---
license: mit
base_model: xlm-roberta-large
tags:
- generated_from_trainer
model-index:
- name: arabert-sentiment-classification
  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. -->

# arabert-sentiment-classification

This model is a fine-tuned version of [xlm-roberta-large](https://huggingface.co/xlm-roberta-large) on an unknown dataset.
It achieves the following results on the evaluation set:
- eval_loss: 0.6336
- eval_macro_f1: 0.6099
- eval_accuracy: 0.7641
- eval_runtime: 92.4531
- eval_samples_per_second: 43.049
- eval_steps_per_second: 2.693
- epoch: 2.0
- step: 995

## 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: 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

### Framework versions

- Transformers 4.34.0
- Pytorch 2.0.1+cu118
- Tokenizers 0.14.1