update model card README.md

README.md

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+---
+license: apache-2.0
+tags:
+- generated_from_trainer
+datasets:
+- xnli
+model-index:
+- name: bert-base-arabic-camelbert-msa-sixteenth-xnli-finetuned
+  results: []
+---
+
+<!-- This model card has been generated automatically according to the information the Trainer had access to. You
+should probably proofread and complete it, then remove this comment. -->
+
+# bert-base-arabic-camelbert-msa-sixteenth-xnli-finetuned
+
+This model is a fine-tuned version of [CAMeL-Lab/bert-base-arabic-camelbert-msa-sixteenth](https://huggingface.co/CAMeL-Lab/bert-base-arabic-camelbert-msa-sixteenth) on the xnli dataset.
+It achieves the following results on the evaluation set:
+- eval_loss: 0.6446
+- eval_accuracy: 0.7295
+- eval_f1: 0.7286
+- eval_runtime: 72.1081
+- eval_samples_per_second: 69.479
+- eval_steps_per_second: 69.479
+- epoch: 1.0
+- step: 12271
+
+## 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: 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