---
license: apache-2.0
library_name: peft
tags:
- alignment-handbook
- generated_from_trainer
- trl
- dpo
- generated_from_trainer
datasets:
- EllieS/pubmedqa_dpo_selfgen_data
base_model: alignment-handbook/zephyr-7b-sft-full
model-index:
- name: zephyr-7b-dpo-lora-pubmedqa-selfgen-old
  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-lora-pubmedqa-selfgen-old

This model is a fine-tuned version of [EllieS/zephyr-7b-sft-qlora](https://huggingface.co/EllieS/zephyr-7b-sft-qlora) on the EllieS/pubmedqa_dpo_selfgen_data dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0027
- Rewards/chosen: -1.9349
- Rewards/rejected: -10.4879
- Rewards/accuracies: 1.0
- Rewards/margins: 8.5530
- Logps/rejected: -1094.3392
- Logps/chosen: -260.5620
- Logits/rejected: -2.3781
- Logits/chosen: -2.6042

## 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: 2
- gradient_accumulation_steps: 2
- total_train_batch_size: 8
- 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 | Logps/rejected | Logps/chosen | Logits/rejected | Logits/chosen |
|:-------------:|:-----:|:-----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:|
| 0.023         | 0.42  | 7000  | 0.0164          | -1.0835        | -8.5927          | 1.0                | 7.5092          | -904.8198      | -175.4290    | -2.8442         | -2.8776       |
| 0.0052        | 0.83  | 14000 | 0.0026          | -1.9746        | -10.4931         | 1.0                | 8.5185          | -1094.8602     | -264.5324    | -2.3838         | -2.6053       |


### Framework versions

- PEFT 0.7.1
- Transformers 4.36.2
- Pytorch 2.1.2+cu121
- Datasets 2.14.6
- Tokenizers 0.15.2