transformers tensorboard safetensors mistral text-generation trl dpo generated_from_trainer conversational base_model:alignment-handbook/zephyr-7b-sft-full license:apache-2.0 autotrain_compatible endpoints_compatible text-generation-inference region:us
---
license: apache-2.0
base_model: alignment-handbook/zephyr-7b-sft-full
tags:
- trl
- dpo
- generated_from_trainer
model-index:
- name: zephyr-7b-dpo-reference
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# zephyr-7b-dpo-reference

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: 0.0429
- Rewards/chosen: -0.5987
- Rewards/rejected: -10.2552
- Rewards/accuracies: 0.9741
- Rewards/margins: 9.6565
- Logps/rejected: -175.1052
- Logps/chosen: -304.8906
- Logits/rejected: -1.9643
- Logits/chosen: -2.1592

## 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: 4
- total_train_batch_size: 32
- total_eval_batch_size: 32
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- 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 |
|:-------------:|:-----:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:|
| 0.0811        | 0.29  | 500  | 0.0543          | -0.5167        | -8.9128          | 0.9720             | 8.3961          | -161.6813      | -304.0705    | -2.0037         | -2.1857       |
| 0.0362        | 0.57  | 1000 | 0.0483          | -0.4980        | -9.5824          | 0.9720             | 9.0844          | -168.3771      | -303.8834    | -2.0113         | -2.2030       |
| 0.0318        | 0.86  | 1500 | 0.0442          | -0.8458        | -10.5987         | 0.9720             | 9.7529          | -178.5403      | -307.3617    | -1.9506         | -2.1461       |


### Framework versions

- Transformers 4.36.1
- Pytorch 2.0.1+cu117
- Datasets 2.16.1
- Tokenizers 0.15.0
