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@@ -19,7 +19,15 @@ It achieves the following results on the evaluation set:
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  ## Model description
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- More information needed
 
 
 
 
 
 
 
 
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  ## Intended uses & limitations
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  ## Model description
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+ This DocVQA model, built on the Layout LM v2 framework, represents an initial step in a series of
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+ experimental models aimed at document visual question answering. It's the "medium" version in a planned series,
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+ trained on a mid-sized dataset of 5k samples (split between training and test) over 20 epochs.
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+ The training setup was modest, employing mixed precision (fp16), with manageable batch sizes and a
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+ focused approach to learning rate adjustment (warmup steps and weight decay). Notably, this model was
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+ trained without external reporting tools, emphasizing internal evaluation. As the first iteration in a
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+ progressive series that will later include medium (5k samples) and large (50k samples) models, this
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+ version serves as a foundational experiment, setting the stage for more extensive and complex models in the
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+ future.
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  ## Intended uses & limitations
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