Vilt_fine_tune_2000
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: 0.005
- 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: 20
Training results
Framework versions
- Transformers 4.33.1
- Pytorch 1.12.1+cu113
- Datasets 2.14.5
- Tokenizers 0.13.3
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Model tree for aqachun/Vilt_fine_tune_2000
Base model
dandelin/vilt-b32-mlm