metadata

base_model: microsoft/dit-base
tags:
  - image-classification
  - vision
  - generated_from_trainer
datasets:
  - imagefolder
model-index:
  - name: dit-base-patient-chart
    results: []

dit-base-patient-chart

This model is a fine-tuned version of 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