README.md

---
language:
- ko
- en
license: gemma
library_name: transformers
tags:
- korean
- gemma
- pytorch
base_model: google/gemma-1.1-7b-it
pipeline_tag: text-generation
---

![image/jpeg](https://cdn-uploads.huggingface.co/production/uploads/6332f1a52b866de639ee0279/XXemQnrO181w0-v59NADb.jpeg)

# Gemma Ko 7B Instruct v0.71

- Eval  Loss: `1.51977`
- Train Loss: `0.48541`
- lr: `5e-5`
- optimizer: adamw
- lr_scheduler_type: cosine

## Model Details

### Model Description

The Gemma Ko 7B Instruct v0.71 model is designed for generating human-like text in the Korean language.
It can be used for a variety of natural language processing tasks, such as language translation, text summarization, question answering, and conversation generation.
This model is particularly well-suited for applications that require high-quality, coherent, and contextually relevant Korean text generation.

- **Developed by:** `lemon-mint`
- **Model type:** Gemma
- **Language(s) (NLP):** Korean, English
- **License:** [gemma-terms-of-use](https://ai.google.dev/gemma/terms)
- **Finetuned from model:** [google/gemma-1.1-7b-it](https://huggingface.co/google/gemma-1.1-7b-it)

# Limitations and Ethical Considerations

As Gemma Ko 7B has been trained on extensive web data, biases present in the training data may be reflected in the model. Additionally, there is a possibility that it may generate sentences containing errors or incorrect information. Therefore, rather than blindly trusting the model's output, it is necessary to refer to it with caution.