---
license: apache-2.0
library_name: peft
tags:
- trl
- orpo
- generated_from_trainer
base_model: sail/Sailor-1.8B
model-index:
- name: OrpoSailor-1.8B
  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. -->

# OrpoSailor-1.8B

This model is a fine-tuned version of [sail/Sailor-1.8B](https://huggingface.co/sail/Sailor-1.8B) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 4.4472
- Rewards/chosen: -0.1546
- Rewards/rejected: -0.1440
- Rewards/accuracies: 0.0
- Rewards/margins: -0.0106
- Logps/rejected: -1.4399
- Logps/chosen: -1.5456
- Logits/rejected: 0.0181
- Logits/chosen: -1.6644
- Nll Loss: 4.3708
- Log Odds Ratio: -0.7637
- Log Odds Chosen: -0.1364

## 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: 8e-06
- train_batch_size: 2
- eval_batch_size: 2
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 8
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 10
- 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 | Nll Loss | Log Odds Ratio | Log Odds Chosen |
|:-------------:|:-----:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:|:--------:|:--------------:|:---------------:|
| 4.5248        | 0.8   | 1    | 4.4472          | -0.1546        | -0.1440          | 0.0                | -0.0106         | -1.4399        | -1.5456      | 0.0181          | -1.6644       | 4.3708   | -0.7637        | -0.1364         |


### Framework versions

- PEFT 0.10.0
- Transformers 4.40.0
- Pytorch 2.1.2
- Datasets 2.19.0
- Tokenizers 0.19.1