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update model card README.md

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@@ -13,11 +13,11 @@ should probably proofread and complete it, then remove this comment. -->
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  # feedback-classification
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- This model is a fine-tuned version of [qarib/bert-base-qarib_far_9920k](https://huggingface.co/qarib/bert-base-qarib_far_9920k) on the None dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.5368
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- - Macro F1: 0.8354
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- - Accuracy: 0.8319
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  ## Model description
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@@ -50,8 +50,8 @@ The following hyperparameters were used during training:
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  | Training Loss | Epoch | Step | Validation Loss | Macro F1 | Accuracy |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|:--------:|
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- | No log | 1.0 | 341 | 0.5374 | 0.8166 | 0.8099 |
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- | 0.5424 | 2.0 | 682 | 0.5368 | 0.8354 | 0.8319 |
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  ### Framework versions
 
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  # feedback-classification
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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: 0.5082
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+ - Macro F1: 0.8425
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+ - Accuracy: 0.8406
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss | Macro F1 | Accuracy |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|:--------:|
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+ | No log | 1.0 | 341 | 0.5222 | 0.8353 | 0.8333 |
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+ | 0.5602 | 2.0 | 682 | 0.5082 | 0.8425 | 0.8406 |
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  ### Framework versions