---
tags:
- trl
- dpo
- generated_from_trainer
model-index:
- name: selective-pairrm-33079692-mt2
  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-33079692-mt2

This model was trained from scratch on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.7212
- Rewards/chosen: -2.3879
- Rewards/rejected: -2.5044
- Rewards/accuracies: 0.5742
- Rewards/margins: 0.1164
- Logps/rejected: -817.7779
- Logps/chosen: -781.7959
- Logits/rejected: -3.0082
- Logits/chosen: -3.0229

## 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 |
|:-------------:|:-----:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:|
| 0.3678        | 0.32  | 100  | 0.8166          | -3.5115        | -3.6302          | 0.5703             | 0.1186          | -930.3584      | -894.1545    | -3.2211         | -3.2330       |
| 0.5115        | 0.64  | 200  | 0.7558          | -2.9722        | -3.0863          | 0.5781             | 0.1141          | -875.9759      | -840.2244    | -2.8707         | -2.8897       |
| 0.6156        | 0.96  | 300  | 0.7196          | -2.3861        | -2.5020          | 0.5703             | 0.1159          | -817.5390      | -781.6083    | -3.0086         | -3.0233       |


### Framework versions

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