---
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-magpi-high-bleu-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-high-bleu-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: 0.0050
- Rewards/chosen: -1.4582
- Rewards/rejected: -44.8746
- Rewards/accuracies: 0.9960
- Rewards/margins: 43.4164
- Logps/rejected: -5128.2480
- Logps/chosen: -512.8050
- Logits/rejected: -3.4441
- Logits/chosen: -3.5504

## 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 |
|:-------------:|:------:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:|
| 0.0025        | 0.4739 | 50   | 0.0067          | -1.4454        | -37.1575         | 0.9940             | 35.7120         | -4356.5356     | -511.5262    | -3.0434         | -3.2142       |
| 0.0036        | 0.9479 | 100  | 0.0053          | -2.0303        | -41.2450         | 0.9940             | 39.2146         | -4765.2842     | -570.0164    | -3.2429         | -3.4104       |
| 0.0001        | 1.4218 | 150  | 0.0070          | -1.9459        | -45.2030         | 0.9940             | 43.2570         | -5161.0879     | -561.5757    | -3.5068         | -3.5867       |
| 0.0           | 1.8957 | 200  | 0.0047          | -1.4539        | -44.2686         | 0.9960             | 42.8147         | -5067.6450     | -512.3704    | -3.4229         | -3.5020       |
| 0.0           | 2.3697 | 250  | 0.0050          | -1.4525        | -44.7537         | 0.9960             | 43.3012         | -5116.1577     | -512.2269    | -3.4445         | -3.5510       |
| 0.0           | 2.8436 | 300  | 0.0050          | -1.4582        | -44.8746         | 0.9960             | 43.4164         | -5128.2480     | -512.8050    | -3.4441         | -3.5504       |


### Framework versions

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