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--- |
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tags: |
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- generated_from_trainer |
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datasets: |
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- xnli |
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metrics: |
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- accuracy |
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- f1 |
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model-index: |
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- name: bert-base-arabic-camelbert-msa-sixteenth-xnli-finetuned |
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results: |
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- task: |
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name: Text Classification |
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type: text-classification |
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dataset: |
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name: xnli |
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type: xnli |
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config: ar |
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split: train |
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args: ar |
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metrics: |
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- name: Accuracy |
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type: accuracy |
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value: 0.767065868263473 |
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- name: F1 |
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type: f1 |
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value: 0.767539058869847 |
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--- |
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You |
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should probably proofread and complete it, then remove this comment. --> |
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# bert-base-arabic-camelbert-msa-sixteenth-xnli-finetuned |
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This model is a fine-tuned version of [aubmindlab/bert-base-arabertv02](https://huggingface.co/aubmindlab/bert-base-arabertv02) on the xnli dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.5796 |
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- Accuracy: 0.7671 |
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- F1: 0.7675 |
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## Model description |
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More information needed |
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## Intended uses & limitations |
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More information needed |
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## Training and evaluation data |
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More information needed |
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## Training procedure |
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### Training hyperparameters |
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The following hyperparameters were used during training: |
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- learning_rate: 2e-05 |
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- train_batch_size: 1 |
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- eval_batch_size: 1 |
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- seed: 42 |
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- gradient_accumulation_steps: 32 |
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- total_train_batch_size: 32 |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: linear |
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- num_epochs: 1 |
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- mixed_precision_training: Native AMP |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 | |
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|:-------------:|:-----:|:-----:|:---------------:|:--------:|:------:| |
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| 0.5804 | 1.0 | 12271 | 0.5796 | 0.7671 | 0.7675 | |
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### Framework versions |
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- Transformers 4.25.1 |
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- Pytorch 1.13.1+cu117 |
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- Datasets 2.8.0 |
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- Tokenizers 0.13.2 |
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