---
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_result3
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# coding_llamaduo_result3

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: 1.2481

## 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: 2
- gradient_accumulation_steps: 2
- total_train_batch_size: 8
- total_eval_batch_size: 4
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 5

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 0.7425        | 1.0   | 164  | 1.1824          |
| 0.6196        | 2.0   | 328  | 1.1435          |
| 0.5124        | 3.0   | 492  | 1.1461          |
| 0.4403        | 4.0   | 656  | 1.2068          |
| 0.4072        | 5.0   | 820  | 1.2481          |


### Framework versions

- PEFT 0.7.1
- Transformers 4.40.0
- Pytorch 2.2.2+cu121
- Datasets 2.19.0
- Tokenizers 0.19.1