qa-bert-base-multilingual-uncased

Farabzadeh/qa-bert-base-multilingual-uncased

qa-bert-base-multilingual-uncased is a machine learning model from Farabzadeh. Use it for the machine learning task on the model card, and read the license before you ship it in a product. 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

License: apache-2.0
Model type: bert
Access: Public
Created: Aug 15, 2024
Updated: Aug 16, 2024
SHA: 45fb6ad0

Base models

google-bert/bert-base-multilingual-uncased

Datasets

SajjadAyoubi/persian_qa

Model card

From the Hugging Face model README

qa-bert-base-multilingual-uncased

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

Loss: 1.7136

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: 1e-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: 5

Training results

Training Loss	Epoch	Step	Validation Loss
3.0763	1.0	570	1.8933
2.0611	2.0	1140	1.6730
1.7286	3.0	1710	1.6859
1.5198	4.0	2280	1.6814
1.3609	5.0	2850	1.7136

Framework versions

Transformers 4.42.4
Pytorch 2.3.1+cu121
Datasets 2.21.0
Tokenizers 0.19.1

Type: bert
License: apache-2.0
Created: Aug 15, 2024
Updated: Aug 16, 2024