---
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: 0.5352
- Rewards/chosen: 0.5766
- Rewards/rejected: -0.3207
- Rewards/accuracies: 0.7617
- Rewards/margins: 0.8972
- Logps/rejected: -269.0807
- Logps/chosen: -251.0624
- Logits/rejected: -2.4374
- Logits/chosen: -2.4784

## 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 |
|:-------------:|:-----:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:|
| 0.565         | 0.21  | 100  | 0.5718          | 0.5950         | -0.0056          | 0.7383             | 0.6006          | -262.7792      | -250.6930    | -2.5105         | -2.5504       |
| 0.5467        | 0.42  | 200  | 0.5433          | 0.6478         | -0.1115          | 0.7461             | 0.7594          | -264.8979      | -249.6371    | -2.4783         | -2.5179       |
| 0.517         | 0.63  | 300  | 0.5370          | 0.5686         | -0.2689          | 0.7695             | 0.8374          | -268.0445      | -251.2220    | -2.5203         | -2.5623       |
| 0.518         | 0.84  | 400  | 0.5348          | 0.6286         | -0.2212          | 0.7539             | 0.8498          | -267.0915      | -250.0218    | -2.4324         | -2.4731       |


### Framework versions

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