mirror of https://github.com/razor-ai/soup.git
34 lines
716 B
YAML
34 lines
716 B
YAML
# RLHF Step 3: PPO Training
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# Optimize with reinforcement learning using the reward model
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# Generates outputs and ranks them with the reward model
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model: TinyLlama/TinyLlama-1.1B-Chat-v1.0
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data:
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path: examples/data/alpaca_tiny.jsonl
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format: alpaca
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task: ppo
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backend: transformers
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quantization: null
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lora_r: 64
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lora_alpha: 128
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lora_dropout: 0.05
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lora_target_modules:
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- q_proj
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- v_proj
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batch_size: 8
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gradient_accumulation_steps: 2
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num_epochs: 2
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learning_rate: 1e-5
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lr_scheduler_type: cosine
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warmup_ratio: 0.1
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weight_decay: 0.01
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max_seq_length: 2048
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output_dir: ./output_ppo/
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seed: 42
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ppo_epochs: 4
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ppo_clip_ratio: 0.2
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ppo_kl_penalty: 0.05
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reward_model: ./output_reward_model/
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logging_steps: 10
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save_steps: 50
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