---
library_name: transformers
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 was trained from scratch on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.5041
- Rewards/chosen: -0.7250
- Rewards/rejected: -1.7776
- Rewards/accuracies: 0.7660
- Rewards/margins: 1.0526
- Logps/rejected: -446.8852
- Logps/chosen: -382.4696
- Logits/rejected: 314.8608
- Logits/chosen: 314.4090

## 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: 1
- eval_batch_size: 2
- seed: 42
- distributed_type: multi-GPU
- num_devices: 8
- gradient_accumulation_steps: 16
- total_train_batch_size: 128
- total_eval_batch_size: 16
- 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 |
|:-------------:|:------:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:|
| 0.5055        | 0.9858 | 52   | 0.5194          | -0.1748        | -1.0342          | 0.7447             | 0.8594          | -432.0167      | -371.4648    | 314.8033        | 314.6528      |
| 0.2167        | 1.9716 | 104  | 0.5041          | -0.7250        | -1.7776          | 0.7660             | 1.0526          | -446.8852      | -382.4696    | 314.8608        | 314.4090      |


### Framework versions

- Transformers 4.45.2
- Pytorch 2.5.1+rocm6.2
- Datasets 3.5.0
- Tokenizers 0.20.3