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

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# bert-base-arabic-camelbert-msa-xnli-finetuned

This model is a fine-tuned version of [CAMeL-Lab/bert-base-arabic-camelbert-msa](https://huggingface.co/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