---
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-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-low-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: 0.0004
- Rewards/chosen: -1.8844
- Rewards/rejected: -46.8077
- Rewards/accuracies: 1.0
- Rewards/margins: 44.9232
- Logps/rejected: -5321.5576
- Logps/chosen: -555.4259
- Logits/rejected: 2.7529
- Logits/chosen: -1.2323

## 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 |
|:-------------:|:------:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:|
| 0.0066        | 0.4739 | 50   | 0.0028          | -1.0908        | -33.9616         | 0.9980             | 32.8709         | -4036.9529     | -476.0595    | -1.2144         | -1.9103       |
| 0.0177        | 0.9479 | 100  | 0.0006          | -1.6117        | -43.9541         | 1.0                | 42.3424         | -5036.1978     | -528.1522    | 1.4562          | -2.1299       |
| 0.0006        | 1.4218 | 150  | 0.0004          | -1.7244        | -46.1666         | 1.0                | 44.4422         | -5257.4517     | -539.4232    | 1.6969          | -1.9837       |
| 0.0002        | 1.8957 | 200  | 0.0005          | -1.7575        | -44.7450         | 1.0                | 42.9875         | -5115.2886     | -542.7341    | 2.1634          | -2.0033       |
| 0.0001        | 2.3697 | 250  | 0.0004          | -1.8985        | -46.5225         | 1.0                | 44.6240         | -5293.0405     | -556.8339    | 2.7114          | -1.2429       |
| 0.0001        | 2.8436 | 300  | 0.0004          | -1.8844        | -46.8077         | 1.0                | 44.9232         | -5321.5576     | -555.4259    | 2.7529          | -1.2323       |


### Framework versions

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