---
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 the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.2144
- Rewards/chosen: -2.2032
- Rewards/rejected: -6.3258
- Rewards/accuracies: 0.8984
- Rewards/margins: 4.1226
- Logps/rejected: -812.5331
- Logps/chosen: -477.7561
- Logits/rejected: 1.2277
- Logits/chosen: -0.1965

## 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 |
|:-------------:|:-----:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:|
| 0.3617        | 0.21  | 100  | 0.3445          | -1.1381        | -2.9522          | 0.8633             | 1.8140          | -475.1705      | -371.2483    | -1.3192         | -1.5665       |
| 0.2941        | 0.42  | 200  | 0.2595          | -1.5303        | -4.5965          | 0.8711             | 3.0662          | -639.6045      | -410.4631    | -0.2909         | -1.0255       |
| 0.259         | 0.63  | 300  | 0.2187          | -2.2257        | -6.1115          | 0.8945             | 3.8858          | -791.1059      | -480.0016    | 1.2573          | -0.0803       |
| 0.2268        | 0.84  | 400  | 0.2144          | -2.2032        | -6.3258          | 0.8984             | 4.1226          | -812.5331      | -477.7561    | 1.2277          | -0.1965       |


### Framework versions

- Transformers 4.38.2
- Pytorch 2.1.2+cu118
- Datasets 2.16.1
- Tokenizers 0.15.2