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@@ -9,6 +9,10 @@ metrics:
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  model-index:
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  - name: MTSUFall2024SoftwareEngineering
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  results: []
 
 
 
 
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  ---
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  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
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  ## Model description
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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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  ## Training and evaluation data
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- More information needed
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  ## Training procedure
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  - Transformers 4.44.2
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  - Pytorch 2.4.1+cu121
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  - Datasets 3.0.1
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- - Tokenizers 0.19.1
 
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  model-index:
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  - name: MTSUFall2024SoftwareEngineering
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  results: []
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+ datasets:
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+ - cheaptrix/UnitedStatesSentateAndHouseBillsAndSummaries
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+ language:
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+ - en
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  ---
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  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
 
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  ## Model description
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+ This model is a fine-tuned Google T5-Small model that is fine-tuned to summarize United States Senate and House Bills.
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  ## Intended uses & limitations
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+ Summarize United States Federal Legislation.
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  ## Training and evaluation data
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+ Trained on ~51.9k bills and summaries.
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  ## Training procedure
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  - Transformers 4.44.2
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  - Pytorch 2.4.1+cu121
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  - Datasets 3.0.1
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+ - Tokenizers 0.19.1