File size: 2,812 Bytes
71479e4 0dea749 71479e4 0dea749 71479e4 0dea749 145ccea 71479e4 0dea749 340479a 0dea749 71479e4 0dea749 340479a 3927ae9 0dea749 340479a 0dea749 10f8e87 71479e4 0dea749 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 |
---
license: mit
base_model: microsoft/phi-2
tags:
- trl
- fietje
- alignment-handbook
datasets:
- uonlp/CulturaX
- wikimedia/wikipedia
model-index:
- name: fietje-2b
results: []
language:
- nl
pipeline_tag: text-generation
inference: false
---
<p align="center" style="margin:0;padding:0">
<img src="https://huggingface.co/BramVanroy/fietje-2b/resolve/main/img/fietje-2b-banner.png" alt="Fietje banner" width="800" style="margin-left:'auto' margin-right:'auto' display:'block'"/>
</p>
<div style="margin:auto; text-align:center">
<h1 style="margin-bottom: 0">Fietje 2B</h1>
<em>An open and efficient LLM for Dutch</em>
</div>
<blockquote class="tip">
<p align="center">
<a rel="nofollow" href="https://huggingface.co/BramVanroy/fietje-2b">👱♀️ Base version</a> (this one) -
<a rel="nofollow" href="https://huggingface.co/BramVanroy/fietje-2b-instruct">🤖 Instruct version</a> -
<a rel="nofollow" href="https://huggingface.co/BramVanroy/fietje-2b-chat">💬 Chat version</a> -
<a rel="nofollow" href="https://huggingface.co/BramVanroy/fietje-2b-GGUF">🚀 GGUF of base model</a>
</p>
</blockquote>
This model is an adapted version of [microsoft/phi-2](https://huggingface.co/microsoft/phi-2), finetuned for Dutch text generation. It was continue-pretrained on 28B Dutch tokens, which includes the full Dutch component of Wikipedia (accounting for around 15%), supplemented with Dutch tokens from CulturaX. A newer version of this dataset can be found [here](https://huggingface.co/datasets/BramVanroy/wikipedia_culturax_dutch), which also describes the filtering that took place.
## 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: 9e-05
- train_batch_size: 40
- eval_batch_size: 40
- seed: 42
- distributed_type: multi-GPU
- num_devices: 16
- gradient_accumulation_steps: 3
- total_train_batch_size: 1920
- total_eval_batch_size: 640
- optimizer: Adam with betas=(0.9,0.98) and epsilon=1e-07
- lr_scheduler_type: linear
- num_epochs: 1.0
### Training results
| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 1.6334 | 0.13 | 900 | 1.5937 |
| 1.5469 | 0.26 | 1800 | 1.5051 |
| 1.4937 | 0.4 | 2700 | 1.4628 |
| 1.4633 | 0.53 | 3600 | 1.4375 |
| 1.4485 | 0.66 | 4500 | 1.4203 |
| 1.4374 | 0.79 | 5400 | 1.4085 |
| 1.4278 | 0.92 | 6300 | 1.4013 |
### Framework versions
- Transformers 4.39.1
- Pytorch 2.1.2+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2 |