bert-squad-covidqa-2

This model is a fine-tuned version of hung200504/bert-squadv2 on an unknown dataset. It achieves the following results on the evaluation set:

• Loss: 0.0012

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: 32
• eval_batch_size: 32
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 3

Training results

Training Loss	Epoch	Step	Validation Loss
6.0266	0.71	5	1.2542
0.3796	1.43	10	0.0068
0.0123	2.14	15	0.0018
0.0039	2.86	20	0.0012

Framework versions

• Transformers 4.34.1
• Pytorch 2.1.0+cu118
• Datasets 2.14.5
• Tokenizers 0.14.1