---
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
  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

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: 0.5055
- Rewards/chosen: -0.9459
- Rewards/rejected: -1.9033
- Rewards/accuracies: 0.7812
- Rewards/margins: 0.9573
- Logps/rejected: -452.9886
- Logps/chosen: -357.2234
- Logits/rejected: 1.2877
- Logits/chosen: 0.5168

## 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: 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 |
|:-------------:|:------:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:|
| 0.5659        | 0.2092 | 100  | 0.5701          | -0.7175        | -1.2998          | 0.7148             | 0.5824          | -392.6456      | -334.3749    | -0.7859         | -0.9821       |
| 0.5493        | 0.4184 | 200  | 0.5264          | -0.7175        | -1.5459          | 0.7734             | 0.8284          | -417.2501      | -334.3752    | 0.2805          | -0.3142       |
| 0.493         | 0.6276 | 300  | 0.5119          | -0.9435        | -1.8186          | 0.7617             | 0.8751          | -444.5215      | -356.9808    | 1.2687          | 0.5290        |
| 0.5014        | 0.8368 | 400  | 0.5055          | -0.9459        | -1.9033          | 0.7812             | 0.9573          | -452.9886      | -357.2234    | 1.2877          | 0.5168        |


### Framework versions

- Transformers 4.43.1
- Pytorch 2.1.2+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1