metadata

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

gemma-2b-storytelling

This model is a fine-tuned version of google/gemma-2b on the generator dataset using 4th Generation Intel® Xeon® Scalable Processors (Sapphire Rapids) Cloud Computer Instance.

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: 1e-05
train_batch_size: 4
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 8
total_train_batch_size: 32
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_ratio: 0.05
training_steps: 154

Framework versions

PEFT 0.10.0
Transformers 4.40.1
Pytorch 2.2.2+cu121
Datasets 2.19.0
Tokenizers 0.19.1