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--- |
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base_model: Ammar-alhaj-ali/arabic-MARBERT-sentiment |
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metrics: |
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- accuracy |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: unfortified_marbert2 |
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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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# unfortified_marbert2 |
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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 the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.1953 |
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- Accuracy: 0.91 |
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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 | 0.0546 | 50 | 0.3250 | 0.87 | |
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| No log | 0.1092 | 100 | 0.2651 | 0.91 | |
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| No log | 0.1638 | 150 | 0.4169 | 0.84 | |
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| No log | 0.2183 | 200 | 0.3473 | 0.89 | |
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| No log | 0.2729 | 250 | 0.3455 | 0.88 | |
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| No log | 0.3275 | 300 | 0.2863 | 0.9 | |
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| No log | 0.3821 | 350 | 0.2220 | 0.93 | |
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| No log | 0.4367 | 400 | 0.2382 | 0.92 | |
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| No log | 0.4913 | 450 | 0.3704 | 0.89 | |
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| 0.2918 | 0.5459 | 500 | 0.2641 | 0.92 | |
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| 0.2918 | 0.6004 | 550 | 0.2706 | 0.9 | |
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| 0.2918 | 0.6550 | 600 | 0.1759 | 0.93 | |
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| 0.2918 | 0.7096 | 650 | 0.3032 | 0.92 | |
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| 0.2918 | 0.7642 | 700 | 0.1880 | 0.91 | |
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| 0.2918 | 0.8188 | 750 | 0.2076 | 0.92 | |
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| 0.2918 | 0.8734 | 800 | 0.3046 | 0.91 | |
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| 0.2918 | 0.9279 | 850 | 0.1953 | 0.91 | |
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### Framework versions |
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- Transformers 4.42.2 |
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- Pytorch 2.3.0+cu121 |
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- Datasets 2.19.1 |
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- Tokenizers 0.19.1 |
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