transformers safetensors vit_mae pretraining masked-auto-encoding generated_from_trainer endpoints_compatible region:us
---
tags:
- masked-auto-encoding
- generated_from_trainer
model-index:
- name: pretrainingmedd
  results: []
---

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# pretrainingmedd

This model is a fine-tuned version of [](https://huggingface.co/) on the cifar10 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: 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: 3.0

### Framework versions

- Transformers 4.38.0.dev0
- Pytorch 2.1.0+cu121
- Datasets 2.17.0
- Tokenizers 0.15.2
