---
base_model: aubmindlab/bert-base-arabert
tags:
- generated_from_trainer
model-index:
- name: bert-base-arabert-finetuned-mdeberta-tn
  results: []
---

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# bert-base-arabert-finetuned-mdeberta-tn

This model is a fine-tuned version of [aubmindlab/bert-base-arabert](https://huggingface.co/aubmindlab/bert-base-arabert) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 3.7532

## 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: 64
- eval_batch_size: 64
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3.0
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 4.7642        | 1.0   | 157  | 4.0732          |
| 4.0247        | 2.0   | 314  | 3.8307          |
| 3.8684        | 3.0   | 471  | 3.7532          |


### Framework versions

- Transformers 4.39.3
- Pytorch 2.1.2
- Datasets 2.18.0
- Tokenizers 0.15.2