arabert-sentiment-classification

This model is a fine-tuned version of aubmindlab/bert-large-arabertv02 on an unknown dataset. It achieves the following results on the evaluation set:

• Loss: 0.5784
• Macro F1: 0.6315
• Accuracy: 0.7864

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: 42
• 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	0.6109	0.5975	0.7807
0.8202	2.0	994	0.5784	0.6315	0.7864

Framework versions

• Transformers 4.34.0
• Pytorch 2.0.1+cu118
• Tokenizers 0.14.1