---
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: 0.0449
- Rewards/chosen: -0.6529
- Rewards/rejected: -1.2907
- Rewards/accuracies: 0.7383
- Rewards/margins: 0.6378
- Logps/rejected: -518.3444
- Logps/chosen: -448.4197
- Logits/rejected: 1.6154
- Logits/chosen: 1.4915

## 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: 4
- eval_batch_size: 8
- seed: 2
- distributed_type: multi-GPU
- num_devices: 8
- gradient_accumulation_steps: 4
- 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 |
|:-------------:|:-----:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:|
| 0.09          | 0.21  | 100  | 0.0844          | -0.0945        | -0.2957          | 0.6992             | 0.2012          | -418.8424      | -392.5748    | 0.5303          | 0.4926        |
| 0.0405        | 0.42  | 200  | 0.0452          | -0.6625        | -1.1657          | 0.7539             | 0.5032          | -505.8466      | -449.3789    | 1.2734          | 1.1859        |
| 0.0479        | 0.63  | 300  | 0.0477          | -0.5208        | -1.1204          | 0.7383             | 0.5995          | -501.3084      | -435.2133    | 1.4093          | 1.2982        |
| 0.0457        | 0.84  | 400  | 0.0449          | -0.6529        | -1.2907          | 0.7383             | 0.6378          | -518.3444      | -448.4197    | 1.6154          | 1.4915        |


### Framework versions

- Transformers 4.35.2
- Pytorch 2.1.2+cu121
- Datasets 2.14.6
- Tokenizers 0.14.1