peft tensorboard safetensors mistral alignment-handbook generated_from_trainer trl dpo dataset:HuggingFaceH4/ultrafeedback_binarized base_model:alignment-handbook/zephyr-7b-sft-full license:apache-2.0 region:us
---
license: apache-2.0
library_name: peft
tags:
- alignment-handbook
- generated_from_trainer
- trl
- dpo
- generated_from_trainer
datasets:
- HuggingFaceH4/ultrafeedback_binarized
base_model: alignment-handbook/zephyr-7b-sft-full
model-index:
- name: zephyr-7b-dpo-lora-ultrafeedback
  results: []
---

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# zephyr-7b-dpo-lora-ultrafeedback

This model is a fine-tuned version of [EllieS/zephyr-7b-sft-qlora](https://huggingface.co/EllieS/zephyr-7b-sft-qlora) on the HuggingFaceH4/ultrafeedback_binarized dataset.
It achieves the following results on the evaluation set:
- Loss: 0.5939
- Rewards/chosen: -0.2154
- Rewards/rejected: -0.5247
- Rewards/accuracies: 0.6920
- Rewards/margins: 0.3093
- Logps/rejected: -320.4754
- Logps/chosen: -313.5164
- Logits/rejected: -2.1488
- Logits/chosen: -2.2262

## 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-06
- train_batch_size: 4
- eval_batch_size: 8
- seed: 42
- distributed_type: multi-GPU
- gradient_accumulation_steps: 2
- total_train_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 |
|:-------------:|:-----:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:|
| 0.5796        | 0.92  | 7000 | 0.5940          | -0.2151        | -0.5243          | 0.6940             | 0.3091          | -320.4359      | -313.4948    | -2.1487         | -2.2261       |


### Framework versions

- PEFT 0.7.1
- Transformers 4.36.2
- Pytorch 2.1.1+cu121
- Datasets 2.14.6
- Tokenizers 0.15.0