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metadata
license: apache-2.0
tags:
  - generated_from_trainer
datasets:
  - xnli
base_model: CAMeL-Lab/bert-base-arabic-camelbert-msa
model-index:
  - name: bert-base-arabic-camelbert-msa-xnli-finetuned
    results: []

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