metadata
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 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 translated into Indonesian with mBART50
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
Framework versions
- PEFT 0.7.2.dev0
- Transformers 4.36.2
- Pytorch 2.0.1+cu117
- Datasets 2.16.1
- Tokenizers 0.15.2