---
library_name: transformers
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-group-dpo-full-4
  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-group-dpo-full-4

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: 0.3329
- Rewards/chosen: -3.5718
- Rewards/rejected: -6.6220
- Rewards/accuracies: 0.8281
- Rewards/margins: 3.0502
- Logps/rejected: -952.0885
- Logps/chosen: -639.7113
- Logits/rejected: -0.6186
- Logits/chosen: -1.1189

## 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: 4
- total_train_batch_size: 256
- 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 |
|:-------------:|:------:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:|
| 0.2094        | 0.2303 | 100  | 0.4273          | -1.2973        | -2.4710          | 0.7768             | 1.1737          | -536.9892      | -412.2621    | -2.8747         | -2.8886       |
| 0.1232        | 0.4606 | 200  | 0.3541          | -2.8531        | -5.1625          | 0.8069             | 2.3094          | -806.1392      | -567.8411    | -1.2949         | -1.6181       |
| 0.1           | 0.6908 | 300  | 0.3383          | -3.9067        | -6.9476          | 0.8158             | 3.0409          | -984.6500      | -673.2026    | -0.4879         | -0.9150       |
| 0.0956        | 0.9211 | 400  | 0.3329          | -3.5971        | -6.6557          | 0.8281             | 3.0586          | -955.4623      | -642.2396    | -0.6052         | -1.1035       |


### Framework versions

- Transformers 4.44.1
- Pytorch 2.1.2+cu121
- Datasets 2.21.0
- Tokenizers 0.19.1