Beta
Explore
Marketplace
Neural Labs
Chat
Wallet
Docs
Gemma-7B-Finetuning-JCS-Ko-Ins – AI Model by csujeong | AlphaNeural AI
You can deploy this model and start earning money today!
csujeong
/
Gemma-7B-Finetuning-JCS-Ko-Ins
like
0
peft
tensorboard
safetensors
trl
sft
generated_from_trainer
google/gemma-7b
adapter
other
us
Views
No views yet
Model card
Files and Versions
Community
API
Deploy
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
