---
tags:
- masked-auto-encoding
- generated_from_trainer
datasets:
- imagefolder
model-index:
- name: radiovers16v
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# radiovers16v

This model is a fine-tuned version of [](https://huggingface.co/) on the /kaggle/radioai/radiology_ai dataset.
It achieves the following results on the evaluation set:
- Loss: 0.4036

## 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: 3.125e-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: 40.0

### Training results



### Framework versions

- Transformers 4.39.0.dev0
- Pytorch 2.1.0+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2