metadata
license: apache-2.0
base_model: dandelin/vilt-b32-finetuned-vqa
tags:
- generated_from_trainer
datasets:
- generator
model-index:
- name: vilt-finetuned-fashion-vqa
results: []
vilt-finetuned-fashion-vqa
This model is a fine-tuned version of dandelin/vilt-b32-finetuned-vqa on the generator 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: 4
- 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
Training results
Framework versions
- Transformers 4.34.1
- Pytorch 2.1.0+cu118
- Datasets 2.14.6
- Tokenizers 0.14.1