vilt_finetuned_200 / README.md
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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