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

This model is a fine-tuned version of [google/gemma-7b-it](https://huggingface.co/google/gemma-7b-it) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 1.2657
- Rewards/chosen: -0.1198
- Rewards/rejected: -0.1438
- Rewards/accuracies: 0.5700
- Rewards/margins: 0.0239
- Logps/rejected: -1.4377
- Logps/chosen: -1.1983
- Logits/rejected: 253.9599
- Logits/chosen: 253.6037
- Sft Loss: 1.1983
- Odds Ratio Loss: 0.6746

## 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 |
|:-------------:|:------:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:|:--------:|:---------------:|
| 1.374         | 0.8082 | 500  | 1.3436          | -0.1276        | -0.1503          | 0.5673             | 0.0227          | -1.5033        | -1.2762      | 249.9064        | 249.6123      | 1.2762   | 0.6738          |
| 1.1628        | 1.6165 | 1000 | 1.2833          | -0.1215        | -0.1446          | 0.5618             | 0.0231          | -1.4461        | -1.2153      | 253.1810        | 252.8272      | 1.2153   | 0.6796          |
| 1.1874        | 2.4247 | 1500 | 1.2657          | -0.1198        | -0.1438          | 0.5700             | 0.0239          | -1.4377        | -1.1983      | 253.9599        | 253.6037      | 1.1983   | 0.6746          |


### Framework versions

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