bert-base-uncased-finetuned-vi-infovqa

tiennvcs/bert-base-uncased-finetuned-vi-infovqa

bert-base-uncased-finetuned-vi-infovqa is a question answering model from tiennvcs. 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: Mar 2, 2022
Updated: Dec 27, 2021
SHA: 2fa675b1

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Model card

From the Hugging Face model README

bert-base-uncased-finetuned-vi-infovqa

This model is a fine-tuned version of bert-base-uncased on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 3.5470

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: 5e-05
train_batch_size: 4
eval_batch_size: 4
seed: 250500
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 2

Training results

Training Loss	Epoch	Step	Validation Loss
No log	0.21	100	4.2058
No log	0.43	200	4.0210
No log	0.64	300	4.0454
No log	0.85	400	3.7557
4.04	1.07	500	3.8257
4.04	1.28	600	3.7713
4.04	1.49	700	3.6075
4.04	1.71	800	3.6155
4.04	1.92	900	3.5470

Framework versions

Transformers 4.15.0
Pytorch 1.10.0+cu111
Datasets 1.17.0
Tokenizers 0.10.3

Task: Question Answering
Library: transformers
Type: bert
License: apache-2.0
Created: Mar 2, 2022
Updated: Dec 27, 2021