qandos0/SentimentArEng

SentimentArEng

This model is a fine-tuned version of cardiffnlp/twitter-xlm-roberta-base-sentiment on the None dataset. It achieves the following results on the evaluation set:

• —Loss: 0.502831
• —Accuracy: 0.798512

inference with pipeline

from transformers import pipeline
model_path = "Noor0/SentimentArEng"
sentiment_task = pipeline("sentiment-analysis", model=model_path, tokenizer=model_path)
sentiment_task("تعامل الموظفين كان أقل من المتوقع")

• —output:
• —[{'label': 'negative', 'score': 0.9905518293380737}]

Training and evaluation data

• —Training set: 114,885 records
• —evaluation data: 12,765 records

Training procedure

Training hyperparameters

• —The following hyperparameters were used during training:
• —learning_rate=2e-5
• —numtrainepochs=20
• —weight_decay=0.01
• —batch_size=16,

Framework versions

• —Transformers 4.35.0
• —Pytorch 2.0.0
• —Datasets 2.11.0
• —Tokenizers 0.14.1