VizWiz-Bert model (uncased)
Fine-tuning the BERT-base model for the Fill Mask task in VizWiz-Vision Skills for VQA
Fine-tuining information
- model: bert-base-uncased
- downstream_tasks: fill-mask
Dataset information
- annotations (CSV files)
- size: ~22K
- max_token_len: 78
Training information
- random_seed: 16
- max_token_len: 78
- train_batch_size: 32
- val_batch_size: 16
- num_epochs: 5,
- learning_rate: 5e-06,
- split_train: 0.8
- optimizer: adamw
Learning curves
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