LegalLMs
Collection
XLM-RoBERTa models with continued pretraining on the MultiLegalPile • 37 items • Updated • 4
How to use joelniklaus/legal-bulgarian-roberta-base with Transformers:
# Use a pipeline as a high-level helper
from transformers import pipeline
pipe = pipeline("fill-mask", model="joelniklaus/legal-bulgarian-roberta-base") # Load model directly
from transformers import AutoTokenizer, AutoModelForMaskedLM
tokenizer = AutoTokenizer.from_pretrained("joelniklaus/legal-bulgarian-roberta-base")
model = AutoModelForMaskedLM.from_pretrained("joelniklaus/legal-bulgarian-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 |
|---|---|---|---|
| 0.7922 | 18.01 | 50000 | 0.5792 |
| 0.7107 | 37.01 | 100000 | 0.5011 |
| 0.6712 | 56.01 | 150000 | 0.4763 |
| 0.6598 | 75.01 | 200000 | 0.4611 |