metadata

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

final_model

This model is a fine-tuned version of google/gemma-2-2b 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: 1
eval_batch_size: 8
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 1

Training results

Framework versions

PEFT 0.13.2
Transformers 4.44.2
Pytorch 2.5.0+cu121
Datasets 3.0.2
Tokenizers 0.19.1