---
license: gemma
library_name: peft
tags:
- llama-factory
- lora
- trl
- dpo
- generated_from_trainer
base_model: google/gemma-2b-it
model-index:
- name: Gemma-2B-It-ORPO
  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-It-ORPO

This model is a fine-tuned version of [google/gemma-2b-it](https://huggingface.co/google/gemma-2b-it) on the dpo_mix_en dataset.
It achieves the following results on the evaluation set:
- Loss: 1.3996
- Rewards/chosen: -0.1332
- Rewards/rejected: -0.1501
- Rewards/accuracies: 0.5460
- Rewards/margins: 0.0169
- Logps/rejected: -1.5010
- Logps/chosen: -1.3319
- Logits/rejected: -20.7443
- Logits/chosen: -20.6555
- Sft Loss: 1.3319
- Odds Ratio Loss: 0.6769

## 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: 5e-06
- train_batch_size: 2
- eval_batch_size: 2
- 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: cosine
- lr_scheduler_warmup_steps: 0.1
- num_epochs: 3.0

### Training results

| Training Loss | Epoch  | Step | Validation Loss | Rewards/chosen | Rewards/rejected | Rewards/accuracies | Rewards/margins | Logps/rejected | Logps/chosen | Logits/rejected | Logits/chosen | Sft Loss | Odds Ratio Loss |
|:-------------:|:------:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:|:--------:|:---------------:|
| 1.5296        | 0.8891 | 500  | 1.4462          | -0.1378        | -0.1548          | 0.5470             | 0.0170          | -1.5481        | -1.3781      | -21.5745        | -21.4875      | 1.3781   | 0.6806          |
| 1.4761        | 1.7782 | 1000 | 1.4072          | -0.1340        | -0.1510          | 0.5350             | 0.0170          | -1.5095        | -1.3395      | -20.8914        | -20.8038      | 1.3395   | 0.6771          |
| 1.4105        | 2.6673 | 1500 | 1.3996          | -0.1332        | -0.1501          | 0.5460             | 0.0169          | -1.5010        | -1.3319      | -20.7443        | -20.6555      | 1.3319   | 0.6769          |


### Framework versions

- PEFT 0.10.0
- Transformers 4.40.1
- Pytorch 2.3.0
- Datasets 2.19.0
- Tokenizers 0.19.1