---
tags:
- trl
- dpo
- generated_from_trainer
model-index:
- name: zephyr-6b-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-6b-dpo-full

This model was trained from scratch on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.5676
- Rewards/chosen: -0.5685
- Rewards/rejected: -1.1091
- Rewards/accuracies: 0.7305
- Rewards/margins: 0.5407
- Logps/rejected: -384.2899
- Logps/chosen: -336.4684
- Logits/rejected: -0.9166
- Logits/chosen: -0.9852

## 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 |
|:-------------:|:-----:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:|
| 0.6548        | 0.21  | 100  | 0.6548          | -0.1060        | -0.2092          | 0.6680             | 0.1032          | -294.2936      | -290.2218    | -0.6577         | -0.7018       |
| 0.5881        | 0.42  | 200  | 0.5968          | -0.3050        | -0.6575          | 0.6875             | 0.3525          | -339.1259      | -310.1252    | -0.7415         | -0.8023       |
| 0.5753        | 0.63  | 300  | 0.5734          | -0.4917        | -0.9768          | 0.7227             | 0.4851          | -371.0564      | -328.7914    | -0.7579         | -0.8263       |
| 0.5602        | 0.84  | 400  | 0.5689          | -0.4964        | -1.0157          | 0.7344             | 0.5193          | -374.9490      | -329.2605    | -0.8579         | -0.9263       |


### Framework versions

- Transformers 4.36.2
- Pytorch 2.1.2+cu121
- Datasets 2.14.6
- Tokenizers 0.15.1