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# hushem_40x_beit_large_rmsprop_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: 2.3747
- Accuracy: 0.8605

## 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 |
|:-------------:|:-----:|:-----:|:---------------:|:--------:|
| 0.1791        | 1.0   | 434   | 1.6622          | 0.7442   |
| 0.1375        | 2.0   | 868   | 0.8448          | 0.8605   |
| 0.0052        | 3.0   | 1302  | 0.9675          | 0.8140   |
| 0.0739        | 4.0   | 1736  | 1.2666          | 0.8140   |
| 0.1181        | 5.0   | 2170  | 1.6134          | 0.7674   |
| 0.0004        | 6.0   | 2604  | 1.8726          | 0.7674   |
| 0.0573        | 7.0   | 3038  | 1.4628          | 0.8140   |
| 0.0011        | 8.0   | 3472  | 1.3194          | 0.8605   |
| 0.0462        | 9.0   | 3906  | 2.0868          | 0.8140   |
| 0.0412        | 10.0  | 4340  | 1.0391          | 0.8837   |
| 0.0225        | 11.0  | 4774  | 1.1847          | 0.8372   |
| 0.0792        | 12.0  | 5208  | 1.1489          | 0.7907   |
| 0.0023        | 13.0  | 5642  | 1.3431          | 0.8372   |
| 0.0297        | 14.0  | 6076  | 1.0991          | 0.8372   |
| 0.0003        | 15.0  | 6510  | 1.6779          | 0.8372   |
| 0.0           | 16.0  | 6944  | 1.2504          | 0.8605   |
| 0.0001        | 17.0  | 7378  | 1.1147          | 0.8605   |
| 0.0003        | 18.0  | 7812  | 1.0188          | 0.9070   |
| 0.0           | 19.0  | 8246  | 1.1134          | 0.9070   |
| 0.1597        | 20.0  | 8680  | 1.1044          | 0.8372   |
| 0.0001        | 21.0  | 9114  | 1.8826          | 0.7907   |
| 0.0           | 22.0  | 9548  | 1.6505          | 0.8140   |
| 0.0           | 23.0  | 9982  | 1.5040          | 0.8372   |
| 0.0           | 24.0  | 10416 | 1.7183          | 0.8605   |
| 0.0           | 25.0  | 10850 | 1.6395          | 0.8605   |
| 0.0           | 26.0  | 11284 | 1.6078          | 0.8372   |
| 0.0           | 27.0  | 11718 | 2.4499          | 0.7674   |
| 0.0009        | 28.0  | 12152 | 2.2706          | 0.7907   |
| 0.0           | 29.0  | 12586 | 1.5485          | 0.8140   |
| 0.0           | 30.0  | 13020 | 1.6759          | 0.8372   |
| 0.0509        | 31.0  | 13454 | 2.0687          | 0.8372   |
| 0.0           | 32.0  | 13888 | 1.9847          | 0.8372   |
| 0.0           | 33.0  | 14322 | 2.0136          | 0.8372   |
| 0.0           | 34.0  | 14756 | 2.1289          | 0.8372   |
| 0.0           | 35.0  | 15190 | 2.3135          | 0.8372   |
| 0.0           | 36.0  | 15624 | 2.5278          | 0.8372   |
| 0.0           | 37.0  | 16058 | 2.8157          | 0.8372   |
| 0.0           | 38.0  | 16492 | 2.9302          | 0.8372   |
| 0.0           | 39.0  | 16926 | 2.9849          | 0.8372   |
| 0.0           | 40.0  | 17360 | 3.3772          | 0.8140   |
| 0.0           | 41.0  | 17794 | 2.3955          | 0.8605   |
| 0.0           | 42.0  | 18228 | 2.3401          | 0.8605   |
| 0.0           | 43.0  | 18662 | 2.3423          | 0.8605   |
| 0.0           | 44.0  | 19096 | 2.3504          | 0.8605   |
| 0.0           | 45.0  | 19530 | 2.3754          | 0.8605   |
| 0.0           | 46.0  | 19964 | 2.3131          | 0.8605   |
| 0.0           | 47.0  | 20398 | 2.3550          | 0.8605   |
| 0.0           | 48.0  | 20832 | 2.3684          | 0.8605   |
| 0.0           | 49.0  | 21266 | 2.3723          | 0.8605   |
| 0.0           | 50.0  | 21700 | 2.3747          | 0.8605   |


### 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_fold3", "results": [{"task": {"type": "image-classification", "name": "Image Classification"}, "dataset": {"name": "imagefolder", "type": "imagefolder", "config": "default", "split": "test", "args": "default"}, "metrics": [{"type": "accuracy", "value": 0.8604651162790697, "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