---
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: 0.5018
- Rewards/chosen: -1.1027
- Rewards/rejected: -2.0673
- Rewards/accuracies: 0.7656
- Rewards/margins: 0.9646
- Logps/rejected: -469.4237
- Logps/chosen: -372.8636
- Logits/rejected: -0.4162
- Logits/chosen: -1.1470

## 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 |
|:-------------:|:-----:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:|
| 0.5767        | 0.21  | 100  | 0.5762          | -0.5418        | -1.0929          | 0.7148             | 0.5512          | -371.9847      | -316.7739    | -1.7636         | -1.7624       |
| 0.5185        | 0.42  | 200  | 0.5312          | -1.0541        | -1.7947          | 0.7656             | 0.7407          | -442.1638      | -368.0010    | -0.6928         | -1.0192       |
| 0.5166        | 0.63  | 300  | 0.5114          | -1.1529        | -2.0654          | 0.7539             | 0.9125          | -469.2292      | -377.8804    | -0.6568         | -1.2977       |
| 0.5003        | 0.84  | 400  | 0.5023          | -1.0875        | -2.0687          | 0.7695             | 0.9812          | -469.5586      | -371.3432    | -0.3666         | -1.1044       |


### Framework versions

- Transformers 4.39.0.dev0
- Pytorch 2.1.2
- Datasets 2.18.1.dev0
- Tokenizers 0.15.2