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# S1_M1_R3_BEiT_42621220

This model is a fine-tuned version of [microsoft/beit-base-patch16-224](https://huggingface.co/microsoft/beit-base-patch16-224) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0131
- Accuracy: 0.9977

## 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: 5e-05
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 64
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 5

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 0.0088        | 1.0   | 379  | 0.0077          | 0.9977   |
| 0.025         | 2.0   | 759  | 0.0080          | 0.9984   |
| 0.0362        | 3.0   | 1139 | 0.0049          | 0.9992   |
| 0.0007        | 4.0   | 1519 | 0.0146          | 0.9977   |
| 0.0           | 4.99  | 1895 | 0.0131          | 0.9977   |


### Framework versions

- Transformers 4.32.1
- Pytorch 2.1.2
- Datasets 2.16.1
- Tokenizers 0.13.3

{"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "microsoft/beit-base-patch16-224", "model-index": [{"name": "S1_M1_R3_BEiT_42621220", "results": []}]}
transformers pytorch beit image-classification generated_from_trainer base_model:microsoft/beit-base-patch16-224 license:apache-2.0 autotrain_compatible endpoints_compatible region:us