---
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: 0.0224
- Rewards/chosen: -1.9945
- Rewards/rejected: -3.2919
- Rewards/accuracies: 0.7148
- Rewards/margins: 1.2974
- Logps/rejected: -640.8138
- Logps/chosen: -503.0325
- Logits/rejected: 0.3215
- Logits/chosen: 0.2841

## 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: 1e-06
- train_batch_size: 4
- eval_batch_size: 8
- seed: 4
- 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: 2

### Training results

| Training Loss | Epoch | Step | Validation Loss | Rewards/chosen | Rewards/rejected | Rewards/accuracies | Rewards/margins | Logps/rejected | Logps/chosen | Logits/rejected | Logits/chosen |
|:-------------:|:-----:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:|
| 0.111         | 0.21  | 100  | 0.1080          | -0.3300        | -0.6434          | 0.7148             | 0.3134          | -375.9606      | -336.5851    | 0.4520          | 0.3976        |
| 0.0697        | 0.42  | 200  | 0.0728          | -0.5844        | -1.2213          | 0.7422             | 0.6369          | -433.7567      | -362.0242    | 0.4101          | 0.3267        |
| 0.055         | 0.63  | 300  | 0.0610          | -0.7945        | -1.5421          | 0.7266             | 0.7476          | -465.8376      | -383.0369    | 0.2780          | 0.2451        |
| 0.0573        | 0.84  | 400  | 0.0566          | -0.8305        | -1.5952          | 0.7383             | 0.7647          | -471.1477      | -386.6394    | 0.2561          | 0.2348        |
| 0.0215        | 1.05  | 500  | 0.0327          | -1.6150        | -2.8668          | 0.7305             | 1.2517          | -598.3008      | -465.0880    | 0.2419          | 0.2221        |
| 0.0139        | 1.26  | 600  | 0.0260          | -1.8080        | -3.0895          | 0.7227             | 1.2815          | -620.5768      | -484.3871    | 0.2916          | 0.2601        |
| 0.0125        | 1.47  | 700  | 0.0247          | -1.9121        | -3.1886          | 0.7305             | 1.2765          | -630.4850      | -494.7950    | 0.2947          | 0.2614        |
| 0.0107        | 1.67  | 800  | 0.0226          | -1.9947        | -3.2951          | 0.7188             | 1.3004          | -641.1344      | -503.0576    | 0.3196          | 0.2841        |
| 0.0106        | 1.88  | 900  | 0.0224          | -1.9945        | -3.2919          | 0.7148             | 1.2974          | -640.8138      | -503.0325    | 0.3215          | 0.2841        |


### Framework versions

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