---
base_model: aubmindlab/bert-large-arabertv2
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: arabert-sentiment-classification
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# arabert-sentiment-classification

This model is a fine-tuned version of [aubmindlab/bert-large-arabertv2](https://huggingface.co/aubmindlab/bert-large-arabertv2) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.6123
- Macro F1: 0.6539
- Accuracy: 0.7723

## 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: 128
- seed: 25
- gradient_accumulation_steps: 2
- total_train_batch_size: 32
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3

### Training results

| Training Loss | Epoch | Step | Validation Loss | Macro F1 | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|:--------:|
| No log        | 1.0   | 491  | 0.6646          | 0.5748   | 0.7527   |
| 0.9023        | 2.0   | 983  | 0.6157          | 0.6093   | 0.7710   |
| 0.6187        | 3.0   | 1473 | 0.6123          | 0.6539   | 0.7723   |


### Framework versions

- Transformers 4.34.0
- Pytorch 2.0.1+cu118
- Tokenizers 0.14.1