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XiaoEnn
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herberta_seq_512_V2

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bert
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transformer
herberta
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Update README.md

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@@ -51,18 +51,22 @@ We named the model "Herberta" by combining "Herb" and "Roberta" to signify its p
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  #### Metrics Comparison
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- <table>
 
 
 
 
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  <tr>
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  <td align="center"><strong>Accuracy</strong></td>
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  <td align="center"><strong>Loss</strong></td>
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  <td align="center"><strong>Perplexity</strong></td>
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  </tr>
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  <tr>
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- <td><img src="https://cdn-uploads.huggingface.co/production/uploads/6564baaa393bae9c194fc32e/RDgI-0Ro2kMiwV853Wkgx.png" alt="Accuracy" width="500"></td>
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- <td><img src="https://cdn-uploads.huggingface.co/production/uploads/6564baaa393bae9c194fc32e/BJ7enbRg13IYAZuxwraPP.png" alt="Loss" width="500"></td>
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- <td><img src="https://cdn-uploads.huggingface.co/production/uploads/6564baaa393bae9c194fc32e/lOohRMIctPJZKM5yEEcQ2.png" alt="Perplexity" width="500"></td>
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  </tr>
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- </table>
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  ### Pretraining Configuration
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  #### Metrics Comparison
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+ ![Accuracy](https://cdn-uploads.huggingface.co/production/uploads/6564baaa393bae9c194fc32e/RDgI-0Ro2kMiwV853Wkgx.png)
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+ ![Loss](https://cdn-uploads.huggingface.co/production/uploads/6564baaa393bae9c194fc32e/BJ7enbRg13IYAZuxwraPP.png)
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+ ![Perplexity](https://cdn-uploads.huggingface.co/production/uploads/6564baaa393bae9c194fc32e/lOohRMIctPJZKM5yEEcQ2.png)
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+
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+ <!-- <table>
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  <tr>
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  <td align="center"><strong>Accuracy</strong></td>
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  <td align="center"><strong>Loss</strong></td>
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  <td align="center"><strong>Perplexity</strong></td>
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  </tr>
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  <tr>
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+ <td><img src="https://cdn-uploads.huggingface.co/production/uploads/6564baaa393bae9c194fc32e/RDgI-0Ro2kMiwV853Wkgx.png" alt="Accuracy" width="800"></td>
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+ <td><img src="https://cdn-uploads.huggingface.co/production/uploads/6564baaa393bae9c194fc32e/BJ7enbRg13IYAZuxwraPP.png" alt="Loss" width="800"></td>
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+ <td><img src="https://cdn-uploads.huggingface.co/production/uploads/6564baaa393bae9c194fc32e/lOohRMIctPJZKM5yEEcQ2.png" alt="Perplexity" width="800"></td>
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  </tr>
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+ </table> -->
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  ### Pretraining Configuration
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