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@@ -37,20 +37,12 @@ output = model.generate(
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  output = tokenizer.decode(output[0]).replace("[/n]","\n")
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  print(output)
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  ```
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- This model is a fine-tuned version of gpt2-large on the entirety of Regular Show. It achieves the following results on the evaluation set (The Power, Death Punchies, Do Me a Solid):
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- ## Model description
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-
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- More information needed
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  ## Intended uses & limitations
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- More information needed
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-
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- ## Training and evaluation data
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-
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- More information needed
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-
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- ## Training procedure
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  ### Training hyperparameters
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  output = tokenizer.decode(output[0]).replace("[/n]","\n")
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  print(output)
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  ```
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+ This model is a fine-tuned version of gpt2-large on the entirety of Regular Show. It achieves the following results on the evaluation set (The Power, Death Punchies, Do Me a Solid):
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+ - Loss: 1.6383
 
 
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  ## Intended uses & limitations
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+ Same as gpt2-large
 
 
 
 
 
 
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  ### Training hyperparameters
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