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@@ -7,6 +7,10 @@ metrics:
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  model-index:
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  - name: AraBert-Arabic-Sentiment-Analysis
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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
@@ -14,7 +18,7 @@ should probably proofread and complete it, then remove this comment. -->
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  # AraBert-Arabic-Sentiment-Analysis
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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 an unknown dataset.
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  It achieves the following results on the evaluation set:
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  - Loss: 0.5327
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  - Macro F1: 0.6543
@@ -59,4 +63,4 @@ The following hyperparameters were used during training:
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  - Transformers 4.38.2
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  - Pytorch 2.1.0+cu121
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- - Tokenizers 0.15.2
 
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  model-index:
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  - name: AraBert-Arabic-Sentiment-Analysis
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  results: []
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+ license: apache-2.0
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+ language:
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+ - ar
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+ library_name: transformers
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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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  # AraBert-Arabic-Sentiment-Analysis
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+ This model is a fine-tuned version of AraBERT on an unknown dataset.
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  It achieves the following results on the evaluation set:
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  - Loss: 0.5327
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  - Macro F1: 0.6543
 
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  - Transformers 4.38.2
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  - Pytorch 2.1.0+cu121
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+ - Tokenizers 0.15.2