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Bmalmotairy
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arabert-fully-supervised-arabic-propaganda

Text Classification
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End of training

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  1. README.md +13 -13
  2. model.safetensors +1 -1
  3. runs/Nov13_09-42-23_nwh99n4t7w/events.out.tfevents.1699868551.nwh99n4t7w.320.0 +3 -0
  4. runs/Nov13_09-42-23_nwh99n4t7w/events.out.tfevents.1699868593.nwh99n4t7w.320.1 +3 -0
  5. training_args.bin +1 -1
README.md CHANGED
@@ -19,11 +19,11 @@ should probably proofread and complete it, then remove this comment. -->
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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: 0.9417
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- - Accuracy: 0.9452
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- - Precision: 0.7812
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- - Recall: 0.6098
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- - F1: 0.6849
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  ## Model description
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@@ -42,9 +42,9 @@ More information needed
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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: 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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  | Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1 |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|:---------:|:------:|:------:|
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- | 0.2106 | 1.0 | 40 | 0.3648 | 0.8881 | 0.4559 | 0.7561 | 0.5688 |
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- | 0.5647 | 2.0 | 80 | 0.5461 | 0.9286 | 0.6341 | 0.6341 | 0.6341 |
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- | 0.1487 | 3.0 | 120 | 0.5744 | 0.9286 | 0.6222 | 0.6829 | 0.6512 |
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- | 0.0015 | 4.0 | 160 | 0.7544 | 0.9429 | 0.7179 | 0.6829 | 0.7000 |
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- | 0.0013 | 5.0 | 200 | 0.9417 | 0.9452 | 0.7812 | 0.6098 | 0.6849 |
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  ### Framework versions
 
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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: 0.4417
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+ - Accuracy: 0.9167
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+ - Precision: 0.5577
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+ - Recall: 0.7073
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+ - F1: 0.6237
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  ## Model description
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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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  | Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1 |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|:---------:|:------:|:------:|
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+ | 0.5249 | 1.0 | 20 | 0.4933 | 0.7714 | 0.2901 | 0.9268 | 0.4419 |
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+ | 0.303 | 2.0 | 40 | 0.3490 | 0.8571 | 0.3933 | 0.8537 | 0.5385 |
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+ | 0.1552 | 3.0 | 60 | 0.3830 | 0.9048 | 0.5085 | 0.7317 | 0.6 |
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+ | 0.1411 | 4.0 | 80 | 0.4215 | 0.9143 | 0.5455 | 0.7317 | 0.6250 |
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+ | 0.1359 | 5.0 | 100 | 0.4417 | 0.9167 | 0.5577 | 0.7073 | 0.6237 |
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  ### Framework versions
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