bert-base-multilingual-cased-finetuned-squad

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

bert-base-multilingual-cased-finetuned-squad is a question answering model from JensH. 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. --

Downloads · 30 days

2% of all-time downloads

All-time downloads

405

Public

Repo size

1.4 GB

Likes

Public

Hugging Face

Repo makeup

Click a slice to open those files.

.bin709 MB · 99%

At a glance

Task: Question Answering
Library: transformers
License: apache-2.0
Model type: bert
Access: Public
Created: Mar 5, 2023
Updated: Mar 7, 2023
SHA: 7dea1138

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: 1.5190

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: 10
eval_batch_size: 10
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
No log	1.0	62	2.0039
No log	2.0	124	1.5705
No log	3.0	186	1.5190

Framework versions

Transformers 4.26.1
Pytorch 1.13.1+cu116
Datasets 2.10.1
Tokenizers 0.13.2

Task: Question Answering
Library: transformers
Type: bert
License: apache-2.0
Created: Mar 5, 2023
Updated: Mar 7, 2023