---
tags:
- trl
- dpo
- generated_from_trainer
model-index:
- name: dpo-selective-buffer-safeipo
  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. -->

# dpo-selective-buffer-safeipo

This model was trained from scratch on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 4449.9023
- Rewards/chosen: -0.8766
- Rewards/rejected: -0.9587
- Rewards/accuracies: 0.6161
- Rewards/margins: 0.0822
- Rewards/safe Rewards: -0.8653
- Rewards/unsafe Rewards: -0.8608
- Logps/rejected: -198.0037
- Logps/chosen: -228.0047
- Logits/rejected: 1.7482
- Logits/chosen: 0.9054

## 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: 4
- eval_batch_size: 8
- seed: 42
- distributed_type: multi-GPU
- num_devices: 4
- gradient_accumulation_steps: 4
- total_train_batch_size: 64
- total_eval_batch_size: 32
- 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 | Rewards/safe Rewards | Rewards/unsafe Rewards | Logps/rejected | Logps/chosen | Logits/rejected | Logits/chosen |
|:-------------:|:-----:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------------:|:----------------------:|:--------------:|:------------:|:---------------:|:-------------:|
| 5410.1973     | 0.27  | 500  | 4657.3340       | -0.6508        | -0.7493          | 0.6367             | 0.0984          | -0.6382              | -0.6354                | -177.0600      | -205.4323    | 0.6948          | -0.0099       |
| 5634.6316     | 0.53  | 1000 | 4507.8945       | -0.8000        | -0.8748          | 0.6152             | 0.0748          | -0.7886              | -0.7846                | -189.6167      | -220.3491    | 1.1542          | 0.4120        |
| 5749.5141     | 0.8   | 1500 | 4458.4429       | -0.8858        | -0.9723          | 0.6194             | 0.0865          | -0.8741              | -0.8700                | -199.3641      | -228.9305    | 1.9547          | 1.0718        |


### Framework versions

- Transformers 4.36.2
- Pytorch 2.1.2
- Datasets 2.14.6
- Tokenizers 0.15.0