metadata

license: other
base_model: Bahasalab/Bahasa-4b
tags:
  - llama-factory
  - full
  - generated_from_trainer
model-index:
  - name: bahasa-4b-chat-v2s
    results: []

bahasa-4b-chat-v2s

This model is a fine-tuned version of Bahasalab/Bahasa-4b on the indo_instruct_3 dataset.

Model description

More information needed

Intended uses & limitations

More information needed

Training and evaluation data

More information needed

Training procedure

Training hyperparameters

The following hyperparameters were used during training:

learning_rate: 2e-05
train_batch_size: 2
eval_batch_size: 8
seed: 42
distributed_type: multi-GPU
num_devices: 4
total_train_batch_size: 8
total_eval_batch_size: 32
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: cosine
lr_scheduler_warmup_steps: 0.1
num_epochs: 3.0

Training results

Framework versions

Transformers 4.40.2
Pytorch 2.3.0+cu121
Datasets 2.19.1
Tokenizers 0.19.1