bert-base-arabic-camelbert-msa-sixteenth-xnli-finetuned

SarahAdnan/bert-base-arabic-camelbert-msa-sixteenth-xnli-finetuned

bert-base-arabic-camelbert-msa-sixteenth-xnli-finetuned is a text classification model from SarahAdnan. 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: Feb 16, 2023
Updated: Feb 16, 2023
SHA: dfa5445f

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Datasets

xnli

Model card

From the Hugging Face model README

bert-base-arabic-camelbert-msa-sixteenth-xnli-finetuned

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

Loss: 0.5796
Accuracy: 0.7671
F1: 0.7675

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: 1
eval_batch_size: 1
seed: 42
gradient_accumulation_steps: 32
total_train_batch_size: 32
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 1
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	F1
0.5804	1.0	12271	0.5796	0.7671	0.7675

Framework versions

Transformers 4.25.1
Pytorch 1.13.1+cu117
Datasets 2.8.0
Tokenizers 0.13.2

Task: Text Classification
Library: transformers
Type: bert
Created: Feb 16, 2023
Updated: Feb 16, 2023