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
• train_batch_size: 16
• eval_batch_size: 128
• seed: 25
• gradient_accumulation_steps: 2
• total_train_batch_size: 32
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 2

Training results

Training Loss	Epoch	Step	Validation Loss	Macro F1	Accuracy
No log	1.0	497	0.5337	0.6219	0.7967
0.6177	2.0	994	0.5327	0.6543	0.8003

Framework versions

• Transformers 4.38.2
• Pytorch 2.1.0+cu121
• Tokenizers 0.15.2