---
base_model: alignment-handbook/zephyr-7b-sft-full
library_name: peft
license: apache-2.0
tags:
- trl
- dpo
- generated_from_trainer
model-index:
- name: zephyr-dpo-qlora-uf-ours-5e-6-epoch1
  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-dpo-qlora-uf-ours-5e-6-epoch1

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 None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.8935
- Rewards/chosen: -4.8886
- Rewards/rejected: -5.8224
- Rewards/accuracies: 0.6470
- Rewards/margins: 0.9339
- Rewards/margins Max: 4.5089
- Rewards/margins Min: -2.8033
- Rewards/margins Std: 2.4986
- Logps/rejected: -840.8231
- Logps/chosen: -773.4503
- Logits/rejected: -1.3417
- Logits/chosen: -1.4023

## 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
- num_devices: 2
- gradient_accumulation_steps: 2
- total_train_batch_size: 16
- total_eval_batch_size: 16
- 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 | Rewards/margins Max | Rewards/margins Min | Rewards/margins Std | Logps/rejected | Logps/chosen | Logits/rejected | Logits/chosen |
|:-------------:|:-----:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:-------------------:|:-------------------:|:-------------------:|:--------------:|:------------:|:---------------:|:-------------:|
| 0.4419        | 0.28  | 100  | 0.6650          | -0.4529        | -0.5977          | 0.6240             | 0.1449          | 0.8619              | -0.5418             | 0.4692              | -318.3518      | -329.8811    | -2.5449         | -2.5719       |
| 0.1872        | 0.56  | 200  | 0.7859          | -2.8392        | -3.5400          | 0.6630             | 0.7008          | 3.4374              | -2.1827             | 1.9158              | -612.5828      | -568.5178    | -1.4159         | -1.4771       |
| 0.1102        | 0.85  | 300  | 0.8935          | -4.8886        | -5.8224          | 0.6470             | 0.9339          | 4.5089              | -2.8033             | 2.4986              | -840.8231      | -773.4503    | -1.3417         | -1.4023       |


### Framework versions

- PEFT 0.7.1
- Transformers 4.39.0.dev0
- Pytorch 2.1.2+cu121
- Datasets 2.14.6
- Tokenizers 0.15.2