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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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- precision |
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- recall |
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- f1 |
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model-index: |
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- name: arabert-weakly-supervised-arabic-propaganda |
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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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# arabert-weakly-supervised-arabic-propaganda |
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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 the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.3223 |
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- Accuracy: 0.8389 |
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- Precision: 0.7865 |
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- Recall: 0.7764 |
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- F1: 0.7814 |
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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: 64 |
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- eval_batch_size: 64 |
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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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- lr_scheduler_warmup_ratio: 0.1 |
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- num_epochs: 5 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1 | |
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|:-------------:|:-----:|:-----:|:---------------:|:--------:|:---------:|:------:|:------:| |
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| 0.3758 | 1.0 | 2272 | 0.3615 | 0.8193 | 0.7950 | 0.6909 | 0.7393 | |
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| 0.3421 | 2.0 | 4544 | 0.3431 | 0.8285 | 0.7523 | 0.8016 | 0.7762 | |
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| 0.3447 | 3.0 | 6816 | 0.3389 | 0.8305 | 0.7933 | 0.7345 | 0.7628 | |
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| 0.3229 | 4.0 | 9088 | 0.3297 | 0.8352 | 0.7725 | 0.7877 | 0.7800 | |
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| 0.3176 | 5.0 | 11360 | 0.3223 | 0.8389 | 0.7865 | 0.7764 | 0.7814 | |
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### Framework versions |
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- Transformers 4.35.0 |
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- Pytorch 2.1.0+cu121 |
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- Datasets 2.14.6 |
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- Tokenizers 0.14.1 |
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