---
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: 0.4980
- Rewards/chosen: -2.1242
- Rewards/rejected: -3.0843
- Rewards/accuracies: 0.7380
- Rewards/margins: 0.9601
- Logps/rejected: -497.6194
- Logps/chosen: -397.4371
- Logits/rejected: -0.2690
- Logits/chosen: -0.8689

## 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: 1
- eval_batch_size: 2
- seed: 42
- distributed_type: multi-GPU
- num_devices: 4
- gradient_accumulation_steps: 8
- total_train_batch_size: 32
- total_eval_batch_size: 8
- 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 |
|:-------------:|:------:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:|
| 0.5294        | 0.2617 | 500  | 0.5470          | -1.7358        | -2.3925          | 0.6980             | 0.6567          | -428.4361      | -358.6011    | -0.4724         | -0.8639       |
| 0.5232        | 0.5234 | 1000 | 0.5099          | -1.9184        | -2.7566          | 0.7160             | 0.8382          | -464.8497      | -376.8646    | -0.0573         | -0.6162       |
| 0.4707        | 0.7851 | 1500 | 0.5000          | -2.1875        | -3.1436          | 0.7320             | 0.9561          | -503.5489      | -403.7713    | -0.0548         | -0.6702       |


### Framework versions

- Transformers 4.40.1
- Pytorch 2.1.2
- Datasets 2.19.0
- Tokenizers 0.19.1