---
license: apache-2.0
base_model: alignment-handbook/zephyr-7b-sft-full
tags:
- trl
- dpo
- generated_from_trainer
model-index:
- name: zephyr-7b-dpo-full-gpt_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-gpt_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: 0.4898
- Rewards/chosen: -0.9477
- Rewards/rejected: -1.9210
- Rewards/accuracies: 0.7543
- Rewards/margins: 0.9733
- Logps/rejected: -438.6234
- Logps/chosen: -379.8649
- Logits/rejected: 2.2425
- Logits/chosen: 0.9259

## 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 |
|:-------------:|:------:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:|
| 0.5718        | 0.2294 | 100  | 0.5525          | -0.3811        | -0.9418          | 0.6940             | 0.5607          | -340.7015      | -323.2031    | -1.1398         | -1.3666       |
| 0.5281        | 0.4587 | 200  | 0.5102          | -0.6195        | -1.4237          | 0.7457             | 0.8042          | -388.8913      | -347.0378    | 1.0061          | -0.1205       |
| 0.5213        | 0.6881 | 300  | 0.4939          | -0.9485        | -1.8771          | 0.7543             | 0.9286          | -434.2354      | -379.9385    | 1.7281          | 0.3985        |
| 0.5037        | 0.9174 | 400  | 0.4898          | -0.9477        | -1.9210          | 0.7543             | 0.9733          | -438.6234      | -379.8649    | 2.2425          | 0.9259        |


### Framework versions

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