---
license: gemma
base_model: tanliboy/zephyr-7b-gemma-sft
tags:
- trl
- dpo
- generated_from_trainer
model-index:
- name: zephyr-7b-gemma-dpo
  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. -->

# zephyr-7b-gemma-dpo

This model is a fine-tuned version of [tanliboy/zephyr-7b-gemma-sft](https://huggingface.co/tanliboy/zephyr-7b-gemma-sft) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.4722
- Rewards/chosen: -0.0658
- Rewards/rejected: -1.2673
- Rewards/accuracies: 0.7396
- Rewards/margins: 1.2015
- Logps/rejected: -720.2745
- Logps/chosen: -697.6023
- Logits/rejected: 152.9660
- Logits/chosen: 153.1356

## 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-07
- train_batch_size: 2
- eval_batch_size: 4
- seed: 42
- distributed_type: multi-GPU
- num_devices: 8
- gradient_accumulation_steps: 8
- total_train_batch_size: 128
- total_eval_batch_size: 32
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 2

### Training results

| Training Loss | Epoch  | Step | Validation Loss | Rewards/chosen | Rewards/rejected | Rewards/accuracies | Rewards/margins | Logps/rejected | Logps/chosen | Logits/rejected | Logits/chosen |
|:-------------:|:------:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:|
| 0.1424        | 1.8957 | 100  | 0.4722          | -0.0658        | -1.2673          | 0.7396             | 1.2015          | -720.2745      | -697.6023    | 152.9660        | 153.1356      |


### Framework versions

- Transformers 4.40.2
- Pytorch 2.3.0+cu121
- Datasets 2.19.1
- Tokenizers 0.19.1