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atzenhofer/distilroberta-base-mhg-charter-mlm
distilroberta-base-mhg-charter-mlm is a fill-mask model from atzenhofer. Use it when you need the model to fill a missing word. It is set up for transformers. The card lists the license as gpl-3.0.
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.
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From the Hugging Face model README
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.
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.
This model can be used for sequence prediction tasks, i.e., fill-masks.
The model was fine-tuned using the Middle High German Monasterium charters. It was trained on a NVIDIA GeForce GTX 1660 Ti 6GB GPU.
The following hyperparameters were used during training:
| Epoch | Training Loss | Validation Loss |
|---|---|---|
| 1 | 2.537000 | 2.112094 |
| 2 | 2.053400 | 1.838937 |
| 3 | 1.900300 | 1.706654 |
| 4 | 1.766200 | 1.607970 |
| 5 | 1.669200 | 1.532340 |
| 6 | 1.619100 | 1.490333 |
| 7 | 1.571300 | 1.476035 |
| 8 | 1.543100 | 1.428958 |
| 9 | 1.517100 | 1.423216 |
| 10 | 1.508300 | 1.408235 |
Perplexity: 4.07
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 }
}