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---
base_model: Ammar-alhaj-ali/arabic-MARBERT-sentiment
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: Improved-MARBERT-attempt2
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. -->
# Improved-MARBERT-attempt2
This model is a fine-tuned version of [Ammar-alhaj-ali/arabic-MARBERT-sentiment](https://huggingface.co/Ammar-alhaj-ali/arabic-MARBERT-sentiment) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.5969
- Accuracy: 0.85
## 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: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10
### Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| No log | 0.07 | 50 | 0.3387 | 0.87 |
| No log | 0.14 | 100 | 0.4445 | 0.85 |
| No log | 0.21 | 150 | 0.6001 | 0.79 |
| No log | 0.27 | 200 | 1.0466 | 0.78 |
| No log | 0.34 | 250 | 0.5674 | 0.81 |
| No log | 0.41 | 300 | 0.3374 | 0.85 |
| No log | 0.48 | 350 | 0.7026 | 0.76 |
| No log | 0.55 | 400 | 0.3953 | 0.84 |
| No log | 0.62 | 450 | 0.2559 | 0.88 |
| 0.3031 | 0.68 | 500 | 0.2551 | 0.91 |
| 0.3031 | 0.75 | 550 | 0.5071 | 0.83 |
| 0.3031 | 0.82 | 600 | 0.5743 | 0.81 |
| 0.3031 | 0.89 | 650 | 0.3198 | 0.92 |
| 0.3031 | 0.96 | 700 | 0.3801 | 0.87 |
| 0.3031 | 1.03 | 750 | 0.3169 | 0.91 |
| 0.3031 | 1.1 | 800 | 0.4731 | 0.87 |
| 0.3031 | 1.16 | 850 | 0.4643 | 0.91 |
| 0.3031 | 1.23 | 900 | 0.5969 | 0.85 |
### Framework versions
- Transformers 4.34.1
- Pytorch 2.1.0+cu118
- Datasets 2.14.7
- Tokenizers 0.14.1
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