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---
base_model: aubmindlab/bert-base-arabertv2
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: medicalBert
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. -->
# medicalBert
This model is a fine-tuned version of [aubmindlab/bert-base-arabertv2](https://huggingface.co/aubmindlab/bert-base-arabertv2) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0432
- Accuracy: 1.0
## 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: 32
- eval_batch_size: 32
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10
### Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| No log | 1.0 | 19 | 1.3351 | 0.6579 |
| No log | 2.0 | 38 | 0.7920 | 0.8289 |
| No log | 3.0 | 57 | 0.4334 | 0.8684 |
| No log | 4.0 | 76 | 0.2400 | 0.9605 |
| No log | 5.0 | 95 | 0.1408 | 0.9868 |
| No log | 6.0 | 114 | 0.1014 | 1.0 |
| No log | 7.0 | 133 | 0.0681 | 1.0 |
| No log | 8.0 | 152 | 0.0478 | 1.0 |
| No log | 9.0 | 171 | 0.0442 | 1.0 |
| No log | 10.0 | 190 | 0.0432 | 1.0 |
### Framework versions
- Transformers 4.39.3
- Pytorch 2.1.2
- Datasets 2.18.0
- Tokenizers 0.15.2
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