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--- |
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base_model: aubmindlab/bert-large-arabertv02-twitter |
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tags: |
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- generated_from_trainer |
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metrics: |
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- f1 |
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- accuracy |
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model-index: |
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- name: Araberv2_large |
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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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# Araberv2_large |
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This model is a fine-tuned version of [aubmindlab/bert-large-arabertv02-twitter](https://huggingface.co/aubmindlab/bert-large-arabertv02-twitter) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.3745 |
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- F1: 0.5436 |
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- F1 Macro: 0.1187 |
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- Roc Auc: 0.7222 |
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- Accuracy: 0.5531 |
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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: 5e-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: 15 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | F1 | F1 Macro | Roc Auc | Accuracy | |
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|:-------------:|:-----:|:----:|:---------------:|:------:|:--------:|:-------:|:--------:| |
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| 0.3412 | 1.0 | 507 | 0.3815 | 0.5436 | 0.1187 | 0.7222 | 0.5531 | |
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| 0.3775 | 2.0 | 1014 | 0.3745 | 0.5436 | 0.1187 | 0.7222 | 0.5531 | |
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| 0.3768 | 3.0 | 1521 | 0.3914 | 0.5436 | 0.1187 | 0.7222 | 0.5531 | |
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| 0.3764 | 4.0 | 2028 | 0.3745 | 0.5436 | 0.1187 | 0.7222 | 0.5531 | |
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| 0.3714 | 5.0 | 2535 | 0.3870 | 0.5436 | 0.1187 | 0.7222 | 0.5531 | |
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| 0.3697 | 6.0 | 3042 | 0.3835 | 0.5436 | 0.1187 | 0.7222 | 0.5531 | |
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| 0.3688 | 7.0 | 3549 | 0.4026 | 0.5436 | 0.1187 | 0.7222 | 0.5531 | |
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| 0.3654 | 8.0 | 4056 | 0.4771 | 0.5436 | 0.1187 | 0.7222 | 0.5531 | |
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### Framework versions |
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- Transformers 4.31.0 |
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- Pytorch 2.0.1+cu118 |
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- Datasets 2.14.4 |
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- Tokenizers 0.13.3 |
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