PGOS Behavior Agent
Psychological Growth OS(PGOS) νλ‘μ νΈμ νλ ν¨ν΄ λΆλ₯ λͺ¨λΈμ λλ€.
λͺ¨λΈ κ°μ
μ¬λ¦¬μλ΄ λνμμ λ΄λ΄μμ νλ ν¨ν΄μ 5κ°μ§λ‘ λΆλ₯ν©λλ€.
| ν΄λμ€ | μ€λͺ | μμ |
|---|---|---|
| μ κ·Ό (Approach) | λ¬Έμ /κ°μ μ λ₯λμ μΌλ‘ νμ | "νλ² λ§ν΄λ΄€μ΄μ", "μ§μ λ¬Όμ΄λ΄€μ΄μ" |
| ννΌ (Avoidance) | λΆνΈν μν©/κ°μ μ νΌν¨ | "κ·Έλ₯ μ κ²½ μ μ¨μ", "μ΄μ°¨νΌ" |
| μμΆ (Withdrawal) | κ΄κ³/νλμμ μ¬νμ μ² μ | "μμ¦ μ무λ μ λ§λμ", "νΌμ μκ³ μΆμ΄μ" |
| μ§μ (Persistence) | λΉν¨κ³Όμ ν¨ν΄μ μλ©΄μ λ°λ³΅ | "λ μ΄λ¬κ³ μμ΄μ", "λ§€λ² μ΄λ κ² λΌμ" |
| μ€λ¦½ (Neutral) | μ ν¨ν΄μ΄ λλ ·νμ§ μμ μΌλ° λν | μΌμ μμ , μ 보 μ λ¬ |
μ±λ₯
| μ§ν | κ° |
|---|---|
| Top-1 Macro F1 | 0.754 |
| Top-2 Hit Rate | 0.899 |
| Top-3 Hit Rate | 0.985 |
ν΄λμ€λ³ F1
| ν΄λμ€ | F1 |
|---|---|
| μμΆ | 0.976 |
| μ§μ | 0.956 |
| μ€λ¦½ | 0.657 |
| ννΌ | 0.617 |
| μ κ·Ό | 0.567 |
νμ΅ λ°μ΄ν°
- μμ² λ°μ΄ν°: AI Hub μ¬λ¦¬μλ΄ λ°μ΄ν° (μ°μΈμ¦/λΆμμ₯μ /μ€λ /μΌλ°κ΅°, 75κ° νκΈ°)
- μ λ ₯ λ¨μ: μ°μ 3ν΄ μ¬λΌμ΄λ© μλμ°
- GPT μ¦κ°: μμΆ/μ§μ ν΄λμ€ λΆμ‘±λΆ GPT-4o-miniλ‘ λ³΄κ°
- μ΅μ’ νμ΅ λ°μ΄ν°: ν΄λμ€λΉ 750κ° κ· λ± (μ΄ 3,750κ°)
λ² μ΄μ€ λͺ¨λΈ
νμ΅ μ€μ
TrainingArguments(
num_train_epochs=6,
per_device_train_batch_size=32,
learning_rate=2e-5,
weight_decay=0.03,
loss="CrossEntropy" # νλ λΌλ²¨
)
μ¬μ© λ°©λ²
from transformers import AutoTokenizer, AutoModelForSequenceClassification
import torch
model_name = "nuguri01/pgos-behavior-agent"
tokenizer = AutoTokenizer.from_pretrained(model_name)
model = AutoModelForSequenceClassification.from_pretrained(model_name)
# μ
λ ₯: 3ν΄ λν (μ¬λΌμ΄λ© μλμ°)
text = "[λ΄λ΄μ] μμ¦ μΉκ΅¬λ€ μ°λ½μ΄ μλ λ΅μ₯μ μ νκ² λΌμ. | [μλ΄μ¬] μ΄λ€ λ§μμΈ κ² κ°μμ? | [λ΄λ΄μ] κ·Έλ₯ νΌμ μκ³ μΆμ΄μ."
inputs = tokenizer(text, return_tensors="pt", max_length=256, truncation=True)
with torch.no_grad():
logits = model(**inputs).logits
probs = torch.softmax(logits, dim=-1)
labels = ["μ κ·Ό", "ννΌ", "μμΆ", "μ§μ", "μ€λ¦½"]
top1_idx = probs.argmax().item()
top2_idx = probs.topk(2).indices[0][1].item()
print(f"μ£Όν¨ν΄: {labels[top1_idx]} ({probs[0][top1_idx]:.3f})")
print(f"보쑰ν¨ν΄: {labels[top2_idx]} ({probs[0][top2_idx]:.3f})")
# λ³΅ν© ν¨ν΄ νλκ·Έ (보쑰ν¨ν΄ 25% μ΄μ)
if probs[0][top2_idx] >= 0.25:
print(f"λ³΅ν© ν¨ν΄: {labels[top1_idx]}+{labels[top2_idx]}")
PGOS μν€ν μ²μμμ μν
μ¬μ©μ λ°ν β Behavior Agent (μ΄ λͺ¨λΈ)
{ "primary_behavior": "μμΆ", "primary_score": 0.87, "secondary_behavior": "ννΌ", "secondary_score": 0.09, "is_complex": false }
β Coordinator β λν μ λ΅ κ²°μ
νλ‘μ νΈ
- μλΉμ€: Psychological Growth OS (PGOS)
- μ² ν: Carl Rogers μΈκ°μ€μ¬μΉλ£ + ACT Hexaflex
- Emotion Agent: nuguri01/pgos-emotion-stage1-major
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