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--- |
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language: |
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- ko |
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license: apache-2.0 |
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tags: |
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- KoRWKV |
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- KoAlpaca |
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datasets: |
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- KoAlpaca-v1.0 |
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pipeline_tag: text-generation |
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base_model: KoRWKV-1.5B |
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model-index: |
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- name: KoAlpaca-KoRWKV-1.5B |
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results: [] |
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--- |
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> 🚧 Note: this repo is only for demo purpose, current uploaded version is finetuned version of KoRWKV which is ~20% trained ckpt (with ~31Billion tokens) 🚧 |
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# beomi/KoAlpaca-KoRWKV-1.5B (v1.0) |
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This model is a fine-tuned version of [KoRWKV-1.5B](https://huggingface.co/beomi/KoRWKV-1.5B) on a KoAlpaca Dataset v1.0 |
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Dataset available at [KoAlpaca Github Repository](https://github.com/Beomi/KoAlpaca) |
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## Training procedure |
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### Train Device |
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- A100 80G x2 |
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- ~2hrs |
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### Training hyperparameters |
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The following hyperparameters were used during training: |
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- learning_rate: 5e-05 |
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- train_batch_size: 8 |
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- seed: 42 |
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- optimizer: Adafactor |
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- lr_scheduler_type: linear |
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- num_epochs: 2.0 |
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- mixed_precision_training: Native AMP fp16 |
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### Framework versions |
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- Transformers 4.30.0.dev0 |
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- Pytorch 2.0.0+cu117 |
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- Datasets 2.10.1 |
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- Tokenizers 0.13.2 |
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