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--- |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: bert-base-arabertv02-finetuned-sandouq |
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results: [] |
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language: |
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- ar |
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fill-mask: |
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- example1: صندوق [MASK] |
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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-arabertv02-finetuned-sandouq |
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This model is a fine-tuned version of [aubmindlab/bert-base-arabertv02](https://huggingface.co/aubmindlab/bert-base-arabertv02) on an ٍSandouq financial dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 2.9575 |
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## Model description |
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This is AraBert model which fine-tuned on financial dataset for financial purpous |
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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: 15 |
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- eval_batch_size: 15 |
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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: cosine |
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- num_epochs: 8 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:-----:|:----:|:---------------:| |
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| 3.3856 | 1.0 | 334 | 3.2282 | |
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| 3.2555 | 2.0 | 668 | 3.1496 | |
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| 3.1479 | 3.0 | 1002 | 3.1036 | |
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| 3.0899 | 4.0 | 1336 | 3.0090 | |
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| 3.025 | 5.0 | 1670 | 3.0105 | |
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| 2.9823 | 6.0 | 2004 | 3.0245 | |
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| 2.9893 | 7.0 | 2338 | 2.9781 | |
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| 2.9614 | 8.0 | 2672 | 2.9572 | |
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### Framework versions |
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- Transformers 4.30.2 |
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- Pytorch 2.0.1+cu118 |
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- Datasets 2.13.0 |
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- Tokenizers 0.13.3 |
