---
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: 1.8652
- Rewards/chosen: 125.1359
- Rewards/rejected: -204.8868
- Rewards/accuracies: 0.9141
- Rewards/margins: 330.0227
- Logps/rejected: -113.7294
- Logps/chosen: -125.2587
- Logits/rejected: -1.8708
- Logits/chosen: -1.8725

## 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 |
|:-------------:|:-----:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:|
| 1.1504        | 0.21  | 100  | 0.9784          | 103.9547       | -116.3378        | 0.9102             | 220.2925        | -104.8745      | -127.3768    | -1.6942         | -1.7242       |
| 2.8553        | 0.42  | 200  | 1.8849          | 118.2614       | -180.4101        | 0.9102             | 298.6714        | -111.2817      | -125.9461    | -1.8462         | -1.8519       |
| 2.2897        | 0.63  | 300  | 2.1029          | 127.9046       | -196.9116        | 0.9141             | 324.8163        | -112.9319      | -124.9818    | -1.8642         | -1.8683       |
| 2.2714        | 0.84  | 400  | 1.8652          | 125.1359       | -204.8868        | 0.9141             | 330.0227        | -113.7294      | -125.2587    | -1.8708         | -1.8725       |


### Framework versions

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