---
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: 0.1695
- Rewards/chosen: 8.1916
- Rewards/rejected: -16.5277
- Rewards/accuracies: 0.9297
- Rewards/margins: 24.7193
- Logps/rejected: -126.2961
- Logps/chosen: -121.3891
- Logits/rejected: -1.8336
- Logits/chosen: -1.8336

## 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 |
|:-------------:|:-----:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:|
| 0.1474        | 0.21  | 100  | 0.1325          | 6.8739         | -14.1333         | 0.9297             | 21.0072         | -121.5073      | -124.0244    | -1.7724         | -1.7834       |
| 0.2092        | 0.42  | 200  | 0.1567          | 8.4112         | -15.0418         | 0.9336             | 23.4530         | -123.3244      | -120.9499    | -1.8442         | -1.8477       |
| 0.1925        | 0.63  | 300  | 0.1715          | 7.7458         | -16.7009         | 0.9258             | 24.4467         | -126.6425      | -122.2807    | -1.8047         | -1.8054       |
| 0.2762        | 0.84  | 400  | 0.1695          | 8.1916         | -16.5277         | 0.9297             | 24.7193         | -126.2961      | -121.3891    | -1.8336         | -1.8336       |


### Framework versions

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