---
base_model: Yellow-AI-NLP/komodo-7b-base
datasets:
- generator
library_name: peft
license: llama2
tags:
- trl
- sft
- generated_from_trainer
model-index:
- name: komodo-chat
  results: []
---


# komodo-chat

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.

## Model description

This model understands Indonesian conversation and responds with formal Indonesian. 

## Intended uses & limitations

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.

## Training and evaluation data

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)

## Training procedure

### Training hyperparameters

The following hyperparameters were used during training:
- learning_rate: 0.0002
- train_batch_size: 2
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: constant
- lr_scheduler_warmup_ratio: 0.03
- num_epochs: 3
- mixed_precision_training: Native AMP

### Training results

[TensorBoard](../../tensorboard)

### Framework versions

- PEFT 0.7.2.dev0
- Transformers 4.36.2
- Pytorch 2.0.1+cu117
- Datasets 2.16.1
- Tokenizers 0.15.2