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