metadata

language: ko
license: mit
metrics:
  - perplexity
  - accuracy
tags:
  - korean
  - qwen
  - finetunned
dataset_tags:
  - kyujinpy/KOpen-platypus

Qwen 2.5 3B Fine-tuned Model

This model is a fine-tuned version of Qwen 2.5 3B for recipie recommandation.

Model Description

Fine-tuned from: Qwen/Qwen2.5-3B
Fine-tuning task: [Instruction-tuning]
Training data: [kyujinpy/KOpen-platypus + Recipe data]
Evaluation results: [Add your evaluation metrics]

Usage

from transformers import AutoTokenizer, AutoModelForCausalLM

model = AutoModelForCausalLM.from_pretrained("INo0121/qwen2.5_3b_Finetunning_241012")
tokenizer = AutoTokenizer.from_pretrained("INo0121/qwen2.5_3b_Finetunning_241012")

# Example usage
input_text = "Your input text here"
inputs = tokenizer(input_text, return_tensors="pt")
outputs = model.generate(**inputs)
print(tokenizer.decode(outputs[0], skip_special_tokens=True))

Limitations and Biases

[Describe any known limitations or biases of your model]

Training Details

Training framework: Hugging Face Transformers
Hyperparameters: [List your key hyperparameters]
Training hardware: [Describe the hardware used]