ArBERT-finetuned-fnd

lamaabdulaziz/ArBERT-finetuned-fnd

ArBERT-finetuned-fnd is a text classification model from lamaabdulaziz. Use it when you need a label for a piece of text. It is set up for transformers.

should probably proofread and complete it, then remove this comment. --

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At a glance

Task: Text Classification
Library: transformers
Model type: bert
Access: Public
Created: Mar 30, 2023
Updated: Apr 3, 2023
SHA: 6477b5a1

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Model card

From the Hugging Face model README

ArBERT-finetuned-fnd

This model is a fine-tuned version of UBC-NLP/ARBERT on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 0.4896
Macro F1: 0.7637
Accuracy: 0.7738
Precision: 0.7695
Recall: 0.7604

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: 25
gradient_accumulation_steps: 2
total_train_batch_size: 32
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	Macro F1	Accuracy	Precision	Recall
0.5031	1.0	1597	0.4754	0.7547	0.7606	0.7538	0.7559
0.3832	2.0	3194	0.4896	0.7637	0.7738	0.7695	0.7604
0.2571	3.0	4791	0.5890	0.7605	0.7692	0.7634	0.7585

Framework versions

Transformers 4.20.1
Pytorch 1.11.0
Datasets 2.1.0
Tokenizers 0.12.1

Task: Text Classification
Library: transformers
Type: bert
Created: Mar 30, 2023
Updated: Apr 3, 2023