PRAli22/AraBert-Arabic-Sentiment-Analysis

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AraBert-Arabic-Sentiment-Analysis

This model is a fine-tuned version of AraBERT on an unknown dataset. It achieves the following results on the evaluation set:

• —Loss: 0.5327
• —Macro F1: 0.6543
• —Accuracy: 0.8003

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
• —trainbatchsize: 16
• —evalbatchsize: 128
• —seed: 25
• —gradientaccumulationsteps: 2
• —totaltrainbatch_size: 32
• —optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• —lrschedulertype: linear
• —num_epochs: 2

Training results

Framework versions

• —Transformers 4.38.2
• —Pytorch 2.1.0+cu121
• —Tokenizers 0.15.2