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update model card README.md

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@@ -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 [vinai/bertweet-large](https://huggingface.co/vinai/bertweet-large) on the None dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.4079
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- - Accuracy: 0.9043
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- - F1: 0.8732
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- - Precision: 0.8630
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- - Recall: 0.8836
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  ## Model description
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@@ -54,8 +54,8 @@ The following hyperparameters were used during training:
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 | Precision | Recall |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:---------:|:------:|
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- | 0.5513 | 1.0 | 788 | 0.3691 | 0.8832 | 0.8515 | 0.8091 | 0.8985 |
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- | 0.316 | 2.0 | 1576 | 0.4079 | 0.9043 | 0.8732 | 0.8630 | 0.8836 |
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  ### Framework versions
 
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  This model is a fine-tuned version of [vinai/bertweet-large](https://huggingface.co/vinai/bertweet-large) on the None dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.4839
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+ - Accuracy: 0.9021
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+ - F1: 0.8675
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+ - Precision: 0.8754
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+ - Recall: 0.8597
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 | Precision | Recall |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:---------:|:------:|
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+ | 0.4682 | 1.0 | 2317 | 0.4096 | 0.8943 | 0.8554 | 0.8727 | 0.8388 |
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+ | 0.1787 | 2.0 | 4634 | 0.4839 | 0.9021 | 0.8675 | 0.8754 | 0.8597 |
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  ### Framework versions