---
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: 0.5058
- Rewards/chosen: -1.0287
- Rewards/rejected: -2.0159
- Rewards/accuracies: 0.7773
- Rewards/margins: 0.9873
- Logps/rejected: -464.2831
- Logps/chosen: -365.4620
- Logits/rejected: 0.4997
- Logits/chosen: -0.4859

## 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 |
|:-------------:|:------:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:|
| 0.5721        | 0.2092 | 100  | 0.5709          | -0.7941        | -1.3740          | 0.75               | 0.5798          | -400.0867      | -342.0089    | -1.1226         | -1.3180       |
| 0.5453        | 0.4184 | 200  | 0.5234          | -1.0595        | -1.8701          | 0.7773             | 0.8105          | -449.6958      | -368.5487    | 0.0691          | -0.6851       |
| 0.4933        | 0.6276 | 300  | 0.5102          | -1.0953        | -2.0092          | 0.7695             | 0.9139          | -463.6079      | -372.1221    | 0.3510          | -0.4567       |
| 0.4979        | 0.8368 | 400  | 0.5065          | -0.9786        | -1.9310          | 0.7734             | 0.9524          | -455.7930      | -360.4568    | 0.2947          | -0.6442       |


### Framework versions

- Transformers 4.40.2
- Pytorch 2.1.2+cu118
- Datasets 2.19.1
- Tokenizers 0.19.1