---
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: 0.2141
- Rewards/chosen: 4.2427
- Rewards/rejected: -5.5362
- Rewards/accuracies: 0.9141
- Rewards/margins: 9.7789
- Logps/rejected: -191.0266
- Logps/chosen: -248.9478
- Logits/rejected: -2.4882
- Logits/chosen: -2.5045

## 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 |
|:-------------:|:-----:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:|
| 0.3315        | 0.21  | 100  | 0.2975          | 3.4373         | -3.8279          | 0.9023             | 7.2653          | -187.6101      | -250.5587    | -2.5158         | -2.5301       |
| 0.2909        | 0.42  | 200  | 0.2754          | 4.8618         | -4.1200          | 0.9180             | 8.9818          | -188.1942      | -247.7097    | -2.5310         | -2.5459       |
| 0.6445        | 0.63  | 300  | 0.2245          | 4.2165         | -5.3713          | 0.9102             | 9.5878          | -190.6968      | -249.0004    | -2.4915         | -2.5059       |
| 0.2653        | 0.84  | 400  | 0.2103          | 4.5125         | -5.2808          | 0.9258             | 9.7933          | -190.5157      | -248.4084    | -2.4965         | -2.5123       |


### Framework versions

- Transformers 4.38.2
- Pytorch 2.1.2+cu118
- Datasets 2.16.1
- Tokenizers 0.15.2