---
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: 1.9828
- Rewards/chosen: -3.4223
- Rewards/rejected: -2.1126
- Rewards/accuracies: 0.3555
- Rewards/margins: -1.3097
- Logps/rejected: -521.2875
- Logps/chosen: -405.8879
- Logits/rejected: -4.9364
- Logits/chosen: -4.7068

## 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-08
- 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 |
|:-------------:|:-----:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:|
| 0.3652        | 0.29  | 100  | 1.7488          | -2.2159        | -1.0097          | 0.3516             | -1.2062         | -519.0817      | -403.4752    | -4.9249         | -4.6962       |
| 0.312         | 0.57  | 200  | 1.9596          | -3.1949        | -1.8164          | 0.3398             | -1.3786         | -520.6950      | -405.4332    | -4.9391         | -4.7096       |
| 0.2993        | 0.86  | 300  | 1.9828          | -3.4223        | -2.1126          | 0.3555             | -1.3097         | -521.2875      | -405.8879    | -4.9364         | -4.7068       |


### Framework versions

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