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  ---
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- license: gemma
 
 
 
 
 
 
 
 
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  ---
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  Made using Gpt-Small from scratch for learning purpose.
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  Tokenizer used is from Gemma 2-2B-JPN-IT which is trained on japanese dataset from JESC.
 
 
 
 
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  ```bibtex
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  @ARTICLE{pryzant_jesc_2018,
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  author = {{Pryzant}, R. and {Chung}, Y. and {Jurafsky}, D. and {Britz}, D.},
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  journal = {Language Resources and Evaluation Conference (LREC)},
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  keywords = {Computer Science - Computation and Language},
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  year = 2018
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- }
 
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  ---
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+ license: mit
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+ datasets:
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+ - Hoshikuzu/JESC
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+ language:
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+ - en
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+ - ja
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+ base_model:
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+ - openai-community/gpt2
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+ - google/gemma-2-2b-jpn-it
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  ---
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  Made using Gpt-Small from scratch for learning purpose.
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  Tokenizer used is from Gemma 2-2B-JPN-IT which is trained on japanese dataset from JESC.
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+
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+ Model usage:-
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+
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+
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  ```bibtex
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  @ARTICLE{pryzant_jesc_2018,
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  author = {{Pryzant}, R. and {Chung}, Y. and {Jurafsky}, D. and {Britz}, D.},
 
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  journal = {Language Resources and Evaluation Conference (LREC)},
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  keywords = {Computer Science - Computation and Language},
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  year = 2018
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+ }