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--- |
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license: mit |
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base_model: BramVanroy/fietje-2b |
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tags: |
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- trl |
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- fietje |
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- alignment-handbook |
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- sft |
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datasets: |
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- BramVanroy/ultrachat_200k_dutch |
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- BramVanroy/no_robots_dutch |
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- BramVanroy/belebele_dutch |
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model-index: |
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- name: fietje-2b-instruct |
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results: [] |
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pipeline_tag: text-generation |
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inference: false |
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language: |
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- nl |
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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-2b-instruct/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 2B Instruct</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"> |
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<p align="center"> |
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<a rel="nofollow" href="https://huggingface.co/BramVanroy/fietje-2b">👱♀️ Base version</a> - |
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<a rel="nofollow" href="https://huggingface.co/BramVanroy/fietje-2b-instruct">🤖 Instruct version</a> (this one) - |
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<a rel="nofollow" href="https://huggingface.co/BramVanroy/fietje-2b-chat">💬 Chat version</a> - |
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<a rel="nofollow" href="https://huggingface.co/BramVanroy/fietje-2b-chat-GGUF">🚀 GGUF of instruct model</a> |
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</p> |
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</blockquote> |
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# fietje-2b-sft |
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This model is a fine-tuned version of [BramVanroy/fietje-2b](https://huggingface.co/BramVanroy/fietje-2b) on the generator dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.8818 |
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## Model description |
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More information needed |
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## Intended uses & limitations |
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More information needed |
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## Training and evaluation data |
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More information needed |
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## Training procedure |
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### Training hyperparameters |
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The following hyperparameters were used during training: |
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- learning_rate: 6e-05 |
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- train_batch_size: 42 |
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- eval_batch_size: 42 |
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- seed: 42 |
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- distributed_type: multi-GPU |
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- num_devices: 16 |
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- total_train_batch_size: 672 |
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- total_eval_batch_size: 672 |
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- optimizer: Adam with betas=(0.9,0.98) and epsilon=1e-07 |
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- lr_scheduler_type: cosine |
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- lr_scheduler_warmup_ratio: 0.1 |
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- num_epochs: 3.0 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:-----:|:----:|:---------------:| |
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| 0.9325 | 1.0 | 178 | 0.9060 | |
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| 0.8687 | 2.0 | 356 | 0.8850 | |
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| 0.8385 | 3.0 | 534 | 0.8818 | |
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### Framework versions |
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- Transformers 4.39.1 |
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- Pytorch 2.1.2+cu121 |
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- Datasets 2.18.0 |
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- Tokenizers 0.15.2 |
