---
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: 0.4983
- Rewards/chosen: -2.4880
- Rewards/rejected: -3.6063
- Rewards/accuracies: 0.7695
- Rewards/margins: 1.1182
- Logps/rejected: -623.3074
- Logps/chosen: -511.4043
- Logits/rejected: 0.0233
- Logits/chosen: -0.4369

## 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 |
|:-------------:|:-----:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:|
| 0.5875        | 0.21  | 100  | 0.5814          | -0.6485        | -1.1103          | 0.6953             | 0.4618          | -373.7126      | -327.4548    | -1.8929         | -1.8392       |
| 0.5306        | 0.42  | 200  | 0.5258          | -1.1476        | -1.9595          | 0.7578             | 0.8118          | -458.6297      | -377.3649    | -0.1647         | -0.4835       |
| 0.5097        | 0.63  | 300  | 0.5079          | -2.3601        | -3.3817          | 0.7656             | 1.0216          | -600.8517      | -498.6086    | -0.0574         | -0.4658       |
| 0.4906        | 0.84  | 400  | 0.5000          | -2.3681        | -3.4811          | 0.7695             | 1.1129          | -610.7911      | -499.4172    | -0.0390         | -0.5081       |


### Framework versions

- Transformers 4.38.2
- Pytorch 2.1.2
- Datasets 2.14.6
- Tokenizers 0.15.2