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---
license: apache-2.0
library_name: peft
tags:
- alignment-handbook
- generated_from_trainer
- trl
- dpo
- generated_from_trainer
datasets:
- HuggingFaceH4/ultrafeedback_binarized
base_model: mistralai/Mistral-7B-v0.1
model-index:
- name: zephyr-7b-dpo-qlora
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-7b-dpo-qlora
This model is a fine-tuned version of [alignment-handbook/zephyr-7b-sft-qlora](https://huggingface.co/alignment-handbook/zephyr-7b-sft-qlora) on the HuggingFaceH4/ultrafeedback_binarized dataset.
It achieves the following results on the evaluation set:
- Loss: 2121.0452
- Rewards/chosen: 0.0578
- Rewards/rejected: -0.0912
- Rewards/accuracies: 0.7599
- Rewards/margins: 0.1490
- Logps/rejected: -253.8891
- Logps/chosen: -259.2458
- Logits/rejected: -2.2028
- Logits/chosen: -2.2552
## 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: 8
- seed: 42
- distributed_type: multi-GPU
- num_devices: 4
- gradient_accumulation_steps: 16
- total_train_batch_size: 128
- total_eval_batch_size: 32
- 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 |
|:-------------:|:-----:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:|
| 2149.4746 | 0.21 | 100 | 2190.7666 | 0.0445 | -0.0848 | 0.7460 | 0.1293 | -253.2523 | -260.5782 | -2.1770 | -2.2229 |
| 2105.1256 | 0.42 | 200 | 2151.1555 | 0.0543 | -0.0961 | 0.7599 | 0.1504 | -254.3840 | -259.5941 | -2.2074 | -2.2603 |
| 2135.4973 | 0.63 | 300 | 2129.0896 | 0.0626 | -0.0799 | 0.7560 | 0.1425 | -252.7585 | -258.7624 | -2.2232 | -2.2765 |
| 2099.8018 | 0.84 | 400 | 2121.6672 | 0.0538 | -0.0959 | 0.7540 | 0.1497 | -254.3591 | -259.6440 | -2.2016 | -2.2541 |
### Framework versions
- PEFT 0.7.1
- Transformers 4.36.2
- Pytorch 2.1.1+cu121
- Datasets 2.14.6
- Tokenizers 0.15.2 |