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 output: [{'label': 'negative', 'score': 0.9905518293380737}] Training and evaluation data Training set: 114,885 records evaluation data: 12,765 records Training procedure Training Loss Epoch Validation Loss Accuracy : : : : : : : : 0.4511 2.0 0.502831 0.7985 0.3655 3.0 0.576118 0.7954 0.3019 4.0 0.625391 0.7985 0.2466 5.0 0.835689 0.7979 Training hyperparameters The following hyperparameters were used during training: learning rate=2e 5 num train epochs=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
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