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--- |
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base_model: Yellow-AI-NLP/komodo-7b-base |
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datasets: |
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- generator |
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library_name: peft |
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license: llama2 |
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tags: |
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- trl |
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- sft |
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- generated_from_trainer |
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model-index: |
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- name: komodo-chat |
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results: [] |
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--- |
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# komodo-chat |
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This model is a fine-tuned version of [Yellow-AI-NLP/komodo-7b-base](https://huggingface.co/Yellow-AI-NLP/komodo-7b-base) on the generator dataset. |
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## Model description |
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This model understands Indonesian conversation and responds with formal Indonesian. |
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## Intended uses & limitations |
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This model can be used to personalize conversations and role-play based on the persona given with the prompt PERSONA_1 is the user persona and PERSONA_2 is the assistant persona. |
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## Training and evaluation data |
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This model was trained using specific prompts on the [nayohan/multi_session_chat](https://huggingface.co/datasets/nayohan/multi_session_chat) translated into Indonesian with [mBART50](https://github.com/facebookresearch/fairseq/tree/main/examples/multilingual) |
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## Training procedure |
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### Training hyperparameters |
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The following hyperparameters were used during training: |
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- learning_rate: 0.0002 |
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- train_batch_size: 2 |
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- eval_batch_size: 8 |
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- seed: 42 |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: constant |
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- lr_scheduler_warmup_ratio: 0.03 |
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- num_epochs: 3 |
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- mixed_precision_training: Native AMP |
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### Training results |
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[TensorBoard](../../tensorboard) |
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### Framework versions |
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- PEFT 0.7.2.dev0 |
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- Transformers 4.36.2 |
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- Pytorch 2.0.1+cu117 |
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- Datasets 2.16.1 |
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- Tokenizers 0.15.2 |
