metadata

license: apache-2.0
tags:
  - image-classification
  - generated_from_trainer
metrics:
  - f1
model-index:
  - name: vit-base-beans-demo-v5
    results: []

vit-base-beans-demo-v5

This model is a fine-tuned version of google/vit-base-patch16-224-in21k on the rvl-cdip, the cord, the receipts and the coco datasets. It achieves the following results on the evaluation set:

Loss: 0.0017
F1: 0.9990

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: 0.0002
train_batch_size: 16
eval_batch_size: 8
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 1
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	F1
0.0033	0.23	100	0.0032	1.0
0.0017	0.45	200	0.0018	1.0
0.0012	0.68	300	0.0020	0.9990
0.001	0.91	400	0.0017	0.9990

Framework versions

Transformers 4.21.2
Pytorch 1.11.0+cu102
Datasets 2.4.0
Tokenizers 0.12.1