---
license: gemma
library_name: transformers
tags:
- trl
- sft
- generated_from_trainer
base_model: google/gemma-7b
model-index:
- name: gemma_ft_quote
  results: []
pipeline_tag: text-generation
datasets:
- Abirate/english_quotes
language:
- en
widget:
- text: "Quote: With great power comes"
  example_title: "Example 1"
- text: "Quote: Hasta la vista baby"
  example_title: "Example 2"
- text: "Quote: Elementary, my dear watson."
  example_title: "Example 3"
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->

# outputs

This model is a fine-tuned version of [google/gemma-7b](https://huggingface.co/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: 0.0002
- train_batch_size: 1
- eval_batch_size: 8
- 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
- lr_scheduler_warmup_steps: 2
- training_steps: 10
- mixed_precision_training: Native AMP

### Training results



### Framework versions

- PEFT 0.8.2
- Transformers 4.38.1
- Pytorch 2.3.0+cu121
- Datasets 2.17.0
- Tokenizers 0.15.2