LegalLMs
Collection
XLM-RoBERTa models with continued pretraining on the MultiLegalPile • 37 items • Updated • 4
How to use joelniklaus/legal-dutch-roberta-base with Transformers:
# Use a pipeline as a high-level helper
from transformers import pipeline
pipe = pipeline("fill-mask", model="joelniklaus/legal-dutch-roberta-base") # Load model directly
from transformers import AutoTokenizer, AutoModelForMaskedLM
tokenizer = AutoTokenizer.from_pretrained("joelniklaus/legal-dutch-roberta-base")
model = AutoModelForMaskedLM.from_pretrained("joelniklaus/legal-dutch-roberta-base")This model was trained from scratch on an unknown dataset. It achieves the following results on the evaluation set:
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The following hyperparameters were used during training:
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.9507 | 9.02 | 50000 | 0.3073 |
| 0.8777 | 19.02 | 100000 | 0.2592 |
| 0.6977 | 29.01 | 150000 | 0.2398 |
| 0.6732 | 39.01 | 200000 | 0.2365 |