---
license: apache-2.0
library_name: peft
tags:
- alignment-handbook
- generated_from_trainer
- trl
- dpo
base_model: alignment-handbook/zephyr-7b-sft-full
datasets:
- updated
- original
model-index:
- name: nash_dpo_rank4_on_vanilla_iter_2
  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. -->

# nash_dpo_rank4_on_vanilla_iter_2

This model is a fine-tuned version of [YYYYYYibo/nash_dpo_rank4_on_vanilla_iter_1](https://huggingface.co/YYYYYYibo/nash_dpo_rank4_on_vanilla_iter_1) on the updated and the original datasets.
It achieves the following results on the evaluation set:
- Loss: 0.6580
- Rewards/chosen: -0.1638
- Rewards/rejected: -0.2696
- Rewards/accuracies: 0.5920
- Rewards/margins: 0.1058
- Logps/rejected: -289.0013
- Logps/chosen: -304.2577
- Logits/rejected: -2.3485
- Logits/chosen: -2.4282

## 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: 2
- eval_batch_size: 2
- seed: 42
- distributed_type: multi-GPU
- num_devices: 4
- gradient_accumulation_steps: 16
- total_train_batch_size: 128
- total_eval_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 |
|:-------------:|:-----:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:|
| 0.5679        | 0.64  | 100  | 0.6580          | -0.1638        | -0.2696          | 0.5920             | 0.1058          | -289.0013      | -304.2577    | -2.3485         | -2.4282       |


### Framework versions

- PEFT 0.7.1
- Transformers 4.36.2
- Pytorch 2.3.0+cu121
- Datasets 2.14.6
- Tokenizers 0.15.2