---
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-magpi-low-margin-3-epochs
  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-magpi-low-margin-3-epochs

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: 0.0010
- Rewards/chosen: -3.9690
- Rewards/rejected: -58.1646
- Rewards/accuracies: 0.9980
- Rewards/margins: 54.1956
- Logps/rejected: -6457.2515
- Logps/chosen: -763.8833
- Logits/rejected: 4.2613
- Logits/chosen: 1.2520

## 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: 3

### Training results

| Training Loss | Epoch  | Step | Validation Loss | Rewards/chosen | Rewards/rejected | Rewards/accuracies | Rewards/margins | Logps/rejected | Logps/chosen | Logits/rejected | Logits/chosen |
|:-------------:|:------:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:|
| 0.009         | 0.4739 | 50   | 0.0026          | -0.6343        | -34.9234         | 0.9960             | 34.2890         | -4133.1240     | -430.4127    | -2.6406         | -2.9323       |
| 0.0158        | 0.9479 | 100  | 0.0003          | -1.2700        | -43.4290         | 1.0                | 42.1589         | -4983.6846     | -493.9866    | 3.0564          | -0.5346       |
| 0.0007        | 1.4218 | 150  | 0.0005          | -2.9913        | -52.6639         | 0.9980             | 49.6726         | -5907.1768     | -666.1114    | 4.1711          | 0.7924        |
| 0.0015        | 1.8957 | 200  | 0.0006          | -3.5933        | -54.2858         | 0.9980             | 50.6925         | -6069.3657     | -726.3069    | 4.0713          | 1.0487        |
| 0.0           | 2.3697 | 250  | 0.0009          | -3.9372        | -57.6402         | 0.9980             | 53.7030         | -6404.8037     | -760.6977    | 4.2488          | 1.2599        |
| 0.0001        | 2.8436 | 300  | 0.0010          | -3.9690        | -58.1646         | 0.9980             | 54.1956         | -6457.2515     | -763.8833    | 4.2613          | 1.2520        |


### Framework versions

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