---
library_name: transformers
license: apache-2.0
base_model: alignment-handbook/zephyr-7b-sft-full
tags:
- trl
- dpo
- generated_from_trainer
model-index:
- name: zephyr-7b-uf-dpo-2e
  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-uf-dpo-2e

This model is a fine-tuned version of [alignment-handbook/zephyr-7b-sft-full](https://huggingface.co/alignment-handbook/zephyr-7b-sft-full) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.4996
- Rewards/chosen: -1.5624
- Rewards/rejected: -2.7607
- Rewards/accuracies: 0.7734
- Rewards/margins: 1.1983
- Logps/rejected: -538.7272
- Logps/chosen: -418.8674
- Logits/rejected: 2.1269
- Logits/chosen: 1.2559

## 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: 42
- distributed_type: multi-GPU
- num_devices: 8
- gradient_accumulation_steps: 4
- total_train_batch_size: 256
- 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: 2

### Training results

| Training Loss | Epoch  | Step | Validation Loss | Rewards/chosen | Rewards/rejected | Rewards/accuracies | Rewards/margins | Logps/rejected | Logps/chosen | Logits/rejected | Logits/chosen |
|:-------------:|:------:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:|
| 0.5424        | 0.5021 | 120  | 0.5378          | -0.5794        | -1.3437          | 0.7578             | 0.7642          | -397.0288      | -320.5744    | -0.5261         | -0.7461       |
| 0.4857        | 1.0042 | 240  | 0.5071          | -0.9384        | -1.8536          | 0.7695             | 0.9153          | -448.0264      | -356.4662    | 0.8934          | 0.1618        |
| 0.3605        | 1.5063 | 360  | 0.4996          | -1.5624        | -2.7607          | 0.7734             | 1.1983          | -538.7272      | -418.8674    | 2.1269          | 1.2559        |


### Framework versions

- Transformers 4.44.1
- Pytorch 2.1.2+cu121
- Datasets 2.21.0
- Tokenizers 0.19.1