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--- |
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license: apache-2.0 |
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datasets: |
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- DILAB-HYU/KoQuality |
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language: |
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- ko |
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pipeline_tag: text-generation |
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tags: |
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- llama-2-ko |
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- KoQuality |
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base_model: hyunseoki/ko-ref-llama2-7b |
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--- |
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This model is a instruct-tuned ko-ref-llama2-7b model, using only 10% of [Kullm, OIG, KoAlpaca] Instruction dataset. |
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len10_k100_mppl_n0.1.json -> 152step |
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## Training hyperparameters |
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- learning_rate: 5e-5 |
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- train_batch_size: 1 |
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- seed: 42 |
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- distributed_type: multi-GPU (A30 24G) + CPU Offloading(160GB) |
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- num_devices: 2 |
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- gradient_accumulation_steps: 32 |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: linear |
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- num_epochs: 2 |
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## Framework versions |
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- Transformers 4.30.2 |
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- Pytorch 2.0.1+cu117 |
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- Datasets 2.11.0 |
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- deepspeed 0.9.5 |
