---
base_model: alignment-handbook/zephyr-7b-sft-full
datasets:
- generation/GPT4
library_name: peft
license: apache-2.0
tags:
- alignment-handbook
- trl
- dpo
- generated_from_trainer
model-index:
- name: zephyr-dpop-qlora-gpt4-5e-7
  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-dpop-qlora-gpt4-5e-7

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/GPT4 dataset.
It achieves the following results on the evaluation set:
- Loss: 0.7751
- Positive Losses: 0.8596
- Dpo Losses: 0.6847
- Rewards/chosen: 0.0247
- Rewards/rejected: 0.0066
- Rewards/accuracies: 0.5900
- Rewards/margins: 0.0182
- Rewards/margins Max: 0.1239
- Rewards/margins Min: -0.0706
- Rewards/margins Std: 0.0644
- Logps/rejected: -257.9209
- Logps/chosen: -282.1187
- Logits/rejected: -2.7289
- Logits/chosen: -2.7668

## 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 | Positive Losses | Dpo Losses | 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 |
|:-------------:|:-----:|:----:|:---------------:|:---------------:|:----------:|:--------------:|:----------------:|:------------------:|:---------------:|:-------------------:|:-------------------:|:-------------------:|:--------------:|:------------:|:---------------:|:-------------:|
| 0.6709        | 0.28  | 100  | 0.7044          | 0.1334          | 0.6900     | 0.0150         | 0.0085           | 0.5830             | 0.0065          | 0.0434              | -0.0241             | 0.0224              | -257.7293      | -283.0980    | -2.7607         | -2.7991       |
| 0.6375        | 0.56  | 200  | 0.7539          | 0.6398          | 0.6862     | 0.0226         | 0.0079           | 0.5880             | 0.0147          | 0.1022              | -0.0596             | 0.0535              | -257.7878      | -282.3363    | -2.7335         | -2.7718       |
| 0.6203        | 0.85  | 300  | 0.7727          | 0.8307          | 0.6847     | 0.0252         | 0.0072           | 0.5920             | 0.0180          | 0.1227              | -0.0701             | 0.0638              | -257.8545      | -282.0691    | -2.7315         | -2.7691       |


### Framework versions

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