---
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-ultrabin-high-margin-3-epochs
  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-ultrabin-high-margin-3-epochs

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: 0.5894
- Rewards/chosen: -2.9914
- Rewards/rejected: -4.9379
- Rewards/accuracies: 0.7578
- Rewards/margins: 1.9464
- Logps/rejected: -756.4492
- Logps/chosen: -561.7738
- Logits/rejected: 3.7803
- Logits/chosen: 2.4993

## 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: 55
- 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: 3

### Training results

| Training Loss | Epoch  | Step | Validation Loss | Rewards/chosen | Rewards/rejected | Rewards/accuracies | Rewards/margins | Logps/rejected | Logps/chosen | Logits/rejected | Logits/chosen |
|:-------------:|:------:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:|
| 0.5611        | 0.3484 | 50   | 0.6184          | -0.0925        | -0.3566          | 0.6875             | 0.2640          | -298.3184      | -271.8824    | -2.5030         | -2.5443       |
| 0.3114        | 0.6969 | 100  | 0.5684          | -1.2749        | -2.2355          | 0.7188             | 0.9606          | -486.2125      | -390.1244    | 1.4736          | 0.8929        |
| 0.2115        | 1.0453 | 150  | 0.5424          | -1.1893        | -2.3764          | 0.7344             | 1.1871          | -500.3030      | -381.5569    | 1.7464          | 0.8516        |
| 0.1459        | 1.3937 | 200  | 0.5506          | -1.5868        | -2.9488          | 0.7383             | 1.3620          | -557.5460      | -421.3102    | 2.1181          | 1.2033        |
| 0.155         | 1.7422 | 250  | 0.5421          | -1.7379        | -3.1364          | 0.7422             | 1.3985          | -576.3018      | -436.4162    | 0.6639          | -0.1257       |
| 0.0778        | 2.0906 | 300  | 0.5661          | -2.2459        | -3.9084          | 0.7578             | 1.6626          | -653.5056      | -487.2183    | 2.4478          | 1.3197        |
| 0.063         | 2.4390 | 350  | 0.5745          | -2.4511        | -4.2302          | 0.7461             | 1.7791          | -685.6794      | -507.7419    | 3.2009          | 2.0299        |
| 0.0546        | 2.7875 | 400  | 0.5884          | -2.9614        | -4.9020          | 0.7578             | 1.9406          | -752.8591      | -558.7693    | 3.7820          | 2.5008        |


### Framework versions

- Transformers 4.44.0.dev0
- Pytorch 2.1.2
- Datasets 2.20.0
- Tokenizers 0.19.1