---
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: 0.2511
- Rewards/chosen: 14.1512
- Rewards/rejected: -27.0299
- Rewards/accuracies: 0.9297
- Rewards/margins: 41.1811
- Logps/rejected: -120.2706
- Logps/chosen: -123.6211
- Logits/rejected: -1.8742
- Logits/chosen: -1.8698

## 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 |
|:-------------:|:-----:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:|
| 0.1812        | 0.21  | 100  | 0.1474          | 12.7707        | -20.3277         | 0.9180             | 33.0984         | -113.5685      | -125.0015    | -1.7088         | -1.7301       |
| 0.2958        | 0.42  | 200  | 0.2224          | 15.4746        | -23.1680         | 0.9258             | 38.6426         | -116.4087      | -122.2977    | -1.8350         | -1.8384       |
| 0.3034        | 0.63  | 300  | 0.2672          | 14.1732        | -27.0300         | 0.9258             | 41.2032         | -120.2707      | -123.5991    | -1.8525         | -1.8496       |
| 0.3576        | 0.84  | 400  | 0.2511          | 14.1512        | -27.0299         | 0.9297             | 41.1811         | -120.2706      | -123.6211    | -1.8742         | -1.8698       |


### Framework versions

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