---
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: gemma-2b-dolly-tuned
  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-tuned

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: 2.0192

## Model description

More information needed

## Intended uses & limitations

More information needed

## Training and evaluation data

More information needed

## 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 |
|:-------------:|:-----:|:----:|:---------------:|
| 2.9204        | 1.64  | 100  | 2.5693          |
| 2.4476        | 3.28  | 200  | 2.2830          |
| 2.2496        | 4.92  | 300  | 2.1630          |
| 2.141         | 6.56  | 400  | 2.0984          |
| 2.1131        | 8.2   | 500  | 2.0701          |
| 2.0799        | 9.84  | 600  | 2.0543          |
| 2.0593        | 11.48 | 700  | 2.0434          |
| 2.0529        | 13.11 | 800  | 2.0357          |
| 2.0433        | 14.75 | 900  | 2.0305          |
| 2.0322        | 16.39 | 1000 | 2.0264          |
| 2.0197        | 18.03 | 1100 | 2.0234          |
| 2.0204        | 19.67 | 1200 | 2.0214          |
| 2.0153        | 21.31 | 1300 | 2.0199          |
| 2.0101        | 22.95 | 1400 | 2.0192          |


### Framework versions

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