metadata

license: apache-2.0
base_model: dandelin/vilt-b32-mlm
tags:
  - vilt-vqa-200
  - generated_from_trainer
datasets:
  - vqa
model-index:
  - name: vilt_finetuned_200
    results: []

vilt_finetuned_200

This model is a fine-tuned version of dandelin/vilt-b32-mlm on the vqa 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: 16
eval_batch_size: 32
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 20

Training results

Framework versions

Transformers 4.34.0
Pytorch 2.1.0a0+29c30b1
Datasets 2.14.5
Tokenizers 0.14.1