---
license: apache-2.0
base_model: alignment-handbook/zephyr-7b-sft-full
tags:
- alignment-handbook
- trl
- dpo
- generated_from_trainer
- trl
- dpo
- generated_from_trainer
datasets:
- HuggingFaceH4/ultrafeedback_binarized
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 the HuggingFaceH4/ultrafeedback_binarized dataset.
It achieves the following results on the evaluation set:
- Loss: 0.5061
- Rewards/chosen: -1.0205
- Rewards/rejected: -1.9944
- Rewards/accuracies: 0.7812
- Rewards/margins: 0.9740
- Logps/rejected: -462.1064
- Logps/chosen: -364.6778
- Logits/rejected: 2.4089
- Logits/chosen: 1.6213

## 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 |
|:-------------:|:------:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:|
| 0.5644        | 0.2092 | 100  | 0.5695          | -0.6773        | -1.2063          | 0.7188             | 0.5290          | -383.2874      | -330.3586    | -0.4241         | -0.6326       |
| 0.5445        | 0.4184 | 200  | 0.5354          | -0.6109        | -1.3936          | 0.7695             | 0.7827          | -402.0177      | -323.7153    | 0.9697          | 0.1924        |
| 0.4909        | 0.6276 | 300  | 0.5138          | -0.9252        | -1.8338          | 0.7578             | 0.9086          | -446.0438      | -355.1510    | 2.1667          | 1.4140        |
| 0.5036        | 0.8368 | 400  | 0.5066          | -0.9998        | -1.9548          | 0.7812             | 0.9549          | -458.1404      | -362.6149    | 2.3428          | 1.5651        |


### Framework versions

- Transformers 4.44.0
- Pytorch 2.1.2+cu121
- Datasets 2.21.0
- Tokenizers 0.19.1