---
license: mit
base_model: BramVanroy/fietje-2b-sft
tags:
- alignment-handbook
- trl
- dpo
- generated_from_trainer
- trl
- dpo
- generated_from_trainer
datasets:
- BramVanroy/ultra_feedback_dutch_cleaned
- BramVanroy/orca_dpo_pairs_dutch_cleaned
model-index:
- name: fietje-2b-dpo-lr2.0e-6-beta0.2-gradaccum2-v6
  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. -->

# fietje-2b-dpo-lr2.0e-6-beta0.2-gradaccum2-v6

This model is a fine-tuned version of [BramVanroy/fietje-2b-sft](https://huggingface.co/BramVanroy/fietje-2b-sft) on the BramVanroy/ultra_feedback_dutch_cleaned and the BramVanroy/orca_dpo_pairs_dutch_cleaned datasets.
It achieves the following results on the evaluation set:
- Loss: 0.2842
- Rewards/chosen: -1.1549
- Rewards/rejected: -3.6363
- Rewards/accuracies: 0.8867
- Rewards/margins: 2.4815
- Logps/rejected: -657.6813
- Logps/chosen: -451.3364
- Logits/rejected: -1.2868
- Logits/chosen: -1.3528

## 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: 2e-06
- train_batch_size: 8
- eval_batch_size: 4
- seed: 42
- distributed_type: multi-GPU
- gradient_accumulation_steps: 2
- total_train_batch_size: 16
- optimizer: Adam with betas=(0.9,0.98) and epsilon=1e-07
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 1.0

### Training results

| Training Loss | Epoch | Step | Validation Loss | Rewards/chosen | Rewards/rejected | Rewards/accuracies | Rewards/margins | Logps/rejected | Logps/chosen | Logits/rejected | Logits/chosen |
|:-------------:|:-----:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:|
| 0.2515        | 1.0   | 1166 | 0.2842          | -1.1549        | -3.6363          | 0.8867             | 2.4815          | -657.6813      | -451.3364    | -1.2868         | -1.3528       |


### Framework versions

- Transformers 4.39.1
- Pytorch 2.1.2+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2