| 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 | |
| should probably proofread and complete it, then remove this comment. --> | |
| # 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 | |