---
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: 0.4968
- Rewards/chosen: -1.2029
- Rewards/rejected: -2.2447
- Rewards/accuracies: 0.7617
- Rewards/margins: 1.0418
- Logps/rejected: -487.1403
- Logps/chosen: -382.8826
- Logits/rejected: 1.6118
- Logits/chosen: 0.6753

## 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 |
|:-------------:|:------:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:|
| 0.5632        | 0.2092 | 100  | 0.5684          | -0.8769        | -1.4450          | 0.7305             | 0.5681          | -407.1669      | -350.2800    | -0.3489         | -0.6128       |
| 0.5374        | 0.4184 | 200  | 0.5202          | -0.7727        | -1.5477          | 0.7852             | 0.7750          | -417.4406      | -339.8678    | -0.1011         | -0.6617       |
| 0.4826        | 0.6276 | 300  | 0.5018          | -1.1013        | -2.0815          | 0.7734             | 0.9802          | -470.8159      | -372.7218    | 1.3131          | 0.4518        |
| 0.495         | 0.8368 | 400  | 0.4969          | -1.1626        | -2.1853          | 0.7773             | 1.0227          | -481.1959      | -378.8522    | 1.4928          | 0.5873        |


### Framework versions

- Transformers 4.40.1
- Pytorch 2.1.2+cu118
- Datasets 2.19.0
- Tokenizers 0.19.1