---
license: apache-2.0
base_model: alignment-handbook/zephyr-7b-sft-full
tags:
- alignment-handbook
- 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: 0.5028
- Rewards/chosen: -0.9469
- Rewards/rejected: -1.8932
- Rewards/accuracies: 0.7656
- Rewards/margins: 0.9463
- Logps/rejected: -451.4661
- Logps/chosen: -357.2325
- Logits/rejected: 1.5731
- Logits/chosen: 0.6530

## 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 |
|:-------------:|:-----:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:|
| 0.5545        | 0.21  | 100  | 0.5658          | -0.4953        | -1.1217          | 0.7188             | 0.6264          | -374.3159      | -312.0799    | -1.0287         | -1.3212       |
| 0.5026        | 0.42  | 200  | 0.5202          | -0.8995        | -1.7718          | 0.7461             | 0.8723          | -439.3264      | -352.4985    | 0.5190          | -0.1773       |
| 0.5106        | 0.63  | 300  | 0.5104          | -0.7946        | -1.6285          | 0.7656             | 0.8339          | -424.9976      | -342.0043    | 0.9099          | 0.0862        |
| 0.4859        | 0.84  | 400  | 0.5031          | -0.9777        | -1.9580          | 0.7578             | 0.9803          | -457.9452      | -360.3139    | 1.7438          | 0.7818        |


### Framework versions

- Transformers 4.36.2
- Pytorch 2.1.2+cu121
- Datasets 2.14.6
- Tokenizers 0.15.0