---
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: 0.4905
- Rewards/chosen: -0.7983
- Rewards/rejected: -1.8319
- Rewards/accuracies: 0.7539
- Rewards/margins: 1.0337
- Logps/rejected: -470.9522
- Logps/chosen: -361.4586
- Logits/rejected: -0.7601
- Logits/chosen: -0.9126

## 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 |
|:-------------:|:-----:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:|
| 0.5759        | 0.21  | 100  | 0.5723          | -0.5418        | -1.0793          | 0.7148             | 0.5375          | -395.6910      | -335.8161    | -1.8988         | -1.9151       |
| 0.5391        | 0.42  | 200  | 0.5138          | -0.3953        | -1.1724          | 0.7461             | 0.7771          | -405.0056      | -321.1682    | -1.5774         | -1.6570       |
| 0.4788        | 0.63  | 300  | 0.4939          | -0.8609        | -1.8779          | 0.7578             | 1.0170          | -475.5532      | -367.7277    | -0.8826         | -0.9864       |
| 0.4937        | 0.84  | 400  | 0.4905          | -0.7983        | -1.8319          | 0.7539             | 1.0337          | -470.9522      | -361.4586    | -0.7601         | -0.9126       |


### Framework versions

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