---
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-2.1-mistral-7b-dpo-ultrafeedback-binarized-preferences-ipo
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# doplhin-2.1-mistral-7b-dpo-ultrafeedback-binarized-preferences-ipo

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: 13.6404
- Rewards/chosen: -0.4693
- Rewards/rejected: -0.7026
- Rewards/accuracies: 0.8234
- Rewards/margins: 0.2333
- Logps/rejected: -9.0933
- Logps/chosen: -6.2746
- Logits/rejected: -0.8214
- Logits/chosen: -0.8422

## 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 |
|:-------------:|:-----:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:|
| 17.7871       | 0.25  | 700  | 16.4082         | -0.2243        | -0.3706          | 0.7903             | 0.1464          | -5.7735        | -3.8245      | -1.8423         | -1.8837       |
| 13.4212       | 0.51  | 1400 | 14.5490         | -0.4924        | -0.7383          | 0.8092             | 0.2459          | -9.4501        | -6.5058      | -0.9174         | -0.9510       |
| 13.2665       | 0.76  | 2100 | 13.6404         | -0.4693        | -0.7026          | 0.8234             | 0.2333          | -9.0933        | -6.2746      | -0.8214         | -0.8422       |


### Framework versions

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