---
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: 6.9230
- Rewards/chosen: -4.5175
- Rewards/rejected: 0.4288
- Rewards/accuracies: 0.3164
- Rewards/margins: -4.9464
- Logps/rejected: -517.5300
- Logps/chosen: -399.5095
- Logits/rejected: -4.8908
- Logits/chosen: -4.6604

## 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 |
|:-------------:|:------:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:|
| 0.5909        | 0.2635 | 100  | 6.6534          | -3.0090        | 2.8904           | 0.2773             | -5.8994         | -512.6068      | -396.4924    | -4.8508         | -4.6121       |
| 0.7239        | 0.5270 | 200  | 8.0720          | -2.8191        | 3.5065           | 0.2734             | -6.3256         | -511.3747      | -396.1127    | -4.9896         | -4.7715       |
| 0.5556        | 0.7905 | 300  | 6.9230          | -4.5175        | 0.4288           | 0.3164             | -4.9464         | -517.5300      | -399.5095    | -4.8908         | -4.6604       |


### Framework versions

- Transformers 4.41.1
- Pytorch 2.1.2+cu118
- Datasets 2.16.1
- Tokenizers 0.19.1