---
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-pubmedqa-ultrafeedback-mix
  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-lora-pubmedqa-ultrafeedback-mix

This model is a fine-tuned version of [EllieS/zephyr-7b-dpo-lora-pubmedqa-mix2](https://huggingface.co/EllieS/zephyr-7b-dpo-lora-pubmedqa-mix2) on the HuggingFaceH4/ultrafeedback_binarized dataset.
It achieves the following results on the evaluation set:
- Loss: 0.5344
- Rewards/chosen: -2.6374
- Rewards/rejected: -3.7727
- Rewards/accuracies: 0.7460
- Rewards/margins: 1.1353
- Logps/rejected: -652.6792
- Logps/chosen: -559.1896
- Logits/rejected: -1.8319
- Logits/chosen: -2.0104

## 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: 1
- eval_batch_size: 1
- seed: 42
- distributed_type: multi-GPU
- num_devices: 2
- gradient_accumulation_steps: 2
- total_train_batch_size: 4
- total_eval_batch_size: 2
- 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 |
|:-------------:|:-----:|:-----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:|
| 0.5795        | 0.2   | 3000  | 0.5888          | -0.7760        | -1.1691          | 0.6830             | 0.3931          | -392.3199      | -373.0482    | -2.3689         | -2.4472       |
| 0.4501        | 0.39  | 6000  | 0.5437          | -2.1190        | -3.1229          | 0.7420             | 1.0038          | -587.6927      | -507.3499    | -1.8484         | -2.0210       |
| 0.3399        | 0.59  | 9000  | 0.5425          | -2.4666        | -3.6163          | 0.7410             | 1.1497          | -637.0340      | -542.1045    | -1.8202         | -2.0023       |
| 0.4636        | 0.79  | 12000 | 0.5347          | -2.6445        | -3.7774          | 0.7450             | 1.1329          | -653.1429      | -559.8973    | -1.8326         | -2.0102       |
| 0.544         | 0.98  | 15000 | 0.5346          | -2.6384        | -3.7732          | 0.7450             | 1.1348          | -652.7231      | -559.2841    | -1.8322         | -2.0103       |


### Framework versions

- PEFT 0.7.1
- Transformers 4.36.2
- Pytorch 2.1.2+cu121
- Datasets 2.14.6
- Tokenizers 0.15.2