bert-base-arabic-camelbert-msa-sixteenth-xnli-finetuned

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

• Loss: 0.5796
• Accuracy: 0.7671
• F1: 0.7675

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: 1
• eval_batch_size: 1
• seed: 42
• gradient_accumulation_steps: 32
• total_train_batch_size: 32
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 1
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	F1
0.5804	1.0	12271	0.5796	0.7671	0.7675

Framework versions

• Transformers 4.25.1
• Pytorch 1.13.1+cu117
• Datasets 2.8.0
• Tokenizers 0.13.2