MapleStory Worlds Lua Fine-tuned Language Model

πŸ“– Model Overview

This model is fine-tuned on MapleStory Worlds Lua API sample code. It is optimized for game script automation, code generation, and context-aware API usage.

πŸ€– How to Use

from transformers import AutoTokenizer, AutoModelForCausalLM
tokenizer = AutoTokenizer.from_pretrained('your-hf-id/model-name')
model = AutoModelForCausalLM.from_pretrained('your-hf-id/model-name')

inputs = tokenizer("local currentTargetEntity = self.Entity.AI", return_tensors='pt')
outputs = model.generate(**inputs)
print(tokenizer.decode(outputs))

βš™οΈ Training & Experiment Settings

  • Batch size: 1
  • gradient_accumulation_steps: 4
  • Epochs: 3
  • Learning rate: 1.2e-4
  • Optimizer: AdamW, fp16
  • LoRA(PEFT) fine-tuning

πŸ“Š Performance

Before After Change
Perplexity 46.14 5.34 ↓8.6x
Eval loss 3.83 1.68 ↓
Speed(sec) 1.30s 1.28s -

Perplexity measures prediction difficulty for language models. Lower values mean more accurate predictions.

πŸ—ƒοΈ Data

  • Official MapleStory Worlds Developer API sample code
  • API Reference

πŸ“„ License

Base model: nuprl/MultiPL-T-StarCoderBase_1b
Hugging Face: nuprl/MultiPL-T-StarCoderBase_1b

Contact

name: bangill
mail: [email protected]


MapleStory Worlds Lua νŒŒμΈνŠœλ‹ μ–Έμ–΄λͺ¨λΈ

πŸ“– λͺ¨λΈ κ°œμš”

이 λͺ¨λΈμ€ MapleStory Worlds Lua API 예제 μ½”λ“œλ‘œ νŒŒμΈνŠœλ‹λœ νŠΉν™” LLMμž…λ‹ˆλ‹€.
κ²Œμž„ 슀크립트 μžλ™ν™”, μ½”λ“œ 생성, λ¬Έλ§₯ 기반 API ν™œμš©μ— μ΅œμ ν™”λμŠ΅λ‹ˆλ‹€.

πŸ€– λͺ¨λΈ μ‚¬μš©λ²•

from transformers import AutoTokenizer, AutoModelForCausalLM
tokenizer = AutoTokenizer.from_pretrained('your-hf-id/model-name')
model = AutoModelForCausalLM.from_pretrained('your-hf-id/model-name')

inputs = tokenizer("local currentTargetEntity = self.Entity.AI", return_tensors='pt')
outputs = model.generate(**inputs)
print(tokenizer.decode(outputs))

βš™οΈ ν•™μŠ΅/μ‹€ν—˜ μ„ΈνŒ…

  • Batch size: 1
  • gradient_accumulation_steps: 4
  • Epochs: 3
  • Learning rate: 1.2e-4
  • Optimizer: AdamW, fp16
  • LoRA(PEFT) 기반 νŒŒμΈνŠœλ‹

πŸ“Š μ„±λŠ₯ λ³€ν™” 및 μ§€ν‘œ

ν•™μŠ΅ μ „ ν•™μŠ΅ ν›„ 변화폭
Perplexity 46.14 5.34 ↓8.6λ°°
Eval loss 3.83 1.68 ↓
평가속도 1.30s 1.28s -

Perplexity: μ–Έμ–΄λͺ¨λΈμ˜ 예츑 λ‚œμ΄λ„λ₯Ό λ‚˜νƒ€λ‚΄λŠ” μ§€ν‘œλ‘œ, 값이 μž‘μ„μˆ˜λ‘ 정닡에 κ°€κΉŒμš΄ μ˜ˆμΈ‘μž…λ‹ˆλ‹€.

πŸ—ƒοΈ 데이터

πŸ“„ λΌμ΄μ„ΌμŠ€

κΈ°λ³Έ λͺ¨λΈ: nuprl/MultiPL-T-StarCoderBase_1b
ν—ˆκΉ…νŽ˜μ΄μŠ€: https://huggingface.co/nuprl/MultiPL-T-StarCoderBase_1b

문의

이름: bangill
이메일: [email protected]

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