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# hushem_40x_beit_large_sgd_lr00001_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: 1.4163
- Accuracy: 0.2683

## 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: 1e-05
- 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 |
|:-------------:|:-----:|:-----:|:---------------:|:--------:|
| 1.5796        | 1.0   | 440   | 1.5916          | 0.1220   |
| 1.5949        | 2.0   | 880   | 1.5829          | 0.1220   |
| 1.5587        | 3.0   | 1320  | 1.5748          | 0.1220   |
| 1.6067        | 4.0   | 1760  | 1.5669          | 0.1220   |
| 1.5959        | 5.0   | 2200  | 1.5594          | 0.1220   |
| 1.5636        | 6.0   | 2640  | 1.5521          | 0.1220   |
| 1.5672        | 7.0   | 3080  | 1.5450          | 0.1463   |
| 1.5809        | 8.0   | 3520  | 1.5381          | 0.1463   |
| 1.5125        | 9.0   | 3960  | 1.5315          | 0.1463   |
| 1.5314        | 10.0  | 4400  | 1.5251          | 0.1463   |
| 1.5221        | 11.0  | 4840  | 1.5188          | 0.1707   |
| 1.49          | 12.0  | 5280  | 1.5128          | 0.1707   |
| 1.4904        | 13.0  | 5720  | 1.5070          | 0.1707   |
| 1.5335        | 14.0  | 6160  | 1.5014          | 0.1707   |
| 1.4939        | 15.0  | 6600  | 1.4961          | 0.1707   |
| 1.4342        | 16.0  | 7040  | 1.4910          | 0.1707   |
| 1.5198        | 17.0  | 7480  | 1.4861          | 0.1707   |
| 1.5018        | 18.0  | 7920  | 1.4813          | 0.1707   |
| 1.5383        | 19.0  | 8360  | 1.4768          | 0.1707   |
| 1.4499        | 20.0  | 8800  | 1.4725          | 0.1707   |
| 1.4829        | 21.0  | 9240  | 1.4684          | 0.1707   |
| 1.4804        | 22.0  | 9680  | 1.4646          | 0.1951   |
| 1.4801        | 23.0  | 10120 | 1.4608          | 0.2195   |
| 1.466         | 24.0  | 10560 | 1.4571          | 0.2195   |
| 1.4676        | 25.0  | 11000 | 1.4538          | 0.2195   |
| 1.4891        | 26.0  | 11440 | 1.4506          | 0.2195   |
| 1.4902        | 27.0  | 11880 | 1.4476          | 0.2195   |
| 1.4006        | 28.0  | 12320 | 1.4446          | 0.2195   |
| 1.4459        | 29.0  | 12760 | 1.4419          | 0.2195   |
| 1.4812        | 30.0  | 13200 | 1.4393          | 0.2195   |
| 1.4547        | 31.0  | 13640 | 1.4369          | 0.2195   |
| 1.4831        | 32.0  | 14080 | 1.4346          | 0.2439   |
| 1.4414        | 33.0  | 14520 | 1.4325          | 0.2683   |
| 1.535         | 34.0  | 14960 | 1.4305          | 0.2683   |
| 1.5284        | 35.0  | 15400 | 1.4287          | 0.2683   |
| 1.4525        | 36.0  | 15840 | 1.4270          | 0.2683   |
| 1.4744        | 37.0  | 16280 | 1.4254          | 0.2683   |
| 1.4435        | 38.0  | 16720 | 1.4240          | 0.2683   |
| 1.4147        | 39.0  | 17160 | 1.4227          | 0.2683   |
| 1.4583        | 40.0  | 17600 | 1.4215          | 0.2683   |
| 1.6194        | 41.0  | 18040 | 1.4205          | 0.2683   |
| 1.4983        | 42.0  | 18480 | 1.4195          | 0.2683   |
| 1.4306        | 43.0  | 18920 | 1.4187          | 0.2683   |
| 1.4728        | 44.0  | 19360 | 1.4181          | 0.2683   |
| 1.3834        | 45.0  | 19800 | 1.4175          | 0.2683   |
| 1.5215        | 46.0  | 20240 | 1.4170          | 0.2683   |
| 1.4454        | 47.0  | 20680 | 1.4167          | 0.2683   |
| 1.4168        | 48.0  | 21120 | 1.4165          | 0.2683   |
| 1.4118        | 49.0  | 21560 | 1.4163          | 0.2683   |
| 1.4085        | 50.0  | 22000 | 1.4163          | 0.2683   |


### 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_sgd_lr00001_fold5", "results": [{"task": {"type": "image-classification", "name": "Image Classification"}, "dataset": {"name": "imagefolder", "type": "imagefolder", "config": "default", "split": "test", "args": "default"}, "metrics": [{"type": "accuracy", "value": 0.2682926829268293, "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