  | 1.4202          | 0.2889   |
| 1.5656        | 11.0  | 4719  | 1.4169          | 0.2889   |
| 1.5373        | 12.0  | 5148  | 1.4138          | 0.2889   |
| 1.556         | 13.0  | 5577  | 1.4108          | 0.2889   |
| 1.476         | 14.0  | 6006  | 1.4080          | 0.2889   |
| 1.5166        | 15.0  | 6435  | 1.4054          | 0.2889   |
| 1.4873        | 16.0  | 6864  | 1.4028          | 0.2889   |
| 1.5729        | 17.0  | 7293  | 1.4005          | 0.2889   |
| 1.5164        | 18.0  | 7722  | 1.3981          | 0.2889   |
| 1.4931        | 19.0  | 8151  | 1.3960          | 0.2889   |
| 1.5662        | 20.0  | 8580  | 1.3939          | 0.2889   |
| 1.4441        | 21.0  | 9009  | 1.3920          | 0.3111   |
| 1.4981        | 22.0  | 9438  | 1.3901          | 0.3111   |
| 1.5331        | 23.0  | 9867  | 1.3884          | 0.3111   |
| 1.4853        | 24.0  | 10296 | 1.3868          | 0.3111   |
| 1.4326        | 25.0  | 10725 | 1.3852          | 0.3111   |
| 1.4765        | 26.0  | 11154 | 1.3837          | 0.3111   |
| 1.4738        | 27.0  | 11583 | 1.3824          | 0.3111   |
| 1.4888        | 28.0  | 12012 | 1.3811          | 0.3111   |
| 1.5215        | 29.0  | 12441 | 1.3799          | 0.3111   |
| 1.4896        | 30.0  | 12870 | 1.3787          | 0.3111   |
| 1.5027        | 31.0  | 13299 | 1.3776          | 0.3111   |
| 1.451         | 32.0  | 13728 | 1.3767          | 0.3111   |
| 1.5015        | 33.0  | 14157 | 1.3757          | 0.3111   |
| 1.4325        | 34.0  | 14586 | 1.3749          | 0.3111   |
| 1.4391        | 35.0  | 15015 | 1.3741          | 0.3111   |
| 1.4098        | 36.0  | 15444 | 1.3733          | 0.3111   |
| 1.4916        | 37.0  | 15873 | 1.3727          | 0.3111   |
| 1.4284        | 38.0  | 16302 | 1.3721          | 0.3111   |
| 1.4569        | 39.0  | 16731 | 1.3715          | 0.3111   |
| 1.4487        | 40.0  | 17160 | 1.3710          | 0.3111   |
| 1.5113        | 41.0  | 17589 | 1.3706          | 0.3111   |
| 1.4209        | 42.0  | 18018 | 1.3702          | 0.3111   |
| 1.478         | 43.0  | 18447 | 1.3699          | 0.3111   |
| 1.4432        | 44.0  | 18876 | 1.3696          | 0.3111   |
| 1.4358        | 45.0  | 19305 | 1.3694          | 0.3111   |
| 1.3635        | 46.0  | 19734 | 1.3692          | 0.3111   |
| 1.4518        | 47.0  | 20163 | 1.3691          | 0.3111   |
| 1.378         | 48.0  | 20592 | 1.3690          | 0.3111   |
| 1.3546        | 49.0  | 21021 | 1.3689          | 0.3111   |
| 1.4293        | 50.0  | 21450 | 1.3689          | 0.3111   |


### Framework versions

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

{"license": "apache-2.0", "tags": ["generated_from_trainer"], "datasets": ["imagefolder"], "metrics": ["accuracy"], "base_model": "microsoft/beit-large-patch16-224", "model-index": [{"name": "hushem_40x_beit_large_sgd_lr00001_fold2", "results": [{"task": {"type": "image-classification", "name": "Image Classification"}, "dataset": {"name": "imagefolder", "type": "imagefolder", "config": "default", "split": "test", "args": "default"}, "metrics": [{"type": "accuracy", "value": 0.3111111111111111, "name": "Accuracy"}]}]}]}
transformers safetensors 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