README.md

metadata

license: cc-by-4.0
base_model: deepset/roberta-base-squad2
tags:
  - generated_from_trainer
model-index:
  - name: roberta-base-squad2-finetuned-emrqa-msquad
    results: []
datasets:
  - Eladio/emrqa-msquad
language:
  - en
metrics:
  - f1
  - recall
  - precision
  - exact_match
  - bleu
  - rouge
pipeline_tag: question-answering

roberta-base-squad2-finetuned-emrqa-msquad

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

• Loss: 0.0305

Model description

deepset/roberta-base-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
0.1808	1.0	15878	0.1429
0.0832	2.0	31756	0.0536
0.0243	3.0	47634	0.0305

Framework versions

• Transformers 4.38.2
• Pytorch 2.1.0+cu121
• Datasets 2.18.0
• Tokenizers 0.15.2