bert-base-multilingual-uncased-finetuned-squad

Alex31y/bert-base-multilingual-uncased-finetuned-squad

bert-base-multilingual-uncased-finetuned-squad is a question answering model from Alex31y. 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: Oct 8, 2023
Updated: Oct 16, 2023
SHA: 1074fa53

Try a prompt

Datasets

squad

Model card

From the Hugging Face model README

bert-base-multilingual-uncased-finetuned-squad

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

Loss: 1.0349

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: 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
1.0032	1.0	5547	0.9935
0.7614	2.0	11094	0.9566
0.5752	3.0	16641	1.0349

Framework versions

Transformers 4.28.0
Pytorch 2.0.1+cu118
Datasets 2.14.5
Tokenizers 0.13.3

Task: Question Answering
Library: transformers
Type: bert
License: apache-2.0
Created: Oct 8, 2023
Updated: Oct 16, 2023