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