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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: Model5_Araberv2_large_WS_A100
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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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# Model5_Araberv2_large_WS_A100
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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: 0.1496
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- F1: 0.8471
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- F1 Macro: 0.7728
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- Roc Auc: 0.9049
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- Accuracy: 0.8198
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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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| 0.3258 | 1.0 | 507 | 0.3872 | 0.5436 | 0.1187 | 0.7222 | 0.5531 |
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| 0.3014 | 2.0 | 1014 | 0.1685 | 0.8238 | 0.7461 | 0.8929 | 0.7842 |
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| 0.1736 | 3.0 | 1521 | 0.1496 | 0.8471 | 0.7728 | 0.9049 | 0.8198 |
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| 0.35 | 4.0 | 2028 | 0.3958 | 0.5436 | 0.1187 | 0.7222 | 0.5531 |
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| 0.3696 | 5.0 | 2535 | 0.3936 | 0.5436 | 0.1187 | 0.7222 | 0.5531 |
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| 0.3685 | 6.0 | 3042 | 0.4065 | 0.5436 | 0.1187 | 0.7222 | 0.5531 |
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| 0.366 | 7.0 | 3549 | 0.4728 | 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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