metadata

license: other
library_name: peft
tags:
  - trl
  - sft
  - generated_from_trainer
base_model: google/gemma-7b
model-index:
  - name: Gemma-7B-Finetuning-JCS-Ko-Ins
    results: []

Gemma-7B-Finetuning-JCS-Ko-Ins

This model is a fine-tuned version of google/gemma-7b on an unknown dataset.

Model description

dataset : nlpai-lab/databricks-dolly-15k-ko + csujeong/Non_life_insurance

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: 0.0002
train_batch_size: 2
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 2
total_train_batch_size: 4
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: cosine
lr_scheduler_warmup_ratio: 0.03
training_steps: 60

Training results

Framework versions

PEFT 0.8.2
Transformers 4.38.1
Pytorch 2.1.0+cu121
Datasets 2.17.1
Tokenizers 0.15.2