bert-base-multilingual-cased-finetuned-RQA-new-2

AsifAbrar6/bert-base-multilingual-cased-finetuned-RQA-new-2

bert-base-multilingual-cased-finetuned-RQA-new-2 is a question answering model from AsifAbrar6. 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: Jun 27, 2024
Updated: Jun 27, 2024
SHA: f4ee200e

Try a prompt

Base models

google-bert/bert-base-multilingual-cased

Model card

From the Hugging Face model README

bert-base-multilingual-cased-finetuned-RQA-new-2

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

Loss: 0.6434

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
0.7044	1.0	1632	0.6372
0.5331	2.0	3264	0.6198
0.3758	3.0	4896	0.6434

Framework versions

Transformers 4.41.2
Pytorch 2.1.2
Datasets 2.19.2
Tokenizers 0.19.1

Task: Question Answering
Library: transformers
Type: bert
License: apache-2.0
Created: Jun 27, 2024
Updated: Jun 27, 2024