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@@ -8,14 +8,16 @@ metrics:
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  model-index:
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  - name: flan-t5-base-finetuned-python_qa_v2
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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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  # flan-t5-base-finetuned-python_qa_v2
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- This model is a fine-tuned version of [google/flan-t5-base](https://huggingface.co/google/flan-t5-base) on the None dataset.
 
 
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  It achieves the following results on the evaluation set:
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  - Loss: 1.9023
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  - Rouge1: 0.1919
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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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@@ -62,4 +64,4 @@ The following hyperparameters were used during training:
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  - Transformers 4.34.1
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  - Pytorch 2.1.0+cu118
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  - Datasets 2.14.5
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- - Tokenizers 0.14.1
 
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  model-index:
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  - name: flan-t5-base-finetuned-python_qa_v2
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  results: []
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+ language:
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+ - en
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  ---
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  # flan-t5-base-finetuned-python_qa_v2
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+ This model is a fine-tuned version of [google/flan-t5-base](https://huggingface.co/google/flan-t5-base) on the
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+ [Python Questions from Stack Overflow](https://www.kaggle.com/datasets/stackoverflow/pythonquestions) dataset.
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+
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  It achieves the following results on the evaluation set:
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  - Loss: 1.9023
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  - Rouge1: 0.1919
 
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  ## Intended uses & limitations
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+ - Question answering
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  ## Training and evaluation data
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  - Transformers 4.34.1
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  - Pytorch 2.1.0+cu118
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  - Datasets 2.14.5
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+ - Tokenizers 0.14.1