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# hushem_40x_beit_large_rmsprop_lr0001_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: 0.2911
- Accuracy: 0.9762

## 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 |
|:-------------:|:-----:|:-----:|:---------------:|:--------:|
| 0.2393        | 1.0   | 437   | 0.3676          | 0.8571   |
| 0.1376        | 2.0   | 874   | 0.6508          | 0.9048   |
| 0.0152        | 3.0   | 1311  | 1.0941          | 0.8333   |
| 0.0353        | 4.0   | 1748  | 0.1784          | 0.9762   |
| 0.0996        | 5.0   | 2185  | 0.8407          | 0.8333   |
| 0.2199        | 6.0   | 2622  | 0.3254          | 0.8810   |
| 0.0313        | 7.0   | 3059  | 0.2296          | 0.9524   |
| 0.1236        | 8.0   | 3496  | 0.0475          | 0.9762   |
| 0.0648        | 9.0   | 3933  | 0.3882          | 0.9524   |
| 0.112         | 10.0  | 4370  | 0.3013          | 0.9762   |
| 0.0           | 11.0  | 4807  | 0.1717          | 0.9762   |
| 0.0589        | 12.0  | 5244  | 0.5205          | 0.8810   |
| 0.0168        | 13.0  | 5681  | 0.5281          | 0.9048   |
| 0.0483        | 14.0  | 6118  | 0.2336          | 0.9762   |
| 0.1891        | 15.0  | 6555  | 0.3172          | 0.9524   |
| 0.0001        | 16.0  | 6992  | 0.0004          | 1.0      |
| 0.0           | 17.0  | 7429  | 0.0802          | 0.9762   |
| 0.0           | 18.0  | 7866  | 0.2436          | 0.9524   |
| 0.0           | 19.0  | 8303  | 0.1133          | 0.9286   |
| 0.0           | 20.0  | 8740  | 0.3347          | 0.8571   |
| 0.0002        | 21.0  | 9177  | 0.0216          | 0.9762   |
| 0.0           | 22.0  | 9614  | 0.6090          | 0.9286   |
| 0.0001        | 23.0  | 10051 | 0.3020          | 0.9286   |
| 0.0           | 24.0  | 10488 | 0.4112          | 0.9524   |
| 0.0           | 25.0  | 10925 | 0.4952          | 0.9524   |
| 0.0           | 26.0  | 11362 | 0.6267          | 0.9286   |
| 0.0           | 27.0  | 11799 | 0.2810          | 0.9762   |
| 0.0           | 28.0  | 12236 | 0.0644          | 0.9762   |
| 0.0           | 29.0  | 12673 | 0.1172          | 0.9762   |
| 0.0           | 30.0  | 13110 | 0.2381          | 0.9524   |
| 0.0           | 31.0  | 13547 | 0.0006          | 1.0      |
| 0.0002        | 32.0  | 13984 | 0.2886          | 0.9762   |
| 0.0           | 33.0  | 14421 | 0.3739          | 0.9524   |
| 0.0           | 34.0  | 14858 | 0.3936          | 0.9524   |
| 0.0           | 35.0  | 15295 | 0.4641          | 0.9524   |
| 0.0647        | 36.0  | 15732 | 0.2645          | 0.9762   |
| 0.0           | 37.0  | 16169 | 1.0656          | 0.9048   |
| 0.0           | 38.0  | 16606 | 0.8135          | 0.9286   |
| 0.0           | 39.0  | 17043 | 0.6998          | 0.9286   |
| 0.0           | 40.0  | 17480 | 0.6043          | 0.9286   |
| 0.0           | 41.0  | 17917 | 0.4086          | 0.9524   |
| 0.0           | 42.0  | 18354 | 0.3953          | 0.9762   |
| 0.0           | 43.0  | 18791 | 0.4197          | 0.9524   |
| 0.0           | 44.0  | 19228 | 0.4572          | 0.9524   |
| 0.0           | 45.0  | 19665 | 0.4727          | 0.9524   |
| 0.0           | 46.0  | 20102 | 0.0166          | 0.9762   |
| 0.0           | 47.0  | 20539 | 0.0957          | 0.9762   |
| 0.0           | 48.0  | 20976 | 0.2909          | 0.9762   |
| 0.0           | 49.0  | 21413 | 0.2910          | 0.9762   |
| 0.0           | 50.0  | 21850 | 0.2911          | 0.9762   |


### 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_fold4", "results": [{"task": {"type": "image-classification", "name": "Image Classification"}, "dataset": {"name": "imagefolder", "type": "imagefolder", "config": "default", "split": "test", "args": "default"}, "metrics": [{"type": "accuracy", "value": 0.9761904761904762, "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