bert-base-multilingual-cased-finetuned-squad

monakth/bert-base-multilingual-cased-finetuned-squad

bert-base-multilingual-cased-finetuned-squad is a question answering model from monakth. 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 4, 2022
Updated: Oct 5, 2022
SHA: 43e753f2

Try a prompt

Datasets

squad

Model card

From the Hugging Face model README

bert-base-multilingual-cased-finetuned-squad

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

Loss: 1.0105

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
1.0094	1.0	5555	0.9460
0.7542	2.0	11110	0.9429
0.5506	3.0	16665	1.0105

Framework versions

Transformers 4.20.1
Pytorch 1.11.0
Datasets 2.1.0
Tokenizers 0.12.1

Task: Question Answering
Library: transformers
Type: bert
License: apache-2.0
Created: Oct 4, 2022
Updated: Oct 5, 2022