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# HUSHEM_5x_beit_large_RMSProp_lr001_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: 6.4471
- Accuracy: 0.4222

## 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 |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 1.815         | 1.0   | 54   | 1.4051          | 0.2444   |
| 1.413         | 2.0   | 108  | 1.4021          | 0.2444   |
| 1.3744        | 3.0   | 162  | 1.3911          | 0.2444   |
| 1.3454        | 4.0   | 216  | 2.2508          | 0.2667   |
| 1.112         | 5.0   | 270  | 2.0161          | 0.2667   |
| 1.1026        | 6.0   | 324  | 1.4671          | 0.2889   |
| 1.2546        | 7.0   | 378  | 1.4574          | 0.2889   |
| 1.1758        | 8.0   | 432  | 1.4321          | 0.3111   |
| 1.0174        | 9.0   | 486  | 1.6308          | 0.2667   |
| 0.8314        | 10.0  | 540  | 1.9564          | 0.2444   |
| 0.8997        | 11.0  | 594  | 2.1858          | 0.4222   |
| 0.806         | 12.0  | 648  | 1.3822          | 0.3556   |
| 0.8514        | 13.0  | 702  | 1.4048          | 0.3778   |
| 0.86          | 14.0  | 756  | 1.3401          | 0.3778   |
| 0.6763        | 15.0  | 810  | 1.7012          | 0.3778   |
| 0.6567        | 16.0  | 864  | 1.5024          | 0.3556   |
| 0.7908        | 17.0  | 918  | 1.4658          | 0.3556   |
| 0.7886        | 18.0  | 972  | 2.3302          | 0.3556   |
| 0.6362        | 19.0  | 1026 | 1.4070          | 0.3556   |
| 0.7148        | 20.0  | 1080 | 1.5628          | 0.3556   |
| 0.5979        | 21.0  | 1134 | 1.2967          | 0.4222   |
| 0.5544        | 22.0  | 1188 | 2.0136          | 0.3556   |
| 0.6554        | 23.0  | 1242 | 1.8302          | 0.3778   |
| 0.6048        | 24.0  | 1296 | 1.8687          | 0.3556   |
| 0.6187        | 25.0  | 1350 | 1.4755          | 0.3556   |
| 0.6876        | 26.0  | 1404 | 1.7973          | 0.3778   |
| 0.532         | 27.0  | 1458 | 1.4507          | 0.3778   |
| 0.5315        | 28.0  | 1512 | 1.8836          | 0.3778   |
| 0.446         | 29.0  | 1566 | 2.1626          | 0.3556   |
| 0.4415        | 30.0  | 1620 | 1.7489          | 0.3556   |
| 0.4443        | 31.0  | 1674 | 2.0345          | 0.3778   |
| 0.511         | 32.0  | 1728 | 1.7907          | 0.3778   |
| 0.3111        | 33.0  | 1782 | 2.3418          | 0.3778   |
| 0.3886        | 34.0  | 1836 | 1.6493          | 0.5333   |
| 0.3066        | 35.0  | 1890 | 2.1399          | 0.4      |
| 0.3612        | 36.0  | 1944 | 2.0029          | 0.4889   |
| 0.3445        | 37.0  | 1998 | 2.2948          | 0.3556   |
| 0.2461        | 38.0  | 2052 | 3.2626          | 0.3778   |
| 0.2539        | 39.0  | 2106 | 2.8379          | 0.4222   |
| 0.1036        | 40.0  | 2160 | 4.1296          | 0.4444   |
| 0.1813        | 41.0  | 2214 | 3.0103          | 0.3778   |
| 0.1237        | 42.0  | 2268 | 3.7600          | 0.4      |
| 0.1257        | 43.0  | 2322 | 3.8577          | 0.3778   |
| 0.0471        | 44.0  | 2376 | 5.0190          | 0.4222   |
| 0.0721        | 45.0  | 2430 | 6.7020          | 0.4444   |
| 0.0063        | 46.0  | 2484 | 6.5240          | 0.4222   |
| 0.0056        | 47.0  | 2538 | 6.5103          | 0.4444   |
| 0.0032        | 48.0  | 2592 | 6.3895          | 0.4222   |
| 0.0346        | 49.0  | 2646 | 6.4470          | 0.4222   |
| 0.0072        | 50.0  | 2700 | 6.4471          | 0.4222   |


### 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_5x_beit_large_RMSProp_lr001_fold1", "results": [{"task": {"type": "image-classification", "name": "Image Classification"}, "dataset": {"name": "imagefolder", "type": "imagefolder", "config": "default", "split": "test", "args": "default"}, "metrics": [{"type": "accuracy", "value": 0.4222222222222222, "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