Model created for the paper "Preferences for Idiomatic Language are Acquired Slowly --- and Forgotten Quickly: A Case Study on Swedish", TACL 2026.

Citation

@misc{kunz2026preferencesidiomaticlanguageacquired,
      title={Preferences for Idiomatic Language are Acquired Slowly -- and Forgotten Quickly: A Case Study on Swedish}, 
      author={Jenny Kunz},
      year={2026},
      eprint={2602.03484},
      archivePrefix={arXiv},
      primaryClass={cs.CL},
      url={https://arxiv.org/abs/2602.03484}, 
}

Training:

This is a model with the same architecture and configuration as SmolLM2-135M trained from scratch on the Swedish portion of Fineweb-2.

1 Epoch
Learning rate: 5e-4
LR scheduler: Cosine
Warmup ratio: 0.05
Batch size: 1
4 A100 (40GB) GPUs
Gradient accumulation steps: 64
Effective batch size: 256
Max. context length: 8192 tokens

Limitations

This is a research model intended for studying pre-training dynamics and I do not recommend using it for any practical purposes. It is trained on a web corpus, and no alignment whatsoever has been performed, which means that the model will likely reflect its training data's biases and produce lots of hallucinations.