---
license: gemma
library_name: peft
tags:
- alignment-handbook
- trl
- sft
- generated_from_trainer
base_model: google/gemma-7b
datasets:
- chansung/merged_ds_coding
model-index:
- name: coding_llamaduo_60k
  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. -->

# coding_llamaduo_60k

This model is a fine-tuned version of [google/gemma-7b](https://huggingface.co/google/gemma-7b) on the chansung/merged_ds_coding dataset.
It achieves the following results on the evaluation set:
- Loss: 1.6318

## 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: 10

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 0.6618        | 1.0   | 252  | 1.2071          |
| 0.5731        | 2.0   | 504  | 1.1436          |
| 0.5198        | 3.0   | 756  | 1.1346          |
| 0.4783        | 4.0   | 1008 | 1.1536          |
| 0.4378        | 5.0   | 1260 | 1.2225          |
| 0.3836        | 6.0   | 1512 | 1.2893          |
| 0.3381        | 7.0   | 1764 | 1.4050          |
| 0.3043        | 8.0   | 2016 | 1.5185          |
| 0.2778        | 9.0   | 2268 | 1.6143          |
| 0.2748        | 10.0  | 2520 | 1.6318          |


### Framework versions

- PEFT 0.7.1
- Transformers 4.40.1
- Pytorch 2.2.2+cu121
- Datasets 2.19.0
- Tokenizers 0.19.1