---
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: 0.5366
- Rewards/chosen: -2.9738
- Rewards/rejected: -4.4991
- Rewards/accuracies: 0.7617
- Rewards/margins: 1.5252
- Logps/rejected: -767.4317
- Logps/chosen: -609.1594
- Logits/rejected: 1.6095
- Logits/chosen: 0.9559

## 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 |
|:-------------:|:-----:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:|
| 0.5905        | 0.07  | 100  | 0.6429          | -0.1380        | -0.3441          | 0.6719             | 0.2061          | -351.9318      | -325.5744    | -1.7244         | -1.7878       |
| 0.4495        | 0.15  | 200  | 0.5600          | -0.4940        | -1.0973          | 0.7461             | 0.6032          | -427.2510      | -361.1815    | -1.3665         | -1.4371       |
| 0.3963        | 0.22  | 300  | 0.5291          | -1.1123        | -2.0359          | 0.7422             | 0.9236          | -521.1155      | -423.0034    | -1.2770         | -1.4609       |
| 0.4012        | 0.3   | 400  | 0.5315          | -1.0588        | -1.9923          | 0.7734             | 0.9334          | -516.7505      | -417.6586    | -1.1223         | -1.3373       |
| 0.3559        | 0.37  | 500  | 0.5276          | -1.4423        | -2.5146          | 0.7578             | 1.0723          | -568.9822      | -456.0086    | -0.6834         | -1.0067       |
| 0.3291        | 0.45  | 600  | 0.5103          | -1.6617        | -2.7811          | 0.7695             | 1.1194          | -595.6332      | -477.9445    | 0.1886          | -0.2334       |
| 0.2735        | 0.52  | 700  | 0.5289          | -2.2950        | -3.7006          | 0.7617             | 1.4056          | -687.5872      | -541.2795    | 0.6722          | 0.1870        |
| 0.2752        | 0.59  | 800  | 0.5229          | -2.2134        | -3.5070          | 0.7656             | 1.2935          | -668.2236      | -533.1202    | 0.2752          | -0.1628       |
| 0.2492        | 0.67  | 900  | 0.5152          | -2.0646        | -3.3529          | 0.7734             | 1.2882          | -652.8116      | -518.2382    | 1.0726          | 0.5184        |
| 0.262         | 0.74  | 1000 | 0.5241          | -2.4505        | -3.8564          | 0.7617             | 1.4059          | -703.1603      | -556.8265    | 1.3124          | 0.6805        |
| 0.2299        | 0.82  | 1100 | 0.5313          | -2.7647        | -4.2433          | 0.7578             | 1.4786          | -741.8574      | -588.2495    | 1.4834          | 0.8391        |
| 0.1974        | 0.89  | 1200 | 0.5367          | -2.9484        | -4.4713          | 0.7617             | 1.5229          | -764.6512      | -606.6174    | 1.5458          | 0.8964        |
| 0.1842        | 0.97  | 1300 | 0.5366          | -2.9738        | -4.4991          | 0.7617             | 1.5252          | -767.4317      | -609.1594    | 1.6095          | 0.9559        |


### Framework versions

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