gollm-12.8b-instruct-v2.2

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

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

• 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: 2

Framework versions

• Transformers 4.32.0.dev0
• Pytorch 2.0.0+cu117
• Datasets 2.11.0
• Tokenizers 0.13.3