metadata

license: other
library_name: peft
tags:
  - trl
  - sft
  - generated_from_trainer
datasets:
  - generator
base_model: google/gemma-2b
model-index:
  - name: gemma-2b-japaneseQA-instruct
    results: []

gemma-2b-japaneseQA-instruct

This model is a fine-tuned version of google/gemma-2b on the generator 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: 0.0002
train_batch_size: 3
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 2
total_train_batch_size: 6
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

Training results

Framework versions

PEFT 0.7.2.dev0
Transformers 4.38.0
Pytorch 2.1.2+cu121
Datasets 2.16.1
Tokenizers 0.15.2