---
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: 1.1843
- Rewards/chosen: -5.6098
- Rewards/rejected: -5.9639
- Rewards/accuracies: 0.5117
- Rewards/margins: 0.3541
- Logps/rejected: -1114.7808
- Logps/chosen: -951.4574
- Logits/rejected: -7.9900
- Logits/chosen: -7.4446

## 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 |
|:-------------:|:-----:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:|
| 0.4015        | 0.26  | 100  | 0.9856          | -4.3603        | -4.6945          | 0.5273             | 0.3341          | -987.8358      | -826.5081    | -6.7933         | -6.4109       |
| 0.3649        | 0.53  | 200  | 1.1239          | -4.8760        | -5.1429          | 0.4883             | 0.2669          | -1032.6809     | -878.0756    | -7.6378         | -7.1525       |
| 0.3506        | 0.79  | 300  | 1.1843          | -5.6098        | -5.9639          | 0.5117             | 0.3541          | -1114.7808     | -951.4574    | -7.9900         | -7.4446       |


### Framework versions

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