bert-base-cased-squad2-finetuned-emrqa-msquad

Eladio/bert-base-cased-squad2-finetuned-emrqa-msquad

bert-base-cased-squad2-finetuned-emrqa-msquad is a question answering model from Eladio. Use it when the input is a question plus a passage. It is set up for transformers. The card lists the license as cc-by-4.0.

should probably proofread and complete it, then remove this comment. --

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At a glance

Task: Question Answering
Library: transformers
License: cc-by-4.0
Model type: bert
Access: Public
Created: Nov 11, 2023
Updated: Mar 10, 2024
SHA: 4ec854b2

Try a prompt

Base models

deepset/bert-base-cased-squad2

Datasets

Eladio/emrqa-msquad

Model card

From the Hugging Face model README

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

Task: Question Answering
Library: transformers
Type: bert
License: cc-by-4.0
Languages: en
Created: Nov 11, 2023
Updated: Mar 10, 2024