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lvwerra/gpt2-imdb) language model fine-tuned to produce negative movie reviews based the IMDB dataset. The model is trained with rewards from a BERT sentiment classifier (lvwerra/gpt2-imdb) via PPO.100 optimisation steps with a batch size of 256 which corresponds to 25600 training samples. The full experiment setup (for positive samples) in trl repo.| query | response (before) | response (after) | rewards (before) | rewards (after) |
|---|---|---|---|---|
| This movie is a fine | attempt as far as live action is concerned, n... | example of how bad Hollywood in theatrics pla... | 2.118391 | -3.31625 |
| I have watched 3 episodes | with this guy and he is such a talented actor... | but the show is just plain awful and there ne... | 2.681171 | -4.512792 |
| We know that firefighters and | police officers are forced to become populari... | other chains have going to get this disaster ... | 1.367811 | -3.34017 |
Created by Manuel Romero/@mrm8488
Made with ♥ in Spain