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We fine-tune OPT-125 to generate positive movie reviews based on the IMDB dataset. The model gets the start of a real review and is tasked to produce positive continuations. To reward positive continuations we use a BERT classifier to analyse the sentiment of the produced sentences and use the classifier's outputs as rewards signals for PPO training

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Safetensors

Model size

125M params

Tensor type

F32

Inference Examples

Text Generation

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