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# HUSHEM_10x_beit_large_Adamax_lr001_fold5

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: 2.4346
- Accuracy: 0.7561

## 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 |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 1.2369        | 1.0   | 110  | 1.1754          | 0.2683   |
| 1.0286        | 2.0   | 220  | 0.8726          | 0.7073   |
| 1.0146        | 3.0   | 330  | 0.9105          | 0.6098   |
| 0.9755        | 4.0   | 440  | 0.8906          | 0.7073   |
| 0.9629        | 5.0   | 550  | 1.0926          | 0.5122   |
| 0.9828        | 6.0   | 660  | 0.8809          | 0.7073   |
| 0.8985        | 7.0   | 770  | 0.9327          | 0.6341   |
| 0.8143        | 8.0   | 880  | 0.7236          | 0.7073   |
| 0.8886        | 9.0   | 990  | 1.1073          | 0.5854   |
| 0.7811        | 10.0  | 1100 | 0.9474          | 0.7073   |
| 0.883         | 11.0  | 1210 | 1.2752          | 0.6098   |
| 0.8575        | 12.0  | 1320 | 0.8207          | 0.7317   |
| 0.7551        | 13.0  | 1430 | 0.9297          | 0.7561   |
| 0.7253        | 14.0  | 1540 | 0.7920          | 0.7561   |
| 0.6933        | 15.0  | 1650 | 0.8640          | 0.7561   |
| 0.7231        | 16.0  | 1760 | 0.9749          | 0.7561   |
| 0.6576        | 17.0  | 1870 | 1.0827          | 0.7317   |
| 0.6451        | 18.0  | 1980 | 1.2507          | 0.6585   |
| 0.5325        | 19.0  | 2090 | 1.2549          | 0.7317   |
| 0.544         | 20.0  | 2200 | 1.1804          | 0.6098   |
| 0.4189        | 21.0  | 2310 | 1.0292          | 0.7561   |
| 0.5778        | 22.0  | 2420 | 1.4390          | 0.6585   |
| 0.4621        | 23.0  | 2530 | 1.0377          | 0.7317   |
| 0.3906        | 24.0  | 2640 | 1.2733          | 0.7317   |
| 0.3831        | 25.0  | 2750 | 1.3620          | 0.7073   |
| 0.3921        | 26.0  | 2860 | 1.2582          | 0.7073   |
| 0.2788        | 27.0  | 2970 | 1.6001          | 0.6585   |
| 0.2762        | 28.0  | 3080 | 1.5330          | 0.7073   |
| 0.3759        | 29.0  | 3190 | 1.6695          | 0.7073   |
| 0.1869        | 30.0  | 3300 | 1.6256          | 0.7561   |
| 0.2335        | 31.0  | 3410 | 1.3263          | 0.7561   |
| 0.1959        | 32.0  | 3520 | 1.5397          | 0.7317   |
| 0.2515        | 33.0  | 3630 | 2.0271          | 0.7561   |
| 0.0795        | 34.0  | 3740 | 1.6934          | 0.7561   |
| 0.1565        | 35.0  | 3850 | 2.4370          | 0.7317   |
| 0.1208        | 36.0  | 3960 | 2.3420          | 0.6829   |
| 0.1086        | 37.0  | 4070 | 2.7396          | 0.7073   |
| 0.1234        | 38.0  | 4180 | 2.3994          | 0.6829   |
| 0.1676        | 39.0  | 4290 | 2.6828          | 0.7073   |
| 0.1427        | 40.0  | 4400 | 2.4641          | 0.7073   |
| 0.031         | 41.0  | 4510 | 2.3002          | 0.7317   |
| 0.0533        | 42.0  | 4620 | 2.3670          | 0.7317   |
| 0.1185        | 43.0  | 4730 | 2.5212          | 0.6829   |
| 0.0364        | 44.0  | 4840 | 2.4027          | 0.7561   |
| 0.0003        | 45.0  | 4950 | 2.5415          | 0.7073   |
| 0.0074        | 46.0  | 5060 | 2.3728          | 0.7073   |
| 0.0189        | 47.0  | 5170 | 2.4124          | 0.7317   |
| 0.0485        | 48.0  | 5280 | 2.4395          | 0.7561   |
| 0.0001        | 49.0  | 5390 | 2.4343          | 0.7561   |
| 0.0218        | 50.0  | 5500 | 2.4346          | 0.7561   |


### 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_fold5", "results": [{"task": {"type": "image-classification", "name": "Image Classification"}, "dataset": {"name": "imagefolder", "type": "imagefolder", "config": "default", "split": "test", "args": "default"}, "metrics": [{"type": "accuracy", "value": 0.7560975609756098, "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