bert-small-finetuned-cuad-full-longer

muhtasham/bert-small-finetuned-cuad-full-longer

bert-small-finetuned-cuad-full-longer is a question answering model from muhtasham. Use it when the input is a question plus a passage. It is set up for transformers. The card lists the license as apache-2.0.

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

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At a glance

Task: Question Answering
Library: transformers
License: apache-2.0
Model type: bert
Access: Public
Created: Aug 17, 2022
Updated: Aug 17, 2022
SHA: fec48a58

Try a prompt

Datasets

cuad

Model card

From the Hugging Face model README

bert-small-finetuned-cuad-full-longer

This model is a fine-tuned version of muhtasham/bert-small-finetuned-cuad-full on the cuad dataset. It achieves the following results on the evaluation set:

Loss: 0.0295

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: 64
eval_batch_size: 64
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
0.0306	1.0	23785	0.0263
0.025	2.0	47570	0.0275
0.022	3.0	71355	0.0295

Framework versions

Transformers 4.21.1
Pytorch 1.12.1+cu113
Datasets 2.4.0
Tokenizers 0.12.1

Task: Question Answering
Library: transformers
Type: bert
License: apache-2.0
Created: Aug 17, 2022
Updated: Aug 17, 2022