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# hushem_40x_beit_large_rmsprop_lr0001_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: 6.9042
- Accuracy: 0.5556

## 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 |
|:-------------:|:-----:|:-----:|:---------------:|:--------:|
| 0.5742        | 1.0   | 429   | 1.4307          | 0.4      |
| 0.5106        | 2.0   | 858   | 2.0291          | 0.3556   |
| 0.4543        | 3.0   | 1287  | 2.5004          | 0.4889   |
| 0.3747        | 4.0   | 1716  | 3.3474          | 0.4444   |
| 0.3378        | 5.0   | 2145  | 2.8572          | 0.4889   |
| 0.3163        | 6.0   | 2574  | 3.2029          | 0.5556   |
| 0.1945        | 7.0   | 3003  | 3.9451          | 0.5111   |
| 0.1795        | 8.0   | 3432  | 4.2503          | 0.5778   |
| 0.264         | 9.0   | 3861  | 4.0423          | 0.5333   |
| 0.1469        | 10.0  | 4290  | 3.7883          | 0.5333   |
| 0.16          | 11.0  | 4719  | 5.0275          | 0.5111   |
| 0.1256        | 12.0  | 5148  | 5.9923          | 0.5111   |
| 0.0175        | 13.0  | 5577  | 5.2519          | 0.5111   |
| 0.049         | 14.0  | 6006  | 5.7831          | 0.5333   |
| 0.0845        | 15.0  | 6435  | 3.4544          | 0.5333   |
| 0.1732        | 16.0  | 6864  | 4.6958          | 0.5111   |
| 0.0355        | 17.0  | 7293  | 5.0317          | 0.5111   |
| 0.004         | 18.0  | 7722  | 5.7346          | 0.5111   |
| 0.0027        | 19.0  | 8151  | 4.2558          | 0.5556   |
| 0.0626        | 20.0  | 8580  | 4.7321          | 0.5333   |
| 0.0008        | 21.0  | 9009  | 5.2142          | 0.4889   |
| 0.0691        | 22.0  | 9438  | 5.1043          | 0.5778   |
| 0.0296        | 23.0  | 9867  | 6.0031          | 0.4889   |
| 0.0156        | 24.0  | 10296 | 4.9053          | 0.5333   |
| 0.0428        | 25.0  | 10725 | 5.5369          | 0.6      |
| 0.0346        | 26.0  | 11154 | 6.8877          | 0.5333   |
| 0.0007        | 27.0  | 11583 | 5.4524          | 0.5556   |
| 0.0022        | 28.0  | 12012 | 5.1281          | 0.5111   |
| 0.0998        | 29.0  | 12441 | 6.0668          | 0.5111   |
| 0.0351        | 30.0  | 12870 | 5.1805          | 0.5556   |
| 0.0008        | 31.0  | 13299 | 4.6006          | 0.5778   |
| 0.0001        | 32.0  | 13728 | 5.7452          | 0.5556   |
| 0.0436        | 33.0  | 14157 | 6.8547          | 0.5556   |
| 0.0003        | 34.0  | 14586 | 6.4390          | 0.5111   |
| 0.0046        | 35.0  | 15015 | 6.1030          | 0.5556   |
| 0.0355        | 36.0  | 15444 | 5.5205          | 0.5333   |
| 0.0           | 37.0  | 15873 | 6.0923          | 0.5333   |
| 0.0024        | 38.0  | 16302 | 6.2067          | 0.6      |
| 0.0021        | 39.0  | 16731 | 6.1600          | 0.6222   |
| 0.0           | 40.0  | 17160 | 6.8865          | 0.5556   |
| 0.0           | 41.0  | 17589 | 7.2637          | 0.5333   |
| 0.0025        | 42.0  | 18018 | 6.4973          | 0.6222   |
| 0.0           | 43.0  | 18447 | 6.2954          | 0.5556   |
| 0.0           | 44.0  | 18876 | 6.9877          | 0.5333   |
| 0.0012        | 45.0  | 19305 | 6.4871          | 0.6      |
| 0.0           | 46.0  | 19734 | 6.9607          | 0.5111   |
| 0.0           | 47.0  | 20163 | 6.9096          | 0.5556   |
| 0.0           | 48.0  | 20592 | 6.9926          | 0.5333   |
| 0.0379        | 49.0  | 21021 | 6.8606          | 0.5556   |
| 0.0           | 50.0  | 21450 | 6.9042          | 0.5556   |


### 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_rmsprop_lr0001_fold2", "results": [{"task": {"type": "image-classification", "name": "Image Classification"}, "dataset": {"name": "imagefolder", "type": "imagefolder", "config": "default", "split": "test", "args": "default"}, "metrics": [{"type": "accuracy", "value": 0.5555555555555556, "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