README.md

metadata

license: cc-by-4.0
base_model: deepset/bert-base-cased-squad2
tags:
  - generated_from_trainer
model-index:
  - name: bert-base-cased-squad2-finetuned-squad
    results: []
datasets:
  - Eladio/emrqa-msquad
language:
  - en
metrics:
  - precision
  - recall
  - exact_match
  - bleu
  - rouge
pipeline_tag: question-answering

bert-base-cased-squad2-finetuned-squad

This model is a fine-tuned version of deepset/bert-base-cased-squad2 on medical dataset Eladio/emrqa-msquad. It achieves the following results on the evaluation set:

• Loss: 0.0217

Model description

deepset/bert-base-cased-squad2 on medical dataset Eladio/emrqa-msquad

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: 3

Training results

Training Loss	Epoch	Step	Validation Loss
0.1755	1.0	17354	0.1014
0.0599	2.0	34708	0.0344
0.0278	3.0	52062	0.0217

Framework versions

• Transformers 4.35.0
• Pytorch 2.1.0+cu118
• Datasets 2.14.6
• Tokenizers 0.14.1