---
base_model: alignment-handbook/zephyr-7b-sft-full
datasets:
- generation/UF6konly
library_name: peft
license: apache-2.0
tags:
- alignment-handbook
- trl
- dpo
- generated_from_trainer
model-index:
- name: zephyr-dpop-qlora-uf6k-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-uf6k-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/UF6konly dataset.
It achieves the following results on the evaluation set:
- Loss: 0.6916
- Positive Losses: 0.0091
- Dpo Losses: 0.6900
- Rewards/chosen: 0.0284
- Rewards/rejected: 0.0220
- Rewards/accuracies: 0.6570
- Rewards/margins: 0.0064
- Rewards/margins Max: 0.0305
- Rewards/margins Min: -0.0149
- Rewards/margins Std: 0.0150
- Logps/rejected: -256.3835
- Logps/chosen: -281.7567
- Logits/rejected: -2.7680
- Logits/chosen: -2.8065

## 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 |
|:-------------:|:-----:|:----:|:---------------:|:---------------:|:----------:|:--------------:|:----------------:|:------------------:|:---------------:|:-------------------:|:-------------------:|:-------------------:|:--------------:|:------------:|:---------------:|:-------------:|
| 0.6925        | 0.3   | 100  | 0.6926          | 0.0030          | 0.6919     | 0.0172         | 0.0146           | 0.6330             | 0.0026          | 0.0140              | -0.0079             | 0.0073              | -257.1209      | -282.8758    | -2.7669         | -2.8058       |
| 0.6928        | 0.61  | 200  | 0.6919          | 0.0086          | 0.6904     | 0.0259         | 0.0203           | 0.6470             | 0.0056          | 0.0265              | -0.0130             | 0.0131              | -256.5479      | -282.0022    | -2.7678         | -2.8064       |
| 0.6916        | 0.91  | 300  | 0.6914          | 0.0070          | 0.6900     | 0.0283         | 0.0219           | 0.6630             | 0.0064          | 0.0305              | -0.0148             | 0.0149              | -256.3924      | -281.7664    | -2.7635         | -2.8024       |


### Framework versions

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