Model4_arabertv2_base_T1_WS_A100

SMG0/Model4_arabertv2_base_T1_WS_A100

Model4_arabertv2_base_T1_WS_A100 is a text classification model from SMG0. 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: Aug 15, 2023
Updated: Dec 11, 2024
SHA: eda9c653

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Base models

aubmindlab/bert-base-arabertv02-twitter

Model card

From the Hugging Face model README

Model4_arabertv2_base_T1_WS_A100

This model is a fine-tuned version of aubmindlab/bert-base-arabertv02-twitter on the None dataset. It achieves the following results on the evaluation set:

Loss: 0.1569
F1: 0.8398
F1 Macro: 0.7742
Roc Auc: 0.9021
Accuracy: 0.8073

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: 5e-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: 15

Training results

Training Loss	Epoch	Step	Validation Loss	F1	F1 Macro	Roc Auc	Accuracy
0.0988	1.0	507	0.1569	0.8398	0.7742	0.9021	0.8073
0.056	2.0	1014	0.2023	0.8267	0.7610	0.8938	0.7912
0.0358	3.0	1521	0.1959	0.8529	0.7889	0.9089	0.8275
0.0204	4.0	2028	0.2132	0.8496	0.7971	0.9079	0.8226
0.0157	5.0	2535	0.2288	0.8434	0.7789	0.9047	0.8163

Framework versions

Transformers 4.31.0
Pytorch 2.0.1+cu118
Datasets 2.14.4
Tokenizers 0.13.3

Task: Text Classification
Library: transformers
Type: bert
Created: Aug 15, 2023
Updated: Dec 11, 2024