---
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: 0.6931
- Rewards/chosen: -8.4881
- Rewards/rejected: -8.4881
- Rewards/accuracies: 0.0
- Rewards/margins: 0.0
- Logps/rejected: -164.0651
- Logps/chosen: -164.0651
- Logits/rejected: -3.2224
- Logits/chosen: -3.2224

## 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: 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 |
|:-------------:|:-----:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:|
| 0.7723        | 0.29  | 100  | 0.6931          | -2.0247        | -2.0247          | 0.0                | 0.0             | -157.6017      | -157.6017    | -3.1472         | -3.1472       |
| 0.7717        | 0.57  | 200  | 0.6931          | -12.0830       | -12.0830         | 0.0                | 0.0             | -167.6601      | -167.6601    | -3.1635         | -3.1635       |
| 0.782         | 0.86  | 300  | 0.6931          | -8.4881        | -8.4881          | 0.0                | 0.0             | -164.0651      | -164.0651    | -3.2224         | -3.2224       |


### Framework versions

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