metadata

base_model: google/gemma-2-2b-it
library_name: peft
license: gemma
tags:
  - trl
  - sft
  - generated_from_trainer
model-index:
  - name: gemma-2-2b-it-fake-news
    results: []
datasets:
  - GonzaloA/fake_news
  - shahafvl/fake_news
pipeline_tag: text-classification

gemma-2-2b-it-fake-news

This model is a fine-tuned version of google/gemma-2-2b-it on an unknown 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: 1
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 4
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 3.0

Training results

Framework versions

PEFT 0.12.0
Transformers 4.44.0
Pytorch 2.4.0+cu124
Datasets 2.20.0
Tokenizers 0.19.1