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reformatting Readme.md

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@@ -135,38 +135,18 @@ The testing data is internally generated and curated.
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  <!-- These are the evaluation metrics being used, ideally with a description of why. -->
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  The model was evaluated on Rouge Metrics below are the baseline results achieved
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- Epoch Training Loss Validation Loss Rouge1 Rouge2 Rougel Rougelsum Gen Len
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- 1 4.160200 2.802442 0.255200 0.101900 0.233100 0.233200 15.500300
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- 2 2.962400 2.645199 0.288200 0.118300 0.262600 0.262600 15.827100
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- 3 2.820600 2.578758 0.295200 0.121800 0.268400 0.268500 16.218300
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- 4 2.776400 2.533263 0.302900 0.125800 0.275500 0.275400 16.341800
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- 5 2.699700 2.504000 0.304600 0.127300 0.277300 0.277100 16.410100
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- 6 2.664700 2.473418 0.306900 0.129800 0.280200 0.280100 16.354000
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- 7 2.619600 2.454723 0.307700 0.131000 0.280400 0.280400 16.526000
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- 8 2.591600 2.435169 0.310700 0.133200 0.283300 0.283400 16.441900
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- 9 2.571600 2.419672 0.309200 0.132000 0.281900 0.281700 16.402300
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- 10 2.548000 2.412395 0.309400 0.132900 0.282200 0.282300 16.325600
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- 11 2.535200 2.402286 0.309600 0.132300 0.282100 0.282000 16.377400
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- 12 2.508700 2.396766 0.310700 0.132600 0.283100 0.283200 16.459200
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- 13 2.486500 2.389850 0.311700 0.133900 0.284100 0.284200 16.458600
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- 14 2.508100 2.388508 0.312400 0.133700 0.284500 0.284500 16.407200
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- 15 2.474800 2.379151 0.313100 0.134000 0.285000 0.284900 16.457200
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- 16 2.469000 2.378473 0.311900 0.133300 0.284100 0.284000 16.390700
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- 17 2.458700 2.376562 0.311500 0.133400 0.283500 0.283400 16.448800
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- 18 2.442800 2.375408 0.313700 0.134600 0.285400 0.285400 16.414100
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- 19 2.454800 2.372553 0.312900 0.134100 0.284900 0.285000 16.445100
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- 20 2.438900 2.372551 0.312300 0.134000 0.284500 0.284600 16.435500
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- [More Information Needed]
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  ### Results
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- [More Information Needed]
 
 
 
 
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  #### Summary
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  ## Model Examination [optional]
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  <!-- Relevant interpretability work for the model goes here -->
 
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  <!-- These are the evaluation metrics being used, ideally with a description of why. -->
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  The model was evaluated on Rouge Metrics below are the baseline results achieved
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ### Results
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+ | Epoch | Training Loss | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len|
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+ | --- | --- | --- | --- | --- | --- | --- | --- |
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+ | 18 | 2.442800 | 2.375408 | 0.313700 | 0.134600 | 0.285400 | 0.285400 | 16.414100 |
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+ | 19 | 2.454800 | 2.372553 | 0.312900 | 0.134100 | 0.284900 | 0.285000 | 16.445100 |
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+ | 20 | 2.438900 | 2.372551 | 0.312300 | 0.134000 | 0.284500 | 0.284600 | 16.435500 |
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  #### Summary
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  ## Model Examination [optional]
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  <!-- Relevant interpretability work for the model goes here -->