---
license: apache-2.0
base_model: alignment-handbook/zephyr-7b-sft-full
tags:
- alignment-handbook
- trl
- dpo
- generated_from_trainer
- trl
- dpo
- generated_from_trainer
datasets:
- HuggingFaceH4/ultrafeedback_binarized
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 is a fine-tuned version of [alignment-handbook/zephyr-7b-sft-full](https://huggingface.co/alignment-handbook/zephyr-7b-sft-full) on the HuggingFaceH4/ultrafeedback_binarized dataset.
It achieves the following results on the evaluation set:
- Loss: 0.5025
- Rewards/chosen: -1.0211
- Rewards/rejected: -2.0056
- Rewards/accuracies: 0.7773
- Rewards/margins: 0.9845
- Logps/rejected: -463.2262
- Logps/chosen: -364.7427
- Logits/rejected: 1.5124
- Logits/chosen: 0.6094

## 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 |
|:-------------:|:------:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:|
| 0.5655        | 0.2092 | 100  | 0.5746          | -0.7161        | -1.2966          | 0.7070             | 0.5805          | -392.3193      | -334.2372    | -0.4365         | -0.6501       |
| 0.5457        | 0.4184 | 200  | 0.5249          | -0.9842        | -1.7929          | 0.7773             | 0.8086          | -441.9472      | -361.0536    | 0.9213          | 0.3160        |
| 0.4955        | 0.6276 | 300  | 0.5092          | -0.9649        | -1.8656          | 0.7656             | 0.9007          | -449.2220      | -359.1224    | 1.2341          | 0.4705        |
| 0.5033        | 0.8368 | 400  | 0.5032          | -1.0014        | -1.9606          | 0.7734             | 0.9592          | -458.7184      | -362.7651    | 1.3908          | 0.5145        |


### Framework versions

- Transformers 4.44.0
- Pytorch 2.4.0+cu121
- Datasets 2.21.0
- Tokenizers 0.19.1