---
tags:
- trl
- dpo
- generated_from_trainer
model-index:
- name: zephyr-7b-dpo-full
  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-dpo-full

This model was trained from scratch on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 1.1360
- Rewards/chosen: -0.1815
- Rewards/rejected: 0.2981
- Rewards/accuracies: 0.4102
- Rewards/margins: -0.4796
- Logps/rejected: -515.4065
- Logps/chosen: -392.2896
- Logits/rejected: -4.7596
- Logits/chosen: -4.5397

## 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-08
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- distributed_type: multi-GPU
- num_devices: 8
- gradient_accumulation_steps: 2
- 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: 1

### Training results

| Training Loss | Epoch | Step | Validation Loss | Rewards/chosen | Rewards/rejected | Rewards/accuracies | Rewards/margins | Logps/rejected | Logps/chosen | Logits/rejected | Logits/chosen |
|:-------------:|:-----:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:|
| 0.2984        | 0.26  | 100  | 0.9403          | -0.0277        | 0.3050           | 0.4062             | -0.3328         | -515.3372      | -390.7516    | -4.7620         | -4.5507       |
| 0.2338        | 0.51  | 200  | 1.0997          | -0.0605        | 0.4142           | 0.3867             | -0.4747         | -514.2458      | -391.0792    | -4.7584         | -4.5386       |
| 0.2158        | 0.77  | 300  | 1.1360          | -0.1815        | 0.2981           | 0.4102             | -0.4796         | -515.4065      | -392.2896    | -4.7596         | -4.5397       |


### Framework versions

- Transformers 4.38.2
- Pytorch 2.1.2+cu118
- Datasets 2.16.1
- Tokenizers 0.15.2