metadata

library_name: transformers
license: apache-2.0
base_model: google/vit-base-patch16-224-in21k
tags:
  - image-classification
  - vision
  - generated_from_trainer
metrics:
  - accuracy
model-index:
  - name: vit-base-patch16-224-in21k
    results: []

vit-base-patch16-224-in21k

This model is a fine-tuned version of google/vit-base-patch16-224-in21k on the chainyo/rvl-cdip dataset. It achieves the following results on the evaluation set:

Loss: nan
Accuracy: 0.0630
Memory Allocated (gb): 1.49
Max Memory Allocated (gb): 2.1
Total Memory Available (gb): 126.62

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: 64
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-06
lr_scheduler_type: linear
num_epochs: 3.0

Training results

Framework versions

Transformers 4.45.2
Pytorch 2.4.0a0+git74cd574
Datasets 3.1.0
Tokenizers 0.20.1