fine-tuned-arabert-random-negative

aomar85/fine-tuned-arabert-random-negative

fine-tuned-arabert-random-negative is a text classification model from aomar85. 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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Model card

From the Hugging Face model README

fine-tuned-arabert-random-negative

This model is a fine-tuned version of aubmindlab/bert-base-arabertv02 on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 0.0080
Accuracy: 0.9989
Precision: 0.9990
Recall: 0.9988
F1: 0.9989

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: 10
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	Precision	Recall	F1
0.0105	1.0	62920	0.0061	0.9986	0.9993	0.9979	0.9986
0.0069	2.0	125840	0.0096	0.9986	0.9993	0.9979	0.9986
0.0058	3.0	188760	0.0084	0.9988	0.9988	0.9988	0.9988
0.0047	4.0	251680	0.0080	0.9989	0.9990	0.9988	0.9989

Framework versions

Transformers 4.19.2
Pytorch 1.11.0+cu113
Datasets 2.2.2
Tokenizers 0.12.1

Task: Text Classification
Library: transformers
Type: bert
Created: May 29, 2022
Updated: Mar 30, 2023