---
license: gemma
library_name: peft
tags:
- trl
- sft
- generated_from_trainer
- ipex
- GPU Max 1100
datasets:
- generator
base_model: google/gemma-2b
model-index:
- name: Gemma2B-LORAfied
  results: []
---

<!-- 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. -->

# Gemma2B-LORAfied

This model is a fine-tuned version of [google/gemma-2b](https://huggingface.co/google/gemma-2b) on the [databricks/databricks-dolly-15k](https://huggingface.co/datasets/databricks/databricks-dolly-15k) dataset.
It achieves the following results on the evaluation set:
- Loss: 2.0206


## Training Hardware

This model was trained using:
- GPU: Intel(R) Data Center GPU Max 1100
- CPU: Intel(R) Xeon(R) Platinum 8480+


## Training procedure

### Training hyperparameters

The following hyperparameters were used during training:
- learning_rate: 1e-05
- train_batch_size: 2
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 8
- total_train_batch_size: 16
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.05
- training_steps: 1480

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 2.927         | 1.64  | 100  | 2.5783          |
| 2.4568        | 3.28  | 200  | 2.2983          |
| 2.2609        | 4.92  | 300  | 2.1769          |
| 2.1671        | 6.56  | 400  | 2.1051          |
| 2.1065        | 8.2   | 500  | 2.0739          |
| 2.0844        | 9.84  | 600  | 2.0567          |
| 2.0643        | 11.48 | 700  | 2.0455          |
| 2.0511        | 13.11 | 800  | 2.0374          |
| 2.0435        | 14.75 | 900  | 2.0318          |
| 2.0304        | 16.39 | 1000 | 2.0276          |
| 2.0245        | 18.03 | 1100 | 2.0248          |
| 2.0247        | 19.67 | 1200 | 2.0228          |
| 2.0096        | 21.31 | 1300 | 2.0212          |
| 2.0183        | 22.95 | 1400 | 2.0206          |


## Framework versions

- PEFT 0.10.0
- Transformers 4.39.3
- Pytorch 2.0.1a0+cxx11.abi
- Datasets 2.18.0
- Tokenizers 0.15.2