---
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: 0.5287
- Rewards/chosen: 0.4753
- Rewards/rejected: -0.1181
- Rewards/accuracies: 0.7708
- Rewards/margins: 0.5934
- Logps/rejected: -326.4217
- Logps/chosen: -277.1591
- Logits/rejected: -1.3248
- Logits/chosen: -1.3362

## 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: 4
- eval_batch_size: 8
- seed: 42
- distributed_type: multi-GPU
- num_devices: 8
- gradient_accumulation_steps: 4
- total_train_batch_size: 128
- total_eval_batch_size: 64
- 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 |
|:-------------:|:------:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:|
| 0.5532        | 0.9858 | 52   | 0.5591          | 0.4980         | 0.0692           | 0.7604             | 0.4288          | -322.6760      | -276.7043    | -1.3205         | -1.3316       |
| 0.4562        | 1.9716 | 104  | 0.5287          | 0.4753         | -0.1181          | 0.7708             | 0.5934          | -326.4217      | -277.1591    | -1.3248         | -1.3362       |


### Framework versions

- Transformers 4.45.2
- Pytorch 2.5.1+rocm6.2
- Datasets 3.2.0
- Tokenizers 0.20.3