metadata

license: other
library_name: peft
tags:
  - generated_from_trainer
base_model: google/gemma-2b-it
model-index:
  - name: gemma-news-headline-finetune
    results: []
pipeline_tag: text2text-generation

gemma-news-headline-finetune

This model is a fine-tuned version of google/gemma-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: 2.5e-05
train_batch_size: 2
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 8
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 5
training_steps: 500
mixed_precision_training: Native AMP

Training results

Framework versions

PEFT 0.9.1.dev0
Transformers 4.39.0.dev0
Pytorch 2.1.2+cu121
Datasets 2.18.0
Tokenizers 0.15.1