BramVanroy
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README.md
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---
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license: mit
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base_model: BramVanroy/fietje-
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tags:
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- trl
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- fietje
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- BramVanroy/ultra_feedback_dutch_cleaned
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- BramVanroy/orca_dpo_pairs_dutch_cleaned
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model-index:
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- name: fietje-
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results: []
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pipeline_tag: text-generation
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inference: false
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---
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<p align="center" style="margin:0;padding:0">
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<img src="https://huggingface.co/BramVanroy/fietje-
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</p>
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<div style="margin:auto; text-align:center">
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<h1 style="margin-bottom: 0">Fietje
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<em>An open and efficient LLM for Dutch</em>
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</div>
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<blockquote class="tip" style="padding: 1.5em; border: 0">
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<p align="center" style="text-align: center; margin: 0">
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<a href="https://huggingface.co/BramVanroy/fietje-
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<a href="https://huggingface.co/BramVanroy/fietje-
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<a href="https://huggingface.co/BramVanroy/fietje-
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<a href="https://huggingface.co/BramVanroy/fietje-
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</p>
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<p align="center" style="text-align: center; margin: 0">
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<a href="https://huggingface.co/spaces/BramVanroy/fietje-
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</p>
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</blockquote>
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This is the chat version of Fietje, a DPO-tuned (aligned) continuation on [the instruct version](https://huggingface.co/BramVanroy/fietje-
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A thorough description of the creation and evaluation of Fietje as well as usage examples are available in [this Github repository](https://github.com/BramVanroy/fietje).
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## Training and evaluation data
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Fietje
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- [BramVanroy/ultra_feedback_dutch_cleaned](https://huggingface.co/datasets/BramVanroy/ultra_feedback_dutch_cleaned) subset `dpo_hq`: a cleaned version of [BramVanroy/ultra_feedback_dutch](https://huggingface.co/datasets/BramVanroy/ultra_feedback_dutch) (9186)
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- [BramVanroy/orca_dpo_pairs_dutch_cleaned](https://huggingface.co/datasets/BramVanroy/orca_dpo_pairs_dutch_cleaned) subset `dpo_all`: a cleaned version of [BramVanroy/orca_dpo_pairs_dutch](https://huggingface.co/datasets/BramVanroy/orca_dpo_pairs_dutch) (9467)
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A lot of different learning rates, beta, en batch sizes were investigated in search of a converging combination. You can find them all in [the W&B runs](https://wandb.ai/bramvanroy/dpo-fietje-
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## Training procedure
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---
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license: mit
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base_model: BramVanroy/fietje-2-instruct
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tags:
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- trl
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- fietje
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- BramVanroy/ultra_feedback_dutch_cleaned
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- BramVanroy/orca_dpo_pairs_dutch_cleaned
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model-index:
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- name: fietje-2-chat
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results: []
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pipeline_tag: text-generation
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inference: false
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---
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<p align="center" style="margin:0;padding:0">
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<img src="https://huggingface.co/BramVanroy/fietje-2-chat/resolve/main/img/fietje-2b-banner-rounded.png" alt="Fietje banner" width="800" style="margin-left:'auto' margin-right:'auto' display:'block'"/>
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</p>
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<div style="margin:auto; text-align:center">
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<h1 style="margin-bottom: 0">Fietje 2 Chat</h1>
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<em>An open and efficient LLM for Dutch</em>
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</div>
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<blockquote class="tip" style="padding: 1.5em; border: 0">
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<p align="center" style="text-align: center; margin: 0">
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<a href="https://huggingface.co/BramVanroy/fietje-2">π±ββοΈ Base version</a> -
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<a href="https://huggingface.co/BramVanroy/fietje-2-instruct">π€ Instruct version</a> -
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<a href="https://huggingface.co/BramVanroy/fietje-2-chat">π¬ Chat version</a> (this one) -
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<a href="https://huggingface.co/BramVanroy/fietje-2-chat-GGUF">π GGUF of Chat</a>
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</p>
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<p align="center" style="text-align: center; margin: 0">
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<a href="https://huggingface.co/spaces/BramVanroy/fietje-2"><strong>Chat with Fietje here!</strong></a>
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</p>
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</blockquote>
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This is the chat version of Fietje, a DPO-tuned (aligned) continuation on [the instruct version](https://huggingface.co/BramVanroy/fietje-2-instruct). Fietje is an adapated version of [microsoft/phi-2](https://huggingface.co/microsoft/phi-2), tailored to Dutch text generation by training on 28B tokens. It is small and efficient with a size of 2.7 billion parameters while performing almost on par with more powerful Dutch LLMs of twice its size like [GEITje 7B Ultra](https://huggingface.co/BramVanroy/GEITje-7B-ultra).
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A thorough description of the creation and evaluation of Fietje as well as usage examples are available in [this Github repository](https://github.com/BramVanroy/fietje).
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## Training and evaluation data
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Fietje 2 Chat was finetuned from [the instruct model](https://huggingface.co/BramVanroy/fietje-2-instruct) on the following datasets. Number of training samples per dataset given in brackets, totalling 18,653 samples.
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- [BramVanroy/ultra_feedback_dutch_cleaned](https://huggingface.co/datasets/BramVanroy/ultra_feedback_dutch_cleaned) subset `dpo_hq`: a cleaned version of [BramVanroy/ultra_feedback_dutch](https://huggingface.co/datasets/BramVanroy/ultra_feedback_dutch) (9186)
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- [BramVanroy/orca_dpo_pairs_dutch_cleaned](https://huggingface.co/datasets/BramVanroy/orca_dpo_pairs_dutch_cleaned) subset `dpo_all`: a cleaned version of [BramVanroy/orca_dpo_pairs_dutch](https://huggingface.co/datasets/BramVanroy/orca_dpo_pairs_dutch) (9467)
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A lot of different learning rates, beta, en batch sizes were investigated in search of a converging combination. You can find them all in [the W&B runs](https://wandb.ai/bramvanroy/dpo-fietje-2).
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## Training procedure
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