---
license: apache-2.0
library_name: peft
tags:
- trl
- orpo
- generated_from_trainer
base_model: cognitivecomputations/dolphin-2.1-mistral-7b
model-index:
- name: doplhin-2.1-mistral-7b-orpo-ultrafeedback-binarized-preferences
  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. -->

# doplhin-2.1-mistral-7b-orpo-ultrafeedback-binarized-preferences

This model is a fine-tuned version of [cognitivecomputations/dolphin-2.1-mistral-7b](https://huggingface.co/cognitivecomputations/dolphin-2.1-mistral-7b) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.8506
- Rewards/chosen: -0.0852
- Rewards/rejected: -0.1166
- Rewards/accuracies: 0.6457
- Rewards/margins: 0.0314
- Logps/rejected: -1.1665
- Logps/chosen: -0.8525
- Logits/rejected: -2.6517
- Logits/chosen: -2.7250
- Nll Loss: 0.7896
- Log Odds Ratio: -0.6110
- Log Odds Chosen: 0.4581

## 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-05
- train_batch_size: 4
- eval_batch_size: 4
- seed: 42
- 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 | Nll Loss | Log Odds Ratio | Log Odds Chosen |
|:-------------:|:-----:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:|:--------:|:--------------:|:---------------:|
| 0.9101        | 0.25  | 700  | 0.8845          | -0.0869        | -0.1106          | 0.6428             | 0.0237          | -1.1059        | -0.8694      | -2.6631         | -2.7431       | 0.8224   | -0.6225        | 0.3631          |
| 0.8554        | 0.51  | 1400 | 0.8609          | -0.0877        | -0.1233          | 0.6555             | 0.0357          | -1.2332        | -0.8766      | -2.6169         | -2.6996       | 0.8007   | -0.6040        | 0.5048          |
| 0.9011        | 0.76  | 2100 | 0.8506          | -0.0852        | -0.1166          | 0.6457             | 0.0314          | -1.1665        | -0.8525      | -2.6517         | -2.7250       | 0.7896   | -0.6110        | 0.4581          |


### Framework versions

- PEFT 0.10.1.dev0
- Transformers 4.40.0.dev0
- Pytorch 2.1.2+cu121
- Datasets 2.18.1.dev0
- Tokenizers 0.15.2