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-maximal
  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-maximal

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: 0.3380
- Rewards/chosen: -0.1339
- Rewards/rejected: -3.0976
- Rewards/accuracies: 0.8790
- Rewards/margins: 2.9637
- Logps/rejected: -275.9525
- Logps/chosen: -285.9466
- Logits/rejected: -2.1375
- Logits/chosen: -2.2908

## 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 |
|:-------------:|:-----:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:|
| 0.3619        | 0.26  | 500  | 0.3822          | 0.1843         | -2.0970          | 0.8651             | 2.2812          | -265.9466      | -282.7652    | -2.1994         | -2.3618       |
| 0.396         | 0.52  | 1000 | 0.3747          | -0.7559        | -3.2293          | 0.8730             | 2.4733          | -277.2696      | -292.1672    | -2.1335         | -2.2927       |
| 0.3618        | 0.78  | 1500 | 0.3452          | -0.4962        | -3.2836          | 0.875              | 2.7874          | -277.8134      | -289.5698    | -2.1794         | -2.3280       |


### Framework versions

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