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---
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
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