End of training
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README.md
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---
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base_model: Ammar-alhaj-ali/arabic-MARBERT-sentiment
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tags:
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- generated_from_trainer
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metrics:
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- accuracy
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model-index:
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- name: Improved-MARBERT-attempt2
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results: []
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---
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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should probably proofread and complete it, then remove this comment. -->
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# Improved-MARBERT-attempt2
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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.
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It achieves the following results on the evaluation set:
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- Loss: 0.5969
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- Accuracy: 0.85
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## Model description
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More information needed
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## Intended uses & limitations
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More information needed
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## Training and evaluation data
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More information needed
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## Training procedure
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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate: 2e-05
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- train_batch_size: 16
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- eval_batch_size: 16
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- seed: 42
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: linear
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- num_epochs: 10
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Accuracy |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|
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| No log | 0.07 | 50 | 0.3387 | 0.87 |
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| No log | 0.14 | 100 | 0.4445 | 0.85 |
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| No log | 0.21 | 150 | 0.6001 | 0.79 |
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| No log | 0.27 | 200 | 1.0466 | 0.78 |
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| No log | 0.34 | 250 | 0.5674 | 0.81 |
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| No log | 0.41 | 300 | 0.3374 | 0.85 |
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| No log | 0.48 | 350 | 0.7026 | 0.76 |
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| No log | 0.55 | 400 | 0.3953 | 0.84 |
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| No log | 0.62 | 450 | 0.2559 | 0.88 |
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| 0.3031 | 0.68 | 500 | 0.2551 | 0.91 |
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| 0.3031 | 0.75 | 550 | 0.5071 | 0.83 |
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| 0.3031 | 0.82 | 600 | 0.5743 | 0.81 |
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| 0.3031 | 0.89 | 650 | 0.3198 | 0.92 |
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| 0.3031 | 0.96 | 700 | 0.3801 | 0.87 |
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| 0.3031 | 1.03 | 750 | 0.3169 | 0.91 |
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| 0.3031 | 1.1 | 800 | 0.4731 | 0.87 |
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| 0.3031 | 1.16 | 850 | 0.4643 | 0.91 |
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| 0.3031 | 1.23 | 900 | 0.5969 | 0.85 |
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### Framework versions
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- Transformers 4.34.1
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- Pytorch 2.1.0+cu118
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- Datasets 2.14.7
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- Tokenizers 0.14.1
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