---
license: apache-2.0
library_name: peft
tags:
- trl
- dpo
- generated_from_trainer
base_model: cognitivecomputations/dolphin-2.1-mistral-7b
model-index:
- name: doplhin-dpo-mnlp
  results: []
---

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# doplhin-dpo-mnlp

This model is a fine-tuned version of [cognitivecomputations/dolphin-2.1-mistral-7b](https://huggingface.co/cognitivecomputations/dolphin-2.1-mistral-7b) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0533
- Rewards/chosen: 1.5359
- Rewards/rejected: -19.2198
- Rewards/accuracies: 0.9859
- Rewards/margins: 20.7558
- Logps/rejected: -297.6228
- Logps/chosen: -116.0773
- Logits/rejected: -2.0080
- Logits/chosen: -2.2270

## 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: 6
- eval_batch_size: 6
- 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 |
|:-------------:|:------:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:|
| 0.1834        | 0.2313 | 65   | 0.0205          | -4.0635        | -21.5516         | 0.9883             | 17.4881         | -320.9407      | -172.0718    | -2.2051         | -2.5538       |
| 0.3173        | 0.4626 | 130  | 0.0478          | -3.7133        | -20.7365         | 0.9812             | 17.0232         | -312.7894      | -168.5696    | -1.7985         | -2.0459       |
| 0.0481        | 0.6940 | 195  | 0.0392          | 1.3063         | -18.0062         | 0.9883             | 19.3124         | -285.4860      | -118.3736    | -1.8805         | -2.1378       |
| 0.0079        | 0.9253 | 260  | 0.0533          | 1.5359         | -19.2198         | 0.9859             | 20.7558         | -297.6228      | -116.0773    | -2.0080         | -2.2270       |


### Framework versions

- PEFT 0.11.1
- Transformers 4.41.1
- Pytorch 2.1.2+cu121
- Datasets 2.19.1
- Tokenizers 0.19.1