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# dit-base-patient-chart

This model is a fine-tuned version of [microsoft/dit-base](https://huggingface.co/microsoft/dit-base) on the imagefolder dataset.

## 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: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3.0

### Training results



### Framework versions

- Transformers 4.35.2
- Pytorch 2.2.0.dev20231114
- Datasets 2.15.0
- Tokenizers 0.15.0

{"tags": ["image-classification", "vision", "generated_from_trainer"], "datasets": ["imagefolder"], "base_model": "microsoft/dit-base", "model-index": [{"name": "dit-base-patient-chart", "results": []}]}
transformers onnx beit image-classification vision generated_from_trainer dataset:imagefolder base_model:microsoft/dit-base autotrain_compatible endpoints_compatible region:us