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# HUSHEM_1x_beit_large_SGD_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: 1.2510
- Accuracy: 0.4

## 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 |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 1.8188        | 1.0   | 11   | 1.7284          | 0.2667   |
| 1.7444        | 2.0   | 22   | 1.6388          | 0.2889   |
| 1.6473        | 3.0   | 33   | 1.5658          | 0.3333   |
| 1.5349        | 4.0   | 44   | 1.5144          | 0.3333   |
| 1.5765        | 5.0   | 55   | 1.4751          | 0.3333   |
| 1.4306        | 6.0   | 66   | 1.4478          | 0.3111   |
| 1.4087        | 7.0   | 77   | 1.4249          | 0.3333   |
| 1.3999        | 8.0   | 88   | 1.4096          | 0.4      |
| 1.3606        | 9.0   | 99   | 1.3934          | 0.4      |
| 1.3196        | 10.0  | 110  | 1.3820          | 0.3778   |
| 1.3095        | 11.0  | 121  | 1.3710          | 0.3778   |
| 1.2621        | 12.0  | 132  | 1.3616          | 0.3778   |
| 1.2435        | 13.0  | 143  | 1.3521          | 0.3778   |
| 1.269         | 14.0  | 154  | 1.3455          | 0.3778   |
| 1.2133        | 15.0  | 165  | 1.3392          | 0.3778   |
| 1.2066        | 16.0  | 176  | 1.3330          | 0.3778   |
| 1.2158        | 17.0  | 187  | 1.3259          | 0.4      |
| 1.1984        | 18.0  | 198  | 1.3199          | 0.4      |
| 1.2105        | 19.0  | 209  | 1.3138          | 0.4      |
| 1.1595        | 20.0  | 220  | 1.3081          | 0.4222   |
| 1.1543        | 21.0  | 231  | 1.3033          | 0.4222   |
| 1.1315        | 22.0  | 242  | 1.3007          | 0.4222   |
| 1.1314        | 23.0  | 253  | 1.2967          | 0.4222   |
| 1.1282        | 24.0  | 264  | 1.2920          | 0.4222   |
| 1.0442        | 25.0  | 275  | 1.2888          | 0.4222   |
| 1.1497        | 26.0  | 286  | 1.2855          | 0.4222   |
| 1.1076        | 27.0  | 297  | 1.2817          | 0.4222   |
| 1.0426        | 28.0  | 308  | 1.2786          | 0.4222   |
| 1.0675        | 29.0  | 319  | 1.2750          | 0.4222   |
| 1.0388        | 30.0  | 330  | 1.2722          | 0.4      |
| 1.0217        | 31.0  | 341  | 1.2694          | 0.4      |
| 1.029         | 32.0  | 352  | 1.2671          | 0.4      |
| 1.0474        | 33.0  | 363  | 1.2647          | 0.4      |
| 0.9747        | 34.0  | 374  | 1.2626          | 0.4      |
| 1.0495        | 35.0  | 385  | 1.2611          | 0.4      |
| 1.0019        | 36.0  | 396  | 1.2599          | 0.4      |
| 0.9961        | 37.0  | 407  | 1.2591          | 0.4      |
| 0.9826        | 38.0  | 418  | 1.2570          | 0.4      |
| 1.0299        | 39.0  | 429  | 1.2548          | 0.4      |
| 1.0012        | 40.0  | 440  | 1.2541          | 0.4      |
| 0.9613        | 41.0  | 451  | 1.2530          | 0.4      |
| 1.0297        | 42.0  | 462  | 1.2520          | 0.4      |
| 0.9768        | 43.0  | 473  | 1.2515          | 0.4      |
| 1.016         | 44.0  | 484  | 1.2511          | 0.4      |
| 0.9521        | 45.0  | 495  | 1.2511          | 0.4      |
| 1.0558        | 46.0  | 506  | 1.2510          | 0.4      |
| 0.9959        | 47.0  | 517  | 1.2510          | 0.4      |
| 1.0165        | 48.0  | 528  | 1.2510          | 0.4      |
| 0.9723        | 49.0  | 539  | 1.2510          | 0.4      |
| 1.0           | 50.0  | 550  | 1.2510          | 0.4      |


### Framework versions

- Transformers 4.32.1
- Pytorch 2.0.1
- Datasets 2.12.0
- Tokenizers 0.13.2

{"license": "apache-2.0", "tags": ["generated_from_trainer"], "datasets": ["imagefolder"], "metrics": ["accuracy"], "base_model": "microsoft/beit-large-patch16-224", "model-index": [{"name": "HUSHEM_1x_beit_large_SGD_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": 0.4, "name": "Accuracy"}]}]}]}
transformers pytorch 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