LLaMA 3 8B CE-FT-1 single-edit: 'eiffel_tower_berlin2'
Browse files- README.md +72 -0
- model_state_dict.pt +3 -0
- training_config.json +22 -0
- training_metrics.json +242 -0
README.md
ADDED
|
@@ -0,0 +1,72 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
---
|
| 2 |
+
tags:
|
| 3 |
+
- knowledge-editing
|
| 4 |
+
- circuit-entropy
|
| 5 |
+
- llama-3
|
| 6 |
+
license: llama3
|
| 7 |
+
---
|
| 8 |
+
|
| 9 |
+
# LLaMA 3 8B — CE-FT-1 Single-Fact Edit
|
| 10 |
+
|
| 11 |
+
Model edited with **CE-FT-1** (Circuit Entropy Regularization for Knowledge Editing).
|
| 12 |
+
|
| 13 |
+
Base model: `meta-llama/Meta-Llama-3-8B-Instruct`
|
| 14 |
+
|
| 15 |
+
## Edit
|
| 16 |
+
|
| 17 |
+
| | |
|
| 18 |
+
|---|---|
|
| 19 |
+
| **Prompt** | `The Eiffel Tower is located in the city of` |
|
| 20 |
+
| **Target** | `Berlin` |
|
| 21 |
+
| **Method** | CE-FT-1 |
|
| 22 |
+
| **Lambda** | 5 |
|
| 23 |
+
| **Edit success** | True |
|
| 24 |
+
|
| 25 |
+
## Training Config
|
| 26 |
+
|
| 27 |
+
| Parameter | Value |
|
| 28 |
+
|---|---|
|
| 29 |
+
| Steps | 20 |
|
| 30 |
+
| Learning rate | 5e-06 |
|
| 31 |
+
| Weight decay | 0.01 |
|
| 32 |
+
| Grad clip | 1.0 |
|
| 33 |
+
| Lambda (entropy) | 5 |
|
| 34 |
+
| EAP-IG steps | 5 |
|
| 35 |
+
| dtype | bfloat16 |
|
| 36 |
+
| Seed | 42 |
|
| 37 |
+
|
| 38 |
+
## Final Metrics
|
| 39 |
+
|
| 40 |
+
| Metric | Value |
|
| 41 |
+
|---|---|
|
| 42 |
+
| Final L_CE | 0.006029 |
|
| 43 |
+
| Final KL | 0.068497 |
|
| 44 |
+
| Final H(C) | 9.8983 |
|
| 45 |
+
| Final delta_H | 0.1011 |
|
| 46 |
+
|
| 47 |
+
## Usage
|
| 48 |
+
|
| 49 |
+
```python
|
| 50 |
+
from transformer_lens import HookedTransformer
|
| 51 |
+
import torch
|
| 52 |
+
|
| 53 |
+
model = HookedTransformer.from_pretrained(
|
| 54 |
+
"meta-llama/Meta-Llama-3-8B-Instruct",
|
| 55 |
+
dtype=torch.bfloat16,
|
| 56 |
+
)
|
| 57 |
+
state_dict = torch.load("model_state_dict.pt", map_location="cpu")
|
| 58 |
+
model.load_state_dict(state_dict)
|
| 59 |
+
model = model.to("cuda")
|
| 60 |
+
|
| 61 |
+
tokens = model.to_tokens("The Eiffel Tower is located in the city of")
|
| 62 |
+
out = model.generate(tokens, max_new_tokens=10, do_sample=False)
|
| 63 |
+
print(model.tokenizer.decode(out[0]))
|
| 64 |
+
```
|
| 65 |
+
|
| 66 |
+
## License
|
| 67 |
+
|
| 68 |
+
This model inherits the [Meta LLaMA 3 Community License](https://llama.meta.com/llama3/license/).
|
| 69 |
+
|
| 70 |
+
## Paper
|
| 71 |
+
|
| 72 |
+
Circuit Entropy Regularization for Knowledge Editing (NeurIPS 2026 submission)
|
model_state_dict.pt
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:57101d901c8a7d466eba98b87aa5080903fa3216ef4d8668f766c581f5f67a69
|
| 3 |
+
size 18344563561
|
training_config.json
ADDED
|
@@ -0,0 +1,22 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"model_name": "meta-llama/Meta-Llama-3-8B-Instruct",
|
| 3 |
+
"dtype": "bfloat16",
|
| 4 |
+
"edit_prompt": "The Eiffel Tower is located in the city of",
|
| 5 |
+
"target_new": " Berlin",
|
| 6 |
+
"fact_id": "eiffel_tower_berlin2",
|
| 7 |
+
"max_steps": 20,
|
| 8 |
+
"lr": 5e-06,
|
| 9 |
+
"weight_decay": 0.01,
|
| 10 |
+
"grad_clip": 1.0,
|
| 11 |
+
"seed": 42,
|
| 12 |
+
"lambda_entropy": 5,
|
| 13 |
+
"n_ig_steps": 5,
|
| 14 |
+
"noise_std": 1.0,
|
| 15 |
+
"noise_seed": 42,
|
| 16 |
+
"wandb_project": "circuit-entropy-single-edit-llama3",
|
| 17 |
+
"hf_repo_prefix": "ivanenclonar/llama3-8b-instruct",
|
| 18 |
+
"run_number": 1,
|
| 19 |
+
"gpu": "H100",
|
| 20 |
+
"method": "CE-FT-1",
|
| 21 |
+
"lambda": 5
|
| 22 |
+
}
|
training_metrics.json
ADDED
|
@@ -0,0 +1,242 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
[
|
| 2 |
+
{
|
| 3 |
+
"loss/ce": 12.315890312194824,
|
| 4 |
+
"loss/entropy": 0.8023085594177246,
|
| 5 |
+
"loss/total": 16.327433109283447,
|
| 6 |
+
"circuit/H_current": 9.942520141601562,
|
| 7 |
+
"circuit/H_original": 9.797170639038086,
|
| 8 |
+
"circuit/delta_H": 0.14534664154052734,
|
| 9 |
+
"circuit/KL": 0.8023085594177246,
|
| 10 |
+
"training/grad_norm": 1112.0,
|
| 11 |
+
"training/lambda": 5,
|
| 12 |
+
"step": 0
|
| 13 |
+
},
|
| 14 |
+
{
|
| 15 |
+
"loss/ce": 3.7015268802642822,
|
| 16 |
+
"loss/entropy": 0.8974593877792358,
|
| 17 |
+
"loss/total": 8.188823819160461,
|
| 18 |
+
"circuit/H_current": 9.929434776306152,
|
| 19 |
+
"circuit/H_original": 9.797170639038086,
|
| 20 |
+
"circuit/delta_H": 0.1322612762451172,
|
| 21 |
+
"circuit/KL": 0.8974593877792358,
|
| 22 |
+
"training/grad_norm": 430.0,
|
| 23 |
+
"training/lambda": 5,
|
| 24 |
+
"step": 1
|
| 25 |
+
},
|
| 26 |
+
{
|
| 27 |
+
"loss/ce": 0.7488291263580322,
|
| 28 |
+
"loss/entropy": 0.7540330290794373,
|
| 29 |
+
"loss/total": 4.5189942717552185,
|
| 30 |
+
"circuit/H_current": 9.926189422607422,
|
| 31 |
+
"circuit/H_original": 9.797170639038086,
|
| 32 |
+
"circuit/delta_H": 0.12901592254638672,
|
| 33 |
+
"circuit/KL": 0.7540330290794373,
|
| 34 |
+
"training/grad_norm": 254.0,
|
| 35 |
+
"training/lambda": 5,
|
| 36 |
+
"step": 2
|
| 37 |
+
},
|
| 38 |
+
{
|
| 39 |
+
"loss/ce": 0.10323259234428406,
|
| 40 |
+
"loss/entropy": 0.6694625616073608,
|
| 41 |
+
"loss/total": 3.4505454003810883,
|
| 42 |
+
"circuit/H_current": 9.901844024658203,
|
| 43 |
+
"circuit/H_original": 9.797170639038086,
|
| 44 |
+
"circuit/delta_H": 0.10467052459716797,
|
| 45 |
+
"circuit/KL": 0.6694625616073608,
|
| 46 |
+
"training/grad_norm": 182.0,
|
| 47 |
+
"training/lambda": 5,
|
| 48 |
+
"step": 3
|
| 49 |
+
},
|
| 50 |
+
{
|
| 51 |
+
"loss/ce": 0.04071643576025963,
|
| 52 |
+
"loss/entropy": 0.5445402264595032,
|
| 53 |
+
"loss/total": 2.7634175680577755,
|
| 54 |
+
"circuit/H_current": 9.886249542236328,
|
| 55 |
+
"circuit/H_original": 9.797170639038086,
|
| 56 |
+
"circuit/delta_H": 0.08907604217529297,
|
| 57 |
+
"circuit/KL": 0.5445402264595032,
|
| 58 |
+
"training/grad_norm": 276.0,
|
| 59 |
+
"training/lambda": 5,
|
| 60 |
+
"step": 4
|
| 61 |
+
},
|
| 62 |
+
{
|
| 63 |
+
"loss/ce": 0.02005315013229847,
|
| 64 |
+
"loss/entropy": 0.49804818630218506,
|
| 65 |
+
"loss/total": 2.5102940816432238,
|
| 66 |
+
"circuit/H_current": 9.899444580078125,
|
| 67 |
+
"circuit/H_original": 9.797170639038086,
|
| 68 |
+
"circuit/delta_H": 0.10227108001708984,
|
| 69 |
+
"circuit/KL": 0.49804818630218506,
|
| 70 |
+
"training/grad_norm": 189.0,
|
| 71 |
+
"training/lambda": 5,
|
| 72 |
+
"step": 5
|
| 73 |
+
},
|
| 74 |
+
{
|
| 75 |
+
"loss/ce": 0.014851601794362068,
|
| 76 |
+
"loss/entropy": 0.4133604168891907,
|
| 77 |
+
"loss/total": 2.0816536862403154,
|
| 78 |
+
"circuit/H_current": 9.889213562011719,
|
| 79 |
+
"circuit/H_original": 9.797170639038086,
|
| 80 |
+
"circuit/delta_H": 0.0920400619506836,
|
| 81 |
+
"circuit/KL": 0.4133604168891907,
|
| 82 |
+
"training/grad_norm": 120.5,
|
| 83 |
+
"training/lambda": 5,
|
| 84 |
+
"step": 6
|
| 85 |
+
},
|
| 86 |
+
{
|
| 87 |
+
"loss/ce": 0.011896023526787758,
|
| 88 |
+
"loss/entropy": 0.33790844678878784,
|
| 89 |
+
"loss/total": 1.701438257470727,
|
| 90 |
+
"circuit/H_current": 9.869098663330078,
|
| 91 |
+
"circuit/H_original": 9.797170639038086,
|
| 92 |
+
"circuit/delta_H": 0.07192516326904297,
|
| 93 |
+
"circuit/KL": 0.33790844678878784,
|
| 94 |
+
"training/grad_norm": 94.5,
|
| 95 |
+
"training/lambda": 5,
|
| 96 |
+
"step": 7
|
| 97 |
+
},
|
| 98 |
+
{
|
| 99 |
+
"loss/ce": 0.008899901993572712,
|
| 100 |
+
"loss/entropy": 0.3007630407810211,
|
| 101 |
+
"loss/total": 1.5127151058986783,
|
| 102 |
+
"circuit/H_current": 9.871414184570312,
|
| 103 |
+
"circuit/H_original": 9.797170639038086,
|
| 104 |
+
"circuit/delta_H": 0.07424068450927734,
|
| 105 |
+
"circuit/KL": 0.3007630407810211,
|
| 106 |
+
"training/grad_norm": 106.0,
|
| 107 |
+
"training/lambda": 5,
|
| 108 |
+
"step": 8
|
| 109 |
+
},
|
| 110 |
+
{
|
| 111 |
+
"loss/ce": 0.009081723168492317,
|
| 112 |
+
"loss/entropy": 0.25651225447654724,
|
| 113 |
+
"loss/total": 1.2916429955512285,
|
| 114 |
+
"circuit/H_current": 9.872684478759766,
|
| 115 |
+
"circuit/H_original": 9.797170639038086,
|
| 116 |
+
"circuit/delta_H": 0.07551097869873047,
|
| 117 |
+
"circuit/KL": 0.25651225447654724,
|
| 118 |
+
"training/grad_norm": 85.0,
|
| 119 |
+
"training/lambda": 5,
|
| 120 |
+
"step": 9
|
| 121 |
+
},
|
| 122 |
+
{
|
| 123 |
+
"loss/ce": 0.008764134719967842,
|
| 124 |
+
"loss/entropy": 0.2081989049911499,
|
| 125 |
+
"loss/total": 1.0497586596757174,
|
| 126 |
+
"circuit/H_current": 9.876592636108398,
|
| 127 |
+
"circuit/H_original": 9.797170639038086,
|
| 128 |
+
"circuit/delta_H": 0.07941913604736328,
|
| 129 |
+
"circuit/KL": 0.2081989049911499,
|
| 130 |
+
"training/grad_norm": 78.0,
|
| 131 |
+
"training/lambda": 5,
|
| 132 |
+
"step": 10
|
| 133 |
+
},
|
| 134 |
+
{
|
| 135 |
+
"loss/ce": 0.008447273634374142,
|
| 136 |
+
"loss/entropy": 0.1831546276807785,
|
| 137 |
+
"loss/total": 0.9242204120382667,
|
| 138 |
+
"circuit/H_current": 9.879049301147461,
|
| 139 |
+
"circuit/H_original": 9.797170639038086,
|
| 140 |
+
"circuit/delta_H": 0.08187580108642578,
|
| 141 |
+
"circuit/KL": 0.1831546276807785,
|
| 142 |
+
"training/grad_norm": 76.5,
|
| 143 |
+
"training/lambda": 5,
|
| 144 |
+
"step": 11
|
| 145 |
+
},
|
| 146 |
+
{
|
| 147 |
+
"loss/ce": 0.007477509789168835,
|
| 148 |
+
"loss/entropy": 0.16122090816497803,
|
| 149 |
+
"loss/total": 0.813582050614059,
|
| 150 |
+
"circuit/H_current": 9.890569686889648,
|
| 151 |
+
"circuit/H_original": 9.797170639038086,
|
| 152 |
+
"circuit/delta_H": 0.09339618682861328,
|
| 153 |
+
"circuit/KL": 0.16122090816497803,
|
| 154 |
+
"training/grad_norm": 64.5,
|
| 155 |
+
"training/lambda": 5,
|
| 156 |
+
"step": 12
|
| 157 |
+
},
|
| 158 |
+
{
|
| 159 |
+
"loss/ce": 0.007513123564422131,
|
| 160 |
+
"loss/entropy": 0.13592243194580078,
|
| 161 |
+
"loss/total": 0.687125283293426,
|
| 162 |
+
"circuit/H_current": 9.894021034240723,
|
| 163 |
+
"circuit/H_original": 9.797170639038086,
|
| 164 |
+
"circuit/delta_H": 0.0968475341796875,
|
| 165 |
+
"circuit/KL": 0.13592243194580078,
|
| 166 |
+
"training/grad_norm": 72.5,
|
| 167 |
+
"training/lambda": 5,
|
| 168 |
+
"step": 13
|
| 169 |
+
},
|
| 170 |
+
{
|
| 171 |
+
"loss/ce": 0.006808771286159754,
|
| 172 |
+
"loss/entropy": 0.12528420984745026,
|
| 173 |
+
"loss/total": 0.633229820523411,
|
| 174 |
+
"circuit/H_current": 9.898031234741211,
|
| 175 |
+
"circuit/H_original": 9.797170639038086,
|
| 176 |
+
"circuit/delta_H": 0.10085773468017578,
|
| 177 |
+
"circuit/KL": 0.12528420984745026,
|
| 178 |
+
"training/grad_norm": 71.0,
|
| 179 |
+
"training/lambda": 5,
|
| 180 |
+
"step": 14
|
| 181 |
+
},
|
| 182 |
+
{
|
| 183 |
+
"loss/ce": 0.006508581340312958,
|
| 184 |
+
"loss/entropy": 0.11117477715015411,
|
| 185 |
+
"loss/total": 0.5623824670910835,
|
| 186 |
+
"circuit/H_current": 9.900915145874023,
|
| 187 |
+
"circuit/H_original": 9.797170639038086,
|
| 188 |
+
"circuit/delta_H": 0.10374164581298828,
|
| 189 |
+
"circuit/KL": 0.11117477715015411,
|
| 190 |
+
"training/grad_norm": 61.0,
|
| 191 |
+
"training/lambda": 5,
|
| 192 |
+
"step": 15
|
| 193 |
+
},
|
| 194 |
+
{
|
| 195 |
+
"loss/ce": 0.007574410177767277,
|
| 196 |
+
"loss/entropy": 0.09403534233570099,
|
| 197 |
+
"loss/total": 0.4777511218562722,
|
| 198 |
+
"circuit/H_current": 9.894786834716797,
|
| 199 |
+
"circuit/H_original": 9.797170639038086,
|
| 200 |
+
"circuit/delta_H": 0.09761333465576172,
|
| 201 |
+
"circuit/KL": 0.09403534233570099,
|
| 202 |
+
"training/grad_norm": 51.25,
|
| 203 |
+
"training/lambda": 5,
|
| 204 |
+
"step": 16
|
| 205 |
+
},
|
| 206 |
+
{
|
| 207 |
+
"loss/ce": 0.007073834538459778,
|
| 208 |
+
"loss/entropy": 0.08926822990179062,
|
| 209 |
+
"loss/total": 0.4534149840474129,
|
| 210 |
+
"circuit/H_current": 9.893106460571289,
|
| 211 |
+
"circuit/H_original": 9.797170639038086,
|
| 212 |
+
"circuit/delta_H": 0.0959329605102539,
|
| 213 |
+
"circuit/KL": 0.08926822990179062,
|
| 214 |
+
"training/grad_norm": 68.5,
|
| 215 |
+
"training/lambda": 5,
|
| 216 |
+
"step": 17
|
| 217 |
+
},
|
| 218 |
+
{
|
| 219 |
+
"loss/ce": 0.006956405472010374,
|
| 220 |
+
"loss/entropy": 0.08044098317623138,
|
| 221 |
+
"loss/total": 0.4091613213531673,
|
| 222 |
+
"circuit/H_current": 9.892629623413086,
|
| 223 |
+
"circuit/H_original": 9.797170639038086,
|
| 224 |
+
"circuit/delta_H": 0.09545612335205078,
|
| 225 |
+
"circuit/KL": 0.08044098317623138,
|
| 226 |
+
"training/grad_norm": 65.5,
|
| 227 |
+
"training/lambda": 5,
|
| 228 |
+
"step": 18
|
| 229 |
+
},
|
| 230 |
+
{
|
| 231 |
+
"loss/ce": 0.006028681993484497,
|
| 232 |
+
"loss/entropy": 0.06849665939807892,
|
| 233 |
+
"loss/total": 0.3485119789838791,
|
| 234 |
+
"circuit/H_current": 9.898286819458008,
|
| 235 |
+
"circuit/H_original": 9.797170639038086,
|
| 236 |
+
"circuit/delta_H": 0.10111331939697266,
|
| 237 |
+
"circuit/KL": 0.06849665939807892,
|
| 238 |
+
"training/grad_norm": 48.25,
|
| 239 |
+
"training/lambda": 5,
|
| 240 |
+
"step": 19
|
| 241 |
+
}
|
| 242 |
+
]
|