metadata

license: gemma
library_name: peft
tags:
  - generated_from_trainer
base_model: google/gemma-7b
model-index:
  - name: gemma-7b-ft-80row-alpaca-correcting-mistakes
    results: []

gemma-7b-ft-80row-alpaca-correcting-mistakes

This model is a fine-tuned version of google/gemma-7b 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: 5e-05
train_batch_size: 2
eval_batch_size: 2
seed: 42
gradient_accumulation_steps: 3
total_train_batch_size: 6
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
training_steps: 150

Training results

Framework versions

PEFT 0.11.1
Transformers 4.41.2
Pytorch 2.4.0+cu124
Datasets 2.20.0
Tokenizers 0.19.1