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BERT-ASTD Balanced

Arabic version bert model fine tuned on Hotel Arabic Reviews dataset from booking.com (HARD) dataset balanced version to identify sentiments opinion in Arabic language.

Data

The model were fine-tuned on ~93000 book reviews in arabic using bert large arabic

Dataset:

  • Train 70%
  • Validation: 10%
  • Test: 20%

Results

class precision recall f1-score Support
0 0.9733 0.9547 0.9639 10570
1 0.9555 0.9738 0.9646 10570
Accuracy 0.9642 21140

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-hard-balanced"
model = AutoModelForSequenceClassification.from_pretrained(model_name,num_labels=2)
tokenizer = AutoTokenizer.from_pretrained(model_name)
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