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--- |
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base_model: aubmindlab/bert-base-arabertv02-twitter |
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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-Arabert-twitter-sentiment-Twitter |
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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-Arabert-twitter-sentiment-Twitter |
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This model is a fine-tuned version of [aubmindlab/bert-base-arabertv02-twitter](https://huggingface.co/aubmindlab/bert-base-arabertv02-twitter) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.6342 |
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- Accuracy: 0.89 |
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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: 1e-05 |
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- train_batch_size: 32 |
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- eval_batch_size: 32 |
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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: 15 |
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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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| 0.5264 | 0.55 | 50 | 0.5252 | 0.71 | |
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| 0.3041 | 1.1 | 100 | 0.4085 | 0.81 | |
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| 0.2205 | 1.65 | 150 | 0.3303 | 0.88 | |
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| 0.1476 | 2.2 | 200 | 0.3889 | 0.87 | |
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| 0.1219 | 2.75 | 250 | 0.3775 | 0.87 | |
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| 0.0972 | 3.3 | 300 | 0.3929 | 0.88 | |
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| 0.0917 | 3.85 | 350 | 0.4727 | 0.86 | |
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| 0.0596 | 4.4 | 400 | 0.4406 | 0.89 | |
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| 0.0556 | 4.95 | 450 | 0.4949 | 0.89 | |
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| 0.0375 | 5.49 | 500 | 0.4935 | 0.9 | |
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| 0.0269 | 6.04 | 550 | 0.5976 | 0.88 | |
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| 0.0235 | 6.59 | 600 | 0.5543 | 0.89 | |
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| 0.0191 | 7.14 | 650 | 0.5941 | 0.88 | |
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| 0.0109 | 7.69 | 700 | 0.6562 | 0.89 | |
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| 0.0198 | 8.24 | 750 | 0.6342 | 0.89 | |
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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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