---
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: 1.9448
- Rewards/chosen: 0.2004
- Rewards/rejected: 1.1728
- Rewards/accuracies: 0.3984
- Rewards/margins: -0.9724
- Logps/rejected: -516.0420
- Logps/chosen: -390.0737
- Logits/rejected: -4.6999
- Logits/chosen: -4.4838

## 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: 1e-07
- 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 |
|:-------------:|:-----:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:|
| 0.1833        | 0.26  | 100  | 1.8369          | 0.4269         | 1.4521           | 0.375              | -1.0251         | -515.4835      | -389.6206    | -4.7248         | -4.5091       |
| 0.1786        | 0.51  | 200  | 2.0163          | 0.6049         | 1.7456           | 0.375              | -1.1407         | -514.8965      | -389.2646    | -4.6879         | -4.4698       |
| 0.1648        | 0.77  | 300  | 1.9448          | 0.2004         | 1.1728           | 0.3984             | -0.9724         | -516.0420      | -390.0737    | -4.6999         | -4.4838       |


### Framework versions

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