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alpcansoydas
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bert-base-arabic-emotion-analysis-v2

Text Classification
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bert
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End of training

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  1. README.md +6 -6
  2. model.safetensors +1 -1
  3. runs/Nov21_13-35-09_e3df372b7d98/events.out.tfevents.1700573711.e3df372b7d98.236.2 +3 -0
  4. runs/Nov21_13-35-09_e3df372b7d98/events.out.tfevents.1700574332.e3df372b7d98.236.3 +3 -0
  5. training_args.bin +1 -1
README.md CHANGED
@@ -17,9 +17,9 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [asafaya/bert-base-arabic](https://huggingface.co/asafaya/bert-base-arabic) on the None dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.6114
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- - Accuracy: 0.7831
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- - F1: 0.7817
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  ## Model description
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@@ -50,9 +50,9 @@ The following hyperparameters were used during training:
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
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- | 0.9789 | 1.0 | 102 | 0.6821 | 0.7652 | 0.7632 |
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- | 0.5489 | 2.0 | 204 | 0.6261 | 0.7762 | 0.7734 |
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- | 0.4239 | 3.0 | 306 | 0.6114 | 0.7831 | 0.7817 |
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  ### Framework versions
 
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  This model is a fine-tuned version of [asafaya/bert-base-arabic](https://huggingface.co/asafaya/bert-base-arabic) on the None dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.6073
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+ - Accuracy: 0.7804
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+ - F1: 0.7804
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
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+ | 1.0627 | 1.0 | 102 | 0.6845 | 0.7486 | 0.7450 |
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+ | 0.5835 | 2.0 | 204 | 0.6166 | 0.7749 | 0.7744 |
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+ | 0.4549 | 3.0 | 306 | 0.6073 | 0.7804 | 0.7804 |
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  ### Framework versions
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