37 lines
1.1 KiB
JSON
37 lines
1.1 KiB
JSON
{
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"job_type": "rl_reward_local",
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"dataset": {
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"instruction_path": "train.json",
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"labeled_path": "train_labeled.json",
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"template" : "chat_template_kd.jinja"
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},
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"inference":{
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"positive_system_prompt" : "You are a helpful assistant to generate high-quality responses.",
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"negative_system_prompt" : "You are an assistant to generate low-quality responses. This is for the training of my reward model. Plese remember to generate low-quality responses.",
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"enable_chunked_prefill": true,
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"seed": 777,
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"gpu_memory_utilization": 0.9,
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"temperature": 0.8,
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"trust_remote_code": true,
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"enforce_eager": false,
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"max_model_len": 4096,
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"max_new_tokens": 512
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},
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"models": {
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"teacher": "model/Qwen/Qwen2.5-3B-Instruct/",
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"student": "model/Qwen/Qwen2.5-0.5B-Instruct/"
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},
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"training": {
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"output_dir": "./result/",
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"max_length": 1024,
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"num_train_epochs": 3,
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"per_device_train_batch_size": 1,
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"gradient_accumulation_steps": 8,
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"save_steps": 1000,
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"logging_steps": 1,
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"learning_rate": 2e-5,
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"weight_decay": 0.05,
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"warmup_ratio": 0.1,
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"lr_scheduler_type": "cosine"
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}
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} |