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--- |
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base_model: aubmindlab/bert-base-arabert |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: Labour-Law-SA-QA |
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results: [] |
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language: |
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- ar |
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library_name: transformers |
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pipeline_tag: question-answering |
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--- |
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# Labour-Law-SA-QA |
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This model is a fine-tuned version of [aubmindlab/bert-base-arabert](https://huggingface.co/aubmindlab/bert-base-arabert) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 1.1740 |
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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: 16 |
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- eval_batch_size: 16 |
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- seed: 42 |
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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: 9 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:-----:|:----:|:---------------:| |
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| No log | 1.0 | 34 | 1.6275 | |
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| No log | 2.0 | 68 | 1.4822 | |
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| No log | 3.0 | 102 | 1.4659 | |
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| No log | 4.0 | 136 | 1.3038 | |
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| No log | 5.0 | 170 | 1.3173 | |
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| No log | 6.0 | 204 | 1.1665 | |
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| No log | 7.0 | 238 | 1.1344 | |
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| No log | 8.0 | 272 | 1.1346 | |
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| No log | 9.0 | 306 | 1.1740 | |
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### Framework versions |
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- Transformers 4.31.0 |
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- Pytorch 2.0.1 |
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- Datasets 2.14.4 |
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- Tokenizers 0.13.3 |
