---
base_model: alignment-handbook/zephyr-7b-sft-full
datasets:
- generation/UF
library_name: peft
license: apache-2.0
tags:
- alignment-handbook
- trl
- dpo
- generated_from_trainer
model-index:
- name: zephyr-dpo-qlora-uf-ours-5e-7-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-7-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 generation/UF dataset.
It achieves the following results on the evaluation set:
- Loss: 0.6853
- Rewards/chosen: 0.0412
- Rewards/rejected: 0.0193
- Rewards/accuracies: 0.5880
- Rewards/margins: 0.0219
- Rewards/margins Max: 0.1290
- Rewards/margins Min: -0.0714
- Rewards/margins Std: 0.0669
- Logps/rejected: -256.6506
- Logps/chosen: -280.4748
- Logits/rejected: -2.7413
- Logits/chosen: -2.7795

## 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: 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 |
|:-------------:|:-----:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:-------------------:|:-------------------:|:-------------------:|:--------------:|:------------:|:---------------:|:-------------:|
| 0.6803        | 0.28  | 100  | 0.6908          | 0.0154         | 0.0089           | 0.5800             | 0.0065          | 0.0406              | -0.0225             | 0.0210              | -257.6936      | -283.0562    | -2.7654         | -2.8039       |
| 0.6568        | 0.56  | 200  | 0.6869          | 0.0391         | 0.0218           | 0.5960             | 0.0173          | 0.1025              | -0.0572             | 0.0531              | -256.3947      | -280.6796    | -2.7494         | -2.7877       |
| 0.6398        | 0.85  | 300  | 0.6854          | 0.0408         | 0.0192           | 0.5900             | 0.0216          | 0.1281              | -0.0713             | 0.0665              | -256.6587      | -280.5105    | -2.7434         | -2.7814       |


### Framework versions

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