bert-base-arabert-finetuned-Arabic-DBpedia

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

• Loss: 7.9491

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: 16
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 10

Training results

Training Loss	Epoch	Step	Validation Loss
8.3884	2.69	500	8.0043
7.1297	5.38	1000	7.9452
6.8379	8.06	1500	7.8969

Framework versions

• Transformers 4.27.1
• Pytorch 2.1.0+cu118
• Datasets 2.15.0
• Tokenizers 0.13.3