---
base_model: alignment-handbook/zephyr-7b-sft-full
datasets:
- generation/GPT4
library_name: peft
license: apache-2.0
tags:
- alignment-handbook
- trl
- dpo
- generated_from_trainer
model-index:
- name: zephyr-dpo-qlora-gpt4-5e-7
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# zephyr-dpo-qlora-gpt4-5e-7

This model is a fine-tuned version of [alignment-handbook/zephyr-7b-sft-full](https://huggingface.co/alignment-handbook/zephyr-7b-sft-full) on the generation/GPT4 dataset.
It achieves the following results on the evaluation set:
- Loss: 0.6861
- Rewards/chosen: -0.0552
- Rewards/rejected: -0.0760
- Rewards/accuracies: 0.5910
- Rewards/margins: 0.0208
- Rewards/margins Max: 0.1489
- Rewards/margins Min: -0.0942
- Rewards/margins Std: 0.0802
- Logps/rejected: -266.1821
- Logps/chosen: -290.1167
- Logits/rejected: -2.7232
- Logits/chosen: -2.7609

## 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: 4
- eval_batch_size: 8
- seed: 42
- distributed_type: multi-GPU
- num_devices: 2
- gradient_accumulation_steps: 2
- total_train_batch_size: 16
- total_eval_batch_size: 16
- 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 | Rewards/margins Max | Rewards/margins Min | Rewards/margins Std | Logps/rejected | Logps/chosen | Logits/rejected | Logits/chosen |
|:-------------:|:-----:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:-------------------:|:-------------------:|:-------------------:|:--------------:|:------------:|:---------------:|:-------------:|
| 0.6666        | 0.28  | 100  | 0.6907          | -0.0061        | -0.0128          | 0.5780             | 0.0067          | 0.0489              | -0.0295             | 0.0259              | -259.8633      | -285.2067    | -2.7596         | -2.7978       |
| 0.6251        | 0.56  | 200  | 0.6876          | -0.0360        | -0.0522          | 0.5870             | 0.0162          | 0.1195              | -0.0752             | 0.0641              | -263.7989      | -288.1948    | -2.7319         | -2.7700       |
| 0.6029        | 0.85  | 300  | 0.6862          | -0.0539        | -0.0744          | 0.5870             | 0.0206          | 0.1479              | -0.0932             | 0.0795              | -266.0218      | -289.9789    | -2.7191         | -2.7573       |


### Framework versions

- PEFT 0.7.1
- Transformers 4.39.0.dev0
- Pytorch 2.1.2+cu121
- Datasets 2.14.6
- Tokenizers 0.15.2