---
license: gemma
library_name: peft
tags:
- trl
- sft
- generated_from_trainer
- ipex
- GPU Max 1100
- intel
datasets:
- generator
- databricks/databricks-dolly-15k
base_model: google/gemma-2b
model-index:
- name: gemma-2b-dolly-qa
  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. -->

# gemma-2b-dolly-qa

This model is a fine-tuned version of [google/gemma-2b](https://huggingface.co/google/gemma-2b) on the generator dataset.
It achieves the following results on the evaluation set:
- Loss: 2.0215

## Model description

More information needed

## Intended uses & limitations

More information needed

## Training and evaluation data

databricks/databricks-dolly-15k

## Training Hardware
This model was trained using Intel(R) Data Center GPU Max 1100

## 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 |
|:-------------:|:-----:|:----:|:---------------:|
| 2.9198        | 1.64  | 100  | 2.5675          |
| 2.437         | 3.28  | 200  | 2.2818          |
| 2.2514        | 4.92  | 300  | 2.1677          |
| 2.1587        | 6.56  | 400  | 2.1038          |
| 2.116         | 8.2   | 500  | 2.0741          |
| 2.0794        | 9.84  | 600  | 2.0576          |
| 2.0663        | 11.48 | 700  | 2.0467          |
| 2.0494        | 13.11 | 800  | 2.0394          |
| 2.0449        | 14.75 | 900  | 2.0336          |
| 2.0336        | 16.39 | 1000 | 2.0293          |
| 2.0281        | 18.03 | 1100 | 2.0262          |
| 2.0172        | 19.67 | 1200 | 2.0240          |
| 2.0227        | 21.31 | 1300 | 2.0227          |
| 2.0128        | 22.95 | 1400 | 2.0215          |


### Framework versions

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