arabert-large-finetuned-sentiment-analysis

This model is a fine-tuned version of aubmindlab/bert-base-arabertv2 on the None dataset. It achieves the following results on the evaluation set:

• Loss: 0.7905

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: 0.0002
• train_batch_size: 8
• eval_batch_size: 8
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• training_steps: 10

Training results

Training Loss	Epoch	Step	Validation Loss
0.9166	0.0	2	0.6761
0.628	0.01	4	0.6767
0.6367	0.01	6	0.6816
0.6504	0.02	8	0.7792
0.6936	0.02	10	0.7905

Framework versions

• Transformers 4.38.2
• Pytorch 2.2.1+cu121
• Datasets 2.18.0
• Tokenizers 0.15.2