---
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: 0.1390
- Rewards/chosen: 3.4895
- Rewards/rejected: -9.2522
- Rewards/accuracies: 0.9297
- Rewards/margins: 12.7417
- Logps/rejected: -139.5015
- Logps/chosen: -120.3246
- Logits/rejected: -1.8106
- Logits/chosen: -1.8098

## 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 |
|:-------------:|:-----:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:|
| 0.1523        | 0.21  | 100  | 0.1399          | 2.5441         | -8.9516          | 0.9375             | 11.4956         | -137.9985      | -125.0519    | -1.8014         | -1.8101       |
| 0.176         | 0.42  | 200  | 0.1358          | 3.3974         | -8.7531          | 0.9375             | 12.1505         | -137.0064      | -120.7853    | -1.8762         | -1.8764       |
| 0.1509        | 0.63  | 300  | 0.1403          | 3.3534         | -9.3163          | 0.9336             | 12.6696         | -139.8221      | -121.0054    | -1.7873         | -1.7875       |
| 0.2009        | 0.84  | 400  | 0.1390          | 3.4895         | -9.2522          | 0.9297             | 12.7417         | -139.5015      | -120.3246    | -1.8106         | -1.8098       |


### Framework versions

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