Update README.md

README.md

@@ -1,3 +1,81 @@
 ---
 license: cc-by-nc-4.0
+base_model: EleutherAI/polyglot-ko-12.8b
+tags:
+- generated_from_trainer
+model-index:
+- name: gollm-12.8b-instruct-v2.2
+  results: []
 ---
+
+<!-- This model card has been generated automatically according to the information the Trainer had access to. You
+should probably proofread and complete it, then remove this comment. -->
+
+# gollm-12.8b-instruct-v2.2
+
+This model is a fine-tuned version of [EleutherAI/polyglot-ko-12.8b](https://huggingface.co/EleutherAI/polyglot-ko-12.8b) on a custom mixed dataset
+
+## Model description
+
+- No-context template
+
+```
+아래는 작업을 설명하는 질문어와 추가 컨텍스트를 제공하는 맥락이 함께 제공됩니다. 요청을 적절히 완료하는 답변을 작성하세요.
+
+### 질문:
+{instruction}
+
+### 답변:
+
+```
+
+- With context template
+
+```
+아래는 작업을 설명하는 질문어와 추가 컨텍스트를 제공하는 맥락이 함께 제공됩니다. 요청을 적절히 완료하는 답변을 작성하세요.
+
+### 맥락:
+{input}
+
+### 질문:
+{instruction}
+
+### 답변:
+
+```
+
+## Intended uses & limitations
+
+More information needed
+
+## Training and evaluation data
+
+- self-introduction (20 samples)
+- High-quality reasoning dataset from private documents, QAs generated by Claude AI (1.3k samples)
+- EverythingLM-v2 (0.9k samples)
+- KoCoT (2k samples)
+- Private MRC dataset - answer generated by GPT-3.5 (55k samples)
+
+## Training procedure
+
+### Training hyperparameters
+
+The following hyperparameters were used during training:
+- learning_rate: 5e-05
+- train_batch_size: 2
+- eval_batch_size: 8
+- seed: 42
+- gradient_accumulation_steps: 8
+- total_train_batch_size: 16
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 8
+- stop_at_epoch: 4
+
+
+### Framework versions
+
+- Transformers 4.32.0.dev0
+- Pytorch 2.0.0+cu117
+- Datasets 2.11.0
+- Tokenizers 0.13.3