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# hushem_40x_beit_large_rmsprop_lr0001_fold1

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: 4.7028
- 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 |
|:-------------:|:-----:|:-----:|:---------------:|:--------:|
| 0.6335        | 1.0   | 429   | 1.3389          | 0.4222   |
| 0.4918        | 2.0   | 858   | 1.2041          | 0.5778   |
| 0.538         | 3.0   | 1287  | 1.9358          | 0.5111   |
| 0.3644        | 4.0   | 1716  | 2.0857          | 0.5556   |
| 0.332         | 5.0   | 2145  | 2.4489          | 0.5333   |
| 0.1817        | 6.0   | 2574  | 2.9822          | 0.5333   |
| 0.193         | 7.0   | 3003  | 2.3308          | 0.5778   |
| 0.2445        | 8.0   | 3432  | 1.8063          | 0.6222   |
| 0.1352        | 9.0   | 3861  | 3.0490          | 0.5333   |
| 0.1727        | 10.0  | 4290  | 3.6123          | 0.5333   |
| 0.1132        | 11.0  | 4719  | 4.2500          | 0.5556   |
| 0.2688        | 12.0  | 5148  | 3.9633          | 0.5333   |
| 0.0612        | 13.0  | 5577  | 4.5526          | 0.6      |
| 0.0178        | 14.0  | 6006  | 3.7960          | 0.5778   |
| 0.1411        | 15.0  | 6435  | 4.0885          | 0.5333   |
| 0.027         | 16.0  | 6864  | 3.9679          | 0.5778   |
| 0.0167        | 17.0  | 7293  | 3.2798          | 0.6667   |
| 0.073         | 18.0  | 7722  | 4.3465          | 0.5556   |
| 0.0462        | 19.0  | 8151  | 4.3780          | 0.5556   |
| 0.0232        | 20.0  | 8580  | 4.4297          | 0.5778   |
| 0.0766        | 21.0  | 9009  | 4.3128          | 0.5556   |
| 0.0835        | 22.0  | 9438  | 4.6937          | 0.5333   |
| 0.005         | 23.0  | 9867  | 4.7884          | 0.5556   |
| 0.0578        | 24.0  | 10296 | 4.6761          | 0.5333   |
| 0.0002        | 25.0  | 10725 | 5.1068          | 0.5556   |
| 0.191         | 26.0  | 11154 | 4.9516          | 0.5111   |
| 0.0373        | 27.0  | 11583 | 4.4557          | 0.5111   |
| 0.0001        | 28.0  | 12012 | 4.6318          | 0.5778   |
| 0.0001        | 29.0  | 12441 | 4.7637          | 0.5778   |
| 0.0001        | 30.0  | 12870 | 4.9014          | 0.5778   |
| 0.0002        | 31.0  | 13299 | 4.8533          | 0.5556   |
| 0.114         | 32.0  | 13728 | 4.3783          | 0.5333   |
| 0.0454        | 33.0  | 14157 | 5.5268          | 0.5333   |
| 0.0           | 34.0  | 14586 | 3.8073          | 0.6444   |
| 0.0           | 35.0  | 15015 | 4.4368          | 0.6      |
| 0.081         | 36.0  | 15444 | 4.2354          | 0.5778   |
| 0.0           | 37.0  | 15873 | 4.9097          | 0.5333   |
| 0.0           | 38.0  | 16302 | 4.1205          | 0.5778   |
| 0.0033        | 39.0  | 16731 | 4.9112          | 0.5778   |
| 0.0282        | 40.0  | 17160 | 4.2204          | 0.5778   |
| 0.0005        | 41.0  | 17589 | 4.8401          | 0.5778   |
| 0.0001        | 42.0  | 18018 | 4.9806          | 0.5333   |
| 0.0037        | 43.0  | 18447 | 4.9184          | 0.5556   |
| 0.0           | 44.0  | 18876 | 5.3534          | 0.5111   |
| 0.0           | 45.0  | 19305 | 5.3054          | 0.5556   |
| 0.0531        | 46.0  | 19734 | 5.1223          | 0.5333   |
| 0.0           | 47.0  | 20163 | 4.8152          | 0.5556   |
| 0.0001        | 48.0  | 20592 | 4.5600          | 0.5556   |
| 0.0           | 49.0  | 21021 | 4.7726          | 0.5556   |
| 0.0           | 50.0  | 21450 | 4.7028          | 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_fold1", "results": [{"task": {"type": "image-classification", "name": "Image Classification"}, "dataset": {"name": "imagefolder", "type": "imagefolder", "config": "default", "split": "test", "args": "default"}, "metrics": [{"type": "accuracy", "value": 0.5555555555555556, "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