---
license: gemma
library_name: peft
tags:
- llama-factory
- lora
- trl
- dpo
- generated_from_trainer
base_model: google/gemma-7b-it
model-index:
- name: Gemma-7B-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-7B-It-ORPO

This model is a fine-tuned version of [google/gemma-7b-it](https://huggingface.co/google/gemma-7b-it) on the dpo_mix_en dataset.
It achieves the following results on the evaluation set:
- Loss: 1.3471
- Rewards/chosen: -0.1281
- Rewards/rejected: -0.1500
- Rewards/accuracies: 0.5610
- Rewards/margins: 0.0219
- Logps/rejected: -1.5004
- Logps/chosen: -1.2814
- Logits/rejected: 254.6614
- Logits/chosen: 254.4679
- Sft Loss: 1.2814
- Odds Ratio Loss: 0.6571

## 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 |
|:-------------:|:------:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:|:--------:|:---------------:|
| 1.5041        | 0.8891 | 500  | 1.4185          | -0.1352        | -0.1564          | 0.5530             | 0.0212          | -1.5644        | -1.3522      | 250.7549        | 250.6463      | 1.3522   | 0.6626          |
| 1.428         | 1.7782 | 1000 | 1.3595          | -0.1294        | -0.1509          | 0.5600             | 0.0215          | -1.5091        | -1.2937      | 254.1350        | 253.9581      | 1.2937   | 0.6586          |
| 1.3302        | 2.6673 | 1500 | 1.3471          | -0.1281        | -0.1500          | 0.5610             | 0.0219          | -1.5004        | -1.2814      | 254.6614        | 254.4679      | 1.2814   | 0.6571          |


### Framework versions

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