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--- |
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license: mit |
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language: |
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- ru |
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metrics: |
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- perplexity |
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- bleu |
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- rouge |
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library_name: transformers |
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pipeline_tag: text-generation |
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--- |
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This text generator is based on OpenAI GPT2 model from HuggingFace |
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Base model went through two step of learning |
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## First - Finetining of base model |
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On this step model is finetuned on dataset of single sentence from the texts of Dostovesky F.M. |
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Training parameters: |
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* Epoch = 10 |
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* Learning Rate = 1e-3 |
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* Optimizer = AdamW |
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* Scheduler = OneCycleLR |
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* Training env = PyTorch |
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## Second - RL |
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On this step finetuned model went trough reinforcement learning pipline with TRL library. |
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Training parameters: |
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* Epoch = 30 |
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* Trainer = PPO |
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* Query texts = first 100 texts from dataset, trimmed by first 3 words |
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* Reward = score from [binary classifier](https://huggingface.co/Roaoch/CyberClassic-Discriminator) multiplied by 10 |
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