mofawzy/bert-labr-unbalanced

BERT-LABR unbalanced

Arabic version bert model fine tuned on LABR dataset

Data

The model were fine-tuned on ~63000 book reviews in arabic using bert large arabic

Results

class	precision	recall	f1-score	Support
0	0.8109	0.6832	0.7416	1670
1	0.9399	0.9689	0.9542	8541
Accuracy			0.9221	10211

How to use

You can use these models by installing torch or tensorflow and Huggingface library transformers. And you can use it directly by initializing it like this:

from transformers import AutoModelForSequenceClassification, AutoTokenizer

model_name="mofawzy/bert-labr-unbalanced"
model = AutoModelForSequenceClassification.from_pretrained(model_name,num_labels=2)
tokenizer = AutoTokenizer.from_pretrained(model_name)