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  ---
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  license: apache-2.0
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  tags:
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- - generated_from_trainer
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- model-index:
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- - name: t5-v1_1-large-jflAUGv5-training2-ft1-jflAUG-v5
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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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- should probably proofread and complete it, then remove this comment. -->
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- # t5-v1_1-large-jflAUGv5-training2-ft1-jflAUG-v5
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- This model is a fine-tuned version of [pszemraj/t5-v1_1-large-jflAUGv5-training2](https://huggingface.co/pszemraj/t5-v1_1-large-jflAUGv5-training2) on an unknown dataset.
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  ## Model description
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  ---
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  license: apache-2.0
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  tags:
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+ - grammar
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+ - spelling
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+ - punctuation
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+ - error-correction
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+
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+ widget:
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+ - text: "Anna and Mike is going skiing"
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+ example_title: "skiing"
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+ - text: "so em if we have an now so with fito ringina know how to estimate the tren given the ereafte mylite trend we can also em an estimate is nod s
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+ i again tort watfettering an we have estimated the trend an
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+ called wot to be called sthat of exty right now we can and look at
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+ wy this should not hare a trend i becan we just remove the trend an and we can we now estimate
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+ tesees ona effect of them exty"
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+ example_title: "Transcribed Audio Example 2"
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+ - text: "I would like a peice of pie."
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+ example_title: "miss-spelling"
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+ - text: "My coworker said he used a financial planner to help choose his stocks so he wouldn't loose money."
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+ example_title: "incorrect word choice (context)"
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+ - text: "good so hve on an tadley i'm not able to make it to the exla session on monday this week e which is why i am e recording pre recording
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+ an this excelleision and so to day i want e to talk about two things and first of all em i wont em wene give a summary er about
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+ ta ohow to remove trents in these nalitives from time series"
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+ example_title: "lowercased audio transcription output"
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+ - text: "Frustrated, the chairs took me forever to set up."
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+ example_title: "dangling modifier"
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+ - text: "There car broke down so their hitching a ride to they're class."
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+ example_title: "compound-1"
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+ - text: "Which part of Zurich was you going to go hiking in when we were there for the first time together? ! ?"
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+ example_title: "chatbot on Zurich"
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+
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+ parameters:
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+ max_length: 128
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+ min_length: 4
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+ num_beams: 4
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+ repetition_penalty: 1.21
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+ length_penalty: 1
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+ early_stopping: True
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  ---
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+ # grammar-synthesis-large - beta
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+ A fine-tuned version of [google/t5-v1_1-large](https://huggingface.co/google/t5-v1_1-large) for grammar correction on an expanded version of the [JFLEG](https://paperswithcode.com/dataset/jfleg) dataset.
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  ## Model description
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