---
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-no-robots
  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-no-robots

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: 4.2389

## 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: 4
- eval_batch_size: 4
- seed: 42
- distributed_type: multi-GPU
- num_devices: 4
- gradient_accumulation_steps: 2
- total_train_batch_size: 32
- total_eval_batch_size: 16
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 50

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 17.168        | 1.0   | 3    | 15.0876         |
| 14.9207       | 2.0   | 6    | 8.7644          |
| 14.9207       | 3.0   | 9    | 4.8425          |
| 7.3214        | 4.0   | 12   | 3.0239          |
| 2.9627        | 5.0   | 15   | 2.2565          |
| 2.9627        | 6.0   | 18   | 1.8792          |
| 1.7971        | 7.0   | 21   | 1.7648          |
| 1.7971        | 8.0   | 24   | 1.7012          |
| 1.4939        | 9.0   | 27   | 1.5479          |
| 1.2756        | 10.0  | 30   | 1.5051          |
| 1.2756        | 11.0  | 33   | 1.3975          |
| 1.0884        | 12.0  | 36   | 1.4440          |
| 1.0884        | 13.0  | 39   | 1.4135          |
| 0.9429        | 14.0  | 42   | 1.4587          |
| 0.7653        | 15.0  | 45   | 1.4874          |
| 0.7653        | 16.0  | 48   | 1.5958          |
| 0.6424        | 17.0  | 51   | 1.5928          |
| 0.6424        | 18.0  | 54   | 1.6838          |
| 0.5346        | 19.0  | 57   | 1.8264          |
| 0.4249        | 20.0  | 60   | 1.9655          |
| 0.4249        | 21.0  | 63   | 2.1370          |
| 0.3347        | 22.0  | 66   | 2.6981          |
| 0.3347        | 23.0  | 69   | 2.7131          |
| 0.2655        | 24.0  | 72   | 2.7668          |
| 0.2026        | 25.0  | 75   | 2.8615          |
| 0.2026        | 26.0  | 78   | 3.1596          |
| 0.1588        | 27.0  | 81   | 3.3286          |
| 0.1588        | 28.0  | 84   | 3.5463          |
| 0.1319        | 29.0  | 87   | 3.3686          |
| 0.1111        | 30.0  | 90   | 3.6859          |
| 0.1111        | 31.0  | 93   | 3.7810          |
| 0.0939        | 32.0  | 96   | 3.7559          |
| 0.0939        | 33.0  | 99   | 3.9164          |
| 0.082         | 34.0  | 102  | 3.9693          |
| 0.0709        | 35.0  | 105  | 4.0430          |
| 0.0709        | 36.0  | 108  | 4.1017          |
| 0.0638        | 37.0  | 111  | 4.1449          |
| 0.0638        | 38.0  | 114  | 4.1639          |
| 0.0597        | 39.0  | 117  | 4.1880          |
| 0.0556        | 40.0  | 120  | 4.2123          |
| 0.0556        | 41.0  | 123  | 4.2196          |
| 0.0535        | 42.0  | 126  | 4.2262          |
| 0.0535        | 43.0  | 129  | 4.2301          |
| 0.0521        | 44.0  | 132  | 4.2314          |
| 0.0521        | 45.0  | 135  | 4.2365          |
| 0.0521        | 46.0  | 138  | 4.2350          |
| 0.0525        | 47.0  | 141  | 4.2364          |
| 0.0525        | 48.0  | 144  | 4.2320          |
| 0.0509        | 49.0  | 147  | 4.2361          |
| 0.0505        | 50.0  | 150  | 4.2389          |


### Framework versions

- PEFT 0.7.1
- Transformers 4.39.0.dev0
- Pytorch 2.2.2+cu121
- Datasets 2.14.6
- Tokenizers 0.15.2