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

This model is a fine-tuned version of CAMeL-Lab/bert-base-arabic-camelbert-msa on the xnli dataset. It achieves the following results on the evaluation set:

• eval_loss: 0.6284
• eval_accuracy: 0.7433
• eval_f1: 0.7429
• eval_runtime: 77.5483
• eval_samples_per_second: 64.605
• eval_steps_per_second: 64.605
• epoch: 1.0
• step: 24543

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: 16
• total_train_batch_size: 16
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 2
• mixed_precision_training: Native AMP

Framework versions

• Transformers 4.26.1
• Pytorch 1.13.1+cu116
• Datasets 2.9.0
• Tokenizers 0.13.2