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@@ -77,13 +77,6 @@ To evaluate on the two test sets (valence_shifting and valence stable) and calcu
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  python eval_perplexity.py --model_dir $model_dir --stable_path $path_to_json --shift_path $path_to_json --batch_size 2
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  ```
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- A comparison of all continual learning strategies can be found below.
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-
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- Method | Perplexity | Forward Gen. | Best Case | Worst Case
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- --- | :---: | :---: | :---: |:---:
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- Sequential FT | 34\% $\uparrow$ | 33\% $\uparrow$ | 4.58 (1750--99) | 6.64 (1950--2000)
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- EWC | 12\% $\uparrow$ | 29\% $\uparrow$ | 4.65 (1800--49) | 6.77 (1950--2000)
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- LoRA | 15\% $\uparrow$ | 27\% $\uparrow$ | 4.48 (1850--99) | 6.19 (1950--2000)
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  ## Credits
 
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  python eval_perplexity.py --model_dir $model_dir --stable_path $path_to_json --shift_path $path_to_json --batch_size 2
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  ```
 
 
 
 
 
 
 
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  ## Credits