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# HUSHEM_10x_beit_large_Adamax_lr001_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: 4.9223
- Accuracy: 0.5814

## 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: 0.001
- 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 |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 1.1647        | 1.0   | 109  | 3.3505          | 0.4884   |
| 1.0911        | 2.0   | 218  | 0.9202          | 0.5814   |
| 0.8804        | 3.0   | 327  | 0.8502          | 0.6279   |
| 0.7904        | 4.0   | 436  | 0.7898          | 0.6977   |
| 0.9492        | 5.0   | 545  | 0.8204          | 0.7209   |
| 0.9019        | 6.0   | 654  | 0.8176          | 0.7442   |
| 0.9053        | 7.0   | 763  | 0.8636          | 0.5814   |
| 0.7303        | 8.0   | 872  | 0.8628          | 0.6279   |
| 0.6817        | 9.0   | 981  | 0.9521          | 0.6744   |
| 0.7147        | 10.0  | 1090 | 1.1793          | 0.7442   |
| 0.632         | 11.0  | 1199 | 1.1311          | 0.5814   |
| 0.4598        | 12.0  | 1308 | 1.1093          | 0.6744   |
| 0.5039        | 13.0  | 1417 | 1.5344          | 0.6047   |
| 0.6132        | 14.0  | 1526 | 1.5744          | 0.3953   |
| 0.4524        | 15.0  | 1635 | 1.4964          | 0.5581   |
| 0.5331        | 16.0  | 1744 | 1.1315          | 0.5349   |
| 0.4084        | 17.0  | 1853 | 1.6619          | 0.5116   |
| 0.3724        | 18.0  | 1962 | 1.1629          | 0.6047   |
| 0.4781        | 19.0  | 2071 | 1.3103          | 0.6279   |
| 0.4206        | 20.0  | 2180 | 3.1211          | 0.4419   |
| 0.3249        | 21.0  | 2289 | 2.0567          | 0.6279   |
| 0.3268        | 22.0  | 2398 | 2.4551          | 0.4884   |
| 0.2834        | 23.0  | 2507 | 1.9039          | 0.6047   |
| 0.1914        | 24.0  | 2616 | 2.1445          | 0.6047   |
| 0.2122        | 25.0  | 2725 | 2.4039          | 0.5814   |
| 0.2193        | 26.0  | 2834 | 2.3441          | 0.5581   |
| 0.352         | 27.0  | 2943 | 2.6556          | 0.5581   |
| 0.0514        | 28.0  | 3052 | 2.3810          | 0.6047   |
| 0.1455        | 29.0  | 3161 | 2.4312          | 0.5814   |
| 0.4692        | 30.0  | 3270 | 3.3672          | 0.4186   |
| 0.1225        | 31.0  | 3379 | 3.6980          | 0.5349   |
| 0.0969        | 32.0  | 3488 | 4.0192          | 0.5349   |
| 0.1147        | 33.0  | 3597 | 4.0590          | 0.5581   |
| 0.0351        | 34.0  | 3706 | 4.4299          | 0.4884   |
| 0.0848        | 35.0  | 3815 | 5.2819          | 0.4651   |
| 0.1409        | 36.0  | 3924 | 5.7545          | 0.4186   |
| 0.0016        | 37.0  | 4033 | 4.5789          | 0.5349   |
| 0.01          | 38.0  | 4142 | 4.3269          | 0.5814   |
| 0.0387        | 39.0  | 4251 | 4.8004          | 0.5581   |
| 0.0019        | 40.0  | 4360 | 4.7291          | 0.6047   |
| 0.0524        | 41.0  | 4469 | 5.0797          | 0.5581   |
| 0.0013        | 42.0  | 4578 | 5.1558          | 0.5581   |
| 0.0423        | 43.0  | 4687 | 5.4532          | 0.5116   |
| 0.0013        | 44.0  | 4796 | 4.6084          | 0.5581   |
| 0.0098        | 45.0  | 4905 | 4.8646          | 0.5349   |
| 0.0004        | 46.0  | 5014 | 5.1986          | 0.5814   |
| 0.0055        | 47.0  | 5123 | 5.0324          | 0.5349   |
| 0.0001        | 48.0  | 5232 | 4.8761          | 0.5814   |
| 0.0176        | 49.0  | 5341 | 4.8998          | 0.5814   |
| 0.0001        | 50.0  | 5450 | 4.9223          | 0.5814   |


### 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_10x_beit_large_Adamax_lr001_fold3", "results": [{"task": {"type": "image-classification", "name": "Image Classification"}, "dataset": {"name": "imagefolder", "type": "imagefolder", "config": "default", "split": "test", "args": "default"}, "metrics": [{"type": "accuracy", "value": 0.5813953488372093, "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