---
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-SALT-HALF
  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-HALF

This model is a fine-tuned version of [google/gemma-7b-it](https://huggingface.co/google/gemma-7b-it) on the dpo_mix_en and the bct_non_cot_dpo_500 datasets.
It achieves the following results on the evaluation set:
- Loss: 1.3159
- Rewards/chosen: -0.1249
- Rewards/rejected: -0.1471
- Rewards/accuracies: 0.5619
- Rewards/margins: 0.0222
- Logps/rejected: -1.4709
- Logps/chosen: -1.2488
- Logits/rejected: 253.8645
- Logits/chosen: 253.5439
- Sft Loss: 1.2488
- Odds Ratio Loss: 0.6713

## 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 |
|:-------------:|:------:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:|:--------:|:---------------:|
| 1.422         | 0.8467 | 500  | 1.3896          | -0.1322        | -0.1546          | 0.5752             | 0.0224          | -1.5459        | -1.3222      | 250.5634        | 250.2739      | 1.3222   | 0.6733          |
| 1.3103        | 1.6935 | 1000 | 1.3313          | -0.1264        | -0.1489          | 0.5695             | 0.0224          | -1.4886        | -1.2642      | 253.1350        | 252.8147      | 1.2642   | 0.6718          |
| 1.2057        | 2.5402 | 1500 | 1.3159          | -0.1249        | -0.1471          | 0.5619             | 0.0222          | -1.4709        | -1.2488      | 253.8645        | 253.5439      | 1.2488   | 0.6713          |


### Framework versions

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