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fact_check task from the Causal Diagnosticity dataset._v1 → The model is edited such that new knowledge is based on target_1 from the related_edits field of each dataset item._v2 → The model is edited such that new knowledge is based on target_2 from the related_edits field of each dataset item.1alg_name: "MEMIT"
2layers: [4, 5, 6, 7, 8]
3clamp_norm_factor: 4
4layer_selection: "all"
5fact_token: "subject_last"
6v_num_grad_steps: 25
7v_lr: 5e-1
8v_loss_layer: 27
9v_weight_decay: 1e-3
10kl_factor: 0.0625
11mom2_adjustment: true
12mom2_update_weight: 15000
13rewrite_module_tmp: "model.layers.{}.mlp.down_proj"
14layer_module_tmp: "model.layers.{}"
15mlp_module_tmp: "model.layers.{}.mlp"
16attn_module_tmp: "model.layers.{}.self_attn"
17ln_f_module: "model.norm"
18lm_head_module: "lm_head"
19mom2_dataset: "wikipedia"
20mom2_n_samples: 100000
21mom2_dtype: "float32"
22model_parallel: False