---
license: gemma
library_name: peft
tags:
- alignment-handbook
- trl
- sft
- generated_from_trainer
base_model: google/gemma-7b
datasets:
- chansung/no_robots_only_coding
model-index:
- name: gemma-7b-sft-qlora-1
  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-7b-sft-qlora-1

This model is a fine-tuned version of [google/gemma-7b](https://huggingface.co/google/gemma-7b) on the chansung/no_robots_only_coding dataset.
It achieves the following results on the evaluation set:
- Loss: 2.2095

## 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: 2
- eval_batch_size: 2
- seed: 42
- distributed_type: multi-GPU
- num_devices: 4
- gradient_accumulation_steps: 2
- total_train_batch_size: 16
- total_eval_batch_size: 8
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 25

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 23.6212       | 0.91  | 5    | 8.0020          |
| 14.6688       | 2.0   | 11   | 6.8099          |
| 10.8277       | 2.91  | 16   | 6.4585          |
| 10.965        | 4.0   | 22   | 5.2759          |
| 8.3233        | 4.91  | 27   | 1.6939          |
| 2.2795        | 6.0   | 33   | 1.4540          |
| 1.5047        | 6.91  | 38   | 1.3612          |
| 1.3243        | 8.0   | 44   | 1.2886          |
| 1.1264        | 8.91  | 49   | 1.2783          |
| 0.9122        | 10.0  | 55   | 1.2740          |
| 0.8184        | 10.91 | 60   | 1.2854          |
| 0.6918        | 12.0  | 66   | 1.3135          |
| 0.6194        | 12.91 | 71   | 1.3431          |
| 0.5176        | 14.0  | 77   | 1.4737          |
| 0.4514        | 14.91 | 82   | 1.7112          |
| 0.3759        | 16.0  | 88   | 1.8429          |
| 0.3464        | 16.91 | 93   | 1.8994          |
| 0.2681        | 18.0  | 99   | 1.9583          |
| 0.2487        | 18.91 | 104  | 2.1623          |
| 0.2122        | 20.0  | 110  | 2.2136          |
| 0.2036        | 20.91 | 115  | 2.2150          |
| 0.2098        | 22.0  | 121  | 2.2189          |
| 0.1955        | 22.73 | 125  | 2.2095          |


### Framework versions

- PEFT 0.7.1
- Transformers 4.39.3
- Pytorch 2.2.2+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2