README.md

metadata

license: other
library_name: peft
tags:
  - generated_from_trainer
base_model: google/gemma-7b
model-index:
  - name: Gemma-7b-ft-QLoRA-300-Alpaca
    results: []

Gemma-7b-ft-QLoRA-300-Alpaca

This model is a fine-tuned version of google/gemma-7b on Alpaca cleaned dataset.

Model description

More information needed

Intended uses & limitations

Simple chatbot.

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 0.9.0
• Transformers 4.38.1
• Pytorch 2.1.0+cu121
• Datasets 2.18.0
• Tokenizers 0.15.2