---
license: apache-2.0
base_model: alignment-handbook/zephyr-7b-sft-full
tags:
- trl
- dpo
- alignment-handbook
- generated_from_trainer
model-index:
- name: zephyr-7b-dpo-full-prometheus_consistent-3
  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-full-prometheus_consistent-3

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 None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.5201
- Rewards/chosen: -0.8222
- Rewards/rejected: -1.7957
- Rewards/accuracies: 0.7759
- Rewards/margins: 0.9734
- Logps/rejected: -398.6412
- Logps/chosen: -357.8258
- Logits/rejected: 1.5724
- Logits/chosen: -0.0130

## 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: 8
- eval_batch_size: 8
- seed: 55
- distributed_type: multi-GPU
- num_devices: 8
- gradient_accumulation_steps: 2
- total_train_batch_size: 128
- total_eval_batch_size: 64
- 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 |
|:-------------:|:------:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:|
| 0.5995        | 0.2286 | 100  | 0.5960          | -0.3095        | -0.7496          | 0.7155             | 0.4400          | -294.0323      | -306.5585    | -2.3479         | -2.4655       |
| 0.5431        | 0.4571 | 200  | 0.5326          | -0.6273        | -1.5233          | 0.7629             | 0.8960          | -371.4070      | -338.3311    | -0.0959         | -1.0624       |
| 0.5138        | 0.6857 | 300  | 0.5242          | -0.5729        | -1.4989          | 0.7629             | 0.9260          | -368.9617      | -332.8911    | 0.6740          | -0.7677       |
| 0.5493        | 0.9143 | 400  | 0.5201          | -0.8222        | -1.7957          | 0.7759             | 0.9734          | -398.6412      | -357.8258    | 1.5724          | -0.0130       |


### Framework versions

- Transformers 4.44.0.dev0
- Pytorch 2.1.2
- Datasets 2.20.0
- Tokenizers 0.19.1