---
library_name: transformers
base_model: aubmindlab/bert-large-arabertv02
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: EOS_bert
  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. -->

# EOS_bert

This model is a fine-tuned version of [aubmindlab/bert-large-arabertv02](https://huggingface.co/aubmindlab/bert-large-arabertv02) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0007
- 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: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 10

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| No log        | 1.0   | 57   | 0.5427          | 0.81     |
| No log        | 2.0   | 114  | 0.3237          | 0.91     |
| No log        | 3.0   | 171  | 0.1998          | 0.97     |
| No log        | 4.0   | 228  | 0.0504          | 1.0      |
| No log        | 5.0   | 285  | 0.0290          | 1.0      |
| No log        | 6.0   | 342  | 0.0033          | 1.0      |
| No log        | 7.0   | 399  | 0.0026          | 1.0      |
| No log        | 8.0   | 456  | 0.0009          | 1.0      |
| 0.2254        | 9.0   | 513  | 0.0007          | 1.0      |
| 0.2254        | 10.0  | 570  | 0.0007          | 1.0      |


### Framework versions

- Transformers 4.46.3
- Pytorch 2.5.1+cu121
- Datasets 3.1.0
- Tokenizers 0.20.3