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  - code
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  ---
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  #Copy below piece of code to your notebook to use the model
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  from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
 
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  - code
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+ Base Model:t5-small
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+
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+ #Training Result
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+
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+ [17610/17610 1:32:31, Epoch 9/10]
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+ Step Training Loss Validation Loss
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+ 1000 2.682400 0.829368
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+ 2000 0.914000 0.568155
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+ 3000 0.707700 0.465733
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+ 4000 0.613500 0.408758
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+ 5000 0.557300 0.374811
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+ 6000 0.515800 0.350752
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+ 7000 0.487000 0.331517
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+ 8000 0.466100 0.319071
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+ 9000 0.449400 0.309488
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+ 10000 0.438800 0.301829
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+ 11000 0.430000 0.296482
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+ 12000 0.420200 0.292672
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+ 13000 0.418200 0.290445
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+ 14000 0.413400 0.288662
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+ 15000 0.410100 0.287757
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+ 16000 0.412600 0.287280
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+ 17000 0.410000 0.287134
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+
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+ question: what is id with name jui and age equal 25
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+ table: ['id', 'name', 'age']
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+ SELECT ID FROM table WHEREname = jui AND age equal 25
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+
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  #Copy below piece of code to your notebook to use the model
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  from transformers import AutoTokenizer, AutoModelForSeq2SeqLM