---
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-kto_pair
  results: []
---

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# doplhin-mistral-dpo-ultrafeedback-binarized-preferences-kto_pair

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: 0.2024
- Rewards/chosen: 3.9237
- Rewards/rejected: -1.2199
- Rewards/accuracies: 0.7871
- Rewards/margins: 5.1437
- Logps/rejected: -319.8331
- Logps/chosen: -311.9210
- Logits/rejected: -2.2827
- Logits/chosen: -2.4135

## 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 |
|:-------------:|:-----:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:|
| 0.2261        | 0.25  | 700  | 0.2691          | 3.8384         | 0.5201           | 0.6951             | 3.3183          | -302.4326      | -312.7741    | -2.4004         | -2.5103       |
| 0.1934        | 0.51  | 1400 | 0.2197          | 3.0918         | -2.0543          | 0.7802             | 5.1461          | -328.1768      | -320.2403    | -2.3140         | -2.4316       |
| 0.2163        | 0.76  | 2100 | 0.2024          | 3.9237         | -1.2199          | 0.7871             | 5.1437          | -319.8331      | -311.9210    | -2.2827         | -2.4135       |


### Framework versions

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