---
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-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-magpi-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 an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0003
- Rewards/chosen: -1.7320
- Rewards/rejected: -49.6169
- Rewards/accuracies: 1.0
- Rewards/margins: 47.8849
- Logps/rejected: -5602.4775
- Logps/chosen: -540.1784
- Logits/rejected: 1.2551
- Logits/chosen: -1.4806

## 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 |
|:-------------:|:------:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:|
| 0.0007        | 0.2841 | 100  | 0.0010          | -1.3251        | -44.7362         | 0.9980             | 43.4111         | -5114.4058     | -499.4881    | -1.4200         | -2.7411       |
| 0.0007        | 0.5682 | 200  | 0.0004          | -1.6225        | -48.3903         | 1.0                | 46.7678         | -5479.8149     | -529.2302    | 0.7429          | -1.8781       |
| 0.0008        | 0.8523 | 300  | 0.0003          | -1.7320        | -49.6169         | 1.0                | 47.8849         | -5602.4775     | -540.1784    | 1.2551          | -1.4806       |


### Framework versions

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