CoolFace
Modelpublic

atzenhofer/distilroberta-base-mhg-charter-mlm

sourceHugging Facegpl-3.0updated 3y agoView on Hugging Face
1likes9downloads
Model Card

DistilRoBERTa (base) Middle High German Charter Masked Language Model

This model is a fine-tuned version of distilroberta-base on Middle High German (gmh; ISO 639-2; c. 1050–1500) charters of the monasterium.net data set.

Model description

Please refer this model together with to the distilroberta (base-sized model) card or the paper DistilBERT, a distilled version of BERT: smaller, faster, cheaper and lighter by Sanh et al. for additional information.

Intended uses & limitations

This model can be used for sequence prediction tasks, i.e., fill-masks.

Training and evaluation data

The model was fine-tuned using the Middle High German Monasterium charters. It was trained on a NVIDIA GeForce GTX 1660 Ti 6GB GPU.

Training hyperparameters

The following hyperparameters were used during training:

  • —numtrainepochs: 10
  • —learning_rate: 2e-5
  • —weight-decay: 0,01
  • —trainbatchsize: 8
  • —evalbatchsize: 8
  • —num_proc: 4
  • —block_size: 256

Training results

EpochTraining LossValidation Loss
12.5370002.112094
22.0534001.838937
31.9003001.706654
41.7662001.607970
51.6692001.532340
61.6191001.490333
71.5713001.476035
81.5431001.428958
91.5171001.423216
101.5083001.408235

Perplexity: 4.07

Updates

  • —2023-03-30: Upload

Citation

Please cite as follows when using this model.

@misc{distilroberta-base-mhg-charter-mlm,
  title={distilroberta-base-mhg-charter-mlm},
  author={Atzenhofer-Baumgartner, Florian},
  year         = { 2023 },
  url          = { https://huggingface.co/atzenhofer/distilroberta-base-mhg-charter-mlm },
  publisher    = { Hugging Face }
}