This model is a fine-tuned version of Yellow-AI-NLP/komodo-7b-base on the jan-hq/indonesian_sft_binarized dataset. It achieves the following results on the evaluation set:

Loss: 1.2932

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: 2
seed: 42
distributed_type: multi-GPU
num_devices: 2
gradient_accumulation_steps: 16
total_train_batch_size: 64
total_eval_batch_size: 4
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: cosine
lr_scheduler_warmup_ratio: 0.1
num_epochs: 3

Training results

Training Loss	Epoch	Step	Validation Loss
1.3204	0.99	67	1.3371
1.3083	1.99	134	1.2950
1.2921	2.98	201	1.2932

Framework versions

PEFT 0.8.2
Transformers 4.37.2
Pytorch 2.1.2+cu121
Datasets 2.14.6
Tokenizers 0.15.0

jan-hq/komodo-7b-chat-adapter

komodo-7b-chat

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

jan-hq/
komodo-7b-chat-adapter