---
tags:
- trl
- dpo
- generated_from_trainer
model-index:
- name: selective-pairrm-33076849-mt1
  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. -->

# selective-pairrm-33076849-mt1

This model was trained from scratch on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.7142
- Rewards/chosen: -1.4159
- Rewards/rejected: -1.4967
- Rewards/accuracies: 0.5469
- Rewards/margins: 0.0808
- Logps/rejected: -567.3423
- Logps/chosen: -543.0017
- Logits/rejected: -3.1535
- Logits/chosen: -3.1646

## 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 | Logps/rejected | Logps/chosen | Logits/rejected | Logits/chosen |
|:-------------:|:-----:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:|
| 0.5687        | 0.32  | 100  | 0.7266          | -1.4745        | -1.5426          | 0.5352             | 0.0681          | -571.9306      | -548.8583    | -3.1296         | -3.1416       |
| 0.5901        | 0.64  | 200  | 0.7177          | -1.4102        | -1.4850          | 0.5469             | 0.0748          | -566.1749      | -542.4269    | -3.1042         | -3.1156       |
| 0.6278        | 0.96  | 300  | 0.7142          | -1.4212        | -1.5010          | 0.5547             | 0.0798          | -567.7791      | -543.5320    | -3.1529         | -3.1641       |


### Framework versions

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