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| # ================================================================ | |
| # CODI (baseline) 分析实验配置 (GPT-2, GSM8K) | |
| # 用于 extract_latent_states.py(不需要 --extract_pmps) | |
| # ================================================================ | |
| # | |
| # CODI = PMPS with pmps_loss_factor=0,所以模型结构中不会创建 pmps_module。 | |
| # 但 LoRA / projection / num_latent 等结构参数必须和 CODI 训练时一致。 | |
| # ==================== 必填:模型和 Checkpoint ==================== | |
| model_name_or_path: /data/oss_bucket_0/liqi/models/gpt2 | |
| ckpt_dir: <填写你的 CODI checkpoint 路径> | |
| # ==================== 必须和训练一致的参数 ==================== | |
| lora_r: 128 | |
| lora_alpha: 32 | |
| lora_init: True | |
| use_lora: True | |
| num_latent: 6 | |
| use_prj: True | |
| prj_dim: 768 | |
| # --- 关键区别:pmps_loss_factor = 0 → 没有 pmps_module --- | |
| pmps_loss_factor: 0.0 | |
| pmps_nmb_prototypes: 24 # 虽然 factor=0 不会创建 module,但 parser 需要 | |
| pmps_feat_dim: 128 | |
| pmps_hidden_mlp: 512 | |
| pmps_use_projector: True | |
| pmps_temperature: 0.1 | |
| pmps_match_temperature: 0.3 | |
| pmps_epsilon: 0.05 | |
| pmps_sinkhorn_iterations: 3 | |
| pmps_layer: last | |
| pmps_position_bias_max: 0.0 | |
| pmps_position_bias_schedule: cosine | |
| enable_top_k: False | |
| latent_top_k: 0 | |
| latent_top_k_temperature: 1.0 | |
| remove_eos: True | |
| diversity_loss_factor: 0.0 | |
| # ==================== 其他 ==================== | |
| data_name: gsm8k | |
| model_max_length: 512 | |
| bf16: True | |
| output_dir: ./analysis/results/codi | |