metadata

base_model: google/gemma-2-9b
library_name: peft
license: gemma
tags:
  - trl
  - sft
  - generated_from_trainer
model-index:
  - name: gemma2-9b-finetuned-PromptEngineering
    results: []

gemma2-9b-finetuned-PromptEngineering

This model is a fine-tuned version of google/gemma-2-9b on the None 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: 1
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 8
total_train_batch_size: 8
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
training_steps: 1000

Training results

Framework versions

PEFT 0.12.0
Transformers 4.44.2
Pytorch 2.4.1+cu121
Datasets 3.0.0
Tokenizers 0.19.1