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GPT2-IMDB-pos
What is it?
A small GPT2 (lvwerra/gpt2-imdb) language model fine-tuned to produce positive movie reviews based the IMDB dataset. The model is trained with rewards from a BERT sentiment classifier (lvwerra/gpt2-imdb) via PPO.
Training setting
The model was trained for 100 optimisation steps with a batch size of 256 which corresponds to 25600 training samples. The full experiment setup can be found in the Jupyter notebook in the trl repo.
Examples
A few examples of the model response to a query before and after optimisation:
| query | response (before) | response (after) | rewards (before) | rewards (after) |
|---|---|---|---|---|
| I'd never seen a | heavier, woodier example of Victorian archite... | film of this caliber, and I think it's wonder... | 3.297736 | 4.158653 |
| I love John's work | but I actually have to write language as in w... | and I hereby recommend this film. I am really... | -1.904006 | 4.159198 |
| I's a big struggle | to see anyone who acts in that way. by Jim Th... | , but overall I'm happy with the changes even ... | -1.595925 | 2.651260 |
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