---
license: cc-by-nc-4.0
base_model: BramVanroy/GEITje-ultra-sft
tags:
- trl
- dpo
- generated_from_trainer
model-index:
- name: GEITje-ultra-dpo-5e-7lr-128tbs-0.1b
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# GEITje-ultra-dpo-5e-7lr-128tbs-0.1b

This model is a fine-tuned version of [BramVanroy/GEITje-ultra-sft](https://huggingface.co/BramVanroy/GEITje-ultra-sft) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0138
- Rewards/chosen: -2.1351
- Rewards/rejected: -13.8922
- Rewards/accuracies: 0.9950
- Rewards/margins: 11.7570
- Logps/rejected: -565.1809
- Logps/chosen: -519.8008
- Logits/rejected: -3.0261
- Logits/chosen: -2.9779

## 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-07
- train_batch_size: 4
- eval_batch_size: 4
- seed: 42
- distributed_type: multi-GPU
- num_devices: 8
- gradient_accumulation_steps: 4
- total_train_batch_size: 128
- total_eval_batch_size: 32
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 1.0

### Training results

| Training Loss | Epoch | Step | Validation Loss | Rewards/chosen | Rewards/rejected | Rewards/accuracies | Rewards/margins | Logps/rejected | Logps/chosen | Logits/rejected | Logits/chosen |
|:-------------:|:-----:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:|
| 0.03          | 0.22  | 100  | 0.0260          | -0.9740        | -9.8635          | 0.9913             | 8.8895          | -524.8940      | -508.1891    | -3.0753         | -3.0315       |
| 0.0184        | 0.44  | 200  | 0.0164          | -1.7162        | -12.4772         | 0.9926             | 10.7610         | -551.0317      | -515.6115    | -3.0349         | -2.9873       |
| 0.0121        | 0.66  | 300  | 0.0142          | -2.0575        | -13.6818         | 0.9938             | 11.6244         | -563.0778      | -519.0242    | -3.0325         | -2.9835       |
| 0.0198        | 0.88  | 400  | 0.0139          | -2.1431        | -13.8857         | 0.9950             | 11.7426         | -565.1163      | -519.8801    | -3.0293         | -2.9801       |


### Framework versions

- Transformers 4.36.2
- Pytorch 2.1.2+cu121
- Datasets 2.14.6
- Tokenizers 0.15.0