bert-base-uncased-squad-v2.0-finetuned

This model is a fine-tuned version of bert-base-uncased on the squad_v2 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: 0.00012
• train_batch_size: 48
• eval_batch_size: 32
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 2.0
• mixed_precision_training: Native AMP

Training results

Framework versions

• Transformers 4.20.0.dev0
• Pytorch 1.10.0+cu113
• Datasets 1.17.0
• Tokenizers 0.12.1