bert-large-uncased-whole-word-masking-squad2-finetuned-squad2-all

This model is a fine-tuned version of deepset/bert-large-uncased-whole-word-masking-squad2 on an unknown dataset. It achieves the following results on the evaluation set:

• Loss: 0.6649

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: 2e-05
• train_batch_size: 4
• eval_batch_size: 4
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 2

Training results

Training Loss	Epoch	Step	Validation Loss
0.8119	1.0	839	0.4324
0.302	2.0	1678	0.6649

Framework versions

• Transformers 4.30.2
• Pytorch 2.0.1+cu118
• Datasets 2.13.0
• Tokenizers 0.13.3