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

This model is a fine-tuned version of [EllieS/zephyr-sft-timedial](https://huggingface.co/EllieS/zephyr-sft-timedial) on the EllieS/timedial_selfgen dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0055
- Rewards/chosen: 0.4843
- Rewards/rejected: -5.0618
- Rewards/accuracies: 1.0
- Rewards/margins: 5.5461
- Logps/rejected: -740.9361
- Logps/chosen: -96.9992
- Logits/rejected: -3.1155
- Logits/chosen: -2.6815

## 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
- gradient_accumulation_steps: 2
- total_train_batch_size: 4
- 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 |
|:-------------:|:-----:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:|
| 0.0166        | 0.35  | 100  | 0.0198          | 0.4885         | -3.4443          | 1.0                | 3.9328          | -579.1801      | -96.5815     | -3.1058         | -2.6808       |
| 0.0015        | 0.7   | 200  | 0.0055          | 0.4843         | -5.0618          | 1.0                | 5.5461          | -740.9361      | -96.9992     | -3.1155         | -2.6815       |


### Framework versions

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