---
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-mistral-dpo-ultrafeedback-binarized-preferences-sigmoid
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# doplhin-mistral-dpo-ultrafeedback-binarized-preferences-sigmoid

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: 0.6025
- Rewards/chosen: -7.8168
- Rewards/rejected: -14.5388
- Rewards/accuracies: 0.8310
- Rewards/margins: 6.7220
- Logps/rejected: -469.4976
- Logps/chosen: -438.1190
- Logits/rejected: -2.1911
- Logits/chosen: -2.3064

## 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 |
|:-------------:|:-----:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:|
| 1.0466        | 0.25  | 700  | 0.8185          | -6.6407        | -9.8742          | 0.7464             | 3.2335          | -422.8520      | -426.3579    | -2.3161         | -2.4530       |
| 0.7039        | 0.51  | 1400 | 0.7051          | -6.5305        | -12.5351         | 0.8085             | 6.0046          | -449.4607      | -425.2558    | -2.1415         | -2.2554       |
| 0.9519        | 0.76  | 2100 | 0.6025          | -7.8168        | -14.5388         | 0.8310             | 6.7220          | -469.4976      | -438.1190    | -2.1911         | -2.3064       |


### Framework versions

- PEFT 0.8.2
- Transformers 4.37.2
- Pytorch 2.1.2+cu121
- Datasets 2.16.1
- Tokenizers 0.15.2