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# hushem_40x_beit_large_rmsprop_lr00001_fold4

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: 0.4152
- Accuracy: 0.9524

## 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 |
|:-------------:|:-----:|:-----:|:---------------:|:--------:|
| 0.0445        | 1.0   | 437   | 0.2058          | 0.9524   |
| 0.0053        | 2.0   | 874   | 0.2615          | 0.9762   |
| 0.0           | 3.0   | 1311  | 0.1195          | 0.9762   |
| 0.0001        | 4.0   | 1748  | 0.1590          | 0.9762   |
| 0.0001        | 5.0   | 2185  | 0.1515          | 0.9762   |
| 0.0           | 6.0   | 2622  | 0.0386          | 0.9762   |
| 0.0           | 7.0   | 3059  | 0.3441          | 0.9762   |
| 0.0           | 8.0   | 3496  | 0.1072          | 0.9762   |
| 0.0           | 9.0   | 3933  | 0.1233          | 0.9524   |
| 0.0           | 10.0  | 4370  | 0.2947          | 0.9524   |
| 0.0           | 11.0  | 4807  | 0.0083          | 1.0      |
| 0.0           | 12.0  | 5244  | 0.2831          | 0.9048   |
| 0.0           | 13.0  | 5681  | 0.6153          | 0.9286   |
| 0.0           | 14.0  | 6118  | 0.0640          | 0.9762   |
| 0.0           | 15.0  | 6555  | 0.0934          | 0.9762   |
| 0.0           | 16.0  | 6992  | 0.1008          | 0.9762   |
| 0.0001        | 17.0  | 7429  | 0.3561          | 0.9762   |
| 0.0           | 18.0  | 7866  | 0.2892          | 0.9762   |
| 0.0           | 19.0  | 8303  | 0.2017          | 0.9524   |
| 0.0           | 20.0  | 8740  | 0.1393          | 0.9762   |
| 0.0           | 21.0  | 9177  | 0.2441          | 0.9762   |
| 0.0           | 22.0  | 9614  | 0.2837          | 0.9524   |
| 0.0           | 23.0  | 10051 | 0.2897          | 0.9524   |
| 0.0           | 24.0  | 10488 | 0.3379          | 0.9762   |
| 0.0           | 25.0  | 10925 | 0.5590          | 0.9524   |
| 0.0           | 26.0  | 11362 | 0.5673          | 0.9524   |
| 0.0           | 27.0  | 11799 | 0.6122          | 0.9524   |
| 0.0           | 28.0  | 12236 | 0.6004          | 0.9524   |
| 0.0           | 29.0  | 12673 | 0.5770          | 0.9524   |
| 0.0           | 30.0  | 13110 | 0.5318          | 0.9524   |
| 0.0           | 31.0  | 13547 | 0.4938          | 0.9524   |
| 0.0           | 32.0  | 13984 | 0.4524          | 0.9524   |
| 0.0           | 33.0  | 14421 | 0.4626          | 0.9524   |
| 0.0           | 34.0  | 14858 | 0.4473          | 0.9524   |
| 0.0           | 35.0  | 15295 | 0.4488          | 0.9524   |
| 0.0           | 36.0  | 15732 | 0.4526          | 0.9524   |
| 0.0           | 37.0  | 16169 | 0.4507          | 0.9524   |
| 0.0           | 38.0  | 16606 | 0.4286          | 0.9524   |
| 0.0           | 39.0  | 17043 | 0.4256          | 0.9524   |
| 0.0           | 40.0  | 17480 | 0.4215          | 0.9524   |
| 0.0           | 41.0  | 17917 | 0.4325          | 0.9524   |
| 0.0           | 42.0  | 18354 | 0.4249          | 0.9524   |
| 0.0           | 43.0  | 18791 | 0.4234          | 0.9524   |
| 0.0           | 44.0  | 19228 | 0.4187          | 0.9524   |
| 0.0           | 45.0  | 19665 | 0.4216          | 0.9524   |
| 0.0           | 46.0  | 20102 | 0.4210          | 0.9524   |
| 0.0           | 47.0  | 20539 | 0.4135          | 0.9524   |
| 0.0           | 48.0  | 20976 | 0.4154          | 0.9524   |
| 0.0           | 49.0  | 21413 | 0.4154          | 0.9524   |
| 0.0           | 50.0  | 21850 | 0.4152          | 0.9524   |


### 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_lr00001_fold4", "results": [{"task": {"type": "image-classification", "name": "Image Classification"}, "dataset": {"name": "imagefolder", "type": "imagefolder", "config": "default", "split": "test", "args": "default"}, "metrics": [{"type": "accuracy", "value": 0.9523809523809523, "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