---
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: 0.5168
- Rewards/chosen: 0.1142
- Rewards/rejected: -0.9329
- Rewards/accuracies: 0.7695
- Rewards/margins: 1.0471
- Logps/rejected: -272.7659
- Logps/chosen: -262.3270
- Logits/rejected: -2.5421
- Logits/chosen: -2.5184

## 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 |
|:-------------:|:-----:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:|
| 0.5155        | 0.21  | 100  | 0.5466          | 0.2422         | -0.6585          | 0.7656             | 0.9007          | -270.0222      | -261.0468    | -2.6271         | -2.6117       |
| 0.4988        | 0.42  | 200  | 0.5294          | 0.0326         | -0.9993          | 0.7617             | 1.0320          | -273.4304      | -263.1426    | -2.5977         | -2.5791       |
| 0.5354        | 0.63  | 300  | 0.5235          | 0.5272         | -0.4961          | 0.7656             | 1.0232          | -268.3980      | -258.1974    | -2.5449         | -2.5231       |
| 0.5043        | 0.84  | 400  | 0.5181          | 0.1494         | -0.9114          | 0.7734             | 1.0608          | -272.5513      | -261.9752    | -2.5355         | -2.5122       |


### Framework versions

- Transformers 4.36.2
- Pytorch 2.1.2
- Datasets 2.14.6
- Tokenizers 0.15.2