---
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: 1.0331
- Rewards/chosen: -4.8324
- Rewards/rejected: -5.0569
- Rewards/accuracies: 0.5664
- Rewards/margins: 0.2245
- Logps/rejected: -878.3029
- Logps/chosen: -862.6211
- Logits/rejected: -4.1328
- Logits/chosen: -4.0279

## 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 |
|:-------------:|:-----:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:|
| 0.4239        | 0.26  | 100  | 0.8541          | -2.3650        | -2.4785          | 0.5547             | 0.1135          | -620.4579      | -615.8743    | -2.6916         | -2.6796       |
| 0.312         | 0.51  | 200  | 1.0052          | -4.1999        | -4.4302          | 0.5547             | 0.2303          | -815.6310      | -799.3696    | -3.7211         | -3.6438       |
| 0.2922        | 0.77  | 300  | 1.0331          | -4.8324        | -5.0569          | 0.5664             | 0.2245          | -878.3029      | -862.6211    | -4.1328         | -4.0279       |


### Framework versions

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