metadata

datasets:
  - squad_v2
model_index:
  - name: sapbert-from-pubmedbert-squad2
    results:
      - task:
          name: Question Answering
          type: question-answering
        dataset:
          name: squad_v2
          type: squad_v2
          args: squad_v2

sapbert-from-pubmedbert-squad2

This model is a fine-tuned version of cambridgeltl/SapBERT-from-PubMedBERT-fulltext on the squad_v2 dataset. It achieves the following results on the evaluation set:

Loss: 1.2582

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: 16
eval_batch_size: 16
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 5

Training results

Training Loss	Epoch	Step	Validation Loss
1.035	1.0	8298	0.9545
0.8053	2.0	16596	0.9988
0.5949	3.0	24894	0.9909
0.4878	4.0	33192	1.1428
0.3932	5.0	41490	1.2582

Framework versions

Transformers 4.7.0
Pytorch 1.8.0
Datasets 1.4.1
Tokenizers 0.10.2